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Sample records for depression significantly predicted

  1. Stress sensitivity interacts with depression history to predict depressive symptoms among youth: prospective changes following first depression onset.

    Science.gov (United States)

    Technow, Jessica R; Hazel, Nicholas A; Abela, John R Z; Hankin, Benjamin L

    2015-04-01

    Predictors of depressive symptoms may differ before and after the first onset of major depression due to stress sensitization. Dependent stressors, or those to which characteristics of individuals contribute, have been shown to predict depressive symptoms in youth. The current study sought to clarify how stressors' roles may differ before and after the first depressive episode. Adolescents (N = 382, aged 11 to 15 at baseline) were assessed at baseline and every 3 months over the course of 2 years with measures of stressors and depressive symptoms. Semi-structured interviews were conducted every 6 months to assess for clinically significant depressive episodes. Hierarchical linear modeling showed a significant interaction between history of depression and idiographic fluctuations in dependent stressors to predict prospective elevations of symptoms, such that dependent stressors were more predictive of depressive symptoms after onset of disorder. Independent stressors predicted symptoms, but the strength of the association did not vary by depression history. These results suggest a synthesis of dependent stress and stress sensitization processes that might maintain inter-episode depressive symptoms among youth with a history of clinical depression.

  2. Stress sensitivity interacts with depression history to predict depressive symptoms among youth: Prospective changes following first depression onset

    Science.gov (United States)

    Technow, Jessica R.; Hazel, Nicholas A.; Abela, John R. Z.; Hankin, Benjamin L.

    2015-01-01

    Predictors of depressive symptoms may differ before and after the first onset of major depression due to stress sensitization. Dependent stressors, or those to which characteristics of individuals contribute, have been shown to predict depressive symptoms in youth. The current study sought to clarify how stressors’ roles may differ before and after the first depressive episode. Adolescents (N = 382, aged 11 to 15 at baseline) were assessed at baseline and every three months over the course of two years with measures of stressors and depressive symptoms. Semi-structured interviews were conducted every 6 months to assess for clinically significant depressive episodes. Hierarchical linear modeling showed a significant interaction between history of depression and idiographic fluctuations in dependent stressors to predict prospective elevations of symptoms, such that dependent stressors were more predictive of depressive symptoms after onset of disorder. Independent stressors predicted symptoms, but the strength of the association did not vary by depression history. These results suggest a synthesis of stress sensitization and generation processes that might maintain inter-episode depressive symptoms among youth with a history of clinical depression. PMID:25123081

  3. Depressive vulnerabilities predict depression status and trajectories of depression over 1 year in persons with acute coronary syndrome.

    Science.gov (United States)

    Doyle, Frank; McGee, Hannah; Delaney, Mary; Motterlini, Nicola; Conroy, Ronán

    2011-01-01

    Depression is prevalent in patients hospitalized with acute coronary syndrome (ACS). We determined whether theoretical vulnerabilities for depression (interpersonal life events, reinforcing events, cognitive distortions, Type D personality) predicted depression, or depression trajectories, post-hospitalization. We followed 375 ACS patients who completed depression scales during hospital admission and at least once during three follow-up intervals over 1 year (949 observations). Questionnaires assessing vulnerabilities were completed at baseline. Logistic regression for panel/longitudinal data predicted depression status during follow-up. Latent class analysis determined depression trajectories. Multinomial logistic regression modeled the relationship between vulnerabilities and trajectories. Vulnerabilities predicted depression status over time in univariate and multivariate analysis, even when controlling for baseline depression. Proportions in each depression trajectory category were as follows: persistent (15%), subthreshold (37%), never depressed (48%). Vulnerabilities independently predicted each of these trajectories, with effect sizes significantly highest for the persistent depression group. Self-reported vulnerabilities - stressful life events, reduced reinforcing events, cognitive distortions, personality - measured during hospitalization can identify those at risk for depression post-ACS and especially those with persistent depressive episodes. Interventions should focus on these vulnerabilities. Copyright © 2011 Elsevier Inc. All rights reserved.

  4. Implicit but not explicit self-esteem predicts future depressive symptomatology.

    Science.gov (United States)

    Franck, Erik; De Raedt, Rudi; De Houwer, Jan

    2007-10-01

    To date, research on the predictive validity of implicit self-esteem for depressive relapse is very sparse. In the present study, we assessed implicit self-esteem using the Name Letter Preference Task and explicit self-esteem using the Rosenberg self-esteem scale in a group of currently depressed patients, formerly depressed individuals, and never depressed controls. In addition, we examined the predictive validity of explicit, implicit, and the interaction of explicit and implicit self-esteem in predicting future symptoms of depression in formerly depressed individuals and never depressed controls. The results showed that currently depressed individuals reported a lower explicit self-esteem as compared to formerly depressed individuals and never depressed controls. In line with previous research, all groups showed a positive implicit self-esteem not different from each other. Furthermore, after controlling for initial depressive symptomatology, implicit but not explicit self-esteem significantly predicted depressive symptoms at six months follow-up. Although implicit self-esteem assessed with the Name Letter Preference Test was not different between formerly depressed individuals and never depressed controls, the findings suggest it is an interesting variable in the study of vulnerability for depression relapse.

  5. Within-person Changes in Individual Symptoms of Depression Predict Subsequent Depressive Episodes in Adolescents: A Prospective Study

    Science.gov (United States)

    Kouros, Chrystyna D.; Morris, Matthew C.; Garber, Judy

    2015-01-01

    The current longitudinal study examined which individual symptoms of depression uniquely predicted a subsequent Major Depressive Episode (MDE) in adolescents, and whether these relations differed by sex. Adolescents (N=240) were first interviewed in grade 6 (M=11.86 years old; SD = 0.56; 54% female; 81.5% Caucasian) and then annually through grade 12 regarding their individual symptoms of depression as well as the occurrence of MDEs. Individual symptoms of depression were assessed with the Children’s Depression Rating Scale-Revised (CDRS-R) and depressive episodes were assessed with the Longitudinal Interval Follow-up Evaluation (LIFE). Results showed that within-person changes in sleep problems and low self-esteem/excessive guilt positively predicted an increased likelihood of an MDE for both boys and girls. Significant sex differences also were found. Within-person changes in anhedonia predicted an increased likelihood of a subsequent MDE among boys, whereas irritability predicted a decreased likelihood of a future MDE among boys, and concentration difficulties predicted a decreased likelihood of an MDE in girls. These results identified individual depressive symptoms that predicted subsequent depressive episodes in male and female adolescents, and may be used to guide the early detection, treatment, and prevention of depressive disorders in youth. PMID:26105209

  6. In-Hospital Risk Prediction for Post-stroke Depression. Development and Validation of the Post-stroke Depression Prediction Scale

    NARCIS (Netherlands)

    Thóra Hafsteinsdóttir; Roelof G.A. Ettema; Diederick Grobbee; Prof. Dr. Marieke J. Schuurmans; Janneke van Man-van Ginkel; Eline Lindeman

    2013-01-01

    Background and Purpose—The timely detection of post-stroke depression is complicated by a decreasing length of hospital stay. Therefore, the Post-stroke Depression Prediction Scale was developed and validated. The Post-stroke Depression Prediction Scale is a clinical prediction model for the early

  7. Clinical Significance of the Number of Depressive Symptoms in Major Depressive Disorder: Results from the CRESCEND Study.

    Science.gov (United States)

    Park, Seon-Cheol; Sakong, Jeongkyu; Koo, Bon Hoon; Kim, Jae-Min; Jun, Tae-Youn; Lee, Min-Soo; Kim, Jung-Bum; Yim, Hyeon-Woo; Park, Yong Chon

    2016-04-01

    Our study aimed to establish the relationship between the number of depressive symptoms and the clinical characteristics of major depressive disorder (MDD). This would enable us to predict the clinical significance of the number of depressive symptoms in MDD patients. Using data from the Clinical Research Center for Depression (CRESCEND) study in Korea, 853 patients with DSM-IV MDD were recruited. The baseline and clinical characteristics of groups with different numbers of depressive symptoms were compared using the χ(2) test for discrete variables and covariance (ANCOVA) for continuous variables. In addition, the scores of these groups on the measurement tools were compared by ANCOVA after adjusting the potential effects of confounding variables. After adjusting the effects of monthly income and history of depression, a larger number of depressive symptoms indicated higher overall severity of depression (F [4, 756] = 21.458, P depressive symptoms (F [4, 767] = 19.145, P depressive symptoms can be used as an index of greater illness burden in clinical psychiatry.

  8. Personality predicts recurrence of late-life depression.

    Science.gov (United States)

    Steunenberg, Bas; Beekman, Aartjan T F; Deeg, Dorly J H; Kerkhof, Ad J F M

    2010-06-01

    To examine the association of personality with recurrence of depression in later life. A subsample of 91 subjects from the Longitudinal Aging Study Amsterdam (LASA; baseline sample size n=3107; aged > or = 55 years) depressed at baseline, who had recovered in the course of three years (first follow-up cycle) was identified. 41 (45%) respondents experienced a recurrence during the subsequent six years. The influences of personality and late life stress (demographic factors, health and social factors) on recurrence were investigated prospectively. Recurrence of depression was associated with a high level of neuroticism and low level of mastery, residual depressive symptoms at time of recovery, female gender, pain complaints and feelings of loneliness. In multivariable analysis entering all predictors significant in single variable analysis, residual depressive symptoms and lack of mastery remained significantly associated with recurrence. In predicting the recurrence of depression in later life, the direct effects of personality remain important and comparable in strength with other late life stressors related to recurrence. Copyright 2009 Elsevier B.V. All rights reserved.

  9. Predicting dropout in adolescents receiving therapy for depression.

    Science.gov (United States)

    O'Keeffe, Sally; Martin, Peter; Goodyer, Ian M; Wilkinson, Paul; Consortium, Impact; Midgley, Nick

    2017-10-30

    Therapy dropout is a common occurrence, especially in adolescence. This study investigated whether dropout could be predicted from a range of child, family, and treatment factors in a sample of adolescents receiving therapy for depression. This study draws on data from 406 participants of the IMPACT study, a randomized controlled trial, investigating three types of therapy in the treatment of adolescent depression. Logistic regression was used to estimate the effects of predictors on the odds of dropout. Few pre-treatment predictors of dropout were found, with the only significant predictors being older age, antisocial behaviour, and lower scores of verbal intelligence. Missed sessions and poorer therapeutic alliance early in treatment also predicted dropout. Most child and family factors investigated were not significantly associated with dropout. There may be little about depressed adolescents' presentation prior to therapy starting that indicates their risk of dropout. However, within-treatment factors indicated that warning signs of dropout may be identifiable during the initial phase of therapy. Identifying and targeting early treatment indicators of dropout may provide possibilities for improving engagement. Clinical and methodological significance of this article: In the literature, a great deal of attention has been paid to child and family factors that predict therapy dropout, yet in this study, few pre-treatment characteristics were predictive of dropout. However, findings revealed possible warning signs of dropout in the early part of treatment, as poor therapeutic alliance and missed sessions were both found to be predictive of dropout. These findings call for therapists to be aware of such warning signs and clinical guidelines for managing cases at risk of dropout are warranted.

  10. In-hospital risk prediction for post-stroke depression: development and validation of the Post-stroke Depression Prediction Scale.

    Science.gov (United States)

    de Man-van Ginkel, Janneke M; Hafsteinsdóttir, Thóra B; Lindeman, Eline; Ettema, Roelof G A; Grobbee, Diederick E; Schuurmans, Marieke J

    2013-09-01

    The timely detection of post-stroke depression is complicated by a decreasing length of hospital stay. Therefore, the Post-stroke Depression Prediction Scale was developed and validated. The Post-stroke Depression Prediction Scale is a clinical prediction model for the early identification of stroke patients at increased risk for post-stroke depression. The study included 410 consecutive stroke patients who were able to communicate adequately. Predictors were collected within the first week after stroke. Between 6 to 8 weeks after stroke, major depressive disorder was diagnosed using the Composite International Diagnostic Interview. Multivariable logistic regression models were fitted. A bootstrap-backward selection process resulted in a reduced model. Performance of the model was expressed by discrimination, calibration, and accuracy. The model included a medical history of depression or other psychiatric disorders, hypertension, angina pectoris, and the Barthel Index item dressing. The model had acceptable discrimination, based on an area under the receiver operating characteristic curve of 0.78 (0.72-0.85), and calibration (P value of the U-statistic, 0.96). Transforming the model to an easy-to-use risk-assessment table, the lowest risk category (sum score, depression, which increased to 82% in the highest category (sum score, >21). The clinical prediction model enables clinicians to estimate the degree of the depression risk for an individual patient within the first week after stroke.

  11. Serum biomarkers predictive of depressive episodes in panic disorder.

    Science.gov (United States)

    Gottschalk, M G; Cooper, J D; Chan, M K; Bot, M; Penninx, B W J H; Bahn, S

    2016-02-01

    Panic disorder with or without comorbid agoraphobia (PD/PDA) has been linked to an increased risk to develop subsequent depressive episodes, yet the underlying pathophysiology of these disorders remains poorly understood. We aimed to identify a biomarker panel predictive for the development of a depressive disorder (major depressive disorder and/or dysthymia) within a 2-year-follow-up period. Blood serum concentrations of 165 analytes were evaluated in 120 PD/PDA patients without depressive disorder baseline diagnosis (6-month-recency) in the Netherlands Study of Depression and Anxiety (NESDA). We assessed the predictive performance of serum biomarkers, clinical, and self-report variables using receiver operating characteristics curves (ROC) and the area under the ROC curve (AUC). False-discovery-rate corrected logistic regression model selection of serum analytes and covariates identified an optimal predictive panel comprised of tetranectin and creatine kinase MB along with patient gender and scores from the Inventory of Depressive Symptomatology (IDS) rating scale. Combined, an AUC of 0.87 was reached for identifying the PD/PDA patients who developed a depressive disorder within 2 years (n = 44). The addition of biomarkers represented a significant (p = 0.010) improvement over using gender and IDS alone as predictors (AUC = 0.78). For the first time, we report on a combination of biological serum markers, clinical variables and self-report inventories that can detect PD/PDA patients at increased risk of developing subsequent depressive disorders with good predictive performance in a naturalistic cohort design. After an independent validation our proposed biomarkers could prove useful in the detection of at-risk PD/PDA patients, allowing for early therapeutic interventions and improving clinical outcome. Copyright © 2015 Elsevier Ltd. All rights reserved.

  12. Burnout does not help predict depression among French school teachers.

    Science.gov (United States)

    Bianchi, Renzo; Schonfeld, Irvin Sam; Laurent, Eric

    2015-11-01

    Burnout has been viewed as a phase in the development of depression. However, supportive research is scarce. We examined whether burnout predicted depression among French school teachers. We conducted a 2-wave, 21-month study involving 627 teachers (73% female) working in French primary and secondary schools. Burnout was assessed with the Maslach Burnout Inventory and depression with the 9-item depression module of the Patient Health Questionnaire (PHQ-9). The PHQ-9 grades depressive symptom severity and provides a provisional diagnosis of major depression. Depression was treated both as a continuous and categorical variable using linear and logistic regression analyses. We controlled for gender, age, and length of employment. Controlling for baseline depressive symptoms, linear regression analysis showed that burnout symptoms at time 1 (T1) did not predict depressive symptoms at time 2 (T2). Baseline depressive symptoms accounted for about 88% of the association between T1 burnout and T2 depressive symptoms. Only baseline depressive symptoms predicted depressive symptoms at follow-up. Similarly, logistic regression analysis revealed that burnout symptoms at T1 did not predict incident cases of major depression at T2 when depressive symptoms at T1 were included in the predictive model. Only baseline depressive symptoms predicted cases of major depression at follow-up. This study does not support the view that burnout is a phase in the development of depression. Assessing burnout symptoms in addition to "classical" depressive symptoms may not always improve our ability to predict future depression.

  13. What predicts depression in cardiac patients: sociodemographic factors, disease severity or theoretical vulnerabilities?

    Science.gov (United States)

    Doyle, F; McGee, H M; Conroy, R M; Delaney, M

    2011-05-01

    Depression is associated with increased cardiovascular risk in acute coronary syndrome (ACS) patients, but some argue that elevated depression is actually a marker of cardiovascular disease severity. Therefore, disease indices should better predict depression than established theoretical causes of depression (interpersonal life events, reinforcing events, cognitive distortions, type D personality). However, little theory-based research has been conducted in this area. In a cross-sectional design, ACS patients (n = 336) completed questionnaires assessing depression and psychosocial vulnerabilities. Nested logistic regression assessed the relative contribution of demographic or vulnerability factors, or disease indices or vulnerabilities to depression. In multivariate analysis, all vulnerabilities were independent significant predictors of depression (scoring above threshold on any scale, 48%). Demographic variables accounted for vulnerabilities accounting for significantly more (pseudo R² = 0.16, χ²(change) = 150.9, df = 4, p vulnerabilities increased the overall variance explained to 22% (pseudo R² = 0.22, χ² = 58.6, df = 4, p vulnerabilities predicted depression status better than did either demographic or disease indices. The presence of these proximal causes of depression suggests that depression in ACS patients is not simply a result of cardiovascular disease severity.

  14. Predictability of depression severity based on posterior alpha oscillations.

    Science.gov (United States)

    Jiang, H; Popov, T; Jylänki, P; Bi, K; Yao, Z; Lu, Q; Jensen, O; van Gerven, M A J

    2016-04-01

    We aimed to integrate neural data and an advanced machine learning technique to predict individual major depressive disorder (MDD) patient severity. MEG data was acquired from 22 MDD patients and 22 healthy controls (HC) resting awake with eyes closed. Individual power spectra were calculated by a Fourier transform. Sources were reconstructed via beamforming technique. Bayesian linear regression was applied to predict depression severity based on the spatial distribution of oscillatory power. In MDD patients, decreased theta (4-8 Hz) and alpha (8-14 Hz) power was observed in fronto-central and posterior areas respectively, whereas increased beta (14-30 Hz) power was observed in fronto-central regions. In particular, posterior alpha power was negatively related to depression severity. The Bayesian linear regression model showed significant depression severity prediction performance based on the spatial distribution of both alpha (r=0.68, p=0.0005) and beta power (r=0.56, p=0.007) respectively. Our findings point to a specific alteration of oscillatory brain activity in MDD patients during rest as characterized from MEG data in terms of spectral and spatial distribution. The proposed model yielded a quantitative and objective estimation for the depression severity, which in turn has a potential for diagnosis and monitoring of the recovery process. Copyright © 2016 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

  15. Development of a Clinical Forecasting Model to Predict Comorbid Depression Among Diabetes Patients and an Application in Depression Screening Policy Making.

    Science.gov (United States)

    Jin, Haomiao; Wu, Shinyi; Di Capua, Paul

    2015-09-03

    Depression is a common but often undiagnosed comorbid condition of people with diabetes. Mass screening can detect undiagnosed depression but may require significant resources and time. The objectives of this study were 1) to develop a clinical forecasting model that predicts comorbid depression among patients with diabetes and 2) to evaluate a model-based screening policy that saves resources and time by screening only patients considered as depressed by the clinical forecasting model. We trained and validated 4 machine learning models by using data from 2 safety-net clinical trials; we chose the one with the best overall predictive ability as the ultimate model. We compared model-based policy with alternative policies, including mass screening and partial screening, on the basis of depression history or diabetes severity. Logistic regression had the best overall predictive ability of the 4 models evaluated and was chosen as the ultimate forecasting model. Compared with mass screening, the model-based policy can save approximately 50% to 60% of provider resources and time but will miss identifying about 30% of patients with depression. Partial-screening policy based on depression history alone found only a low rate of depression. Two other heuristic-based partial screening policies identified depression at rates similar to those of the model-based policy but cost more in resources and time. The depression prediction model developed in this study has compelling predictive ability. By adopting the model-based depression screening policy, health care providers can use their resources and time better and increase their efficiency in managing their patients with depression.

  16. Cortical thickness predicts the first onset of major depression in adolescence.

    Science.gov (United States)

    Foland-Ross, Lara C; Sacchet, Matthew D; Prasad, Gautam; Gilbert, Brooke; Thompson, Paul M; Gotlib, Ian H

    2015-11-01

    Given the increasing prevalence of Major Depressive Disorder and recent advances in preventative treatments for this disorder, an important challenge in pediatric neuroimaging is the early identification of individuals at risk for depression. We examined whether machine learning can be used to predict the onset of depression at the individual level. Thirty-three never-disordered adolescents (10-15 years old) underwent structural MRI. Participants were followed for 5 years to monitor the emergence of clinically significant depressive symptoms. We used support vector machines (SVMs) to test whether baseline cortical thickness could reliably distinguish adolescents who develop depression from adolescents who remained free of any Axis I disorder. Accuracies from subsampled cross-validated classification were used to assess classifier performance. Baseline cortical thickness correctly predicted the future onset of depression with an overall accuracy of 70% (69% sensitivity, 70% specificity; p=0.021). Examination of SVM feature weights indicated that the right medial orbitofrontal, right precentral, left anterior cingulate, and bilateral insular cortex contributed most strongly to this classification. These findings indicate that cortical gray matter structure can predict the subsequent onset of depression. An important direction for future research is to elucidate mechanisms by which these anomalies in gray matter structure increase risk for developing this disorder. Copyright © 2015 Elsevier Ltd. All rights reserved.

  17. Low Social Status Markers: Do They Predict Depressive Symptoms in Adolescence?

    Science.gov (United States)

    Jackson, Benita; Goodman, Elizabeth

    2011-07-01

    Some markers of social disadvantage are associated robustly with depressive symptoms among adolescents: female gender and lower socioeconomic status (SES), respectively. Others are associated equivocally, notably Black v. White race/ethnicity. Few studies examine whether markers of social disadvantage by gender, SES, and race/ethnicity jointly predict self-reported depressive symptoms during adolescence; this was our goal. Secondary analyses were conducted on data from a socioeconomically diverse community-based cohort study of non-Hispanic Black and White adolescents (N = 1,263, 50.4% female). Multivariable general linear models tested if female gender, Black race/ethnicity, and lower SES (assessed by parent education and household income), and their interactions predicted greater depressive symptoms reported on the Center for Epidemiological Studies-Depression scale. Models adjusted for age and pubertal status. Univariate analyses revealed more depressive symptoms in females, Blacks, and participants with lower SES. Multivariable models showed females across both racial/ethnic groups reported greater depressive symptoms; Blacks demonstrated more depressive symptoms than did Whites but when SES was included this association disappeared. Exploratory analyses suggested Blacks gained less mental health benefit from increased SES. However there were no statistically significant interactions among gender, race/ethnicity, or SES. Taken together, we conclude that complex patterning among low social status domains within gender, race/ethnicity, and SES predicts depressive symptoms among adolescents.

  18. Predicting the future development of depression or PTSD after injury.

    Science.gov (United States)

    Richmond, Therese S; Ruzek, Josef; Ackerson, Theimann; Wiebe, Douglas J; Winston, Flaura; Kassam-Adams, Nancy

    2011-01-01

    The objective was to develop a predictive screener that when given soon after injury will accurately differentiate those who will later develop depression or posttraumatic stress disorder (PTSD) from those who will not. This study used a prospective, longitudinal cohort design. Subjects were randomly selected from all injured patients in the emergency department; the majority was assessed within 1 week postinjury with a short predictive screener, followed with in-person interviews after 3 and 6 months to determine the emergence of depression or PTSD within 6 months after injury. A total of 192 completed a risk factor survey at baseline; 165 were assessed over 6 months. Twenty-six subjects [15.8%, 95% confidence interval (CI) 10.2-21.3] were diagnosed with depression, four (2.4%, 95% CI 0.7-5.9) with PTSD and one with both. The final eight-item predictive screener was derived; optimal cutoff scores were ≥2 (of 4) depression risk items and ≥3 (of 5) PTSD risk items. The final screener demonstrated excellent sensitivity and moderate specificity both for clinically significant symptoms and for the diagnoses of depression and PTSD. A simple screener that can help identify those patients at highest risk for future development of PTSD and depression postinjury allows the judicious allocation of costly mental health resources. Copyright © 2011 Elsevier Inc. All rights reserved.

  19. Contribution of Self-Esteem and Collective Self-Esteem in Predicting Depression

    Directory of Open Access Journals (Sweden)

    Shraddha Sharma

    2013-04-01

    Full Text Available This research was conducted with the purpose to examine the relationship among self-esteem, collective self-esteem and depression. Anotherobjective was to study the contribution of self-esteem and collective self-esteem in predicting depression. Beck Depression Inventory (1996,Rosenberg Self-Esteem Inventory (1985 and Collective Self-Esteem Inventory by Luhtanen and Crocker (1992 were used to measuredepression, self-esteem and collective self-esteem respectively. Study was carried out on 200 subjects in the age range of 17-23 years,selected from Agra city. The results of the research showed that there was significant positive relationship between self-esteem and collectiveself-esteem (p < .01, significant negative relationship between self-esteem and depression (p < .01. It was also found that collective self-esteemwas a significant predictor of depression. This research implies that an optimum level of self-esteem and high collective self-esteem not onlyprevents depression but also enhances the positive aspects of personality.

  20. Sex-dependent independent prediction of incident diabetes by depressive symptoms.

    Science.gov (United States)

    Akbaş-Şimşek, Tuğba; Onat, Altan; Kaya, Adnan; Tusun, Eyyup; Yüksel, Hüsniye; Can, Günay

    2017-12-01

    To study the predictive value of depressive symptoms (DeprSs) in a general population of Turkey for type 2 diabetes. Responses to three questions served to assess the sense of depression. Cox regression analyses were used regarding risk estimates for incident diabetes, after exclusion of prevalent cases of diabetes. Mean follow-up consisted of 5.15 (±1.4) years. Depressive symptoms were present at baseline in 16.2% of the whole study sample, threefold in women than men. Reduced physical activity grade was the only significant covariate at baseline in men, while younger age and lower blood pressure were significantly different in women compared with those without DeprS. In men, presence of DeprS predicted incident diabetes at a significant 2.58-fold relative risk (95% confidence interval 1.03; 6.44), after adjustment for age, systolic blood pressure, and antidepressant drug usage. When further covariates were added, waist circumference remained the only significant predictor, while DepS was attenuated to a relative risk of 2.12 (95% confidence interval 0.83; 5.40). DeprS was not associated with diabetes in women, whereas antidepressant drug usage only tended to be positively associated. Gender difference existed in the relationship between DeprS and incident diabetes. DeprS predicted subsequent development of diabetes in men alone, not in women. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

  1. Development of a Clinical Forecasting Model to Predict Comorbid Depression Among Diabetes Patients and an Application in Depression Screening Policy Making

    OpenAIRE

    Jin, Haomiao; Wu, Shinyi; Di Capua, Paul

    2015-01-01

    Introduction Depression is a common but often undiagnosed comorbid condition of people with diabetes. Mass screening can detect undiagnosed depression but may require significant resources and time. The objectives of this study were 1) to develop a clinical forecasting model that predicts comorbid depression among patients with diabetes and 2) to evaluate a model-based screening policy that saves resources and time by screening only patients considered as depressed by the clinical forecasting...

  2. Induced optimism as mental rehearsal to decrease depressive predictive certainty.

    Science.gov (United States)

    Miranda, Regina; Weierich, Mariann; Khait, Valerie; Jurska, Justyna; Andersen, Susan M

    2017-03-01

    The present study examined whether practice in making optimistic future-event predictions would result in change in the hopelessness-related cognitions that characterize depression. Individuals (N = 170) with low, mild, and moderate-to-severe depressive symptoms were randomly assigned to a condition in which they practiced making optimistic future-event predictions or to a control condition in which they viewed the same stimuli but practiced determining whether a given phrase contained an adjective. Overall, individuals in the induced optimism condition showed increases in optimistic predictions, relative to the control condition, as a result of practice, but only individuals with moderate-to-severe symptoms of depression who practiced making optimistic future-event predictions showed decreases in depressive predictive certainty, relative to the control condition. In addition, they showed gains in efficiency in making optimistic predictions over the practice blocks, as assessed by response time. There was no difference in depressed mood by practice condition. Mental rehearsal might be one way of changing the hopelessness-related cognitions that characterize depression. Copyright © 2016 Elsevier Ltd. All rights reserved.

  3. The predictive value of somatic and cognitive depressive symptoms for cytokine changes in patients with major depression

    Directory of Open Access Journals (Sweden)

    Dannehl K

    2014-06-01

    significantly predict an increase in TNF-alpha in women with major depression (P<0.05 but not in men. Exploratory ­analyses ­indicated that the stability of TNF-alpha and IL-6 (as indicated by intraclass correlation ­coefficients over 4 weeks was high for TNF-alpha but lower for IL-6.Conclusion: The present study demonstrated that a history of somatoform symptoms may be important for predicting future changes in TNF-alpha in women with major depression. Keywords: interleukin-6, tumor necrosis factor-alpha, symptom dimension

  4. Emotion regulation predicts symptoms of depression over five years.

    Science.gov (United States)

    Berking, Matthias; Wirtz, Carolin M; Svaldi, Jennifer; Hofmann, Stefan G

    2014-06-01

    Deficits in emotion regulation have been identified as an important risk and maintaining factor for depression. The aim of this study was to examine the long-term effects of emotion regulation on symptoms of depression. Moreover, we investigated which specific emotion regulation skills were associated with subsequent symptoms of depression. Participants were 116 individuals (78% women, average age 35.2 years) who registered for an online-based assessment of depression and its risk-factors and reported at least some symptoms of depression. Successful application of emotion regulation skills and depressive symptom severity were assessed twice over a 5-year period. We utilized cross-lagged panel analyses to assess whether successful skills application would be negatively associated with subsequent depressive symptom severity. Cross-lagged panel analyses identified successful skills application as a significant predictor for depressive symptom severity even when controlling for the effects of initial symptoms of depression. A comparison of the effect sizes for different emotion regulation skills on subsequent depressive symptoms suggests that most of the skills included have similar predictive value. These findings provide preliminary evidence for the hypotheses that deficits in emotion regulation may contribute to the development of depression and that interventions systematically enhancing adaptive emotion regulation skills may help prevent and treat depressive symptoms. Copyright © 2014 Elsevier Ltd. All rights reserved.

  5. Depression increasingly predicts mortality in the course of congestive heart failure.

    Science.gov (United States)

    Jünger, Jana; Schellberg, Dieter; Müller-Tasch, Thomas; Raupp, Georg; Zugck, Christian; Haunstetter, Armin; Zipfel, Stephan; Herzog, Wolfgang; Haass, Markus

    2005-03-02

    Congestive heart failure (CHF) is frequently associated with depression. However, the impact of depression on prognosis has not yet been sufficiently established. To prospectively investigate the influence of depression on mortality in patients with CHF. In 209 CHF patients depression was assessed by the Hospital Anxiety and Depression Scale (HADS-D). Compared to survivors (n=164), non-survivors (n=45) were characterized by a higher New York Heart Association (NYHA) functional class (2.8+/-0.7 vs. 2.5+/-0.6), and a lower left ventricular ejection fraction (LVEF) (18+/-8 vs. 23+/-10%) and peakVO(2) (13.1+/-4.5 vs. 15.4+/-5.2 ml/kg/min) at baseline. Furthermore, non-survivors had a higher depression score (7.5+/-4.0 vs. 6.1+/-4.3) (all P<0.05). After a mean follow-up of 24.8 months the depression score was identified as a significant indicator of mortality (P<0.01). In multivariate analysis the depression score predicted mortality independent from NYHA functional class, LVEF and peakVO(2). Combination of depression score, LVEF and peakVO(2) allowed for a better risk stratification than combination of LVEF and peakVO(2) alone. The risk ratio for mortality in patients with an elevated depression score (i.e. above the median) rose over time to 8.2 after 30 months (CI 2.62-25.84). The depression score predicts mortality independent of somatic parameters in CHF patients not treated for depression. Its prognostic power increases over time and should, thus, be accounted for in risk stratification and therapy.

  6. Predictive value of brain perfusion SPECT for rTMS response in pharmacoresistant depression

    Energy Technology Data Exchange (ETDEWEB)

    Richieri, Raphaelle; Lancon, Christophe [Sainte-Marguerite University Hospital, Department of Psychiatry, Marseille (France); La Timone University, EA 3279 - Self-perceived Health Assessment Research Unit, School of Medicine, Marseille (France); Boyer, Laurent [La Timone University, EA 3279 - Self-perceived Health Assessment Research Unit, School of Medicine, Marseille (France); La Timone University Hospital, Assistance Publique - Hopitaux de Marseille, Department of Public Health, Marseille (France); Farisse, Jean [Sainte-Marguerite University Hospital, Department of Psychiatry, Marseille (France); Colavolpe, Cecile; Mundler, Olivier [La Timone University Hospital, Assistance Publique - Hopitaux de Marseille, Service Central de Biophysique et Medecine Nucleaire, Marseille (France); Universite de la Mediterranee, Centre Europeen de Recherche en Imagerie Medicale (CERIMED), Marseille (France); Guedj, Eric [La Timone University Hospital, Assistance Publique - Hopitaux de Marseille, Service Central de Biophysique et Medecine Nucleaire, Marseille (France); Universite de la Mediterranee, Centre Europeen de Recherche en Imagerie Medicale (CERIMED), Marseille (France); Hopital de la Timone, Service Central de Biophysique et de Medecine Nucleaire, Marseille Cedex 5 (France)

    2011-09-15

    The aim of this study was to determine the predictive value of whole-brain voxel-based regional cerebral blood flow (rCBF) for repetitive transcranial magnetic stimulation (rTMS) response in patients with pharmacoresistant depression. Thirty-three right-handed patients who met DSM-IV criteria for major depressive disorder (unipolar or bipolar depression) were included before rTMS. rTMS response was defined as at least 50% reduction in the baseline Beck Depression Inventory scores. The predictive value of {sup 99m}Tc-ethyl cysteinate dimer (ECD) single photon emission computed tomography (SPECT) for rTMS response was studied before treatment by comparing rTMS responders to non-responders at voxel level using Statistical Parametric Mapping (SPM) (p < 0.001, uncorrected). Of the patients, 18 (54.5%) were responders to rTMS and 15 were non-responders (45.5%). There were no statistically significant differences in demographic and clinical characteristics (p > 0.10). In comparison to responders, non-responders showed significant hypoperfusions (p < 0.001, uncorrected) in the left medial and bilateral superior frontal cortices (BA10), the left uncus/parahippocampal cortex (BA20/BA35) and the right thalamus. The area under the curve for the combination of SPECT clusters to predict rTMS response was 0.89 (p < 0.001). Sensitivity, specificity, positive predictive value and negative predictive value for the combination of clusters were: 94, 73, 81 and 92%, respectively. This study shows that, in pharmacoresistant depression, pretreatment rCBF of specific brain regions is a strong predictor for response to rTMS in patients with homogeneous demographic/clinical features. (orig.)

  7. The validity of dysthymia to predict clinical depressive symptoms as measured by the Hamilton Depression Scale at the 5-year follow-up of patients with first episode depression.

    Science.gov (United States)

    Bech, Per; Kessing, Lars Vedel; Bukh, Jens Drachmann

    2016-11-01

    In long-term follow-up studies on depression, the Eysenck Neuroticism Scale (ENS) at the score level of dysthymia has been found to be valid at predicting poor outcome. The ENS dysthymia level was compared with the Beck Depression Inventory (BDI) level to predict the prevalence of depressive symptoms at the 5-year follow-up of patients initially diagnosed with first episode depression using the Hamilton Depression Scale (HAM-D) to express depressive symptoms. A total of 301 in- or outpatients aged 18-70 years with a recent single depressive episode were assessed by ENS, BDI, and HAM-D from 2005-2007. At 5-year follow-up from 2011-2013, the participants were re-assessed by HAM-D. The HAM-D was used to measure depressive symptoms at the 5-year follow-up. The Mokken analysis was used to indicate scalability of the BDI and ENS. A total of 185 participants were available for the psychometric analysis of the ESN and BDI, and the scalability was found acceptable. In total, 99 patients were available for the predictive analysis. Both the ENS and the BDI were significantly associated with depressive symptoms (HAM-D17 ≥ 8) at the 5-year follow-up (p Dysthymia as measured by the two self-rating scales ENS and BDI can be considered part of a 'double depression' in patients with first episode depression, implying an existence of depressive symptoms at the 5-year follow-up. Evaluation of dysthymia or neuroticism is important to perform, even in patients with first episode depression, in order to identify 'double depression'.

  8. A clinical prediction rule for detecting major depressive disorder in primary care: the PREDICT-NL study.

    Science.gov (United States)

    Zuithoff, Nicolaas P A; Vergouwe, Yvonne; King, Michael; Nazareth, Irwin; Hak, Eelko; Moons, Karel G M; Geerlings, Mirjam I

    2009-08-01

    Major depressive disorder often remains unrecognized in primary care. Development of a clinical prediction rule using easily obtainable predictors for major depressive disorder in primary care patients. A total of 1046 subjects, aged 18-65 years, were included from seven large general practices in the center of The Netherlands. All subjects were recruited in the general practice waiting room, irrespective of their presenting complaint. Major depressive disorder according to Diagnostic and Statistical Manual of Mental Disorders, Fourth Text Revision edition criteria was assessed with the Composite International Diagnostic Interview. Candidate predictors were gender, age, educational level, being single, number of presented complaints, presence of non-somatic complaints, whether a diagnosis was assigned, consultation rate in past 12 months, presentation of depressive complaints or prescription of antidepressants in past 12 months, number of life events in past 6 months and any history of depression. The first multivariable logistic regression model including only predictors that require no confronting depression-related questions had a reasonable degree of discrimination (area under the receiver operating characteristic curve or concordance-statistic (c-statistic) = 0.71; 95% Confidence Interval (CI): 0.67-0.76). Addition of three simple though more depression-related predictors, number of life events and history of depression, significantly increased the c-statistic to 0.80 (95% CI: 0.76-0.83). After transforming this second model to an easily to use risk score, the lowest risk category (sum score depression, which increased to 49% in the highest category (sum score > or = 30). A clinical prediction rule allows GPs to identify patients-irrespective of their complaints-in whom diagnostic workup for major depressive disorder is indicated.

  9. Predictive value of brain perfusion SPECT for rTMS response in pharmacoresistant depression

    International Nuclear Information System (INIS)

    Richieri, Raphaelle; Lancon, Christophe; Boyer, Laurent; Farisse, Jean; Colavolpe, Cecile; Mundler, Olivier; Guedj, Eric

    2011-01-01

    The aim of this study was to determine the predictive value of whole-brain voxel-based regional cerebral blood flow (rCBF) for repetitive transcranial magnetic stimulation (rTMS) response in patients with pharmacoresistant depression. Thirty-three right-handed patients who met DSM-IV criteria for major depressive disorder (unipolar or bipolar depression) were included before rTMS. rTMS response was defined as at least 50% reduction in the baseline Beck Depression Inventory scores. The predictive value of 99m Tc-ethyl cysteinate dimer (ECD) single photon emission computed tomography (SPECT) for rTMS response was studied before treatment by comparing rTMS responders to non-responders at voxel level using Statistical Parametric Mapping (SPM) (p 0.10). In comparison to responders, non-responders showed significant hypoperfusions (p < 0.001, uncorrected) in the left medial and bilateral superior frontal cortices (BA10), the left uncus/parahippocampal cortex (BA20/BA35) and the right thalamus. The area under the curve for the combination of SPECT clusters to predict rTMS response was 0.89 (p < 0.001). Sensitivity, specificity, positive predictive value and negative predictive value for the combination of clusters were: 94, 73, 81 and 92%, respectively. This study shows that, in pharmacoresistant depression, pretreatment rCBF of specific brain regions is a strong predictor for response to rTMS in patients with homogeneous demographic/clinical features. (orig.)

  10. When friends make you blue: the role of friendship contingent self-esteem in predicting self-esteem and depressive symptoms.

    Science.gov (United States)

    Cambron, M Janelle; Acitelli, Linda K; Steinberg, Lynne

    2010-03-01

    This research examines the role of friendship contingent self-esteem (FCSE), or self-esteem that is dependent on the quality of one's friendships, in predicting depressive symptoms. In Study 1, the authors developed a measure of FCSE. Both FCSE and others' approval correlated with self-esteem and depressive symptoms, but when entered simultaneously in a regression equation, only FCSE significantly predicted self-esteem and depressive symptoms. Study 2 showed that dependency and close friendship competence predicted depressive symptoms only for those high in FCSE. In Study 3, a diary study, FCSE predicted self-esteem instability. Self-esteem instability, in turn, predicted depressive symptoms. Furthermore, a three-way interaction of rumination, FCSE, and the valence of the event predicted momentary self-esteem. Findings are discussed with regard to the importance of considering FCSE when investigating interpersonal risk for depression.

  11. Self-Predictions and Depressive Realism in Future Life Events.

    Science.gov (United States)

    Walter, Todd J.; And Others

    Research has demonstrated that depressed people lack the optimistic bias evidenced by nondepressed persons and that the former may be more realistic in predicting the outcome of future events (depressive realism hypothesis). This study assesses the depressive realism hypothesis by comparing the accuracy of depressed and nondepressed people's…

  12. Predictive Factors of Anxiety and Depression in Patients with Acute Coronary Syndrome.

    Science.gov (United States)

    Altino, Denise Meira; Nogueira-Martins, Luiz Antônio; de Barros, Alba Lucia Bottura Leite; Lopes, Juliana de Lima

    2017-12-01

    To identify the predictive factors of anxiety and depression in patients with acute coronary syndrome. Cross-sectional and retrospective study conducted with 120 patients hospitalized with acute coronary syndrome. Factors interfering with anxiety and depression were assessed. Anxiety was related to sex, stress, years of education, and depression, while depression was related to sex, diabetes mellitus, obesity, years of education, and trait-anxiety. Obesity and anxiety were considered predictive factors for depression, while depression and fewer years of education were considered predictive factors for anxiety. Copyright © 2017. Published by Elsevier Inc.

  13. "Engage" therapy: Prediction of change of late-life major depression.

    Science.gov (United States)

    Alexopoulos, George S; O'Neil, Robert; Banerjee, Samprit; Raue, Patrick J; Victoria, Lindsay W; Bress, Jennifer N; Pollari, Cristina; Arean, Patricia A

    2017-10-15

    Engage grew out of the need for streamlined psychotherapies that can be accurately used by community therapists in late-life depression. Engage was based on the view that dysfunction of reward networks is the principal mechanism mediating depressive symptoms. Accordingly, Engage uses "reward exposure" (exposure to meaningful activities) and assumes that repeated activation of reward networks will normalize these systems. This study examined whether change in a behavioral activation scale, an index of reward system function, predicts change in depressive symptomatology. The participants (N = 48) were older adults with major depression treated with 9 weekly sessions of Engage and assessed 27 weeks after treatment. Depression was assessed with the 24-item Hamilton Depression Rating Scale (HAM-D) and behavioral activation with the four subscales of Behavioral Activation for Depression Scale (activation, avoidance/rumination, work impairment, social impairment) at baseline, 6 weeks (mid-treatment), 9 weeks (end of treatment), and 36 weeks. Change only in the Activation subscale during successive periods of assessment predicted depression severity (HAM-D) at the end of each period (F 1, 47 = 21.05, psocial support. Change in behavioral activation predicts improvement of depressive symptoms and signs in depressed older adults treated with Engage. Copyright © 2017. Published by Elsevier B.V.

  14. A New Prediction Model for Evaluating Treatment-Resistant Depression.

    Science.gov (United States)

    Kautzky, Alexander; Baldinger-Melich, Pia; Kranz, Georg S; Vanicek, Thomas; Souery, Daniel; Montgomery, Stuart; Mendlewicz, Julien; Zohar, Joseph; Serretti, Alessandro; Lanzenberger, Rupert; Kasper, Siegfried

    2017-02-01

    Despite a broad arsenal of antidepressants, about a third of patients suffering from major depressive disorder (MDD) do not respond sufficiently to adequate treatment. Using the data pool of the Group for the Study of Resistant Depression and machine learning, we intended to draw new insights featuring 48 clinical, sociodemographic, and psychosocial predictors for treatment outcome. Patients were enrolled starting from January 2000 and diagnosed according to DSM-IV. Treatment-resistant depression (TRD) was defined by a 17-item Hamilton Depression Rating Scale (HDRS) score ≥ 17 after at least 2 antidepressant trials of adequate dosage and length. Remission was defined by an HDRS score depressive episode, age at first antidepressant treatment, response to first antidepressant treatment, severity, suicidality, melancholia, number of lifetime depressive episodes, patients' admittance type, education, occupation, and comorbid diabetes, panic, and thyroid disorder. While single predictors could not reach a prediction accuracy much different from random guessing, by combining all predictors, we could detect resistance with an accuracy of 0.737 and remission with an accuracy of 0.850. Consequently, 65.5% of predictions for TRD and 77.7% for remission can be expected to be accurate. Using machine learning algorithms, we could demonstrate success rates of 0.737 for predicting TRD and 0.850 for predicting remission, surpassing predictive capabilities of clinicians. Our results strengthen data mining and suggest the benefit of focus on interaction-based statistics. Considering that all predictors can easily be obtained in a clinical setting, we hope that our model can be tested by other research groups. © Copyright 2017 Physicians Postgraduate Press, Inc.

  15. Role of Alexithymia, Anxiety, and Depression in Predicting Self-Efficacy in Academic Students

    Science.gov (United States)

    2017-01-01

    Objective. Little research is available on the predictive factors of self-efficacy in college students. The aim of the present study is to examine the role of alexithymia, anxiety, and depression in predicting self-efficacy in academic students. Design. In a cross-sectional study, a total of 133 students at Babol University of Medical Sciences (Medicine, Dentistry, and Paramedicine) participated in the study between 2014 and 2015. All participants completed the Toronto Alexithymia Scale (TAS-20), College Academic Self-Efficacy Scale (CASES), and 14 items on anxiety and depression derived from the 28 items of the General Health Questionnaire (28-GHQ). Results. Pearson correlation coefficients revealed negative significant relationships between alexithymia and the three subscales with student self-efficacy. There was no significant correlation between anxiety/depression symptoms and student self-efficacy. A backward multiple regression analysis revealed that alexithymia was a negative significant predictor of self-efficacy in academic students (B = −0.512, P students. Multiple backward logistic analysis regression revealed that number of passed semesters, gender, mother's education, father's education, and doctoral level did not accurately predict alexithymia in college students. Conclusion. As alexithymia is prevalent in college students and affects self-efficacy and academic functioning, we suggest it should be routinely evaluated by mental physicians at universities. PMID:28154839

  16. Role of Alexithymia, Anxiety, and Depression in Predicting Self-Efficacy in Academic Students.

    Science.gov (United States)

    Faramarzi, Mahbobeh; Khafri, Soraya

    2017-01-01

    Objective . Little research is available on the predictive factors of self-efficacy in college students. The aim of the present study is to examine the role of alexithymia, anxiety, and depression in predicting self-efficacy in academic students. Design . In a cross-sectional study, a total of 133 students at Babol University of Medical Sciences (Medicine, Dentistry, and Paramedicine) participated in the study between 2014 and 2015. All participants completed the Toronto Alexithymia Scale (TAS-20), College Academic Self-Efficacy Scale (CASES), and 14 items on anxiety and depression derived from the 28 items of the General Health Questionnaire (28-GHQ). Results . Pearson correlation coefficients revealed negative significant relationships between alexithymia and the three subscales with student self-efficacy. There was no significant correlation between anxiety/depression symptoms and student self-efficacy. A backward multiple regression analysis revealed that alexithymia was a negative significant predictor of self-efficacy in academic students ( B = -0.512, P academic functioning, we suggest it should be routinely evaluated by mental physicians at universities.

  17. Predictive Utility of Personality Disorder in Depression: Comparison of Outcomes and Taxonomic Approach.

    Science.gov (United States)

    Newton-Howes, Giles; Mulder, Roger; Ellis, Pete M; Boden, Joseph M; Joyce, Peter

    2017-09-19

    There is debate around the best model for diagnosing personality disorder, both in terms of its relationship to the empirical data and clinical utility. Four randomized controlled trials examining various treatments for depression were analyzed at an individual patient level. Three different approaches to the diagnosis of personality disorder were analyzed in these patients. A total of 578 depressed patients were included in the analysis. Personality disorder, however measured, was of little predictive utility in the short term but added significantly to predictive modelling of medium-term outcomes, accounting for more than twice as much of the variance in social functioning outcome as depression psychopathology. Personality disorder assessment is of predictive utility with longer timeframes and when considering social outcomes as opposed to symptom counts. This utility is sufficiently great that there appears to be value in assessing personality; however, no particular approach outperforms any other.

  18. Does Personality Predict Depression and Use of an Internet-Based Intervention for Depression among Adolescents?

    Directory of Open Access Journals (Sweden)

    Hans Christian B. Vangberg

    2012-01-01

    Full Text Available Background. Focus upon depression and prevention of its occurrence among adolescents is increasing. Novel ways of dealing with this serious problem have become available especially by means of internet-based prevention and treatment programs of depression and anxiety. The use of Internet-based intervention programs among adolescents has revealed some difficulties in implementation that need to be further elucidated. The aim of this study is to investigate the association between personality and adolescent depression and the characteristics of users of an Internet-based intervention program. Method. The Junior Temperament and Character Inventory (JTCI, the General Self-Efficacy scale (GSE and the Centre for Epidemiological Studies-Depression scale (CES-D have been administered to a sample (=1234 of Norwegian senior high-school students. Results. Multiple regression analysis revealed associations between depression and gender, and several JTCI domains and facets. In line with previous findings in adults, high Harm Avoidance and low Self-Directedness emerged as the strongest predictors of adolescent depressive symptoms. Further, in logistic regression analysis with the covariates JTCI, GSE and CES-D, the only significant variables predicting use/non-use were the CES-D and the temperament domain Reward Dependence. Conclusion. The results in this study revealed level of depressive symptoms as the strongest predictor of the use of the Internet based intervention and that personality might provide useful information about the users.

  19. Frequency of reporting and predictive factors for anxiety and depression in patients with advanced cancer.

    Science.gov (United States)

    Salvo, N; Zeng, L; Zhang, L; Leung, M; Khan, L; Presutti, R; Nguyen, J; Holden, L; Culleton, S; Chow, E

    2012-03-01

    The prevalence of anxiety and depression in patients with advanced cancer has been reported to be on average 25% and to significantly affect patients' quality of life. Despite high prevalence rates, these disorders remain underdiagnosed and undertreated. The purpose of our study was to examine the self-report rates of anxiety and depression with the Edmonton Symptom Assessment System (ESAS) and to assess the predictive factors for these reports in cancer patients with metastatic disease. Consecutive patients who attended the Rapid Response Radiotherapy Program (RRRP) completed the ESAS as well as baseline demographic information. Ordinal logistic regression analysis was used to determine factors that significantly predicted anxiety and/or depression. Pearson χ(2) was used to test goodness-of-fit for categorical variables and established whether or not an observed frequency distribution differed from a predicted frequency distribution. A univariate analysis was conducted first and those variables with a P valueanalysis. A score test was used to test the proportional odds assumption. In total, 1439 patients seen in the RRRP between January 1999 and October 2009 completed ESAS questionnaires. Fifty-five per cent of patients reported at least mild symptoms of depression and 65% reported at least mild anxiety. In the univariate analysis, patients who were female, who had a lower performance status score, or primary lung cancer were more likely to report depressed and anxious feelings. Primary prostate cancer patients were significantly less likely to report depression and anxiety. Patients referred for spinal cord compression were significantly less depressed. The multivariate models showed that younger patients were significantly more anxious than older patients and females reported more anxiety than males. Patients who reported higher feelings of nausea, tiredness, drowsiness, dyspnoea, and worse appetite and overall well-being on the ESAS tool were more likely to

  20. Depressive symptoms predict head and neck cancer survival: Examining plausible behavioral and biological pathways.

    Science.gov (United States)

    Zimmaro, Lauren A; Sephton, Sandra E; Siwik, Chelsea J; Phillips, Kala M; Rebholz, Whitney N; Kraemer, Helena C; Giese-Davis, Janine; Wilson, Liz; Bumpous, Jeffrey M; Cash, Elizabeth D

    2018-03-01

    Head and neck cancers are associated with high rates of depression, which may increase the risk for poorer immediate and long-term outcomes. Here it was hypothesized that greater depressive symptoms would predict earlier mortality, and behavioral (treatment interruption) and biological (treatment response) mediators were examined. Patients (n = 134) reported depressive symptomatology at treatment planning. Clinical data were reviewed at the 2-year follow-up. Greater depressive symptoms were associated with significantly shorter survival (hazard ratio, 0.868; 95% confidence interval [CI], 0.819-0.921; P ratio, 0.865; 95% CI, 0.774-0.966; P = .010), and poorer treatment response (odds ratio, 0.879; 95% CI, 0.803-0.963; P = .005). The poorer treatment response partially explained the depression-survival relation. Other known prognostic indicators did not challenge these results. Depressive symptoms at the time of treatment planning predict overall 2-year mortality. Effects are partly influenced by the treatment response. Depression screening and intervention may be beneficial. Future studies should examine parallel biological pathways linking depression to cancer survival, including endocrine disruption and inflammation. Cancer 2018;124:1053-60. © 2018 American Cancer Society. © 2018 American Cancer Society.

  1. Predicting depressive symptoms in unemployed

    Directory of Open Access Journals (Sweden)

    Marić Zorica

    2005-01-01

    Full Text Available In this study we review recent research literature focused on relationship between unemployment and depression, and theories emphasizing the mechanisms by which unemployment may contribute to increased levels of depression. Our research investigated depressive symptomatology and its predictors among unemployed people (N = 453 varying in length of unemployment. Results showed that self - mastery, self - esteem, financial strain, gender, intensity of job - seek behavior and length on unemployment were significant predictors of depressive symptoms. Results are discussed in light of current theories of unemployment and mental health and recommendations are made for practice.

  2. Emotion regulation and Residual Depression Predict Psychosocial Functioning in Bipolar Disorder: Preliminary Study

    OpenAIRE

    Becerra, Rodrigo; Cruise, Kate; Harms, Craig; Allan, Alfred; Bassett, Darryl; Hood, Sean; Murray, Greg

    2015-01-01

    This study explores the predictive value of various clinical, neuropsychological, functional, and emotion regulation processes for recovery in Bipolar Disorder. Clinical and demographic information was collected for 27 euthymic or residually depressed BD participants. Seventy one percent of the sample reported some degree of impairment in psychosocial functioning. Both residual depression and problems with emotion regulation were identified as significant predictors of poor psychosocial funct...

  3. Prognostic significance of social network, social support and loneliness for course of major depressive disorder in adulthood and old age.

    Science.gov (United States)

    van den Brink, R H S; Schutter, N; Hanssen, D J C; Elzinga, B M; Rabeling-Keus, I M; Stek, M L; Comijs, H C; Penninx, B W J H; Oude Voshaar, R C

    2018-06-01

    Poor recovery from depressive disorder has been shown to be related to low perceived social support and loneliness, but not to social network size or frequency of social interactions. Some studies suggest that the significance of social relationships for depression course may be greater in younger than in older patients, and may differ between men and women. None of the studies examined to what extent the different aspects of social relationships have unique or overlapping predictive values for depression course. It is the aim of the present study to examine the differential predictive values of social network characteristics, social support and loneliness for the course of depressive disorder, and to test whether these predictive associations are modified by gender or age. Two naturalistic cohort studies with the same design and overlapping instruments were combined to obtain a study sample of 1474 patients with a major depressive disorder, of whom 1181 (80.1%) could be studied over a 2-year period. Social relational variables were assessed at baseline. Two aspects of depression course were studied: remission at 2-year follow-up and change in depression severity over the follow-up period. By means of logistic regression and random coefficient analysis, the individual and combined predictive values of the different social relational variables for depression course were studied, controlling for potential confounders and checking for effect modification by age (below 60 v. 60 years or older) and gender. Multiple aspects of the social network, social support and loneliness were related to depression course, independent of potential confounders - including depression severity - but when combined, their predictive values were found to overlap to a large extent. Only the social network characteristic of living in a larger household, the social support characteristic of few negative experiences with the support from a partner or close friend, and limited feelings of

  4. Cross-trial prediction of treatment outcome in depression: a machine learning approach.

    Science.gov (United States)

    Chekroud, Adam Mourad; Zotti, Ryan Joseph; Shehzad, Zarrar; Gueorguieva, Ralitza; Johnson, Marcia K; Trivedi, Madhukar H; Cannon, Tyrone D; Krystal, John Harrison; Corlett, Philip Robert

    2016-03-01

    Antidepressant treatment efficacy is low, but might be improved by matching patients to interventions. At present, clinicians have no empirically validated mechanisms to assess whether a patient with depression will respond to a specific antidepressant. We aimed to develop an algorithm to assess whether patients will achieve symptomatic remission from a 12-week course of citalopram. We used patient-reported data from patients with depression (n=4041, with 1949 completers) from level 1 of the Sequenced Treatment Alternatives to Relieve Depression (STAR*D; ClinicalTrials.gov, number NCT00021528) to identify variables that were most predictive of treatment outcome, and used these variables to train a machine-learning model to predict clinical remission. We externally validated the model in the escitalopram treatment group (n=151) of an independent clinical trial (Combining Medications to Enhance Depression Outcomes [COMED]; ClinicalTrials.gov, number NCT00590863). We identified 25 variables that were most predictive of treatment outcome from 164 patient-reportable variables, and used these to train the model. The model was internally cross-validated, and predicted outcomes in the STAR*D cohort with accuracy significantly above chance (64·6% [SD 3·2]; p<0·0001). The model was externally validated in the escitalopram treatment group (N=151) of COMED (accuracy 59·6%, p=0.043). The model also performed significantly above chance in a combined escitalopram-buproprion treatment group in COMED (n=134; accuracy 59·7%, p=0·023), but not in a combined venlafaxine-mirtazapine group (n=140; accuracy 51·4%, p=0·53), suggesting specificity of the model to underlying mechanisms. Building statistical models by mining existing clinical trial data can enable prospective identification of patients who are likely to respond to a specific antidepressant. Yale University. Copyright © 2016 Elsevier Ltd. All rights reserved.

  5. Role of Alexithymia, Anxiety, and Depression in Predicting Self-Efficacy in Academic Students

    Directory of Open Access Journals (Sweden)

    Mahbobeh Faramarzi

    2017-01-01

    Full Text Available Objective. Little research is available on the predictive factors of self-efficacy in college students. The aim of the present study is to examine the role of alexithymia, anxiety, and depression in predicting self-efficacy in academic students. Design. In a cross-sectional study, a total of 133 students at Babol University of Medical Sciences (Medicine, Dentistry, and Paramedicine participated in the study between 2014 and 2015. All participants completed the Toronto Alexithymia Scale (TAS-20, College Academic Self-Efficacy Scale (CASES, and 14 items on anxiety and depression derived from the 28 items of the General Health Questionnaire (28-GHQ. Results. Pearson correlation coefficients revealed negative significant relationships between alexithymia and the three subscales with student self-efficacy. There was no significant correlation between anxiety/depression symptoms and student self-efficacy. A backward multiple regression analysis revealed that alexithymia was a negative significant predictor of self-efficacy in academic students (B=-0.512, P<0.001. The prevalence of alexithymia was 21.8% in students. Multiple backward logistic analysis regression revealed that number of passed semesters, gender, mother’s education, father’s education, and doctoral level did not accurately predict alexithymia in college students. Conclusion. As alexithymia is prevalent in college students and affects self-efficacy and academic functioning, we suggest it should be routinely evaluated by mental physicians at universities.

  6. Interaction of CD38 Variant and Chronic Interpersonal Stress Prospectively Predicts Social Anxiety and Depression Symptoms Over Six Years

    Science.gov (United States)

    Tabak, Benjamin A.; Vrshek-Schallhorn, Suzanne; Zinbarg, Richard E.; Prenoveau, Jason M.; Mineka, Susan; Redei, Eva E.; Adam, Emma K.; Craske, Michelle G.

    2015-01-01

    Variation in the CD38 gene, which regulates secretion of the neuropeptide oxytocin, has been associated with several social phenotypes. Specifically, rs3796863 A allele carriers have demonstrated increased social sensitivity. In 400 older adolescents, we used trait-state-occasion modeling to investigate how rs3796863 genotype, baseline ratings of chronic interpersonal stress, and their gene-environment (GxE) interaction predicted trait social anxiety and depression symptoms over six years. We found significant GxE effects for CD38 A-carrier genotypes and chronic interpersonal stress at baseline predicting greater social anxiety and depression symptoms. A significant GxE effect of smaller magnitude was also found for C/C genotype and chronic interpersonal stress predicting greater depression; however, this effect was small compared to the main effect of chronic interpersonal stress. Thus, in the context of chronic interpersonal stress, heightened social sensitivity associated with the rs3796863 A allele may prospectively predict risk for social anxiety and (to a lesser extent) depression. PMID:26958455

  7. Does stigma predict a belief in dealing with depression alone?

    Science.gov (United States)

    Griffiths, Kathleen M; Crisp, Dimity A; Jorm, Anthony F; Christensen, Helen

    2011-08-01

    Community surveys indicate that many people with depressive disorders do not obtain professional help and that a preference for self-reliance is an important factor in this treatment gap. The current study sought to investigate whether stigmatising attitudes predict a belief in the helpfulness of dealing with depression without external assistance. Data were collected as part of a national household survey of 2000 Australian adults aged 18 years and above. Participants were presented with either a vignette depicting depression (n=1001) or a vignette depicting depression with suicidal ideation (n=999) and asked if it would be helpful or harmful to deal alone with the problem. Logistic regression analyses were conducted to determine if belief in dealing with depression alone was predicted by personal stigma, perceived stigma or sociodemographic characteristics. Higher levels of personal stigma independently predicted a belief in the helpfulness of dealing alone with both depression and depression with suicidal ideation. By contrast, lower levels of perceived stigma were associated with a belief in the helpfulness of dealing alone with depression without suicidal ideation. Personal stigma is associated with a belief in the helpfulness of self-reliance in coping with depression. Public health programs should consider the possibility that a belief in self-reliance is partly attributable to stigma. The findings also point to the potential importance of providing evidence-based self-help programs for those who believe in self-care. Copyright © 2011 Elsevier B.V. All rights reserved.

  8. Feelings of worthlessness during a single complicated major depressive episode predict postremission suicide attempt.

    Science.gov (United States)

    Wakefield, J C; Schmitz, M F

    2016-04-01

    To establish which symptoms of major depressive episode (MDE) predict postremission suicide attempts in complicated single-episode cases. Using the nationally representative two-wave National Epidemiologic Survey on Alcohol and Related Conditions data set, we identified wave 1 lifetime single-episode MDE cases in which the episode remitted by the beginning of the wave 2 three-year follow-up period (N = 2791). The analytic sample was further limited to 'complicated' cases (N = 1872) known to have elevated suicide attempt rates, defined as having two or more of the following: suicidal ideation, marked role impairment, feeling worthless, psychomotor retardation, and prolonged (>6 months) duration. Logistic regression analyses showed that, after controlling for wave 1 suicide attempt which significantly predicted postremission suicide attempt (OR = 10.0), the additional complicated symptom 'feelings of worthlessness' during the wave 1 index episode significantly and very substantially predicted postremission suicide attempt (OR = 6.96). Neither wave 1 psychomotor retardation nor wave 1 suicidal ideation nor any of the other wave 1 depressive symptoms were significant predictors of wave 2 suicide attempt. Among depressive symptoms during an MDE, feelings of worthlessness is the only significant indicator of elevated risk of suicide attempt after the episode has remitted, beyond previous suicide attempts. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  9. A Study of the Predictive Validity of the Children's Depression Inventory for Major Depression Disorder in Puerto Rican Adolescents

    Science.gov (United States)

    Rivera-Medina, Carmen L.; Bernal, Guillermo; Rossello, Jeannette; Cumba-Aviles, Eduardo

    2010-01-01

    This study aims to evaluate the predictive validity of the Children's Depression Inventory items for major depression disorder (MDD) in an outpatient clinic sample of Puerto Rican adolescents. The sample consisted of 130 adolescents, 13 to 18 years old. The five most frequent symptoms of the Children's Depression Inventory that best predict the…

  10. Overgeneral autobiographical memory at baseline predicts depressive symptoms at follow-up in patients with first-episode depression.

    Science.gov (United States)

    Liu, Yansong; Zhang, Fuquan; Wang, Zhiqiang; Cao, Leiming; Wang, Jun; Na, Aiguo; Sun, Yujun; Zhao, Xudong

    2016-09-30

    Previous studies have shown that overgeneral autobiographical memory (OGM) is a characteristic of depression. However, there are no studies to explore the association between baseline OGM and depressive symptoms at follow-up in patients with first-episode depression (FE). This study investigated whether baseline OGM predicts depressive symptoms at follow-up in patients with FE. We recruited 125 patients with FE. The participants were divided into remitted group and non-remitted group according to the severity of their depression at 12 months follow-up. The measures consisted of the 17-item Hamilton Depression Rating Scale, Ruminative Response Scale, and Autobiographical Memory Test. Hierarchical linear regression analyses and bootstrap mediation analyses were conducted. The results showed that non-remitted patients had more OGM at baseline. Baseline OGM predicted depressive symptoms at follow-up in patients with FE. Rumination mediated the relationship between baseline OGM and depressive symptoms at follow-up. Our findings highlight OGM as a vulnerability factor involved in the maintenance of depression in patients with FE. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  11. The utility of combining RSA indices in depression prediction.

    Science.gov (United States)

    Yaroslavsky, Ilya; Rottenberg, Jonathan; Kovacs, Maria

    2013-05-01

    Depression is associated with protracted despondent mood, blunted emotional reactivity, and dysregulated parasympathetic nervous system (PNS) activity. PNS activity is commonly indexed via cardiac output, using indictors of its level (resting respiratory sinus arrhythmia [RSA]) or fluctuations (RSA reactivity). RSA reactivity can reflect increased or decreased PNS cardiac output (RSA augmentation and RSA withdrawal, respectively). Because a single index of a dynamic physiological system may be inadequate to characterize interindividual differences, we investigated whether the interaction of RSA reactivity and resting RSA is a better predictor of depression. Adult probands with childhood-onset depressive disorder histories (n = 113) and controls with no history of major mental disorders (n = 93) completed a psychophysiology protocol involving assessment of RSA at multiple rest periods and while watching a sad film. When examined independently, resting RSA and RSA reactivity were unrelated to depression, but their interaction predicted latent depression levels and proband status. In the context of high resting RSA, RSA withdrawal from the sad film predicted the lowest levels of depressive symptoms (irrespective of depression histories) and the greatest likelihood of having had no history of major mental disorder (irrespective of current distress). Our findings highlight the utility of combining indices of physiological responses in studying depression; combinations of RSA indices should be given future consideration as reflecting depression endophenotypes. © 2013 American Psychological Association

  12. Using Data Mining to Predict Possible Future Depression Cases

    OpenAIRE

    Daimi, Kevin; Banitaan, Shadi

    2014-01-01

    Depression is a disorder characterized by misery and gloominess felt over a period of time. Some symptoms of depression overlap with somatic illnesses implying considerable difficulty in diagnosing it. This paper contributes to its diagnosis through the application of data mining, namely classification, to predict patients who will most likely develop depression or are currently suffering from depression. Synthetic data is used for this study. To acquire the results, the popular suite of mach...

  13. Structural MRI-Based Predictions in Patients with Treatment-Refractory Depression (TRD.

    Directory of Open Access Journals (Sweden)

    Blair A Johnston

    Full Text Available The application of machine learning techniques to psychiatric neuroimaging offers the possibility to identify robust, reliable and objective disease biomarkers both within and between contemporary syndromal diagnoses that could guide routine clinical practice. The use of quantitative methods to identify psychiatric biomarkers is consequently important, particularly with a view to making predictions relevant to individual patients, rather than at a group-level. Here, we describe predictions of treatment-refractory depression (TRD diagnosis using structural T1-weighted brain scans obtained from twenty adult participants with TRD and 21 never depressed controls. We report 85% accuracy of individual subject diagnostic prediction. Using an automated feature selection method, the major brain regions supporting this significant classification were in the caudate, insula, habenula and periventricular grey matter. It was not, however, possible to predict the degree of 'treatment resistance' in individual patients, at least as quantified by the Massachusetts General Hospital (MGH-S clinical staging method; but the insula was again identified as a region of interest. Structural brain imaging data alone can be used to predict diagnostic status, but not MGH-S staging, with a high degree of accuracy in patients with TRD.

  14. Breast Cancer Patients' Depression Prediction by Machine Learning Approach.

    Science.gov (United States)

    Cvetković, Jovana

    2017-09-14

    One of the most common cancer in females is breasts cancer. This cancer can has high impact on the women including health and social dimensions. One of the most common social dimension is depression caused by breast cancer. Depression can impairs life quality. Depression is one of the symptom among the breast cancer patients. One of the solution is to eliminate the depression in breast cancer patients is by treatments but these treatments can has different unpredictable impacts on the patients. Therefore it is suitable to develop algorithm in order to predict the depression range.

  15. Can personality traits predict increases in manic and depressive symptoms?

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    Lozano, B E; Johnson, S L

    2001-03-01

    There has been limited research investigating personality traits as predictors of manic and depressive symptoms in bipolar individuals. The present study investigated the relation between personality traits and the course of bipolar disorder. The purpose of this study was to identify specific personality traits that predict the course of manic and depressive symptoms experienced by bipolar individuals. The sample consisted of 39 participants with bipolar I disorder assessed by the Structured Clinical Interview for DSM-IV. Personality was assessed using the NEO Five-Factor Inventory. The Modified Hamilton Rating Scale for Depression and the Bech-Rafaelsen Mania Rating Scale were used to assess symptom severity on a monthly basis. Consistent with previous research on unipolar depression, high Neuroticism predicted increases in depressive symptoms across time while controlling for baseline symptoms. Additionally, high Conscientiousness, particularly the Achievement Striving facet, predicted increases in manic symptoms across time. The current study was limited by the small number of participants, the reliance on a shortened version of a self-report personality measure, and the potential state-dependency of the personality measures. Specific personality traits may assist in predicting bipolar symptoms across time. Further studies are needed to tease apart the state-dependency of personality.

  16. Contingent self-esteem and vulnerability to depression: Academic contingent self-esteem predicts depressive symptoms in students

    Directory of Open Access Journals (Sweden)

    Claudia eSchöne

    2015-10-01

    Full Text Available Low self-esteem has been established as a vulnerability factor for depression. In line with recent research, we suggest that a full understanding of the role of self-esteem in depression requires consideration of contingent self-esteem as well. For most people, competence is an important source of self-esteem. Students in particular link their self-esteem to academic competence. To test the hypothesis that academic contingent self-esteem (aCSE predicts depressive symptoms, two studies were conducted. Preceding the investigation of our hypothesis, the first purpose of Study 1 was to describe the development of aCSE, self-esteem level, and depressive symptoms in adolescence in a sample of German students aged 10–16 (N = 1888 in order to provide a foundation for further analyses. Then, to address the main question, age and gender differences in aCSE, self-esteem level, and depressive symptoms as well as their relations were investigated. The results show that (1 gender differences emerged after the age of 10/11. Girls scored higher on aCSE and depressive symptoms and lower on self-esteem level than did boys, and aCSE and depressive symptoms decreased and self-esteem level increased over time in boys, while the rather disadvantageous pattern in girls remained stable. (2 After controlling for self-esteem level and aCSE, the effects of gender and age × gender interaction on depressive symptoms disappeared, suggesting an influence of aCSE on depressive symptoms. (3 aCSE predicted depressive symptoms over and above self-esteem level.Since the results of Study 1 did not allow for causal conclusions, a longitudinal study (N = 160 was conducted to further investigate the causal role of aCSE. According to the diathesis-stress model, aCSE was expected to serve as a diathesis for developing depressive symptoms in the face of academic stress (daily hassles during an academic semester at university. The results of Study 2 revealed that aCSE interacted with

  17. Change in self-esteem predicts depressive symptoms at follow-up after intensive multimodal psychotherapy for major depression.

    Science.gov (United States)

    Dinger, Ulrike; Ehrenthal, Johannes C; Nikendei, Christoph; Schauenburg, Henning

    2017-09-01

    Reduced self-esteem is a core symptom of depression, but few studies have investigated within-treatment change of self-esteem as a predictor of long-term outcome in depression. This study investigated change in self-esteem during 8 weeks of multimodal, psychodynamically oriented psychotherapy for 40 depressed patients and tested whether it would predict outcome 6 months after termination. Data was drawn from a randomized clinical pilot trial on day-clinic versus inpatient psychotherapy for depression. Findings supported the association between change in self-esteem and follow-up depression severity, even when controlling for within-treatment symptom change. Change in self-esteem was not related to overall symptoms and interpersonal problems at follow-up. Thus, change in self-esteem may be an important variable in preventing relapse for depression. Self-esteem is related to depressive symptoms and interpersonal problems. Improvement of self-esteem during psychotherapy correlates with improvements of symptoms and interpersonal problems. Change of self-esteem during psychotherapy predicts depressive symptoms 6 months after termination of therapy. When treating depressed patients, psychotherapists should work towards an improvement of self-esteem in order to prevent relapse. Copyright © 2017 John Wiley & Sons, Ltd.

  18. Predicting the onset of major depression in subjects with subthreshold depression in primary care: A prospective study.

    NARCIS (Netherlands)

    Cuijpers, P.; Smit, H.F.E.; Willemse, G.

    2005-01-01

    Objective: That subjects with subthreshold depression have an increased probability of developing major depression has been confirmed by many studies. However, the factors which may predict the onset of major depression have yet to be fully examined. Method: We examined the control group of a

  19. Modifiable risk factors predicting major depressive disorder at four year follow-up: a decision tree approach.

    Science.gov (United States)

    Batterham, Philip J; Christensen, Helen; Mackinnon, Andrew J

    2009-11-22

    Relative to physical health conditions such as cardiovascular disease, little is known about risk factors that predict the prevalence of depression. The present study investigates the expected effects of a reduction of these risks over time, using the decision tree method favoured in assessing cardiovascular disease risk. The PATH through Life cohort was used for the study, comprising 2,105 20-24 year olds, 2,323 40-44 year olds and 2,177 60-64 year olds sampled from the community in the Canberra region, Australia. A decision tree methodology was used to predict the presence of major depressive disorder after four years of follow-up. The decision tree was compared with a logistic regression analysis using ROC curves. The decision tree was found to distinguish and delineate a wide range of risk profiles. Previous depressive symptoms were most highly predictive of depression after four years, however, modifiable risk factors such as substance use and employment status played significant roles in assessing the risk of depression. The decision tree was found to have better sensitivity and specificity than a logistic regression using identical predictors. The decision tree method was useful in assessing the risk of major depressive disorder over four years. Application of the model to the development of a predictive tool for tailored interventions is discussed.

  20. Modifiable risk factors predicting major depressive disorder at four year follow-up: a decision tree approach

    Directory of Open Access Journals (Sweden)

    Christensen Helen

    2009-11-01

    Full Text Available Abstract Background Relative to physical health conditions such as cardiovascular disease, little is known about risk factors that predict the prevalence of depression. The present study investigates the expected effects of a reduction of these risks over time, using the decision tree method favoured in assessing cardiovascular disease risk. Methods The PATH through Life cohort was used for the study, comprising 2,105 20-24 year olds, 2,323 40-44 year olds and 2,177 60-64 year olds sampled from the community in the Canberra region, Australia. A decision tree methodology was used to predict the presence of major depressive disorder after four years of follow-up. The decision tree was compared with a logistic regression analysis using ROC curves. Results The decision tree was found to distinguish and delineate a wide range of risk profiles. Previous depressive symptoms were most highly predictive of depression after four years, however, modifiable risk factors such as substance use and employment status played significant roles in assessing the risk of depression. The decision tree was found to have better sensitivity and specificity than a logistic regression using identical predictors. Conclusion The decision tree method was useful in assessing the risk of major depressive disorder over four years. Application of the model to the development of a predictive tool for tailored interventions is discussed.

  1. Predictive Roles of Three-Dimensional Psychological Pain, Psychache, and Depression in Suicidal Ideation among Chinese College Students

    Directory of Open Access Journals (Sweden)

    Huanhuan Li

    2017-09-01

    Full Text Available How to develop an effective screening instrument for predicting suicide risk is an important issue in suicidal research. The aim of the present research was to explore the predictive roles of three screening measures in the evaluation of preexisting suicide risk factors in a sample of undergraduate students. We assessed 1,061 students using the Beck depression and suicidal ideation scales (BDI-I (BSI, the Psychache Scale (PAS, and the three-dimensional Psychological Pain Scale (TDPPS. Simultaneous multivariate regression analysis showed that the predictive values of pain avoidance scores and BDI scores for suicidal ideation were more significant than that of the PAS scores. Subsequently, 42 patients with major depressive disorder (MDD, 39 students with subthreshold depression (SD, and 18 healthy controls were voluntarily recruited. Students with SD were divided into high suicidal ideation (HSI-SD and low suicidal ideation (LSI-SD groups. Pain avoidance scores and BDI scores differed significantly among the MDD, HSI-SD, LSI-SD, and healthy control groups. Pain avoidance and BSI scores were significantly higher in the MDD and HSI-SD groups than those in the LSI-SD and healthy control groups. However, no significant difference was observed in BDI scores between the HSI-SD and LSI-SD groups. Pain avoidance and depression, rather than psychache, may be promising predictors of suicidal ideation in a Chinese young adult population.

  2. Low self-esteem prospectively predicts depression in adolescence and young adulthood.

    Science.gov (United States)

    Orth, Ulrich; Robins, Richard W; Roberts, Brent W

    2008-09-01

    Low self-esteem and depression are strongly correlated in cross-sectional studies, yet little is known about their prospective effects on each other. The vulnerability model hypothesizes that low self-esteem serves as a risk factor for depression, whereas the scar model hypothesizes that low self-esteem is an outcome, not a cause, of depression. To test these models, the authors used 2 large longitudinal data sets, each with 4 repeated assessments between the ages of 15 and 21 years and 18 and 21 years, respectively. Cross-lagged regression analyses indicated that low self-esteem predicted subsequent levels of depression, but depression did not predict subsequent levels of self-esteem. These findings held for both men and women and after controlling for content overlap between the self-esteem and depression scales. Thus, the results supported the vulnerability model, but not the scar model, of self-esteem and depression.

  3. The predicting roles of reasons for living and social support on depression, anxiety and stress among young people in Malaysia.

    Science.gov (United States)

    Amit, N; Ibrahim, N; Aga Mohd Jaladin, R; Che Din, N

    2017-10-01

    This research examined the predicting roles of reasons for living and social support on depression, anxiety and stress in Malaysia. This research was carried out on a sample of 263 participants (age range 12-24 years old), from Klang Valley, Selangor. The survey package comprises demographic information, a measure of reasons for living, social support, depression, anxiety and stress. To analyse the data, correlation analysis and a series of linear multiple regression analysis were carried out. Findings showed that there were low negative relationships between all subdomains and the total score of reasons for living and depression. There were also low negative relationships between domain-specific of social support (family and friends) and total social support and depression. In terms of the family alliance, self-acceptance and total score of reasons for living, they were negatively associated with anxiety, whereas family social support was negatively associated with stress. The linear regression analysis showed that only future optimism and family social support found to be the significant predictors for depression. Family alliance and total reasons for living were significant in predicting anxiety, whereas family social support was significant in predicting stress. These findings have the potential to promote awareness related to depression, anxiety, and stress among youth in Malaysia.

  4. Big Five aspects of personality interact to predict depression.

    Science.gov (United States)

    Allen, Timothy A; Carey, Bridget E; McBride, Carolina; Bagby, R Michael; DeYoung, Colin G; Quilty, Lena C

    2017-09-16

    Research has shown that three personality traits-Neuroticism, Extraversion, and Conscientiousness-moderate one another in a three-way interaction that predicts depressive symptoms in healthy populations. We test the hypothesis that this effect is driven by three lower-order traits: withdrawal, industriousness, and enthusiasm. We then replicate this interaction within a clinical population for the first time. Sample 1 included 376 healthy adults. Sample 2 included 354 patients diagnosed with current major depressive disorder. Personality and depressive tendencies were assessed via the Big Five Aspect Scales and Personality Inventory for DSM-5 in Sample 1, respectively, and by the NEO-PI-R and Beck Depression Inventory-II in Sample 2. Withdrawal, industriousness, and enthusiasm interacted to predict depressive tendencies in both samples. The pattern of the interaction supported a "best two out of three" principle, in which low risk scores on two trait dimensions protects against a high risk score on the third trait. Evidence was also present for a "worst two out of three" principle, in which high risk scores on two traits are associated with equivalent depressive severity as high risk scores on all three traits. These results highlight the importance of examining interactive effects of personality traits on psychopathology. © 2017 Wiley Periodicals, Inc.

  5. Self-statements, locus of control, and depression in predicting self-esteem.

    Science.gov (United States)

    Philpot, V D; Holliman, W B; Madonna, S

    1995-06-01

    The contributions of frequency of positive and negative self-statements and their ratio, locus of control, and depression in prediction of self-esteem were examined. Volunteers were 145 college students (100 women and 45 men) who were administered the Coopersmith Self-esteem Inventory-Adult Form, Automatic Thought Questionnaire-Revised, the Beck Depression Inventory, and the Rotter Internal-External Locus of Control Scale. Intercorrelations suggested significant relationships among variables. The magnitude of the relationship was strongest between the frequency of negative self-statements and self-esteem. These results are consistent with and lend further support to prior studies of Kendall, et al. and Schwartz and Michaelson.

  6. Appetite and Weight Loss Symptoms in Late-Life Depression Predict Dementia Outcomes.

    Science.gov (United States)

    Saha, Sayoni; Hatch, Daniel J; Hayden, Kathleen M; Steffens, David C; Potter, Guy G

    2016-10-01

    Identify depression symptoms during active late-life depression (LLD) that predict conversion to dementia. The authors followed a cohort of 290 participants from the Neurocognitive Outcomes of Depression in the Elderly study. All participants were actively depressed and cognitively normal at enrollment. Depression symptom factors were derived from prior factor analysis: anhedonia and sadness, suicidality and guilt, appetite and weight loss, sleep disturbance, and anxiety and tension. Cox regression analysis modeled time to Alzheimer disease (AD) and non-AD dementia onset on depression symptom factors, along with age, education, sex, and race. Significant dementia predictors were tested for interaction with age at depression onset. Higher scores on the appetite and weight loss symptom factor were associated with an increased hazard of both AD and non-AD dementia. This factor was moderated by age at first depression onset, such that higher scores were associated with higher risk of non-AD dementia when depression first occurred earlier in life. Other depression symptom factors and overall depression severity were not related to risk of AD or non-AD dementia. Results suggest greater appetite/weight loss symptoms in active episodes of LLD are associated with increased likelihood of AD and non-AD dementia, but possibly via different pathways moderated by age at first depression onset. Results may help clinicians identify individuals with LLD at higher risk of developing AD and non-AD dementia and design interventions that reduce this risk. Copyright © 2016. Published by Elsevier Inc.

  7. Child temperament and parental depression predict cortisol reactivity to stress in middle childhood.

    Science.gov (United States)

    Mackrell, Sarah V M; Sheikh, Haroon I; Kotelnikova, Yuliya; Kryski, Katie R; Jordan, Patricia L; Singh, Shiva M; Hayden, Elizabeth P

    2014-02-01

    Children's cortisol reactivity to stress is an important mediator of depression risk, making the search for predictors of such reactivity an important goal for psychopathologists. Multiple studies have linked maternal depression and childhood behavioral inhibition (BI) independently to child cortisol reactivity, yet few have tested multivariate models of these risks. Further, paternal depression and other child temperament traits, such as positive emotionality (PE), have been largely ignored despite their potential relevance. We therefore examined longitudinal associations between child fear/BI and PE and parental depression, and children's cortisol stress reactivity, in 205 7-year-olds. Paternal depression and child fear/BI predicted greater cortisol stress reactivity at a follow-up of 164 9-year-olds, and maternal depression and child PE interacted to predict children's cortisol reactivity, such that higher child PE predicted lower cortisol reactivity in the context of maternal depression. Results highlight the importance of both parents' depression, as well as multiple facets of child temperament, in developing more comprehensive models of childhood cortisol reactivity to stress. PsycINFO Database Record (c) 2014 APA, all rights reserved.

  8. Predicting future major depression and persistent depressive symptoms: Development of a prognostic screener and PHQ-4 cutoffs in breast cancer patients.

    Science.gov (United States)

    Weihs, Karen L; Wiley, Joshua F; Crespi, Catherine M; Krull, Jennifer L; Stanton, Annette L

    2018-02-01

    Create a brief, self-report screener for recently diagnosed breast cancer patients to identify patients at risk of future depression. Breast cancer patients (N = 410) within 2 ± 1 months after diagnosis provided data on depression vulnerability. Depression outcomes were defined as a high depressive symptom trajectory or a major depressive episode during 16 months after diagnosis. Stochastic gradient boosting of regression trees identified 7 items highly predictive for the depression outcomes from a pool of 219 candidate depression vulnerability items. Three of the 7 items were from the Patient Health Questionnaire 4 (PHQ-4), a validated screener for current anxiety/depressive disorder that has not been tested to identify risk for future depression. Thresholds classifying patients as high or low risk on the new Depression Risk Questionnaire 7 (DRQ-7) and the PHQ-4 were obtained. Predictive performance of the DRQ-7 and PHQ-4 was assessed on a holdout validation subsample. DRQ-7 items assess loneliness, irritability, persistent sadness, and low acceptance of emotion as well as 3 items from the PHQ-4 (anhedonia, depressed mood, and worry). A DRQ-7 score of ≥6/23 identified depression outcomes with 0.73 specificity, 0.83 sensitivity, 0.68 positive predictive value, and 0.86 negative predictive value. A PHQ-4 score of ≥3/12 performed moderately well but less accurately than the DRQ-7 (net reclassification improvement = 10%; 95% CI [0.5-16]). The DRQ-7 and the PHQ-4 with a new cutoff score are clinically accessible screeners for risk of depression in newly diagnosed breast cancer patients. Use of the screener to select patients for preventive interventions awaits validation of the screener in other samples. Copyright © 2017 John Wiley & Sons, Ltd.

  9. Sleep Disturbance Predicts Posttraumatic Stress Disorder and Depressive Symptoms: A Cohort Study of Chinese Adolescents.

    Science.gov (United States)

    Fan, Fang; Zhou, Ya; Liu, Xianchen

    2017-07-01

    To examine the cross-sectional and longitudinal associations between sleep disturbance and posttraumatic stress disorder (PTSD) and depressive symptoms in a large cohort of adolescents exposed to the 2008 Wenchuan earthquake in China. Participants were 1,573 adolescents (mean age at initial survey = 15.0 years, SD = 1.3 years; 46% male) in the Wenchuan Earthquake Adolescent Health Cohort (WEAHC) in Dujiangyan, China, 20 km away from the east epicenter. The Pittsburgh Sleep Quality Index, Post-Traumatic Stress Disorder Self-Rating Scale, and Depression Self-Rating Scale for Children were used to assess participants' sleep, PTSD symptoms, and depressive symptoms, respectively, at 12 months (T12m) and 24 months (T24m) after the Wenchuan earthquake that occurred on May 12, 2008. At T12m and T24m, 38.3% and 37.5% of participants reported sleep disturbance, 22.5% and 14.0% reported PTSD symptoms, and 41.0% and 38.3% reported depressive symptoms, respectively. The prevalence rates of PTSD and depressive symptoms at T12m and T24m significantly increased with sleep disturbance and short sleep duration. After adjusting for demographics, earthquake exposure, and PTSD/depressive symptoms at T12m, sleep disturbance at T12m was significantly associated with increased risk for PTSD (odds ratio [OR] = 1.80; 95% CI, 1.17-2.75) and depressive symptoms (OR = 1.51; 95% CI, 1.14-2.02) at T24m. Furthermore, sleep disturbance predicted the persistence of PTSD (OR = 2.35; 95% CI, 1.43-3.85) and depressive symptoms (OR = 2.41; 95% CI, 1.80-3.24). Sleep disturbance, PTSD, and depressive symptoms were prevalent and persistent in adolescents at 12 and 24 months after exposure to the Wenchuan earthquake. Sleep disturbance predicts the development and persistence of PTSD and depressive symptoms. Early assessment and treatment of sleep disturbance may be an important strategy for prevention and intervention of PTSD and depression in adolescent trauma survivors. © Copyright 2017 Physicians

  10. Crisis of Meaning Predicts Suicidality in Youth Independently of Depression.

    Science.gov (United States)

    Schnell, Tatjana; Gerstner, Rebekka; Krampe, Henning

    2018-02-23

    At times, the question for meaning comes to nothing and a crisis of meaning ensues. This state is very painful, but difficult to account. Both those who suffer from it and care professionals find themselves at a loss for words. This study introduces an operationalization of a crisis of meaning. It aims to distinguish the concept from depression, and to investigate whether a crisis of meaning can explain suicidality beyond the known protective and risk factors self-esteem, family functioning, life-event load, and depression. Final-year school pupils in Ecuador (N = 300) completed questionnaires assessing the above variables. Data were analyzed using chi-square, hierarchic multiple regression, serial mediation, and moderator analyses. Crisis of meaning was distinguished from depression. It explained a significant amount of variance in suicidality beyond the mentioned protective and risk factors. For males, crisis of meaning was the only significant risk factor, and the strongest predictor overall. The acute risk factors depression and crisis of meaning mediated the effects of the baseline factors self-esteem, family functioning, and life-event load on suicidality. The study was cross-sectional; assessed factors predicted variance in suicidal thoughts, plans, and past suicide attempts, while their relevance cannot be generalized to actual future suicide attempts. A crisis of meaning is an important factor to take into account in further research on the prevention and treatment of people at risk of suicide.

  11. The predictive power of depression screening procedures for veterans with coronary artery disease

    Directory of Open Access Journals (Sweden)

    Shankman SA

    2012-04-01

    Full Text Available Stewart A Shankman1*, Jeffrey Nadelson2*, Sarah Kate McGowan1, Ali A Sovari2, Mladen I Vidovich21Department of Psychiatry and Psychology, University of Illinois, 2Department of Cardiology, Jesse Brown VA Medical Center, Chicago, IL, USA*These authors contributed equally to this workAbstract: Depression leads to a worse outcome for patients with coronary artery disease (CAD. Thus, accurately identifying depression in CAD patients is imperative. In many veterans affairs (VA hospitals, patients are screened for depression once a year using the patient health questionnaire (PHQ-9. Although the PHQ-9 is generally considered a specific and sensitive measure of depression, there is reason to believe that these screening procedures may miss a large number of cases of depression within CAD patients and cardiology patients more generally. The goal of this study was to provide data as to the predictive power of this depression screening procedure by (a comparing the prevalence rate of depression identified by the PHQ-9 to known prevalence rates and (b examining whether patients identified as “depressed” also had conditions that consistently co-occur with depression (eg, post-traumatic stress disorder [PTSD], other medical issues. Participants were 813 consecutive patients who received an angiogram in the cardiac catheterization laboratory at a large VA Medical Center. Prevalence of depression was 6.9% in the overall sample and less than 6% when the sample was restricted to CAD patients with significant stenosis. Depression was significantly associated with PTSD, smoking, and alcohol problems. However, depression was not associated with other medical problems such as diabetes, renal failure, peripheral vascular disease, or anemia. In conclusion, the low prevalence rate of depression and lack of associations with comorbid medical problems may suggest that the VA’s depression screening procedures have low sensitivity for identifying depression in CAD

  12. Differential Role of CBT Skills, DBT Skills and Psychological Flexibility in Predicting Depressive versus Anxiety Symptom Improvement

    Science.gov (United States)

    Webb, Christian A.; Beard, Courtney; Kertz, Sarah J.; Hsu, Kean; Björgvinsson, Thröstur

    2016-01-01

    Objective Studies have reported associations between cognitive behavioral therapy (CBT) skill use and symptom improvement in depressed outpatient samples. However, little is known regarding the temporal relationship between different subsets of therapeutic skills and symptom change among relatively severely depressed patients receiving treatment in psychiatric hospital settings. Method Adult patients with major depression (N=173) receiving combined psychotherapeutic and pharmacological treatment at a psychiatric hospital completed repeated assessments of traditional CBT skills, DBT skills and psychological flexibility, as well as depressive and anxiety symptoms. Results Results indicated that only use of behavioral activation (BA) strategies significantly predicted depressive symptom improvement in this sample; whereas DBT skills and psychological flexibility predicted anxiety symptom change. In addition, a baseline symptom severity X BA strategies interaction emerged indicating that those patients with higher pretreatment depression severity exhibited the strongest association between use of BA strategies and depressive symptom improvement. Conclusions Findings suggest the importance of emphasizing the acquisition and regular use of BA strategies with severely depressed patients in short-term psychiatric settings. In contrast, an emphasis on the development of DBT skills and the cultivation of psychological flexibility may prove beneficial for the amelioration of anxiety symptoms. PMID:27057997

  13. Family Conflict Interacts with Genetic Liability in Predicting Childhood and Adolescent Depression

    Science.gov (United States)

    Rice, Frances; Harold, Gordon T.; Shelton, Katherine H.; Thapar, Anita

    2006-01-01

    Objective: To test for gene-environment interaction with depressive symptoms and family conflict. Specifically, to first examine whether the influence of family conflict in predicting depressive symptoms is increased in individuals at genetic risk of depression. Second, to test whether the genetic component of variance in depressive symptoms…

  14. Depression and anxiety predict sex-specific cortisol responses to interpersonal stress.

    Science.gov (United States)

    Powers, Sally I; Laurent, Heidemarie K; Gunlicks-Stoessel, Meredith; Balaban, Susan; Bent, Eileen

    2016-07-01

    Clinical theories posit interpersonal stress as an important factor in the emergence and exacerbation of depression and anxiety, while neuroendocrine research confirms the association of these syndromes with dysregulation in a major stress response system, the hypothalamic-pituitary-adrenal (HPA) axis. However, the proposal that depression and anxiety symptoms and diagnoses are associated with problematic HPA responses to close relationship stress has not been directly tested. We examined 196 heterosexual dating couples' depression and anxiety symptoms and diagnoses, assessed with questionnaires and diagnostic interviews, in relation to cortisol responses to discussion of an unresolved relationship conflict. Participants provided seven salivary samples in anticipation of and directly following the discussion, and throughout an hour-long recovery period, which were assayed for cortisol. Multilevel models of the HPA response predicted by symptoms or diagnoses showed that women's depressive symptoms predicted attenuated cortisol levels, with a flatter response curve. In contrast, men's depression symptoms and women's anxiety symptoms and diagnoses predicted higher cortisol levels. These findings highlight the importance of examining sex differences in responses to interpersonal stressors for understanding HPA dysregulation in internalizing psychopathology. Copyright © 2016 Elsevier Ltd. All rights reserved.

  15. Altered neural reward and loss processing and prediction error signalling in depression

    Science.gov (United States)

    Ubl, Bettina; Kuehner, Christine; Kirsch, Peter; Ruttorf, Michaela

    2015-01-01

    Dysfunctional processing of reward and punishment may play an important role in depression. However, functional magnetic resonance imaging (fMRI) studies have shown heterogeneous results for reward processing in fronto-striatal regions. We examined neural responsivity associated with the processing of reward and loss during anticipation and receipt of incentives and related prediction error (PE) signalling in depressed individuals. Thirty medication-free depressed persons and 28 healthy controls performed an fMRI reward paradigm. Regions of interest analyses focused on neural responses during anticipation and receipt of gains and losses and related PE-signals. Additionally, we assessed the relationship between neural responsivity during gain/loss processing and hedonic capacity. When compared with healthy controls, depressed individuals showed reduced fronto-striatal activity during anticipation of gains and losses. The groups did not significantly differ in response to reward and loss outcomes. In depressed individuals, activity increases in the orbitofrontal cortex and nucleus accumbens during reward anticipation were associated with hedonic capacity. Depressed individuals showed an absence of reward-related PEs but encoded loss-related PEs in the ventral striatum. Depression seems to be linked to blunted responsivity in fronto-striatal regions associated with limited motivational responses for rewards and losses. Alterations in PE encoding might mirror blunted reward- and enhanced loss-related associative learning in depression. PMID:25567763

  16. A Cerebellar Framework for Predictive Coding and Homeostatic Regulation in Depressive Disorder.

    Science.gov (United States)

    Schutter, Dennis J L G

    2016-02-01

    Depressive disorder is associated with abnormalities in the processing of reward and punishment signals and disturbances in homeostatic regulation. These abnormalities are proposed to impair error minimization routines for reducing uncertainty. Several lines of research point towards a role of the cerebellum in reward- and punishment-related predictive coding and homeostatic regulatory function in depressive disorder. Available functional and anatomical evidence suggests that in addition to the cortico-limbic networks, the cerebellum is part of the dysfunctional brain circuit in depressive disorder as well. It is proposed that impaired cerebellar function contributes to abnormalities in predictive coding and homeostatic dysregulation in depressive disorder. Further research on the role of the cerebellum in depressive disorder may further extend our knowledge on the functional and neural mechanisms of depressive disorder and development of novel antidepressant treatments strategies targeting the cerebellum.

  17. Overgeneral memory predicts stability of short-term outcome of electroconvulsive therapy for depression.

    Science.gov (United States)

    Raes, Filip; Sienaert, Pascal; Demyttenaere, Koen; Peuskens, Joseph; Williams, J Mark G; Hermans, Dirk

    2008-03-01

    To investigate the predictive value of overgeneral memory (OGM) for outcome of electroconvulsive therapy (ECT) for depression. The Autobiographical Memory Test was used to measure OGM in 25 patients with depression before ECT. The Hamilton Rating Scale for Depression (HRSD) was administered weekly to 1 week posttreatment. Overgeneral memory did not predict HRSD scores from the last ECT treatment, but did predict HRSD change scores from the last treatment to 1-week follow-up: patients high in OGM experienced a relatively greater increase in HRSD scores after the last treatment. Results further extend the status of OGM as a predictor of an unfavorable course of depression to a previously unstudied ECT population.

  18. The Relationship between Irritable Bowel Syndrome, Depression, Anxiety, and Stress among Sample of Irritable Bowel Patients - Predictive Study

    OpenAIRE

    Osama Hasan Gaber

    2016-01-01

    This study aimed to examine the relationship of irritable bowel syndrome, anxiety, depression and stress among a sample of78 IBS patients (Rome III Diagnostic Criteria for Irritable Bowel Syndrome), anxiety symptoms scale, Depression symptoms scale, and stress scale (prepared by the researcher) were used Pearson Correlation Coefficient showed that there are statistically significant relationship between IBS and Anxiety, Depression and Stress (P?=0.01). The Regression and Prediction Coefficien...

  19. Prevalence and predictors of clinically significant depressive symptoms among Chinese and Malawian children: a cross-cultural comparative cross-sectional study.

    Science.gov (United States)

    Zgambo, Maggie; Kalembo, Fatch Welcome; Wang, Honghong; He, Guoping; Chen, Sanmei

    2014-08-14

    Multicultural comparative studies have recently increased scientific knowledge base regarding the mental health of diverse populations. This cross-cultural study was cross-sectionally designed to assess differences in the prevalence and predictors of clinically significant depressive symptoms between Chinese and Malawian children. A total of 478 children (237 Chinese and 241 Malawians) were randomly recruited in the study. The participants completed a Children Depression Inventory in the dimensions of Negative Mood, Interpersonal Problems, Ineffectiveness, Anhedonia, and Negative Self- Esteem. They further provided demographic and family structure information. Data were analyzed by Student's t-test, Chi-square test, and logistic regression. The prevalence of clinically significant depressive symptoms was 16% and 12.4% for Chinese and Malawian study participants, respectively. Multivariate logistic regression analysis showed that fighting among siblings (adjusted odds ratio [aOR] = 4.1, 95% CI, 3.5-5.9), fighting among children and parents (aOR = 7.7, 95% CI, 4.6-9.8) and living with father only (aOR = 4.1, 95% CI, 3.4-6.7) were significant predictors of clinically significant depressive symptoms among Chinese study participants. On the other hand, clinically significant depressive symptoms were predicted by employment status of a mom only among Malawian study participants (aOR = 3.0, 95% CI, 2.3-5.9). We conclude that diverse cultures affect children's mental health differently and this cluster of children has a noticeable amount of depressive symptoms that in the least requires further diagnosis and preventive measures.

  20. Cognitive reactivity to sad mood provocation and the prediction of depressive relapse.

    Science.gov (United States)

    Segal, Zindel V; Kennedy, Sidney; Gemar, Michael; Hood, Karyn; Pedersen, Rebecca; Buis, Tom

    2006-07-01

    Episode remission in unipolar major depression, while distinguished by minimal symptom burden, can also be a period of marked sensitivity to emotional stress as well as an increased risk of relapse. To examine whether mood-linked changes in dysfunctional thinking predict relapse in recovered patients who were depressed. In phase 1 of this study, patients with major depressive disorder were randomly assigned to receive either antidepressant medication or cognitive behavior therapy. In phase 2, patients who achieved clinical remission underwent sad mood provocation and were then observed with regular clinical assessments for 18 months. Outpatient psychiatric clinics at the Centre for Addiction and Mental Health, Toronto, Ontario. A total of 301 outpatients with major depressive disorder, aged 18 to 65 years, participated in phase 1 of this study and 99 outpatients with major depressive disorder in remission, aged 18 to 65 years, participated in phase 2. Occurrence of a relapse meeting DSM-IV criteria for a major depressive episode as assessed by the longitudinal interval follow-up evaluation and a Hamilton Depression Rating Scale score of 16 or greater. Patients who recovered through antidepressant medication showed greater cognitive reactivity following the mood provocation than those who received cognitive behavior therapy. Regardless of type of prior treatment, the magnitude of mood-linked cognitive reactivity was a significant predictor of relapse over the subsequent 18 months. Patients whose mood-linked endorsement of dysfunctional attitudes increased by a minimum of 8 points had a significantly shorter time to relapse than those whose scores were not as elevated. The vulnerability of remitted depressed patients for illness relapse may be related to the (re)activation of depressive thinking styles triggered by temporary dysphoric states. This is the first study to link such differences to prognosis following successful treatment for depression. Further

  1. A clinical prediction rule for detecting major depressive disorder in primary care : the PREDICT-NL study

    NARCIS (Netherlands)

    Zuithoff, Nicolaas P A; Vergouwe, Yvonne; King, Michael; Nazareth, Irwin; Hak, Eelko; Moons, Karel G M; Geerlings, Mirjam I

    BACKGROUND: Major depressive disorder often remains unrecognized in primary care. OBJECTIVE: Development of a clinical prediction rule using easily obtainable predictors for major depressive disorder in primary care patients. METHODS: A total of 1046 subjects, aged 18-65 years, were included from

  2. Prediction of depressive disorder following myocardial infarction Data from the Myocardial INfarction and Depression-Intervention Trial (MIND-IT)

    NARCIS (Netherlands)

    van Melle, JP; de Jonge, P; Kuyper, AMG; Honig, A; Schene, AH; Crijns, HJGM; van den Berg, MP; van Veldhuisen, DJ; Ormel, J

    2006-01-01

    Background: Depression following myocardial infarction (MI) is associated with complicated cardiac rehabilitation, non-compliance and poor prognosis. Whether depression following MI can be predicted from variables routinely assessed during hospitalization for MI is unknown. Methods: Using data from

  3. Validity of the Maudsley Staging Method in Predicting Treatment-Resistant Depression Outcome Using the Netherlands Study of Depression and Anxiety

    NARCIS (Netherlands)

    van Belkum, Sjoerd M; Geugies, Hanneke H; Lysen, Thom S; Cleare, Anthony J; Peeters, Frenk P M L; Penninx, Brenda W J H; Schoevers, Robert A; Ruhe, Eric G

    2018-01-01

    OBJECTIVE: We investigated if the degree of treatment resistance of depression, as measured by the Maudsley Staging Method (MSM), is predictive of a worse depression outcome by using a large naturalistic cohort of depressed patients. METHODS: 643 subjects from the general population, primary care,

  4. Disease stage, but not sex, predicts depression and psychological distress in Huntington's disease

    DEFF Research Database (Denmark)

    Dale, Maria; Maltby, John; Shimozaki, Steve

    2016-01-01

    OBJECTIVE: Depression and anxiety significantly affect morbidity in Huntington's disease. Mice. models of Huntington's disease have identified sex differences in mood-like behaviours that vary across disease lifespan, but this interaction has not previously been explored in humans with Huntington......'s disease. However, among certain medical populations, evidence of sex differences in mood across various disease stages has been found, reflecting trends among the general population that women tend to experience anxiety and depression 1.5 to 2 times more than men. The current study examined whether...... disease stage and sex, either separately or as an interaction term, predicted anxiety and depression in Huntington's disease. METHODS: A cross-sectional study of REGISTRY data involving 453 Huntington's disease participants from 12 European countries was undertaken using the Hospital Anxiety...

  5. What do predict anxiety and depression in breast cancer patients? A follow-up study.

    Science.gov (United States)

    Vahdaninia, Mariam; Omidvari, Sepideh; Montazeri, Ali

    2010-03-01

    Psychological adjustment following cancer occurrence remains a key issue among the survivors. This study aimed to investigate psychological distress in patients with breast cancer following completion of breast cancer treatments and to determine its associated factors. This was a prospective study of anxiety and depression in breast cancer patients. Anxiety and depression were measured using the Hospital Anxiety and Depression Scale at three points in time: baseline (pre-diagnosis), 3 months after initial treatment and 1 year after completion of treatment (in all 18 months follow-up). At baseline, the questionnaires were administered to all the suspected patients while both patients and the interviewer were blind to the final diagnosis. Socio-demographic and clinical data included age, education, marital status, disease stage and initial treatment. Repeated measure analysis was performed to compare anxiety and depression over the study period. Logistic regression analysis was performed to determine variables that predict anxiety and depression. Altogether 167 patients were diagnosed with breast cancer. The mean age of breast cancer patients was 47.2 (SD = 13.5) years, and the vast majority underwent mastectomy (82.6%). At 18 months follow-up, data for 99 patients were available. The results showed that anxiety and depression improved over the time (P < 0.001) although at 18-month follow-up, 38.4% and 22.2% of the patients presented with severe anxiety and depression, respectively. 'Fatigue' was found to be a risk factor for developing anxiety and depression at 3 months follow-up [odds ratio (OR) = 1.04, 95% Confidence interval (CI) = 1.01-1.07 and OR = 1.04, 95% CI = 1.02-1.07 respectively]. At 18 months follow-up, anxiety was predicted by 'pain' (OR = 1.02, 95% CI = 1.00-1.05), whereas depression was predicted by both 'fatigue' (OR = 1.06, 95% CI = 1.02-1.09) and 'pain' (OR = 1.05, 95% CI = 1.01-1.08). Although the findings indicated that the levels of anxiety and

  6. Predictive accuracy of Edinburgh Postnatal Depression Scale assessment during pregnancy for the risk of developing postpartum depressive symptoms : a prospective cohort study

    NARCIS (Netherlands)

    Meijer, J. L.; Beijers, C.; van Pampus, M. G.; Verbeek, T.; Stolk, R. P.; Milgrom, J.; Bockting, C. L. H.; Burger, H.

    2014-01-01

    ObjectiveTo investigate whether the 10-item Edinburgh Postnatal Depression Scale (EPDS) administered antenatally is accurate in predicting postpartum depressive symptoms, and whether a two-item EPDS has similar predictive accuracy. DesignProspective cohort study. SettingObstetric care in the

  7. The validity of dysthymia to predict clinical depressive symptoms as measured by the Hamilton Depression Scale at the 5-year follow-up of patients with first episode depression

    DEFF Research Database (Denmark)

    Bech, Per; Kessing, Lars Vedel; Bukh, Jens Drachmann

    2016-01-01

    BACKGROUND: In long-term follow-up studies on depression, the Eysenck Neuroticism Scale (ENS) at the score level of dysthymia has been found to be valid at predicting poor outcome. AIMS: The ENS dysthymia level was compared with the Beck Depression Inventory (BDI) level to predict the prevalence...... of depressive symptoms at the 5-year follow-up of patients initially diagnosed with first episode depression using the Hamilton Depression Scale (HAM-D) to express depressive symptoms. METHODS: A total of 301 in- or outpatients aged 18-70 years with a recent single depressive episode were assessed by ENS, BDI......, and HAM-D from 2005-2007. At 5-year follow-up from 2011-2013, the participants were re-assessed by HAM-D. The HAM-D was used to measure depressive symptoms at the 5-year follow-up. The Mokken analysis was used to indicate scalability of the BDI and ENS. RESULTS: A total of 185 participants were available...

  8. Fronto-Temporal Connectivity Predicts ECT Outcome in Major Depression

    Directory of Open Access Journals (Sweden)

    Amber M. Leaver

    2018-03-01

    Full Text Available BackgroundElectroconvulsive therapy (ECT is arguably the most effective available treatment for severe depression. Recent studies have used MRI data to predict clinical outcome to ECT and other antidepressant therapies. One challenge facing such studies is selecting from among the many available metrics, which characterize complementary and sometimes non-overlapping aspects of brain function and connectomics. Here, we assessed the ability of aggregated, functional MRI metrics of basal brain activity and connectivity to predict antidepressant response to ECT using machine learning.MethodsA radial support vector machine was trained using arterial spin labeling (ASL and blood-oxygen-level-dependent (BOLD functional magnetic resonance imaging (fMRI metrics from n = 46 (26 female, mean age 42 depressed patients prior to ECT (majority right-unilateral stimulation. Image preprocessing was applied using standard procedures, and metrics included cerebral blood flow in ASL, and regional homogeneity, fractional amplitude of low-frequency modulations, and graph theory metrics (strength, local efficiency, and clustering in BOLD data. A 5-repeated 5-fold cross-validation procedure with nested feature-selection validated model performance. Linear regressions were applied post hoc to aid interpretation of discriminative features.ResultsThe range of balanced accuracy in models performing statistically above chance was 58–68%. Here, prediction of non-responders was slightly higher than for responders (maximum performance 74 and 64%, respectively. Several features were consistently selected across cross-validation folds, mostly within frontal and temporal regions. Among these were connectivity strength among: a fronto-parietal network [including left dorsolateral prefrontal cortex (DLPFC], motor and temporal networks (near ECT electrodes, and/or subgenual anterior cingulate cortex (sgACC.ConclusionOur data indicate that pattern classification of multimodal f

  9. Major depressive disorder subtypes to predict long-term course

    Science.gov (United States)

    van Loo, Hanna M.; Cai, Tianxi; Gruber, Michael J.; Li, Junlong; de Jonge, Peter; Petukhova, Maria; Rose, Sherri; Sampson, Nancy A.; Schoevers, Robert A.; Wardenaar, Klaas J.; Wilcox, Marsha A.; Al-Hamzawi, Ali Obaid; Andrade, Laura Helena; Bromet, Evelyn J.; Bunting, Brendan; Fayyad, John; Florescu, Silvia E.; Gureje, Oye; Hu, Chiyi; Huang, Yueqin; Levinson, Daphna; Medina-Mora, Maria Elena; Nakane, Yoshibumi; Posada-Villa, Jose; Scott, Kate M.; Xavier, Miguel; Zarkov, Zahari; Kessler, Ronald C.

    2016-01-01

    Background Variation in course of major depressive disorder (MDD) is not strongly predicted by existing subtype distinctions. A new subtyping approach is considered here. Methods Two data mining techniques, ensemble recursive partitioning and Lasso generalized linear models (GLMs) followed by k-means cluster analysis, are used to search for subtypes based on index episode symptoms predicting subsequent MDD course in the World Mental Health (WMH) Surveys. The WMH surveys are community surveys in 16 countries. Lifetime DSM-IV MDD was reported by 8,261 respondents. Retrospectively reported outcomes included measures of persistence (number of years with an episode; number of with an episode lasting most of the year) and severity (hospitalization for MDD; disability due to MDD). Results Recursive partitioning found significant clusters defined by the conjunctions of early onset, suicidality, and anxiety (irritability, panic, nervousness-worry-anxiety) during the index episode. GLMs found additional associations involving a number of individual symptoms. Predicted values of the four outcomes were strongly correlated. Cluster analysis of these predicted values found three clusters having consistently high, intermediate, or low predicted scores across all outcomes. The high-risk cluster (30.0% of respondents) accounted for 52.9-69.7% of high persistence and severity and was most strongly predicted by index episode severe dysphoria, suicidality, anxiety, and early onset. A total symptom count, in comparison, was not a significant predictor. Conclusions Despite being based on retrospective reports, results suggest that useful MDD subtyping distinctions can be made using data mining methods. Further studies are needed to test and expand these results with prospective data. PMID:24425049

  10. Depression, realism, and the overconfidence effect: are the sadder wiser when predicting future actions and events?

    Science.gov (United States)

    Dunning, D; Story, A L

    1991-10-01

    Do depressed individuals make more realistic judgments than their nondepressed peers in real world settings? Depressed and nondepressed Ss in 2 studies were asked to make predictions about future actions and outcomes that might occur in their personal academic and social worlds. Both groups of Ss displayed overconfidence, that is, they overestimated the likelihood that their predictions would prove to be accurate. Of key importance, depressed Ss were less accurate in their predictions, and thus more overconfident, than their nondepressed counterparts. These differences arose because depressed Ss (a) were more likely to predict the occurrence of low base-rate events and (b) were less likely to be correct when they made optimistic predictions (i.e., stated that positive events would occur or that aversive outcomes would not). Discussion focuses on implications of these findings for the depressive realism hypothesis.

  11. Contribution of Self-Esteem and Collective Self-Esteem in Predicting Depression

    OpenAIRE

    Shraddha Sharma; Surila Agarwala

    2013-01-01

    This research was conducted with the purpose to examine the relationship among self-esteem, collective self-esteem and depression. Anotherobjective was to study the contribution of self-esteem and collective self-esteem in predicting depression. Beck Depression Inventory (1996),Rosenberg Self-Esteem Inventory (1985) and Collective Self-Esteem Inventory by Luhtanen and Crocker (1992) were used to measuredepression, self-esteem and collective self-esteem respectively. Study was carried out on 2...

  12. INFLEXIBLE COGNITION PREDICTS FIRST ONSET OF MAJOR DEPRESSIVE EPISODES IN ADOLESCENCE.

    Science.gov (United States)

    Stange, Jonathan P; Connolly, Samantha L; Burke, Taylor A; Hamilton, Jessica L; Hamlat, Elissa J; Abramson, Lyn Y; Alloy, Lauren B

    2016-04-19

    Major depressive disorder often is characterized by a lack of cognitive and emotional flexibility, resulting in an impaired ability to adapt to situational demands. Adolescence is an important period of risk for the first onset of depression, yet relatively little is known about whether aspects of inflexibility, such as rumination and deficits in attentional shifting, could confer risk for the development of the disorder during this time. In the present study, a sample of 285 never-depressed adolescents completed self-report and behavioral measures of rumination and attentional shifting at a baseline visit, followed by up to 4 years of annual prospective follow-up diagnostic assessments. Survival analyses indicated that adolescents with greater levels of rumination or poorer attentional shifting experienced a shorter time until the first onset of major depressive episodes, even after accounting for baseline symptoms and demographic characteristics. Although girls were twice as likely as boys to experience the first onset of depression, rumination predicted a shorter time until depression onset only for boys. Rumination and attentional shifting were not correlated and predicted time until onset of major depression independently of one another. These results provide evidence that components of cognition that are characterized by rigidity and perseveration confer risk for the first onset of major depression during adolescence. Evaluating rumination and attentional shifting in adolescence may be useful in identifying individuals who are at risk for depression and who may benefit from interventions that target or alter the development of these characteristics. © 2016 Wiley Periodicals, Inc.

  13. Predictive Model for Anxiety and Depression in Spanish Patients with Stable Chronic Obstructive Pulmonary Disease.

    Science.gov (United States)

    González-Gutiérrez, María Victoria; Guerrero Velázquez, José; Morales García, Concepción; Casas Maldonado, Francisco; Gómez Jiménez, Francisco Javier; González Vargas, Francisco

    2016-03-01

    The association between chronic obstructive pulmonary disease (COPD) and anxiety and depression is not yet completely characterized, and differences between countries may exist. We used a predictive model to assess this association in a Spanish population. Prospective transversal descriptive study of 204 patients with stable COPD. Concomitant anxiety or depression were diagnosed by psychiatric assessment, using the diagnostic criteria of the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10). Sociodemographic, clinical and lung function parameters were analyzed. In total, 36% of stable COPD patients had psychiatric comorbidities, but 76% were unaware of their diagnosis. Nineteen percent had a pure anxiety disorder, 9.8% had isolated depression, and 7.3% had a mixed anxiety-depression disorder. Predictive variables in the multivariate analysis were younger age, higher educational level, lack of home support, higher BODE index, and greater number of exacerbations. The ROC curve of the model had an AUC of 0.765 (P<0.001). In COPD, concomitant psychiatric disorders are significantly associated with sociodemographic factors. Anxiety disorders are more common than depression. Patients with more severe COPD, according to BODE, younger patients and those with a higher educational level have a greater risk of being diagnosed with anxiety or depression in a structured psychiatric interview. In our population, most patients with psychiatric comorbidities remain unidentified. Copyright © 2015 SEPAR. Published by Elsevier Espana. All rights reserved.

  14. Geological significance of paleo-aulacogen and exploration potential of reef flat gas reservoirs in the Western Sichuan Depression

    Directory of Open Access Journals (Sweden)

    Shu Liu

    2015-11-01

    Full Text Available Confirming thick hydrocarbon generation center and discovering thick porous reservoirs are two key factors to start the Permian gas exploration of the Western Sichuan Depression. In this paper, the Sinian-Cambrian structures of this area were studied by adopting the layer-flattening technology and the Lower Paleozoic thickness map was prepared in order to describe the Permian hydrocarbon generation center. Then, combined with seismic facies analysis and field outcrop bioherm discovery, the distribution of Middle Permian reef flat reservoirs were predicted. Finally, the favorable conditions for reef flat reservoir dolomitization were analyzed based on fault features. The study indicates that: (1 Sinian top represents a huge depression in the profile flatted by the reflecting interface of Permian bottom, with normal faults filled by thick Lower Paleozoic sediments at both sides, revealing that a aulacogen formed during the Khanka taphrogeny exists in the Western Sichuan Depression, where very thick Cambrian strata may contain hydrocarbon generation center, making Permian strata have the material conditions for the formation of large gas pools; (2 the Middle Permian strata in the Western Sichuan Depression exhibit obvious abnormal response in reef flat facies, where three large abnormal bands are developed, which are predicted as bioherm complex combined with the Middle Permian bioherm outcrop discoveries in surface; and (3 deep and large extensional faults are developed in reef flat margin, manifesting as favorable conditions for the development of dolomite reservoirs. The results show that the Middle Permian traps in the Western Sichuan Depression contain resources up to 7400 × 108 m3, showing significant natural gas exploration prospects. By far, one risk exploration well has been deployed.

  15. Neuroticism Predicts Subsequent Risk of Major Depression for Whites but Not Blacks

    Directory of Open Access Journals (Sweden)

    Shervin Assari

    2017-09-01

    Full Text Available Cultural and ethnic differences in psychosocial and medical correlates of negative affect are well documented. This study aimed to compare blacks and whites for the predictive role of baseline neuroticism (N on subsequent risk of major depressive episodes (MDD 25 years later. Data came from the Americans’ Changing Lives (ACL Study, 1986–2011. We used data on 1219 individuals (847 whites and 372 blacks who had data on baseline N in 1986 and future MDD in 2011. The main predictor of interest was baseline N, measured using three items in 1986. The main outcome was 12 months MDD measured using the Composite International Diagnostic Interview (CIDI at 2011. Covariates included baseline demographics (age and gender, socioeconomics (education and income, depressive symptoms [Center for Epidemiologic Studies Depression Scale (CES-D], stress, health behaviors (smoking and driking, and physical health [chronic medical conditions, obesity, and self-rated health (SRH] measured in 1986. Logistic regressions were used to test the predictive role of baseline N on subsequent risk of MDD 25 years later, net of covariates. The models were estimated in the pooled sample, as well as blacks and whites. In the pooled sample, baseline N predicted subsequent risk of MDD 25 years later (OR = 2.23, 95%CI = 1.14–4.34, net of covariates. We also found a marginally significant interaction between race and baseline N on subsequent risk of MDD (OR = 0.37, 95% CI = 0.12–1.12, suggesting a stronger effect for whites compared to blacks. In race-specific models, among whites (OR = 2.55; 95% CI = 1.22–5.32 but not blacks (OR = 0.90; 95% CI = 0.24–3.39, baseline N predicted subsequent risk of MDD. Black-white differences in socioeconomics and physical health could not explain the racial differences in the link between N and MDD. Blacks and whites differ in the salience of baseline N as a psychological determinant of MDD risk over a long period of time. This finding

  16. Discovery of serum biomarkers predicting development of a subsequent depressive episode in social anxiety disorder.

    Science.gov (United States)

    Gottschalk, M G; Cooper, J D; Chan, M K; Bot, M; Penninx, B W J H; Bahn, S

    2015-08-01

    Although social anxiety disorder (SAD) is strongly associated with the subsequent development of a depressive disorder (major depressive disorder or dysthymia), no underlying biological risk factors are known. We aimed to identify biomarkers which predict depressive episodes in SAD patients over a 2-year follow-up period. One hundred sixty-five multiplexed immunoassay analytes were investigated in blood serum of 143 SAD patients without co-morbid depressive disorders, recruited within the Netherlands Study of Depression and Anxiety (NESDA). Predictive performance of identified biomarkers, clinical variables and self-report inventories was assessed using receiver operating characteristics curves (ROC) and represented by the area under the ROC curve (AUC). Stepwise logistic regression resulted in the selection of four serum analytes (AXL receptor tyrosine kinase, vascular cell adhesion molecule 1, vitronectin, collagen IV) and four additional variables (Inventory of Depressive Symptomatology, Beck Anxiety Inventory somatic subscale, depressive disorder lifetime diagnosis, BMI) as optimal set of patient parameters. When combined, an AUC of 0.86 was achieved for the identification of SAD individuals who later developed a depressive disorder. Throughout our analyses, biomarkers yielded superior discriminative performance compared to clinical variables and self-report inventories alone. We report the discovery of a serum marker panel with good predictive performance to identify SAD individuals prone to develop subsequent depressive episodes in a naturalistic cohort design. Furthermore, we emphasise the importance to combine biological markers, clinical variables and self-report inventories for disease course predictions in psychiatry. Following replication in independent cohorts, validated biomarkers could help to identify SAD patients at risk of developing a depressive disorder, thus facilitating early intervention. Copyright © 2015 Elsevier Inc. All rights reserved.

  17. Does early improvement in depressive symptoms predict subsequent remission in patients with depression who are treated with duloxetine?

    Directory of Open Access Journals (Sweden)

    Sueki A

    2016-05-01

    Full Text Available Akitsugu Sueki, Eriko Suzuki, Hitoshi Takahashi, Jun Ishigooka Department of Neuropsychiatry, Tokyo Women’s Medical University, Tokyo, Japan Purpose: In this prospective study, we examined whether early reduction in depressive symptoms predicts later remission to duloxetine in the treatment of depression, as monitored using the Montgomery–Asberg Depression Rating Scale (MADRS. Patients and methods: Among the 106 patients who were enrolled in this study, 67 were included in the statistical analysis. A clinical evaluation using the MADRS was performed at weeks 0, 4, 8, 12, and 16 after commencing treatment. For each time point, the MADRS total score was separated into three components: dysphoria, retardation, and vegetative scores. Results: Remission was defined as an MADRS total score of ≤10 at end point. From our univariate logistic regression analysis, we found that improvements in both the MADRS total score and the dysphoria score at week 4 had a significant interaction with subsequent remission. Furthermore, age and sex were significant predictors of remission. There was an increase of approximately 4% in the odds of remission for each unit increase in age, and female sex had an odds of remission of 0.318 times that of male sex (remission rate for men was 73.1% [19/26] and for women 46.3% [19/41]. However, in the multivariate model using the change from baseline in the total MADRS, dysphoria, retardation, and vegetative scores at week 4, in which age and sex were included as covariates, only sex retained significance, except for an improvement in the dysphoria score. Conclusion: No significant interaction was found between early response to duloxetine and eventual remission in this study. Sex difference was found to be a predictor of subsequent remission in patients with depression who were treated with duloxetine, with the male sex having greater odds of remission. Keywords: antidepressant, early response, sex difference, serotonin

  18. Predicting early post-partum depressive symptoms among older primiparous Japanese mothers.

    Science.gov (United States)

    Iwata, Hiroko; Mori, Emi; Tsuchiya, Miyako; Sakajo, Akiko; Maehara, Kunie; Ozawa, Harumi; Morita, Akiko; Maekawa, Tomoko; Aoki, Kyoko; Makaya, Miyuki; Tamakoshi, Koji

    2015-10-01

    The number of older primiparas is increasing in Japan. These women have been shown to be more vulnerable to post-partum depression. This study aimed to identify factors for predicting post-partum depressive symptoms during hospitalization after childbirth in Japanese primiparas aged 35 years and over. The present authors used the data of 479 primiparas aged 35 years and over from a prospective cohort study. Data were collected using self-report questionnaires on the day before hospital discharge. The questionnaire consisted of: demographics and background information; depressive symptoms; fatigue; maternal confidence and maternal satisfaction; child-care values; physical symptoms; perceptions of daily life during hospitalization; concerns about child care and daily life; and infant feeding. Additionally, vital records data were obtained from the hospitals. A stepwise logistic regression analysis was performed on the binary outcome variable of depressive symptoms, measured by the Japanese version of the Edinburgh Postnatal Depression Scale. Women who scored 9 or more were considered to be at high risk for post-partum depression. The authors obtained informed consent from all participants and institutional ethics approvals before initiating the study. The following six variables reliably predicted the risk of post-partum depression: emergency cesarean section, lower satisfaction with birth experience, higher physical burden in daily life, long-term complications with the newborn, more concerns about newborn caretaking after discharge, and more concerns about one's own life after discharge. Recognition of women with these factors will help nurses to identify those at risk for developing post-partum depression and to provide appropriate care during hospitalization after childbirth. © 2015 The Authors. Japan Journal of Nursing Science © 2015 Japan Academy of Nursing Science.

  19. Predicting relapse in major depressive disorder using patient-reported outcomes of depressive symptom severity, functioning, and quality of life in the Individual Burden of Illness Index for Depression (IBI-D).

    Science.gov (United States)

    Ishak, Waguih William; Greenberg, Jared M; Cohen, Robert M

    2013-10-01

    Patients with Major Depressive Disorder (MDD) often experience unexpected relapses, despite achieving remission. This study examines the utility of a single multidimensional measure that captures variance in patient-reported Depressive Symptom Severity, Functioning, and Quality of Life (QOL), in predicting MDD relapse. Complete data from remitted patients at the completion of 12 weeks of citalopram in the STAR*D study were used to calculate the Individual Burden of Illness index for Depression (IBI-D), and predict subsequent relapse at six (n=956), nine (n=778), and twelve months (n=479) using generalized linear models. Depressive Symptom Severity, Functioning, and QOL were all predictors of subsequent relapse. Using Akaike information criteria (AIC), the IBI-D provided a good model for relapse even when Depressive Symptom Severity, Functioning, and QOL were combined in a single model. Specifically, an increase of one in the IBI-D increased the odds ratio of relapse by 2.5 at 6 months (β=0.921 ± 0.194, z=4.76, pDepressive Symptom Severity in the IBI-D is useful in assessing the full burden of illness and in adequately predicting relapse, in MDD. © 2013 Elsevier B.V. All rights reserved.

  20. The Role of Masculinity and Depressive Symptoms in Predicting Suicidal Ideation in Homeless Men.

    Science.gov (United States)

    Genuchi, Matthew C

    2018-02-20

    Men's suicide rates may be influenced by difficulties recognizing externalizing depressive symptoms in men that adhere to hegemonic masculine gender role norms. The purpose of this study was to investigate the ability of externalizing depressive symptoms, internalizing depressive symptoms, and hegemonic masculinity in predicting the existence and severity of suicidal ideation. Homeless men (n = 94) completed questionnaires at a resource center in the Rocky Mountain Western United States. Internalizing symptoms predicted the existence of suicidal ideation, and both externalizing and internalizing symptoms predicted increased severity of suicidal ideation. The masculine norms violence and playboy were correlated with men's suicidal ideation. An externalizing-internalizing model of predicting suicide in men and men's adherence to certain masculine gender role norms may be valuable to further efforts in suicide assessment and prevention.

  1. Interplay between marital attributions and conflict behavior in predicting depressive symptoms.

    Science.gov (United States)

    Ellison, Jenna K; Kouros, Chrystyna D; Papp, Lauren M; Cummings, E Mark

    2016-03-01

    Marital attributions-that is, causal inferences and explanations spouses make about their partners' behavior-have been implicated as predictors of relationship functioning. Extending previous work, we examined marital attributions as a moderator of the link between marital conflict and depressive symptoms 1 year later. Participants were 284 couples who reported on marital attributions and depressive symptoms. Couples also engaged in a videotaped marital conflict interaction, which was later coded for specific conflict behaviors. The results showed that husbands' and wives' marital attributions about their partner moderated relations between marital conflict behavior and later depressive symptoms, controlling for global marital sentiments. For husbands, positive behavior and affect during marital conflict predicted a decrease in depressive symptoms, but only for husbands' who made low levels of responsibility and causal attributions about their wives. Wives' causal attributions about their partner also moderated relations between positive behavior and affect during marital conflict and husbands' later depressive symptoms. Reflecting an unexpected finding, negative behavior and affect during marital conflict predicted increases in wives' depressive symptoms, but only for wives who made low levels of responsibility attributions about their partner. The findings suggest that, for husbands, low levels of negative marital attributions for spouses may be protective, strengthening the positive effect of constructive conflict behaviors for their mental health, whereas for wives low levels of responsibility attributions about their spouse may be a risk factor, exacerbating the negative effect of negative marital conflict behaviors on their later depressive symptoms. (c) 2016 APA, all rights reserved).

  2. Prediction of electroconvulsive therapy response and remission in major depression : meta-analysis

    OpenAIRE

    Diermen, van, Linda; Ameele, van den, Seline; Kamperman, Astrid M.; Sabbe, Bernard G.C.; Vermeulen, Tom; Schrijvers, Didier; Birkenhager, Tom K.

    2018-01-01

    Abstract: Background Electroconvulsive therapy (ECT) is considered to be the most effective treatment in severe major depression. The identification of reliable predictors of ECT response could contribute to a more targeted patient selection and consequently increased ECT response rates. Aims To investigate the predictive value of age, depression severity, psychotic and melancholic features for ECT response and remission in major depression. Method A meta-analysis was conducted according to t...

  3. Cortisol responses to psychosocial stress predict depression trajectories: social-evaluative threat and prior depressive episodes as moderators.

    Science.gov (United States)

    Morris, Matthew C; Rao, Uma; Garber, Judy

    2012-12-20

    Alterations of hypothalamic-pituitary-adrenal (HPA) function are well-established in adults with current depression. HPA alterations may persist into remission and confer increased risk for recurrence. A modified version of the Trier Social Stress Test (TSST) was administered at baseline to 32 young adults with remitted major depressive disorder and 36 never-depressed controls. Participants were randomly assigned to either a 'high-stress' condition involving social evaluation or a 'low-stress' control condition. Cortisol concentrations were measured in saliva samples throughout the TSST. Participants were assessed again after 6 months for the occurrence of stressful life events and depressive symptoms/disorders during the follow-up period. Participants who exhibited enhanced cortisol reactivity in the low-stress condition showed increases in depressive symptoms over follow-up, after controlling for stressful life events during the follow-up period. Anticipatory stress cortisol and cortisol reactivity each interacted with history of depressive episodes to predict depression trajectories. The single TSST administration limits conclusions about whether alterations of cortisol reactivity represent trait-like vulnerability factors or consequences ("scars') of past depression. These results extend previous findings on stress sensitivity in depression and suggest that altered HPA function during remission could reflect an endophenotype for vulnerability to depression recurrence. Findings support interactive models of risk for depression recurrence implicating HPA function, depression history, and sensitivity to minor stressors. Results may have implications for interventions that match treatment approaches to profiles of HPA function. Copyright © 2012 Elsevier B.V. All rights reserved.

  4. Somatic symptoms: an important index in predicting the outcome of depression at six-month and two-year follow-up points among outpatients with major depressive disorder.

    Science.gov (United States)

    Hung, Ching-I; Liu, Chia-Yih; Wang, Shuu-Jiun; Juang, Yeong-Yuh; Yang, Ching-Hui

    2010-09-01

    Few studies have simultaneously compared the ability of depression, anxiety, and somatic symptoms to predict the outcome of major depressive disorder (MDD). This study aimed to compare the MDD outcome predictive ability of depression, anxiety, and somatic severity at 6-month and 2-year follow-ups. One-hundred and thirty-five outpatients (men/women=34/101) with MDD were enrolled. Depression and anxiety were evaluated by the Hamilton Depression Rating Scale, Hospital Anxiety and Depression Scale, and depression subscale of the Depression and Somatic Symptoms Scale (DSSS). Somatic severity was evaluated by the somatic subscale of the DSSS. Subjects undergoing pharmacotherapy in the follow-up month were categorized into the treatment group; the others were categorized into the no-treatment group. Multiple linear regressions were used to identify the scales most powerful in predicting MDD outcome. Among the 135 subjects, 119 and 106 completed the 6-month and 2-year follow-ups, respectively. Somatic severity at baseline was correlated with the outcomes of the three scales at the two follow-ups. After controlling for demographic variables, somatic severity independently predicted most outcomes of the three scales at the two follow-ups in the no-treatment group and the cost of pharmacotherapy and DSSS score at the 6-month follow-up in the treatment group. Division of the subjects into treatment and no-treatment groups was not based on randomization and bias might have been introduced. Somatic severity was the most powerful index in predicting MDD outcome. Psychometric scales with appropriate somatic symptom items may be more accurate in predicting MDD outcome. 2010 Elsevier B.V. All rights reserved.

  5. The Role of Depression and Attachment Styles in Predicting Students' Addiction to Cell Phones.

    Science.gov (United States)

    Ghasempour, Abdollah; Mahmoodi-Aghdam, Mansour

    2015-01-01

    The present study aimed at investigating the role of depression and attachment styles in predicting cell phone addiction. In this descriptive correlational study, a sample including 100 students of Payame Noor University (PNU), Reyneh Center, Iran, in the academic year of 2013-2014 was selected using volunteer sampling. Participants were asked to complete the adult attachment inventory (AAI), Beck depression inventory-13 (BDI-13) and the cell phone overuse scale (COS). Results of the stepwise multiple regression analysis showed that depression and avoidant attachment style were the best predictors of students' cell phone addiction (R(2) = 0.23). The results of this study highlighted the predictive value of depression and avoidant attachment style concerning students' cell phone addiction.

  6. Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction.

    Science.gov (United States)

    Patel, Meenal J; Andreescu, Carmen; Price, Julie C; Edelman, Kathryn L; Reynolds, Charles F; Aizenstein, Howard J

    2015-10-01

    Currently, depression diagnosis relies primarily on behavioral symptoms and signs, and treatment is guided by trial and error instead of evaluating associated underlying brain characteristics. Unlike past studies, we attempted to estimate accurate prediction models for late-life depression diagnosis and treatment response using multiple machine learning methods with inputs of multi-modal imaging and non-imaging whole brain and network-based features. Late-life depression patients (medicated post-recruitment) (n = 33) and older non-depressed individuals (n = 35) were recruited. Their demographics and cognitive ability scores were recorded, and brain characteristics were acquired using multi-modal magnetic resonance imaging pretreatment. Linear and nonlinear learning methods were tested for estimating accurate prediction models. A learning method called alternating decision trees estimated the most accurate prediction models for late-life depression diagnosis (87.27% accuracy) and treatment response (89.47% accuracy). The diagnosis model included measures of age, Mini-mental state examination score, and structural imaging (e.g. whole brain atrophy and global white mater hyperintensity burden). The treatment response model included measures of structural and functional connectivity. Combinations of multi-modal imaging and/or non-imaging measures may help better predict late-life depression diagnosis and treatment response. As a preliminary observation, we speculate that the results may also suggest that different underlying brain characteristics defined by multi-modal imaging measures-rather than region-based differences-are associated with depression versus depression recovery because to our knowledge this is the first depression study to accurately predict both using the same approach. These findings may help better understand late-life depression and identify preliminary steps toward personalized late-life depression treatment. Copyright © 2015 John Wiley

  7. Less than Optimal Parenting Strategies Predict Maternal Low-Level Depression beyond that of Child Transgressions

    Science.gov (United States)

    Lagace-Seguin, Daniel G.; d'Entremont, Marc-Robert L.

    2006-01-01

    The relationship between less than optimal parenting styles, child transgressions and maternal depression were examined. It was predicted that variations in parenting styles would predict maternal depression over and above child transgressions. The present study involved approximately 68 children, their mothers and their preschool teachers.…

  8. Peer Victimization and Harsh Parenting Predict Cognitive Diatheses for Depression in Children and Adolescents

    Science.gov (United States)

    Cole, David A.; Sinclair-McBride, Keneisha R.; Zelkowitz, Rachel; Bilsky, Sarah A.; Roeder, Kathryn; Spinelli, Tawny

    2015-01-01

    Objective The current study examined peer victimization and harsh parenting as longitudinal predictors of broadband and narrowband cognitions associated with the etiology of depression in children and adolescents. Method The sample consisted of 214 elementary and middle school students. At the start of the study, their average age was 12.2 years (SD = 1.0). The sex ratio was 112 girls to 102 boys. The sample was ethnically diverse (58.9% Caucasian, 34.1% African American, 10.7% Hispanic, 3.3% Asian, and 5.2% other). Children and their parents completed measures of peer victimization and harsh parenting. At two waves one year apart, children also completed questionnaire measures of negative and positive broadband cognitive style (e.g., personal failure, global self-worth) and narrowband self-perceptions (e.g., perceived social threat, social acceptance). Results Every wave 2 cognitive variable was predicted by peer victimization or harsh parenting or both, even after controlling for a wave 1 measure of the same cognitive variable. Peer victimization more consistently predicted narrowband social/interpersonal cognitions, whereas harsh parenting more consistently predicted broadband positive and negative cognitions. Furthermore, controlling for positive and negative self-cognitions eliminated a statistically significant effect of harsh parenting and peer victimization on depressive symptoms. Conclusions Support emerged for the social learning of negative self-cognitions. Support also emerged for negative self-cognitions as a mediator of depressive symptoms. Implications for theory and practice are discussed. PMID:25751612

  9. Peer Victimization and Harsh Parenting Predict Cognitive Diatheses for Depression in Children and Adolescents.

    Science.gov (United States)

    Cole, David A; Sinclair-McBride, Keneisha R; Zelkowitz, Rachel; Bilsk, Sarah A; Roeder, Kathryn; Spinelli, Tawny

    2016-01-01

    The current study examined peer victimization and harsh parenting as longitudinal predictors of broadband and narrowband cognitions associated with the etiology of depression in children and adolescents. The sample consisted of 214 elementary and middle school students. At the start of the study, their average age was 12.2 years (SD = 1.0). The sex ratio was 112 girls to 102 boys. The sample was ethnically diverse (58.9% Caucasian, 34.1% African American, 10.7% Hispanic, 3.3% Asian, and 5.2% other). Children and their parents completed measures of peer victimization and harsh parenting. At two waves 1 year apart, children also completed questionnaire measures of negative and positive broadband cognitive style (e.g., personal failure, global self-worth) and narrowband self-perceptions (e.g., perceived social threat, social acceptance). Every Wave 2 cognitive variable was predicted by peer victimization or harsh parenting or both, even after controlling for a Wave 1 measure of the same cognitive variable. Peer victimization more consistently predicted narrowband social/interpersonal cognitions, whereas harsh parenting more consistently predicted broadband positive and negative cognitions. Furthermore, controlling for positive and negative self-cognitions eliminated a statistically significant effect of harsh parenting and peer victimization on depressive symptoms. Support emerged for the social learning of negative self-cognitions. Support also emerged for negative self-cognitions as a mediator of depressive symptoms. Implications for theory and practice are discussed.

  10. Overgeneral autobiographical memory predicts changes in depression in a community sample.

    Science.gov (United States)

    Van Daele, Tom; Griffith, James W; Van den Bergh, Omer; Hermans, Dirk

    2014-01-01

    This study investigated whether overgeneral autobiographical memory (OGM) predicts the course of symptoms of depression and anxiety in a community sample, after 5, 6, 12 and 18 months. Participants (N=156) completed the Autobiographical Memory Test and the Depression Anxiety Stress Scales-21 (DASS-21) at baseline and were subsequently reassessed using the DASS-21 at four time points over a period of 18 months. Using latent growth curve modelling, we found that OGM was associated with a linear increase in depression. We were unable to detect changes over time in anxiety. OGM may be an important marker to identify people at risk for depression in the future, but more research is needed with anxiety.

  11. Stigma Predicts Treatment Preferences and Care Engagement among Veterans Affairs Primary Care Patients with Depression

    Science.gov (United States)

    Campbell, Duncan G.; Bonner, Laura M.; Bolkan, Cory R.; Lanto, Andrew B.; Zivin, Kara; Waltz, Thomas J.; Klap, Ruth; Rubenstein, Lisa V.; Chaney, Edmund F.

    2016-01-01

    Background Whereas stigma regarding mental health concerns exists, the evidence for stigma as a depression treatment barrier among patients in Veterans Affairs (VA) primary care (PC) is mixed. Purpose To test whether stigma, defined as depression label avoidance, predicted patients' preferences for depression treatment providers, patients' prospective engagement in depression care, and care quality. Methods We conducted cross-sectional and prospective analyses of existing data from 761 VA PC patients with probable major depression. Results Relative to low stigma patients, those with high stigma were less likely to prefer treatment from mental health specialists. In prospective controlled analyses, high stigma predicted lower likelihood of the following: taking medications for mood, treatment by mental health specialists, treatment for emotional concerns in PC, and appropriate depression care. Conclusions High stigma is associated with lower preferences for care from mental health specialists and confers risk for minimal depression treatment engagement. PMID:26935310

  12. The Role of Religiousness/Spirituality and Social Networks in Predicting Depressive Symptoms among Older Korean Americans.

    Science.gov (United States)

    Lee, Yeon-Shim; Park, So-Young; Roh, Soonhee; Koenig, Harold G; Yoo, Grace J

    2017-06-01

    This study (1) examined the effects of religiousness/spirituality and social networks as predictors of depressive symptoms in older Korean Americans and (2) compared the best predictors of depressive symptoms. A cross-sectional survey was conducted with 200 older Korean Americans residing in the New York City area in 2009. Best-subsets regression analyses were used to evaluate the best predictors of depressive symptoms. Nearly 30% of older Korean participants reported mild or severe depressive symptoms. The best model fit for depressive symptoms involved four predictors: physical health status, religious/spiritual coping skills, social networks, and annual household income. Social networks and religious/spiritual coping skills contributed significantly to the variance of depressive symptoms. Adding additional variables to the model did not enhance predictive and descriptive power. Religiousness/spirituality and social networks are important for coping with life stress and may be useful in developing effective health care strategies in the management of depression among older Korean Americans. Health education and intervention could be framed in ways that strengthen such coping resources for this population. Future research is needed to best guide prevention and intervention strategies.

  13. Predictability of depression severity based on posterior alpha oscillations

    NARCIS (Netherlands)

    Jiang, H.; Popov, T.; Jylänki, P.P.; Bi, K.; Yao, Z.; Lu, Q.; Jensen, O.; Gerven, M.A.J. van

    2016-01-01

    Objective: We aimed to integrate neural data and an advanced machine learning technique to predict individual major depressive disorder (MDD) patient severity. Methods: MEG data was acquired from 22 MDD patients and 22 healthy controls (HC) resting awake with eyes closed. Individual power spectra

  14. Resting Heart Rate Predicts Depression and Cognition Early after Ischemic Stroke: A Pilot Study.

    Science.gov (United States)

    Tessier, Arnaud; Sibon, Igor; Poli, Mathilde; Audiffren, Michel; Allard, Michèle; Pfeuty, Micha

    2017-10-01

    Early detection of poststroke depression (PSD) and cognitive impairment (PSCI) remains challenging. It is well documented that the function of autonomic nervous system is associated with depression and cognition. However, their relationship has never been investigated in the early poststroke phase. This pilot study aimed at determining whether resting heart rate (HR) parameters measured in early poststroke phase (1) are associated with early-phase measures of depression and cognition and (2) could be used as new tools for early objective prediction of PSD or PSCI, which could be applicable to patients unable to answer usual questionnaires. Fifty-four patients with first-ever ischemic stroke, without cardiac arrhythmia, were assessed for resting HR and heart rate variability (HRV) within the first week after stroke and for depression and cognition during the first week and at 3 months after stroke. Multiple regression analyses controlled for age, gender, and stroke severity revealed that higher HR, lower HRV, and higher sympathovagal balance (low-frequency/high-frequency ratio of HRV) were associated with higher severity of depressive symptoms within the first week after stroke. Furthermore, higher sympathovagal balance in early phase predicted higher severity of depressive symptoms at the 3-month follow-up, whereas higher HR and lower HRV in early phase predicted lower global cognitive functioning at the 3-month follow-up. Resting HR measurements obtained in early poststroke phase could serve as an objective tool, applicable to patients unable to complete questionnaires, to help in the early prediction of PSD and PSCI. Copyright © 2017 National Stroke Association. Published by Elsevier Inc. All rights reserved.

  15. Orbitofrontal cortex activity and connectivity predict future depression symptoms in adolescence.

    Science.gov (United States)

    Jin, Jingwen; Narayanan, Ananth; Perlman, Greg; Luking, Katherine; DeLorenzo, Christine; Hajcak, Greg; Klein, Daniel N; Kotov, Roman; Mohanty, Aprajita

    2017-10-01

    Major depressive disorder is a leading cause of disability worldwide; however, little is known about pathological mechanisms involved in its development. Research in adolescent depression has focused on reward sensitivity and striatal mechanisms implementing it. The contribution of loss sensitivity to future depression, as well as the orbitofrontal cortex (OFC) mechanisms critical for processing losses and rewards, remain unexplored. Furthermore, it is unclear whether OFC functioning interacts with familial history in predicting future depression. In this longitudinal study we recorded functional magnetic resonance imaging (fMRI) data while 229 adolescent females with or without parental history of depression completed a monetary gambling task. We examined if OFC blood-oxygen-level-dependent (BOLD) response and functional connectivity during loss and win feedback was associated with depression symptoms concurrently and prospectively (9 months later), and whether this relationship was moderated by parental history of depression. Reduced OFC response during loss was associated with higher depression symptoms concurrently and prospectively, even after controlling for concurrent depression, specifically in adolescents with parental history of depression. Similarly, increased OFC-posterior insula connectivity during loss was associated with future depression symptoms but this relationship was not moderated by parental history of depression. This study provides the first evidence for loss-related alterations in OFC functioning and its interaction with familial history of depression as possible mechanisms in the development of depression. While the current fMRI literature has mainly focused on reward, the present findings underscore the need to include prefrontal loss processing in existing developmental models of depression.

  16. Parental Depression and Child Cognitive Vulnerability Predict Children’s Cortisol Reactivity

    Science.gov (United States)

    Hayden, Elizabeth P.; Hankin, Benjamin L.; Mackrell, Sarah V.M.; Sheikh, Haroon I.; Jordan, Patricia L.; Dozois, David J.A.; Singh, Shiva M.; Olino, Thomas M.; Badanes, Lisa S.

    2015-01-01

    Risk for depression is expressed across multiple levels of analysis. For example, parental depression and cognitive vulnerability are known markers of depression risk, but no study has examined their interactive effects on children’s cortisol reactivity, a likely mediator of early depression risk. We examined relations across these different levels of vulnerability using cross-sectional and longitudinal methods in two community samples of children. Children were assessed for cognitive vulnerability using self-reports (Study 1; n = 244) and tasks tapping memory and attentional bias (Study 2; n = 205), and their parents were assessed for depression history using structured clinical interviews. In both samples, children participated in standardized stress tasks and cortisol reactivity was assessed. Cross-sectionally and longitudinally, parental depression history and child cognitive vulnerability interacted to predict children’s cortisol reactivity; specifically, associations between parent depression and elevated child cortisol activity were found when children also showed elevated depressotypic attributions, as well as attentional and memory biases. Findings indicate that models of children’s emerging depression risk may benefit from the examination of the interactive effects of multiple sources of vulnerability across levels of analysis. PMID:25422972

  17. Prediction of specific depressive symptom clusters in youth with epilepsy: The NDDI-E-Y versus Neuro-QOL SF.

    Science.gov (United States)

    Kellermann, Tanja S; Mueller, Martina; Carter, Emma G; Brooks, Byron; Smith, Gigi; Kopp, Olivia J; Wagner, Janelle L

    2017-08-01

    Proper assessment and early identification of depressive symptoms are essential to initiate treatment and minimize the risk for poor outcomes in youth with epilepsy (YWE). The current study examined the predictive utility of the Neurological Disorders Depression Inventory-Epilepsy for Youth (NDDI-E-Y) and the Neuro-QOL Depression Short Form (Neuro-QOL SF) in explaining variance in overall depressive symptoms and specific symptom clusters on the gold standard Children's Depression Inventory-2 (CDI-2). Cross-sectional study examining 99 YWE (female 68, mean age 14.7 years) during a routine epilepsy visit, who completed self-report measures of depressive symptoms, including the NDDI-E-Y, CDI-2, and the Neuro-QOL SF. Caregivers completed a measure of seizure severity. All sociodemographic and medical information was evaluated through electronic medical record review. After accounting for seizure and demographic variables, the NDDI-E-Y accounted for 45% of the variance in the CDI-2 Total score and the CDI-2 Ineffectiveness subscale. Furthermore, the NDDI-E-Y predicted CDI-2 Total scores and subscales similarly, with the exception of explaining significantly more variance in the CDI-2 Ineffectiveness subscale compared to the Negative Mood subscale. The NDDI-E-Y explained greater variance compared to Neuro-QOL SF across the Total (48% vs. 37%) and all CDI-2 subscale scores; however, the NDDI-E-Y emerged as a stronger predictor of only CDI-2 Ineffectiveness. Both the NDDI-E-Y and Neuro-QOL SF accounted for the lowest amount of variance in CDI-2 Negative Mood. Sensitivity was poor for the Neuro-QOL SF in predicting high versus low CDI-2 scores. The NDDI-E-Y has strong psychometrics and can be easily integrated into routine epilepsy care for quick, brief screening of depressive symptoms in YWE. Wiley Periodicals, Inc. © 2017 International League Against Epilepsy.

  18. Implicit negative affect predicts attention to sad faces beyond self-reported depressive symptoms in healthy individuals: An eye-tracking study.

    Science.gov (United States)

    Bodenschatz, Charlott Maria; Skopinceva, Marija; Kersting, Anette; Quirin, Markus; Suslow, Thomas

    2018-04-04

    Cognitive theories of depression assume biased attention towards mood-congruent information as a central vulnerability and maintaining factor. Among other symptoms, depression is characterized by excessive negative affect (NA). Yet, little is known about the impact of naturally occurring NA on the allocation of attention to emotional information. The study investigates how implicit and explicit NA as well as self-reported depressive symptoms predict attentional biases in a sample of healthy individuals (N = 104). Attentional biases were assessed using eye-tracking during a free viewing task in which images of sad, angry, happy and neutral faces were shown simultaneously. Participants' implicit affectivity was measured indirectly using the Implicit Positive and Negative Affect Test. Questionnaires were administered to assess actual and habitual explicit NA and presence of depressive symptoms. Higher levels of depressive symptoms were associated with sustained attention to sad faces and reduced attention to happy faces. Implicit but not explicit NA significantly predicted gaze behavior towards sad faces independently from depressive symptoms. The present study supports the idea that naturally occurring implicit NA is associated with attention allocation to dysphoric facial expression. The findings demonstrate the utility of implicit affectivity measures in studying individual differences in depression-relevant attentional biases and cognitive vulnerability. Copyright © 2018 Elsevier B.V. All rights reserved.

  19. Artificial Neural Network (ANN) Model to Predict Depression among Geriatric Population at a Slum in Kolkata, India.

    Science.gov (United States)

    Sau, Arkaprabha; Bhakta, Ishita

    2017-05-01

    Depression is one of the most important causes of mortality and morbidity among the geriatric population. Although, the aging brain is more vulnerable to depression, it cannot be considered as physiological and an inevitable part of ageing. Various sociodemographic and morbidity factors are responsible for the depression among them. Using Artificial Neural Network (ANN) model depression can be predicted from various sociodemographic variables and co morbid conditions even at community level by the grass root level health care workers. To predict depression among geriatric population from sociodemographic and morbidity attributes using ANN. An observational descriptive study with cross-sectional design was carried out at a slum under the service area of Bagbazar Urban Health and Training Centre (UHTC) in Kolkata. Among 126 elderlies under Bagbazar UHTC, 105 were interviewed using predesigned and pretested schedule. Depression status was assessed using 30 item Geriatric Depression Scale. WEKA 3.8.0 was used to develop the ANN model and test its performance. Prevalence of depression among the study population was 45.7%. Various sociodemographic variables like age, gender, literacy, living spouse, working status, personal income, family type, substance abuse and co morbid conditions like visual problem, mobility problem, hearing problem and sleeping problem were taken into consideration to develop the model. Prediction accuracy of this ANN model was 97.2%. Depression among geriatric population can be predicted accurately using ANN model from sociodemographic and morbidity attributes.

  20. Predicting Time to Recovery Among Depressed Adolescents Treated in Two Psychosocial Group Interventions

    Science.gov (United States)

    Rohde, Paul; Seeley, John R.; Kaufman, Noah K.; Clarke, Gregory N.; Stice, Eric

    2006-01-01

    Aims were to identify the demographic, psychopathology, and psychosocial factors predicting time to major depressive disorder (MDD) recovery and moderators of treatment among 114 depressed adolescents recruited from a juvenile justice center and randomized to a cognitive behavioral treatment (CBT) condition or a life skills-tutoring control…

  1. Early Adolescent Depressive Symptoms: Prediction from Clique Isolation, Loneliness, and Perceived Social Acceptance

    Science.gov (United States)

    Witvliet, Miranda; Brendgen, Mara; van Lier, Pol A. C.; Koot, Hans M.; Vitaro, Frank

    2010-01-01

    This study examined whether clique isolation predicted an increase in depressive symptoms and whether this association was mediated by loneliness and perceived social acceptance in 310 children followed from age 11-14 years. Clique isolation was identified through social network analysis, whereas depressive symptoms, loneliness, and perceived…

  2. Early childhood malnutrition predicts depressive symptoms at ages 11-17.

    Science.gov (United States)

    Galler, J R; Bryce, C P; Waber, D; Hock, R S; Exner, N; Eaglesfield, D; Fitzmaurice, G; Harrison, R

    2010-07-01

    We examined the prevalence of depressive symptoms in Barbadian youth with histories of infantile malnutrition and in a healthy comparison group and the extent to which the effect of malnutrition was mediated/moderated by maternal depression. Depressive symptoms were assessed using a 20-item scale administered to youths (11-17 years of age) who had experienced an episode of protein-energy malnutrition (marasmus or kwashiorkor) during the first year of life and in a comparison group of healthy youths without a history of malnutrition. Their mothers completed the same questionnaire on the same test on three occasions when their children were 5-17 years of age at 2-5-year intervals. The prevalence of depressive symptoms was elevated among previously malnourished youth relative to healthy comparison children (p childhood malnutrition remained and were not discernibly attenuated from an unadjusted analysis. We also found significant independent effects of maternal depressive symptoms on youth depressive symptoms. Early childhood malnutrition contributed independently to depressive symptoms in youths who experienced a significant episode of malnutrition in the first year of life. This relationship was not mediated or moderated by the effects of maternal depression. Whether the later vulnerability to depression is a direct effect of the episode of malnutrition and related conditions early in life or whether it is mediated by the more proximal neurobehavioral effects of the malnutrition remains to be determined.

  3. Predicting levels of Latino depression: acculturation, acculturative stress, and coping.

    Science.gov (United States)

    Torres, Lucas

    2010-04-01

    Past research has noted that aspects of living in the United States place Latinos at risk for experiencing psychological problems. However, the specific features of the adaptation process that contribute to depression remain unclear. The purpose of the present study was to investigate the ability of acculturation, acculturative stress, and coping to predict membership into low, medium, and high groups of depression among Latinos. Within a group of 148 Latino adults from the community, a multinomial logistic regression revealed that an Anglo orientation, English competency pressures, and active coping differentiated high from low depression and that a Latino orientation and, to some extent, the pressure to acculturate distinguished medium from low depression. These results highlight a pattern of characteristics that function as risk and protective factors in relation to level of symptom severity. The findings are discussed in terms of implications for Latino mental health, including considerations for intervention and prevention. PsycINFO Database Record (c) 2010 APA, all rights reserved.

  4. Risk factors for antenatal depression, postnatal depression and parenting stress

    Directory of Open Access Journals (Sweden)

    Milgrom Jeannette

    2008-04-01

    Full Text Available Abstract Background Given that the prevalence of antenatal and postnatal depression is high, with estimates around 13%, and the consequences serious, efforts have been made to identify risk factors to assist in prevention, identification and treatment. Most risk factors associated with postnatal depression have been well researched, whereas predictors of antenatal depression have been less researched. Risk factors associated with early parenting stress have not been widely researched, despite the strong link with depression. The aim of this study was to further elucidate which of some previously identified risk factors are most predictive of three outcome measures: antenatal depression, postnatal depression and parenting stress and to examine the relationship between them. Methods Primipara and multiparae women were recruited antenatally from two major hoitals as part of the beyondblue National Postnatal Depression Program 1. In this subsidiary study, 367 women completed an additional large battery of validated questionnaires to identify risk factors in the antenatal period at 26–32 weeks gestation. A subsample of these women (N = 161 also completed questionnaires at 10–12 weeks postnatally. Depression level was measured by the Beck Depression Inventory (BDI. Results Regression analyses identified significant risk factors for the three outcome measures. (1. Significant predictors for antenatal depression: low self-esteem, antenatal anxiety, low social support, negative cognitive style, major life events, low income and history of abuse. (2. Significant predictors for postnatal depression: antenatal depression and a history of depression while also controlling for concurrent parenting stress, which was a significant variable. Antenatal depression was identified as a mediator between seven of the risk factors and postnatal depression. (3. Postnatal depression was the only significant predictor for parenting stress and also acted as a mediator

  5. Risk factors for antenatal depression, postnatal depression and parenting stress.

    Science.gov (United States)

    Leigh, Bronwyn; Milgrom, Jeannette

    2008-04-16

    Given that the prevalence of antenatal and postnatal depression is high, with estimates around 13%, and the consequences serious, efforts have been made to identify risk factors to assist in prevention, identification and treatment. Most risk factors associated with postnatal depression have been well researched, whereas predictors of antenatal depression have been less researched. Risk factors associated with early parenting stress have not been widely researched, despite the strong link with depression. The aim of this study was to further elucidate which of some previously identified risk factors are most predictive of three outcome measures: antenatal depression, postnatal depression and parenting stress and to examine the relationship between them. Primipara and multiparae women were recruited antenatally from two major hoitals as part of the beyondblue National Postnatal Depression Program 1. In this subsidiary study, 367 women completed an additional large battery of validated questionnaires to identify risk factors in the antenatal period at 26-32 weeks gestation. A subsample of these women (N = 161) also completed questionnaires at 10-12 weeks postnatally. Depression level was measured by the Beck Depression Inventory (BDI). Regression analyses identified significant risk factors for the three outcome measures. (1). Significant predictors for antenatal depression: low self-esteem, antenatal anxiety, low social support, negative cognitive style, major life events, low income and history of abuse. (2). Significant predictors for postnatal depression: antenatal depression and a history of depression while also controlling for concurrent parenting stress, which was a significant variable. Antenatal depression was identified as a mediator between seven of the risk factors and postnatal depression. (3). Postnatal depression was the only significant predictor for parenting stress and also acted as a mediator for other risk factors. Risk factor profiles for

  6. Emergence of depression following job loss prospectively predicts lower rates of reemployment.

    Science.gov (United States)

    Stolove, Catherine A; Galatzer-Levy, Isaac R; Bonanno, George A

    2017-07-01

    Job loss has been associated with the emergence of depression and subsequent long-term diminished labor market participation. In a sample of 500 adults who lost their jobs, trajectories of depression severity from four years before to four years after job loss were identified using Latent Growth Mixture Modeling. Rates of unemployment by trajectory were compared at two and four years following job loss. Four trajectories demonstrated optimal model fit including resilience (72%), chronic pre-to-post job loss depression (9%), emergent depression (10%), and remitting depression (9%). Logistic regression comparing reemployment status by class while controlling for age, gender, and education at two-years post job loss revealed no significant differences by class. An identical logistic regression on four-year reemployment revealed significant differences by class with post-hoc analyses revealing emergent depression resulting in a 33.3% reemployment rate compared to resilient individuals (60.4%) together indicating that depression affects reemployment rather than lack of reemployment causing the emergence of depression. The emergence of depression following job loss significantly increases the risk of continued unemployment. However, observed high rates of resilience with resulting downstream benefits in reemployment mitigates significant concern about the effects of wide spread unemployment on ongoing global economic recovery following the Great Recession. Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.

  7. [Psychosocial factors predicting postnatal anxiety symptoms and their relation to symptoms of postpartum depression].

    Science.gov (United States)

    Navarrete, Laura Elena; Lara-Cantú, María Asunción; Navarro, Claudia; Gómez, María Eugenia; Morales, Francisco

    2012-01-01

    To study perinatal anxiety symptoms in a sample of Mexican mothers. A) To evaluate the effect of certain psychosocial factors during pregnancy on anxiety symptoms at two postpartum time intervals; and B) to determine whether this symptomatology is related to symptoms of postnatal depression. In this secondary data analysis, 156 women were interviewed during pregnancy (T1): 149 were interviewed again at 6 weeks postpartum (T2) and 156 at 4-6 months postpartum (T3). Subjects were selected from women seeking prenatal attention at three health centers in Mexico City who presented with depressive symptomatology and/or previous history of depression. Two models were subjected to multivariate regression analysis to determine the influence of psychosocial factors in pregnancy (age, education, partner status, social support [APGAR], stress events, self-esteem [Coopersmith], depressive symptomatology [BDI-II], and anxiety [SCL-90]) on anxiety symptomatology (SCL-90) in T2 and T3. Two additional linear regression analyses were performed to evaluate the influence of prenatal anxiety symptomatology (SCL-90) on postpartum depression symptoms (BDI-II), one for each postnatal period (T2, T3). The variables that predicted postpartum anxiety symptomatology in T2 were anxiety symptoms and lack of social support; in T3 they were anxiety symptoms, lack of a partner, and lack of social support. Prenatal anxiety symptoms predicted postpartum depressive symptomatology at both postpartum intervals (T2, T3). Untreated prenatal anxiety symptomatology is predictive of symptoms of anxiety and depression in the postpartum period, suggesting the need for timely detection and treatment. Women lacking social support or partners are a population particularly vulnerable to anxiety symptoms, and merit interventions that address these issues.

  8. Depression and anxiety mediate perceived social support to predict health-related quality of life in pregnant women living with HIV.

    Science.gov (United States)

    Xiaowen, Wang; Guangping, Guo; Ling, Zhou; Jiarui, Zheng; Xiumin, Liang; Zhaoqin, Li; Hongzhuan, Luo; Yuyan, Yang; Liyuan, Yang; Lin, Lu

    2018-04-01

    Pregnant women living with HIV represent one of the most high-priority groups for HIV treatment and health assessment. Although social support has been shown to be a protective factor for improved health-related quality of life (HRQoL), and depression and anxiety have been identified as two major causes of psychological distress among people living with HIV, it is still unclear how social support, anxiety, and depression interact to influence HRQoL. The objective of our study was to demonstrate the nature of predictors, direct effects and mediator effects among social support, anxiety, depression symptoms and HRQoL in pregnant women living with HIV. We investigated a total of 101 pregnant women living with HIV in Yunnan province in China from April 2016 to June 2016. All participants completed the Social Support Rating Scale (SSRS), the Chinese version of the Hospital Anxiety and Depression Scales (HADS) and Quality of Life instruments (EuroQoL Five Dimensions Questionnaire, EQ-5D). The relationships between the variables were examined by Pearson's or Spearman's correlation analysis. Predictor effects were tested using separate multiple regressions, controlling for demographic variables and HIV diagnosis variables. Direct and mediation effects of social support on HRQoL were tested using a structural equation model (SEM). Anxiety and depression symptoms were negatively correlated with subjective social support, support utilization, social support and HRQoL. Social support significantly predicted better HRQoL, and anxiety and depression symptoms significantly predicted poorer HRQoL. Anxiety and depression symptoms partially mediated the associations between social support and HRQoL. Anxiety and depression symptoms completely mediated the associations of objective support and support utilization with HRQoL. Interventions to improve HRQoL in pregnant women living with HIV must consider the mediation effect of anxiety and depression symptoms on the association between

  9. Relationship between depression with FEV1 percent predicted and BODE index in chronic obstructive pulmonary disease

    Science.gov (United States)

    Gunawan, H.; Hanum, H.; Abidin, A.; Hanida, W.

    2018-03-01

    WHO reported more than 3 million people die from COPD in 2012 and are expected to rank third after cardiovascular and cancer diseases in the future. Recent studies reported the prevalence of depression in COPD patients was higher than in control group. So, it’s important for clinicians to understand the relationship of depression symptoms with clinical aspects of COPD. For determining the association of depression symptoms with lung function and BODE index in patients with stable COPD, a cross-sectional study was in 98 stable COPD outpatients from January to June 2017. Data were analyzed using Independent t-test, Mann-Whitney test, and Spearman’s rank correlation. COPD patients with depression had higher mMRC scores, and lower FEV1 percent predicted, and then 6-Minutes Walk Test compared to those without depression. There was a moderate strength of correlation (r=-0.43) between depression symptoms and FEV1 percent predicted, and strong correlation (r=0.614) between depression symptoms and BODE index. It indicates that BODE index is more accurate to describe symptoms of depression in COPD patients.

  10. Toward an online cognitive and emotional battery to predict treatment remission in depression

    Directory of Open Access Journals (Sweden)

    Gordon E

    2015-02-01

    Full Text Available Evian Gordon,1 A John Rush,2 Donna M Palmer,3,4 Taylor A Braund,3 William Rekshan1 1Brain Resource, San Francisco, CA, USA; 2Duke-NUS, Singapore; 3Brain Resource, Sydney, NSW, Australia; 4Brain Dynamics Center, Sydney Medical School – Westmead and Westmead Millennium Institute, The University of Sydney, Sydney, NSW, Australia Purpose: To evaluate the performance of a cognitive and emotional test battery in a representative sample of depressed outpatients to inform likelihood of remission over 8 weeks of treatment with each of three common antidepressant medications. Patients and methods: Outpatients 18–65 years old with nonpsychotic major depressive disorder (17 sites were randomized to escitalopram, sertraline or venlafaxine-XR (extended release. Participants scored ≥12 on the baseline 16-item Quick Inventory of Depressive Symptomatology – Self-Report and completed 8 weeks of treatment. The baseline test battery measured cognitive and emotional status. Exploratory multivariate logistic regression models predicting remission (16-item Quick Inventory of Depressive Symptomatology – Self-Report score ≤5 at 8 weeks were developed independently for each medication in subgroups stratified by age, sex, or cognitive and emotional test performance. The model with the highest cross-validated accuracy determined the participant proportion in each arm for whom remission could be predicted with an accuracy ≥10% above chance. The proportion for whom a prediction could be made with very high certainty (positive predictive value and negative predictive value exceeding 80% was calculated by incrementally increasing test battery thresholds to predict remission/non-remission. Results: The test battery, individually developed for each medication, improved identification of remitting and non-remitting participants by ≥10% beyond chance for 243 of 467 participants. The overall remission rates were escitalopram: 40.8%, sertraline: 30.3%, and

  11. Anhedonia Predicts Poorer Recovery among Youth with Selective Serotonin Reuptake Inhibitor Treatment-Resistant Depression

    Science.gov (United States)

    McMakin, Dana L.; Olino, Thomas M.; Porta, Giovanna; Dietz, Laura J.; Emslie, Graham; Clarke, Gregory; Wagner, Karen Dineen; Asarnow, Joan R.; Ryan, Neal D.; Birmaher, Boris; Shamseddeen, Wael; Mayes, Taryn; Kennard, Betsy; Spirito, Anthony; Keller, Martin; Lynch, Frances L.; Dickerson, John F.; Brent, David A.

    2012-01-01

    Objective: To identify symptom dimensions of depression that predict recovery among selective serotonin reuptake inhibitor (SSRI) treatment-resistant adolescents undergoing second-step treatment. Method: The Treatment of Resistant Depression in Adolescents (TORDIA) trial included 334 SSRI treatment-resistant youth randomized to a medication…

  12. Using the NANA toolkit at home to predict older adults' future depression.

    Science.gov (United States)

    Andrews, J A; Harrison, R F; Brown, L J E; MacLean, L M; Hwang, F; Smith, T; Williams, E A; Timon, C; Adlam, T; Khadra, H; Astell, A J

    2017-04-15

    Depression is currently underdiagnosed among older adults. As part of the Novel Assessment of Nutrition and Aging (NANA) validation study, 40 older adults self-reported their mood using a touchscreen computer over three, one-week periods. Here, we demonstrate the potential of these data to predict future depression status. We analysed data from the NANA validation study using a machine learning approach. We applied the least absolute shrinkage and selection operator with a logistic model to averages of six measures of mood, with depression status according to the Geriatric Depression Scale 10 weeks later as the outcome variable. We tested multiple values of the selection parameter in order to produce a model with low deviance. We used a cross-validation framework to avoid overspecialisation, and receiver operating characteristic (ROC) curve analysis to determine the quality of the fitted model. The model we report contained coefficients for two variables: sadness and tiredness, as well as a constant. The cross-validated area under the ROC curve for this model was 0.88 (CI: 0.69-0.97). While results are based on a small sample, the methodology for the selection of variables appears suitable for the problem at hand, suggesting promise for a wider study and ultimate deployment with older adults at increased risk of depression. We have identified self-reported scales of sadness and tiredness as sensitive measures which have the potential to predict future depression status in older adults, partially addressing the problem of underdiagnosis. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

  13. Selective neurocognitive deficits and poor life functioning are associated with significant depressive symptoms in alcoholism-HIV infection comorbidity.

    Science.gov (United States)

    Sassoon, Stephanie A; Rosenbloom, Margaret J; Fama, Rosemary; Sullivan, Edith V; Pfefferbaum, Adolf

    2012-09-30

    Alcoholism, HIV, and depressive symptoms frequently co-occur and are associated with impairment in cognition and life function. We administered the Beck Depression Inventory-II (BDI-II), measures of life function, and neurocognitive tests to 67 alcoholics, 56 HIV+ patients, 63 HIV+ alcoholics, and 64 controls to examine whether current depressive symptom level (significant, BDI-II>14 vs. minimal, BDI-IIalcoholism-HIV comorbidity. Participants with significant depressive symptoms demonstrated slower manual motor speed and poorer visuospatial memory than those with minimal depressive symptoms. HIV patients with depressive symptoms showed impaired manual motor speed. Alcoholics with depressive symptoms showed impaired visuospatial memory. HIV+ alcoholics with depressive symptoms reported the poorest quality of life; alcoholics with depressive symptoms, irrespective of HIV status, had poorest life functioning. Thus, significant depressive symptoms were associated with poorer selective cognitive and life functioning in alcoholism and in HIV infection, even though depressive symptoms had neither synergistic nor additive effects on cognition in alcoholism-HIV comorbidity. The results suggest the relevance of assessing and treating current depressive symptoms to reduce cognitive compromise and functional disability in HIV infection, alcoholism, and their comorbidity. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  14. Predicting Depression and Anxiety from Oppositional Defiant Disorder Symptoms in Elementary School-Age Girls and Boys with Conduct Problems.

    Science.gov (United States)

    Déry, Michèle; Lapalme, Mélanie; Jagiellowicz, Jadzia; Poirier, Martine; Temcheff, Caroline; Toupin, Jean

    2017-02-01

    This study investigated the relationship between the three DSM-5 categories of oppositional defiant disorder (ODD) symptoms (irritable mood, defiant behavior, vindictive behavior) and anxiety/depression in girls and boys with conduct problems (CP) while controlling for comorbid child psychopathology at baseline. Data were drawn from an ongoing longitudinal study of 6- to 9-year-old French-Canadian children (N = 276; 40.8 % girls) receiving special educational services for CP at school and followed for 2 years. Using linear regression analysis, the results showed that irritable mood symptoms predicted a higher level of depression and anxiety in girls and boys 2 years later, whereas the behavioral symptoms of ODD (e.g., defiant, vindictive symptoms) were linked to lower depression scores. The contribution of ODD symptoms to these predictions, while statistically significant, remained modest. The usefulness of ODD irritable symptoms as a marker for identifying girls and boys with CP who are more vulnerable to developing internalizing problems is discussed.

  15. [The bidirectional relationship between physical activity and sleep in depressed versus non-depressed individuals].

    Science.gov (United States)

    Oude Oosterik, N A M; Bouwmans, M E J; de Groot, I W; Bos, E H; de Jonge, P

    Sleep and physical activity are related, but the direction of this relationship is unclear and it is not known whether the direction differs in depressed and non-depressed persons. To study the bidirectional relationship between physical activity and sleep in daily life by making repeated measurements in depressed and non-depressed people. Every day for 30 consecutive days each depressed (N = 27) and non-depressed (N = 27) participant in our study had to complete an electronic questionnaire relating to subjective sleep quality and sleep duration and were required to wear an accelerometer that recorded physical activity. Multi-level analysis showed that an increase in subjective sleep duration resulted in a decrease in physical activity. The differences between individuals with regard to the direction and strength of this relationship were significant. Changes in physical activity did not predict changes in sleep quality or sleep duration. We did not find any differences in the relationships for depressed and non-depressed participants. Change in sleep duration predicts change in physical activity, although there was significant heterogeneity in the results for individuals. Our findings underline the importance of further research and of the development of interventions that are tailored to the precise needs of the individual patient.

  16. Semantic organizational strategy predicts verbal memory and remission rate of geriatric depression.

    Science.gov (United States)

    Morimoto, Sarah Shizuko; Gunning, Faith M; Kanellopoulos, Dora; Murphy, Christopher F; Klimstra, Sibel A; Kelly, Robert E; Alexopoulos, George S

    2012-05-01

    This study tests the hypothesis that the use of semantic organizational strategy during the free-recall phase of a verbal memory task predicts remission of geriatric depression. Sixty-five older patients with major depression participated in a 12-week escitalopram treatment trial. Neuropsychological performance was assessed at baseline after a 2-week drug washout period. The Hopkins Verbal Learning Test-Revised was used to assess verbal learning and memory. Remission was defined as a Hamilton Depression Rating Scale score of ≤ 7 for 2 consecutive weeks and no longer meeting the DSM-IV-TR criteria for major depression. The association between the number of clusters used at the final learning trial (trial 3) and remission was examined using Cox's proportional hazards survival analysis. The relationship between the number of clusters utilized in the final learning trial and the number of words recalled after a 25-min delay was examined in a regression with age and education as covariates. Higher number of clusters utilized predicted remission rates (hazard ratio, 1.26 (95% confidence interval, 1.04-1.54); χ(2)  = 4.23, df = 3, p = 0.04). There was a positive relationship between the total number of clusters used by the end of the third learning trial and the total number of words recalled at the delayed recall trial (F(3,58) = 7.93; p < 0.001). Effective semantic strategy use at baseline on a verbal list learning task by older depressed patients was associated with higher rates of remission with antidepressant treatment. This result provides support for previous findings indicating that measures of executive functioning at baseline are useful in predicting antidepressant response. Copyright © 2011 John Wiley & Sons, Ltd.

  17. A retrospective study of predictive factors for effective aripiprazole augmentation of antidepressant therapy in treatment-resistant depression

    Directory of Open Access Journals (Sweden)

    Sugawara H

    2016-05-01

    Full Text Available Hiroko Sugawara,1,2 Kaoru Sakamoto,1 Tsuyoto Harada,3 Satoru Shimizu,4 Jun Ishigooka1 1Department of Psychiatry, Tokyo Women’s Medical University, 2Support Center for Women Health Care Professionals and Researchers, Tokyo Women’s Medical University, Shinjuku-ku, 3Department of Psychiatry, Tokyo Women’s Medical University Medical Center East, Arakawa-ku, 4Department of Research, Medical Research Institute, Tokyo Women’s Medical University, Shinjuku-ku, Tokyo, Japan Background: Several studies have evaluated the efficacy and tolerability of aripiprazole for augmentation of antidepressant therapy for treatment-resistant depression (TRD. Here, we investigated the efficacy of aripiprazole augmentation for TRD including both major depressive disorder and bipolar disorder and the clinical predictors of treatment efficacy in a Japanese population.  Methods: Eighty-five depressed Japanese patients who underwent aripiprazole augmentation therapy after failing to respond satisfactorily to antidepressant monotherapy were included in the study. Treatment responses were evaluated based on Clinical Global Impression Improvement scores assessed 8 weeks after initiation of aripiprazole administration. We compared demographic and diagnostic variables, psychiatric medication variables, and clinical variables between remission and nonremission groups.  Results: The aripiprazole augmentation remission rate was 36.5%. Multiple logistic regression analysis indicated that aripiprazole augmentation was significantly more effective for bipolar depression than for major depressive disorder, and both absence of comorbid anxiety disorders and current episode duration >3 months were significantly associated with the efficacy of aripiprazole augmentation.  Conclusion: Polarity of depression, comorbidity of anxiety disorders, and current episode duration may predict the efficacy of aripiprazole augmentation for TRD including both major depressive disorder and

  18. Functional neuroimaging of psychotherapeutic processes in anxiety and depression: from mechanisms to predictions.

    Science.gov (United States)

    Lueken, Ulrike; Hahn, Tim

    2016-01-01

    The review provides an update of functional neuroimaging studies that identify neural processes underlying psychotherapy and predict outcomes following psychotherapeutic treatment in anxiety and depressive disorders. Following current developments in this field, studies were classified as 'mechanistic' or 'predictor' studies (i.e., informing neurobiological models about putative mechanisms versus aiming to provide predictive information). Mechanistic evidence points toward a dual-process model of psychotherapy in anxiety disorders with abnormally increased limbic activation being decreased, while prefrontal activity is increased. Partly overlapping findings are reported for depression, albeit with a stronger focus on prefrontal activation following treatment. No studies directly comparing neural pathways of psychotherapy between anxiety and depression were detected. Consensus is accumulating for an overarching role of the anterior cingulate cortex in modulating treatment response across disorders. When aiming to quantify clinical utility, the need for single-subject predictions is increasingly recognized and predictions based on machine learning approaches show high translational potential. Present findings encourage the search for predictors providing clinically meaningful information for single patients. However, independent validation as a crucial prerequisite for clinical use is still needed. Identifying nonresponders a priori creates the need for alternative treatment options that can be developed based on an improved understanding of those neural mechanisms underlying effective interventions.

  19. Predicting short term mood developments among depressed patients using adherence and ecological momentary assessment data

    Directory of Open Access Journals (Sweden)

    Adam Mikus

    2018-06-01

    Full Text Available Technology driven interventions provide us with an increasing amount of fine-grained data about the patient. This data includes regular ecological momentary assessments (EMA but also response times to EMA questions by a user. When observing this data, we see a huge variation between the patterns exhibited by different patients. Some are more stable while others vary a lot over time. This poses a challenging problem for the domain of artificial intelligence and makes on wondering whether it is possible to predict the future mental state of a patient using the data that is available. In the end, these predictions could potentially contribute to interventions that tailor the feedback to the user on a daily basis, for example by warning a user that a fall-back might be expected during the next days, or by applying a strategy to prevent the fall-back from occurring in the first place.In this work, we focus on short term mood prediction by considering the adherence and usage data as an additional predictor. We apply recurrent neural networks to handle the temporal aspects best and try to explore whether individual, group level, or one single predictive model provides the highest predictive performance (measured using the root mean squared error (RMSE. We use data collected from patients from five countries who used the ICT4Depression/MoodBuster platform in the context of the EU E-COMPARED project. In total, we used the data from 143 patients (with between 9 and 425days of EMA data who were diagnosed with a major depressive disorder according to DSM-IV.Results show that we can make predictions of short term mood change quite accurate (ranging between 0.065 and 0.11. The past EMA mood ratings proved to be the most influential while adherence and usage data did not improve prediction accuracy. In general, group level predictions proved to be the most promising, however differences were not significant.Short term mood prediction remains a difficult task

  20. Information processing biases concurrently and prospectively predict depressive symptoms in adolescents: Evidence from a self-referent encoding task.

    Science.gov (United States)

    Connolly, Samantha L; Abramson, Lyn Y; Alloy, Lauren B

    2016-01-01

    Negative information processing biases have been hypothesised to serve as precursors for the development of depression. The current study examined negative self-referent information processing and depressive symptoms in a community sample of adolescents (N = 291, Mage at baseline = 12.34 ± 0.61, 53% female, 47.4% African-American, 49.5% Caucasian and 3.1% Biracial). Participants completed a computerised self-referent encoding task (SRET) and a measure of depressive symptoms at baseline and completed an additional measure of depressive symptoms nine months later. Several negative information processing biases on the SRET were associated with concurrent depressive symptoms and predicted increases in depressive symptoms at follow-up. Findings partially support the hypothesis that negative information processing biases are associated with depressive symptoms in a nonclinical sample of adolescents, and provide preliminary evidence that these biases prospectively predict increases in depressive symptoms.

  1. Respiratory sinus arrhythmia reactivity to a sad film predicts depression symptom improvement and symptomatic trajectory.

    Science.gov (United States)

    Panaite, Vanessa; Hindash, Alexandra Cowden; Bylsma, Lauren M; Small, Brent J; Salomon, Kristen; Rottenberg, Jonathan

    2016-01-01

    Respiratory sinus arrhythmia (RSA) reactivity, an index of cardiac vagal tone, has been linked to self-regulation and the severity and course of depression (Rottenberg, 2007). Although initial data supports the proposition that RSA withdrawal during a sad film is a specific predictor of depression course (Fraguas, 2007; Rottenberg, 2005), the robustness and specificity of this finding are unclear. To provide a stronger test, RSA reactivity to three emotion films (happy, sad, fear) and to a more robust stressor, a speech task, were examined in currently depressed individuals (n=37), who were assessed for their degree of symptomatic improvement over 30weeks. Robust RSA reactivity to the sad film uniquely predicted overall symptom improvement over 30weeks. RSA reactivity to both sad and stressful stimuli predicted the speed and maintenance of symptomatic improvement. The current analyses provide the most robust support to date that RSA withdrawal to sad stimuli (but not stressful) has specificity in predicting the overall symptomatic improvement. In contrast, RSA reactivity to negative stimuli (both sad and stressful) predicted the trajectory of depression course. Patients' engagement with sad stimuli may be an important sign to attend to in therapeutic settings. Copyright © 2015 Elsevier B.V. All rights reserved.

  2. Elevated alanine aminotransferase independently predicts new onset of depression in employees undergoing health screening examinations.

    Science.gov (United States)

    Zelber-Sagi, S; Toker, S; Armon, G; Melamed, S; Berliner, S; Shapira, I; Halpern, Z; Santo, E; Shibolet, O

    2013-12-01

    Non-alcoholic fatty liver disease (NAFLD) is the most common cause of elevated alanine aminotransferase (ALT). NAFLD is associated with insulin resistance and hepatic inflammation. Similarly, patients with depression exhibit insulin resistance and increased inflammatory markers. However, no study has shown a clear association between elevated ALT and the development of depression. The aim of the study was to test whether elevated ALT, a surrogate marker for NAFLD, predicts the development of depression. The present prospective cohort study investigated 12 180 employed adults referred for health examinations that included fasting blood tests and anthropometric measurements between 2003 and 2010. Exclusion criteria were: baseline minor/major depression, excessive alcohol consumption and other causes for ALT elevation. Depression was evaluated by the eight-item Patient Health Questionnaire (PHQ-8) score. The final cohort included 5984 subjects [69.4% men, aged 45.0 (s.d. = 10.24) years]. The incidence rate of minor and major depression was 3.8% and 1.4%, respectively. Elevated ALT was a significant independent predictor for the occurrence of minor [odds ratio (OR) 2.02, 95% confidence interval (CI) 1.40-2.92] and major (OR 3.132, 95% CI 1.81-5.40) depression after adjusting for age, gender, body mass index, education level, serum levels of lipids, glucose, smoking and physical activity. Adding subjective health and affective state parameters (sleep disturbances, self-rated health, anxiety and burnout) as potential mediators only slightly ameliorated the association. Persistently elevated ALT was associated with the greatest risk for minor or major depression as compared with elevation only at baseline or follow-up (p for trend depressive symptoms, thus suggesting that NAFLD may represent an independent modifiable risk factor for depression.

  3. Predicting Depression with Psychopathology and Temperament Traits: The Northern Finland 1966 Birth Cohort

    Directory of Open Access Journals (Sweden)

    Jouko Miettunen

    2012-01-01

    Full Text Available We studied the concurrent, predictive, and discriminate validity of psychopathology scales (e.g., schizotypal and depressive and temperament traits for hospitalisations due to major depression. Temperament, perceptual aberration, physical and social anhedonia, Depression Subscale of Symptom Checklist (SCL-D, Hypomanic Personality Scale, Schizoidia Scale, and Bipolar II Scale were completed as part of the 31-year follow-up survey of the prospective Northern Finland 1966 Birth Cohort (n=4941; 2214 males. Several of the scales were related to depression. Concurrent depression was especially related to higher perceptual aberration (effect size when compared to controls, d=1.29, subsequent depression to high scores in SCL-D (d=0.48. Physical anhedonia was lower in subjects with subsequent depression than those with other psychiatric disorders (d=−0.33, nonsignificant. Participants with concurrent (d=0.70 and subsequent (d=0.54 depression had high harm avoidance compared to controls, while differences compared to other psychiatric patients were small. Subjects with depression differed from healthy controls in most of the scales. Many of the scales were useful predictors for future hospital treatments, but were not diagnosis-specific. High harm avoidance is a potential indicator for subsequent depression.

  4. Prognostic significance of functional somatic symptoms in adolescence: a 15-year community-based follow-up study of adolescents with depression compared with healthy peers

    Directory of Open Access Journals (Sweden)

    Bohman Hannes

    2012-07-01

    Full Text Available Abstract Background There is a lack of population-based long-term longitudinal research on mental health status and functional physical/somatic symptoms. Little is known about the long-term mental health outcomes associated with somatic symptoms or the temporal relationship between depression and such symptoms. This 15-year study followed up adolescents with depression and matched controls, screened from a population-based sample, who reported different numbers of somatic symptoms. Methods The total population of 16–17-year-olds in Uppsala, Sweden, was screened for depression in 1991–1993. Adolescents who screened positive and an equal number of healthy controls took part in a semi-structured diagnostic interview. In addition, 21 different self-rated somatic symptoms were assessed. Sixty-four percent of those adolescents participated in a follow-up structured interview 15 years later. Results Somatic symptoms in adolescence predicted depression and other adult mental disorders regardless of the presence of adolescent depression. In adolescents with depression, the number of functional somatic symptoms predicted, in a dose response relationship, suicidal behavior, bipolar episodes, and psychotic episodes as well as chronic and recurrent depression. Contrary to expectations, the somatic symptoms of abdominal pain and perspiration without exertion better predicted depression than all DSM-IV depressive symptoms. Abdominal pain persisted as an independent strong predictor of depression and anxiety, even after controlling for other important confounders. Conclusions Somatic symptoms in adolescence can predict severe adult mental health disorders. The number of somatic symptoms concurrent with adolescent depression is, in a stepwise manner, linked to suicidal attempts, bipolar disorders, psychotic disorders, and recurrent and chronic depression. These findings can be useful in developing treatment guidelines for patients with somatic symptoms.

  5. Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression.

    Directory of Open Access Journals (Sweden)

    Kosuke Yoshida

    Full Text Available In diagnostic applications of statistical machine learning methods to brain imaging data, common problems include data high-dimensionality and co-linearity, which often cause over-fitting and instability. To overcome these problems, we applied partial least squares (PLS regression to resting-state functional magnetic resonance imaging (rs-fMRI data, creating a low-dimensional representation that relates symptoms to brain activity and that predicts clinical measures. Our experimental results, based upon data from clinically depressed patients and healthy controls, demonstrated that PLS and its kernel variants provided significantly better prediction of clinical measures than ordinary linear regression. Subsequent classification using predicted clinical scores distinguished depressed patients from healthy controls with 80% accuracy. Moreover, loading vectors for latent variables enabled us to identify brain regions relevant to depression, including the default mode network, the right superior frontal gyrus, and the superior motor area.

  6. A prediction algorithm for first onset of major depression in the general population: development and validation.

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    Wang, JianLi; Sareen, Jitender; Patten, Scott; Bolton, James; Schmitz, Norbert; Birney, Arden

    2014-05-01

    Prediction algorithms are useful for making clinical decisions and for population health planning. However, such prediction algorithms for first onset of major depression do not exist. The objective of this study was to develop and validate a prediction algorithm for first onset of major depression in the general population. Longitudinal study design with approximate 3-year follow-up. The study was based on data from a nationally representative sample of the US general population. A total of 28 059 individuals who participated in Waves 1 and 2 of the US National Epidemiologic Survey on Alcohol and Related Conditions and who had not had major depression at Wave 1 were included. The prediction algorithm was developed using logistic regression modelling in 21 813 participants from three census regions. The algorithm was validated in participants from the 4th census region (n=6246). Major depression occurred since Wave 1 of the National Epidemiologic Survey on Alcohol and Related Conditions, assessed by the Alcohol Use Disorder and Associated Disabilities Interview Schedule-diagnostic and statistical manual for mental disorders IV. A prediction algorithm containing 17 unique risk factors was developed. The algorithm had good discriminative power (C statistics=0.7538, 95% CI 0.7378 to 0.7699) and excellent calibration (F-adjusted test=1.00, p=0.448) with the weighted data. In the validation sample, the algorithm had a C statistic of 0.7259 and excellent calibration (Hosmer-Lemeshow χ(2)=3.41, p=0.906). The developed prediction algorithm has good discrimination and calibration capacity. It can be used by clinicians, mental health policy-makers and service planners and the general public to predict future risk of having major depression. The application of the algorithm may lead to increased personalisation of treatment, better clinical decisions and more optimal mental health service planning.

  7. Mothers' Depressive Symptoms and Children's Cognitive and Social Agency: Predicting First-Grade Cognitive Functioning

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    Yan, Ni; Dix, Theodore

    2016-01-01

    Using data from the National Institute of Child Health and Human Development (NICHD) Study of Early Child Care and Youth Development (N = 1,364), the present study supports an agentic perspective; it demonstrates that mothers' depressive symptoms in infancy predict children's poor first-grade cognitive functioning because depressive symptoms…

  8. Contingent self-esteem and vulnerability to depression: academic contingent self-esteem predicts depressive symptoms in students.

    Science.gov (United States)

    Schöne, Claudia; Tandler, Sarah S; Stiensmeier-Pelster, Joachim

    2015-01-01

    Low self-esteem has been established as a vulnerability factor for depression. In line with recent research, we suggest that a full understanding of the role of self-esteem in depression requires consideration of contingent self-esteem as well. For most people, competence is an important source of self-esteem. Students in particular link their self-esteem to academic competence. To test the hypothesis that academic contingent self-esteem (aCSE) predicts depressive symptoms (DS), two studies were conducted. Preceding the investigation of our hypothesis, the first purpose of Study 1 was to describe the development of aCSE, self-esteem (SE) level, and DS in adolescence in a sample of German students aged 10-16 (N = 1888) in order to provide a foundation for further analyses. Then, to address the main question, age and gender differences in aCSE, SE level, and DS as well as their relations were investigated. The results show that (1) gender differences emerged after the age of 10/11. Girls scored higher on aCSE and DS and lower on SE level than did boys, and aCSE and DS decreased and SE level increased over time in boys, while the rather disadvantageous pattern in girls remained stable. (2) After controlling for SE level and aCSE, the effects of gender and age × gender interaction on DS disappeared, suggesting an influence of aCSE on DS. (3) aCSE predicted DS over and above SE level. Since the results of Study 1 did not allow for causal conclusions, a longitudinal study (N = 160) was conducted to further investigate the causal role of aCSE. According to the diathesis-stress model, aCSE was expected to serve as a diathesis for developing DS in the face of academic stress (daily hassles) during an academic semester at university. The results of Study 2 revealed that aCSE interacted with corresponding hassles to predict increases in DS. High levels of academic stress led to increases in DS only among students who strongly based their SE on academic competence

  9. Contingent self-esteem and vulnerability to depression: academic contingent self-esteem predicts depressive symptoms in students

    Science.gov (United States)

    Schöne, Claudia; Tandler, Sarah S.; Stiensmeier-Pelster, Joachim

    2015-01-01

    Low self-esteem has been established as a vulnerability factor for depression. In line with recent research, we suggest that a full understanding of the role of self-esteem in depression requires consideration of contingent self-esteem as well. For most people, competence is an important source of self-esteem. Students in particular link their self-esteem to academic competence. To test the hypothesis that academic contingent self-esteem (aCSE) predicts depressive symptoms (DS), two studies were conducted. Preceding the investigation of our hypothesis, the first purpose of Study 1 was to describe the development of aCSE, self-esteem (SE) level, and DS in adolescence in a sample of German students aged 10–16 (N = 1888) in order to provide a foundation for further analyses. Then, to address the main question, age and gender differences in aCSE, SE level, and DS as well as their relations were investigated. The results show that (1) gender differences emerged after the age of 10/11. Girls scored higher on aCSE and DS and lower on SE level than did boys, and aCSE and DS decreased and SE level increased over time in boys, while the rather disadvantageous pattern in girls remained stable. (2) After controlling for SE level and aCSE, the effects of gender and age × gender interaction on DS disappeared, suggesting an influence of aCSE on DS. (3) aCSE predicted DS over and above SE level. Since the results of Study 1 did not allow for causal conclusions, a longitudinal study (N = 160) was conducted to further investigate the causal role of aCSE. According to the diathesis-stress model, aCSE was expected to serve as a diathesis for developing DS in the face of academic stress (daily hassles) during an academic semester at university. The results of Study 2 revealed that aCSE interacted with corresponding hassles to predict increases in DS. High levels of academic stress led to increases in DS only among students who strongly based their SE on academic competence

  10. Autonomous and controlled motivation and interpersonal therapy for depression: moderating role of recurrent depression.

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    McBride, Carolina; Zuroff, David C; Ravitz, Paula; Koestner, Richard; Moskowitz, Debbie S; Quilty, Lena; Bagby, R Michael

    2010-11-01

    We examined the moderating role of depression recurrence on the relation between autonomous and controlled motivation and interpersonal therapy (IPT) treatment outcome. The investigation was conducted in an out-patient mood disorders clinic of a large university-affiliated psychiatric hospital. The sample represents a subset of a larger naturalistic database of patients seen in the clinic. We examined 74 depressed out-patients who received 16 sessions of IPT. The Beck Depression Inventory-II, administered at pre-treatment and post-treatment, served as a measure of depressive severity. Measures of motivation and therapeutic alliance were collected at the third session. In the entire sample, both the therapeutic alliance and autonomous motivation predicted higher probability of achieving remission; however, the relation differed for those with highly recurrent depression compared to those with less recurrent depression. For those with highly recurrent depression, the therapeutic alliance predicted remission whereas autonomous motivation had no effect on remission. For those with less recurrent depression, both autonomous motivation and the therapeutic alliance predicted better achieving remission. Controlled motivation emerged as a significant negative predictor of remission across both groups. Taken together, these results highlight the possible use of motivation theory to inform and enrich therapeutic conceptualizations and interventions in clinical practice, but also point to the importance of modifying interventions based on the chronicity of a client's depression.

  11. SNP-based heritability estimates of the personality dimensions and polygenic prediction of both neuroticism and major depression: findings from CONVERGE.

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    Docherty, A R; Moscati, A; Peterson, R; Edwards, A C; Adkins, D E; Bacanu, S A; Bigdeli, T B; Webb, B T; Flint, J; Kendler, K S

    2016-10-25

    Biometrical genetic studies suggest that the personality dimensions, including neuroticism, are moderately heritable (~0.4 to 0.6). Quantitative analyses that aggregate the effects of many common variants have recently further informed genetic research on European samples. However, there has been limited research to date on non-European populations. This study examined the personality dimensions in a large sample of Han Chinese descent (N=10 064) from the China, Oxford, and VCU Experimental Research on Genetic Epidemiology study, aimed at identifying genetic risk factors for recurrent major depression among a rigorously ascertained cohort. Heritability of neuroticism as measured by the Eysenck Personality Questionnaire (EPQ) was estimated to be low but statistically significant at 10% (s.e.=0.03, P=0.0001). In addition to EPQ, neuroticism based on a three-factor model, data for the Big Five (BF) personality dimensions (neuroticism, openness, conscientiousness, extraversion and agreeableness) measured by the Big Five Inventory were available for controls (n=5596). Heritability estimates of the BF were not statistically significant despite high power (>0.85) to detect heritabilities of 0.10. Polygenic risk scores constructed by best linear unbiased prediction weights applied to split-half samples failed to significantly predict any of the personality traits, but polygenic risk for neuroticism, calculated with LDpred and based on predictive variants previously identified from European populations (N=171 911), significantly predicted major depressive disorder case-control status (P=0.0004) after false discovery rate correction. The scores also significantly predicted EPQ neuroticism (P=6.3 × 10 -6 ). Factor analytic results of the measures indicated that any differences in heritabilities across samples may be due to genetic variation or variation in haplotype structure between samples, rather than measurement non-invariance. Findings demonstrate that neuroticism

  12. Predicting therapy success for treatment as usual and blended treatment in the domain of depression.

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    van Breda, Ward; Bremer, Vincent; Becker, Dennis; Hoogendoorn, Mark; Funk, Burkhardt; Ruwaard, Jeroen; Riper, Heleen

    2018-06-01

    In this paper, we explore the potential of predicting therapy success for patients in mental health care. Such predictions can eventually improve the process of matching effective therapy types to individuals. In the EU project E-COMPARED, a variety of information is gathered about patients suffering from depression. We use this data, where 276 patients received treatment as usual and 227 received blended treatment, to investigate to what extent we are able to predict therapy success. We utilize different encoding strategies for preprocessing, varying feature selection techniques, and different statistical procedures for this purpose. Significant predictive power is found with average AUC values up to 0.7628 for treatment as usual and 0.7765 for blended treatment. Adding daily assessment data for blended treatment does currently not add predictive accuracy. Cost effectiveness analysis is needed to determine the added potential for real-world applications.

  13. Overgeneral autobiographical memory as a predictor of the course of depression: a meta-analysis.

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    Sumner, Jennifer A; Griffith, James W; Mineka, Susan

    2010-07-01

    Overgeneral autobiographical memory (OGM) is a robust phenomenon in depression, but the extent to which OGM predicts the course of depression is not well-established. This meta-analysis synthesized data from 15 studies to examine the degree to which OGM 1) correlates with depressive symptoms at follow-up, and 2) predicts depressive symptoms at follow-up over and above initial depressive symptoms. Although the effects are small, specific and categoric/overgeneral memories generated during the Autobiographical Memory Test significantly predicted the course of depression. Fewer specific memories and more categoric/overgeneral memories were associated with higher follow-up depressive symptoms, and predicted higher follow-up symptoms over and above initial symptoms. Potential moderators were also examined. The age and clinical depression status of participants, as well as the length of follow-up between the two depressive symptom assessments, significantly moderated the predictive relationship between OGM and the course of depression. The predictive relationship between specific memories and follow-up depressive symptoms became greater with increasing age and a shorter length of follow-up, and the predictive relationship was stronger for participants with clinical depression diagnoses than for nonclinical participants. These findings highlight OGM as a predictor of the course of depression, and future studies should investigate the mechanisms underlying this relationship. Copyright 2010 Elsevier Ltd. All rights reserved.

  14. Testing a Theoretical Model Predicting Uncertainty and Depression in Patients Undergoing Renal Replacement Therapy in Korea

    Directory of Open Access Journals (Sweden)

    Heeyoung Lee, PhD, APRN

    2008-06-01

    Conclusion: The effectiveness of social support in relieving experiences of uncertainty and consequently depression was shown in this study. Moreover, depression in this population could be predicted by direct social support, economic status, and frequency of admission. The study was needed to investigate the relationship between depression and experiences of uncertainty with time covariates, as well as to find the factors that influence depression in patients with chronic renal failure.

  15. Personality traits predict job stress, depression and anxiety among junior physicians.

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    Gramstad, Thomas Olsen; Gjestad, Rolf; Haver, Brit

    2013-11-09

    High levels of stress and deteriorating mental health among medical students are commonly reported. In Bergen, Norway, we explored the impact of personality traits measured early in their curriculum on stress reactions and levels of depression and anxiety symptoms as junior physicians following graduation. Medical students (n = 201) from two classes participated in a study on personality traits and mental health early in the curriculum. A questionnaire measuring personality traits (Basic Character Inventory (BCI)) was used during their third undergraduate year. BCI assesses four personality traits: neuroticism, extroversion, conscientiousness and reality weakness. Questionnaires measuring mental health (Hospital Anxiety and Depression Scale (HADS) and Symptom Checklist 25 (SCL-25)), and stress (Perceived Medical School Stress (PMSS)) were used during their third and sixth undergraduate year. During postgraduate internship, Cooper's Job Stress Questionnaire (CJSQ) was used to measure perceived job stress, while mental health and stress reactions were reassessed using HADS and SCL-25. Extroversion had the highest mean value (5.11) among the total group of participants, while reality weakness had the lowest (1.51). Neuroticism and reality weakness were related to high levels of perceived job stress (neuroticism r = .19, reality weakness r = .17) as well as higher levels of anxiety symptoms (neuroticism r = .23, reality weakness r = .33) and symptoms of depression (neuroticism r = .21, reality weakness r = .36) during internship. Neuroticism indirectly predicted stress reactions and levels of depression and anxiety symptoms. These relations were mediated by perceived job stress, while reality weakness predicted these mental health measures directly. Extroversion, on the other hand, protected against symptoms of depression (r = -.20). Furthermore, females reported higher levels of job stress than males (difference = 7.52). Certain personality traits measured early in

  16. Can Insomnia in Pregnancy Predict Postpartum Depression? A Longitudinal, Population-Based Study

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    Dørheim, Signe K.; Bjorvatn, Bjørn; Eberhard-Gran, Malin

    2014-01-01

    Background Insomnia and depression are strongly interrelated. This study aimed to describe changes in sleep across childbirth, and to evaluate whether insomnia in pregnancy is a predictor of postpartum depression. Methods A longitudinal, population-based study was conducted among perinatal women giving birth at Akershus University Hospital, Norway. Women received questionnaires in weeks 17 and 32 of pregnancy and eight weeks postpartum. This paper presents data from 2,088 of 4,662 women with complete data for insomnia and depression in week 32 of pregnancy and eight weeks postpartum. Sleep times, wake-up times and average sleep durations were self-reported. The Bergen Insomnia Scale (BIS) was used to measure insomnia. The Edinburgh Postnatal Depression Scale (EPDS) was used to measure depressive symptoms. Results After delivery, sleep duration was reduced by 49 minutes (to 6.5 hours), and mean sleep efficiency was reduced from 84% to 75%. However, self-reported insomnia scores (BIS) improved from 17.2 to 15.4, and the reported prevalence of insomnia decreased from 61.6% to 53.8%. High EPDS scores and anxiety in pregnancy, fear of delivery, previous depression, primiparity, and higher educational level were risk factors for both postpartum insomnia and depression. Insomnia did not predict postpartum depression in women with no prior history of depression, whereas women who recovered from depression had residual insomnia. Limitations Depression and insomnia were not verified by clinical interviews. Women with depressive symptoms were less likely to remain in the study. Conclusions Although women slept fewer hours at night after delivery compared to during late pregnancy, and reported more nights with nighttime awakenings, their self-reported insomnia scores improved, and the prevalence of insomnia according to the DSM-IV criteria decreased. Insomnia in pregnancy may be a marker for postpartum recurrence of depression among women with previous depression. PMID

  17. Association between obesity and depressive disorder in adolescents at high risk for depression.

    Science.gov (United States)

    Hammerton, G; Thapar, A; Thapar, A K

    2014-04-01

    To examine the relationship between Body Mass Index (BMI) and depressive disorder in adolescents at high risk for depression. Prospective longitudinal 3-wave study of offspring of parents with recurrent depression. Replication in population-based cohort study. Three hundred and thirty-seven families where offspring were aged 9-17 years at baseline and 10-19 years at the final data point. Replication sample of adolescents from population-based cohort study aged 11-13 years at first assessment and 14-17 years at follow-up. High risk sample used BMI, skin-fold thickness, Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV)-defined major depressive disorder and depression symptoms using the Child and Adolescent Psychiatric Assessment (CAPA). Replication sample used BMI, DSM-IV depressive disorder and depression symptoms using the Development and Well-Being Assessment (DAWBA). Two hundred and eighty-nine adolescents were included in the primary analyses. The mean BMI for each age group in this sample were significantly higher than population norms. There was no significant longitudinal association between categories of weight (or BMI) and new onset depressive disorder or depression symptoms. Similar results were found for skin-fold thickness. The association was also tested in a replication population-based sample and found to be non-significant in the subsample of offspring with mothers who had experienced recurrent depression in the past. BMI at age 12 years was, however, a significant predictor of depression symptoms but not of depressive disorder at age 15 years for the total unselected population. BMI does not significantly predict the development of depression in the offspring of parents with recurrent depression.

  18. The combined effects of self-referent information processing and ruminative responses on adolescent depression.

    Science.gov (United States)

    Black, Stephanie Winkeljohn; Pössel, Patrick

    2013-08-01

    Adolescents who develop depression have worse interpersonal and affective experiences and are more likely to develop substance problems and/or suicidal ideation compared to adolescents who do not develop depression. This study examined the combined effects of negative self-referent information processing and rumination (i.e., brooding and reflection) on adolescent depressive symptoms. It was hypothesized that the interaction of negative self-referent information processing and brooding would significantly predict depressive symptoms, while the interaction of negative self-referent information processing and reflection would not predict depressive symptoms. Adolescents (n = 92; 13-15 years; 34.7% female) participated in a 6-month longitudinal study. Self-report instruments measured depressive symptoms and rumination; a cognitive task measured information processing. Path modelling in Amos 19.0 analyzed the data. The interaction of negative information processing and brooding significantly predicted an increase in depressive symptoms 6 months later. The interaction of negative information processing and reflection did not significantly predict depression, however, the model not meet a priori standards to accept the null hypothesis. Results suggest clinicians working with adolescents at-risk for depression should consider focusing on the reduction of brooding and negative information processing to reduce long-term depressive symptoms.

  19. Overgeneral autobiographical memory predicts higher prospective levels of depressive symptoms and intrusions in borderline patients.

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    Van den Broeck, Kris; Pieters, Guido; Claes, Laurence; Berens, Ann; Raes, Filip

    2016-11-01

    Overgeneral memory (OGM), the tendency to retrieve categories of events from autobiographical memory instead of single events, is found to be a reliable predictor for future mood disturbances and post-traumatic symptom severity. Patients with borderline personality disorder (BPD) often report co-morbid episodes of major depressive disorder (MDD) and post-traumatic stress disorder (PTSD). Therefore, we investigated whether OGM would predict depression severity and (post-traumatic) stress symptoms in BPD patients. At admission (N = 54) and at six-month follow-up (N ≥ 31), BPD patients completed the Structured Clinical Interview for DSM-IV Disorders, the Assessment of DSM-IV Personality Disorders, the Autobiographical Memory Test, the Beck Depression Inventory-2nd edition (BDI-II), and the Impact of Event Scale. OGM at baseline predicted (a) higher levels of depressive symptoms at follow-up and (b) more intrusions related to a stressful event over and above baseline levels of borderline symptoms, depressive symptoms, and intrusions, respectively. No association was found between memory specificity and event-related avoidance at follow-up. Despite previous findings suggesting that OGM in BPD is less robust than in MDD and PTSD, our results suggest that memory specificity in BPD patients may have some relevance for the course of depressive and stress symptomatology in BPD.

  20. Moderation of the Relationship Between Reward Expectancy and Prediction Error-Related Ventral Striatal Reactivity by Anhedonia in Unmedicated Major Depressive Disorder: Findings From the EMBARC Study.

    Science.gov (United States)

    Greenberg, Tsafrir; Chase, Henry W; Almeida, Jorge R; Stiffler, Richelle; Zevallos, Carlos R; Aslam, Haris A; Deckersbach, Thilo; Weyandt, Sarah; Cooper, Crystal; Toups, Marisa; Carmody, Thomas; Kurian, Benji; Peltier, Scott; Adams, Phillip; McInnis, Melvin G; Oquendo, Maria A; McGrath, Patrick J; Fava, Maurizio; Weissman, Myrna; Parsey, Ramin; Trivedi, Madhukar H; Phillips, Mary L

    2015-09-01

    Anhedonia, disrupted reward processing, is a core symptom of major depressive disorder. Recent findings demonstrate altered reward-related ventral striatal reactivity in depressed individuals, but the extent to which this is specific to anhedonia remains poorly understood. The authors examined the effect of anhedonia on reward expectancy (expected outcome value) and prediction error- (discrepancy between expected and actual outcome) related ventral striatal reactivity, as well as the relationship between these measures. A total of 148 unmedicated individuals with major depressive disorder and 31 healthy comparison individuals recruited for the multisite EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care) study underwent functional MRI during a well-validated reward task. Region of interest and whole-brain data were examined in the first- (N=78) and second- (N=70) recruited cohorts, as well as the total sample, of depressed individuals, and in healthy individuals. Healthy, but not depressed, individuals showed a significant inverse relationship between reward expectancy and prediction error-related right ventral striatal reactivity. Across all participants, and in depressed individuals only, greater anhedonia severity was associated with a reduced reward expectancy-prediction error inverse relationship, even after controlling for other symptoms. The normal reward expectancy and prediction error-related ventral striatal reactivity inverse relationship concords with conditioning models, predicting a shift in ventral striatal responding from reward outcomes to reward cues. This study shows, for the first time, an absence of this relationship in two cohorts of unmedicated depressed individuals and a moderation of this relationship by anhedonia, suggesting reduced reward-contingency learning with greater anhedonia. These findings help elucidate neural mechanisms of anhedonia, as a step toward identifying potential biosignatures

  1. Sleep problems predict comorbid externalizing behaviors and depression in young adolescents with attention-deficit/hyperactivity disorder.

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    Becker, Stephen P; Langberg, Joshua M; Evans, Steven W

    2015-08-01

    Children and adolescents with attention-deficit/hyperactivity disorder (ADHD) experience high rates of sleep problems and are also at increased risk for experiencing comorbid mental health problems. This study provides an initial examination of the 1-year prospective association between sleep problems and comorbid symptoms in youth diagnosed with ADHD. Participants were 81 young adolescents (75 % male) carefully diagnosed with ADHD and their parents. Parents completed measures of their child's sleep problems and ADHD symptoms, oppositional defiant disorder (ODD) symptoms, and general externalizing behavior problems at baseline (M age = 12.2) and externalizing behaviors were assessed again 1 year later. Adolescents completed measures of anxiety and depression at both time-points. Medication use was not associated with sleep problems or comorbid psychopathology symptoms. Regression analyses indicated that, above and beyond demographic characteristics, ADHD symptom severity, and initial levels of comorbidity, sleep problems significantly predicted greater ODD symptoms, general externalizing behavior problems, and depressive symptoms 1 year later. Sleep problems were not concurrently or prospectively associated with anxiety. Although this study precludes making causal inferences, it does nonetheless provide initial evidence of sleep problems predicting later comorbid externalizing behaviors and depression symptoms in youth with ADHD. Additional research is needed with larger samples and multiple time-points to further examine the interrelations of sleep problems and comorbidity.

  2. Sleep duration, but not insomnia, predicts the 2-year course of depressive and anxiety disorders

    NARCIS (Netherlands)

    van Mill, Josine G; Vogelzangs, Nicole; van Someren, Eus J W; Hoogendijk, Witte J G; Penninx, Brenda W J H

    OBJECTIVE: To examine the predictive role of insomnia and sleep duration on the 2-year course of depressive and anxiety disorders. METHOD: This study is a secondary data analysis based on data from the baseline (2004-2007) and 2-year assessment of the Netherlands Study of Depression and Anxiety.

  3. Sleep Duration, but Not Insomnia, Predicts the 2-Year Course of Depressive and Anxiety Disorders

    NARCIS (Netherlands)

    van Mill, Josine G.; Vogelzangs, Nicole; van Someren, Eus J. W.; Hoogendijk, Witte J. G.; Penninx, Brenda W. J. H.

    Objective: To examine the predictive role of insomnia and sleep duration on the 2-year course of depressive and anxiety disorders. Method: This study is a secondary data analysis based on data from the baseline (2004-2007) and 2-year assessment of the Netherlands Study of Depression and Anxiety.

  4. Perceiving social pressure not to feel negative predicts depressive symptoms in daily life.

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    Dejonckheere, Egon; Bastian, Brock; Fried, Eiko I; Murphy, Sean C; Kuppens, Peter

    2017-09-01

    Western societies often overemphasize the pursuit of happiness, and regard negative feelings such as sadness or anxiety as maladaptive and unwanted. Despite this emphasis on happiness, the amount of people suffering from depressive complaints is remarkably high. To explain this apparent paradox, we examined whether experiencing social pressure not to feel sad or anxious could in fact contribute to depressive symptoms. A sample of individuals (n = 112) with elevated depression scores (Patient Health Questionnaire [PHQ-9] ≥ 10) took part in an online daily diary study in which they rated their depressive symptoms and perceived social pressure not to feel depressed or anxious for 30 consecutive days. Using multilevel VAR models, we investigated the temporal relation between this perceived social pressure and depressive symptoms to determine directionality. Primary analyses consistently indicated that experiencing social pressure predicts increases in both overall severity scores and most individual symptoms of depression, but not vice versa. A set of secondary analyses, in which we adopted a network perspective on depression, confirmed these findings. Using this approach, centrality analysis revealed that perceived social pressure not to feel negative plays an instigating role in depression, reflected by the high out- and low instrength centrality of this pressure in the various depression networks. Together, these findings indicate how perceived societal norms may contribute to depression, hinting at a possible malignant consequence of society's denouncement of negative emotions. Clinical implications are discussed. © 2017 Wiley Periodicals, Inc.

  5. Infants' Temperament and Mothers', and Fathers' Depression Predict Infants' Attention to Objects Paired with Emotional Faces.

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    Aktar, Evin; Mandell, Dorothy J; de Vente, Wieke; Majdandžić, Mirjana; Raijmakers, Maartje E J; Bögels, Susan M

    2016-07-01

    Between 10 and 14 months, infants gain the ability to learn about unfamiliar stimuli by observing others' emotional reactions to those stimuli, so called social referencing (SR). Joint processing of emotion and head/gaze direction is essential for SR. This study tested emotion and head/gaze direction effects on infants' attention via pupillometry in the period following the emergence of SR. Pupil responses of 14-to-17-month-old infants (N = 57) were measured during computerized presentations of unfamiliar objects alone, before-and-after being paired with emotional (happy, sad, fearful vs. neutral) faces gazing towards (vs. away) from objects. Additionally, the associations of infants' temperament, and parents' negative affect/depression/anxiety with infants' pupil responses were explored. Both mothers and fathers of participating infants completed questionnaires about their negative affect, depression and anxiety symptoms and their infants' negative temperament. Infants allocated more attention (larger pupils) to negative vs. neutral faces when the faces were presented alone, while they allocated less attention to objects paired with emotional vs. neutral faces independent of head/gaze direction. Sad (but not fearful) temperament predicted more attention to emotional faces. Infants' sad temperament moderated the associations of mothers' depression (but not anxiety) with infants' attention to objects. Maternal depression predicted more attention to objects paired with emotional expressions in infants low in sad temperament, while it predicted less attention in infants high in sad temperament. Fathers' depression (but not anxiety) predicted more attention to objects paired with emotional expressions independent of infants' temperament. We conclude that infants' own temperamental dispositions for sadness, and their exposure to mothers' and fathers' depressed moods may influence infants' attention to emotion-object associations in social learning contexts.

  6. Plasma cortisol and oxytocin levels predict help-seeking intentions for depressive symptoms.

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    Thomas, Susan; Larkin, Theresa

    2018-01-01

    Depressed individuals often refuse or withdraw from help, a phenomenon termed help-negation, which is a risk factor for poor outcomes. Most previous research has investigated psychosocial factors including stigma as causes of low help-seeking intentions for depression, however these do not adequately explain the problem. We hypothesised that because help-negation worsens with symptom severity, it might be linked to important biological changes associated with depression itself. We investigated the relative contributions of cortisol, a stress hormone linked to depression, and oxytocin, a hormone which mediates social behaviours, alongside psychosocial factors, to help-seeking intentions among depressed and non-depressed individuals. Morning plasma cortisol and oxytocin levels, psychopathology, suicidal ideation, help-seeking intentions from informal sources including family and friends, and formal sources including health professionals, and perceived social support were quantified in 63 adults meeting DSM-5 criteria for major depressive disorder (MDD) who were not receiving any treatment, and 60 healthy controls. Between-group analyses of variance, correlations, and hierarchical multiple regressions were employed. Help-seeking intentions were lower in depressed than healthy participants, negatively correlated to cortisol and positively correlated to oxytocin. Cortisol negatively, and oxytocin positively, predicted help-seeking intentions from informal but not formal sources, after controlling for psychopathology and psychosocial factors. Neuroendocrine changes associated with depression may contribute to low help-seeking from friends and family, which may have implications for interpersonal support and outcomes. Research and clinical approaches which incorporate biological as well as psychosocial factors may allow for more targeted and effective early interventions to address lack of help-seeking and depression progression. Copyright © 2017 Elsevier Ltd. All rights

  7. Refining Prediction in Treatment-Resistant Depression: Results of Machine Learning Analyses in the TRD III Sample.

    Science.gov (United States)

    Kautzky, Alexander; Dold, Markus; Bartova, Lucie; Spies, Marie; Vanicek, Thomas; Souery, Daniel; Montgomery, Stuart; Mendlewicz, Julien; Zohar, Joseph; Fabbri, Chiara; Serretti, Alessandro; Lanzenberger, Rupert; Kasper, Siegfried

    The study objective was to generate a prediction model for treatment-resistant depression (TRD) using machine learning featuring a large set of 47 clinical and sociodemographic predictors of treatment outcome. 552 Patients diagnosed with major depressive disorder (MDD) according to DSM-IV criteria were enrolled between 2011 and 2016. TRD was defined as failure to reach response to antidepressant treatment, characterized by a Montgomery-Asberg Depression Rating Scale (MADRS) score below 22 after at least 2 antidepressant trials of adequate length and dosage were administered. RandomForest (RF) was used for predicting treatment outcome phenotypes in a 10-fold cross-validation. The full model with 47 predictors yielded an accuracy of 75.0%. When the number of predictors was reduced to 15, accuracies between 67.6% and 71.0% were attained for different test sets. The most informative predictors of treatment outcome were baseline MADRS score for the current episode; impairment of family, social, and work life; the timespan between first and last depressive episode; severity; suicidal risk; age; body mass index; and the number of lifetime depressive episodes as well as lifetime duration of hospitalization. With the application of the machine learning algorithm RF, an efficient prediction model with an accuracy of 75.0% for forecasting treatment outcome could be generated, thus surpassing the predictive capabilities of clinical evaluation. We also supply a simplified algorithm of 15 easily collected clinical and sociodemographic predictors that can be obtained within approximately 10 minutes, which reached an accuracy of 70.6%. Thus, we are confident that our model will be validated within other samples to advance an accurate prediction model fit for clinical usage in TRD. © Copyright 2017 Physicians Postgraduate Press, Inc.

  8. Depression Vulnerability Predicts Cigarette Smoking among College Students: Gender and Negative Reinforcement Expectancies as Contributing Factors

    OpenAIRE

    Morrell, Holly E. R.; Cohen, Lee M.; McChargue, Dennis E.

    2010-01-01

    This study examined the association between vulnerability to depression and smoking behavior in college students in 1214 college students (54% female), and evaluated gender and expectancies of negative affect reduction as moderators or mediators of this relationship. Depression vulnerability predicted smoking in females, but not males. The relationship between depression vulnerability and smoking status was mediated by expectancies of negative affect reduction in females only. Female college ...

  9. Does the Social Working Environment Predict Beginning Teachers' Self-Efficacy and Feelings of Depression?

    Science.gov (United States)

    Devos, Christelle; Dupriez, Vincent; Paquay, Leopold

    2012-01-01

    We investigate how the social working environment predicts beginning teachers' self-efficacy and feelings of depression. Two quantitative studies are presented. The results show that the goal structure of the school culture (mastery or performance orientation) predicts both outcomes. Frequent collaborative interactions with colleagues are related…

  10. Moderation of the Relationship Between Reward Expectancy and Prediction Error-Related Ventral Striatal Reactivity by Anhedonia in Unmedicated Major Depressive Disorder: Findings From the EMBARC Study

    Science.gov (United States)

    Greenberg, Tsafrir; Chase, Henry W.; Almeida, Jorge R.; Stiffler, Richelle; Zevallos, Carlos R.; Aslam, Haris A.; Deckersbach, Thilo; Weyandt, Sarah; Cooper, Crystal; Toups, Marisa; Carmody, Thomas; Kurian, Benji; Peltier, Scott; Adams, Phillip; McInnis, Melvin G.; Oquendo, Maria A.; McGrath, Patrick J.; Fava, Maurizio; Weissman, Myrna; Parsey, Ramin; Trivedi, Madhukar H.; Phillips, Mary L.

    2016-01-01

    Objective Anhedonia, disrupted reward processing, is a core symptom of major depressive disorder. Recent findings demonstrate altered reward-related ventral striatal reactivity in depressed individuals, but the extent to which this is specific to anhedonia remains poorly understood. The authors examined the effect of anhedonia on reward expectancy (expected outcome value) and prediction error-(discrepancy between expected and actual outcome) related ventral striatal reactivity, as well as the relationship between these measures. Method A total of 148 unmedicated individuals with major depressive disorder and 31 healthy comparison individuals recruited for the multisite EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care) study underwent functional MRI during a well-validated reward task. Region of interest and whole-brain data were examined in the first- (N=78) and second- (N=70) recruited cohorts, as well as the total sample, of depressed individuals, and in healthy individuals. Results Healthy, but not depressed, individuals showed a significant inverse relationship between reward expectancy and prediction error-related right ventral striatal reactivity. Across all participants, and in depressed individuals only, greater anhedonia severity was associated with a reduced reward expectancy-prediction error inverse relationship, even after controlling for other symptoms. Conclusions The normal reward expectancy and prediction error-related ventral striatal reactivity inverse relationship concords with conditioning models, predicting a shift in ventral striatal responding from reward outcomes to reward cues. This study shows, for the first time, an absence of this relationship in two cohorts of unmedicated depressed individuals and a moderation of this relationship by anhedonia, suggesting reduced reward-contingency learning with greater anhedonia. These findings help elucidate neural mechanisms of anhedonia, as a step toward

  11. Mothers' depressive symptoms predict both increased and reduced negative reactivity: aversion sensitivity and the regulation of emotion.

    Science.gov (United States)

    Dix, Theodore; Moed, Anat; Anderson, Edward R

    2014-07-01

    This study examined whether, as mothers' depressive symptoms increase, their expressions of negative emotion to children increasingly reflect aversion sensitivity and motivation to minimize ongoing stress or discomfort. In multiple interactions over 2 years, negative affect expressed by 319 mothers and their children was observed across variations in mothers' depressive symptoms, the aversiveness of children's immediate behavior, and observed differences in children's general negative reactivity. As expected, depressive symptoms predicted reduced maternal negative reactivity when child behavior was low in aversiveness, particularly with children who were high in negative reactivity. Depressive symptoms predicted high negative reactivity and steep increases in negative reactivity as the aversiveness of child behavior increased, particularly when high and continued aversiveness from the child was expected (i.e., children were high in negative reactivity). The findings are consistent with the proposal that deficits in parenting competence as depressive symptoms increase reflect aversion sensitivity and motivation to avoid conflict and suppress children's aversive behavior. © The Author(s) 2014.

  12. Clinical significance of exercise induced ST segment depression after successful percutaneous transluminal coronary angioplasty

    International Nuclear Information System (INIS)

    Aoki, Toshikazu; Konishi, Tokuji; Futagami, Yasuo

    1989-01-01

    To evaluate the clinical significance of ST segment depression during repeated Treadmill exercise after successful PTCA, Thallium-201 SPECT was performed. The Thallium-201 SPECT was performed before, one week after and 3-6 months after PTCA. All thirty-five patients had one vessel disease and positive Thallium-201 exercise test. During follow-up period for 3-6 months, 11 of 35 patients had persistent ST segment depression. Restenosis of dilated coronary lesion was demonstrated in 6 of 11 patients. In another 3 of 35 patients, exercise induced ST segment depression was disappered during follow-up Treadmill exercise. In 14 patients with persistent or transient ST segment depression after PTCA, Thallium-201 SPECT demonstrated transient ischemia in 5 of 6 patients with restenosis. In other 8 patients without restenosis, SPECT images did not demonstrate myocardial ischemia and coronary arteriographic findings could not verify side branch stenosis or intimal dissection which might cause myocardial ischemia. The etiology of ST segment depression after successful PTCA in one vessel disease is not produced by exercise induced myocardial ischemia but still unknown mechanisms may be present. (author)

  13. Early-treatment weight loss predicts 6-month weight loss in women with obesity and depression: implications for stepped care.

    Science.gov (United States)

    Waring, Molly E; Schneider, Kristin L; Appelhans, Bradley M; Busch, Andrew M; Whited, Matthew C; Rodrigues, Stephanie; Lemon, Stephenie C; Pagoto, Sherry L

    2014-05-01

    Some adults with comorbid depression and obesity respond well to lifestyle interventions while others have poor outcomes. The objective of this study was to evaluate whether early-treatment weight loss progress predicts clinically significant 6-month weight loss among women with obesity and depression. We conducted a secondary analysis of data from 75 women with obesity and depression who received a standard lifestyle intervention. Relative risks (RRs) and 95% confidence intervals (CIs) for achieving ≥5% weight loss by 6 months were calculated based on whether they achieved ≥1 lb/week weight loss in weeks 2-8. Among those on target at week 3, we examined potential subsequent time points at which weight loss progress might identify additional individuals at risk for treatment failure. At week 2, women who averaged ≥1 lb/week loss were twice as likely to achieve 5% weight loss by 6 months than those who did not (RR=2.40; 95% CI: 2.32-4.29); weight loss at weeks 3-8 was similarly predictive (RRs=2.02-3.20). Examining weight loss progress at week 3 and subsequently at a time point during weeks 4-8, 52-67% of participants were not on target with their weight loss, and those on target were 2-3 times as likely to achieve 5% weight loss by 6 months (RRs=1.82-2.92). Weight loss progress as early as week 2 of treatment predicts weight loss outcomes for women with comorbid obesity and depression, which supports the feasibility of developing stepped care interventions that adjust treatment intensity based on early progress in this population. Copyright © 2014 Elsevier Inc. All rights reserved.

  14. Correlations between sexual dysfunction, depression, anxiety, and somatic symptoms among patients with major depressive disorder.

    Science.gov (United States)

    Lin, Chiao-Fan; Juang, Yeong-Yuh; Wen, Jung-Kwang; Liu, Chia-Yih; Hung, Ching-I

    2012-01-01

    The purpose of this study was to investigate the degree of correlation between sexual dysfunction and depression, anxiety, and somatic symptoms among patients with major depressive disorder (MDD) and to identify the dimension most predictive of sexual dysfunction. One-hundred and thirty-five outpatients with MDD were enrolled and were treated with open-label venlafaxine 75 mg daily for one month. The Arizona Sexual Experience Scale-Chinese Version (ASEX-CV), Depression and Somatic Symptoms Scale (DSSS), Hamilton Depression Rating Scale, and Hospital Anxiety and Depression Scale (HADS) were administered at baseline and at one-month follow-up and the improvement percentage (IP) of each scale posttreatment was calculated. Multiple linear regression was used to determine the dimension most predictive of the total ASEX-CV score. Seventy subjects (20 men, 50 women) completed the one-month pharmacotherapy and the four scales. The depression subscale of the HADS was most strongly correlated with the ASEX-CV scale and was the only subscale to independently predict the total ASEX-CV score at the two points. However, the somatic subscale of the DSSS was not correlated with any ASEX-CV item. At the endpoint, depression, anxiety, and somatic symptoms were significantly improved (IP 48.5% to 26.0%); however, very little improvement was observed in the total ASEX-CV score (IP -1.6%). The severity of sexual dysfunction among patients with MDD was most correlated with the severity of the depressive dimension, but not the severity of the somatic dimension. Further studies are indicated to explore the relationships between sexual dysfunction, depression, anxiety, and somatic symptoms.

  15. Body Weight, Self-Esteem, and Depression in Korean Female Adolescents.

    Science.gov (United States)

    Kim, Oksoo; Kim, Kyeha

    2001-01-01

    Examined whether body mass index (BMI) and perception of a body weight problem predict level of self esteem and depression in Korean female adolescents. Results showed that perception of a weight problem, but not BMI, contributed significantly to the prediction of level of self esteem and depression. (BF)

  16. Seeing the signs: Using the course of residual depressive symptomatology to predict patterns of relapse and recurrence of major depressive disorder.

    Science.gov (United States)

    Verhoeven, Floor E A; Wardenaar, Klaas J; Ruhé, Henricus G Eric; Conradi, Henk Jan; de Jonge, Peter

    2018-02-01

    Major depressive disorder (MDD) is characterized by high relapse/recurrence rates. Predicting individual patients' relapse/recurrence risk has proven hard, possibly due to course heterogeneity among patients. This study aimed to (1) identify homogeneous data-driven subgroups with different patterns of relapse/recurrence and (2) identify associated predictors. For a year, we collected weekly depressive symptom ratings in 213 primary care MDD patients. Latent class growth analyses (LCGA), based on symptom-severity during the 24 weeks after no longer fulfilling criteria for the initial major depressive episode (MDE), were used to identify groups with different patterns of relapse/recurrence. Associations of baseline predictors with these groups were investigated, as were the groups' associations with 3- and 11-year follow-up depression outcomes. LCGA showed that heterogeneity in relapse/recurrence after no longer fulfilling criteria for the initial MDE was best described by four classes: "quick symptom decline" (14.0%), "slow symptom decline" (23.3%), "steady residual symptoms" (38.7%), and "high residual symptoms" (24.1%). The latter two classes showed lower self-esteem at baseline, and more recurrences and higher severity at 3-year follow-up than the first two classes. Moreover, the high residual symptom class scored higher on neuroticism and lower on extraversion and self-esteem at baseline. Interestingly, the steady residual symptoms and high residual symptoms classes still showed higher severity of depressive symptoms after 11 years. Some measures were associated with specific patterns of relapse/recurrence. Moreover, the data-driven relapse/recurrence groups were predictive of long-term outcomes, suggesting that patterns of residual symptoms could be of prognostic value in clinical practice. © 2017 Wiley Periodicals, Inc.

  17. Using Social Cognitive Theory to Predict Medication Compliance Behavior in Patients with Depression in Southern United States in 2016 in a Cross-Sectional Study.

    Science.gov (United States)

    Bennett, Britney; Sharma, Manoj; Bennett, Russell; Mawson, Anthony R; Buxbaum, Sarah G; Sung, Jung Hye

    2018-03-01

    Introduction: Depression is a major public health issue. One of the concerns in depression research and practice pertains to non-compliance to prescribed medications. The purpose of the study was to predict compliance with medication use for patients with depression using social cognitive theory (SCT). Based on this study it was envisaged that recommendations for interventions to enhance compliance for medication use could be developed for patients with depression. Methods: The study was conducted using cross sectional design (n=148) in southern United States with a convenience sample of clinic-based depression patients with a 37-item valid and reliable questionnaire. Sample size was calculated to be 148 using G*Power (five predictors with a 0.80 power at the 0.05 alpha level and an estimated effect size of 0.10 with an inflation by 10% for missing data). Social cognitive theory constructs of expectations, self-efficacy and self-efficacy in overcoming barriers, self-control, and environment were reified. Data were analyzed using multiple linear regression and multiple logistic regression analyses. Results: Self-control for taking medication for depression (P=0.04), expectations for taking medication for depression (P=0.025), age (P<0.0001) and race (P=0.04) were significantly related to intent for taking medication for depression (Adjusted R 2 = 0.183). In race, Blacks had lower intent to take medication for depression. Conclusion: Social cognitive theory is weakly predictive with low explained variance for taking medication for depression. It needs to be bolstered by newer theories like integrative model or multi-theory model of health behavior change for designing educational interventions aimed at enhancing compliance to medication for depression.

  18. Using Social Cognitive Theory to Predict Medication Compliance Behavior in Patients with Depression in Southern United States in 2016 in a Cross-Sectional Study

    Directory of Open Access Journals (Sweden)

    Britney Bennett

    2018-03-01

    Full Text Available Introduction: Depression is a major public health issue. One of the concerns in depression research and practice pertains to non-compliance to prescribed medications. The purpose of the study was to predict compliance with medication use for patients with depression using social cognitive theory (SCT. Based on this study it was envisaged that recommendations for interventions to enhance compliance for medication use could be developed for patients with depression. Methods: The study was conducted using cross sectional design (n=148 in southern United States with a convenience sample of clinic-based depression patients with a 37-item valid and reliable questionnaire. Sample size was calculated to be 148 using G*Power (five predictors with a 0.80 power at the 0.05 alpha level and an estimated effect size of 0.10 with an inflation by 10% for missing data. Social cognitive theory constructs of expectations, self-efficacy and self-efficacy in overcoming barriers, self-control, and environment were reified. Data were analyzed using multiple linear regression and multiple logistic regression analyses. Results: Self-control for taking medication for depression (P=0.04, expectations for taking medication for depression (P=0.025, age (P<0.0001 and race (P=0.04 were significantly related to intent for taking medication for depression (Adjusted R2 = 0.183. In race, Blacks had lower intent to take medication for depression. Conclusion: Social cognitive theory is weakly predictive with low explained variance for taking medication for depression. It needs to be bolstered by newer theories like integrative model or multi-theory model of health behavior change for designing educational interventions aimed at enhancing compliance to medication for depression.

  19. Predicting change in symptoms of depression during the transition to university: the roles of BDNF and working memory capacity.

    Science.gov (United States)

    LeMoult, Joelle; Carver, Charles S; Johnson, Sheri L; Joormann, Jutta

    2015-03-01

    Studies on depression risk emphasize the importance of both cognitive and genetic vulnerability factors. The present study has provided the first examination of whether working memory capacity, the BDNF Val66Met polymorphism, and their interaction predict changes in symptoms of depression during the transition to university. Early in the semester, students completed a self-report measure of depressive symptoms and a modified version of the reading span task to assess working memory capacity in the presence of both neutral and negative distractors. Whole blood was genotyped for the BDNF Val66Met polymorphism. Students returned at the end of the semester to complete additional self-report questionnaires. Neither working memory capacity nor the BDNF Val66Met polymorphism predicted change in depressive symptoms either independently or in interaction with self-reported semester difficulty. The BDNF Val66Met polymorphism, however, moderated the association between working memory capacity and symptom change. Among met carriers, lower working memory capacity in the presence of negative-but not neutral-distractors was associated with increased symptoms of depression over the semester. For the val/val group, working memory capacity did not predict symptom change. These findings contribute directly to biological and cognitive models of depression and highlight the importance of examining Gene × Cognition interactions when investigating risk for depression.

  20. Significance of periventricular hyperintensity in T2 weighted MRI on memory dysfunction and depression after stroke

    International Nuclear Information System (INIS)

    Bokura, Hirokazu; Kobayashi, Shotai; Yamaguchi, Shuhei; Yamashita, Kazuya; Koide, Hiromi

    1994-01-01

    We studied the effect of periventricular hyperintensity (PVH) in T2 weighted MRI on memory function and post-stroke depression in 159 patients with cerebrovacular disease. Memory function was assessed with Hasegawa's scale, and depressive state was estimated with Zung's self-rating depression scale. Patients showing diffusely distributed PVH had significantly low scores in memory function tests. Localized PVH around the anterior horns of the laterals ventricle was also associated with impaired memory function when the area of PVH was large. The incidence of post-stroke depression was high in patients with large PVH around the anterior horn in comparison with patients with PVH around the posterior horn. The severity of PVH around the posterior horn did not affect memory function and post-stroke depression. These findings suggest that memory dysfunction and post-stroke depression were accelerated by the diffusely or anteriorly distributed PVH. (author)

  1. American Indian working women: correlates of subclinical depression among American Indian women.

    Science.gov (United States)

    Napholz, L

    1999-10-01

    The purpose of this study was to examine the extent to which role conflict, life satisfaction, self-esteem, instrumentality, expressiveness, age and education predicts ambulatory depression among a community based sample of urban American Indian working women. The convenience sample consisted of a total of 148 Midwestern American Indian working women, ranging in age from 18 to 65 years. Participants completed five instruments assessing gender-related traits of instrumentality and expressiveness, self-esteem, depression, life satisfaction, role conflict, and socio-demographic information. A forced entry stepwise multiple regression was conducted which included all the designated predictor variables. The significant negative Beta in Step 1 indicated that women scoring on the Masculinity (instrumentality) sub-scale were less likely to have a high depression score. The prediction of depression by the Masculinity sub-scale was no longer significant after the life satisfaction and self-esteem variables were added to the equation in Step 2. There was a significant inverse relationship for life satisfaction and self-esteem in predicting the criterion variable, depression. Thirty-two percent of the variance in the prediction of the dependent variable (depression scores) was accounted for by the six variables. In counselling urban American Indian women, supporting instrumentality, enhancing self-esteem and life satisfaction, can positively impact on ambulatory dysphoria.

  2. The Role of Depression and Attachment Styles in Predicting Students? Addiction to Cell Phones

    OpenAIRE

    Ghasempour, Abdollah; Mahmoodi-Aghdam, Mansour

    2015-01-01

    Background The present study aimed at investigating the role of depression and attachment styles in predicting cell phone addiction. Methods In this descriptive correlational study, a sample including 100 students of Payame Noor University (PNU), Reyneh Center, Iran, in the academic year of 2013-2014 was selected using volunteer sampling. Participants were asked to complete the adult attachment inventory (AAI), Beck depression inventory-13 (BDI-13) and the cell phone overuse scale (COS). Find...

  3. Prediction of treatment outcomes to exercise in patients with nonremitted major depressive disorder.

    Science.gov (United States)

    Rethorst, Chad D; South, Charles C; Rush, A John; Greer, Tracy L; Trivedi, Madhukar H

    2017-12-01

    Only one-third of patients with major depressive disorder (MDD) achieve remission with initial treatment. Consequently, current clinical practice relies on a "trial-and-error" approach to identify an effective treatment for each patient. The purpose of this report was to determine whether we could identify a set of clinical and biological parameters with potential clinical utility for prescription of exercise for treatment of MDD in a secondary analysis of the Treatment with Exercise Augmentation in Depression (TREAD) trial. Participants with nonremitted MDD were randomized to one of two exercise doses for 12 weeks. Participants were categorized as "remitters" (≤12 on the IDS-C), nonresponders (drop in IDS-C), or neither. The least absolute shrinkage and selection operator (LASSO) and random forests were used to evaluate 30 variables as predictors of both remission and nonresponse. Predictors were used to model treatment outcomes using logistic regression. Of the 122 participants, 36 were categorized as remitters (29.5%), 56 as nonresponders (45.9%), and 30 as neither (24.6%). Predictors of remission were higher levels of brain-derived neurotrophic factor (BDNF) and IL-1B, greater depressive symptom severity, and higher postexercise positive affect. Predictors of treatment nonresponse were low cardiorespiratory fitness, lower levels of IL-6 and BDNF, and lower postexercise positive affect. Models including these predictors resulted in predictive values greater than 70% (true predicted remitters/all predicted remitters) with specificities greater than 25% (true predicted remitters/all remitters). Results indicate feasibility in identifying patients who will either remit or not respond to exercise as a treatment for MDD utilizing a clinical decision model that incorporates multiple patient characteristics. © 2017 Wiley Periodicals, Inc.

  4. What characteristics of primary anxiety disorders predict subsequent major depressive disorder?

    Science.gov (United States)

    Bittner, Antje; Goodwin, Renee D; Wittchen, Hans-Ulrich; Beesdo, Katja; Höfler, Michael; Lieb, Roselind

    2004-05-01

    The goal of this study was to examine the associations between specific anxiety disorders and the risk of major depressive disorder and to explore the role of various clinical characteristics of anxiety disorders in these relationships using a prospective, longitudinal design. The data are from a 4-year prospective, longitudinal community study, which included both baseline and follow-up survey data on 2548 adolescents and young adults aged 14 to 24 years at baseline. DSM-IV diagnoses were made using the Munich-Composite International Diagnostic Interview. The presence at baseline of any anxiety disorder (odds ratio [OR] = 2.2 [95% CI = 1.6 to 3.2]) and each of the anxiety disorders (specific phobia, OR = 1.9 [95% CI = 1.3 to 2.8]; social phobia, OR = 2.9 [95% CI = 1.7 to 4.8]; agoraphobia, OR = 3.1 [95% CI = 1.4 to 6.7]; panic disorder, OR = 3.4 [95% CI = 1.2 to 9.0]; generalized anxiety disorder, OR = 4.5 [95% CI = 1.9 to 10.3]) was associated with a significantly (p depressive disorder. These associations remained significant after we adjusted for mental disorders occurring prior to the onset of the anxiety disorder, with the exception of the panic disorder association. The following clinical characteristics of anxiety disorders were associated with a significantly (p depressive disorder: more than 1 anxiety disorder, severe impairment due to the anxiety disorder, and comorbid panic attacks. In the final model, which included all clinical characteristics, severe impairment remained the only clinical characteristic that was an independent predictor of the development of major depressive disorder (OR = 2.2 [95% CI = 1.0 to 4.4]). Our findings suggest that anxiety disorders are risk factors for the first onset of major depressive disorder. Although a number of clinical characteristics of anxiety disorders appear to play a role in the association between anxiety disorders and depression, severe impairment is the strongest predictor of major depressive disorder.

  5. Predictive value of dorso-lateral prefrontal connectivity for rTMS response in treatment-resistant depression: A brain perfusion SPECT study.

    Science.gov (United States)

    Richieri, Raphaëlle; Verger, Antoine; Boyer, Laurent; Boucekine, Mohamed; David, Anthony; Lançon, Christophe; Cermolacce, Michel; Guedj, Eric

    2018-05-18

    Previous clinical trials have suggested that repetitive transcranial magnetic stimulation (rTMS) has a significant antidepressant effect in patients with treatment resistant depression (TRD). However, results remain heterogeneous with many patients without effective response. The aim of this SPECT study was to determine before treatment the predictive value of the connectivity of the stimulated area on further rTMS response in patients with TRD. Fifty-eight TRD patients performed a brain perfusion SPECT before high frequency rTMS of the left dorsolateral prefrontal cortex (DLPFC). A voxel based-analysis was achieved to compare connectivity of the left DLPFC in responders and non-responders using inter-regional correlations (p left DLPFC and the right cerebellum in comparison to non-responders, independently of age, gender, severity of depression, and severity of treatment resistance. The area under the curve for the combination of these two SPECT clusters to predict rTMS response was 0.756 (p left DLPFC predicts rTMS response before treatment. Crown Copyright © 2018. Published by Elsevier Inc. All rights reserved.

  6. Stress generation in a developmental context: the role of youth depressive symptoms, maternal depression, the parent-child relationship, and family stress.

    Science.gov (United States)

    Chan, Priscilla T; Doan, Stacey N; Tompson, Martha C

    2014-02-01

    The present study examined stress generation in a developmental and family context among 171 mothers and their preadolescent children, ages 8-12 years, at baseline (Time 1) and 1-year follow-up (Time 2). In the current study, we examined the bidirectional relationship between children's depressive symptoms and dependent family stress. Results suggest that children's baseline level of depressive symptoms predicted the generation of dependent family stress 1 year later. However, baseline dependent family stress did not predict an increase in children's depressive symptoms 1 year later. In addition, we examined whether a larger context of both child chronic strain (indicated by academic, behavioral, and peer stress) and family factors, including socioeconomic status and parent-child relationship quality, would influence the stress generation process. Although both chronic strain and socioeconomic status were not associated with dependent family stress at Time 2, poorer parent-child relationship quality significantly predicted greater dependent family stress at Time 2. Child chronic strain, but neither socioeconomic status nor parent-child relationship quality, predicted children's depression symptoms at Time 2. Finally, gender, maternal depression history, and current maternal depressive symptoms did not moderate the relationship between level of dependent family stress and depressive symptoms. Overall, findings provide partial support for a developmental stress generation model operating in the preadolescent period.

  7. Maternal overprotection score of the Parental Bonding Instrument predicts the outcome of cognitive behavior therapy by trainees for depression.

    Science.gov (United States)

    Asano, Motoshi; Esaki, Kosei; Wakamatsu, Aya; Kitajima, Tomoko; Narita, Tomohiro; Naitoh, Hiroshi; Ozaki, Norio; Iwata, Nakao

    2013-07-01

    The purpose of this study was to predict the outcome of cognitive behavior therapy (CBT) by trainees for major depressive disorder (MDD) based on the Parental Bonding Instrument (PBI). The hypothesis was that the higher level of care and/or lower level of overprotection score would predict a favorable outcome of CBT by trainees. The subjects were all outpatients with MDD treated with CBT as a training case. All the subjects were asked to fill out the Japanese version of the PBI before commencing the course of psychotherapy. The difference between the first and the last Beck Depression Inventory (BDI) score was used to represent the improvement of the intensity of depression by CBT. In order to predict improvement (the difference of the BDI scores) as the objective variable, multiple regression analysis was performed using maternal overprotection score and baseline BDI score as the explanatory variables. The multiple regression model was significant (P = 0.0026) and partial regression coefficient for the maternal overprotection score and the baseline BDI was -0.73 (P = 0.0046) and 0.88 (P = 0.0092), respectively. Therefore, when a patient's maternal overprotection score of the PBI was lower, a better outcome of CBT was expected. The hypothesis was partially supported. This result would be useful in determining indications for CBT by trainees for patients with MDD. © 2013 The Authors. Psychiatry and Clinical Neurosciences © 2013 Japanese Society of Psychiatry and Neurology.

  8. Testing the predictive value of peripheral gene expression for nonremission following citalopram treatment for major depression.

    Science.gov (United States)

    Guilloux, Jean-Philippe; Bassi, Sabrina; Ding, Ying; Walsh, Chris; Turecki, Gustavo; Tseng, George; Cyranowski, Jill M; Sibille, Etienne

    2015-02-01

    Major depressive disorder (MDD) in general, and anxious-depression in particular, are characterized by poor rates of remission with first-line treatments, contributing to the chronic illness burden suffered by many patients. Prospective research is needed to identify the biomarkers predicting nonremission prior to treatment initiation. We collected blood samples from a discovery cohort of 34 adult MDD patients with co-occurring anxiety and 33 matched, nondepressed controls at baseline and after 12 weeks (of citalopram plus psychotherapy treatment for the depressed cohort). Samples were processed on gene arrays and group differences in gene expression were investigated. Exploratory analyses suggest that at pretreatment baseline, nonremitting patients differ from controls with gene function and transcription factor analyses potentially related to elevated inflammation and immune activation. In a second phase, we applied an unbiased machine learning prediction model and corrected for model-selection bias. Results show that baseline gene expression predicted nonremission with 79.4% corrected accuracy with a 13-gene model. The same gene-only model predicted nonremission after 8 weeks of citalopram treatment with 76% corrected accuracy in an independent validation cohort of 63 MDD patients treated with citalopram at another institution. Together, these results demonstrate the potential, but also the limitations, of baseline peripheral blood-based gene expression to predict nonremission after citalopram treatment. These results not only support their use in future prediction tools but also suggest that increased accuracy may be obtained with the inclusion of additional predictors (eg, genetics and clinical scales).

  9. Depression in patients with colorectal cancer in Saudi Arabia.

    Science.gov (United States)

    Shaheen Al Ahwal, Mahmoud; Al Zaben, Faten; Khalifa, Doaa Ahmed; Sehlo, Mohammad Gamal; Ahmad, Rami Ghazi; Koenig, Harold G

    2015-09-01

    Persons with colon cancer experience considerable psychological stress due to physical and social changes brought on by illness, increasing their risk of depressive disorder (DD). We examine the prevalence of DD and depressive symptoms and determine baseline demographic, social, psychological, and physical health correlates. A convenience sample of 70 cancer patients in Jeddah, Saudi Arabia, was screened for DD using an abbreviated version of the Structured Clinical Interview for Depression (SCID) and for depressive symptoms using the Hamilton Depression Rating Scale (HDRS). Demographic, psychosocial, psychiatric, and physical health characteristics were also assessed, along with past treatments for colon cancer. Bivariate and multivariate analyses identified predictors of DD and symptoms. The 1-month prevalence of DD was 30.0% (12.9% major depression, 5.7% minor depression, and 11.4% for dysthymia) and significant depressive symptoms were present in 57.1% (HDRS 8 or higher), including having persistent suicidal thoughts for 2 weeks or longer wthin the past month (14.3%) . Low social support and having a co-morbid psychiatric illness (particularly anxiety) independently predicted DD based on the SCID. Saudi nationality, poor financial situation, low social support, and co-morbid psychiatric illness independently predicted depressive symptoms on the HDRS. Surprisingly, stage of cancer, duration of cancer, and treatments for cancer were unrelated to DD or depressive symptoms. DD and significant depressive symptoms are common in patients with colon cancer in Saudi Arabia, and are predicted by a distinct set of demographic and psychosocial risk factors that may help with identification. Demographic and psychological risk factors were more likely to be associated with depression than cancer characteristics in this sample. Copyright © 2014 John Wiley & Sons, Ltd.

  10. Whiplash-associated disorders: who gets depressed? Who stays depressed?

    Science.gov (United States)

    Carroll, Linda J.; Cassidy, J. David; Côté, Pierre

    2010-01-01

    Depression is common in whiplash-associated disorders (WAD). Our objectives were to identify factors associated with depressive symptomatology occurring in the initial stages of WAD, and to identify factors predicting the course of depressive symptoms. A population-based cohort of adults sustaining traffic-related WAD was followed at 6 weeks, 3, 6, 9, and 12 months. Baseline measures (assessed a median of 11 days post-crash) included demographic and collision-related factors, prior health, and initial post-crash pain and symptoms. Depressive symptomatology was assessed at baseline and at each follow-up using the Centre for Epidemiological Studies Depression Scale (CES-D). We included only those who participated at all follow-ups (n = 3,452; 59% of eligible participants). Using logistic regression, we identified factors associated with initial (post-crash) depression. Using multinomial regression, we identified baseline factors predicting course of depression. Courses of depression were no depression; initial depression that resolves, recurs or persists, and later onset depression. Factors associated with initial depression included greater neck and low back pain severity, greater percentage of body in pain, numbness/tingling in arms/hand, dizziness, vision problems, post-crash anxiety, fracture, prior mental health problems, and poorer general health. Predictors of persistent depression included older age, greater initial neck and low back pain, post-crash dizziness, vision and hearing problems, numbness/tingling in arms/hands, anxiety, prior mental health problems, and poorer general health. Recognition of these underlying risk factors may assist health care providers to predict the course of psychological reactions and to provide effective interventions. PMID:20127261

  11. A wavelet-based technique to predict treatment outcome for Major Depressive Disorder

    Science.gov (United States)

    Xia, Likun; Mohd Yasin, Mohd Azhar; Azhar Ali, Syed Saad

    2017-01-01

    Treatment management for Major Depressive Disorder (MDD) has been challenging. However, electroencephalogram (EEG)-based predictions of antidepressant’s treatment outcome may help during antidepressant’s selection and ultimately improve the quality of life for MDD patients. In this study, a machine learning (ML) method involving pretreatment EEG data was proposed to perform such predictions for Selective Serotonin Reuptake Inhibitor (SSRIs). For this purpose, the acquisition of experimental data involved 34 MDD patients and 30 healthy controls. Consequently, a feature matrix was constructed involving time-frequency decomposition of EEG data based on wavelet transform (WT) analysis, termed as EEG data matrix. However, the resultant EEG data matrix had high dimensionality. Therefore, dimension reduction was performed based on a rank-based feature selection method according to a criterion, i.e., receiver operating characteristic (ROC). As a result, the most significant features were identified and further be utilized during the training and testing of a classification model, i.e., the logistic regression (LR) classifier. Finally, the LR model was validated with 100 iterations of 10-fold cross-validation (10-CV). The classification results were compared with short-time Fourier transform (STFT) analysis, and empirical mode decompositions (EMD). The wavelet features extracted from frontal and temporal EEG data were found statistically significant. In comparison with other time-frequency approaches such as the STFT and EMD, the WT analysis has shown highest classification accuracy, i.e., accuracy = 87.5%, sensitivity = 95%, and specificity = 80%. In conclusion, significant wavelet coefficients extracted from frontal and temporal pre-treatment EEG data involving delta and theta frequency bands may predict antidepressant’s treatment outcome for the MDD patients. PMID:28152063

  12. A wavelet-based technique to predict treatment outcome for Major Depressive Disorder.

    Science.gov (United States)

    Mumtaz, Wajid; Xia, Likun; Mohd Yasin, Mohd Azhar; Azhar Ali, Syed Saad; Malik, Aamir Saeed

    2017-01-01

    Treatment management for Major Depressive Disorder (MDD) has been challenging. However, electroencephalogram (EEG)-based predictions of antidepressant's treatment outcome may help during antidepressant's selection and ultimately improve the quality of life for MDD patients. In this study, a machine learning (ML) method involving pretreatment EEG data was proposed to perform such predictions for Selective Serotonin Reuptake Inhibitor (SSRIs). For this purpose, the acquisition of experimental data involved 34 MDD patients and 30 healthy controls. Consequently, a feature matrix was constructed involving time-frequency decomposition of EEG data based on wavelet transform (WT) analysis, termed as EEG data matrix. However, the resultant EEG data matrix had high dimensionality. Therefore, dimension reduction was performed based on a rank-based feature selection method according to a criterion, i.e., receiver operating characteristic (ROC). As a result, the most significant features were identified and further be utilized during the training and testing of a classification model, i.e., the logistic regression (LR) classifier. Finally, the LR model was validated with 100 iterations of 10-fold cross-validation (10-CV). The classification results were compared with short-time Fourier transform (STFT) analysis, and empirical mode decompositions (EMD). The wavelet features extracted from frontal and temporal EEG data were found statistically significant. In comparison with other time-frequency approaches such as the STFT and EMD, the WT analysis has shown highest classification accuracy, i.e., accuracy = 87.5%, sensitivity = 95%, and specificity = 80%. In conclusion, significant wavelet coefficients extracted from frontal and temporal pre-treatment EEG data involving delta and theta frequency bands may predict antidepressant's treatment outcome for the MDD patients.

  13. Prospective Longitudinal Study of Predictors of Postpartum-Onset Depression in Women With a History of Major Depressive Disorder.

    Science.gov (United States)

    Suri, Rita; Stowe, Zachary N; Cohen, Lee S; Newport, D Jeffrey; Burt, Vivien K; Aquino-Elias, Ana R; Knight, Bettina T; Mintz, Jim; Altshuler, Lori L

    Risk factors for postpartum depression in euthymic pregnant women with histories of major depressive disorder (MDD) were evaluated. From April 2003 to March 2009, 343 pregnant women with a history of Structured Clinical Interview for DSM-IV (SCID)-diagnosed major depressive disorder were prospectively assessed from the third trimester into the postpartum period using the SCID mood module and 17-item Hamilton Depression Rating Scale (HDRS). Data from 300 subjects who completed at least 2 mood module assessments (1 within 60 days before and the other within 60 days after delivery) were analyzed for predictive associations between variables assessed in the third trimester and the development of a postpartum depression. The majority of women were euthymic in pregnancy by SCID criteria. Women with third trimester SCID-diagnosed depression (n = 45) versus euthymia (n = 255) had a significantly higher risk for having depression after delivery (24% vs 11%, P = .013). For pregnant euthymic women, third trimester total HDRS scores significantly predicted postpartum depression (P postpartum depression. Antidepressant use in the third trimester in euthymic women did not confer protection against the onset of postpartum depression. Among women with a history of MDD who are euthymic in the third trimester, 3 HDRS items-work activities, early insomnia, and suicidality-may be useful as screening items for clinicians working with pregnant women with histories of MDD to identify a group at risk for developing postpartum depression. Additionally, in euthymic women with a history of MDD, antidepressant use in the third trimester may not reduce the risk of developing postpartum depression. © Copyright 2017 Physicians Postgraduate Press, Inc.

  14. Metacognition and depressive realism: evidence for the level-of-depression account.

    Science.gov (United States)

    Soderstrom, Nicholas C; Davalos, Deana B; Vázquez, Susana M

    2011-09-01

    Introduction. The present study examined the relationship between metacognition (i.e., "thinking about thinking") and depression. More specifically, the depressive realism hypothesis (Alloy & Abramson, 1979), which posits that depressed people have a more accurate view of reality than nondepressed people, was tested. Methods. Nondepressed, mildly depressed, and moderately depressed individuals predicted their memory performance by making judgements of learning after each studied item. These predictions were then compared with actual performance on a free recall task to assess calibration, an index of metacognitive accuracy. Results and conclusions. Consistent with the depressive realism hypothesis, mild depression was associated with better calibration than nondepression. However, this "sadder but wiser" phenomenon appears to only exist to point, as moderate depression and nondepression showed no calibration differences. Thus, the level-of-depression account of depressive realism is supported.

  15. Predicting Optimal Outcomes in Cognitive Therapy or Interpersonal Psychotherapy for Depressed Individuals Using the Personalized Advantage Index Approach.

    Directory of Open Access Journals (Sweden)

    Marcus J H Huibers

    Full Text Available Although psychotherapies for depression produce equivalent outcomes, individual patients respond differently to different therapies. Predictors of outcome have been identified in the context of randomized trials, but this information has not been used to predict which treatment works best for the depressed individual. In this paper, we aim to replicate a recently developed treatment selection method, using data from an RCT comparing the effects of cognitive therapy (CT and interpersonal psychotherapy (IPT.134 depressed patients completed the pre- and post-treatment BDI-II assessment. First, we identified baseline predictors and moderators. Second, individual treatment recommendations were generated by combining the identified predictors and moderators in an algorithm that produces the Personalized Advantage Index (PAI, a measure of the predicted advantage in one therapy compared to the other, using standard regression analyses and the leave-one-out cross-validation approach.We found five predictors (gender, employment status, anxiety, personality disorder and quality of life and six moderators (somatic complaints, cognitive problems, paranoid symptoms, interpersonal self-sacrificing, attributional style and number of life events of treatment outcome. The mean average PAI value was 8.9 BDI points, and 63% of the sample was predicted to have a clinically meaningful advantage in one of the therapies. Those who were randomized to their predicted optimal treatment (either CT or IPT had an observed mean end-BDI of 11.8, while those who received their predicted non-optimal treatment had an end-BDI of 17.8 (effect size for the difference = 0.51.Depressed patients who were randomized to their predicted optimal treatment fared much better than those randomized to their predicted non-optimal treatment. The PAI provides a great opportunity for formal decision-making to improve individual patient outcomes in depression. Although the utility of the PAI

  16. The long-term effects of maternal depression: early childhood physical health as a pathway to offspring depression.

    Science.gov (United States)

    Raposa, Elizabeth; Hammen, Constance; Brennan, Patricia; Najman, Jake

    2014-01-01

    Cross-sectional and retrospective studies have highlighted the long-term negative effects of maternal depression on offspring physical, social, and emotional development, but longitudinal research is needed to clarify the pathways by which maternal depression during pregnancy and early childhood affects offspring outcomes. The current study tested one developmental pathway by which maternal depression during pregnancy might negatively impact offspring mental health in young adulthood, via poor physical health in early childhood. The sample consisted of 815 Australian youth and their mothers who were followed for 20 years. Mothers reported on their own depressive symptoms during pregnancy and offspring early childhood. Youth completed interviews about health-related stress and social functioning at age 20 years, and completed a questionnaire about their own depressive symptoms 2 to 5 years later. Path analysis indicated that prenatal maternal depressive symptoms predicted worse physical health during early childhood for offspring, and this effect was partially explained by ongoing maternal depression in early childhood. Offspring poor physical health during childhood predicted increased health-related stress and poor social functioning at age 20. Finally, increased health-related stress and poor social functioning predicted increased levels of depressive symptoms later in young adulthood. Maternal depression had a significant total indirect effect on youth depression via early childhood health and its psychosocial consequences. Poor physical health in early childhood and its effects on young adults' social functioning and levels of health related stress is one important pathway by which maternal depression has long-term consequences for offspring mental health. Copyright © 2014 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

  17. A morphometric signature of depressive symptoms in unmedicated patients with mood disorders.

    Science.gov (United States)

    Wise, T; Marwood, L; Perkins, A M; Herane-Vives, A; Williams, S C R; Young, A H; Cleare, A J; Arnone, D

    2018-04-22

    A growing literature indicates that unipolar depression and bipolar depression are associated with alterations in grey matter volume. However, it is unclear to what degree these patterns of morphometric change reflect symptom dimensions. Here, we aimed to predict depressive symptoms and hypomanic symptoms based on patterns of grey matter volume using machine learning. We used machine learning methods combined with voxel-based morphometry to predict depressive and self-reported hypomanic symptoms from grey matter volume in a sample of 47 individuals with unmedicated unipolar and bipolar depression. We were able to predict depressive severity from grey matter volume in the anteroventral bilateral insula in both unipolar depression and bipolar depression. Self-reported hypomanic symptoms did not predict grey matter loss with a significant degree of accuracy. The results of this study suggest that patterns of grey matter volume alteration in the insula are associated with depressive symptom severity across unipolar and bipolar depression. Studies using other modalities and exploring other brain regions with a larger sample are warranted to identify other systems that may be associated with depressive and hypomanic symptoms across affective disorders. © 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  18. Immediate postpartum mood assessment and postpartum depressive symptoms.

    Science.gov (United States)

    Miller, Michelle L; Kroska, Emily B; Grekin, Rebecca

    2017-01-01

    Negative affect (NA) and positive affect (PA) in the early postpartum period have been associated with postpartum depressive symptoms, but the exact relationship is not well understood. This study aimed to determine if NA and PA in the immediate postpartum period predicted postpartum depressive symptoms over and above well-established predictors (previous trauma, history of depression). Participants were prospectively recruited from a Mother-Baby Unit at a large Midwestern academic medical center in the United States from April 2011 to April 2014. Participants (N=526) completed the Daily Experiences Questionnaire (DEQ), a self-report measure which assessed NA and PA, within three days post-delivery. Participants then reported their depressive symptoms at two weeks (n=364) and twelve weeks postpartum (n=271). Hierarchical regression analyses indicated that low PA and high NA after birth significantly predicted depressive symptoms early (at 2 weeks) and later (at 12 weeks) in the postpartum period, over and above previous traumatic experiences and history of depression. The sample was relatively homogenous, and data were from self-report instruments. The current study found NA and PA in the days immediately after birth predicted depressive symptoms at multiple time points in the postpartum period. Because the perinatal period places women at a higher risk for depressive symptomatology, prevention and early intervention are critical. Measuring affect in hospitals immediately after birth may provide a more normalized set of items that is predictive of later depression, which will allow physicians to identify those at highest risk for developing depressive symptoms. Copyright © 2016 Elsevier B.V. All rights reserved.

  19. Immediate Postpartum Mood Assessment and Postpartum Depressive Symptoms

    Science.gov (United States)

    Miller, Michelle L.; Kroska, Emily B.; Grekin, Rebecca

    2016-01-01

    Background Negative affect (NA) and positive affect (PA) in the early postpartum period have been associated with postpartum depressive symptoms, but the exact relationship is not well understood. This study aimed to determine if NA and PA in the immediate postpartum period predicted postpartum depressive symptoms over and above well-established predictors (previous trauma, history of depression). Methods Participants were prospectively recruited from a Mother-Baby Unit at a large Midwestern academic medical center in the United States from April 2011 to April 2014. Participants (N = 526) completed the Daily Experiences Questionnaire (DEQ), a self-report measure which assessed NA and PA, within three days post-delivery. Participants then reported their depressive symptoms at two weeks (n = 364) and twelve weeks postpartum (n = 271). Results Hierarchical regression analyses indicated that low PA and high NA after birth significantly predicted depressive symptoms early (at 2 weeks) and later (at 12 weeks) in the postpartum period, over and above previous traumatic experiences and history of depression. Limitations The sample was relatively homogenous, and data were from self-report instruments. Conclusions The current study found NA and PA in the days immediately after birth predicted depressive symptoms at multiple time points in the postpartum period. Because the perinatal period places women at a higher risk for depressive symptomatology, prevention and early intervention are critical. Measuring affect in hospitals immediately after birth may provide a more normalized set of items that is predictive of later depression, which will allow physicians to identify those at highest risk for developing depressive symptoms. PMID:27716540

  20. Decreased activation and subsyndromal manic symptoms predict lower remission rates in bipolar depression.

    Science.gov (United States)

    Caldieraro, Marco Antonio; Walsh, Samantha; Deckersbach, Thilo; Bobo, William V; Gao, Keming; Ketter, Terence A; Shelton, Richard C; Reilly-Harrington, Noreen A; Tohen, Mauricio; Calabrese, Joseph R; Thase, Michael E; Kocsis, James H; Sylvia, Louisa G; Nierenberg, Andrew A

    2017-11-01

    Activation encompasses energy and activity and is a central feature of bipolar disorder. However, the impact of activation on treatment response of bipolar depression requires further exploration. The aims of this study were to assess the association of decreased activation and sustained remission in bipolar depression and test for factors that could affect this association. We assessed participants with Diagnostic and Statistical Manual of Mental Disorders (4th ed) bipolar depression ( n = 303) included in a comparative effectiveness study of lithium- and quetiapine-based treatments (the Bipolar CHOICE study). Activation was evaluated using items from the Bipolar Inventory of Symptoms Scale. The selection of these items was based on a dimension of energy and interest symptoms associated with poorer treatment response in major depression. Decreased activation was associated with lower remission rates in the raw analyses and in a logistic regression model adjusted for baseline severity and subsyndromal manic symptoms (odds ratio = 0.899; p = 0.015). The manic features also predicted lower remission (odds ratio = 0.934; p bipolar depression. Patients with these features may require specific treatment approaches, but new studies are necessary to identify treatments that could improve outcomes in this population.

  1. Low self-esteem as a vulnerability differentially predicts symptom dimensions of depression in university students in China: A 6-month longitudinal study.

    Science.gov (United States)

    Zheng, Xinyue; Wang, Danyang; Yu, Ping; Yao, Shuqiao; Xiao, Jing

    2014-12-01

    This 6-month longitudinal study examined how self-esteem as a vulnerability differentially predicts symptom dimensions of depression in a sample of university students from Hunan Province, China. Baseline and 6-month follow-up data were obtained from 659 university students. During an initial assessment, participants completed measures assessing their low self-esteem, depressive symptoms, and the occurrence of daily hassle. Participants subsequently completed measures assessing daily hassle and depressive symptoms once per month for 6 months. Higher low self-esteem scores were associated with greater increases in the somatic complaints and positive affect dimensions, but not the depressed affect and interpersonal problem dimensions of depressive symptoms following daily hassle in Chinese university students. The results of the current study suggest that low self-esteem plays a significant role in the etiology and course of depressive symptoms that develop in response to exposure to daily hassles. Consistent with the vulnerability-stress model of depression, the results suggest that low self-esteem serves as a risk factor and daily hassles serve as a precipitating factor. © 2014 The Institute of Psychology, Chinese Academy of Sciences and Wiley Publishing Asia Pty Ltd.

  2. Early adolescent depressive symptoms: prediction from clique isolation, loneliness, and perceived social acceptance

    NARCIS (Netherlands)

    Witvliet, M.; Brendgen, M.; van Lier, P.A.C.; Koot, H.M.; Vitaro, F.

    2010-01-01

    This study examined whether clique isolation predicted an increase in depressive symptoms and whether this association was mediated by loneliness and perceived social acceptance in 310 children followed from age 11-14 years. Clique isolation was identified through social network analysis, whereas

  3. Fear of childbirth predicts postpartum depression

    DEFF Research Database (Denmark)

    Räisänen, Sari; Lehto, Soili M; Nielsen, Henriette Svarre

    2013-01-01

    To study how reproductive risks and perinatal outcomes are associated with postpartum depression treated in specialised healthcare defined according to the International Classification of Diseases (ICD)-10 codes, separately among women with and without a history of depression....

  4. Fear of childbirth and obstetrical events as predictors of postnatal symptoms of depression and post-traumatic stress disorder.

    Science.gov (United States)

    Fairbrother, Nichole; Woody, Sheila R

    2007-12-01

    This prospective study examined psychological and obstetrical predictors of enduring postpartum symptoms of depression and post-traumatic stress disorder. Contrary to prediction, prenatal fear of childbirth did not significantly predict symptoms of depression or post-traumatic stress disorder at one month postpartum, but anxiety sensitivity was an unexpected predictor that merits further investigation. Several obstetrical and neonatal variables significantly predicted symptoms of post-traumatic disorder, but not depression.

  5. Prediction of pediatric unipolar depression using multiple neuromorphometric measurements: a pattern classification approach.

    Science.gov (United States)

    Wu, Mon-Ju; Wu, Hanjing Emily; Mwangi, Benson; Sanches, Marsal; Selvaraj, Sudhakar; Zunta-Soares, Giovana B; Soares, Jair C

    2015-03-01

    Diagnosis of pediatric neuropsychiatric disorders such as unipolar depression is largely based on clinical judgment - without objective biomarkers to guide diagnostic process and subsequent therapeutic interventions. Neuroimaging studies have previously reported average group-level neuroanatomical differences between patients with pediatric unipolar depression and healthy controls. In the present study, we investigated the utility of multiple neuromorphometric indices in distinguishing pediatric unipolar depression patients from healthy controls at an individual subject level. We acquired structural T1-weighted scans from 25 pediatric unipolar depression patients and 26 demographically matched healthy controls. Multiple neuromorphometric indices such as cortical thickness, volume, and cortical folding patterns were obtained. A support vector machine pattern classification model was 'trained' to distinguish individual subjects with pediatric unipolar depression from healthy controls based on multiple neuromorphometric indices and model predictive validity (sensitivity and specificity) calculated. The model correctly identified 40 out of 51 subjects translating to 78.4% accuracy, 76.0% sensitivity and 80.8% specificity, chi-square p-value = 0.000049. Volumetric and cortical folding abnormalities in the right thalamus and right temporal pole respectively were most central in distinguishing individual patients with pediatric unipolar depression from healthy controls. These findings provide evidence that a support vector machine pattern classification model using multiple neuromorphometric indices may qualify as diagnostic marker for pediatric unipolar depression. In addition, our results identified the most relevant neuromorphometric features in distinguishing PUD patients from healthy controls. Copyright © 2015 Elsevier Ltd. All rights reserved.

  6. Confidence judgment in depression and dysphoria: the depressive realism vs. negativity hypotheses.

    Science.gov (United States)

    Szu-Ting Fu, Tiffany; Koutstaal, Wilma; Poon, Lucia; Cleare, Anthony J

    2012-06-01

    According to the negativity hypothesis, depressed individuals are over-pessimistic due to negative self-concepts. In contrast, depressive realism suggests that depressed persons are realistic compared to their nondepressed controls. However, evidence supporting depressive realism predominantly comes from judgment comparisons between controls and nonclinical dysphoric samples when the controls showed overconfident bias. This study aimed to test the validity of the two accounts in clinical depression and dysphoria. Sixty-eight participants, including healthy controls (n = 32), patients with DSM-IV major depression (n = 20), and dysphoric participants with CDC-defined chronic fatigue syndrome (n = 16) performed an adjective recognition task and reported their item-by-item confidence judgments and post-test performance estimate (PTPE). Compared to realistic PTPE made by the controls, patients with major depression showed significant underconfidence. The PTPE of the dysphoric participants was relatively accurate. Both the depressed and dysphoric participants displayed less item-by-item overconfidence as opposed to significant item-by-item overconfidence shown by the controls. The judgment-accuracy patterns of the three groups need to be replicated with larger samples using non-memory task domains. The present study confirms depressive realism in dysphoric individuals. However, toward a more severe depressive emotional state, the findings did not support depressive realism but are in line with the prediction of the negativity hypothesis. It is not possible to determine the validity of the two hypotheses when the controls are overconfident. Dissociation between item-by-item and retrospective confidence judgments is discussed. Copyright © 2011 Elsevier Ltd. All rights reserved.

  7. Prediction of Beck Depression Inventory (BDI-II) Score Using Acoustic Measurements in a Sample of Iium Engineering Students

    Science.gov (United States)

    Fikri Zanil, Muhamad; Nur Wahidah Nik Hashim, Nik; Azam, Huda

    2017-11-01

    Psychiatrist currently relies on questionnaires and interviews for psychological assessment. These conservative methods often miss true positives and might lead to death, especially in cases where a patient might be experiencing suicidal predisposition but was only diagnosed as major depressive disorder (MDD). With modern technology, an assessment tool might aid psychiatrist with a more accurate diagnosis and thus hope to reduce casualty. This project will explore on the relationship between speech features of spoken audio signal (reading) in Bahasa Malaysia with the Beck Depression Inventory scores. The speech features used in this project were Power Spectral Density (PSD), Mel-frequency Ceptral Coefficients (MFCC), Transition Parameter, formant and pitch. According to analysis, the optimum combination of speech features to predict BDI-II scores include PSD, MFCC and Transition Parameters. The linear regression approach with sequential forward/backward method was used to predict the BDI-II scores using reading speech. The result showed 0.4096 mean absolute error (MAE) for female reading speech. For male, the BDI-II scores successfully predicted 100% less than 1 scores difference with MAE of 0.098437. A prediction system called Depression Severity Evaluator (DSE) was developed. The DSE managed to predict one out of five subjects. Although the prediction rate was low, the system precisely predict the score within the maximum difference of 4.93 for each person. This demonstrates that the scores are not random numbers.

  8. Prediction of persistent hemodynamic depression after carotid angioplasty and stenting using artificial neural network model.

    Science.gov (United States)

    Jeon, Jin Pyeong; Kim, Chulho; Oh, Byoung-Doo; Kim, Sun Jeong; Kim, Yu-Seop

    2018-01-01

    To assess and compare predictive factors for persistent hemodynamic depression (PHD) after carotid artery angioplasty and stenting (CAS) using artificial neural network (ANN) and multiple logistic regression (MLR) or support vector machines (SVM) models. A retrospective data set of patients (n=76) who underwent CAS from 2007 to 2014 was used as input (training cohort) to a back-propagation ANN using TensorFlow platform. PHD was defined when systolic blood pressure was less than 90mmHg or heart rate was less 50 beats/min that lasted for more than one hour. The resulting ANN was prospectively tested in 33 patients (test cohort) and compared with MLR or SVM models according to accuracy and receiver operating characteristics (ROC) curve analysis. No significant difference in baseline characteristics between the training cohort and the test cohort was observed. PHD was observed in 21 (27.6%) patients in the training cohort and 10 (30.3%) patients in the test cohort. In the training cohort, the accuracy of ANN for the prediction of PHD was 98.7% and the area under the ROC curve (AUROC) was 0.961. In the test cohort, the number of correctly classified instances was 32 (97.0%) using the ANN model. In contrast, the accuracy rate of MLR or SVM model was both 75.8%. ANN (AUROC: 0.950; 95% CI [confidence interval]: 0.813-0.996) showed superior predictive performance compared to MLR model (AUROC: 0.796; 95% CI: 0.620-0.915, p<0.001) or SVM model (AUROC: 0.885; 95% CI: 0.725-0.969, p<0.001). The ANN model seems to have more powerful prediction capabilities than MLR or SVM model for persistent hemodynamic depression after CAS. External validation with a large cohort is needed to confirm our results. Copyright © 2017. Published by Elsevier B.V.

  9. Late onset depression: A recent update

    Directory of Open Access Journals (Sweden)

    Ananya Mahapatra

    2015-01-01

    Full Text Available Late onset depression has recently emerged as a serious mental health issue in the geriatric population with significant public health implications. It is often challenging to diagnose and treat this entity. Various theories have been postulated to elucidate the etiology of late onset depression, but a unifying hypothesis is lacking. Although the vascular hypothesis is most researched; a complex interaction of multiple vulnerability factors is the current focus of attention. Numerous psychosocial variables have been implicated to play a significant role in predicting the onset and severity of late-life depression. Phenomenological differences have been delineated from depression occurring at a younger age, but the findings are equivocal. A better understanding of the natural trajectory of depression in the elderly is required for early diagnosis and effective treatment. This review attempts to summarize the current status of evidence regarding epidemiology, etiology, clinical features, and treatment options available for late-onset depression.

  10. Does caregiver well-being predict stroke survivor depressive symptoms? A mediation analysis.

    Science.gov (United States)

    Grant, Joan S; Clay, Olivio J; Keltner, Norman L; Haley, William E; Wadley, Virginia G; Perkins, Martinique M; Roth, David L

    2013-01-01

    Studies suggest that family caregiver well-being (ie, depressive symptoms and life satisfaction) may affect stroke survivor depressive symptoms. We used mediation analysis to assess whether caregiver well-being might be a factor explaining stroke survivor depressive symptoms, after controlling for demographic factors and stroke survivor impairments and problems. Caregiver/stroke participant dyads (N = 146) completed measures of stroke survivor impairments and problems and depressive symptoms and caregiver depressive symptoms and life satisfaction. Mediation analysis was used to examine whether caregiver well-being mediated the relationship between stroke survivor impairments and problems and stroke survivor depressive symptoms. As expected, more stroke survivor problems and impairments were associated with higher levels of stroke survivor depressive symptoms (P mediated by caregiver life satisfaction (29.29%) and caregiver depressive symptoms (32.95%). Although these measures combined to account for 40.50% of the relationship between survivor problems and impairments and depressive symptoms, the direct effect remained significant. Findings indicate that stroke survivor impairments and problems may affect family caregivers and stroke survivors and a high level of caregiver distress may result in poorer outcomes for stroke survivors. Results highlight the likely importance of intervening with both stroke survivors and family caregivers to optimize recovery after stroke.

  11. Do personality traits predict first onset in depressive and bipolar disorder?

    DEFF Research Database (Denmark)

    Christensen, Maj Vinberg; Kessing, Lars Vedel

    2006-01-01

    The aim was to investigate whether personality traits predict onset of the first depressive or manic episode (the vulnerability hypothesis) and whether personality might be altered by the mood disorder (the scar hypothesis). A systematic review of population-based and high-risk studies concerning...... personality traits and affective disorder in adults was conducted. Nine cross-sectional high-risk studies, seven longitudinal high-risk studies and nine longitudinal population-based studies were found. Most studies support the vulnerability hypothesis and there is evidence that neuroticism is a premorbid...... risk factor for developing depressive disorder. The evidence for the scar hypothesis is sparse, but the studies with the strongest design showed evidence for both hypotheses. Only few studies of bipolar disorder were found and the association between personality traits and bipolar disorder is unclear...

  12. Spiritual Struggle in Parents of Children with Cystic Fibrosis Increases Odds of Depression

    Directory of Open Access Journals (Sweden)

    Rhonda D. Szczesniak

    2017-01-01

    Full Text Available Objective. Spiritual struggle (SS is associated with poorer health outcomes including depression. The study’s main objectives were to characterize change in depression over time, examine longitudinal associations between SS and depression, and determine the extent to which experiencing SS at baseline was predictive of developing depression at follow-up. Methods. A two-site study collected questionnaire responses of parents (N=112; 72% female of children with cystic fibrosis followed longitudinally. Generalized linear mixed effects modeling examined the association between depression and SS over time and assessed potential mediators, moderators, and confounders. Results. Prevalence of depression increased from baseline to follow-up (OR: 3.6, P<0.0001, regardless of degree of SS. Parents with Moderate/Severe SS were more likely to have depressive symptoms, compared to parents without SS (OR: 15.2, P=0.0003 and parents who had Mild SS (OR: 10.2, P=0.0001. Being female and feeling less “at peace” also significantly predicted increased depression (OR: 2.5, P=0.0397, and OR: 1.15, P=0.0419, resp.. Experiencing SS at baseline was not predictive of having depression subsequently at follow-up. Conclusions. Parents experiencing SS were significantly more likely to report depressive symptoms. Interventions to reduce SS have shown efficacy and may be considered.

  13. Do burnout and work engagement predict depressive symptoms and life satisfaction? A three-wave seven-year prospective study.

    Science.gov (United States)

    Hakanen, Jari J; Schaufeli, Wilmar B

    2012-12-10

    Burnout and work engagement have been viewed as opposite, yet distinct states of employee well-being. We investigated whether work-related indicators of well-being (i.e. burnout and work engagement) spill-over and generalize to context-free well-being (i.e. depressive symptoms and life satisfaction). More specifically, we examined the causal direction: does burnout/work engagement lead to depressive symptoms/life satisfaction, or the other way around? Three surveys were conducted. In 2003, 71% of all Finnish dentists were surveyed (n=3255), and the response rate of the 3-year follow-up was 84% (n=2555). The second follow-up was conducted four years later with a response rate of 86% (n=1964). Structural equation modeling was used to investigate the cross-lagged associations between the study variables across time. Burnout predicted depressive symptoms and life dissatisfaction from T1 to T2 and from T2 to T3. Conversely, work engagement had a negative effect on depressive symptoms and a positive effect on life satisfaction, both from T1 to T2 and from T2 to T3, even after adjusting for the impact of burnout at every occasion. The study was conducted among one occupational group, which limits its generalizability. Work-related well-being predicts general wellbeing in the long-term. For example, burnout predicts depressive symptoms and not vice versa. In addition, burnout and work engagement are not direct opposites. Instead, both have unique, incremental impacts on life satisfaction and depressive symptoms. Copyright © 2012 Elsevier B.V. All rights reserved.

  14. Age of major depression onset, depressive symptoms, and risk for subsequent dementia: results of the German study on Ageing, Cognition, and Dementia in Primary Care Patients (AgeCoDe).

    Science.gov (United States)

    Heser, K; Tebarth, F; Wiese, B; Eisele, M; Bickel, H; Köhler, M; Mösch, E; Weyerer, S; Werle, J; König, H-H; Leicht, H; Pentzek, M; Fuchs, A; Riedel-Heller, S G; Luppa, M; Prokein, J; Scherer, M; Maier, W; Wagner, M

    2013-08-01

    Whether late-onset depression is a risk factor for or a prodrome of dementia remains unclear. We investigated the impact of depressive symptoms and early- v. late-onset depression on subsequent dementia in a cohort of elderly general-practitioner patients (n = 2663, mean age = 81.2 years). Risk for subsequent dementia was estimated over three follow-ups (each 18 months apart) depending on history of depression, particularly age of depression onset, and current depressive symptoms using proportional hazard models. We also examined the additive prediction of incident dementia by depression beyond cognitive impairment. An increase of dementia risk for higher age cut-offs of late-onset depression was found. In analyses controlling for age, sex, education, and apolipoprotein E4 genotype, we found that very late-onset depression (aged ≥ 70 years) and current depressive symptoms separately predicted all-cause dementia. Combined very late-onset depression with current depressive symptoms was specifically predictive for later Alzheimer's disease (AD; adjusted hazard ratio 5.48, 95% confidence interval 2.41-12.46, p < 0.001). This association was still significant after controlling for cognitive measures, but further analyses suggested that it was mediated by subjective memory impairment with worries. Depression might be a prodrome of AD but not of dementia of other aetiology as very late-onset depression in combination with current depressive symptoms, possibly emerging as a consequence of subjectively perceived worrisome cognitive deterioration, was most predictive. As depression parameters and subjective memory impairment predicted AD independently of objective cognition, clinicians should take this into account.

  15. Predicting borderline personality disorder symptoms in adolescents from childhood physical and relational aggression, depression, and attention-deficit/hyperactivity disorder.

    Science.gov (United States)

    Vaillancourt, Tracy; Brittain, Heather L; McDougall, Patricia; Krygsman, Amanda; Boylan, Khrista; Duku, Eric; Hymel, Shelley

    2014-08-01

    Developmental cascade models linking childhood physical and relational aggression with symptoms of depression and attention-deficit/hyperactivity disorder (ADHD; assessed at ages 10, 11, 12, 13, and 14) to borderline personality disorder (BPD) features (assessed at age 14) were examined in a community sample of 484 youth. Results indicated that, when controlling for within-time covariance and across-time stability in the examination of cross-lagged relations among study variables, BPD features at age 14 were predicted by childhood relational aggression and symptoms of depression for boys, and physical and relational aggression, symptoms of depression, and symptoms of ADHD for girls. Moreover, for boys BPD features were predicted from age 10 ADHD through age 12 depression, whereas for girls the pathway to elevated BPD features at age 14 was from depression at age 10 through physical aggression symptoms at age 12. Controlling for earlier associations among variables, we found that for girls the strongest predictor of BPD features at age 14 was physical aggression, whereas for boys all the risk indicators shared a similar predictive impact. This study adds to the growing literature showing that physical and relational aggression ought to be considered when examining early precursors of BPD features.

  16. Chronic and Acute Stress, Gender, and Serotonin Transporter Gene-Environment Interactions Predicting Depression Symptoms in Youth

    Science.gov (United States)

    Hammen, Constance; Brennan, Patricia A.; Keenan-Miller, Danielle; Hazel, Nicholas A.; Najman, Jake M.

    2010-01-01

    Background: Many recent studies of serotonin transporter gene by environment effects predicting depression have used stress assessments with undefined or poor psychometric methods, possibly contributing to wide variation in findings. The present study attempted to distinguish between effects of acute and chronic stress to predict depressive…

  17. Major depression in mothers predicts reduced ventral striatum activation in adolescent female offspring with and without depression.

    Science.gov (United States)

    Sharp, Carla; Kim, Sohye; Herman, Levi; Pane, Heather; Reuter, Tyson; Strathearn, Lane

    2014-05-01

    Prior research has identified reduced reward-related brain activation as a promising endophenotype for the early identification of adolescents with major depressive disorder (MDD). However, it is unclear whether reduced reward-related brain activation constitutes a true vulnerability for MDD. One way of studying vulnerability is through a high-risk design. Therefore, the aim of the current study was to determine whether reward-related activation of the ventral striatum is reduced in nondepressed daughters of mothers with a history of MDD (high-risk) similarly to currently depressed adolescent girls, compared with healthy controls. By directly comparing groups with a shared risk profile during differing states, we aimed to shed light on the endophenotypic nature of reduced reward processing for adolescent depression. We compared reward-related neural activity through functional magnetic resonance imaging (fMRI) between three groups of female biological offspring (N = 52) of mothers with differential MDD status: (a) currently depressed daughters of mothers with a history of MDD (MDD group; n = 14), (b) age- and socioeconomic status (SES)-matched never-depressed daughters of mothers with a history of MDD (high-risk group; n = 19), and (c) age- and SES-matched control daughters of mothers with no past or current psychopathology in either the mother or the daughter (healthy control group; n = 19). For the outcome phase of the reward task, right-sided ventral striatum activation was reduced for both currently depressed and high-risk girls compared with healthy controls. This ventral striatal activity correlated significantly with maternal depression scores. These findings provide further evidence of aberrant functioning for the United States Department of Health & Human Services, National Institutes of Health, National Institute of Mental Health (NIMH) Research Domain Criteria (RDoC)-defined domain of positive valence systems as a vulnerability factor for MDD and a

  18. Depressed and absent from work: Predicting prolonged depressive symptomatology among employees

    NARCIS (Netherlands)

    Brenninkmeijer, V.; Houtman, I.; Blonk, R.

    2008-01-01

    Background: The World Health Organization considers depression a major health problem and a leading cause of disability. Aim To identify factors which may help to reduce depressive symptoms in a sample of employees sick listed due to mental health problems. Methods: Longitudinal cohort study of

  19. The negativity bias predicts response rate to Behavioral Activation for depression.

    Science.gov (United States)

    Gollan, Jackie K; Hoxha, Denada; Hunnicutt-Ferguson, Kallio; Norris, Catherine J; Rosebrock, Laina; Sankin, Lindsey; Cacioppo, John

    2016-09-01

    This treatment study investigated the extent to which asymmetric dimensions of affective responding, specifically the positivity offset and the negativity bias, at pretreatment altered the rate of response to Behavioral Activation treatment for depression. Forty-one depressed participants were enrolled into 16 weekly sessions of BA. An additional 36 lifetime healthy participants were evaluated prospectively for 16 weeks to compare affective responding between healthy and remitted patients at post-treatment. All participants were assessed at Weeks 0, 8 and 16 using repeated measures, involving a structured clinical interview for DSM-IV Axis I disorders, questionnaires, and a computerized task designed to measure affective responses to unpleasant, neutral, and pleasant images. The negativity bias at pre-treatment predicted the rate of response to BA, while the positivity offset did not. Only one treatment condition was used in this study and untreated depressed participants were not enrolled, limiting our ability to compare the effect of BA. Baseline negativity bias may serve as a signal for patients to engage in and benefit from the goal-directed BA strategies, thereby accelerating rate of response. Copyright © 2015 Elsevier Ltd. All rights reserved.

  20. Impact of childhood trauma on postpartum depression: a prospective study.

    Science.gov (United States)

    De Venter, Maud; Smets, Jorien; Raes, Filip; Wouters, Kristien; Franck, Erik; Hanssens, Myriam; Jacquemyn, Yves; Sabbe, Bernard G C; Van Den Eede, Filip

    2016-04-01

    Studies on the impact of childhood trauma on postpartum depression show inconsistencies and methodological limitations. The present study examines the effect of childhood trauma on depression 12 and 24 weeks after childbirth, while controlling for history of depression, depression symptoms during pregnancy and type D personality. During the third trimester of pregnancy, 210 women completed self-report questionnaires assessing depression (current and/or past episodes), childhood trauma and type D personality, of whom 187 participated in the postpartum follow-up, with depression symptoms being reassessed at 12 and 24 weeks after delivery with three depression outcome measures. Eventually, 183 participants were retained for analysis. Results indicated no predictive value of childhood trauma on postpartum depression in the univariate analyses, nor after controlling for previous depression, depression symptoms during pregnancy and type D personality. However, past depression and depression symptoms during pregnancy did independently and convincingly predict postpartum depression, especially at 12 weeks and to a lesser extent at 24 weeks following childbirth. Overall, we found no significant association between childhood trauma and postpartum depression. Past depression and depression symptoms during pregnancy are more relevant factors to assess before childbirth.

  1. Specificity in autobiographical memory narratives correlates with performance on the Autobiographical Memory Test and prospectively predicts depressive symptoms

    Science.gov (United States)

    Sumner, Jennifer A.; Mineka, Susan; McAdams, Dan P.

    2012-01-01

    Reduced autobiographical memory specificity (AMS) is an important cognitive marker in depression that is typically measured with the Autobiographical Memory Test (AMT; Williams & Broadbent, 1986). The AMT is widely used, but the overreliance on a single methodology for assessing AMS is a limitation in the field. The current study investigated memory narratives as an alternative measure of AMS in an undergraduate student sample selected for being high or low on a measure of depressive symptoms (N = 55). We employed a multi-method design to compare narrative- and AMT-based measures of AMS. Participants generated personally significant self-defining memory narratives, and also completed two versions of the AMT (with and without instructions to retrieve specific memories). Greater AMS in self-defining memory narratives correlated with greater AMS in performance on both versions of the AMT in the full sample, and the patterns of relationships between the different AMS measures were generally similar in low and high dysphoric participants. Furthermore, AMS in self-defining memory narratives was prospectively associated with depressive symptom levels. Specifically, greater AMS in self-defining memory narratives predicted fewer depressive symptoms at a 10-week follow-up over and above baseline symptom levels. Implications for future research and clinical applications are discussed. PMID:23240988

  2. Patients’ Opinions about Knowing Their Risk for Depression and What to Do about It. The PredictD-Qualitative Study

    Science.gov (United States)

    Bellón, Juan Á.; Moreno-Peral, Patricia; Moreno-Küstner, Berta; Motrico, Emma; Aiarzagüena, José M.; Fernández, Anna; Fernández-Alonso, Carmen; Montón-Franco, Carmen; Rodríguez-Bayón, Antonina; Ballesta-Rodríguez, María Isabel; Rüntel-Geidel, Ariadne; Payo-Gordón, Janire; Serrano-Blanco, Antoni; Oliván-Blázquez, Bárbara; Araujo, Luz; Muñoz-García, María del Mar; King, Michael; Nazareth, Irwin; Amezcua, Manuel

    2014-01-01

    Background The predictD study developed and validated a risk algorithm for predicting the onset of major depression in primary care. We aimed to explore the opinion of patients about knowing their risk for depression and the values and criteria upon which these opinions are based. Methods A maximum variation sample of patients was taken, stratified by city, age, gender, immigrant status, socio-economic status and lifetime depression. The study participants were 52 patients belonging to 13 urban health centres in seven different cities around Spain. Seven Focus Groups (FGs) were given held with primary care patients, one for each of the seven participating cities. Results The results showed that patients generally welcomed knowing their risk for depression. Furthermore, in light of available evidence several patients proposed potential changes in their lifestyles to prevent depression. Patients generally preferred to ask their General Practitioners (GPs) for advice, though mental health specialists were also mentioned. They suggested that GPs undertake interventions tailored to each patient, from a “patient-centred” approach, with certain communication skills, and giving advice to help patients cope with the knowledge that they are at risk of becoming depressed. Conclusions Patients are pleased to be informed about their risk for depression. We detected certain beliefs, attitudes, values, expectations and behaviour among the patients that were potentially useful for future primary prevention programmes on depression. PMID:24646951

  3. Patients' opinions about knowing their risk for depression and what to do about it. The predictD-qualitative study.

    Directory of Open Access Journals (Sweden)

    Juan Á Bellón

    Full Text Available The predictD study developed and validated a risk algorithm for predicting the onset of major depression in primary care. We aimed to explore the opinion of patients about knowing their risk for depression and the values and criteria upon which these opinions are based.A maximum variation sample of patients was taken, stratified by city, age, gender, immigrant status, socio-economic status and lifetime depression. The study participants were 52 patients belonging to 13 urban health centres in seven different cities around Spain. Seven Focus Groups (FGs were given held with primary care patients, one for each of the seven participating cities.The results showed that patients generally welcomed knowing their risk for depression. Furthermore, in light of available evidence several patients proposed potential changes in their lifestyles to prevent depression. Patients generally preferred to ask their General Practitioners (GPs for advice, though mental health specialists were also mentioned. They suggested that GPs undertake interventions tailored to each patient, from a "patient-centred" approach, with certain communication skills, and giving advice to help patients cope with the knowledge that they are at risk of becoming depressed.Patients are pleased to be informed about their risk for depression. We detected certain beliefs, attitudes, values, expectations and behaviour among the patients that were potentially useful for future primary prevention programmes on depression.

  4. Instagram photos reveal predictive markers of depression

    OpenAIRE

    Reece, Andrew G.; Danforth, Christopher M.

    2016-01-01

    Using Instagram data from 166 individuals, we applied machine learning tools to successfully identify markers of depression. Statistical features were computationally extracted from 43,950 participant Instagram photos, using color analysis, metadata components, and algorithmic face detection. Resulting models outperformed general practitioners' average diagnostic success rate for depression. These results held even when the analysis was restricted to posts made before depressed individuals we...

  5. Assessment of genetic and nongenetic interactions for the prediction of depressive symptomatology: an analysis of the Wisconsin Longitudinal Study using machine learning algorithms.

    Science.gov (United States)

    Roetker, Nicholas S; Page, C David; Yonker, James A; Chang, Vicky; Roan, Carol L; Herd, Pamela; Hauser, Taissa S; Hauser, Robert M; Atwood, Craig S

    2013-10-01

    We examined depression within a multidimensional framework consisting of genetic, environmental, and sociobehavioral factors and, using machine learning algorithms, explored interactions among these factors that might better explain the etiology of depressive symptoms. We measured current depressive symptoms using the Center for Epidemiologic Studies Depression Scale (n = 6378 participants in the Wisconsin Longitudinal Study). Genetic factors were 78 single nucleotide polymorphisms (SNPs); environmental factors-13 stressful life events (SLEs), plus a composite proportion of SLEs index; and sociobehavioral factors-18 personality, intelligence, and other health or behavioral measures. We performed traditional SNP associations via logistic regression likelihood ratio testing and explored interactions with support vector machines and Bayesian networks. After correction for multiple testing, we found no significant single genotypic associations with depressive symptoms. Machine learning algorithms showed no evidence of interactions. Naïve Bayes produced the best models in both subsets and included only environmental and sociobehavioral factors. We found no single or interactive associations with genetic factors and depressive symptoms. Various environmental and sociobehavioral factors were more predictive of depressive symptoms, yet their impacts were independent of one another. A genome-wide analysis of genetic alterations using machine learning methodologies will provide a framework for identifying genetic-environmental-sociobehavioral interactions in depressive symptoms.

  6. International Study to Predict Optimized Treatment for Depression (iSPOT-D, a randomized clinical trial: rationale and protocol

    Directory of Open Access Journals (Sweden)

    Cooper Nicholas J

    2011-01-01

    Full Text Available Abstract Background Clinically useful treatment moderators of Major Depressive Disorder (MDD have not yet been identified, though some baseline predictors of treatment outcome have been proposed. The aim of iSPOT-D is to identify pretreatment measures that predict or moderate MDD treatment response or remission to escitalopram, sertraline or venlafaxine; and develop a model that incorporates multiple predictors and moderators. Methods/Design The International Study to Predict Optimized Treatment - in Depression (iSPOT-D is a multi-centre, international, randomized, prospective, open-label trial. It is enrolling 2016 MDD outpatients (ages 18-65 from primary or specialty care practices (672 per treatment arm; 672 age-, sex- and education-matched healthy controls. Study-eligible patients are antidepressant medication (ADM naïve or willing to undergo a one-week wash-out of any non-protocol ADM, and cannot have had an inadequate response to protocol ADM. Baseline assessments include symptoms; distress; daily function; cognitive performance; electroencephalogram and event-related potentials; heart rate and genetic measures. A subset of these baseline assessments are repeated after eight weeks of treatment. Outcomes include the 17-item Hamilton Rating Scale for Depression (primary and self-reported depressive symptoms, social functioning, quality of life, emotional regulation, and side-effect burden (secondary. Participants may then enter a naturalistic telephone follow-up at weeks 12, 16, 24 and 52. The first half of the sample will be used to identify potential predictors and moderators, and the second half to replicate and confirm. Discussion First enrolment was in December 2008, and is ongoing. iSPOT-D evaluates clinical and biological predictors of treatment response in the largest known sample of MDD collected worldwide. Trial registration International Study to Predict Optimised Treatment - in Depression (iSPOT-D ClinicalTrials.gov Identifier

  7. The Role of Health Locus of Control in Predicting Depression Symptoms in a Sample of Iranian Older Adults with Chronic Diseases.

    Science.gov (United States)

    Aflakseir, Abdul-Aziz; Mohammad-Abadi, Mohammad-Saleh

    2016-04-01

    The purpose of this study was to examine the prediction of depression on a group of Iranian older adults based on components of health locus of control. Sixty-six men and 42 women over the age of 55 were recruited from the retirement clubs in Shiraz, using convenience sampling. The participants completed the research questionnaires including the Geriatric Depression Scale (GDS) and the Multidimensional Health Locus of Control Scale (MHLC). The findings on health locus of control revealed that the highest score was on internal locus of control followed by God, powerful others and chance. The mean score on depression was on a normal range. Multiple regression analysis showed that two independent variables including internal control (ß = -.32, p control (ß = -.20, = p locus of control such as chance and powerful others as well as age did not predict depression. Findings also revealed that the independents variables explained 26% of the total variance of depression (R2 = .26, p locus of control on depression.

  8. Selective neurocognitive deficits and poor life functioning are associated with significant depressive symptoms in alcoholism-HIV infection comorbidity

    OpenAIRE

    Sassoon, Stephanie A.; Rosenbloom, Margaret J.; Fama, Rosemary; Sullivan, Edith V.; Pfefferbaum, Adolf

    2012-01-01

    Alcoholism, HIV, and depressive symptoms frequently co-occur and are associated with impairment in cognition and life function. We administered the Beck Depression Inventory-II (BDI-II), measures of life function, and neurocognitive tests to 67 alcoholics, 56 HIV+ patients, 63 HIV+ alcoholics, and 64 controls to examine whether current depressive symptom level (significant, BDI-II ≥ 14 vs. minimal, BDI-II < 14) was associated with poorer cognitive or psychosocial function in alcoholism-HIV co...

  9. Risk Factors for Depression in the Emerging Adulthood

    Directory of Open Access Journals (Sweden)

    Sándor Lisznyai

    2014-03-01

    Full Text Available Emerging adulthood is a period from the late teens through the twenties, when individuals are faced with more transitions and life-decisions than at any other stage of life. For the majority, psychological well-being is improved in this period, but for a significant number of individuals these challenges and contingencies entail many controversies, which in turn can lead to depression or anxiety. This paper focuses on the background of, and risk factors behind, high level depression among university students, who are typically in this life stage, in order to identify the typical client characteristics of a university counselling centre. 773 university students completed an online survey measuring depression symptoms, socioeconomic status, distal and proximal social capital, bullying, substance abuse and indirect aspects of mental health as mediate variables. 13.6% of the participants reported moderate or major depression symptoms. Using hierarchical multiple regression, male gender and poor financial situation were found to predict higher depression. After controlling for the effects of background variables, social capital factors, identity status and life skills made a significant contribution to the prediction of lower depression. This supports the idea of the importance of social skills in enabling the individual to create their own social circle and joining the community of young people at the university.

  10. Self-reported interpersonal problems and impact messages as perceived by significant others are differentially associated with the process and outcome of depression therapy.

    Science.gov (United States)

    Altenstein-Yamanaka, David; Zimmermann, Johannes; Krieger, Tobias; Dörig, Nadja; Grosse Holtforth, Martin

    2017-07-01

    Interpersonal factors play a major role in causing and maintaining depression. This study sought to investigate how patients' self-perceived interpersonal problems and impact messages as perceived by significant others are interrelated, change over therapy, and differentially predict process and outcome in psychotherapy of depression. For the present study, we used data from 144 outpatients suffering from major depression that were treated within a psychotherapy study. Interpersonal variables were assessed pre- and posttherapy with the self-report Inventory of Interpersonal Problems-Circumplex Scale (IIP-32; Thomas, Brähler, & Strauss, 2011) and with the informant-based Impact Message Inventory (Caspar, Berger, Fingerle, & Werner, 2016). Patients' levels on the dimensions of Agency and Communion were calculated from both measures; their levels on Interpersonal Distress were measured with the IIP. Depressive and general symptomatology was assessed at pre-, post-, and at 3-month follow-up; patient-reported process measures were assessed during therapy. The Agency scores of IIP and IMI correlated moderately, but the Communion scores did not. IIP Communion was positively associated with the quality of the early therapeutic alliance and with the average level of cognitive-emotional processing during therapy. Whereas IIP Communion and IMI Agency increased over therapy, IIP Distress decreased. A pre-post-decrease in IIP Distress was positively associated with pre-postsymptomatic change over and above the other interpersonal variables, but pre-post-increase in IMI Agency was positively associated with symptomatic improvement from post- to 3-month follow-up. These findings suggest that significant others seem to provide important additional information about the patients' interpersonal style. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  11. Activities of daily living, depression, and quality of life in Parkinson's disease.

    Directory of Open Access Journals (Sweden)

    Blake J Lawrence

    Full Text Available This study examined whether activities of daily living (ADL mediate the relationship between depression and health-related quality of life (HR-QOL in people with Parkinson's disease (PD. A cross-sectional, correlational research design examined data from 174 participants who completed the Geriatric Depression Scale (GDS-15, Parkinson's Disease Questionnaire-39 (PDQ-39, and Unified Parkinson's Disease Rating Scale-section 2 (UPDRS-section 2 [ADL]. Multiple Regression Analysis (MRA was used to examine the mediator model. Depression and ADL significantly (p<.001 predicted HR-QOL, and depression significantly (p<.001 predicted ADL. Whilst ADL did not impact on the relationship between depression and HR-QOL, there was a significant (p<.001 indirect effect of depression on HR-QOL via ADL, suggesting both direct and indirect (via ADL effects of depression on HR-QOL. The magnitude of this effect was moderate (R2 = .13. People with PD who report depression also experience greater difficulty completing ADL, which impacts upon their HR-QOL. It is recommended that clinicians adopt a multidisciplinary approach to care by combining pharmacological treatments with psycho/occupational therapy, thereby alleviating the heterogeneous impact of motor and non-motor symptoms on HR-QOL in people with PD.

  12. The Costs of Depression

    OpenAIRE

    Kessler, Ronald C.

    2011-01-01

    Data are reviewed on the societal costs of major depressive disorder (MDD). Early-onset MDD is found to predict difficulties in subsequent role transitions, including low educational attainment, high risk of teen child-bearing, marital disruption, and unstable employment. Among people with specific social and productive roles, MDD is found to predict significant decrements in role functioning (e.g., low marital quality, low work performance, low earnings). MDD is also associated with elevated...

  13. Predictive value of object relations for therapeutic alliance and outcome in psychotherapy for depression: an exploratory study.

    Science.gov (United States)

    Van, Henricus L; Hendriksen, Mariëlle; Schoevers, Robert A; Peen, Jaap; Abraham, Robert A; Dekker, Jack

    2008-09-01

    The concept of object relations has been shown to be relevant for the process and outcome of psychodynamic psychotherapies. However, little is known about its relevance for the psychotherapeutic treatment of depression. In this study, we explored the predictive value of object relational functioning (ORF) for the therapeutic alliance and outcome of short-term psychodynamic supportive psychotherapy in patients with mild to moderately severe depression. The ORF of 81 patients was rated by using the Developmental Profile. The overall maturity of ORF measured at baseline was higher in patients who showed a better treatment response. In multiple regression analysis, the adaptive level of individuation appeared to be specifically predictive of outcome. Patients with a recurrent depression showed less mature levels of ORF, lower adaptive levels and a higher score on the symbiotic level. No association was found between ORF and therapeutic alliance during treatment. In contrast to the single measure of alliance early in therapy, the growth of the alliance was related to outcome. The study indicated the relevance of ORF for depression and established that it is distinctive from the actual therapeutic alliance.

  14. Screening and Predicting Posttraumatic Stress and Depression in Children Following Single-Incident Trauma

    Science.gov (United States)

    Nixon, Reginald D. V.; Ellis, Alicia A.; Nehmy, Thomas J.; Ball, Shelley-Anne

    2010-01-01

    Three screening methods to predict posttraumatic stress disorder (PTSD) and depression symptoms in children following single-incident trauma were tested. Children and adolescents (N = 90; aged 7-17 years) were assessed within 4 weeks of an injury that led to hospital treatment and followed up 3 and 6 months later. Screening methods were adapted…

  15. Depressive symptoms in the first year from diagnosis of Type 2 diabetes

    DEFF Research Database (Denmark)

    Skinner, T. C.; Carey, M. E.; Cradock, S.

    2010-01-01

    the Depression scale of the Hospital Anxiety and Depression Scale after diagnosis and at 4, 8 and 12 months follow-up. Participants also completed the Problem Areas in Diabetes scale at 8 and 12 months follow-up. We present descriptive statistics on prevalence and persistence of depressive symptoms. Logistic......Aims To describe the course of depressive symptoms during the first year after diagnosis of Type 2 diabetes. Methods Post hoc analysis of data from a randomized controlled trial of self-management education for 824 individuals newly diagnosed with Type 2 diabetes. Participants completed...... regression is used to predict possible depression cases, and multiple regression to predict depressive symptomatology. Results The prevalence of depressive symptoms in individuals recently diagnosed with diabetes (18-22% over the year) was not significantly different from normative data for the general...

  16. The Depression, Anxiety and Stress Scale (DASS-21) as a Screener for Depression in Substance Use Disorder Inpatients: A Pilot Study.

    Science.gov (United States)

    Beaufort, Ilse N; De Weert-Van Oene, Gerdien H; Buwalda, Victor A J; de Leeuw, J Rob J; Goudriaan, Anna E

    2017-01-01

    Depression is a common co-morbid disorder in substance use disorder (SUD) patients. Hence, valid instruments are needed to screen for depression in this subpopulation. In this study, the predictive validity of the Depression, Anxiety and Stress Scale (DASS-21) for the presence of a depressive disorder was investigated in SUD inpatients. Furthermore, differences between DASS-21 scores at intake and those recorded one week after inpatient detoxification were assessed in order to determine the measurement point of the assessment of the DASS-21 leading to the best predictive validity. The DASS-21 was administered to 47 patients at intake and shortly after inpatient detoxification. The results of the DASS-21 were compared to the Mini International Neuropsychiatric Interview (MINI), which served as the gold standard. Levels of sensitivity and specificity of 78-89% and 71-76% were found for the DASS-21 assessed after detoxification, satisfactorily predicting depression as diagnosed with the MINI. Total DASS-21 scores as well as the DASS subscale for depression were significantly reduced at the second measurement, compared to the DASS at intake. We conclude that the DASS-21 may be a suitable instrument to screen for depressive disorders in SUD patients when administered (shortly) after detoxification. Future research is needed to support this conclusion. © 2017 The Author(s) Published by S. Karger AG, Basel.

  17. Coping Styles, Aggression and Interpersonal Conflicts among Depressed and Non-Depressed People.

    Science.gov (United States)

    Nazir, Amber; Mohsin, Humaira

    2013-01-01

    The present study compared people with depressive symptoms and people without depressive symptoms with reference to their coping styles, level of aggression and interpersonal conflicts. A purposive sample of 128 people (64 depressed and 64 normal controls)was selected from four different teaching hospitals of Lahore. Both the groups were matched on four demographic levels i.e. age, gender, education and monthly income. Symptom Checklist-R was used to screen out depressed and non-depressed people. The Brief COPE, the Aggression Questionnaire and the Bergen Social Relationship Scale were used to assess coping styles, aggression and interpersonal conflicts respectively. The Independent t-test was used to compare the groups. Binary logistic Regression was also carried out to predict the role of research variables in causing depression. The results showed that level of aggression and interpersonal conflict was significantly more in people with depressive symptoms as compared to control group. On the other hand control group was using more adaptive coping styles than people with depressive symptoms but no difference was found in the use of maladaptive coping styles. The present findings revealed that coping styles, aggression and interpersonal conflicts play important role in depression. Therefore, these dimensions must be considered while dealing with the depressive patients. Implications for preventive work are also discussed in the light of previous researches.

  18. Coping Styles, Aggression and Interpersonal Conflicts among Depressed and Non-Depressed People

    Directory of Open Access Journals (Sweden)

    Amber Nazir

    2013-06-01

    Full Text Available Background: The present study compared people with depressive symp¬toms and people without depressive symptoms with reference to their coping styles, level of aggression and interpersonal conflicts.Methods: A purposive sample of 128 people (64 depressed and 64 normal controls was selected from four different teaching hospitals of Lahore. Both the groups were matched on four demographic levels i.e. age, gender, education and monthly income. Symptom Checklist-R was used to screen out depressed and non-depressed people. The Brief COPE, the Aggres¬sion Questionnaire and the Bergen Social Relationship Scale were used to assess coping styles, aggression and interpersonal conflicts respectively. The Independent t-test was used to compare the groups. Binary logistic Regression was also carried out to predict the role of research variables in causing depression.Results: The results showed that level of aggression and interpersonal conflict was significantly more in people with depressive symptoms as compared to control group. On the other hand control group was using more adaptive coping styles than people with depressive symptoms but no difference was found in the use of maladaptive coping styles. Conclusion: The present findings revealed that coping styles, aggression and interpersonal conflicts play important role in depression. Therefore, these dimen-sions must be considered while dealing with the depressive patients. Implications for preventive work are also discussed in the light of previous researches.

  19. Adolescent attachment, family functioning and depressive symptoms

    Directory of Open Access Journals (Sweden)

    Nishola Rawatlal

    2015-08-01

    Full Text Available Background. Adolescence represents a challenging transitional period where changes in biological, emotional, cognitive and social domains can increase the risk of developing internalised problems including subthreshold depression. Adolescent-parent attachment style, perceived support and family functioning may increase risk for depressive symptoms or may reduce such risk. Adolescent-parent attachment, adolescent-perceived support from parents and family functioning were examined as correlates of depressive symptom presentation within this age group. Methods. Participants included a maternal parent and an adolescent (65.5% female from each family. Adolescents were in Grade 7 (n=175 or Grade 10 (n=31. Data were collected through home interviews. The Self-Report of Family Inventory (SFI, Experiences of Close Relationships Scale (ECR, Network of Relationships Inventory (NRI, Children’s Depression Inventory (CDI and Child Behavior Checklist (CBCL were used to assess depression, parental support and attachment.  Results. Two models were examined: one with adolescent report of depressive symptoms as the outcome and a second with parent report of adolescent internalising symptoms as the outcome. The model predicting adolescent-reported depressive symptoms was significant with older age, higher levels of avoidant attachment, and higher levels of youth-reported dysfunctional family interaction associated with more depressive symptomatology. In the model predicting parent report of adolescent internalising symptoms only higher levels of dysfunctional family interaction, as reported by the parent, were associated with higher levels of internalising symptoms. Conclusion. Positive family communication, cohesion and support predictive of a secure parent-adolescent attachment relationship reduced the risk of a depressive symptom outcome. Secure adolescents were able to regulate their emotions, knowing that they could seek out secure base attachment relations

  20. Derivation and validation of a multivariable model to predict when primary care physicians prescribe antidepressants for indications other than depression

    Directory of Open Access Journals (Sweden)

    Wong J

    2018-04-01

    Full Text Available Jenna Wong, Michal Abrahamowicz, David L Buckeridge, Robyn Tamblyn Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC, Canada Objective: Physicians commonly prescribe antidepressants for indications other than depression that are not evidence-based and need further evaluation. However, lack of routinely documented treatment indications for medications in administrative and medical databases creates a major barrier to evaluating antidepressant use for indications besides depression. Thus, the aim of this study was to derive a model to predict when primary care physicians prescribe antidepressants for indications other than depression and to identify important determinants of this prescribing practice. Methods: Prediction study using antidepressant prescriptions from January 2003–December 2012 in an indication-based electronic prescribing system in Quebec, Canada. Patients were linked to demographic files, medical billings data, and hospital discharge summary data to create over 370 candidate predictors. The final prediction model was derived on a random 75% sample of the data using 3-fold cross-validation integrated within a score-based forward stepwise selection procedure. The performance of the final model was assessed in the remaining 25% of the data. Results: Among 73,576 antidepressant prescriptions, 32,405 (44.0% were written for indications other than depression. Among 40 predictors in the final model, the most important covariates included the molecule name, the patient’s education level, the physician’s workload, the prescribed dose, and diagnostic codes for plausible indications recorded in the past year. The final model had good discrimination (concordance (c statistic 0.815; 95% CI, 0.787–0.847 and good calibration (ratio of observed to expected events 0.986; 95% CI, 0.842–1.136. Conclusion: In the absence of documented treatment indications, researchers may be able to use

  1. Direct and indirect influences of childhood abuse on depression symptoms in patients with major depressive disorder.

    Science.gov (United States)

    Hayashi, Yumi; Okamoto, Yasumasa; Takagaki, Koki; Okada, Go; Toki, Shigeru; Inoue, Takeshi; Tanabe, Hajime; Kobayakawa, Makoto; Yamawaki, Shigeto

    2015-10-14

    It is known that the onset, progression, and prognosis of major depressive disorder are affected by interactions between a number of factors. This study investigated how childhood abuse, personality, and stress of life events were associated with symptoms of depression in depressed people. Patients with major depressive disorder (N = 113, 58 women and 55 men) completed the Beck Depression Inventory-II (BDI-II), the Neuroticism Extroversion Openness Five Factor Inventory (NEO-FFI), the Child Abuse and Trauma Scale (CATS), and the Life Experiences Survey (LES), which are self-report scales. Results were analyzed with correlation analysis and structural equation modeling (SEM), by using SPSS AMOS 21.0. Childhood abuse directly predicted the severity of depression and indirectly predicted the severity of depression through the mediation of personality. Negative life change score of the LES was affected by childhood abuse, however it did not predict the severity of depression. This study is the first to report a relationship between childhood abuse, personality, adulthood life stresses and the severity of depression in depressed patients. Childhood abuse directly and indirectly predicted the severity of depression. These results suggest the need for clinicians to be receptive to the possibility of childhood abuse in patients suffering from depression. SEM is a procedure used for hypothesis modeling and not for causal modeling. Therefore, the possibility of developing more appropriate models that include other variables cannot be excluded.

  2. Mood instability as a precursor to depressive illness: A prospective and mediational analysis.

    Science.gov (United States)

    Marwaha, Steven; Balbuena, Lloyd; Winsper, Catherine; Bowen, Rudy

    2015-06-01

    Mood instability levels are high in depression, but temporal precedence and potential mechanisms are unknown. Hypotheses tested were as follows: (1) mood instability is associated with depression cross-sectionally, (2) mood instability predicts new onset and maintenance of depression prospectively and (3) the mood instability and depression link are mediated by sleep problems, alcohol abuse and life events. Data from the National Psychiatric Morbidity Survey 2000 at baseline (N = 8580) and 18-month follow-up (N = 2413) were used. Regression modeling controlling for socio-demographic factors, anxiety and hypomanic mood was conducted. Multiple mediational analyses were used to test our conceptual path model. Mood instability was associated with depression cross-sectionally (odds ratio: 5.28; 95% confidence interval: [3.67, 7.59]; p depression inception (odds ratio: 2.43; 95% confidence interval: [1.03-5.76]; p = 0.042) after controlling for important confounders. Mood instability did not predict maintenance of depression. Sleep difficulties and severe problems with close friends and family significantly mediated the link between mood instability and new onset depression (23.05% and 6.19% of the link, respectively). Alcohol abuse and divorce were not important mediators in the model. Mood instability is a precursor of a depressive episode, predicting its onset. Difficulties in sleep are a significant part of the pathway. Interventions targeting mood instability and sleep problems have the potential to reduce the risk of depression. © The Royal Australian and New Zealand College of Psychiatrists 2015.

  3. 'I am not a depressed person': how identity conflict affects help-seeking rates for major depressive disorder.

    Science.gov (United States)

    Farmer, Caroline; Farrand, Paul; O'Mahen, Heather

    2012-10-02

    There is a significant treatment gap for patients with depression. A third of sufferers never seek help, and the vast majority of those who do only do so after considerable delay. Little is understood regarding poor help-seeking rates amongst people with depression, with existing research mainly focussed on the impact of barriers to treatment. The current study explored psychological factors affecting help-seeking behaviour in clinically depressed individuals. Semi-structured interviews were conducted with 20 current or previously clinically depressed participants who either had or had not sought professional help. Thematic analysis was used to analyse results. The onset of depressive symptoms created conflict with participants' identity and personal goals. Delays in seeking help were primarily attributed to the desire to protect identity and goals from the threat of depressive symptoms. Participants used avoidance strategies to reduce the perceived threat of depressive symptoms on identity. These strategies interfered with help-seeking. Help-seeking was only undertaken once participants reached a point of acceptance and began to make concessions in their identity and goals, at which time they reduced their use of avoidance. Difficulties resolving conflict between identity and depressive symptoms may account for significant delays in seeking help for depression. The results have implications for predicting health behaviour and improving treatment uptake for depression, and may inform existing help-seeking models.

  4. Social Support, AIDS-Related Symptoms, and Depression among Gay Men.

    Science.gov (United States)

    Hays, Robert B.; And Others

    1992-01-01

    Examined impact of social support and HIV-related conditions on depression among 508 gay men. Number of human immunodeficiency virus (HIV) related symptoms experienced significantly predicted depression cross-sectionally and one year later. Satisfaction with each of three types of social support (emotional, practical, informational) was inversely…

  5. Depressive symptoms and perceived chronic stress predict test anxiety in nursing students

    Directory of Open Access Journals (Sweden)

    Christoph Augner

    2015-09-01

    Full Text Available Aim: The aim of this study is to identify predictors of test anxiety in nursing students. Design: Cross sectional pilot study. Methods: A questionnaire was administered to 112 students of an Austrian nursing school (mean age = 21.42, SD = 5.21. Test anxiety (measured by the standardized PAF Test Anxiety Questionnaire, perceived chronic stress, depressive symptoms, pathological eating and further psychological and health parameters were measured. Results: We found highly significant correlations between test anxiety and working hours (0.25, depression score (0.52, emotional stability (-0.31, and perceived chronic stress (0.65 (p < 0.01, for all. Regression analysis revealed chronic stress and emotional instability as best predictors for test anxiety. Furthermore, path analysis revealed that past negative academic performance outcomes contribute to test anxiety via depressive symptoms and perceived chronic stress. Conclusion: Depressive symptoms and perceived chronic stress are strongly related to test anxiety. Therefore therapy and training methods that address depressive symptoms and perceived chronic stress, and thereby aim to modify appraisal of potential stressful situations, may be successful in addressing test anxiety.

  6. A longitudinal investigation of perfectionism and repetitive negative thinking in perinatal depression.

    Science.gov (United States)

    Egan, Sarah J; Kane, Robert T; Winton, Karen; Eliot, Catherine; McEvoy, Peter M

    2017-10-01

    Repetitive negative thinking and perfectionism have both been proposed as processes that are related to depressive symptoms. The purpose of this study was to investigate concurrent and prospective relationships between antenatal and postnatal depression, perfectionism, and repetitive negative thinking. A longitudinal design was used and 71 women were followed from their third trimester of pregnancy to six weeks post birth. A structural equation model was tested with antenatal perfectionism predicting antenatal repetitive negative thinking, perfectionism predicting postnatal depression, and antenatal repetitive negative thinking predicting antenatal and postnatal depression. The final model provided an adequate fit to the data but the pathway from antenatal repetitive negative thinking to postnatal depression was not significant. The findings provide support for the role of perfectionism and repetitive negative thinking in the onset and maintenance of perinatal symptoms of depression. It is suggested that future research investigates the efficacy of targeting repetitive negative thinking and perfectionism in pregnancy to examine if this can reduce perinatal depression. Copyright © 2017. Published by Elsevier Ltd.

  7. Late-Life Depressive Symptoms and Lifetime History of Major Depression: Cognitive Deficits are Largely Due to Incipient Dementia rather than Depression.

    Science.gov (United States)

    Heser, Kathrin; Bleckwenn, Markus; Wiese, Birgitt; Mamone, Silke; Riedel-Heller, Steffi G; Stein, Janine; Lühmann, Dagmar; Posselt, Tina; Fuchs, Angela; Pentzek, Michael; Weyerer, Siegfried; Werle, Jochen; Weeg, Dagmar; Bickel, Horst; Brettschneider, Christian; König, Hans-Helmut; Maier, Wolfgang; Scherer, Martin; Wagner, Michael

    2016-08-01

    Late-life depression is frequently accompanied by cognitive impairments. Whether these impairments indicate a prodromal state of dementia, or are a symptomatic expression of depression per se is not well-studied. In a cohort of very old initially non-demented primary care patients (n = 2,709, mean age = 81.1 y), cognitive performance was compared between groups of participants with or without elevated depressive symptoms and with or without subsequent dementia using ANCOVA (adjusted for age, sex, and education). Logistic regression analyses were computed to predict subsequent dementia over up to six years of follow-up. The same analytical approach was performed for lifetime major depression. Participants with elevated depressive symptoms without subsequent dementia showed only small to medium cognitive deficits. In contrast, participants with depressive symptoms with subsequent dementia showed medium to very large cognitive deficits. In adjusted logistic regression models, learning and memory deficits predicted the risk for subsequent dementia in participants with depressive symptoms. Participants with a lifetime history of major depression without subsequent dementia showed no cognitive deficits. However, in adjusted logistic regression models, learning and orientation deficits predicted the risk for subsequent dementia also in participants with lifetime major depression. Marked cognitive impairments in old age depression should not be dismissed as "depressive pseudodementia", but require clinical attention as a possible sign of incipient dementia. Non-depressed elderly with a lifetime history of major depression, who remained free of dementia during follow-up, had largely normal cognitive performance.

  8. Psychosocial factors predicting severity of depression among ...

    African Journals Online (AJOL)

    Background and Objectives: Depression as major psychological sequelea of the HIV/AIDS infection has continued to attract investigation. With few studies in Nigeria, it is unclear whether levels of perceived stigma, sexual risk behaviors, and anticipated discrimination are differentially associated with severity of depression.

  9. Children's unique experience of depression: Using a developmental approach to predict variation in symptomatology

    Directory of Open Access Journals (Sweden)

    Ginicola Misty M

    2007-08-01

    Full Text Available Abstract Background Current clinical knowledge suggests that children can have different types of depressive symptoms (irritability and aggression, but presents no theoretical basis for these differences. Using a developmental approach, the present study sought to test the relationship between developmental level (mental age and expression of depressive symptoms. The primary hypothesis was that as children's mental age increased, so would the number of internalizing symptoms present. Methods Participants were 252 psychiatric inpatients aged 4 to 16 with a diagnosed depressive disorder. All children were diagnosed by trained clinicians using DSM criteria. Patients were predominantly male (61% with varied ethnic backgrounds (Caucasian 54%; African American 22%; Hispanic 19%; Other 5%. Children were given an IQ test (KBIT or WISC while within the hospital. Mental age was calculated by using the child's IQ score and chronological age. Four trained raters reviewed children's records for depressive symptoms as defined by the DSM-IV TR. Additionally, a ratio score was calculated to indicate the number of internalizing symptoms to total symptoms. Results Mental age positively correlated (r = .51 with an internalizing total symptom ratio score and delineated between several individual symptoms. Mental age also predicted comorbidity with anxiety and conduct disorders. Children of a low mental age were more likely to be comorbid with conduct disorders, whereas children with a higher mental age presented more often with anxiety disorders. Gender was independently related to depressive symptoms, but minority status interacted with mental age. Conclusion The results of this study indicate that a developmental approach is useful in understanding children's depressive symptoms and has implications for both diagnosis and treatment of depression. If children experience depression differently, it follows that treatment options may also differ from that which is

  10. [Predictors of remission from major depressive disorder in secondary care].

    Science.gov (United States)

    Salvo, Lilian; Saldivia, Sandra; Parra, Carlos; Cifuentes, Manuel; Bustos, Claudio; Acevedo, Paola; Díaz, Marcela; Ormazabal, Mitza; Guerra, Ivonne; Navarrete, Nicol; Bravo, Verónica; Castro, Andrea

    2017-12-01

    Background The knowledge of predictive factors in depression should help to deal with the disease. Aim To assess potential predictors of remission of major depressive disorders (MDD) in secondary care and to propose a predictive model. Material and Methods A 12 month follow-up study was conducted in a sample of 112 outpatients at three psychiatric care centers of Chile, with baseline and quarterly assessments. Demographic, psychosocial, clinical and treatment factors as potential predictors, were assessed. A clinical interview with the checklist of DSM-IV diagnostic criteria, the Hamilton Depression Scale and the List of Threatening Experiences and Multidimensional Scale of Perceived Social Support were applied. Results The number of stressful events, perceived social support, baseline depression scores, melancholic features, time prior to beginning treatment at the secondary level and psychotherapeutic sessions were included in the model as predictors of remission. Sex, age, number of previous depressive episodes, psychiatric comorbidity and medical comorbidity were not significantly related with remission. Conclusions This model allows to predict depression score at six months with 70% of accuracy and the score at 12 months with 72% of accuracy.

  11. Comorbid personality disorder predicts suicide after major depression: a 10-year follow-up

    DEFF Research Database (Denmark)

    Hansen, Poul Erik Buchholtz; Wang, A.G.; Stage, K.B.

    2003-01-01

    OBJECTIVE: To identify psychopathological predictors for suicide in a population of major depressed Diagnostic Statistical Manual-III (DSM-III) in-patients. METHOD: A total of 210 previous participants in multicentre antidepressant drug trials, carried out in a randomized double-blind design, were...... followed prospectively through a maximum of 10 years. Patients with a drug or alcohol abuse were excluded. The association between suicide and the pretreatment psychopathological profile was analysed using survival statistics. RESULTS: The suicide rate for non-melancholic depressed patients...... was significantly higher than for melancholic depressed patients. Comorbid personality disorder was independently associated with an increased suicide rate [relative hazard 3.41(CI: 1.15-10.10)]. CONCLUSION: The study indicates that the non-melancholic aspect of depression, and especially comorbid personality...

  12. Personality predicts recurrence of late-life depression.

    NARCIS (Netherlands)

    Steunenberg, B.; Beekman, A.T.F.; Deeg, D.J.H.; Kerkhof, A.J.F.M.

    2010-01-01

    Objective: To examine the association of personality with recurrence of depression in later life. Method: A subsample of 91 subjects from the Longitudinal Aging Study Amsterdam (LASA; baseline sample size n = 3107; aged ≥ 55 years) depressed at baseline, who had recovered in the course of three

  13. Combining clinical variables to optimize prediction of antidepressant treatment outcomes.

    Science.gov (United States)

    Iniesta, Raquel; Malki, Karim; Maier, Wolfgang; Rietschel, Marcella; Mors, Ole; Hauser, Joanna; Henigsberg, Neven; Dernovsek, Mojca Zvezdana; Souery, Daniel; Stahl, Daniel; Dobson, Richard; Aitchison, Katherine J; Farmer, Anne; Lewis, Cathryn M; McGuffin, Peter; Uher, Rudolf

    2016-07-01

    The outcome of treatment with antidepressants varies markedly across people with the same diagnosis. A clinically significant prediction of outcomes could spare the frustration of trial and error approach and improve the outcomes of major depressive disorder through individualized treatment selection. It is likely that a combination of multiple predictors is needed to achieve such prediction. We used elastic net regularized regression to optimize prediction of symptom improvement and remission during treatment with escitalopram or nortriptyline and to identify contributing predictors from a range of demographic and clinical variables in 793 adults with major depressive disorder. A combination of demographic and clinical variables, with strong contributions from symptoms of depressed mood, reduced interest, decreased activity, indecisiveness, pessimism and anxiety significantly predicted treatment outcomes, explaining 5-10% of variance in symptom improvement with escitalopram. Similar combinations of variables predicted remission with area under the curve 0.72, explaining approximately 15% of variance (pseudo R(2)) in who achieves remission, with strong contributions from body mass index, appetite, interest-activity symptom dimension and anxious-somatizing depression subtype. Escitalopram-specific outcome prediction was more accurate than generic outcome prediction, and reached effect sizes that were near or above a previously established benchmark for clinical significance. Outcome prediction on the nortriptyline arm did not significantly differ from chance. These results suggest that easily obtained demographic and clinical variables can predict therapeutic response to escitalopram with clinically meaningful accuracy, suggesting a potential for individualized prescription of this antidepressant drug. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

  14. A serotonin transporter gene polymorphism predicts peripartum depressive symptoms in an at-risk psychiatric cohort.

    Science.gov (United States)

    Binder, Elisabeth B; Newport, D Jeffrey; Zach, Elizabeth B; Smith, Alicia K; Deveau, Todd C; Altshuler, Lori L; Cohen, Lee S; Stowe, Zachary N; Cubells, Joseph F

    2010-07-01

    Peripartum major depressive disorder (MDD) is a prevalent psychiatric disorder with potential detrimental consequences for both mother and child. Despite its enormous health care relevance, data regarding genetic predictors of peripartum depression are sparse. The aim of this study was to investigate associations of the serotonin-transporter linked polymorphic region (5-HTTLPR) genotype with peripartum MDD in an at-risk population. Two hundred and seventy four women with a prior history of MDD were genotyped for 5-HTTLPR and serially evaluated in late pregnancy (gestational weeks 31-40), early post-partum (week 1-8) and late post-partum (week 9-24) for diagnosis of a current major depressive episode (MDE) and depressive symptom severity. 5-HTTLPR S-allele carrier status predicted the occurrence of a MDE in the early post-partum period only (OR=5.13, p=0.017). This association persisted despite continued antidepressant treatment. The 5-HTTLPR genotype may be a clinically relevant predictor of early post-partum depression in an at-risk population. Peripartum major depressive disorder is a prevalent psychiatric disorder with potential detrimental consequences for both mother and child. Despite its enormous health care relevance, data regarding genetic predictors of peripartum depression are sparse. The aim of this study was to investigate associations of the serotonin-transporter linked polymorphic region (5-HTTLPR) genotype with peripartum MDD in an at-risk population. Copyright 2009 Elsevier Ltd. All rights reserved.

  15. Deep Brain Stimulation Target Selection in an Advanced Parkinson's Disease Patient with Significant Tremor and Comorbid Depression

    Directory of Open Access Journals (Sweden)

    Amar S. Patel

    2017-04-01

    Full Text Available Clinical Vignette: A 67-year-old female with advanced Parkinson's disease (PD, medically refractory tremor, and a history of significant depression presents for evaluation of deep brain stimulation (DBS candidacy.  Clinical Dilemma: Traditionally, stimulation of the subthalamic nucleus (STN has been the preferred target for patients with significant PD tremor. However, STN stimulation is avoided in patients with a significant pre-surgical history of mood disorder.  Clinical Solution: Bilateral DBS of the globus pallidus interna led to significant short term improvement in PD motor symptoms, including significant tremor reduction.  Gap in Knowledge: There is insufficient evidence to support or refute clinicians' traditional preference for STN stimulation in treating refractory PD tremor. Similarly, the available evidence for risk of worsening depression and/or suicidality after STN DBS is mixed. Both questions require further clarification to guide patient and clinician decision-making.

  16. The Factors Predicting Stress, Anxiety and Depression in the Parents of Children with Autism

    Science.gov (United States)

    Falk, Nicholas Henry; Norris, Kimberley; Quinn, Michael G.

    2014-01-01

    The factors predicting stress, anxiety and depression in the parents of children with autism remain poorly understood. In this study, a cohort of 250 mothers and 229 fathers of one or more children with autism completed a questionnaire assessing reported parental mental health problems, locus of control, social support, perceived parent-child…

  17. The influence of past unemployment duration on symptoms of depression among young women and men in the United States.

    Science.gov (United States)

    Mossakowski, Krysia N

    2009-10-01

    I examined whether unemployment while looking for a job and being out of the labor force while not seeking work have distinct effects on symptoms of depression among young women and men in the United States. I also investigated whether past unemployment duration predicts depressive symptoms. I used ordinary least squares regression to analyze data from the 1979-1994 National Longitudinal Survey of Youth. Cross-sectional results suggested that current unemployment status and out-of-the-labor-force status were significantly associated with depressive symptoms at ages 29 through 37 years. The association between being out of the labor force and depressive symptoms was stronger for men. Longitudinal results revealed that past unemployment duration across 15 years of the transition to adulthood significantly predicted depressive symptoms, net of demographics, family background, current socioeconomic status, and prior depressive symptoms. However, duration out of the labor force did not predict depressive symptoms. Longer durations of unemployment predict higher levels of depressive symptoms among young adults. Future research should measure duration longitudinally and distinguish unemployment from being out of the labor force to advance our understanding of socioeconomic mental health disparities.

  18. Severity of depressive episodes according to ICD-10

    DEFF Research Database (Denmark)

    Kessing, Lars Vedel

    2004-01-01

    BACKGROUND: The ICD-10 categorisation of severity of depression into mild, moderate and severe depressive episodes has not been validated. AIMS: To validate the ICD-10 categorisation of severity of depression by estimating its predictive ability on the course of illness and suicidal outcome. METHOD......: All psychiatric in-patients in Denmark who had received a diagnosis of a single depressive episode at their first discharge between 1994 and 1999 were identified. The risk of relapse and the risk of suicide were compared for patients discharged with an ICD-10 diagnosis of a single mild, moderate...... or severe depressive episode. RESULTS: At their first discharge, 1103 patients had an ICD-10 diagnosis of mild depressive episode, 3182 had a diagnosis of moderate depressive episode and 2914 had a diagnosis of severe depressive episode. The risk of relapse and the risk of suicide were significantly...

  19. Identifying depression severity risk factors in persons with traumatic spinal cord injury.

    Science.gov (United States)

    Williams, Ryan T; Wilson, Catherine S; Heinemann, Allen W; Lazowski, Linda E; Fann, Jesse R; Bombardier, Charles H

    2014-02-01

    Examine the relationship between demographic characteristics, health-, and injury-related characteristics, and substance misuse across multiple levels of depression severity. 204 persons with traumatic spinal cord injury (SCI) volunteered as part of screening efforts for a randomized controlled trial of venlafaxine extended release for major depressive disorder (MDD). Instruments included the Patient Health Questionnaire-9 (PHQ-9) depression scale, the Alcohol Use Disorders Identification Test (AUDIT), and the Substance Abuse in Vocational Rehabilitation-Screener (SAVR-S), which contains 3 subscales: drug misuse, alcohol misuse, and a subtle items scale. Each of the SAVR-S subscales contributes to an overall substance use disorder (SUD) outcome. Three proportional odds models were specified, varying the substance misuse measure included in each model. 44% individuals had no depression symptoms, 31% had mild symptoms, 16% had moderate symptoms, 6% had moderately severe symptoms, and 3% had severe depression symptoms. Alcohol misuse, as indicated by the AUDIT and the SAVR-S drug misuse subscale scores were significant predictors of depression symptom severity. The SAVR-S substance use disorder (SUD) screening outcome was the most predictive variable. Level of education was only significantly predictive of depression severity in the model using the AUDIT alcohol misuse indicator. Likely SUD as measured by the SAVR-S was most predictive of depression symptom severity in this sample of persons with traumatic SCI. Drug and alcohol screening are important for identifying individuals at risk for depression, but screening for both may be optimal. Further research is needed on risk and protective factors for depression, including psychosocial characteristics. PsycINFO Database Record (c) 2014 APA, all rights reserved.

  20. Maternal Depression and Youth Internalizing and Externalizing Symptomatology: Severity and Chronicity of Past Maternal Depression and Current Maternal Depressive Symptoms

    Science.gov (United States)

    O’Connor, Erin E.; Langer, David A.; Tompson, Martha C.

    2017-01-01

    Maternal depression is a well-documented risk factor for youth depression, and taking into account its severity and chronicity may provide important insight into the degree of risk conferred. This study explored the degree to which the severity/chronicity of maternal depression history explained variance in youth internalizing and externalizing symptoms above and beyond current maternal depressive symptoms among 171 youth (58% male) ages 8 to 12 over a span of three years. Severity and chronicity of past maternal depression and current maternal depressive symptoms were examined as predictors of parent-reported youth internalizing and externalizing symptomatology, as well as youth self-reported depressive symptoms. Severity and chronicity of past maternal depression did not account for additional variance in youth internalizing and externalizing symptoms at Time 1 beyond what was accounted for by maternal depressive symptoms at Time 1. Longitudinal growth curve modeling indicated that prior severity/chronicity of maternal depression predicted levels of youth internalizing and externalizing symptoms at each time point when controlling for current maternal depressive symptoms at each time point. Chronicity of maternal depression, apart from severity, also predicted rate of change in youth externalizing symptoms over time. These findings highlight the importance of screening and assessing for current maternal depressive symptoms, as well as the nature of past depressive episodes. Possible mechanisms underlying the association between severity/chronicity of maternal depression and youth outcomes, such as residual effects from depressive history on mother–child interactions, are discussed. PMID:27401880

  1. Prenatal depression in Latinas in the U.S. and Mexico.

    Science.gov (United States)

    Lara, Ma Asunción; Le, Huynh-Nhu; Letechipia, Gabriela; Hochhausen, Laila

    2009-07-01

    The study aimed to investigate the prevalence of depressive symptoms and their associated risk factors during pregnancy in Latinas in the United States (U.S.) and Mexico. The sample included 108 women in the U.S. whose data were obtained from medical chart reviews in a community clinic in Washington, D.C., and 117 women in Mexico who participated in face-to-face interviews in the waiting rooms of primary care community centers in Mexico City. Variables, chosen to match in both countries for comparisons, were: socio-demographics, pregnancy gestation and order, social support, depressive symptoms, personal history of depression, family psychiatric history, and suicidal thoughts. Depressive symptoms were measured using the Center for Epidemiological Studies Depression Scale (CES-D). The prevalence of depressive symptoms was 32.4% for pregnant Latinas and 36.8% for Mexicans (CES-D > or = 16), and 15.7% and 23.9% (CES-D > or = 24), respectively, with no differences between groups. Separate multiple logistic regression analyses showed that for U.S. Latinas: (1) being more educated predicted depressive symptoms (CES-D > or = 16), and (2) second trimester, as compared to first, also predicted symptoms (CES-D > or /= 24). (3) History of suicidal thoughts predicted symptoms in Latinas in the U.S. (CES-D > or = 24) and in Mexico (using both definitions of high symptoms), and (4) living with a partner but not formally married and multi-parous condition predicted symptoms (CES-D > or /= 24) among pregnant Mexicans. A high prevalence of depressive symptoms and significant risk factors during pregnancy were found in Latinas in U.S. and Mexico, suggesting increased risk for postpartum major depression. Implications for screening and interventions are discussed.

  2. Body dissatisfaction prospectively predicts depressive mood and low self-esteem in adolescent girls and boys.

    Science.gov (United States)

    Paxton, Susan J; Neumark-Sztainer, Dianne; Hannan, Peter J; Eisenberg, Marla E

    2006-12-01

    This research examined whether body dissatisfaction prospectively predicted depressive mood and low self-esteem in adolescent girls and boys 5 years later. Participants were early-adolescent girls (n = 440, Time 1 M age = 12.7 years) and boys (n = 366, Time 1 M age = 12.8 years) and midadolescent girls (n = 946, Time 1 M age = 15.8 years) and boys (n = 764, Time 1 M age = 15.9 years). After controlling for Time 1 of the relevant dependent variable, ethnicity, socioeconomic status, and body mass index, Time 1 body dissatisfaction was a unique predictor of Time 2 depressive mood and low self-esteem in early-adolescent girls (depressive mood: F = 4.80, p self-esteem: F = 9.64, p p self-esteem: F = 9.38, p low self-esteem in both girls and boys but in different phases of adolescence.

  3. Prognostic significance of precordial ST segment depression during inferior myocardial infarction in the thrombolytic era: Results in 16,521 patients

    NARCIS (Netherlands)

    E.D. Peterson; W.R. Hathaway; K.M. Zabel; K.S. Pieper (Karen); C.B. Granger (Christopher); G.S. Wagner (Galen); E.J. Topol (Eric); E.R. Bates (Eric); M.L. Simoons (Maarten); R.M. Califf (Robert)

    1996-01-01

    textabstractObjectives. We examined the prognostic significance of precordial ST segment depression among patients with an acute inferior myocardial infarction. Background. Although precordial ST segment depression has been associated with a poor prognosis, this correlation has not been adequately

  4. Natural speech algorithm applied to baseline interview data can predict which patients will respond to psilocybin for treatment-resistant depression.

    Science.gov (United States)

    Carrillo, Facundo; Sigman, Mariano; Fernández Slezak, Diego; Ashton, Philip; Fitzgerald, Lily; Stroud, Jack; Nutt, David J; Carhart-Harris, Robin L

    2018-04-01

    Natural speech analytics has seen some improvements over recent years, and this has opened a window for objective and quantitative diagnosis in psychiatry. Here, we used a machine learning algorithm applied to natural speech to ask whether language properties measured before psilocybin for treatment-resistant can predict for which patients it will be effective and for which it will not. A baseline autobiographical memory interview was conducted and transcribed. Patients with treatment-resistant depression received 2 doses of psilocybin, 10 mg and 25 mg, 7 days apart. Psychological support was provided before, during and after all dosing sessions. Quantitative speech measures were applied to the interview data from 17 patients and 18 untreated age-matched healthy control subjects. A machine learning algorithm was used to classify between controls and patients and predict treatment response. Speech analytics and machine learning successfully differentiated depressed patients from healthy controls and identified treatment responders from non-responders with a significant level of 85% of accuracy (75% precision). Automatic natural language analysis was used to predict effective response to treatment with psilocybin, suggesting that these tools offer a highly cost-effective facility for screening individuals for treatment suitability and sensitivity. The sample size was small and replication is required to strengthen inferences on these results. Copyright © 2018 Elsevier B.V. All rights reserved.

  5. The Association of Genetic Predisposition to Depressive Symptoms with Non-suicidal and Suicidal Self-Injuries.

    Science.gov (United States)

    Maciejewski, Dominique F; Renteria, Miguel E; Abdellaoui, Abdel; Medland, Sarah E; Few, Lauren R; Gordon, Scott D; Madden, Pamela A F; Montgomery, Grant; Trull, Timothy J; Heath, Andrew C; Statham, Dixie J; Martin, Nicholas G; Zietsch, Brendan P; Verweij, Karin J H

    2017-01-01

    Non-suicidal and suicidal self-injury are very destructive, yet surprisingly common behaviours. Depressed mood is a major risk factor for non-suicidal self-injury (NSSI), suicidal ideation and suicide attempts. We conducted a genetic risk prediction study to examine the polygenic overlap of depressive symptoms with lifetime NSSI, suicidal ideation, and suicide attempts in a sample of 6237 Australian adult twins and their family members (3740 females, mean age = 42.4 years). Polygenic risk scores for depressive symptoms significantly predicted suicidal ideation, and some predictive ability was found for suicide attempts; the polygenic risk scores explained a significant amount of variance in suicidal ideation (lowest p = 0.008, explained variance ranging from 0.10 to 0.16 %) and, less consistently, in suicide attempts (lowest p = 0.04, explained variance ranging from 0.12 to 0.23 %). Polygenic risk scores did not significantly predict NSSI. Results highlight that individuals genetically predisposed to depression are also more likely to experience suicidal ideation/behaviour, whereas we found no evidence that this is also the case for NSSI.

  6. Depression and anxiety predict health-related quality of life in chronic obstructive pulmonary disease: systematic review and meta-analysis

    Directory of Open Access Journals (Sweden)

    Blakemore A

    2014-05-01

    Full Text Available Amy Blakemore,1,2 Chris Dickens,3 Else Guthrie,2 Peter Bower,1 Evangelos Kontopantelis,1 Cara Afzal,2 Peter A Coventry4 1National Institute for Health Research School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre, University of Manchester, 2Department of Psychiatry, Manchester Mental Health and Social Care Trust, Manchester Royal Infirmary, Manchester, UK; 3Institute of Health Service Research, University of Exeter Medical School and Peninsula Collaboration for Leadership in Health Research and Care, University of Exeter, Exeter, UK; 4Collaboration for Leadership in Applied Health Research and Care for Greater Manchester and Manchester Academic Health Science Centre, University of Manchester, Manchester, UK Background: The causal association between depression, anxiety, and health-related quality of life (HRQoL in chronic obstructive pulmonary disease (COPD is unclear. We therefore conducted a systematic review of prospective cohort studies that measured depression, anxiety, and HRQoL in COPD. Methods: Electronic databases (Medline, Embase, Cumulative Index to Nursing and Allied Health Literature [CINAHL], British Nursing Index and Archive, PsycINFO and Cochrane database were searched from inception to June 18, 2013. Studies were eligible for inclusion if they: used a nonexperimental prospective cohort design; included patients with a diagnosis of COPD confirmed by spirometry; and used validated measures of depression, anxiety, and HRQoL. Data were extracted and pooled using random effects models. Results: Six studies were included in the systematic review; of these, three were included in the meta-analysis for depression and two were included for the meta-analysis for anxiety. Depression was significantly correlated with HRQoL at 1-year follow-up (pooled r=0.48, 95% confidence interval 0.37–0.57, P<0.001. Anxiety was also significantly correlated with HRQoL at 1-year follow-up (pooled r=0.36, 95

  7. Emotional Demands at Work and the Risk of Clinical Depression

    DEFF Research Database (Denmark)

    Vammen, Marianne Agergaard; Mikkelsen, Sigurd; Kolstad, Henrik

    2016-01-01

    of clinical depression were diagnosed. Emotional demands were examined as perceived and content-related emotional demands, individually reported and work-unit based. Support, meaningful work, and enrichment were considered as potential effect modifiers. Results: Individually reported perceived emotional......Objective: This study is a 2-year follow-up study of different dimensions of work-related emotional demands as a predictor for clinical depression. Methods: In a two-wave study, 3224 (72%) public employees from 474 work-units participated twice by filling in questionnaires. Sixty-Two cases...... demands predicted depression (odds ratio: 1.40; 95% confidence intervals: 1.02 to 1.92). The work-unit based odds ratio was in the same direction, though not significant. Content-related emotional demands did not predict depression. Support, meaningful work, and enrichment did not modify the results...

  8. Factors of academic procrastination: The role of perfectionism, anxiety and depression

    Directory of Open Access Journals (Sweden)

    Eva Kranjec

    2016-06-01

    Full Text Available This study investigated dimensions of perfectionism, anxiety, and depression as factors of academic procrastination. Our main research interest was to examine the role of specific dimensions of perfectionism as moderators in the relationship between anxiety and depression and academic procrastination. Four scales were administered on the sample of 403 students: perfectionism scale FMPS, academic procrastination scale APS-SI, depression scale CESD and anxiety scale STAI-X2. The results showed significant positive relationships between maladaptive dimensions of perfectionism, anxiety, depression, and academic procrastination. In addition, results showed significant negative associations between adaptive dimensions of perfectionism and academic procrastination. Certain dimensions of perfectionism, anxiety, and depression proved to be significant predictors of academic procrastination. The dimensions of perfectionism and academic procrastination were also significantly related to anxiety and depression, which both predicted academic procrastination. The relationship between anxiety levels and academic procrastination was moderated by personal standards (as adaptive dimension of perfectionism, while the relationship between depression levels and academic procrastination was moderated by the maladaptive dimension of parents’ expectations.

  9. Social Skills and Perceived Maternal Acceptance-Rejection in Relation to Depression in Infertile Women

    Directory of Open Access Journals (Sweden)

    Fariba Yazdkhasti

    2011-01-01

    Full Text Available Background: This study examines the relationship between infertile women’s social skills andtheir perception of their own mothers’ acceptance or rejection, and the role this relationship playsin predicting self-reported depression.Materials and Methods: This was a correlational study. 60 infertile women aged 25 to 35 yearsparticipated in a self-evaluation. A Social Skills Inventory, Parental Acceptance and RejectionQuestionnaire and Beck Depression Inventory were used to measure social skills, acceptancerejection and depression. Data was analyzed by SPSS software, using independent two-sample ttest, logistic regression, and ANOVA.Results: Findings showed that there are significant differences between depressed and not depressedinfertile women in their perceptions of acceptance and rejection by their mothers. Further, women'sperceptions of rejection are a more significant predictor of depression among less socially skilledinfertile women than among those who are more socially skilled. Less socially skilled women didnot show symptoms of depression when they experienced their mothers as accepting. In generalthe results of this study revealed that poorer social skills were more predictive of depression whilegood social skills moderate the effect of infertile women’s perceptions of their mothers' rejection.At the same time, the findings showed that infertile women's perceptions of acceptance moderatedthe effects of poorer social skills in predicting depression.Conclusion: Results suggest that the perception of mothers’ rejection and poor social skills are thekey factors that make infertile women prone to depression.

  10. The scars of childhood adversity: minor stress sensitivity and depressive symptoms in remitted recurrently depressed adult patients.

    Directory of Open Access Journals (Sweden)

    Gemma Kok

    Full Text Available Childhood adversity may lead to depressive relapse through its long-lasting influence on stress sensitivity. In line with the stress sensitization hypothesis, minor (daily stress is associated with depressive relapse. Therefore, we examine the impact of childhood adversity on daily stress and its predictive value on prospectively assessed depressive symptoms in recurrently depressed patients.Daily stress was assessed in recurrently depressed adult patients, enrolled into two randomized trials while remitted. The reported intensity and frequency of dependent and independent daily stress was assessed at baseline. Independent stress is externally generated, for example an accident happening to a friend, while dependent stress is internally generated, for example getting into a fight with a neighbor. Hierarchical regression analyses were performed with childhood adversity, independent and dependent daily stress as predictor variables of prospectively measured depressive symptoms after three months of follow-up (n = 138.We found that childhood adversity was not significantly associated with a higher frequency and intensity of daily stress. The intensity of both independent and dependent daily stress was predictive of depressive symptom levels at follow-up (unadjusted models respectively: B = 0.47, t = 2.05, p = 0.041, 95% CI = 0.02-0.92; B = 0.29, t = 2.20, p = 0.028, 95% CI = 0.03-0.55. No associations were found between childhood adversity and depressive symptoms at follow-up.No evidence was found supporting stress sensitization due to the experience of childhood adversity in this recurrently depressed but remitted patient group. Nevertheless, our research indicates that daily stress might be a target for preventive treatment.Trial A: Nederlands Trial Register NTR1907 Trial B: Nederlands Trial Register NTR2503.

  11. Ventral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sample.

    Science.gov (United States)

    Pan, Pedro Mario; Sato, João R; Salum, Giovanni A; Rohde, Luis A; Gadelha, Ary; Zugman, Andre; Mari, Jair; Jackowski, Andrea; Picon, Felipe; Miguel, Eurípedes C; Pine, Daniel S; Leibenluft, Ellen; Bressan, Rodrigo A; Stringaris, Argyris

    2017-11-01

    Previous studies have implicated aberrant reward processing in the pathogenesis of adolescent depression. However, no study has used functional connectivity within a distributed reward network, assessed using resting-state functional MRI (fMRI), to predict the onset of depression in adolescents. This study used reward network-based functional connectivity at baseline to predict depressive disorder at follow-up in a community sample of adolescents. A total of 637 children 6-12 years old underwent resting-state fMRI. Discovery and replication analyses tested intrinsic functional connectivity (iFC) among nodes of a putative reward network. Logistic regression tested whether striatal node strength, a measure of reward-related iFC, predicted onset of a depressive disorder at 3-year follow-up. Further analyses investigated the specificity of this prediction. Increased left ventral striatum node strength predicted increased risk for future depressive disorder (odds ratio=1.54, 95% CI=1.09-2.18), even after excluding participants who had depressive disorders at baseline (odds ratio=1.52, 95% CI=1.05-2.20). Among 11 reward-network nodes, only the left ventral striatum significantly predicted depression. Striatal node strength did not predict other common adolescent psychopathology, such as anxiety, attention deficit hyperactivity disorder, and substance use. Aberrant ventral striatum functional connectivity specifically predicts future risk for depressive disorder. This finding further emphasizes the need to understand how brain reward networks contribute to youth depression.

  12. Life stress and family history for depression: the moderating role of past depressive episodes.

    Science.gov (United States)

    Monroe, Scott M; Slavich, George M; Gotlib, Ian H

    2014-02-01

    Three of the most consistently reported and powerful predictors of depression are a recent major life event, a positive family history for depression, and a personal history of past depressive episodes. Little research, however, has evaluated the inter-relations among these predictors in depressed samples. Such information is descriptively valuable and potentially etiologically informative. In the present article we summarize the existing literature and test four predictions in a sample of 62 clinically depressed individuals: (1) participants who experienced a major life event prior to onset would be less likely than participants who did not experience a major life event to have a positive family history for depression; (2) participants with a recent major life event would have fewer lifetime episodes of depression than would participants without; (3) participants with a positive family history for depression would have more lifetime episodes of depression than would participants with a negative family history for depression; and (4) we would obtain a 3-way interaction in which participants with a positive family history and without a major life event would have the most lifetime episodes, whereas participants with a negative family history and a major life event would have the fewest lifetime episodes. The first three predictions were confirmed, and the fourth prediction partially confirmed. These novel findings begin to elucidate the complex relations among these three prominent risk factors for depression, and point to avenues of research that may help illuminate the origins of depressive episodes. Copyright © 2013 Elsevier Ltd. All rights reserved.

  13. Psychosocial Predictors of Change in Depressive Symptoms Following Gastric Banding Surgery.

    Science.gov (United States)

    Preiss, Kymberlie; Clarke, David; O'Brien, Paul; de la Piedad Garcia, Xochitl; Hindle, Annemarie; Brennan, Leah

    2018-02-08

    The aim of this study is to identify psychosocial variables associated with the relationship between weight loss and change in depressive symptoms following gastric banding surgery. Ninety-nine adults completed self-report questionnaires assessing depressive symptoms and other psychosocial variables (self-esteem, body image dissatisfaction, perceived physical health, and perceived weight-based stigmatisation) prior to gastric-band surgery and monthly for 6-month post-surgery. Weight, depressive symptoms, and other psychosocial variables improved significantly 1-month post-surgery and remained lower to 6 months. Weight loss from baseline to 1- and 6-months post-surgery significantly correlated with change in depressive symptoms. Body image dissatisfaction and self-esteem accounted for some of the variance in change in depressive symptoms from baseline to 1-month and baseline to 6-months post-surgery. Depressive symptoms improved significantly and rapidly after bariatric surgery, and body image dissatisfaction and self-esteem predicted change in depressive symptoms. Interventions targeting body image and self-esteem may improve depressive symptoms for those undergoing weight loss interventions.

  14. Personality, depressive symptoms during pregnancy and their influence on postnatal depression in Spanish pregnant Spanish women

    Directory of Open Access Journals (Sweden)

    Dolores Marín-Morales

    2014-10-01

    Full Text Available The aim of this study was to analyse the influence of personality factors and antenatal depressive symptomatology in postnatal depression. A prospective ex post facto design was carried out. The sample consisted of 116 women, recruited in their first trimester of pregnancy and followed up until four months postpartum. The measurement instruments used were the Edinburg Postnatal Depression Scale (EPDS to assess postpartum depression, the NEO-Five Factor Inventory (NEO-FFI to analyse personality traits and the depression subscale of the Symptoms Check List 90 (SCL-90-R to assess depressive symptomatology in the first half of pregnancy. Socio-demographic variables (age, parity, educational level, employment status, and planned pregnancy and clinical variables (neonatal Apgar score and mode of delivery were also taken into account. A positive correlation was found between postpartum depression and depressive symptomatology in the first trimester; however after the regression analysis neuroticism was the only factor that predicted postpartum depressive symptoms, explaining 24.8% of the variance. Neuroticism significantly influences psychological health during life events such as motherhood. Due to its stable condition, personality could be assessed from the beginning of pregnancy, contributing to the care of pregnant women with high scores in neuroticism, to prevent, detect and treat early postnatal depression.

  15. GWAS-based machine learning approach to predict duloxetine response in major depressive disorder.

    Science.gov (United States)

    Maciukiewicz, Malgorzata; Marshe, Victoria S; Hauschild, Anne-Christin; Foster, Jane A; Rotzinger, Susan; Kennedy, James L; Kennedy, Sidney H; Müller, Daniel J; Geraci, Joseph

    2018-04-01

    Major depressive disorder (MDD) is one of the most prevalent psychiatric disorders and is commonly treated with antidepressant drugs. However, large variability is observed in terms of response to antidepressants. Machine learning (ML) models may be useful to predict treatment outcomes. A sample of 186 MDD patients received treatment with duloxetine for up to 8 weeks were categorized as "responders" based on a MADRS change >50% from baseline; or "remitters" based on a MADRS score ≤10 at end point. The initial dataset (N = 186) was randomly divided into training and test sets in a nested 5-fold cross-validation, where 80% was used as a training set and 20% made up five independent test sets. We performed genome-wide logistic regression to identify potentially significant variants related to duloxetine response/remission and extracted the most promising predictors using LASSO regression. Subsequently, classification-regression trees (CRT) and support vector machines (SVM) were applied to construct models, using ten-fold cross-validation. With regards to response, none of the pairs performed significantly better than chance (accuracy p > .1). For remission, SVM achieved moderate performance with an accuracy = 0.52, a sensitivity = 0.58, and a specificity = 0.46, and 0.51 for all coefficients for CRT. The best performing SVM fold was characterized by an accuracy = 0.66 (p = .071), sensitivity = 0.70 and a sensitivity = 0.61. In this study, the potential of using GWAS data to predict duloxetine outcomes was examined using ML models. The models were characterized by a promising sensitivity, but specificity remained moderate at best. The inclusion of additional non-genetic variables to create integrated models may improve prediction. Copyright © 2017. Published by Elsevier Ltd.

  16. Does major depressive disorder in parents predict specific fears and phobias in offspring?

    Science.gov (United States)

    Biel, Matthew G; Klein, Rachel G; Mannuzza, Salvatore; Roizen, Erica R; Truong, Nhan L; Roberson-Nay, Roxann; Pine, Daniel S

    2008-01-01

    Evidence suggests a relationship between parental depression and phobias in offspring as well as links between childhood fears and risk for major depression. This study examines the relationship between major depressive disorder (MDD) and anxiety disorders in parents and specific fears and phobias in offspring. Three hundred and eighteen children of parents with lifetime MDD, anxiety disorder, MDD+anxiety disorder, or neither were psychiatrically assessed via parent interview. Rates of specific phobias in offspring did not differ significantly across parental groups. Specific fears were significantly elevated in offspring of parents with MDD+anxiety disorder relative to the other groups (MDD, anxiety disorder, and controls, which did not differ). We failed to find increased phobias in offspring of parents with MDD without anxiety disorder. Elevated rates of specific fears in offspring of parents with MDD+anxiety disorder may be a function of more severe parental psychopathology, increased genetic loading, or unmeasured environmental influences. (c) 2007 Wiley-Liss, Inc.

  17. Repetitive negative thinking predicts depression and anxiety symptom improvement during brief cognitive behavioral therapy.

    Science.gov (United States)

    Kertz, Sarah J; Koran, Jennifer; Stevens, Kimberly T; Björgvinsson, Thröstur

    2015-05-01

    Repetitive negative thinking (RNT) is a common symptom across depression and anxiety disorders and preliminary evidence suggests that decreases in rumination and worry are related to improvement in depression and anxiety symptoms. However, despite its prevalence, relatively little is known about transdiagnostic RNT and its temporal associations with symptom improvement during treatment. The current study was designed to examine the influence of RNT on subsequent depression and anxiety symptoms during treatment. Participants (n = 131; 52% female; 93% White; M = 34.76 years) were patients presenting for treatment in a brief, cognitive behavior therapy based, partial hospitalization program. Participants completed multiple assessments of depression (Center for the Epidemiological Studies of Depression-10 scale), anxiety (the 7-item Generalized Anxiety Disorder Scale), and repetitive negative thinking (Perseverative Thinking Questionnaire) over the course of treatment. Results indicated statistically significant between and within person effects of RNT on depression and anxiety, even after controlling for the effect of time, previous symptom levels, referral source, and treatment length. RNT explained 22% of the unexplained variability in depression scores and 15% of the unexplained variability in anxiety scores beyond that explained by the control variables. RNT may be an important transdiagnostic treatment target for anxiety and depression. Copyright © 2015 Elsevier Ltd. All rights reserved.

  18. Working memory in pregnant women: Relation to estrogen and antepartum depression.

    Science.gov (United States)

    Hampson, Elizabeth; Phillips, Shauna-Dae; Duff-Canning, Sarah J; Evans, Kelly L; Merrill, Mia; Pinsonneault, Julia K; Sadée, Wolfgang; Soares, Claudio N; Steiner, Meir

    2015-08-01

    This article is part of a Special Issue "Estradiol and cognition". Subjective changes in concentration and memory are commonly reported by women during the second or third trimesters of pregnancy, but the nature of the problem is poorly understood. We hypothesized that these self-reports might reflect difficulties in working memory (WM). It was further hypothesized that antepartum depression (depression arising during pregnancy) may play an etiological role, either on its own or due to secondary changes in endocrine function or sleep. Using WM tasks that emphasized executive control processes mediated by the prefrontal cortex (PFC) we compared pregnant women tested at 34-36 weeks of gestation (n = 28) with age- and education-matched non-pregnant controls (n = 26). All pregnant women were screened for depression. Evidence of a WM disturbance was found, and was evident only among pregnant women showing depressive symptoms. In contrast, pregnant women who were not depressed showed WM performance that equalled, or even significantly exceeded, non-pregnant controls. No significant differences were observed on control tests of other cognitive functions. Multiple regression revealed that serum estradiol concentrations, along with severity of depressive affect but not sleep disruption, significantly predicted variation in the WM scores. In agreement with studies of estradiol and WM in other contexts, higher estradiol was associated with better WM, while higher levels of depressive symptoms predicted poorer WM. We conclude that memory disturbance during gestation might not be as widespread as commonly believed, but can be seen among women experiencing antepartum depression. The high level of WM performance found in healthy, non-depressed, pregnant women is discussed from an adaptationist perspective. Copyright © 2015 Elsevier Inc. All rights reserved.

  19. The influence of thoughts of death and suicidal ideation on the course of depression in older depressed patients.

    Science.gov (United States)

    Bogers, Ista C H M; Zuidersma, Marij; Boshuisen, Marjolein L; Comijs, Hannie C; Oude Voshaar, Richard C

    2017-08-01

    Thoughts of death are not regularly included in diagnostic instruments and rarely examined separately from thoughts of suicide. This exploratory study examined whether thoughts of death and thoughts of suicide affect the course of late-life depressive disorders. In 378 depressed older persons, thoughts of death and thoughts of suicide were assessed using questions from the Composite International Diagnostic Interview. After 2 years, the presence of a DSM-IV-TR diagnosis of minor or major depression or dysthymia was assessed with the Composite International Diagnostic Interview. The Inventory of Depressive Symptomatology was administered every 6 months up till 3-year follow-up. Multinomial logistic regression showed that thoughts of death as well as thoughts of suicide predicted double depression at follow-up (OR = 2.14 [95% CI: 1.04-4.40] and OR = 6.47 [95% CI: 2.22-3.02], respectively), compared with patients without these thoughts. Results became non-significant when adjusted for baseline depression severity (OR = 1.17 [95% CI: 0.52-2.63] and OR = 2.57 [95% CI: 0.79-8.84], respectively). Mixed linear models showed that severity of depression was lowest in the reference group, while symptoms decreased more over time in those with either thoughts of death or suicide. Patients with thoughts of death or with thoughts of suicide were more severely depressed at baseline and follow-up, with the highest risk of being depressed at follow-up for patients with thoughts of suicide. These associations could be explained by baseline depression severity. The results suggest that thoughts of death and thoughts of suicide are important risk markers in predicting the course of depression. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

  20. Maternal postpartum depression and infant social withdrawal among human immunodeficiency virus (HIV) positive mother-infant dyads.

    Science.gov (United States)

    Hartley, C; Pretorius, K; Mohamed, A; Laughton, B; Madhi, S; Cotton, M F; Steyn, B; Seedat, S

    2010-05-01

    Maternal postpartum depression poses significant risks for mother-child interaction and long-term infant outcomes. Human immunodeficiency virus (HIV) status has also been implicated in the development of postpartum depression, but the association between maternal depression and infant social behavior in the context of HIV infection has not been fully investigated. First, we examined the relationship between maternal postpartum depression and infant social withdrawal at 10-12 months of age in HIV-infected mothers and infants. Second, we ascertained whether infant social withdrawal could be significantly predicted by maternal postpartum depression. The sample consisted of 83 HIV-infected mother-infant dyads. Mothers were assessed for postpartum depression with the Edinburgh Postnatal Depression Scale (EPDS), and infant social withdrawal behavior was rated using the Modified Alarm Distress Baby Scale (m-ADBB). 42.2% of the mothers scored above the cut-off point for depression on the EPDS, and a third of infants (31%) were socially withdrawn. Notably, maternal depression did not predict infant social withdrawal as measured by the m-ADBB. Infant social withdrawal was also not significantly associated with failure to thrive or gender. These preliminary findings need further investigation with respect to the impact on long-term neurodevelopmental and behavioral outcomes.

  1. To what extent do single symptoms from a depression rating scale predict risk of long-term sickness absence among employees who are free of clinical depression?

    DEFF Research Database (Denmark)

    Rugulies, R; Hjarsbech, PU; Aust, B

    2013-01-01

    workers free of clinical depression, feelings of low spirits and sadness, feelings of lack of energy and strength, and sleep disturbances predict risk of LTSA. Interventions that decrease the prevalence of these symptoms might contribute to a reduction in LTSA in this population....

  2. Moderation of Breastfeeding Effects on Adult Depression by Estrogen Receptor Gene Polymorphism

    Directory of Open Access Journals (Sweden)

    Päivi Merjonen

    2012-01-01

    Full Text Available Breastfeeding is known to benefit both the mother’s and the child’s health. Our aim was to test the interactive effects between estrogen receptor 1 (ESR1 rs2234693 and breastfeeding when predicting the child’s later depression in adulthood. A sample of 1209 boys and girls from the Young Finns Study were followed from childhood over 27 years up to age 30–45 years. Adulthood depressive symptoms were self-reported by the participants using the Beck Depression Inventory. Breastfeeding as well as several possibly confounding factors was reported by the parents in childhood or adolescence. Breastfeeding tended to predict lower adult depression, while ESR1 rs2234693 was not associated with depression. A significant interaction between breastfeeding and ESR1 was found to predict participants’ depression (P=.004 so that C/C genotype carriers who had not been breastfed had higher risk of depression than T-allele carriers (40.5% versus 13.0% while there were no genotypic differences among those who had been breastfed. In sex-specific analysis, this interaction was evident only among women. We conclude that child’s genes and maternal behavior may interact in the development of child’s adult depression so that breastfeeding may buffer the inherited depression risk possibly associated with the C/C genotype of the ESR1 gene.

  3. Internet-Based Motivation Program for Women With Eating Disorders: Eating Disorder Pathology and Depressive Mood Predict Dropout

    Science.gov (United States)

    Hirschfeld, Gerrit; Rieger, Elizabeth; Schmidt, Ulrike; Kosfelder, Joachim; Hechler, Tanja; Schulte, Dietmar; Vocks, Silja

    2014-01-01

    Background One of the main problems of Internet-delivered interventions for a range of disorders is the high dropout rate, yet little is known about the factors associated with this. We recently developed and tested a Web-based 6-session program to enhance motivation to change for women with anorexia nervosa, bulimia nervosa, or related subthreshold eating pathology. Objective The aim of the present study was to identify predictors of dropout from this Web program. Methods A total of 179 women took part in the study. We used survival analyses (Cox regression) to investigate the predictive effect of eating disorder pathology (assessed by the Eating Disorders Examination-Questionnaire; EDE-Q), depressive mood (Hopkins Symptom Checklist), motivation to change (University of Rhode Island Change Assessment Scale; URICA), and participants’ age at dropout. To identify predictors, we used the least absolute shrinkage and selection operator (LASSO) method. Results The dropout rate was 50.8% (91/179) and was equally distributed across the 6 treatment sessions. The LASSO analysis revealed that higher scores on the Shape Concerns subscale of the EDE-Q, a higher frequency of binge eating episodes and vomiting, as well as higher depression scores significantly increased the probability of dropout. However, we did not find any effect of the URICA or age on dropout. Conclusions Women with more severe eating disorder pathology and depressive mood had a higher likelihood of dropping out from a Web-based motivational enhancement program. Interventions such as ours need to address the specific needs of women with more severe eating disorder pathology and depressive mood and offer them additional support to prevent them from prematurely discontinuing treatment. PMID:24686856

  4. Internet-based motivation program for women with eating disorders: eating disorder pathology and depressive mood predict dropout.

    Science.gov (United States)

    von Brachel, Ruth; Hötzel, Katrin; Hirschfeld, Gerrit; Rieger, Elizabeth; Schmidt, Ulrike; Kosfelder, Joachim; Hechler, Tanja; Schulte, Dietmar; Vocks, Silja

    2014-03-31

    One of the main problems of Internet-delivered interventions for a range of disorders is the high dropout rate, yet little is known about the factors associated with this. We recently developed and tested a Web-based 6-session program to enhance motivation to change for women with anorexia nervosa, bulimia nervosa, or related subthreshold eating pathology. The aim of the present study was to identify predictors of dropout from this Web program. A total of 179 women took part in the study. We used survival analyses (Cox regression) to investigate the predictive effect of eating disorder pathology (assessed by the Eating Disorders Examination-Questionnaire; EDE-Q), depressive mood (Hopkins Symptom Checklist), motivation to change (University of Rhode Island Change Assessment Scale; URICA), and participants' age at dropout. To identify predictors, we used the least absolute shrinkage and selection operator (LASSO) method. The dropout rate was 50.8% (91/179) and was equally distributed across the 6 treatment sessions. The LASSO analysis revealed that higher scores on the Shape Concerns subscale of the EDE-Q, a higher frequency of binge eating episodes and vomiting, as well as higher depression scores significantly increased the probability of dropout. However, we did not find any effect of the URICA or age on dropout. Women with more severe eating disorder pathology and depressive mood had a higher likelihood of dropping out from a Web-based motivational enhancement program. Interventions such as ours need to address the specific needs of women with more severe eating disorder pathology and depressive mood and offer them additional support to prevent them from prematurely discontinuing treatment.

  5. Sleep electroencephalography as a biomarker in depression

    Directory of Open Access Journals (Sweden)

    Steiger A

    2015-04-01

    Full Text Available Axel Steiger, Marcel Pawlowski, Mayumi Kimura Max Planck Institute of Psychiatry, Munich, Germany Abstract: The sleep electroencephalogram (EEG provides biomarkers of depression, which may help with diagnosis, prediction of therapy response, and prognosis in the treatment of depression. In patients with depression, characteristic sleep EEG changes include impaired sleep continuity, disinhibition of rapid-eye-movement (REM sleep, and impaired non-REM sleep. Most antidepressants suppress REM sleep in depressed patients, healthy volunteers, and in animal models. REM suppression appears to be an important, but not an absolute requirement, for antidepressive effects of a substance. Enhanced REM density, a measure for frequency of REM, characterizes high-risk probands for affective disorders. REM-sleep changes were also found in animal models of depression. Sleep-EEG variables were shown to predict the response to treatment with antidepressants. Furthermore, certain clusters of sleep EEG variables predicted the course of the disorder for several years. Some of the predicted sleep EEG markers appear to be related to hypothalamic–pituitary–adrenal system activity. Keywords: biomarkers, depression, sleep EEG, antidepressants, prediction, animal models

  6. Depression, anxiety and stress as negative predictors of life satisfaction in university students

    International Nuclear Information System (INIS)

    Bukhari, S.R.; Saba, F.

    2017-01-01

    Objective: To study the role of depression, anxiety and stress in prediction of life satisfaction in male and female university students. Methodology: The study involved 200 students, 100 males and 100 females selected by using purposive sampling technique from different universities of Islamabad. Age range of participants was 19-30 years (mean 21.79+-2.970). Depression anxiety stress scale-21 (DASS-21 and Life Satisfaction scale were administered. Data were analyzed on SPSS version 19. Results: The result of present study indicated that depression anxiety and stress significantly predict life satisfaction among male and female university students. Conclusion: University students who are facing depression, anxiety and stress are more vulnerable to low levels of life satisfaction. (author)

  7. Symptoms and Treatment of Depression

    Medline Plus

    Full Text Available ... Funded Science on EurekAlert EEG signals accurately predict autism as early as 3 months of age Researchers identify 44 genomic variants associated with depression Brain activity can predict success of depression treatment More News From the Field... Contact Us The ...

  8. [Depression Symptoms of Mothers and Fathers of Persons with Schizophrenia].

    Science.gov (United States)

    Alexandrowicz, Rainer W; König, Daniel; Unger, Annemarie; Klug, Günter; Soulier, Nathalie; Freidl, Marion; Friedrich, Fabian

    2016-05-01

    The purpose of the present study was to investigate if depression symptomatology of patients' parents is predicted by the symptoms of schizophrenia. 101 mothers and 101 fathers of the same patients suffering from schizophrenia were included into this study. Parents filled in the "Beck Depression Inventory". Patients were assessed by means of the "Positive and Negative Syndrome Scale". For statistical analyses a Multidimensional Random Coefficients Multinomial Logit Model was applied. We found a significant positive association between negative symptoms and depression severity of fathers and mothers. Further, a significant positive association between positive symptoms and depression severity of fathers, but not of mothers was found. Our results show that depression of mothers and of fathers is associated with symptoms of schizophrenia even when controlling for potential predictors. © Georg Thieme Verlag KG Stuttgart · New York.

  9. Perceptions of control, burnout, and depressive symptomatology: a replication and extension.

    Science.gov (United States)

    McKnight, J D; Glass, D C

    1995-06-01

    In this 2-year follow-up of 100 nurses, significant increases were observed for burnout and depressive symptomatology. Analysis of change scores and structural equations suggested that the variance shared by burnout and depression (20%) may be attributable to their co-development. A definitive temporal sequence among measures of burnout and depressive affect was not obtained. At initial assessment and follow-up, burned-out nurses displayed accurate perceptions of job uncontrollability, whereas non-burned-out nurses overestimated job control. Perceptual accuracy increased in linear fashion with degree of burnout, irrespective of depressive symptomatology. Frequency of threats to job control predicted a significant amount of the variance in perceptual accuracy, supporting the view that "burnout realism" is reality driven.

  10. Predictive potential of the relationship between values, depression, comorbidity and the perception of quality of life in the elderly rehabilitation clients

    Directory of Open Access Journals (Sweden)

    Tone Brejc

    2002-05-01

    Full Text Available The research objective was to study the predictive potential of the relationship between personal values, depression, comorbidity and the perception of quality of life in 80 older rehabilitation clients, aged 65 years and more with the average age 74,4 years, suffering from serious injury or stroke and referred to geriatric rehabilitation unit of Rehabilitation Institute in Ljubljana, Slovenia. Controlled for age, gender, and disability were used correlational, multiple regression, and multivariate analysis of variables, assessed by Pogačnik's Personal Values Scale, Yesavage's Geriatric Depression Scale, and Charlson's comorbidity index (CMI and WHO Quality of Life Scale-BREF. The results revealed the preference of values of security, affiliation and traditional ethics, reflecting hierarchical change only due to age, not to gender, disability or comorbidity. Depression was not influenced by the personal values, which, conversely, had no significant impact on the perceived quality of life, being assessed as good. The perceived quality of life was negatively associated with functional disability and psychological disatisfaction, and positively with social relationships and evironmental support. Depression was moderate, situationally caused and the only predictor of the perceived quality of life. The results provide support for the conclusion that efforts invested in establishment and maintenance of adequate life conditions of the older rehabilitation patients, enhancing and supporting their feelings of personal strenght, competence and independence may serve better in management of their depression and perceived quality of life than direct counselling interventions focused on changing their values and attitudes.

  11. Socioeconomic Status Is Significantly Associated with the Dietary Intakes of Folate and Depression Scales in Japanese Workers (J-HOPE Study

    Directory of Open Access Journals (Sweden)

    Takuro Shimbo

    2013-02-01

    Full Text Available The association of socioeconomic status (SES with nutrient intake attracts public attention worldwide. In the current study, we examined the associations of SES with dietary intake of folate and health outcomes in general Japanese workers. This Japanese occupational cohort consisted off 2266 workers. SES was assessed by a self-administered questionnaire. Intakes of all nutrients were assessed with a validated, brief and self-administered diet history questionnaire (BDHQ. The degree of depressive symptoms was measured by the validated Japanese version of the K6 scale. Multiple linear regression and stratified analysis were used to evaluate the associations of intake with the confounding factors. Path analysis was conducted to describe the impacts of intake on health outcomes. Education levels and household incomes were significantly associated with intake of folate and depression scales (p < 0.05. After adjusting for age, sex and total energy intake, years of education significantly affect the folate intake (β = 0.117, p < 0.001. The structural equation model (SEM shows that the indirect effect of folate intake is statistically significant and strong (p < 0.05, 56% of direct effect in the pathway of education level to depression scale. Our study shows both education and income are significantly associated with depression scales in Japanese workers, and the effort to increase the folate intake may alleviate the harms of social disparities on mental health.

  12. Stability of depressive symptoms over 3 months post-partum.

    Science.gov (United States)

    Abdollahi, Fatemeh; Zarghami, Mehran; Sazlina, Shariff-Ghazali; Lye, Munn-Sann

    2017-02-01

    Prolonged depression during the post-partum period is associated with maternal and infant mortality and morbidity. Less attention has been given to factors that predict the persistence of depression beyond the first 3 months post-partum. From a longitudinal cohort of 2279 women who attended Mazandaran's primary health centres in 2009, 478 women with an Edinburgh Postnatal Depression Scale (EPDS) score of 12 or greater in the third trimester of pregnancy were recruited. Persistently depressed women (depressed at all three occasions: during pregnancy, and at 2 and 12 weeks post-partum) were compared with those without depression to determine demographic, cultural, obstetric and biopsychosocial predictors for persistence of depression. Data were analysed using chi-square test, t-test and logistic regression models. The stability of depression was found in 193 (46.2 %) of 418 depressed cases who were followed up over the study period. Of those mothers who scored more than the threshold of 12 during the third trimester of pregnancy, 277 (66.3%) and 221 (52.9%) had high EPDS at 2 and 12 weeks post-partum. Psychological distress (based upon the General Health Questionnaire), low maternal parental self-efficacy (based upon the Parental Expectation Survey) and perceived social isolation (based upon the Network Orientation Scale) were independent predictors of persistent depression. Fewer depressed mothers in this study were found to recover during the first 3 months after giving birth. Psychosocial factors predicted sustained depression from pregnancy to 3 months post-partum. The findings highlight the significance of support in enhancing maternal mental health. © 2015 Wiley Publishing Asia Pty Ltd.

  13. Depression among Parents Two to Six Years Following the Loss of a Child by Suicide: A Novel Prediction Model.

    Science.gov (United States)

    Nyberg, Tommy; Hed Myrberg, Ida; Omerov, Pernilla; Steineck, Gunnar; Nyberg, Ullakarin

    2016-01-01

    Parents who lose a child by suicide have elevated risks of depression. No clinical prediction tools exist to identify which suicide-bereaved parents will be particularly vulnerable; we aimed to create a prediction model for long-term depression for this purpose. During 2009 and 2010 we collected data using a nationwide study-specific questionnaire among parents in Sweden who had lost a child aged 15-30 by suicide in years 2004-2007. Current depression was assessed with the Patient Health Questionnaire (PHQ-9) and a single question on antidepressant use. We considered 26 potential predictors assumed clinically assessable at the time of loss, including socio-economics, relationship status, history of psychological stress and morbidity, and suicide-related circumstances. We developed a novel prediction model using logistic regression with all subsets selection and stratified cross-validation. The model was assessed for classification performance and calibration, overall and stratified by time since loss. In total 666/915 (73%) participated. The model showed acceptable classification performance (adjusted area under the curve [AUC] = 0.720, 95% confidence interval [CI] 0.673-0.766), but performed classification best for those at shortest time since loss. Agreement between model-predicted and observed risks was fair, but with a tendency for underestimation and overestimation for individuals with shortest and longest time since loss, respectively. The identified predictors include female sex (odds ratio [OR] = 1.84); sick-leave (OR = 2.81) or unemployment (OR = 1.64); psychological premorbidity debuting during the last 10 years, before loss (OR = 3.64), or more than 10 years ago (OR = 4.96); suicide in biological relatives (OR = 1.54); with non-legal guardianship during the child's upbringing (OR = 0.48); and non-biological parenthood (OR = 0.22) found as protective. Our prediction model shows promising internal validity, but should be externally validated before

  14. Cigarette demand among smokers with elevated depressive symptoms: an experimental comparison with low depressive symptoms.

    Science.gov (United States)

    Secades-Villa, Roberto; Weidberg, Sara; González-Roz, Alba; Reed, Derek D; Fernández-Hermida, José R

    2018-03-01

    Individuals with depression smoke more than smokers without depression. Research has shown that cigarette demand is a useful tool for quantifying tobacco reinforcement and supposes a clinical predictor of treatment outcomes. Despite previous studies examining the relative reinforcing efficacy of nicotine among different populations of smokers, to date, no study has assessed cigarette demand among individuals with elevated depressive symptoms. The aim of this study was to compare cigarette demand among samples of smokers with low and elevated depressive symptoms. Further, it also sought to examine the relationship between depressive symptomatology and the individual CPT demand indices. Participants (80 non-depressed smokers and 85 depressed smokers) completed the 19-item version of the Cigarette Purchase Task (CPT). Depression symptomatology was assessed using the Beck Depression Inventory-Second Edition (BDI-II). Depressed smokers needed to present at least moderate depressive symptoms as indicated by scoring ≥ 20 on the BDI-II. Depressive symptomatology and nicotine dependence were significantly associated with elasticity of demand (R 2  = 0.112; F(2, 155) = 9.756, p = ≤ 0.001). Depressive symptoms, cigarettes per day, and years of regular smoking also predicted breakpoint scores (R 2  = 0.088; F(4, 153) = 3.697, p = 0.007). As smokers with elevated depressive symptoms are less sensitive to increases in cigarette prices than those with low depressive symptomatology, future studies should consider these cigarette demand indices when designing depression-focused smoking cessation treatments. Providing this difficult-to-treat population with interventions that promote both pleasurable and alternative reinforcing activities is highly encouraged.

  15. Reducing Eating Disorder Onset in a Very High Risk Sample with Significant Comorbid Depression: A Randomized Controlled Trial

    Science.gov (United States)

    Taylor, C. Barr; Kass, Andrea E.; Trockel, Mickey; Cunning, Darby; Weisman, Hannah; Bailey, Jakki; Sinton, Meghan; Aspen, Vandana; Schecthman, Kenneth; Jacobi, Corinna; Wilfley, Denise E.

    2015-01-01

    Objective Eating disorders (EDs) are serious problems among college-age women and may be preventable. An indicated on-line eating disorder (ED) intervention, designed to reduce ED and comorbid pathology, was evaluated. Method 206 women (M age = 20 ± 1.8 years; 51% White/Caucasian, 11% African American, 10% Hispanic, 21% Asian/Asian American, 7% other) at very high risk for ED onset (i.e., with high weight/shape concerns plus a history of being teased, current or lifetime depression, and/or non-clinical levels of compensatory behaviors) were randomized to a 10-week, Internet-based, cognitive-behavioral intervention or wait-list control. Assessments included the Eating Disorder Examination (EDE to assess ED onset), EDE-Questionnaire, Structured Clinical Interview for DSM Disorders, and Beck Depression Inventory-II. Results ED attitudes and behaviors improved more in the intervention than control group (p = 0.02, d = 0.31); although ED onset rate was 27% lower, this difference was not significant (p = 0.28, NNT = 15). In the subgroup with highest shape concerns, ED onset rate was significantly lower in the intervention than control group (20% versus 42%, p = 0.025, NNT = 5). For the 27 individuals with depression at baseline, depressive symptomatology improved more in the intervention than control group (p = 0.016, d = 0.96); although ED onset rate was lower in the intervention than control group, this difference was not significant (25% versus 57%, NNT = 4). Conclusions An inexpensive, easily disseminated intervention might reduce ED onset among those at highest risk. Low adoption rates need to be addressed in future research. PMID:26795936

  16. Reducing eating disorder onset in a very high risk sample with significant comorbid depression: A randomized controlled trial.

    Science.gov (United States)

    Taylor, C Barr; Kass, Andrea E; Trockel, Mickey; Cunning, Darby; Weisman, Hannah; Bailey, Jakki; Sinton, Meghan; Aspen, Vandana; Schecthman, Kenneth; Jacobi, Corinna; Wilfley, Denise E

    2016-05-01

    Eating disorders (EDs) are serious problems among college-age women and may be preventable. An indicated online eating disorder (ED) intervention, designed to reduce ED and comorbid pathology, was evaluated. 206 women (M age = 20 ± 1.8 years; 51% White/Caucasian, 11% African American, 10% Hispanic, 21% Asian/Asian American, 7% other) at very high risk for ED onset (i.e., with high weight/shape concerns plus a history of being teased, current or lifetime depression, and/or nonclinical levels of compensatory behaviors) were randomized to a 10-week, Internet-based, cognitive-behavioral intervention or waitlist control. Assessments included the Eating Disorder Examination (EDE, to assess ED onset), EDE-Questionnaire, Structured Clinical Interview for DSM Disorders, and Beck Depression Inventory-II. ED attitudes and behaviors improved more in the intervention than control group (p = .02, d = 0.31); although ED onset rate was 27% lower, this difference was not significant (p = .28, NNT = 15). In the subgroup with highest shape concerns, ED onset rate was significantly lower in the intervention than control group (20% vs. 42%, p = .025, NNT = 5). For the 27 individuals with depression at baseline, depressive symptomatology improved more in the intervention than control group (p = .016, d = 0.96); although ED onset rate was lower in the intervention than control group, this difference was not significant (25% vs. 57%, NNT = 4). An inexpensive, easily disseminated intervention might reduce ED onset among those at highest risk. Low adoption rates need to be addressed in future research. (c) 2016 APA, all rights reserved).

  17. [Psychological gender in clinical depression. Preliminary study].

    Science.gov (United States)

    Szpitalak, Malwina; Prochwicz, Katarzyna

    2013-01-01

    Psychosocial and social theories of mood disorders indicate that factors connected with women's gender roles could create a higher risk of depression. The fact that social role is an important factor associated with depressive disorders suggests that not only a biological but also a psychological gender influences the vulnerability to depression. Gender schema theory was applied to investigate a role of femininity in depressive disorders. It was predicted that patients who identify themselves with the traditional feminine gender role will be more depressed than androgynous and undifferentiated patients or individuals with high level of masculinity. Sixty one patients suffering from affective disorder participated in this research. The Polish adaptation of Bem Sex - Role Inventory and Beck Depression Inventory were used to investigate the association between psychological gender and symptoms of depression. The results indicated that there is a significant connection between the type of psychological gender and the level of depression. The highest level of depression was shown by undifferentiated patients, femininity was also found to be associated with a great number of depressive symptoms. These findings also suggest that androgynous individuals and patients with a high level of masculinity tend to be less depressed. Psychological gender is an important factor which interacts to create a higher depression risk in men and women.

  18. Comorbidity effects on cocaine dependence treatment and examination of reciprocal relationships between abstinence and depression.

    Science.gov (United States)

    Milby, Jesse B; Conti, Kimberly; Wallace, Dennis; Mennemeyer, Stephen; Mrug, Sylvie; Schumacher, Joseph E

    2015-02-01

    We examined comorbid disorders' prevalence, their impact on abstinence, and the impact of depressive symptoms on abstinence and of abstinence on depressive symptoms. A randomized controlled trial's data on outcomes from treating cocaine dependence were used. It compared abstinence-contingent housing and work to contingency management plus behavioral day treatment. Regardless of original trial arm assignment, groups of participants with no additional Axis I disorders (n = 87) and 1 or more additional Axis I disorders (n = 113) were compared for abstinence. Changes in depression symptoms, measured by the Beck Depression Inventory, were analyzed as a function of 4 cohorts of increased consecutive weeks abstinent. An autoregressive cross-lagged path model examined reciprocal relationships between depression and abstinence. Most prevalent additional disorders were depressive disorders, followed by anxiety disorders. Additional disorders did not significantly affect abstinence. Cohorts with more abstinence were linearly related to lower depression symptoms. The cross-lagged model showed that longer abstinence predicted decreases in depressive symptoms at 6 months. However, depressive symptoms did not predict changes in abstinence. Our study adds to others that have found an effective treatment targeted at specific problems such as substance abuse, social anxiety disorder, and posttraumatic stress disorder that may have the side benefit of reducing depression. Additionally, we find that depression does not interfere with effective substance abuse treatment for cocaine dependency. This may be the 1st formal analysis comparing the ability of cocaine abstinence to predict future depressive symptoms versus depressive symptoms to predict future cocaine abstinence. (PsycINFO Database Record (c) 2015 APA, all rights reserved).

  19. Quality of Acute Psychedelic Experience Predicts Therapeutic Efficacy of Psilocybin for Treatment-Resistant Depression.

    Science.gov (United States)

    Roseman, Leor; Nutt, David J; Carhart-Harris, Robin L

    2017-01-01

    Introduction: It is a basic principle of the "psychedelic" treatment model that the quality of the acute experience mediates long-term improvements in mental health. In the present paper we sought to test this using data from a clinical trial assessing psilocybin for treatment-resistant depression (TRD). In line with previous reports, we hypothesized that the occurrence and magnitude of Oceanic Boundlessness (OBN) (sharing features with mystical-type experience) and Dread of Ego Dissolution (DED) (similar to anxiety) would predict long-term positive outcomes, whereas sensory perceptual effects would have negligible predictive value. Materials and Methods: Twenty patients with treatment resistant depression underwent treatment with psilocybin (two separate sessions: 10 and 25 mg psilocybin). The Altered States of Consciousness (ASC) questionnaire was used to assess the quality of experiences in the 25 mg psilocybin session. From the ASC, the dimensions OBN and DED were used to measure the mystical-type and challenging experiences, respectively. The Self-Reported Quick Inventory of Depressive Symptoms (QIDS-SR) at 5 weeks served as the endpoint clinical outcome measure, as in later time points some of the subjects had gone on to receive new treatments, thus confounding inferences. In a repeated measure ANOVA, Time was the within-subject factor (independent variable), with QIDS-SR as the within-subject dependent variable in baseline, 1-day, 1-week, 5-weeks. OBN and DED were independent variables. OBN-by-Time and DED-by-Time interactions were the primary outcomes of interest. Results: For the interaction of OBN and DED with Time (QIDS-SR as dependent variable), the main effect and the effects at each time point compared to baseline were all significant ( p = 0.002 and p = 0.003, respectively, for main effects), confirming our main hypothesis. Furthermore, Pearson's correlation of OBN with QIDS-SR (5 weeks) was specific compared to perceptual dimensions of the ASC ( p

  20. Quality of Acute Psychedelic Experience Predicts Therapeutic Efficacy of Psilocybin for Treatment-Resistant Depression

    Directory of Open Access Journals (Sweden)

    Leor Roseman

    2018-01-01

    Full Text Available Introduction: It is a basic principle of the “psychedelic” treatment model that the quality of the acute experience mediates long-term improvements in mental health. In the present paper we sought to test this using data from a clinical trial assessing psilocybin for treatment-resistant depression (TRD. In line with previous reports, we hypothesized that the occurrence and magnitude of Oceanic Boundlessness (OBN (sharing features with mystical-type experience and Dread of Ego Dissolution (DED (similar to anxiety would predict long-term positive outcomes, whereas sensory perceptual effects would have negligible predictive value.Materials and Methods: Twenty patients with treatment resistant depression underwent treatment with psilocybin (two separate sessions: 10 and 25 mg psilocybin. The Altered States of Consciousness (ASC questionnaire was used to assess the quality of experiences in the 25 mg psilocybin session. From the ASC, the dimensions OBN and DED were used to measure the mystical-type and challenging experiences, respectively. The Self-Reported Quick Inventory of Depressive Symptoms (QIDS-SR at 5 weeks served as the endpoint clinical outcome measure, as in later time points some of the subjects had gone on to receive new treatments, thus confounding inferences. In a repeated measure ANOVA, Time was the within-subject factor (independent variable, with QIDS-SR as the within-subject dependent variable in baseline, 1-day, 1-week, 5-weeks. OBN and DED were independent variables. OBN-by-Time and DED-by-Time interactions were the primary outcomes of interest.Results: For the interaction of OBN and DED with Time (QIDS-SR as dependent variable, the main effect and the effects at each time point compared to baseline were all significant (p = 0.002 and p = 0.003, respectively, for main effects, confirming our main hypothesis. Furthermore, Pearson's correlation of OBN with QIDS-SR (5 weeks was specific compared to perceptual dimensions of the

  1. Whiplash-associated disorders: who gets depressed? Who stays depressed?

    OpenAIRE

    Phillips, Leah A.; Carroll, Linda J.; Cassidy, J. David; Côté, Pierre

    2010-01-01

    Depression is common in whiplash-associated disorders (WAD). Our objectives were to identify factors associated with depressive symptomatology occurring in the initial stages of WAD, and to identify factors predicting the course of depressive symptoms. A population-based cohort of adults sustaining traffic-related WAD was followed at 6 weeks, 3, 6, 9, and 12 months. Baseline measures (assessed a median of 11 days post-crash) included demographic and collision-related factors, prior health, an...

  2. Examining the relation between respiratory sinus arrhythmia and depressive symptoms in emerging adults: A longitudinal study.

    Science.gov (United States)

    Yaptangco, Mona; Crowell, Sheila E; Baucom, Brian R; Bride, Daniel L; Hansen, Erik J

    2015-09-01

    Major depressive disorder (MDD) is a debilitating and prevalent disorder associated with lower quality of life and substantial economic burden. Recently, there has been strong interest in respiratory sinus arrhythmia (RSA) as a biological predictor of later depression. Theoretical work suggests that higher resting RSA indexes physiological flexibility and better emotion regulation whereas lower RSA may mark vulnerability for psychopathology. However, empirical findings have varied. This study examined whether lower resting RSA predicted later depressive symptoms in a sample of healthy young adults across one year (n=185). Results indicate that year one (Y1) resting RSA predicted Y2 depressive symptoms. This finding remained significant when accounting for the stability of RSA and depressive symptoms across both time points and when including trait anxiety, body mass index, and medication use in statistical models. Findings provide further support for RSA as a promising biological marker for understanding and predicting depressive symptoms. Copyright © 2015 Elsevier B.V. All rights reserved.

  3. Mid-term follow-up of whiplash with Bournemouth Questionnaire: the significance of the initial depression to pain ratio.

    Science.gov (United States)

    Griggs, R K L; Cook, J; Gargan, M; Bannister, G; Amirfeyz, R

    2015-01-01

    The Bournemouth Questionnaire (BQ) was used to report the short to mid-term outcome of a prospective cohort of patients who had sustained Whiplash Associated Disorder (WAD), and establish whether outcome could be predicted on initial assessment. One hundred patients with WAD grades I-III on the Quebec Task Force Classification were referred for physiotherapy (neck posture advice, initially practised under the direct supervision of a therapist). BQ scores were recorded on the first visit, at six weeks, then at final follow-up. Seventy-six percent of patients were available at final follow-up, 58% women. The mean age was 43.2 years old and follow-up time 38 months (28-48). Symptoms plateaued after six weeks in the majority and improved gradually thereafter. When the individual BQ components on initial presentation were reassessed, patients who score disproportionately highly in BQ Question 5 (Depression) had a worse outcome. To quantify this, the ratio of BQ Questions 5 (Depression)/1 (Pain) was calculated. BQ5/1 ratio greater than 1 on initial presentation had an odds ratio of 2 for poor outcome (p= 0.02). The BQ can therefore be used to identify patients with a disproportionately high depression score (BQ5) who are highly likely to clinically deteriorate in the medium term.

  4. Course of depressive symptoms in overweight youth participating in a lifestyle intervention: associations with weight reduction.

    Science.gov (United States)

    Pott, Wilfried; Albayrak, Ozgür; Hebebrand, Johannes; Pauli-Pott, Ursula

    2010-10-01

    The study investigates whether preintervention depressive symptoms predict weight loss and whether an increase in depressive symptoms during a group-based lifestyle intervention of 1 year's duration is associated with failure in weight reduction while controlling for the influence of psychosocial risks. Participants were 136 overweight and obese children and adolescents between 7 and 15 years, who had been referred for weight reduction treatment by local pediatric practices. Depressive symptoms in the child/adolescent were screened by a German version of the Children's Depression Inventory, in accordance with DSM-IV criteria, at baseline and conclusion of the program. Family adversity was assessed using the Psychosocial Risk Index at baseline. Preintervention maternal depression was assessed using the Center for Epidemiological Studies Depression Scale. Preintervention depressive symptoms in the child/adolescent did not predict reduction in body mass index-standard deviation score. High number of psychosocial risks predicted an increase in depressive symptoms. Independently of this association, failure to reduce weight within the 1-year duration of the program was significantly associated with an increase in depressive symptoms. It is necessary to identify cases at risk to offer further and more specific support.

  5. Attributional style and depressive symptoms in a male prison sample

    Science.gov (United States)

    O’Sullivan, Danny J.; O’Sullivan, Maura E.; O’Connell, Brendan D.; O’Reilly, Ken; Sarma, Kiran M.

    2018-01-01

    The reformulated learned helplessness model proposes that people who tend to make internal, stable, and global attributions in response to uncontrollable aversive events are more likely to develop depression. The present study sought to investigate the nature of the relationship between attributional style and depression in a male prison sample. One hundred and one adult male prisoners from four medium security prisons in Ireland completed the Attributional Style Questionnaire and measures of depression (BDI-II) and anxiety (BAI). Severity of self-reported depressive symptoms in the present sample was comparable to other prison and clinical samples, but higher than community samples. Participants were more severely affected by depressive symptoms than anxiety. The original attributional dimensions (i.e. internal, stable, and global) predicted a significant amount of variance in depression, but the model was not significant after controlling for anxiety. A subsequent regression model, comprising attributional dimensions for both negative events and positive events including a measure of ‘uncontrollability’, accounted for 35% of the variance in depression and the model retained significance while controlling for anxiety. An attributional model of depression may be relevant to the prison population and could provide a valid insight into the development and treatment of depressive symptoms in prisoners. The findings are interpreted in relation to previous research and implications for theory, clinical practice, and rehabilitation are discussed. PMID:29444084

  6. Attributional style and depressive symptoms in a male prison sample.

    Directory of Open Access Journals (Sweden)

    Danny J O'Sullivan

    Full Text Available The reformulated learned helplessness model proposes that people who tend to make internal, stable, and global attributions in response to uncontrollable aversive events are more likely to develop depression. The present study sought to investigate the nature of the relationship between attributional style and depression in a male prison sample. One hundred and one adult male prisoners from four medium security prisons in Ireland completed the Attributional Style Questionnaire and measures of depression (BDI-II and anxiety (BAI. Severity of self-reported depressive symptoms in the present sample was comparable to other prison and clinical samples, but higher than community samples. Participants were more severely affected by depressive symptoms than anxiety. The original attributional dimensions (i.e. internal, stable, and global predicted a significant amount of variance in depression, but the model was not significant after controlling for anxiety. A subsequent regression model, comprising attributional dimensions for both negative events and positive events including a measure of 'uncontrollability', accounted for 35% of the variance in depression and the model retained significance while controlling for anxiety. An attributional model of depression may be relevant to the prison population and could provide a valid insight into the development and treatment of depressive symptoms in prisoners. The findings are interpreted in relation to previous research and implications for theory, clinical practice, and rehabilitation are discussed.

  7. Attributional style and depressive symptoms in a male prison sample.

    Science.gov (United States)

    O'Sullivan, Danny J; O'Sullivan, Maura E; O'Connell, Brendan D; O'Reilly, Ken; Sarma, Kiran M

    2018-01-01

    The reformulated learned helplessness model proposes that people who tend to make internal, stable, and global attributions in response to uncontrollable aversive events are more likely to develop depression. The present study sought to investigate the nature of the relationship between attributional style and depression in a male prison sample. One hundred and one adult male prisoners from four medium security prisons in Ireland completed the Attributional Style Questionnaire and measures of depression (BDI-II) and anxiety (BAI). Severity of self-reported depressive symptoms in the present sample was comparable to other prison and clinical samples, but higher than community samples. Participants were more severely affected by depressive symptoms than anxiety. The original attributional dimensions (i.e. internal, stable, and global) predicted a significant amount of variance in depression, but the model was not significant after controlling for anxiety. A subsequent regression model, comprising attributional dimensions for both negative events and positive events including a measure of 'uncontrollability', accounted for 35% of the variance in depression and the model retained significance while controlling for anxiety. An attributional model of depression may be relevant to the prison population and could provide a valid insight into the development and treatment of depressive symptoms in prisoners. The findings are interpreted in relation to previous research and implications for theory, clinical practice, and rehabilitation are discussed.

  8. An Overview of Depression among Transgender Women

    Directory of Open Access Journals (Sweden)

    Beth Hoffman

    2014-01-01

    Full Text Available Rates of depression are higher in transgender women than in the general population, warranting an understanding of the variables related to depression in this group. Results of the literature review of depression in transgender women reveal several variables influencing depression, including social support, violence, sex work, and gender identity. The theoretical constructs of minority stress, coping, and identity control theory are explored in terms of how they may predict depression in transgender women. Depression and depressive symptoms have been used to predict high-risk sexual behaviors with mixed results. The implications of the findings on treating depression in transgender women include taking into account the stress of transition and the importance of supportive peers and family. Future studies should explore a model of depression and high-risk behaviors in transgender women.

  9. An experimental investigation of emotional reasoning processes in depression.

    Science.gov (United States)

    Berle, David; Moulds, Michelle L

    2013-09-01

    Cognitive models of depression emphasize how distorted thoughts and interpretations contribute to low mood. Emotional reasoning is considered to be one such interpretative style. We used an experimental procedure to determine whether elevated levels of emotional reasoning characterize depression. Participants who were currently experiencing a major depressive episode (n = 27) were compared with those who were non-depressed (n = 25 who had never been depressed and n = 26 previously but not currently depressed) on an emotional reasoning task. Although there were some trends for depressed participants to show greater levels of emotional reasoning relative to non-depressed participants, none of these differences attained significance. Interestingly, previously depressed participants engaged in more non-self-referent emotional reasoning than never-depressed participants. Emotional reasoning does not appear to characterize mild to moderate levels of depression. The lack of significant differences in emotional reasoning between currently depressed and non-depressed participants may have been a consequence of the fact that participants in our currently depressed group were, for the most part, only mildly depressed. Non-self-referent emotional reasoning may nevertheless be a risk factor for subsequent depressive episodes, or else serve as a 'cognitive scar' from previous episodes. In contrast with the predictions of cognitive models of depression, emotional reasoning tendencies may not be especially prominent in currently depressed individuals. Depressed individuals vary greatly in the degree to which they engage in emotional reasoning. Individuals with remitted depression may show elevated of levels non-self-referent emotional reasoning compared with those who have never had a depressive episode, that is, rely on their emotions when forming interpretations about situations. Our findings require replication using alternative indices of emotional reasoning. Our currently

  10. Body Dissatisfaction Prospectively Predicts Depressive Mood and Low Self-Esteem in Adolescent Girls and Boys

    Science.gov (United States)

    Paxton, Susan J.; Neumark-Sztainer, Dianne; Hannan, Peter J.; Eisenberg, Marla E.

    2006-01-01

    This research examined whether body dissatisfaction prospectively predicted depressive mood and low self-esteem in adolescent girls and boys 5 years later. Participants were early-adolescent girls (n = 440, Time 1 M age = 12.7 years) and boys (n = 366, Time 1 M age = 12.8 years) and midadolescent girls (n = 946, Time 1 M age = 15.8 years) and boys…

  11. Predictive value of object relations for therapeutic alliance and outcome in psychotherapy for depression: an exploratory study

    NARCIS (Netherlands)

    Van, H.L.; Hendriksen, M.; Schoevers, R.A.; Peen, J.; Abraham, R.A.; Dekker, J.J.M.

    2008-01-01

    The concept of object relations has been shown to be relevant for the process and outcome of psychodynamic psychotherapies. However, little is known about its relevance for the psychotherapeutic treatment of depression. In this study, we explored the predictive value of object relational functioning

  12. Hijab and Depression: Does the Islamic Practice of Veiling Predict Higher Levels of Depressive Symptoms?

    Science.gov (United States)

    Hodge, David R; Husain, Altaf; Zidan, Tarek

    2017-07-01

    Hijab or veiling is commonly practiced by Muslim women but remains controversial in the broader secular society. Some Western feminists argue that veiling is an oppressive behavior that negatively affects women by, for example, engendering depression. This article tests this hypothesis with a national sample of American Muslim women (N = 194). The results of the regression analysis did not support the hypothesis. Indeed, women who veiled more frequently reported lower, rather than higher, levels of depressive symptoms. In other words, wearing the hijab appears to be a protective factor in the area of depression. Given the prevalence of depression among women, the results have important implications for practice with Muslim women at both the micro and the macro levels. © 2017 National Association of Social Workers.

  13. Negative cognitive style and cortisol recovery accentuate the relationship between life stress and depressive symptoms.

    Science.gov (United States)

    Quinn, Meghan E; Grant, Kathryn E; Adam, Emma K

    2018-03-01

    When exposed to stressful life events, a significant number of adolescents will experience depressive symptoms. One model of depression suggests that individuals with a negative cognitive style are most vulnerable to depression following life stress. Alternatively, altered activation of the hypothalamic-pituitary-adrenal axis may explain vulnerability to depression following life stress. Each of these models plausibly explains the emergence of depressive symptoms during adolescence and have been investigated largely independently. The current study recruited a sample of urban adolescents (N = 179) to evaluate whether cortisol response to a laboratory stress induction and negative cognitive style are related and whether they independently interact with exposure to stressful life events to predict symptoms of depression. Negative cognitive style was not associated with cortisol response to the laboratory stressor. Rather, negative cognitive style and cortisol recovery independently interacted with stressful life events to predict current symptoms of depression. Results support a heterogeneous etiology of depression.

  14. Breastfeeding cessation and symptoms of anxiety and depression: a longitudinal cohort study

    Directory of Open Access Journals (Sweden)

    Ystrom Eivind

    2012-05-01

    Full Text Available Abstract Background Neonatal anxiety and depression and breastfeeding cessation are significant public health problems. There is an association between maternal symptoms of anxiety and depression and early breastfeeding cessation. In earlier studies, the causality of this association was interpreted both ways; symptoms of anxiety and depression prepartum significantly impacts breastfeeding, and breastfeeding cessation significantly impacts symptoms of anxiety and depression. First, we aimed to investigate whether breastfeeding cessation is related to an increase in symptoms of anxiety and depression from pregnancy to six months postpartum. Second, we also investigated whether the proposed symptom increase after breastfeeding cessation was disproportionately high for those women already suffering from high levels of anxiety and depression during pregnancy. Methods To answer these objectives, we examined data from 42 225 women in the Norwegian Mother and Child Cohort Study (MoBa. Subjects were recruited in relation to a routine ultra-sound examination, and all pregnant women in Norway were eligible. We used data from the Medical Birth Registry of Norway and questionnaires both pre and post partum. Symptoms of anxiety and depression at six months postpartum were predicted in a linear regression analysis by WHO-categories of breastfeeding, symptoms of anxiety and depression prepartum (standardized score, and interaction terms between breastfeeding categories and prepartum symptoms of anxiety and depression. The results were adjusted for cesarean sections, primiparity, plural births, preterm births, and maternal smoking. Results First, prepartum levels of anxiety and depression were related to breastfeeding cessation (β 0.24; 95% CI 0.21-0.28, and breastfeeding cessation was predictive of an increase in postpartum anxiety and depression ( β 0.11; 95%CI 0.09-0.14. Second, prepartum anxiety and depression interacted with the relation between

  15. Studies on clinical significance of exercise-induced ST-segment depression at non-infarct-related leads in the patients with prior myocardial infarction using the stress scintigraphy

    International Nuclear Information System (INIS)

    Ohkubo, Toshitaka

    1988-01-01

    Stress Tl-201 myocardial imaging and stress radionuclide ventriculography were performed in a total of 67 patients with prior myocardial infarction (MI) to assess the clinical significance of exercise induced ST-segment depression at non-infarct-related leads on ECG during the chronic stage. The patients consisted of 12 with inferior MI with single vessel disease (SVD) that showed no precordial ST-segment depression; 7 with inferior MI with SVD accompanied by precordial ST-segment depression; 13 with inferior MI with multivessel disease (MVD); 20 with anterior MI with SVD that showed no inferior ST-segment depression; 4 with anterior MI with SVD accompanied by inferior ST-segment depression; and 11 with anterior MI with MVD. In cases of SVD, the incidence of ST-segment depression at non-infarct-related leads was higher for inferior MI (36.8%) than anterior MI (16.7%). Myocardial imaging revealed large infarct and infarct extending into the inferoseptal wall of the left ventricle (LV) in cases of exercise induced precordial ST-segment depression; and infarct extending into the lateral wall of LV in cases of exercise induced inferior ST-segment depression. In detecting MVD, stress Tl-201 myocardial imaging was superior to exercise electrocardiography and stress radionuclide ventriculography, but this was not statistically significant. Prognostic value of error rate for detecting MVD was significantly improved with a discriminant analysis. Exercise induced ST-segment depression on ECG should be of clinical significance in reflecting myocardial ischemia around an infarcted area. (Namekawa, K)

  16. Is the Predictability of New-Onset Postpartum Depression Better During Pregnancy or in the Early Postpartum Period? A Prospective Study in Croatian Women.

    Science.gov (United States)

    Nakić Radoš, Sandra; Herman, Radoslav; Tadinac, Meri

    2016-01-01

    The researchers' aim was to examine whether it was better to predict new-onset postpartum depression (PPD) during pregnancy or immediately after childbirth. A prospective study conducted in Croatia followed women (N = 272) from the third trimester of pregnancy through the early postpartum period (within the first 3 postpartum days), to 6 weeks postpartum. Questionnaires on depression, anxiety, stress, coping, self-esteem, and social support were administered. Through regression analyses we showed that PPD symptoms could be equally predicted by variables from pregnancy (30.3%) and the early postpartum period (34.0%), with a small advantage of PPD prediction in the early postpartum period.

  17. Rumination prospectively predicts executive functioning impairments in adolescents.

    Science.gov (United States)

    Connolly, Samantha L; Wagner, Clara A; Shapero, Benjamin G; Pendergast, Laura L; Abramson, Lyn Y; Alloy, Lauren B

    2014-03-01

    The current study tested the resource allocation hypothesis, examining whether baseline rumination or depressive symptom levels prospectively predicted deficits in executive functioning in an adolescent sample. The alternative to this hypothesis was also evaluated by testing whether lower initial levels of executive functioning predicted increases in rumination or depressive symptoms at follow-up. A community sample of 200 adolescents (ages 12-13) completed measures of depressive symptoms, rumination, and executive functioning at baseline and at a follow-up session approximately 15 months later. Adolescents with higher levels of baseline rumination displayed decreases in selective attention and attentional switching at follow-up. Rumination did not predict changes in working memory or sustained and divided attention. Depressive symptoms were not found to predict significant changes in executive functioning scores at follow-up. Baseline executive functioning was not associated with change in rumination or depression over time. Findings partially support the resource allocation hypothesis that engaging in ruminative thoughts consumes cognitive resources that would otherwise be allocated towards difficult tests of executive functioning. Support was not found for the alternative hypothesis that lower levels of initial executive functioning would predict increased rumination or depressive symptoms at follow-up. Our study is the first to find support for the resource allocation hypothesis using a longitudinal design and an adolescent sample. Findings highlight the potentially detrimental effects of rumination on executive functioning during early adolescence. Copyright © 2013 Elsevier Ltd. All rights reserved.

  18. Ventilatory Response to Hypercapnia Predicts Dementia with Lewy Bodies in Late-Onset Major Depressive Disorder.

    Science.gov (United States)

    Takahashi, Sho; Mizukami, Katsuyoshi; Arai, Tetsuaki; Ogawa, Ryoko; Kikuchi, Norihiro; Hattori, Satoshi; Darby, David; Asada, Takashi

    2016-01-01

    Studies have shown that developing major depressive disorder (MDD) at 50 years of age or older can predict dementia. Depression is particularly common in dementia with Lewy bodies (DLB), and occasionally occurs before the onset of extrapyramidal symptoms. Moreover, systemic autonomic dysfunction, including an abnormal ventilatory response to hypercapnia (VRH), is common in patients with DLB. Here, we aimed to determine whether the VRH is useful for distinguishing depression that is predictive of DLB from other types of MDD. Participants were 35 consecutive patients with first onset MDD at 50 years or older with bradykinesia. After diagnosing the clinical subtype of MDD according to DSM-IV criteria, each subject underwent a battery of psychological tests, autonomic examinations including VRH, brain magnetic resonance imaging, and 123I-meta-iodobenzylguanidine scintigraphy. Longitudinal follow-up showed that all 18 patients with abnormal VRH results developed DLB, whereas none of the 17 patients with normal VRH results converted to DLB within the study period (sensitivity: 100% , specificity: 100%). Additionally, over half of the DLB converters showed abnormalities on other autonomic examinations. For converters, the most common MDD subtype had psychotic and melancholic features simultaneously. The frequency of hypersensitivity to psychotropics was higher in converters than it was in non-converters. In the present study, patients with abnormal VRH results were very likely to develop DLB. Thus, for patients with late-onset MDD accompanied by bradykinesia, the VRH in combination with the clinical subtype of MDD or hypersensitivity to psychotropics may be useful for diagnosing prodromal DLB.

  19. Hair cortisol levels, psychological stress and psychopathological symptoms as predictors of postpartum depression.

    Science.gov (United States)

    Caparros-Gonzalez, Rafael A; Romero-Gonzalez, Borja; Strivens-Vilchez, Helen; Gonzalez-Perez, Raquel; Martinez-Augustin, Olga; Peralta-Ramirez, Maria Isabel

    2017-01-01

    Postpartum depression affects a huge number of women and has detrimental consequences. Knowing the factors associated with postpartum depression during pregnancy can help its prevention. Although there is evidence surrounding behavioral or psychological predictors of postpartum depression, there is a lack of evidence of biological forecasters. The aim of this study was to analyze the sociodemographic, obstetric, and psychological variables along with hair cortisol levels during the first, second, and third trimesters of pregnancy that could predict postpartum depression symptoms. A sample of 44 pregnant women was assessed during 3 trimesters of pregnancy and the postpartum period using psychological questionnaires and hair cortisol levels. Participants were divided into 2 groups: a group with postpartum depression symptoms and a group with no postpartum depression symptoms. Results showed significant positive differences between groups in the first trimester regarding the Somatization subscale of the SCL-90-R (p Depression, Anxiety, and GSI subscales (p postpartum depression symptoms. In conclusion, our study provided evidence that psychopathological symptoms, pregnancy-specific stress, and hair cortisol levels can predict postpartum depression symptoms at different time-points during pregnancy. These findings can be applied in future studies and improve maternal care in clinical settings.

  20. Symptoms of depression and anxiety predict mortality in patients undergoing oral anticoagulation: Results from the thrombEVAL study program.

    Science.gov (United States)

    Michal, Matthias; Prochaska, Jürgen H; Keller, Karsten; Göbel, Sebastian; Coldewey, Meike; Ullmann, Alexander; Schulz, Andreas; Lamparter, Heidrun; Münzel, Thomas; Reiner, Iris; Beutel, Manfred E; Wild, Philipp S

    2015-01-01

    Depression and anxiety are highly prevalent in cardiovascular patients. Therefore, we examined whether the 4-item Patient Health Questionnaire (PHQ-4, measuring symptoms of depression and anxiety) predicts all-cause mortality in outpatients with long-term oral anticoagulation (OAC). The sample comprised n=1384 outpatients from a regular medical care setting receiving long-term OAC with vitamin K antagonists. At baseline, symptoms of anxiety and depression were assessed with the PHQ-4 and the past medical history was taken. The outcome was all-cause mortality in the 24 month observation period. The median follow-up time was 13.3 months. N=191 patients from n=1384 died (death rate 13.8%). Each point increase in the PHQ-4 score was associated with a 10% increase in mortality (hazard ratio [HR] 1.10, 95% confidence interval [95% CI] 1.05-1.16) after adjustment for age, sex, high school graduation, partnership, smoking, obesity, frailty according to the Barthel Index, Charlson Comorbidity Index and CHA2DS2-VASc score. The depression component (PHQ-2) increased mortality by 22% and anxiety (GAD-2) by 11% respectively. Neither medical history of any mental disorder, nor intake of antidepressants, anxiolytics or hypnotics predicted excess mortality. Elevated symptoms of depression and, to a lesser degree, symptoms of anxiety are independently associated with all-cause mortality in OAC outpatients. The PHQ-4 questionnaire provides valuable prognostic information. These findings emphasize the need for implementing regular screening procedures and the development and evaluation of appropriate psychosocial treatment approaches for OAC patients. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  1. Predicting optimal outcomes in cognitive therapy or interpersonal psychotherapy for depressed individuals using the personalized advantage index approach

    NARCIS (Netherlands)

    Huibers, M.J.H.; Cohen, Z.D.; Lemmens, L.H.J.M.; Arntz, A.; Peeters, F.P.M.L.; Cuijpers, P.; DeRubeis, R.J.

    2015-01-01

    Introduction: Although psychotherapies for depression produce equivalent outcomes, individual patients respond differently to different therapies. Predictors of outcome have been identified in the context of randomized trials, but this information has not been used to predict which treatment works

  2. Predicting optimal outcomes in cognitive therapy or interpersonal psychotherapy for depressed individuals using the personalized advantage index approach

    NARCIS (Netherlands)

    Huibers, M.J.H.; Cohen, Z.D.; Lemmens, L.H.J.M.; Arntz, A.; Peeters, F.P.M.L.; Cuijpers, P.; DeRubeis, R.J.

    2015-01-01

    Introduction Although psychotherapies for depression produce equivalent outcomes, individual patients respond differently to different therapies. Predictors of outcome have been identified in the context of randomized trials, but this information has not been used to predict which treatment works

  3. The role of Melancholia in prostate cancer patients' depression

    Directory of Open Access Journals (Sweden)

    Sharpley Christopher F

    2011-12-01

    Full Text Available Abstract Background Although it is well established that prostate cancer (PCa patients are more likely to experience clinical depression than their age-matched non-prostate cancer peers, and that such depression can have negative effects upon survival, little is known about the underlying nature of the depressive symptomatology that these men experience. In particular, the incidence of melancholic symptoms of depression, which are signs of increased risk of suicide and resistance to treatment, has not previously been reported in PCa patients. The present study aimed to measure the incidence and nature of Melancholia in PCa depression. Method A sample of 507 PCa patients in Queensland, Australia, completed anonymous and confidential questionnaires about their background, treatment status, and depression. Data were analysed to select depressive symptoms that were part of the definition of Melancholia vs those which were not. Regression was used to determine the links between Melancholia and overall depressive status, and factor analysis revealed the underlying components of Melancholia, which were mapped over time since diagnosis for 3 years. Results Psychometric data were satisfactory. Melancholia significantly predicted depressive status for the most depressed subset of patients, but not for the total sample. Melancholia was factored into its components of Anhedonia and Agitation, and the first of these was more powerful in predicting Melancholia. Variability over the 3 years following diagnosis was noted for each of these two components of Melancholia. Conclusions The strong presence of Melancholia in the depressive symptomatology of this sample of PCa patients suggests that some forms of treatment for depression may be more likely to succeed than others. The dominance of Anhedonia and Agitation over other symptoms of Melancholia also holds implications for treatment options when assisting these men to cope with their depression.

  4. Assessing dependency using self-report and indirect measures: examining the significance of discrepancies.

    Science.gov (United States)

    Cogswell, Alex; Alloy, Lauren B; Karpinski, Andrew; Grant, David A

    2010-07-01

    The present study addressed convergence between self-report and indirect approaches to assessing dependency. We were moderately successful in validating an implicit measure, which was found to be reliable, orthogonal to 2 self-report instruments, and predictive of external criteria. This study also examined discrepancies between scores on self-report and implicit measures, and has implications for their significance. The possibility that discrepancies themselves are pathological was not supported, although discrepancies were associated with particular personality profiles. Finally, this study offered additional evidence for the relation between dependency and depressive symptomatology and identified implicit dependency as contributing unique variance in predicting past major depression.

  5. An Investigation on the Role of Personality Style Vulnerability, Spouse Violence, and Coping Responses in Prediction of Post Partum Depression

    Directory of Open Access Journals (Sweden)

    حمیده قاسمی

    2015-12-01

    Full Text Available This study aims to examine the role of the vulnerability of personality style, spouse violence and coping responses in prediction of post-partum depression. A sample of 140 pregnant women were recruited. Data collection included two phases. In third trimester of pregnancy, demographic information, vulnerable personality style, spouse violence and coping responses were collected. The second phase was carried out after 2 weeks to 6 months after parturition that the post-partum depression questionnaire was completed. The results demonstrated that 49% of post-partum depression variances can be shown by vulnerability of personality style, spouse violence and coping responses. It seems that one of the most important factors for depression after parturition is vulnerability of personality style. Women with this personality style perceive higher levels of stress and use maladaptive coping responses. So they are more disposed to post-partum depression.

  6. Prediction of Parkinson's disease subsequent to severe depression: a ten-year follow-up study.

    Science.gov (United States)

    Walter, Uwe; Heilmann, Robert; Kaulitz, Lara; Just, Tino; Krause, Bernd Joachim; Benecke, Reiner; Höppner, Jacqueline

    2015-06-01

    Major depressive disorder (MDD) has been associated with an increased risk of subsequent Parkinson's disease (PD) in case-control and cohort studies. However, depression alone is unlikely to be a useful marker of prodromal PD due to its low specificity. In this longitudinal observational study, we assessed whether the presence of other potential markers of prodromal PD predicts the subsequent development of PD in MDD patients. Of 57 patients with severe MDD but no diagnosis of PD who underwent a structured interview, olfactory and motor investigation and transcranial sonography at baseline, 46 (36 women; mean age 54.9 ± 11.7 years) could be followed for up to 11 (median, 10) years. Three patients (2 women; age 64, 65 and 70 years) developed definite PD after 1, 7, and 9 years, respectively. The combined finding of mild asymmetric motor slowing, idiopathic hyposmia, and substantia nigra hyperechogenicity predicted subsequent PD in all patients who could be followed for longer than 1 year. Out of the whole study cohort, only the subjects with subsequent PD presented with the triad of asymmetric motor slowing, idiopathic hyposmia, and substantia nigra hyperechogenicity in combination with at least two out of four reportable risk factors (family history of PD, current non-smoker, non-coffee drinker, constipation) at baseline investigation. Post-hoc analysis revealed that additional rating of eye and eye-lid motor abnormalities might further improve the prediction of PD in larger cohorts. Findings of this pilot-study suggest that MDD patients at risk of subsequent PD can be identified using an inexpensive non-invasive diagnostic battery.

  7. Neural markers of attention to aversive pictures predict response to cognitive behavioral therapy in anxiety and depression.

    Science.gov (United States)

    Stange, Jonathan P; MacNamara, Annmarie; Barnas, Olga; Kennedy, Amy E; Hajcak, Greg; Phan, K Luan; Klumpp, Heide

    2017-02-01

    Excessive attention toward aversive information may be a core mechanism underlying emotional disorders, but little is known about whether this is predictive of response to treatments. We evaluated whether enhanced attention toward aversive stimuli, as indexed by an event-related potential component, the late positive potential (LPP), would predict response to cognitive behavioral therapy (CBT) in patients with social anxiety disorder and/or major depressive disorder. Thirty-two patients receiving 12 weeks of CBT responded to briefly-presented pairs of aversive and neutral pictures that served as targets or distracters while electroencephaolography was recorded. Patients with larger pre-treatment LPPs to aversive relative to neutral distracters (when targets were aversive) were more likely to respond to CBT, and demonstrated larger reductions in symptoms of depression and anxiety following treatment. Increased attention toward irrelevant aversive stimuli may signal attenuated top-down control, so treatments like CBT that improve this control could be beneficial for these individuals. Copyright © 2016 Elsevier B.V. All rights reserved.

  8. The Impact of the Physical Environment on Depressive Symptoms of Older Residents Living in Care Homes: A Mixed Methods Study.

    Science.gov (United States)

    Potter, Rachel; Sheehan, Bart; Cain, Rebecca; Griffin, James; Jennings, Paul A

    2018-05-08

    Forty percent of residents living in care homes in the United Kingdom have significant depressive symptoms. Care homes can appear to be depressing places, but whether the physical environment of homes directly affects depression in care home residents is unknown. This study explores the relationship between the physical environment and depressive symptoms of older people living in care homes. In a prospective cohort study the physical environment of 50 care homes were measured using the Sheffield Care Environment Assessment Matrix (SCEAM) and depressive symptoms of 510 residents measured using the Geriatric Depression Scale (GDS-15). The study was supplemented with semi-structured interviews with residents living in the care homes. Quantitative data were analyzed using multi-level modeling, and qualitative data analyzed using a thematic framework approach. The overall physical environment of care homes (overall SCEAM score) did not predict depressive symptoms. Controlling for dependency, social engagement, and home type, having access to outdoor space was the only environmental variable to significantly predict depressive symptoms. Residents interviewed reported that access to outdoor space was restricted in many ways: locked doors, uneven foot paths, steep steps, and needing permission or assistance to go outside. We provide new evidence to suggest that access to outdoor space predicts depressive symptoms in older people living in care home. Interventions aimed at increasing access to outdoor spaces could positively affect depressive symptoms in older people.

  9. Pathways between self-esteem and depression in couples.

    Science.gov (United States)

    Johnson, Matthew D; Galambos, Nancy L; Finn, Christine; Neyer, Franz J; Horne, Rebecca M

    2017-04-01

    Guided by concepts from a relational developmental perspective, this study examined intra- and interpersonal associations between self-esteem and depressive symptoms in a sample of 1,407 couples surveyed annually across 6 years in the Panel Analysis of Intimate Relations and Family Dynamics (pairfam) study. Autoregressive cross-lagged model results demonstrated that self-esteem predicted future depressive symptoms for male partners at all times, replicating the vulnerability model for men (low self-esteem is a risk factor for future depression). Additionally, a cross-partner association emerged between symptoms of depression: Higher depressive symptoms in one partner were associated with higher levels of depression in the other partner one year later. Finally, supportive dyadic coping, the support that partners reported providing to one another in times of stress, was tested as a potential interpersonal mediator of pathways between self-esteem and depression. Female partners' higher initial levels of self-esteem predicted male partners' subsequent reports of increased supportive dyadic coping, which, in turn, predicted higher self-esteem and fewer symptoms of depression among female partners in the future. Male partners' initially higher symptoms of depression predicted less frequent supportive dyadic coping subsequently reported by female partners, which was associated with increased feelings of depression in the future. Couple relations represent an important contextual factor that may be implicated in the developmental pathways connecting self-esteem and symptoms of depression. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  10. the impact of personality on depression among university students in Taiwan.

    Science.gov (United States)

    Chang, Shu-Man; Law, Daniel W; Chang, Her-Kun

    2011-01-01

    Depression in Taiwanese university students is a significant problem in terms of life and financial costs. The purpose of this study was to examine the impact of four selected personality traits, namely interpersonal problems, ideas of being persecuted, social students in introversion, and self depreciation, on the inclination to be depressed among students in Taiwanese university. A self-report survey was administered to students at a Taiwanese university and consisted of three parts: demographics, the Chinese version of the Basic Personality Inventory (BPI), and the Taiwanese Depression Questionnaire. The level of depression among students was assessed, and the relationships among the various variables were explored using analysis of variance (ANOVA) and regression. Altogether, 255 students successfully completed the survey. Overall, 37.62% of students were suffering from depression, including 4.7% who indicated that they were severely depressed, 18.30% who were moderately depressed, and 14% who were mildly depressed. In a multiple-regression model, ideas of being persecuted and self depreciation were both significant when predicting an inclination to be depressed. Depression is a problem for many university students in Taiwan. Understanding which personality traits are related to depression in Taiwanese students is important for student affair administrators and medical professionals and will help them to prevent and treat this debilitating illness.

  11. The dopamine D4 receptor gene, birth weight, maternal depression, maternal attention, and the prediction of disorganized attachment at 36 months of age: A prospective gene×environment analysis.

    Science.gov (United States)

    Graffi, Justin; Moss, Ellen; Jolicoeur-Martineau, Alexia; Moss, Gal; Lecompte, Vanessa; Pascuzzo, Katherine; Babineau, Vanessa; Gordon-Green, Cathryn; Mileva-Seitz, Viara R; Minde, Klaus; Sassi, Roberto; Steiner, Meir; Kennedy, James L; Gaudreau, Helene; Levitan, Robert; Meaney, Michael J; Wazana, Ashley

    2018-02-01

    Efforts to understand the developmental pathways for disorganized attachment reflect the importance of disorganized attachment on the prediction of future psychopathology. The inconsistent findings on the prediction of disorganized attachment from the dopamine D4 receptor (DRD4) gene, birth weight, and maternal depression as well as the evidence supporting the contribution of early maternal care, suggest the importance of exploring a gene by environment model. Our sample is from the Maternal Adversity, Vulnerability, and Neurodevelopment project; consisting of 655 mother-child dyads. Birth weight was cross-referenced with normative data to calculate birth weight percentile. Infant DRD4 genotype was obtained with buccal swabs and categorized according to the presence of the 7-repeat allele. Maternal depression was assessed with the Center for Epidemiologic Studies Depression Scale at the prenatal, 6-, 12-, and 24-month assessments. Maternal attention was measured at 6-months using a videotaped session of a 20-min non-feeding interaction. Attachment was assessed at 36-months using the Strange Situation Procedure. The presence of the DRD4 7-repeat allele was associated with less disorganized attachment, β=-1.11, OR=0.33, p=0.0008. Maternal looking away frequency showed significant interactions with maternal depression at the prenatal assessment, β=0.003, OR=1.003, p=0.023, and at 24 months, β=0.004, OR=1.004, p=0.021, as at both time points, women suffering from depression and with frequent looking away behavior had an increased probability of disorganized attachment in their child, while those with less looking away behavior had a decreased probability of disorganized attachment in their child at 36 months. Our models support the contribution of biological and multiple environmental factors in the complex prediction of disorganized attachment at 36 months. Copyright © 2017 Elsevier Inc. All rights reserved.

  12. Cost of depression in Europe.

    Science.gov (United States)

    Sobocki, Patrik; Jönsson, Bengt; Angst, Jules; Rehnberg, Clas

    2006-06-01

    Depression is one of the most disabling diseases, and causes a significant burden both to the individual and to society. WHO data suggests that depression causes 6% of the burden of all diseases in Europe in terms of disability adjusted life years (DALYs). Yet, the knowledge of the economic impact of depression has been relatively little researched in Europe. The present study aims at estimating the total cost of depression in Europe based on published epidemiologic and economic evidence. A model was developed to combine epidemiological and economic data on depression in Europe to estimate the cost. The model was populated with data collected from extensive literature reviews of the epidemiology and economic burden of depression in Europe. The cost data was calculated as annual cost per patient, and epidemiologic data was reported as 12-month prevalence estimates. National and international statistics for the model were retrieved from the OECD and Eurostat databases. The aggregated annual cost estimates were presented in Euro for 2004. In 28 countries with a population of 466 million, at least 21 million were affected by depression. The total annual cost of depression in Europe was estimated at Euro 118 billion in 2004, which corresponds to a cost of Euro 253 per inhabitant. Direct costs alone totalled dollar 42 billion, comprised of outpatient care (Euro 22 billion), drug cost (Euro 9 billion) and hospitalization (Euro 10 billion). Indirect costs due to morbidity and mortality were estimated at Euro 76 billion. This makes depression the most costly brain disorder in Europe, accounting for 33% of the total cost. The cost of depression corresponds to 1% of the total economy of Europe (GDP). Our cost results are in good agreement with previous research findings. The cost estimates in the present study are based on model simulations for countries where no data was available. The predictability of our model is limited to the accuracy of the input data employed. As

  13. Suicide attempts among depressed inpatients with depressive disorder in a Malaysian sample. Psychosocial and clinical risk factors.

    Science.gov (United States)

    Chan, L F; Maniam, T; Shamsul, A S

    2011-01-01

    Depressed inpatients constitute a high-risk population for suicide attempts. To describe the interactions of clinical and psychosocial risk factors influencing suicide attempts among a Malaysian sample of depressed inpatients. Seventy-five subjects were diagnosed with a depressive disorder according to the Structured Clinical Interview for DSM-IV Axis I Disorders-Clinical Version (SCID-CV). Data on suicide attempts, suicidal ideation (Scale for Suicidal Ideation, SSI), depression severity (Beck's Depression Inventory, BDI), recent life-event changes (Social Readjustment Rating Scale, SRRS), sociodemographic and other relevant clinical factors were collected. A third of the subjects presented after a current suicide attempt. Significant factors for a current suicide attempt were race, religion, recent life-event changes, suicidal ideation, and alcohol use disorder. Independent predictive risk factors for a current suicide attempt were Chinese race, recent marital separation, major mortgage or loans, and being newly diagnosed with depression. Any recent change in personal habits was shown to be a protective factor against current suicide attempt. Age and gender were nonsignificant factors. The findings are generally consistent with existing studies and highlight the role of psychosocial risk factors.

  14. The Myocardial Perfusion Scintigraphy in Predicting Risk for Coronary Artery Disease in Patients with Anxiety and Depression Symptoms

    Directory of Open Access Journals (Sweden)

    Billur Çalışkan

    2016-06-01

    Full Text Available INTRODUCTION: An association between psychological factors and cardiovascular disease, has long been suspected. However it is not clear whether chest pain is caused by emotional distress or whether coronary spasms are caused by the onset of coronary artery disease (CAD. We aimed to predict the risk for CAD in patients referred to myocardial perfusion imaging (MPI with chest pain using depression, stress, and anxiety symptoms. METHODS: The emotional status of all patients was evaluated using the Hospital Anxiety and Depression Scale (HADS-A and HADS-D, the State and Trait Anxiety Inventory (STAI-1 and STAI-2, the Perceived Stress Scale (PSS, and the Anxiety Sensitivity Index-3 (ASI. Myocardial perfusion was measured using a 17-segment model and 5-point scoring system (0: normal perfusion; 4: no perfusion. RESULTS: MPI revealed reversible perfusion defects in 24 of 141 patients and no perfusion defects in 117 patients. The STAI-2 and HADS-A and HADS-D scores were significantly higher in patients with myocardial ischemia than in those without (STAI-2: 50.8 ± 7.5 vs. 46.3 ± 7.1, respectively; p = 0.008; HADS-A: 9.5 ± 3.9 vs. 7.8 ± 3.4, respectively; p = 0.033; HADS-D: 8.7 ± 3.0 vs. 7.3 ± 3.0, respectively; p = 0.05. Unadjusted correlation analysis showed that there was statistically significant correlation between reversible perfusion defects and anxiety scores (r=0.186, p= 0.029. DISCUSSION AND CONCLUSION: The patients with symptoms of depression and high-trait anxiety may be at higher risk of myocardial ischemia than patients without such symptoms. Thus, the emotional status of patients should be taken into consideration during clinical evaluation for CAD.

  15. COGNITION-CHILDHOOD MALTREATMENT INTERACTIONS IN THE PREDICTION OF ANTIDEPRESSANT OUTCOMES IN MAJOR DEPRESSIVE DISORDER PATIENTS: RESULTS FROM THE iSPOT-D TRIAL.

    Science.gov (United States)

    Miller, Shefali; McTeague, Lisa M; Gyurak, Anett; Patenaude, Brian; Williams, Leanne M; Grieve, Stuart M; Korgaonkar, Mayuresh S; Etkin, Amit

    2015-08-01

    Childhood maltreatment (CM) history has been associated with poor treatment response in major depressive disorder (MDD), but the mechanisms underlying this relationship remain opaque. Dysfunction in the neural circuits for executive cognition is a putative neurobiological consequence of CM that may contribute importantly to adverse clinical outcomes. We used behavioral and neuroimaging measures of executive functioning to assess their contribution to the relationship between CM and antidepressant response in MDD patients. Ninety eight medication-free MDD outpatients participating in the International Study to Predict Optimized Treatment in Depression were assessed at baseline on behavioral neurocognitive measures and functional magnetic resonance imaging during tasks probing working memory (continuous performance task, CPT) and inhibition (Go/No-go). Seventy seven patients completed 8 weeks of antidepressant treatment. Baseline behavioral and neuroimaging measures were assessed in relation to CM (history of childhood physical, sexual, and/or emotional abuse) and posttreatment depression outcomes. Patients with maltreatment exhibited decreased modulation of right dorsolateral prefrontal cortex (DLPFC) activity during working memory updating on the CPT, and a corresponding impairment in CPT behavioral performance outside the scanner. No between-group differences were found for imaging or behavior on the Go/No-go test of inhibition. Greater DLPFC activity during CPT significantly predicted posttreatment symptom improvement in patients without maltreatment, whereas the relationship between DLPFC activity and symptom change was nonsignificant, and in the opposite direction, in patients with maltreatment. The effect of CM on prefrontal circuitry involved in executive function is a potential predictor of antidepressant outcomes. © 2015 Wiley Periodicals, Inc.

  16. Relationship of perceived stress with depression: complete mediation by perceived control and anxiety in Iran and the United States.

    Science.gov (United States)

    Ghorbani, Nima; Krauss, Stephen W; Watson, P J; Lebreton, Daniel

    2008-12-01

    This study sought to clarify the importance and cross-cultural relevance of associations between generalized perceived stress and depression. Also tested was the hypothesis that perceived stress would correlate more strongly with anxiety than with depression, whereas control would be more predictive of depression than of anxiety. Relationships between perceived stress, anxiety, depression, and perceived control were examined in samples of Iranian (n = 191) and American (n = 197) undergraduates. Correlations among these variables were generally similar across the two societies. Perceived stress did predict anxiety better than depression, but perceptions of control predicted depression significantly better than anxiety only in the United States. Best fitting structural equation models revealed that anxiety and perceived control completely accounted for the linkage between perceived stress and depression in both societies. An equally acceptable and more parsimonious model described perceived stress as a consequence rather than as an antecedent of anxiety and perceived control. Structural equation models were essentially identical across the two cultures except that internal control displayed a significant negative relationship with anxiety only in Iran. This result seemed to disconfirm any possible suggestion that a supposedly individualistic process like internal control could have no noteworthy role within a presumably more collectivistic Muslim society like Iran. Overall, these data documented the importance of anxiety and perceived control in explaining the perceived stress-depression relationship cross-culturally and therefore questioned the usefulness of perceived stress in predicting depression. Whether this understanding of the stress-depression relationship deserves general acceptance will require additional studies that measure the frequency of stressful life events and that utilize a longitudinal design.

  17. A diagnosis of bipolar spectrum disorder predicts diagnostic conversion from unipolar depression to bipolar disorder: a 5-year retrospective study.

    Science.gov (United States)

    Woo, Young Sup; Shim, In Hee; Wang, Hee-Ryung; Song, Hoo Rim; Jun, Tae-Youn; Bahk, Won-Myong

    2015-03-15

    The major aims of this study were to identify factors that may predict the diagnostic conversion from major depressive disorder (MDD) to bipolar disorder (BP) and to evaluate the predictive performance of the bipolar spectrum disorder (BPSD) diagnostic criteria. The medical records of 250 patients with a diagnosis of MDD for at least 5 years were retrospectively reviewed for this study. The diagnostic conversion from MDD to BP was observed in 18.4% of 250 MDD patients, and the diagnostic criteria for BPSD predicted this conversion with high sensitivity (0.870) and specificity (0.917). A family history of BP, antidepressant-induced mania/hypomania, brief major depressive episodes, early age of onset, antidepressant wear-off, and antidepressant resistance were also independent predictors of this conversion. This study was conducted using a retrospective design and did not include structured diagnostic interviews. The diagnostic criteria for BPSD were highly predictive of the conversion from MDD to BP, and conversion was associated with several clinical features of BPSD. Thus, the BPSD diagnostic criteria may be useful for the prediction of bipolar diathesis in MDD patients. Copyright © 2014 Elsevier B.V. All rights reserved.

  18. Organic-rich shale lithofacies geophysical prediction: A case study in the fifth organic-matter-rich interval of Paleogene Hetaoyuan Formation, Biyang Depression

    Science.gov (United States)

    Fei, S.; Xinong, X.

    2017-12-01

    The fifth organic-matter-rich interval (ORI 5) in the He-third Member of the Paleogene Hetaoyuan Formation is believed to be the main exploration target for shale oil in Biyang Depression, eastern China. An important part of successful explorating and producing shale oil is to identify and predict organic-rich shale lithofacies with different reservoir capacities and rock geomechanical properties, which are related to organic matter content and mineral components. In this study, shale lithofacies are defined by core analysis data, well-logging and seismic data, and the spatial-temporal distribution of various lithologies are predicted qualitatively by seismic attribute technology and quantitatively by geostatistical inversion analysis, and the prediction results are confirmed by the logging data and geological background. ORI 5 is present in lacustrine expanding system tract and can be further divided into four parasequence sets based on the analysis of conventional logs, TOC content and wavelet transform. Calcareous shale, dolomitic shale, argillaceous shale, silty shale and muddy siltstone are defined within ORI 5, and can be separated and predicted in regional-scale by root mean square amplitude (RMS) analysis and wave impedance. The results indicate that in the early expansion system tract, dolomitic shale and calcareous shale widely developed in the study area, and argillaceous shale, silty shale, and muddy siltstone only developed in periphery of deep depression. With the lake level rising, argillaceous shale and calcareous shale are well developed, and argillaceous shale interbeded with silty shale or muddy siltstone developed in deep or semi-deep lake. In the late expansion system tract, argillaceous shale is widely deposited in the deepest depression, calcareous shale presented band distribution in the east of the depression. Actual test results indicate that these methods are feasible to predict the spatial distribution of shale lithofacies.

  19. Structural Characteristics of Paleozoic and Geological Significance of Oil and Gas of Dongpu Depression

    Institute of Scientific and Technical Information of China (English)

    杨世刚

    2003-01-01

    The Dongpu depression has experienced a complicated evolution of structure since Mesozoic. The Paleozoic carbonate rock has been strongly reformed and the buried hills with different characteristics of structure are developed in the depression. There exist lots of groups of fault structures with strikes of NNE(or NE),NW, near NS and EW etc., of which the faults with strikes of NNE and NW play an important controlling role on present-day structural framework of the depression. The faults with near NS-striking and EW-striking deeply affect the establishment of structural framework of basement of the depression. Although most of the fractures are filled by calcite and other minerals, under the action of later structural stress, the earlier fractures could change their features into tensional ones. Therefore, much attention should be paid to the exploration and exploitation of Paleozoic oil and gas in Dongpu depression.

  20. Relationship Between Postpartum Depression and Psychological and Biological Variables in the Initial Postpartum Period.

    Science.gov (United States)

    Marín-Morales, Dolores; Toro-Molina, Susana; Peñacoba-Puente, Cecilia; Losa-Iglesias, Marta; Carmona-Monge, Francisco Javier

    2018-06-01

    Objectives The aims of this study were to evaluate the predictive relationship between psychological symptomatology 24 h postpartum and depression 4 months postpartum, and analyze the relationship between estradiol and postpartum mood. Methods Two hundred women participated in an assessment 24 h postpartum and gave a blood sample for estradiol analysis. One hundred eleven of these women completed the second assessment 4 months postpartum. The Beck Depression Inventory II and the Scale of State-Trait Anxiety were used to assess psychological symptoms. Results At 24 h postpartum, symptoms of depression, trait anxiety, and state anxiety were all significantly correlated with each other. Depression at 24 h postpartum was the only significant independent predictor of depression at 4 months postpartum, explaining 28.7% of the variance. No statistically significant relationship was found between levels of estradiol and mood. Symptoms of depression immediately postpartum thus appear to be a predictor of postpartum depression. Conclusions for Practice These results suggest that early postpartum psychological evaluation of the mother, and intervention as warranted, might prevent or lessen postpartum depression.

  1. Concordant Patterns of Brain Structure in Mothers with Recurrent Depression and Their Never-Depressed Daughters.

    Science.gov (United States)

    Foland-Ross, Lara C; Behzadian, Negin; LeMoult, Joelle; Gotlib, Ian H

    2016-01-01

    A growing body of research has demonstrated that having a mother with a history of major depressive disorder (MDD) is one of the strongest predictors of depression in adolescent offspring. Few studies, however, have assessed neural markers of this increased risk for depression, or examined whether risk-related anomalies in adolescents at maternal risk for depression are related to neural abnormalities in their depressed mothers. We addressed these questions by examining concordance in brain structure in two groups of participants: mothers with a history of depression and their never-depressed daughters, and never-depressed mothers and their never-depressed daughters. We scanned mothers with (remitted; RMD) and without (control; CTL) a history of recurrent episodes of depression and their never-depressed daughters, computed cortical gray matter thickness, and tested whether mothers' thickness predicted daughters' thickness. Both RMD mothers and their high-risk daughters exhibited focal areas of thinner cortical gray matter compared with their CTL/low-risk counterparts. Importantly, the extent of thickness anomalies in RMD mothers predicted analogous abnormalities in their daughters; this pattern was not present in CTL/low-risk dyads. We identified neuroanatomical risk factors that may underlie the intergenerational transmission of risk for MDD. Our findings suggest that there is concordance in brain structure in dyads that is affected by maternal depression, and that the location, direction, and extent of neural anomalies in high-risk offspring mirror those of their recurrent depressed mothers. © 2016 S. Karger AG, Basel.

  2. Predictors of Positive Outcomes in Offspring of Depressed Parents and Non-depressed Parents Across 20 Years

    Science.gov (United States)

    Verdeli, Helen; Wickramaratne, Priya; Warner, Virginia; Mancini, Anthony; Weissman, Myrna

    2014-01-01

    Understanding differences in factors leading to positive outcomes in high-risk and low-risk offspring has important implications for preventive interventions. We identified variables predicting positive outcomes in a cohort of 235 offspring from 76 families in which one, both, or neither parent had major depressive disorder. Positive outcomes were termed resilient in offspring of depressed parents, and competent in offspring of non-depressed parents, and defined by two separate criteria: absence of psychiatric diagnosis and consistently high functioning at 2, 10, and 20 years follow-up. In offspring of depressed parents, easier temperament and higher self-esteem were associated with greater odds of resilient outcome defined by absence of diagnosis. Lower maternal overprotection, greater offspring self-esteem, and higher IQ were associated with greater odds of resilient outcome defined by consistently high functioning. Multivariate analysis indicated that resilient outcome defined by absence of diagnosis was best predicted by offspring self-esteem; resilient outcome defined by functioning was best predicted by maternal overprotection and self-esteem. Among offspring of non-depressed parents, greater family cohesion, easier temperament and higher self-esteem were associated with greater odds of offspring competent outcome defined by absence of diagnosis. Higher maternal affection and greater offspring self-esteem were associated with greater odds of competent outcome, defined by consistently high functioning. Multivariate analysis for each criterion indicated that competent outcome was best predicted by offspring self-esteem. As the most robust predictor of positive outcomes in offspring of depressed and non-depressed parents, self-esteem is an important target for youth preventive interventions. PMID:25374449

  3. Application of Fracture Distribution Prediction Model in Xihu Depression of East China Sea

    Science.gov (United States)

    Yan, Weifeng; Duan, Feifei; Zhang, Le; Li, Ming

    2018-02-01

    There are different responses on each of logging data with the changes of formation characteristics and outliers caused by the existence of fractures. For this reason, the development of fractures in formation can be characterized by the fine analysis of logging curves. The well logs such as resistivity, sonic transit time, density, neutron porosity and gamma ray, which are classified as conventional well logs, are more sensitive to formation fractures. In view of traditional fracture prediction model, using the simple weighted average of different logging data to calculate the comprehensive fracture index, are more susceptible to subjective factors and exist a large deviation, a statistical method is introduced accordingly. Combining with responses of conventional logging data on the development of formation fracture, a prediction model based on membership function is established, and its essence is to analyse logging data with fuzzy mathematics theory. The fracture prediction results in a well formation in NX block of Xihu depression through two models are compared with that of imaging logging, which shows that the accuracy of fracture prediction model based on membership function is better than that of traditional model. Furthermore, the prediction results are highly consistent with imaging logs and can reflect the development of cracks much better. It can provide a reference for engineering practice.

  4. A model for predicting depression in victims of rape.

    Science.gov (United States)

    Regehr, C; Regehr, G; Bradford, J

    1998-01-01

    This article proposes a model for understanding the factors contributing to long-standing depression in women who have been raped. A path analysis of data obtained from 71 women who had been raped revealed that women with generalized beliefs that they could not control events in their lives were more likely to attribute responsibility for their rape to permanent intrapsychic factors and were more likely to be depressed. Women who perceived that they had higher levels of internal control tended to have higher levels of education, were more likely to be employed, and were less likely to be depressed more than one year after having been raped. Childhood sexual abuse was not associated with internal control or attributions of causality or depression in this analysis. Implications for the determination of prognosis and treatment recommendations in civil litigation assessments are discussed.

  5. Depression and blood pressure in high-risk children and adolescents: an investigation using two longitudinal cohorts

    Science.gov (United States)

    Hammerton, Gemma; Harold, Gordon; Thapar, Anita; Thapar, Ajay

    2013-01-01

    Objective To examine the relationship between blood pressure and depressive disorder in children and adolescents at high risk for depression. Design Multisample longitudinal design including a prospective longitudinal three-wave high-risk study of offspring of parents with recurrent depression and an on-going birth cohort for replication. Setting Community-based studies. Participants High-risk sample includes 281 families where children were aged 9–17 years at baseline and 10–19 years at the final data point. Replication cohort includes 4830 families where children were aged 11–14 years at baseline and 14–17 years at follow-up and a high-risk subsample of 612 offspring with mothers that had reported recurrent depression. Main outcome measures The new-onset of Diagnostic and Statistical Manual of Mental Disorder, fourth edition defined depressive disorder in the offspring using established research diagnostic assessments—the Child and Adolescent Psychiatric Assessment in the high-risk sample and the Development and Wellbeing Assessment in the replication sample. Results Blood pressure was standardised for age and gender to create SD scores and child's weight was statistically controlled in all analyses. In the high-risk sample, lower systolic blood pressure at wave 1 significantly predicted new-onset depressive disorder in children (OR=0.65, 95% CI 0.44 to 0.96; p=0.029) but diastolic blood pressure did not. Depressive disorder at wave 1 did not predict systolic blood pressure at wave 3. A significant association between lower systolic blood pressure and future depression was also found in the replication cohort in the second subset of high-risk children whose mothers had experienced recurrent depression in the past. Conclusions Lower systolic blood pressure predicts new-onset depressive disorder in the offspring of parents with depression. Further studies are needed to investigate how this association arises. PMID:24071459

  6. The Interactive Effect of Diabetes Family Conflict and Depression on Insulin Bolusing Behaviors for Youth.

    Science.gov (United States)

    Maliszewski, Genevieve; Patton, Susana R; Midyett, L Kurt; Clements, Mark A

    2017-05-01

    Adherence to type 1 diabetes management declines as children enter adolescence. For youth, psychosocial variables including mood and interpersonal relationships play a large role in diabetes maintenance. The current study assessed the unique and interactive roles diabetes family conflict and depression have on insulin bolusing behaviors for youth ages 10-16 years. Ninety-one youth-parent dyads completed a survey assessing family conflict and depression. Mean daily blood glucose levels, mealtime insulin bolus scores ( BOLUS), and glycated hemoglobin (HbA1c) were collected from the medical record as outcome variables. Parent-reported diabetes-related family conflict and youths' endorsed depression both significantly predicted insulin bolusing behavior, R 2 = .13, F(2, 88) = 6.66, P family conflict and youth depression played a significant role in youths' bolusing behaviors, above and beyond that which was predicted by conflict and depression separately, R 2 = .18, F change (1, 87) = 4.63, P family conflict, while there was no change in BOLUS scores among depressed youth living in families reporting less conflict. Findings underscore the importance of screening for depression and family conflict in youth experiencing or at risk for poor adherence to mealtime insulin and higher HbA1c levels.

  7. A depressive endophenotype of mild cognitive impairment and Alzheimer's disease.

    Directory of Open Access Journals (Sweden)

    Leigh A Johnson

    Full Text Available Alzheimer's disease (AD is a devastating public health problem that affects over 5.4 million Americans. Depression increases the risk of Mild Cognitive Impairment (MCI and AD. By understanding the influence of depression on cognition, the potential exists to identify subgroups of depressed elders at greater risk for cognitive decline and AD. The current study sought to: 1 clinically identify a sub group of geriatric patients who suffer from depression related cognitive impairment; 2 cross validate this depressive endophenotype of MCI/AD in an independent cohort.Data was analyzed from 519 participants of Project FRONTIER. Depression was assessed with the GDS30 and cognition was assessed using the EXIT 25 and RBANS. Five GDS items were used to create the Depressive endophenotype of MCI and AD (DepE. DepE was significantly negatively related to RBANS index scores of Immediate Memory (B=-2.22, SE=.37, p<0.001, visuospatial skills (B=-1.11, SE=0.26, p<0.001, Language (B=-1.03, SE=0.21, p<0.001, Attention (B=-2.56, SE=0.49, p<0.001, and Delayed Memory (B=-1.54, SE = 037, p<0.001, and higher DepE scores were related to poorer executive functioning (EXIT25; B=0.65, SE=0.19, p=0.001. DepE scores significantly increased risk for MCI diagnosis (odds ratio [OR] = 2.04; 95% CI=1.54-2.69. Data from 235 participants in the TARCC (Texas Alzheimer's Research & Care Consortium were analyzed for cross-validation of findings in an independent cohort. The DepE was significantly related to poorer scores on all measures, and a significantly predicted of cognitive change over 12- and 24-months.The current findings suggest that a depressive endophenotype of MCI and AD exists and can be clinically identified using the GDS-30. Higher scores increased risk for MCI and was cross-validated by predicting AD in the TARCC. A key purpose for the search for distinct subgroups of individuals at risk for AD and MCI is to identify novel treatment and preventative opportunities.

  8. Male depression in females?

    Science.gov (United States)

    Möller-Leimkühler, Anne Maria; Yücel, Mete

    2010-02-01

    Scientific evidence for a male-typed depression ("male depression") is still limited, but mainly supports this concept with respect to single externalizing symptoms or symptom clusters. In particular, studies on non-clinical populations including males and females are lacking. The present study aims at assessing general well-being, the risk and the symptoms of male depression dependent on biological sex and gender-role orientation on instrumental (masculine) and expressive (feminine) personality traits in an unselected community sample of males and females. Students (518 males, 500 females) of the Ludwig-Maximilians-University of Munich, Germany, were asked to participate in a "stress study" and complete the following self-report questionnaires: the WHO-5 Well-being Index [Bech, P., 1998. Quality of Life in the Psychiatric Patient. Mosby-Wolfe, London], the Gotland Scale for Male Depression [Walinder, J., Rutz, W., 2001. Male depression and suicide. International Clinical Psychopharmacology 16 (suppl 2), 21-24] and the German Extended Personal Attribute Questionnaire [Runge, T.E., Frey, D., Gollwitzer, P.M., et al., 1981. Masculine (instrumental) and feminine (expressive) traits. A comparison between students in the United States and West Germany. Journal of Cross-Cultural Psychology 12, 142-162]. General well-being of the students was significantly lower compared to population norms. Contrary to expectations, female students had a greater risk of male depression than male students (28.9% vs. 22.4%; p<0.05). Overall, prototypic depressive symptoms as well as externalizing symptoms were more pronounced in females. In the subgroup of those at risk for male depression, biological sex and kind of symptoms were unrelated. Principal component analyses revealed a similar symptom structure for males and females. Low scores on masculinity/instrumentality significantly predicted higher risk of male depression, independent of biological sex. The study sample is not

  9. Mindfulness significantly reduces self-reported levels of anxiety and depression

    DEFF Research Database (Denmark)

    Würtzen, Hanne; Dalton, Susanne Oksbjerg; Elsass, Peter

    2013-01-01

    INTRODUCTION: As the incidence of and survival from breast cancer continue to raise, interventions to reduce anxiety and depression before, during and after treatment are needed. Previous studies have reported positive effects of a structured 8-week group mindfulness-based stress reduction program...

  10. Two-year prospective study of major depressive disorder in HIV-infected men.

    Science.gov (United States)

    Atkinson, J Hampton; Heaton, Robert K; Patterson, Thomas L; Wolfson, Tanya; Deutsch, Reena; Brown, Stephen J; Summers, J; Sciolla, A; Gutierrez, R; Ellis, Ronald J; Abramson, Ian; Hesselink, John R; McCutchan, J Allen; Grant, Igor

    2008-06-01

    The risks and factors contributing to major depressive episodes in HIV infection remain unclear. This 2-year prospective study compared cumulative rates and predictors of a major depressive episode in HIV-infected (HIV+) men (N=297) and uninfected (HIV-) risk-group controls (N=90). By design participants at entry were without current major depression, substance dependence or major anxiety disorder. Standardized neuromedical, neuropsychological, neuroimaging, life events, and psychiatric assessments (Structured Clinical Interview for DSM III-R) were conducted semi-annually for those with AIDS, and annually for all others. Lifetime prevalence of major depression or other psychiatric disorder did not differ at baseline between HIV+ men and controls. On a two-year follow-up those with symptomatic HIV disease were significantly more likely to experience a major depressive episode than were asymptomatic HIV+ individuals and HIV-controls (pdepression. After baseline disease stage and medical variables associated with HIV infection were controlled, a lifetime history of major depression, or of lifetime psychiatric comorbidity (two or more psychiatric disorders), predicted subsequent major depressive episode (pdepressive episode. Research cohort of men examined before era of widespread use of advanced anti-HIV therapies. Symptomatic HIV disease, but not HIV infection itself, increases intermediate-term risk of major depression. Prior psychiatric history most strongly predicted future vulnerability.

  11. Depressive symptoms predict slow cognitive decline in mild dementia.

    NARCIS (Netherlands)

    Janzing, J.G.E.; Naarding, P.; Eling, P.A.T.M.

    2005-01-01

    Depression may be a prognostic marker of subsequent cognitive decline in patients with dementia. Earlier investigations did not find support for this hypothesis, but these considered mainly syndromal depression. In this prospective study, 32 subjects with mild dementia were followed up for 12

  12. Family functioning, resilience, and depression among North Korean refugees.

    Science.gov (United States)

    Nam, Boyoung; Kim, Jae Yop; DeVylder, Jordan E; Song, Ahyoung

    2016-11-30

    North Korean refugees in South Korea are at high risk of depression, but there are few studies exploring protective factors in this population. We hypothesized that family functioning (family adaptability and cohesion) and resilience would protect North Korean refugees from developing depressive symptoms. A subsample of 304 adult North Korean refugees drawn from the cross-sectional 2010 Nationwide Survey of Domestic Violence in South Korea was analyzed. Approximately 44% of respondents were identified as having depression, using scores on the Center for Epidemiological Studies Depression scale. In models capturing the full spectrum of depressive symptoms (continuous), family cohesion was significantly associated with depression, and the relationship was partially mediated by resilience. In models predicting clinical depression (dichotomous), resilience fully mediated the relationship between family cohesion and clinical depression. In contrast, family adaptability was not associated with depression or resilience in this sample. These findings suggest that assessing and enhancing family cohesion and resilience may be essential for professionals working with refugees, and that refugees without family support may be at particularly high risk for depression. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  13. A study of depression among Alexandria preparatory school adolescents.

    Science.gov (United States)

    Abou Nazel, M W; Fahmy, S I; Younis, I A; Seif el-Din, A G; Abdel Fatah, M; Mokhtar, S; Ayoub, A I

    1991-01-01

    Using a constructed Arabic version of Children Depression Inventory (CDI), screening of a stratified random sample of 1% (1561) of Alexandria Preparatory school adolescents was carried out. The prevalence of depressive scorers was 10.25% of total sample. A sub-sample of depressed scorers (111 pupils) were compared with controls (non-depressed scorers) matched on age and sex to study a variety of personal, familial, medical and scholastic ecological variables. Pupils neuroticism scorers were most predictive of depressive scorers where they explained 59.79% of the variance. Other ecological factors including peer and sibling relationships, introversive and lie scale scorers and scholastic performance explained an additional 14.87% of the variance. Using Beck Depression Inventory (BDI) and Mother-Father relationship check list, a sub-sample of depressed pupils' mothers were compared with controls of non-depressed pupils' mothers (42 mothers for each). Results indicated a strong positive correlation between pupils, CDI scores and their mothers BDI scores. On the other hand poor mother-father relationship was significantly associated with depressive scores of pupils. Findings, pointed to the need for reconsideration of school mental health program, since the presented medical and social services to depressed pupils were very poor.

  14. Prediction of near-term increases in suicidal ideation in recently depressed patients with bipolar II disorder using intensive longitudinal data.

    Science.gov (United States)

    Depp, Colin A; Thompson, Wesley K; Frank, Ellen; Swartz, Holly A

    2017-01-15

    There are substantial gaps in understanding near-term precursors of suicidal ideation in bipolar II disorder. We evaluated whether repeated patient-reported mood and energy ratings predicted subsequent near-term increases in suicide ideation. Secondary data were used from 86 depressed adults with bipolar II disorder enrolled in one of 3 clinical trials evaluating Interpersonal and Social Rhythm Therapy and/or pharmacotherapy as treatments for depression. Twenty weeks of daily mood and energy ratings and weekly Hamilton Depression Rating Scale (HDRS) were obtained. Penalized regression was used to model trajectories of daily mood and energy ratings in the 3 week window prior to HDRS Suicide Item ratings. Participants completed an average of 68.6 (sd=52) days of mood and energy ratings. Aggregated across the sample, 22% of the 1675 HDRS Suicide Item ratings were non-zero, indicating presence of at least some suicidal thoughts. A cross-validated model with longitudinal ratings of energy and depressed mood within the three weeks prior to HDRS ratings resulted in an AUC of 0.91 for HDRS Suicide item >2, accounting for twice the variation when compared to baseline HDRS ratings. Energy, both at low and high levels, was an earlier predictor than mood. Data derived from a heterogeneous treated sample may not generalize to naturalistic samples. Identified suicidal behavior was absent from the sample so it could not be predicted. Prediction models coupled with intensively gathered longitudinal data may shed light on the dynamic course of near-term risk factors for suicidal ideation in bipolar II disorder. Copyright © 2016 Elsevier B.V. All rights reserved.

  15. Predicting Suicidal Ideation in Adolescent Boys and Girls: The Role of Psychological Maturity, Personality Traits, Depression and Life Satisfaction.

    Science.gov (United States)

    Morales-Vives, Fabia; Dueñas, Jorge Manuel

    2018-04-10

    In recent years, suicide rates have increased in adolescents and the young population, so these age groups are considered as populations at risk. Considering that suicidal ideation is the first sign of possible future suicide behavior, the objective of this study is to determine the relative importance of psychological maturity, personality, depression and life satisfaction in predicting suicidal ideation in adolescents. Results show that depressive symptoms is the variable that best predicts suicidal ideation, but psychological maturity, life satisfaction and emotional stability are predictors as well (R2 = .51, p emotional stability has an indirect relationship with suicidal ideation, through its relationship with depressive symptoms, life satisfaction and identity. Two Multigroup Structural Equation Models were proposed to better understand the relationships between these variables for each sex. The results show that the fit of the model that includes the variable Self-reliance is better for boys than for girls (chi-square contributions of 8.175 for girls and 1.978 for boys) unlike the other model (chi-square contributions of 0.288 for girls and 1.650 for boys). These results suggest that the psychological maturity subscale Self-reliance play a role in suicidal ideation in males but not in females. Although there have been no previous studies on the role of psychological maturity as a predictor of suicidal phenomena, the current study suggests that it is a feature to be considered in the prediction of adolescent suicidal ideation.

  16. Quality of life in major depressive disorder: the role of pain and pain catastrophizing cognition.

    Science.gov (United States)

    Chung, Ka-Fai; Tso, Kwok-Chu; Yeung, Wing-Fai; Li, Wei-Hui

    2012-05-01

    Pain symptoms are frequent complaints in patients with major depressive disorder (MDD). Although it is known that pain intensity and pain-related cognition predict quality of life (QOL) in patients with chronic pain, limited studies have examined their roles in MDD. The study aimed to determine whether pain and pain catastrophizing were independent predictors of QOL in MDD after accounting for the impact of anxiety and depression. This is a prospective, naturalistic follow-up study. Ninety-one Chinese patients were enrolled during an acute episode of MDD, 82 of them were reassessed 3 months later using the same assessment on pain, anxiety, depression, and QOL. Pain intensity was evaluated using a verbal rating scale and a visual analog scale. Quality of life was assessed using the 36-item Short Form Health Survey. Pain-related cognition was assessed at baseline with the Pain Catastrophizing Scale. There was significant improvement in pain, anxiety, depression, and QOL from baseline to 3-month follow-up. Hierarchical regression analyses showed that pain intensity was significantly associated with QOL at baseline and 3 months. Pain complaint was more important than anxiety and depressive symptoms in predicting changes in both physical and psychosocial domains of QOL. After controlling for the severity of pain, anxiety, and depression, Pain Catastrophizing Scale score was independently associated with QOL in MDD. The study supports the specific role of pain and pain-related cognition in predicting QOL in depressed patients. Further studies targeting pain-related cognition for improving the outcome of MDD are necessary. Copyright © 2012 Elsevier Inc. All rights reserved.

  17. The protective effects of father involvement for infants of teen mothers with depressive symptoms.

    Science.gov (United States)

    Lewin, Amy; Mitchell, Stephanie J; Waters, Damian; Hodgkinson, Stacy; Southammakosane, Cathy; Gilmore, Jasmine

    2015-05-01

    The purpose of this study is to examine the role of father involvement on infant distress among children born to teen mothers, particularly those who are depressed. 119 teen mothers (questionnaires administered at baseline, before participation in the intervention or comparison conditions. 29 % of teen mothers screened positive for depression. Mothers reported that 78 % of fathers were engaged with their children, typically seeing them a few times per month, and 71 % took financial responsibility for their children. In a multiple linear regression, father responsibility predicted lower infant distress, maternal depression predicted higher infant distress, and there was a significant interaction in which father engagement buffered the effect of maternal depression on infant distress. Fathers may be a protective resource for children born to teen mothers, even as early as the first 6 months of life, potentially mitigating the heightened risk associated with maternal depression in the postpartum period.

  18. Depression, antidepressants, and bone mineral density in a population-based cohort.

    Science.gov (United States)

    Mezuk, Briana; Eaton, William W; Golden, Sherita Hill; Wand, Gary; Lee, Hochang Benjamin

    2008-12-01

    It is uncertain whether depression and antidepressant use are associated with decreased bone mineral density (BMD) and whether these relationships differ for men and women. The study used a case-cohort design within the Baltimore Epidemiologic Catchment Area Study, a population-based sample of adults that recently completed its 23-year follow-up. Depression was measured at four time points during the follow-up period by the Diagnostic Interview Schedule. Lower spine BMD was measured at the fourth wave by dual-energy x-ray absorptiometry. The association of BMD with lifetime history of depression and antidepressant medication use was studied using linear regression with bootstrap standard errors. A history of depression was associated with lower spine BMD after controlling for age, sex, race, calcium intake, alcohol use, smoking status, level of physical activity, percent body fat, and antidepressant medication use (-0.140 g/cm(2); p history of depression predicted decreased lumbar spine BMD in men and women, and antidepressant use predicted decreased BMD in women even after controlling for depression. The magnitude of the effect of depression on BMD was approximately equivalent to 1 standard deviation in BMD and was therefore clinically significant. Providers should be aware of the physiologic consequences of depression as well as the possible risks to bone strength associated with antidepressant use in older patients.

  19. Activated neuro-oxidative and neuro-nitrosative pathways at the end of term are associated with inflammation and physio-somatic and depression symptoms, while predicting outcome characteristics in mother and baby.

    Science.gov (United States)

    Roomruangwong, Chutima; Barbosa, Decio Sabbatini; Matsumoto, Andressa Keiko; Nogueira, André de Souza; Kanchanatawan, Buranee; Sirivichayakul, Sunee; Carvalho, André F; Duleu, Sebastien; Geffard, Michel; Moreira, Estefania Gastaldello; Maes, Michael

    2017-12-01

    To examine oxidative & nitrosative stress (O&NS) biomarkers at the end of term in relation to perinatal affective symptoms, neuro-immune biomarkers and pregnancy-related outcome variables. We measured plasma advanced oxidation protein products (AOPP), nitric oxide metabolites (NOx), total radical trapping antioxidant parameter (TRAP), -sulfhydryl (-SH), peroxides (LOOH) and paraoxonase (PON)1 activity in pregnant women with and without prenatal depression and non-pregnant controls. Pregnancy is accompanied by significantly increased AOPP and NOx, and lowered TRAP, -SH and LOOH. Increased O&NS and lowered LOOH and -SH levels are associated with prenatal depressive and physio-somatic symptoms (fatigue, pain, dyspepsia, gastro-intestinal symptoms). Increased AOPP and NOx are significantly associated with lowered -SH, TRAP and zinc, and with increased haptoglobin and C-reactive protein levels. Increased O&NS and lowered TRAP and PON 1 activity, at the end of term predict mother (e.g. hyperpigmentation, labor duration, caesarian section, cord length, breast milk flow) and baby (e.g. sleep and feeding problems) outcome characteristics. Pregnancy is accompanied by interrelated signs of O&NS, lowered antioxidant defenses and activated neuro-immune pathways. Increased O&NS at the end of term is associated with perinatal depressive and physio-somatic symptoms and may predict obstetric and behavioral complications in mother and baby. Copyright © 2017 Elsevier B.V. All rights reserved.

  20. Prediction of psychological functioning one year after the predictive test for Huntington's disease and impact of the test result on reproductive decision making.

    Science.gov (United States)

    Decruyenaere, M; Evers-Kiebooms, G; Boogaerts, A; Cassiman, J J; Cloostermans, T; Demyttenaere, K; Dom, R; Fryns, J P; Van den Berghe, H

    1996-01-01

    For people at risk for Huntington's disease, the anxiety and uncertainty about the future may be very burdensome and may be an obstacle to personal decision making about important life issues, for example, procreation. For some at risk persons, this situation is the reason for requesting predictive DNA testing. The aim of this paper is two-fold. First, we want to evaluate whether knowing one's carrier status reduces anxiety and uncertainty and whether it facilitates decision making about procreation. Second, we endeavour to identify pretest predictors of psychological adaptation one year after the predictive test (psychometric evaluation of general anxiety, depression level, and ego strength). The impact of the predictive test result was assessed in 53 subjects tested, using pre- and post-test psychometric measurement and self-report data of follow up interviews. Mean anxiety and depression levels were significantly decreased one year after a good test result; there was no significant change in the case of a bad test result. The mean personality profile, including ego strength, remained unchanged one year after the test. The study further shows that the test result had a definite impact on reproductive decision making. Stepwise multiple regression analyses were used to select the best predictors of the subject's post-test reactions. The results indicate that a careful evaluation of pretest ego strength, depression level, and coping strategies may be helpful in predicting post-test reactions, independently of the carrier status. Test result (carrier/ non-carrier), gender, and age did not significantly contribute to the prediction. About one third of the variance of post-test anxiety and depression level and more than half of the variance of ego strength was explained, implying that other psychological or social aspects should also be taken into account when predicting individual post-test reactions. PMID:8880572

  1. Relationship between obesity and the risk of clinically significant depression: Mendelian randomisation study.

    LENUS (Irish Health Repository)

    Hung, Chi-Fa

    2014-07-01

    Obesity has been shown to be associated with depression and it has been suggested that higher body mass index (BMI) increases the risk of depression and other common mental disorders. However, the causal relationship remains unclear and Mendelian randomisation, a form of instrumental variable analysis, has recently been employed to attempt to resolve this issue.

  2. Trauma, depression, and resilience of earthquake/tsunami/nuclear disaster survivors of Hirono, Fukushima, Japan.

    Science.gov (United States)

    Kukihara, Hiroko; Yamawaki, Niwako; Uchiyama, Kumi; Arai, Shoichi; Horikawa, Etsuo

    2014-07-01

    A mega-earthquake and tsunami struck the northeastern coast of Japan, and many survivors were forced to evacuate to temporary housing due to rising radiation levels. The aims of this study were to investigate the prevalence of symptoms of post-traumatic stress disorder (PTSD), depression, and poor general health among survivors, to test the predictive roles of resilience on mental and physical health, and to examine the predictive sociodemographic factors on resilience. Two hundred and forty-one evacuees (men/women: 116/125) from Hirono, Fukushima participated in the study. They were asked to complete the Connor-Davidson Resilience Scale, the Zung Self-Rating Depression Scale, the Impact of Events Scale-Revised, and a demographic questionnaire. Among all participants, 53.5% exhibited the clinically concerning symptoms of PTSD, and among them 33.2% indicated clinical PTSD symptoms. Additionally, 66.8% reported symptoms of depression, and among them 33.2% showed mildly depressive symptoms, while 19.1% and 14.5% demonstrated moderate and severe depressive symptoms, respectively. Resilience was a significant buffer for depression, PTSD, and general health. Additionally, employment status, eating/exercise habits, and drinking habits predicted resilience. The results indicated that depression and PTSD are prevalent among the survivors of massive earthquakes, tsunamis, and accidents from nuclear power plants. However, the results also showed that some survivors managed to endure the traumatic events relatively well, and resilience was a significant protective factor in dealing with such events. Therefore, it is crucial to assist survivors in improving their resilience by providing job opportunities and encouraging a healthy lifestyle. © 2014 The Authors. Psychiatry and Clinical Neurosciences © 2014 Japanese Society of Psychiatry and Neurology.

  3. Maternal Depression, Paternal Psychopathology, and Toddlers’ Behavior Problems

    Science.gov (United States)

    Dietz, Laura J.; Jennings, Kay Donahue; Kelley, Sue A.; Marshal, Michael

    2013-01-01

    This article examined the effects of maternal depression during the postpartum period (Time 1) on the later behavior problems of toddlers (Time 3) and tested if this relationship was moderated by paternal psychopathology during toddlers’ lives and/or or mediated by maternal parenting behavior observed during mother–child interaction (Time 2). Of the 101 mothers who participated in this longitudinal study with their toddlers, 51 had never experienced an episode of Major Depressive Disorder (MDD) and 50 had experienced an episode of MDD during the first 18 months of their toddlers’ lives. Maternal depression at Time 1 was significantly associated with toddlers’ externalizing and internalizing behavior problems only when paternal psychopathology was present. As predicted, maternal negativity at Time 2 was found to mediate the relationship between maternal depression at Time 1 and toddlers’ externalizing behavior problems at Time 3. PMID:19130357

  4. Antidepressant monotherapy in pre-bipolar depression; predictive value and inherent risk.

    Science.gov (United States)

    O'Donovan, Claire; Garnham, Julie S; Hajek, Tomas; Alda, Martin

    2008-04-01

    To identify specific treatment-emergent symptoms in response to antidepressant therapy in depression preceding bipolar disorder. Retrospective chart review of response to antidepressants in "pre-bipolar" depression, compared to a matched unipolar sample. Family history of completed suicide (p=0.0003) and bipolar disorder (p=0.004) were more common in the pre-bipolar subgroup. Earlier age of onset of diagnosed depression (p=0.005) as well as even earlier episodes of untreated retrospectively diagnosed major depression (p<0.0001) were associated with a future bipolar course. The pre-bipolar group was less likely to respond to antidepressant treatment (p=0.009). Treatment-emergent "mixed" symptoms (two or more symptoms of DSM IV mania, mood lability, irritability/rage with co-existing depression) and in particular, "serious symptoms" (treatment emergent or increased agitation, rage or suicidality) occurred more commonly in the bipolar group. The two variables that best accounted for the between-group differences in logistic regression, were early age at first symptoms of depression and treatment-emergent agitation. Family history of completed suicide and/or bipolar disorder, early onset of depressive symptoms as well as treatment-emergent "mixed" symptoms are common in depression preceding the diagnosis of bipolar disorder.

  5. The protective properties of Act-Belong-Commit indicators against incident depression, anxiety, and cognitive impairment among older Irish adults

    DEFF Research Database (Denmark)

    Santini, Ziggi Ivan; Koyanagi, Ai; Tyrovolas, Stefanos

    2017-01-01

    -Belong-Commit and incident depression, anxiety, and cognitive impairment at two-year follow-up. The adjusted model showed that each increase in the number of social/recreational activities (Act) inversely predicted the onset of depression, anxiety, and cognitive impairment. The same was the case for social network...... integration (Belong); that is, being well integrated into social networks was a significant protective factor against all mental health outcomes. Finally, frequency of participation in social/recreational activities (Commit) significantly and inversely predicted the onset of depression and anxiety, while...... two consecutive waves of the Irish Longitudinal Study on Ageing (TILDA) were analyzed. The analytical sample consisted of 6098 adults aged ≥ 50 years. Validated scales for depression, anxiety, and cognitive impairment were used. The number of social/recreational activities engaged in was used...

  6. Predicting the onset of major depressive disorder and dysthymia in older adults with subthreshold depression: a community based study

    NARCIS (Netherlands)

    Cuijpers, P.; Beekman, A.T.F.; Smit, H.F.E.; Deeg, D.J.H.

    2006-01-01

    Background: It is well-established that the incidence of major depressive disorder is increased in subjects with subthreshold depression. A new research area focuses on the possibilities of preventing the onset of major depressive disorders in subjects with subthreshold depression. An important

  7. Perceived social support interacts with prenatal depression to predict birth outcomes.

    Science.gov (United States)

    Nylen, Kimberly J; O'Hara, Michael W; Engeldinger, Jane

    2013-08-01

    Prenatal depression has been linked to adverse reproductive outcomes including preterm labor and delivery, and low birth weight. Social support also has been linked to birth outcomes, and may buffer infants from the adverse impact of maternal depression. In this prospective study, 235 pregnant women completed questionnaires about depression and social support. Clinical interviews were administered to assess for DSM-IV axis I disorders. Following delivery, birth outcomes were obtained from medical records. Babies of depressed mothers weighed less, were born earlier and had lower Apgar scores than babies of nondepressed mothers. Depressed women had smaller social support networks and were less satisfied with support from social networks. We found no direct associations between perceived social support and birth weight. However, depressed women who rated their partners as less supportive had babies who were born earlier and had lower Apgar scores than depressed mothers with higher perceived partner support. Women's perception of partner support appears to buffer infants of depressed mothers from potential adverse outcomes. These results are notable in light of the low-risk nature of our sample and point to the need for continued depression screening in pregnant women and a broader view of risk for adverse birth outcomes. The results also suggest a possible means of intervention that may ultimately lead to reductions in adverse birth outcomes.

  8. Anorexia nervosa, depression and suicidal thoughts among Chinese adolescents: a national school-based cross-sectional study.

    Science.gov (United States)

    Lian, Qiguo; Zuo, Xiayun; Mao, Yanyan; Luo, Shan; Zhang, Shucheng; Tu, Xiaowen; Lou, Chaohua; Zhou, Weijin

    2017-04-04

    Although there is much literature on adolescent suicide, combined effects of depression and anorexia nervosa on suicide were rarely investigated. The aims of this study are to examine the association between anorexia nervosa and suicidal thoughts and explore the interaction between anorexia nervosa and depression. This is a cross-sectional study, in the study, a sample of 8,746 Chinese adolescents was selected by multistage stratified method in 2012/2013 from 20 middle schools in 7 provinces across China Mainland. Multilevel logistic model was introduced to explore association between anorexia nervosa and suicidal thoughts. And subgroup analyses were conducted on participants with or without depression. Multilevel logistic model revealed that demographic variables, including academic achievement, were not the predictive risk factors of suicidal thoughts. Those who suffered from worse severity of perceived anorexia nervosa were at increased risk of thinking about suicide. The interaction between depression and anorexia nervosa was significant, however, subgroup analyses showed that the associations were significant only among the adolescents without depression. Our results indicate that all levels of anorexia nervosa serve as predictable indicators of suicidal thoughts in Chinese adolescents, and the effects of anorexia nervosa are modified by depression status.

  9. Type-D personality but not depression predicts severity of anxiety in heart failure patients at 1-year follow-up

    DEFF Research Database (Denmark)

    Schiffer, Angélique A; Pedersen, Susanne S.; Broers, Herman

    2008-01-01

    Chronic heart failure (CHF) is a debilitating condition associated with poor outcome, including increased anxiety. However, anxiety and its determinants have not yet been studied systematically in CHF. We examined whether type-D personality and depressive symptoms would predict clinically signifi...

  10. Reciprocal relationship between fear of falling and depression in elderly Chinese primary care patients.

    Science.gov (United States)

    Chou, Kee-Lee; Chi, Iris

    2008-09-01

    The objective of the current study is to investigate the link between depression and fear of falling in Hong Kong Chinese older adults in primary are settings. Using longitudinal data collected on 321 Chinese primary care patients 65 years of age and older, the authors investigated the reciprocal relationship between fear of falling and depression and examined whether functional disability and social functioning mediated the link between fear of falling and depression. Participants were recruited from three primary care units in Hong Kong. Subjects were assessed in Cantonese by two trained assessors with Minimum Data Set-Home Care twice over a period of one year. Findings revealed that fear of falling at baseline significantly predicted depression at 12 month follow-up assessment after age, gender, marital status, education and depression at baseline were adjusted, but depression at baseline did not predict fear of falling at 12 months after fear of falling at baseline was adjusted. Moreover, social functioning mediated the impact of fear of falling on depression. The findings presented here indicate that fear of falling potentially increases the risk of depression in Chinese older adults in primary care settings.

  11. Why is Past Depression the Best Predictor of Future Depression? Stress Generation as a Mechanism of Depression Continuity in Girls

    OpenAIRE

    Rudolph, Karen D.; Flynn, Megan; Abaied, Jamie; Groot, Alison; Thompson, Renee

    2009-01-01

    This study examined whether a transactional interpersonal life stress model helps to explain the continuity in depression over time in girls. Youth (86 girls, 81 boys; M age = 12.41, SD = 1.19) and their caregivers participated in a three-wave longitudinal study. Depression and episodic life stress were assessed with semi-structured interviews. Path analysis provided support for a transactional interpersonal life stress model in girls but not in boys, wherein depression predicted the generati...

  12. Maternal depression during pregnancy and offspring depression in adulthood: role of child maltreatment

    Science.gov (United States)

    Plant, Dominic T.; Pariante, Carmine M.; Sharp, Deborah; Pawlby, Susan

    2015-01-01

    Background Studies have shown that maternal depression during pregnancy predicts offspring depression in adolescence. Child maltreatment is also a risk factor for depression. Aims To investigate (a) whether there is an association between offspring exposure to maternal depression in pregnancy and depression in early adulthood, and (b) whether offspring child maltreatment mediates this association. Method Prospectively collected data on maternal clinical depression in pregnancy, offspring child maltreatment and offspring adulthood (18–25 years) DSM-IV depression were analysed in 103 mother–offspring dyads of the South London Child Development Study. Results Adult offspring exposed to maternal depression in pregnancy were 3.4 times more likely to have a DSM-IV depressive disorder, and 2.4 times more likely to have experienced child maltreatment, compared with non-exposed offspring. Path analysis revealed that offspring experience of child maltreatment mediated the association between exposure to maternal depression in pregnancy and depression in adulthood. Conclusions Maternal depression in pregnancy is a key vulnerability factor for offspring depression in early adulthood. PMID:26045352

  13. Contributors to suicidality in rural communities: beyond the effects of depression

    Science.gov (United States)

    2012-01-01

    Background Rural populations experience a higher suicide rate than urban areas despite their comparable prevalence of depression. This suggests the identification of additional contributors is necessary to improve our understanding of suicide risk in rural regions. Investigating the independent contribution of depression, and the impact of co-existing psychiatric disorders, to suicidal ideation and suicide attempts in a rural community sample may provide clarification of the role of depression in rural suicidality. Methods 618 participants in the Australian Rural Mental Health Study completed the Composite International Diagnostic Interview, providing assessment of lifetime suicidal ideation and attempts, affective disorders, anxiety disorders and substance-use disorders. Logistic regression analyses explored the independent contribution of depression and additional diagnoses to suicidality. A receiver operating characteristic (ROC) analysis was performed to illustrate the benefit of assessing secondary psychiatric diagnoses when determining suicide risk. Results Diagnostic criteria for lifetime depressive disorder were met by 28% (174) of the sample; 25% (154) had a history of suicidal ideation. Overall, 41% (63) of participants with lifetime suicidal ideation and 34% (16) of participants with a lifetime suicide attempt had no history of depression. When lifetime depression was controlled for, suicidal ideation was predicted by younger age, being currently unmarried, and lifetime anxiety or post-traumatic stress disorder. In addition to depression, suicide attempts were predicted by lifetime anxiety and drug use disorders, as well as younger age; being currently married and employed were significant protective factors. The presence of comorbid depression and PTSD significantly increased the odds of reporting a suicide attempt above either of these conditions independently. Conclusions While depression contributes significantly to suicidal ideation, and is a key

  14. Early Improvement in Work Productivity Predicts Future Clinical Course in Depressed Outpatients: Findings from the CO-MED Trial

    Science.gov (United States)

    Jha, Manish K.; Minhajuddin, Abu; Greer, Tracy L.; Carmody, Thomas; Rush, A. John; Trivedi, Madhukar H.

    2018-01-01

    Objective Depression symptom severity, the most commonly studied outcome in antidepressant treatment trials, accounts for only a small portion of burden related to major depression. While lost work productivity is the biggest contributor to depression’s economic burden, few studies have systematically evaluated the independent effect of treatment on work productivity and the relationship between changes in work productivity and longer-term clinical course. Method Work productivity was measured repeatedly by the Work Productivity and Activity Impairment (WPAI) self-report in 331 employed participants with major depression enrolled in the Combining Medications to Enhance Depression Outcomes (CO-MED) trial. Trajectories of change in work productivity during the first 6 weeks of treatment were identified and used to predict remission at 3 and 7 months. Results Participants reported reduced absence from work and increased work productivity with antidepressant treatment even after controlling for changes in depression severity. Three distinct trajectories of changes in work productivity were identified: 1) robust early improvement (24%), 2) minimal change (49%), and 3) high-impairment slight reduction (27%). As compared to other participants, those with robust improvement had 3–5 times higher remission rates at 3 months and 2–5 times higher remission rates at 7 months, even after controlling for select baseline variables and remission status at week 6. Conclusions In this secondary analysis, self-reported work productivity improved in depressed patients with antidepressant treatment even after accounting for depressive symptom reduction. Early improvement in work productivity is associated with much higher remission rates after 3 and 7 months of treatment. PMID:27523501

  15. Oxytocin course over pregnancy and postpartum period and the association with postpartum depressive symptoms.

    Science.gov (United States)

    Jobst, Andrea; Krause, Daniela; Maiwald, Carina; Härtl, Kristin; Myint, Aye-Mu; Kästner, Ralph; Obermeier, Michael; Padberg, Frank; Brücklmeier, Benedikt; Weidinger, Elif; Kieper, Susann; Schwarz, Markus; Zill, Peter; Müller, Norbert

    2016-08-01

    During the postpartum period, women are at higher risk of developing a mental disorder such as postpartum depression (PPD), a disorder that associates with mother-infant bonding and child development. Oxytocin is considered to play a key role in mother-infant bonding and social interactions and altered oxytocin plasma concentrations were found to be associated with PPD. In the present study, we evaluated oxytocin plasma levels and depressive symptoms during pregnancy and the postpartum period in healthy women. We evaluated 100 women twice during pregnancy (weeks 35 and 38) and three times in the postpartum period (within 2 days and 7 weeks and 6 months after delivery) by measuring oxytocin plasma levels with enzyme-linked immunosorbent assay (ELISA) and assessing depressive symptoms with the Montgomery-Asberg Depression Rating Scale. Oxytocin plasma levels significantly increased from the 35th week of gestation to 6 months postpartum in all women. However, levels decreased from the 38th week of gestation to 2 days after delivery in participants with postpartum depressive symptoms, whereas they continuously increased in the group without postpartum depressive symptoms; the difference between the course of oxytocin levels in the two groups was significant (Δt2-t3: t = 2.14; p = 0.036*). Previous depressive episodes and breastfeeding problems predicted postpartum depressive symptoms. Our results indicate that alterations in the oxytocin system during pregnancy might be specific for women who develop postpartum depressive symptoms. Future studies should investigate whether oxytocin plasma levels might have predictive value in women at high risk for PPD.

  16. The Temporal Sequence of Social Anxiety and Depressive Symptoms following Interpersonal Stressors during Adolescence

    Science.gov (United States)

    Hamilton, Jessica L.; Potter, Carrie M.; Olino, Thomas M.; Abramson, Lyn Y.; Heimberg, Richard G.; Alloy, Lauren B.

    2015-01-01

    Social anxiety and depressive symptoms dramatically increase and frequently co-occur during adolescence. Although research indicates that general interpersonal stressors, peer victimization, and familial emotional maltreatment predict symptoms of social anxiety and depression, it remains unclear how these stressors contribute to the sequential development of these internalizing symptoms. Thus, the present study examined the sequential development of social anxiety and depressive symptoms following the occurrence of interpersonal stressors, peer victimization, and familial emotional maltreatment. Participants included 410 early adolescents (53% female; 51% African American; Mean age =12.84 years) who completed measures of social anxiety and depressive symptoms at three time points (Times 1–3), as well as measures of general interpersonal stressors, peer victimization, and emotional maltreatment at Time 2. Path analyses revealed that interpersonal stressors, peer victimization, and emotional maltreatment predicted both depressive and social anxiety symptoms concurrently. However, depressive symptoms significantly mediated the pathway from interpersonal stressors, peer victimization, and familial emotional maltreatment to subsequent levels of social anxiety symptoms. In contrast, social anxiety did not mediate the relationship between these stressors and subsequent depressive symptoms. There was no evidence of sex or racial differences in these mediational pathways. Findings suggest that interpersonal stressors, including the particularly detrimental stressors of peer victimization and familial emotional maltreatment, may predict both depressive and social anxiety symptoms; however, adolescents who have more immediate depressogenic reactions may be at greater risk for later development of symptoms of social anxiety. PMID:26142495

  17. The Temporal Sequence of Social Anxiety and Depressive Symptoms Following Interpersonal Stressors During Adolescence.

    Science.gov (United States)

    Hamilton, Jessica L; Potter, Carrie M; Olino, Thomas M; Abramson, Lyn Y; Heimberg, Richard G; Alloy, Lauren B

    2016-04-01

    Social anxiety and depressive symptoms dramatically increase and frequently co-occur during adolescence. Although research indicates that general interpersonal stressors, peer victimization, and familial emotional maltreatment predict symptoms of social anxiety and depression, it remains unclear how these stressors contribute to the sequential development of these internalizing symptoms. Thus, the present study examined the sequential development of social anxiety and depressive symptoms following the occurrence of interpersonal stressors, peer victimization, and familial emotional maltreatment. Participants included 410 early adolescents (53% female; 51% African American; Mean age =12.84 years) who completed measures of social anxiety and depressive symptoms at three time points (Times 1-3), as well as measures of general interpersonal stressors, peer victimization, and emotional maltreatment at Time 2. Path analyses revealed that interpersonal stressors, peer victimization, and emotional maltreatment predicted both depressive and social anxiety symptoms concurrently. However, depressive symptoms significantly mediated the pathway from interpersonal stressors, peer victimization, and familial emotional maltreatment to subsequent levels of social anxiety symptoms. In contrast, social anxiety did not mediate the relationship between these stressors and subsequent depressive symptoms. There was no evidence of sex or racial differences in these mediational pathways. Findings suggest that interpersonal stressors, including the particularly detrimental stressors of peer victimization and familial emotional maltreatment, may predict both depressive and social anxiety symptoms; however, adolescents who have more immediate depressogenic reactions may be at greater risk for later development of symptoms of social anxiety.

  18. A machine learning approach using EEG data to predict response to SSRI treatment for major depressive disorder.

    Science.gov (United States)

    Khodayari-Rostamabad, Ahmad; Reilly, James P; Hasey, Gary M; de Bruin, Hubert; Maccrimmon, Duncan J

    2013-10-01

    The problem of identifying, in advance, the most effective treatment agent for various psychiatric conditions remains an elusive goal. To address this challenge, we investigate the performance of the proposed machine learning (ML) methodology (based on the pre-treatment electroencephalogram (EEG)) for prediction of response to treatment with a selective serotonin reuptake inhibitor (SSRI) medication in subjects suffering from major depressive disorder (MDD). A relatively small number of most discriminating features are selected from a large group of candidate features extracted from the subject's pre-treatment EEG, using a machine learning procedure for feature selection. The selected features are fed into a classifier, which was realized as a mixture of factor analysis (MFA) model, whose output is the predicted response in the form of a likelihood value. This likelihood indicates the extent to which the subject belongs to the responder vs. non-responder classes. The overall method was evaluated using a "leave-n-out" randomized permutation cross-validation procedure. A list of discriminating EEG biomarkers (features) was found. The specificity of the proposed method is 80.9% while sensitivity is 94.9%, for an overall prediction accuracy of 87.9%. There is a 98.76% confidence that the estimated prediction rate is within the interval [75%, 100%]. These results indicate that the proposed ML method holds considerable promise in predicting the efficacy of SSRI antidepressant therapy for MDD, based on a simple and cost-effective pre-treatment EEG. The proposed approach offers the potential to improve the treatment of major depression and to reduce health care costs. Copyright © 2013 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

  19. Leisure, functional disability and depression among older Chinese living in residential care homes.

    Science.gov (United States)

    Ouyang, Zheng; Chong, Alice M L; Ng, Ting Kin; Liu, Susu

    2015-01-01

    Previous research has rarely examined the intervening and buffering effects of leisure on the relationship between age-related stress and health among institutionalized elders, especially in the Chinese context. This study thus examines the extent to which participation in leisure activities mediates and moderates the impact of functional disability on depression among older adults living in residential care homes in China. A total of 1429 participants (858 men) aged over 60 living in residential care homes, of which 46.1% experienced depression using a cut-off score ≥ 5 on the 15-item Geriatric Depression Scale, were selected from a national survey across China by using the probability proportional to size sampling method. The findings showed that depression was positively predicted by functional disability and negatively predicted by participation in leisure activities. The results of the mediation analysis showed that participation in leisure activities partially mediated the relationship between functional disability and depression. Functional disability predicted depression both directly and indirectly through its negative influence on participation in leisure activities. Participation in leisure activities also significantly buffered the relationship between functional disability and depression such that the impact of functional disability was weaker for those who participated in leisure activities more frequently. These results provide support for the mediating and moderating roles of leisure in the stress-health relationship among institutionalized elders. To enhance residents' psychological health, residential care homes are recommended to organize more leisure activities.

  20. Nedley Depression Hit Hypothesis: Identifying Depression and Its Causes.

    Science.gov (United States)

    Nedley, Neil; Ramirez, Francisco E

    2016-11-01

    Depression is often diagnosed using the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-5) criteria. We propose how certain lifestyle choices and non-modifiable factors can predict the development of depression. We identified 10 cause categories (hits or "blows" to the brain) and theorize that four or more active hits could trigger a depression episode. Methods. A sample of 4271 participants from our community-based program (70% female; ages 17-94 years) was assessed at baseline and at the eighth week of the program using a custom test. Ten cause categories were examined as predictors of depression are (1) Genetic, (2)Developmental, (3)Lifestyle, (4)Circadian Rhythm, (5)Addiction, (6)Nutrition, (7)Toxic, (8)Social/Complicated Grief, (9)Medical Condition, and (10)Frontal Lobe. Results. The relationship between the DSM-5 score and a person having four hits categories in the first program week showed a sensitivity of 89.98 % (95% CI: 89.20 % - 90.73%), specificity 48.84% (CI 45.94-51.75) and Matthew Correlation Coefficient (MCC) .41 . For the eight-week test, the results showed a sensitivity 83.6% (CI 81.9-85.5), specificity 53.7% (CI 51.7-55.6) and MCC .38. Overall, the hits that improved the most from baseline after the eighth week were: Nutrition (47%), Frontal lobe (36%), Addiction (24%), Circadian rhythm (24%), Lifestyle (20%), Social (12%) and Medical (10%). Conclusions. The Nedley four-hit hypothesis seems to predict a depressive episode and correlates well with the DSM-5 criteria with good sensitivity and MCC but less specificity. Identifying these factors and applying lifestyle therapies could play an important role in the treatment of depressed individuals.

  1. Coping profiles characterize individual flourishing, languishing, and depression.

    Science.gov (United States)

    Faulk, Kathryn E; Gloria, Christian T; Steinhardt, Mary A

    2013-01-01

    According to the broaden-and-build theory of positive emotions, negative emotions narrow one's thought-action repertoire. In contrast, positive emotions have a broadening effect, expanding cognitive capacity, increasing potential coping strategies that come to mind, and enhancing decision-making, reaction, and adaptation to adversity. Fredrickson and Losada determined that a positivity ratio - the ratio of experienced positive to negative emotions - at or above 2.9 promotes human flourishing. A ratio below 2.9 is indicative of languishing individuals, whereas a ratio below 1.0 is a marker of depression. This study examined whether adaptive and maladaptive coping profiles differentiated those who flourish, languish, or are depressed in two convenience samples - military spouses (n =367) and public school teachers (n=267). Results were consistent with the theoretical predictions, as coping profiles of the groups differed significantly, with flourishing individuals favoring adaptive coping strategies more than those who were languishing or depressed. Conversely, depressed individuals reported greater use of maladaptive coping strategies than those who were languishing or flourishing. These results provide further empirical support for the mathematical model of Fredrickson and Losada, as the set of positivity criteria were predictive of coping profiles in two samples where successful coping and adaptation are important.

  2. Depression in Hemodialysis Patients

    Directory of Open Access Journals (Sweden)

    Badema Čengić

    2010-04-01

    Full Text Available Depression is the most frequent psychological complication of haemodialysis (HD patients (pts and has been associated with impaired Quality of Life (QoL. The aim of our study was to investigate the prevalence of depression in HD pts in relation to sociodemographic factors and the relationship between depression and QoL.200 pts from Clinic for haemodialysis in Sarajevo, B&H were participating in the study. Mean age was S7,26±13,78 years and mean HD duration was 64’26±58,18 months. From the test material we applied BDI and SF-36.51% of our pts have shown depression (BDI>11 in various degrees (30%-mild depression, 8,5%-moderate depression and 12,5%-severe depression. As we could expect, the most emphasized symptoms of depression were somatic symptoms. 55,5% of pts have shown QoL lower then average. Sociodemographic data such as gender, marital status and HD duration did not influence significantly on pt’s QoL and occurrence of depression (p>0,05. As the age of the pts increased, level of depression increased too and QoL significantly decreased (p<0,05. Employed pts have shown significantly better QoL and lower level of depression in relation to unemployed pts (p<0,05. As the educational level of pts increased, QoL increased too and level of depression significantly decreased (p<0,05. Pts in 1st HD shift were significantly more depressed and have significantly worse mental health in compare to pts in 3rd HD shift (p<0,05. Our results showed a high prevalence of depressive symptoms among the study group that was linked to trend of poor QoL.

  3. What does brain response to neutral faces tell us about major depression? evidence from machine learning and fMRI.

    Science.gov (United States)

    Oliveira, Leticia; Ladouceur, Cecile D; Phillips, Mary L; Brammer, Michael; Mourao-Miranda, Janaina

    2013-01-01

    A considerable number of previous studies have shown abnormalities in the processing of emotional faces in major depression. Fewer studies, however, have focused specifically on abnormal processing of neutral faces despite evidence that depressed patients are slow and less accurate at recognizing neutral expressions in comparison with healthy controls. The current study aimed to investigate whether this misclassification described behaviourally for neutral faces also occurred when classifying patterns of brain activation to neutral faces for these patients. TWO INDEPENDENT DEPRESSED SAMPLES: (1) Nineteen medication-free patients with depression and 19 healthy volunteers and (2) Eighteen depressed individuals and 18 age and gender-ratio-matched healthy volunteers viewed emotional faces (sad/neutral; happy/neutral) during an fMRI experiment. We used a new pattern recognition framework: first, we trained the classifier to discriminate between two brain states (e.g. viewing happy faces vs. viewing neutral faces) using data only from healthy controls (HC). Second, we tested the classifier using patterns of brain activation of a patient and a healthy control for the same stimuli. Finally, we tested if the classifier's predictions (predictive probabilities) for emotional and neutral face classification were different for healthy controls and depressed patients. Predictive probabilities to patterns of brain activation to neutral faces in both groups of patients were significantly lower in comparison to the healthy controls. This difference was specific to neutral faces. There were no significant differences in predictive probabilities to patterns of brain activation to sad faces (sample 1) and happy faces (samples 2) between depressed patients and healthy controls. Our results suggest that the pattern of brain activation to neutral faces in depressed patients is not consistent with the pattern observed in healthy controls subject to the same stimuli. This difference in

  4. What does brain response to neutral faces tell us about major depression? evidence from machine learning and fMRI.

    Directory of Open Access Journals (Sweden)

    Leticia Oliveira

    Full Text Available A considerable number of previous studies have shown abnormalities in the processing of emotional faces in major depression. Fewer studies, however, have focused specifically on abnormal processing of neutral faces despite evidence that depressed patients are slow and less accurate at recognizing neutral expressions in comparison with healthy controls. The current study aimed to investigate whether this misclassification described behaviourally for neutral faces also occurred when classifying patterns of brain activation to neutral faces for these patients.TWO INDEPENDENT DEPRESSED SAMPLES: (1 Nineteen medication-free patients with depression and 19 healthy volunteers and (2 Eighteen depressed individuals and 18 age and gender-ratio-matched healthy volunteers viewed emotional faces (sad/neutral; happy/neutral during an fMRI experiment. We used a new pattern recognition framework: first, we trained the classifier to discriminate between two brain states (e.g. viewing happy faces vs. viewing neutral faces using data only from healthy controls (HC. Second, we tested the classifier using patterns of brain activation of a patient and a healthy control for the same stimuli. Finally, we tested if the classifier's predictions (predictive probabilities for emotional and neutral face classification were different for healthy controls and depressed patients.Predictive probabilities to patterns of brain activation to neutral faces in both groups of patients were significantly lower in comparison to the healthy controls. This difference was specific to neutral faces. There were no significant differences in predictive probabilities to patterns of brain activation to sad faces (sample 1 and happy faces (samples 2 between depressed patients and healthy controls.Our results suggest that the pattern of brain activation to neutral faces in depressed patients is not consistent with the pattern observed in healthy controls subject to the same stimuli. This

  5. Is it useful to ask "Está deprimido?" ("Are you depressed?") to terminally-ill Portuguese patients? Results from outpatient research.

    Science.gov (United States)

    Julião, Miguel; Nunes, Baltazar; Sobral, Maria Ana; Dias, Daniela; Inocêncio, Inês; Barbosa, António

    2016-04-01

    Depression is a serious psychological problem in the palliative care setting. Brief screening tools for depression are lacking and need to be brief and acceptable. This study aimed to identify the properties of the single Portuguese question "Está deprimido?" ("Are you depressed?") to screen for depression. Retrospective study from 100 patient's medical records identifying the answers on the single Portuguese question for depression "Está deprimido?" ("Are you depressed?") and the HADS depression sub-scale, using a score ≥11 on the latter as the gold standard for clinically significant depressive symptoms. Sensitivity, specificity, positive predictive and negative values were calculated. Response rate for the single Portuguese question for depression was 100%. Prevalence of depression symptoms (HADS-d ≥ 11) was 43%. To the question "Está deprimido?" 60 patients responded "yes." Sixteen patients who replied "no" to the single question had clinically significant depressive symptoms based on the HADS depression sub-scale. The single tool had 65.2% sensitivity, 49.2% specificity and 50.0% and 64.4% of positive predictive and negative values, respectively. In this first preliminary retrospective Portuguese study, the single question for depression has shown poor screening properties. Future research in larger and mixed patientś samples of Portuguese terminally ill is necessary to find more accurate and robust properties of this brief tool.

  6. Frontal alpha EEG asymmetry before and after behavioral activation treatment for depression.

    Science.gov (United States)

    Gollan, Jackie K; Hoxha, Denada; Chihade, Dietta; Pflieger, Mark E; Rosebrock, Laina; Cacioppo, John

    2014-05-01

    Mid-frontal and mid-lateral (F3/F4 and F7/F8) EEG asymmetry has been associated with motivation and affect. We examined alpha EEG asymmetry in depressed and healthy participants before and after Behavioral Activation treatment for depression; examined the association between alpha EEG asymmetry and motivational systems and affect; and evaluated the utility of alpha EEG asymmetry in predicting remission. Depressed (n=37) and healthy participants (n=35) were assessed before and after treatment using a clinical interview, a task to measure baseline EEG, and questionnaires of behavioral activation and inhibition, avoidance, and affect. Alpha EEG asymmetry was significantly higher in depressed than healthy participants at pre-treatment, positively correlated with negative affect and behavioral inhibition, and inversely correlated with lower behavioral activation sensitivity. Heightened alpha EEG asymmetry in depressed participants was significantly associated with increased behavioral inhibition and negative emotion and was independent of clinical remission. Copyright © 2014 Elsevier B.V. All rights reserved.

  7. Association between screen time and depression among US adults

    Directory of Open Access Journals (Sweden)

    K.C. Madhav

    2017-12-01

    Full Text Available Epidemiological surveys conducted in general populations have found that the prevalence of depression is about 9% in the United States. World Health Organization has projected that depression will be leading cause of disease burden by the year 2030. Growing evidence suggests that sedentary lifestyle is an important risk factor of depression among adults. The relationship between television watching/computer use and depression in US adults is still unknown. The objective of this study was to assess the relationship between television watching/computer use and depression. This is a cross-sectional study that used the secondary data from the National Health and Nutritional Examination Survey (NHANES (2011/2012. Participants were 3201 US adults who were 20years or more. Self-reported Patient Health Questionnaire-9 [PHQ-9] was used to classify depression level; self-reported hours of watching TV and use of computer/day, and demographic information were obtained from NHANES data set. SAS®9.4was used to perform all statistical analyses and final model selection procedure. Depression was found to be significantly higher among female. Results showed that moderate or severe depression level was associated with higher time spent on TV watching and use of computer (>6h/day (adjusted odds ratio: 2.3, 95% CI: 1.602–3.442. Duration of screen time was significantly associated when all covariates were adjusted. TV watching and computer use can predict the depression level among adults. Prospective studies and measurement of factors such as: work place sitting, social relationship, and family history of depression are warranted. Keywords: National Health and Nutritional Examination Survey, Depression, TV and computer screen time

  8. Depressive personality and treatment outcome in major depressive disorder.

    Science.gov (United States)

    Ryder, Andrew G; Quilty, Lena C; Vachon, David D; Bagby, R Michael

    2010-06-01

    Depressive personality disorder (DPD) is currently included in the DSM-IV Appendix B, Criteria Sets and Axes Provided for Further Study. Evidence of the clinical utility of DPD will likely play an important role in the determination of whether it warrants inclusion in future editions of DSM. The current investigation examines the capacity of DPD traits to predict overall and preferential treatment outcome for patients with Major Depressive Disorder (MDD) (N = 120) using data from a randomized control trial, which included cognitive behavioral therapy (CBT), interpersonal therapy (IPT), and antidepressant medication (ADM) treatment arms. Patients were treated for 16-20 weeks and completed the Structured Clinical Interview for DSM-IV Axis II Personality Disorders Questionnaire (SCID-II/PQ) and the 17-item Hamilton Rating Scale for Depression immediately before and after treatment. Higher scores on a dimensionalized SCID-II/PQ subscale assessing DPD traits were associated with poor outcome for IPT, but not CBT or ADM. This result remained after accounting for variance associated with other personality disorder (PD) traits; none of the other 10 main text PDs predicted treatment outcome.

  9. The relationship among preconception depression, anxiety, and social support of the reproductive-aged women in China.

    Science.gov (United States)

    Xu, Jihong; Chen, Ping; Ma, Xu

    2018-02-14

    The reproductive-aged women have to face physiological and psychological challenges as long as they plan to conceive. However, most previous studies focused on depression and anxiety during pregnancy. This study aimed to investigate the association among preconception depression, anxiety, and social support of the Chinese reproductive-aged women. Nine-hundred five reproductive-aged women who planned to conceive for the first or second time in the next three months were recruited through the Maternity and Child Healthcare Hospital and Obstetrics and Gynecology Hospital from three provinces in China. Social Support Rating Scale, Self-Rating Depression Scale, and Self-Rating Anxiety Scale were used in this study. The hierarchical regression model was employed to examine the prediction effect of the three sub-dimensions of social support on preconception depression and anxiety. Of the reproductive-aged women, 25.86 and 13.04% had preconception depression and anxiety symptoms. Nearly all reproductive-aged women had moderate and high social support before pregnancy. The significant differences in depression and anxiety among different levels of occupation and monthly income were found. For depression and anxiety, objective support, support availability, and subjective support simultaneously entered into the model still could significantly explain 5.9 and 6.7% of variations after controlling for the demographic variables, respectively. According to this study, there were significant correlations among preconception depression, anxiety, and social support. And objective support, support availability, and subjective support could negatively predict preconception depression and anxiety. Attaching importance to the preconception mental health and social support can provide effective scientific support for helping women fully understand and effectively use the social resources, and scientifically prepare for pregnancy.

  10. A "Mental-Health-at-the-Workplace" Educational Workshop Reduces Managers' Stigma Toward Depression.

    Science.gov (United States)

    Hamann, Johannes; Mendel, Rosmarie; Reichhart, Tatjana; Rummel-Kluge, Christine; Kissling, Werner

    2016-01-01

    Stigma and discrimination are important factors hindering people with mental health conditions to stay employed or successfully make their careers. We surveyed 580 German managers before and after visiting a "mental-health-at-the-workplace" educational workshop using the Depression Stigma Scale. The workshop significantly reduced stigma toward depression. Managers at baseline already exhibited lower stigma toward depression compared with the general population. In addition, female gender and higher education predicted lower stigma, which is in line with findings from other studies. We conclude that an educational workshop giving practical guidance regarding "mental-health-at-the-workplace" reduces managers' stigma toward depression and improves knowledge regarding depression, its course, and its treatment.

  11. Emotional eating as a mediator between depression and weight gain.

    Science.gov (United States)

    van Strien, Tatjana; Konttinen, Hanna; Homberg, Judith R; Engels, Rutger C M E; Winkens, Laura H H

    2016-05-01

    Depression is often associated with weight gain but underlying mechanisms are unclear. This study assessed whether three psychological eating styles (emotional eating, external eating and restrained eating) act as mediators between depression and weight gain. We used structural equation modelling to test the hypothesized mediation models in a sample of 298 fathers and 294 mothers by assessing self-reported eating styles (Dutch Eating Behavior Questionnaire), depressive feelings (Depressive Mood List) and body mass index (BMI) at baseline and BMI after five years. In the model with emotional eating we also assessed the moderation effect of 5-HTTLPR genotype in a sub-sample of 520 Caucasians. All analyses were performed separately for the two sexes. Although the overall effect of depression on weight gain was statistically non-significant in both sexes, there was a causal chain between depression, emotional eating and weight gain in the mothers. Depressive symptoms were related to higher emotional eating and emotional eating predicted greater increases in BMI independently of depression. Moreover, the indirect effect (via emotional eating) of depression on BMI change was significant (Beta = 0.18, P = 0.026). This mediation effect was found to be independent of 5-HTTLPR genotype. No such mediation effect was found for the fathers. Further, external eating and restrained eating did not act as mediators between depression and weight gain in either sex. The finding that emotional eating acted as mediator between depression and weight gain in the mothers suggests that obesity interventions should take emotional eating into account. Copyright © 2016 Elsevier Ltd. All rights reserved.

  12. Depression relapse and ethological measures

    NARCIS (Netherlands)

    Hale, WWH; Jansen, JHC; Bouhuys, AL; vandenHoofdakker, RH

    1997-01-01

    Within the framework of interactional theories on depression, the question is raised whether depression relapse can be predicted by observable behavior of remitted patients and their interviewer during an interaction (i.e. discharge interview). Thirty-four patients were interviewed at hospital

  13. Postpartum Depression: An Interactional View.

    Science.gov (United States)

    Kraus, Mary Ann; Redman, E. Scott

    1986-01-01

    Postpartum depression is conceptualized as a predictable developmental, family crisis, which occurs when the natural difficulties of childbirth are benignly mishandled. Tactics are illustrated for interdicting maladaptive interpersonal spirals, including normalizing conflicting complaints; reframing depression as positive but costly; regulating…

  14. Longitudinal pathways of sexual victimization, sexual self-esteem, and depression in women and men.

    Science.gov (United States)

    Krahé, Barbara; Berger, Anja

    2017-03-01

    This article presents a longitudinal analysis of the links between sexual assault victimization, depression, and sexual self-esteem by examining their cross-lagged paths among both men and women. Male and female college students (N = 2,425) in Germany participated in the study that comprised 3 data waves in their first, second, and third year of university, separated by 12-month intervals. Sexual assault victimization was assessed at Time 1 (T1) since the age of 14 and at Time 2 (T2) and Time 3 (T3) for the last 12 months. Depression and sexual self-esteem were measured at each wave. Random-intercept cross-lagged panel analyses, controlling for individual differences in depression and sexual self-esteem, showed that sexual assault at T1 predicted depression and lower sexual self-esteem at T2, and depression and lower self-esteem at T2 predicted sexual assault victimization at T3. In addition, significant paths were found from T1 depression to T2 sexual assault victimization and from T2 sexual assault victimization to depression at T3. Sexual victimization at T1 was indirectly linked to sexual victimization at T3 via depression at T2. Both depression and sexual self-esteem at T1 were indirectly linked to sexual victimization at T3. The paths did not differ significantly between men and women. Sexual assault victimization was shown to be a risk factor for both depression as a general mental health indicator and lowered sexual self-esteem as a specific outcome in the domain of sexuality. Moreover, depression and sexual self-esteem increased the vulnerability for sexual assault victimization, which has implications for prevention and intervention efforts. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  15. Nedley Depression Hit Hypothesis

    OpenAIRE

    Nedley, Neil; Ramirez, Francisco E.

    2014-01-01

    Depression is often diagnosed using the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-5) criteria. We propose how certain lifestyle choices and non-modifiable factors can predict the development of depression. We identified 10 cause categories (hits or ?blows? to the brain) and theorize that four or more active hits could trigger a depression episode. Methods. A sample of 4271 participants from our community-based program (70% female; ages 17-94 years) was assessed ...

  16. Rumination Mediates the Relationship between Infant Temperament and Adolescent Depressive Symptoms

    Directory of Open Access Journals (Sweden)

    Amy H. Mezulis

    2011-01-01

    Full Text Available This study examined prospective associations between negative emotionality, rumination, and depressive symptoms in a community sample of 301 youths (158 females followed longitudinally from birth to adolescence. Mothers reported on youths' negative emotionality (NE at age 1, and youths self-reported rumination at age 13 and depressive symptoms at ages 13 and 15. Linear regression analyses indicated that greater NE in infancy was associated with more depressive symptoms at age 15, even after controlling for child gender and depressive symptoms at age 13. Moreover, analyses indicated that rumination significantly mediated the association between infancy NE and age 15 depressive symptoms in the full sample. When analyzed separately by gender, however, rumination mediated the relationship between NE and depressive symptoms for girls but not for boys. The results confirm and extend previous findings on the association between affective and cognitive vulnerability factors in predicting depressive symptoms and the gender difference in depression in adolescence, and suggest that clinical interventions designed to reduce negative emotionality may be useful supplements to traditional cognitive interventions for reducing cognitive vulnerability to depression.

  17. Effects of perceived support from mothers, fathers, and teachers on depressive symptoms during the transition to middle school.

    Science.gov (United States)

    Rueger, Sandra Yu; Chen, Pan; Jenkins, Lyndsay N; Choe, Hyung Joon

    2014-04-01

    The transition to middle school can be a significant stressor for young adolescents, leading to increases in depression for those who are vulnerable. The current study examined how perceived support from mothers, fathers, and teachers independently and interactively predicted developmental patterns of depressive symptoms during adolescents' transition to middle school, and gender differences in these effects of social support. Four timepoints of data were collected from 1,163 participants (48.5 % boys) enrolled in an ethnically diverse suburban middle school in the Midwest between 1.25 and 20.50 months after these participants entered the 7th grade. The results from growth curve modeling indicated that levels of depressive symptoms decreased over time for boys but remained stable for girls during the developmental period examined. There is also evidence that support from mothers, fathers, and teachers independently and inversely predicted levels of depressive symptoms at the beginning of the 7th grade, and support from both mothers and fathers predicted changes in these symptoms. Effects of mothers' support and teachers' support, but not the effect of fathers' support, remained significant in reducing levels of depressive symptoms at 20.50 months from middle school entry. Furthermore, the protective effect of mothers' support was stronger for girls than for boys. Finally, mothers' support interacted with fathers' support and teachers' support to predict levels of depressive symptoms. Specifically, the protective effect of mothers' support was more salient when fathers' support was low, and vice versa. In contrast, support from mothers and teachers had an amplifying, synergistic effect.

  18. Causal beliefs about depression in different cultural groups—what do cognitive psychological theories of causal learning and reasoning predict?

    OpenAIRE

    Hagmayer, York; Engelmann, Neele

    2014-01-01

    Cognitive psychological research focuses on causal learning and reasoning while cognitive anthropological and social science research tend to focus on systems of beliefs. Our aim was to explore how these two types of research can inform each other. Cognitive psychological theories (causal model theory and causal Bayes nets) were used to derive predictions for systems of causal beliefs. These predictions were then applied to lay theories of depression as a specific test case. A systematic lite...

  19. The role of bullying in depressive symptoms from adolescence to emerging adulthood: A growth mixture model.

    Science.gov (United States)

    Hill, Ryan M; Mellick, William; Temple, Jeff R; Sharp, Carla

    2017-01-01

    The present study sought to identify trajectories of depressive symptoms in adolescence and emerging adulthood using a school-based sample of adolescents assessed over a five-year period. The study also examined whether bully and cyberbully victimization and perpetration significantly predicted depressive symptom trajectories. Data from a sample of 1042 high school students were examined. The sample had a mean age of 15.09 years (SD=.79), was 56.0% female, and was racially diverse: 31.4% Hispanic, 29.4% White, and 27.9% African American. Data were examined using growth mixture modeling. Four depressive symptoms trajectories were identified, including those with a mild trajectory of depressive symptoms, an increasing trajectory of depressive symptoms, an elevated trajectory of depressive symptoms, and a decreasing trajectory of depressive symptoms. Results indicated that bully victimization and cyberbully victimization differentially predicted depressive symptoms trajectories across adolescence, though bully and cyberbully perpetration did not. Limitations include reliance on self-reports of bully perpetration and a limited consideration of external factors that may impact the course of depression. These findings may inform school personnel in identifying students' likely trajectory of depressive symptoms and determining where depression prevention and treatment services may be needed. Copyright © 2016 Elsevier B.V. All rights reserved.

  20. Mood reactivity rather than cognitive reactivity is predictive of depressive relapse : a randomized study with 5.5-year follow-up

    NARCIS (Netherlands)

    van Rijsbergen, Gerard D; Bockting, Claudi L H; Burger, Huibert; Spinhoven, Philip; Koeter, Maarten W J; Ruhe, Eric; Hollon, Steven D; Schene, Aart H

    OBJECTIVE: The current study examined whether cognitive reactivity, cognitive extremity reactivity, and mood reactivity following mood provocation predicted relapse in depression over 5.5 years. Additionally, this study was the 1st to examine whether changes in cognitive reactivity and mood

  1. Mood reactivity rather than cognitive reactivity is predictive of depressive relapse: a randomized study with 5.5-year follow-up

    NARCIS (Netherlands)

    van Rijsbergen, Gerard D.; Bockting, Claudi L. H.; Burger, Huibert; Spinhoven, Philip; Koeter, Maarten W. J.; Ruhé, Henricus G.; Hollon, Steven D.; Schene, Aart H.

    2013-01-01

    The current study examined whether cognitive reactivity, cognitive extremity reactivity, and mood reactivity following mood provocation predicted relapse in depression over 5.5 years. Additionally, this study was the 1st to examine whether changes in cognitive reactivity and mood reactivity

  2. Relationship between Maternal General and Specific-Pregnancy Stress, Anxiety, and Depression Symptoms and Pregnancy Outcome.

    Science.gov (United States)

    Hasanjanzadeh, Parvin; Faramarzi, Mahbobeh

    2017-04-01

    Despite scientific advances in the field of physical problems during pregnancy, the effect of mental problems on the health of pregnant women is still an important issue that needs further research. To determine the association of symptoms of stress, anxiety and depression during pregnancy and there effect on the pregnancy outcome. This was a descriptive correlational study. The population included 200 pregnant women of the urban and rural health centers affiliated with Babol University of Medical Sciences. There were 100 each in second and third trimester. Convenience multi stage cluster sampling was performed. Data collection was received through the Hospital Anxiety Depression Scale (HADS), Pregnancy Distress Questionnaire (PDQ), and Perceived Stress Scale (PSS-14) questionnaires. The correlation results showed a significant difference between variables of depression, stress, and anxiety with birth weight, birth height and head circumference and infants' APGAR score (prelationships on prediction of infant weight (B=-0.324), anxiety on prediction of infant height (B=-0.197), stress on prediction of head circumference (B=-0.350) and depression on prediction of APGAR score (B=-0.323) are effective (pdepression, anxiety and stress in pregnancy, and scheduling to avoid adverse consequences of the pregnancy outcome.

  3. Association between anxiety and depression in patients with acute coronary syndromes due to financial crisis.

    Science.gov (United States)

    Lampropoulos, Kostandinos; Kavvouras, Charalampos; Megalou, Aikaterini; Tsikouri, Pinelopi; Kafkala, Chrysanthi; Derka, Dimitra; Bonou, Maria; Barbetseas, John

    2016-01-01

    The effect of anxiety and depression on patients with acute coronary syndromes (ACS) warrants investigation, especially during periods of economic crisis. To investigate the relation between anxiety and depression in patients presenting with ACS due to financial crisis and to investigate whether these two entities could predict long-term cardiovascular mortality. Anxiety and depression symptoms were assessed in 350 patients (210 men) presenting with ACS, with 70 (20%) patients showing elevated scores (Hellenic Heart Failure Protocol). Over a mean follow-up of 48 months there were 36 (10%) cardiovascular deaths. Cox proportional hazards models adjusted for other prognostic factors (including age, sex, marital status, creatinine levels, left ventricular ejection fraction, heart failure, atrial fibrillation, previous hospitalisation, and baseline medications) showed that elevated anxiety and depression scores significantly predicted cardiovascular mortality (primary outcome) and all-cause mortality. Elevated anxiety and depression symptoms are related to cardiovascular mortality due probably to financial crisis, even after adjustment for other prognostic indicators in patients with ACS, who received optimised medical treatment.

  4. Depression Treatment Preferences in Older Primary Care Patients

    Science.gov (United States)

    Gum, Amber M.; Arean, Patricia A.; Hunkeler, Enid; Tang, Lingqi; Katon, Wayne; Hitchcock, Polly; Steffens, David C.; Dickens, Jeanne; Unutzer, Jurgen

    2006-01-01

    Purpose: For depressed older primary care patients, this study aimed to examine (a) characteristics associated with depression treatment preferences; (b) predictors of receiving preferred treatment; and (c) whether receiving preferred treatment predicted satisfaction and depression outcomes. Design and Methods: Data are from 1,602 depressed older…

  5. Depression and catastrophizing predict suicidal ideation in tertiary care patients with interstitial cystitis/bladder pain syndrome

    DEFF Research Database (Denmark)

    Tripp, Dean A; Nickel, J Curtis; Krsmanovic, Adrijana

    2016-01-01

    is the first to implicate multiple psychosocial risk factors over and above IC/BPS-specific symptoms and patient pain experience in SI in women with IC/BPS. Depression in particular is uniquely important in predicting suicidality. These results support a multidisciplinary, proactive approach to IC......Introduction: We sought to evaluate psychosocial factors as predictors of suicidal ideation (SI) in a tertiary care outpatient sample of women suffering from interstitial cystitis/bladder pain syndrome (IC/BPS). Methods: The patients are women managed at tertiary care centres (n=190). Controls were...... of psychosocial variables on patient SI. Results: Compared to 6% in healthy controls, 23% of patients endorsed SI in the past two weeks. Correlations between SI, depression, and catastrophizing across controls and cases show that for controls, SI is associated with greater pain (0.31; pdepression only...

  6. Emotion Regulation Protects Against Recurrence of Depressive Symptoms Following Inpatient Care for Major Depressive Disorder.

    Science.gov (United States)

    Ebert, David D; Hopfinger, Lisa; Bockting, Claudi L H; Berking, Matthias

    2017-11-01

    Relapse following response in psychotherapy for major depressive disorder (MDD) is a major concern. Emotion regulation (ER) has been discussed as a putative emerging and maintaining factor for depression. The purpose of the present study was to examine whether ER protects against recurrence of depression over and above residual symptoms of depression following inpatient care for MDD. ER skills (ERSQ-ES) and depression (HEALTH-49) were assessed in 193 patients with MDD (age, M = 47.4, SD = 9.6, 75.1% female, 100% Caucasian) at treatment discontinuation, 3 and 12 months after treatment. Multiple hierarchical regressions were used to examine general and specific ER as predictors of depressive symptoms at follow-ups. Higher general ER predicted lower depression over and beyond residual symptoms of depression at 3-month follow-up among treatment responders but not among treatment nonresponders. With regard to specific ER skills, readiness to confront and acceptance of undesired emotions predicted lower depressive symptoms beyond residual symptoms of depression 12 months, respectively 3 and 12 months after treatment. Findings of the present study indicate that targeting general ER might be more important for remitted and less important for nonremitted patients. Enhancing ER should hence be realized in a sequential treatment design, in which a continuation phase treatment with a specific focus on ER directly follows, once patients sufficiently responded to treatment. Acceptance of undesired emotion and readiness to confront situations that cue these emotions appear to be particularly important for protecting against recurrence of depression. Future research should clarify whether findings can be generalized to outpatient care. Copyright © 2017. Published by Elsevier Ltd.

  7. Analysis of syntax and word use to predict successful participation in guided self-help for anxiety and depression

    DEFF Research Database (Denmark)

    Zinken, Jörg; Zinken, Katarzyna; Wilson, J. Clare

    2010-01-01

    This study investigated whether an analysis of narrative style (word use and cross-clausal syntax) of patients with symptoms of generalised anxiety and depression disorders can help predict the likelihood of successful participation in guided self-help. Texts by 97 people who had made contact...... with a primary care mental health service were analysed. Outcome measures were completion of the guided self-help programme, and change in symptoms assessed by a standardised scale (CORE-OM). Regression analyses indicated that some aspects of participants' syntax helped to predict completion of the programme...

  8. Predicting Depression From Language-Based Emotion Dynamics: Longitudinal Analysis of Facebook and Twitter Status Updates

    Science.gov (United States)

    Kern, Margaret L; Fulcher, Ben D; Rickard, Nikki S

    2018-01-01

    Background Frequent expression of negative emotion words on social media has been linked to depression. However, metrics have relied on average values, not dynamic measures of emotional volatility. Objective The aim of this study was to report on the associations between depression severity and the variability (time-unstructured) and instability (time-structured) in emotion word expression on Facebook and Twitter across status updates. Methods Status updates and depression severity ratings of 29 Facebook users and 49 Twitter users were collected through the app MoodPrism. The average proportion of positive and negative emotion words used, within-person variability, and instability were computed. Results Negative emotion word instability was a significant predictor of greater depression severity on Facebook (rs(29)=.44, P=.02, 95% CI 0.09-0.69), even after controlling for the average proportion of negative emotion words used (partial rs(26)=.51, P=.006) and within-person variability (partial rs(26)=.49, P=.009). A different pattern emerged on Twitter where greater negative emotion word variability indicated lower depression severity (rs(49)=−.34, P=.01, 95% CI −0.58 to 0.09). Differences between Facebook and Twitter users in their emotion word patterns and psychological characteristics were also explored. Conclusions The findings suggest that negative emotion word instability may be a simple yet sensitive measure of time-structured variability, useful when screening for depression through social media, though its usefulness may depend on the social media platform. PMID:29739736

  9. Depressive Symptoms in College Women: Examining the Cumulative Effect of Childhood and Adulthood Domestic Violence.

    Science.gov (United States)

    Al-Modallal, Hanan

    2016-10-01

    The purpose of this study was to examine the cumulative effect of childhood and adulthood violence on depressive symptoms in a sample of Jordanian college women. Snowball sampling technique was used to recruit the participants. The participants were heterosexual college-aged women between the ages of 18 and 25. The participants were asked about their experiences of childhood violence (including physical violence, sexual violence, psychological violence, and witnessing parental violence), partner violence (including physical partner violence and sexual partner violence), experiences of depressive symptoms, and about other demographic and familial factors as possible predictors for their complaints of depressive symptoms. Multiple linear regression analysis was implemented to identify demographic- and violence-related predictors of their complainants of depressive symptoms. Logistic regression analysis was further performed to identify possible type(s) of violence associated with the increased risk of depressive symptoms. The prevalence of depressive symptoms in this sample was 47.4%. For the violence experience, witnessing parental violence was the most common during childhood, experienced by 40 (41.2%) women, and physical partner violence was the most common in adulthood, experienced by 35 (36.1%) women. Results of logistic regression analysis indicated that experiencing two types of violence (regardless of the time of occurrence) was significant in predicting depressive symptoms (odds ratio [OR] = 3.45, p < .05). Among college women's demographic characteristics, marital status (single vs. engaged), mothers' level of education, income, and smoking were significant in predicting depressive symptoms. Assessment of physical violence and depressive symptoms including the cumulative impact of longer periods of violence on depressive symptoms is recommended to be explored in future studies. © The Author(s) 2015.

  10. Predicting placebo response in adolescents with major depressive disorder: The Adolescent Placebo Impact Composite Score (APICS).

    Science.gov (United States)

    Nakonezny, Paul A; Mayes, Taryn L; Byerly, Matthew J; Emslie, Graham J

    2015-09-01

    The aim of this study was to construct a composite scoring system to predict the probability of placebo response in adolescents with Major Depressive Disorder (MDD). Participants of the current study were 151 adolescents (aged 12-17 years) who were randomized to the placebo arm (placebo transdermal patches) of a randomized controlled trial (RCT) comparing the selegiline transdermal patch with placebo (DelBello et al., 2014). The primary outcome of response was defined as a CGI-I score of 1 or 2 (very much or much improved) at week 12 (study-end) or exit. As a first step, a multiple logistic mixed model was used to estimate the odds of placebo response from each predictor in the model, including age, CDRS-R total at baseline (depressive symptom severity), history of recurrent depression (yes vs. no), sex (female vs. male), and race (non-Caucasian vs. Caucasian). On the basis of the initial logistic mixed model analysis, we then constructed an Adolescent Placebo Impact Composite Score (APICS) that became the sole predictor in a re-specified Bayesian logistic regression model to estimate the probability of placebo response. Finally, the AUC for the APICS was tested against a nominal area of 0.50 to evaluate how well the APICS discriminated placebo response status. Among the 151 adolescents, with a mean age of 14.6 years (SD = 1.6) and a mean baseline CDRS-R total of 60.6 (SD = 12.1), 68.2% were females, 50.3% was Caucasian, and 39.7% had a history of recurrent depression. Placebo response rate was 58.3%. Based on the logistic mixed model, the re-specified equation with the highest discriminatory ability to estimate the probability of placebo response was APICS = age + (0.32 × CDRS-R Total at baseline) + (-2.85 × if female) + (-5.50 × if history of recurrent depression) + (-5.85 × if non-Caucasian). The AUC for this model was 0.59 (p = .049). Within a Bayesian decision-theoretic framework, in 95.5% of the time, the 10,000 posterior Monte Carlo samples suggested

  11. Insomnia and incident depression: role of objective sleep duration and natural history.

    Science.gov (United States)

    Fernandez-Mendoza, Julio; Shea, Sarah; Vgontzas, Alexandros N; Calhoun, Susan L; Liao, Duanping; Bixler, Edward O

    2015-08-01

    Longitudinal studies that have examined the association of insomnia with incident depression using objective sleep measures are very limited. The aim of this study was to examine the predictive role of the severity of insomnia for incident depression in a general population sample using psychometric and polysomnographic data. From a random, general population sample of 1741 individuals of the Penn State Adult Cohort, 1137 adults without depression were followed up with a structured telephone interview after 7.5 years. All subjects completed a full medical evaluation, 1-night polysomnogram and Multiphasic Minnesota Personality Inventory at baseline. The incidence of depression was 15%. Poor sleep (odds ratio = 1.5, P = 0.001) and insomnia (odds ratio = 1.9, P = 0.031) were significantly associated with incident depression. The odds of incident depression were highest (odds ratio = 2.2, P = 0.019) in insomnia with objective short sleep duration and independent of Multiphasic Minnesota Personality Inventory Ego Strength scores, an index of poor coping resources. The persistence of insomnia and worsening of poor sleep into insomnia significantly increased the odds of incident depression (odds ratios ranged from 1.8 to 6.3), whereas their full remission did not (odds ratio ranged from 1.2 to 1.8). Insomnia with short sleep duration is associated with incident depression independent of poor coping resources, whereas the association of insomnia with normal sleep duration with incident depression was mediated by poor coping resources. Persistence and worsening of poor sleep or insomnia, but not their full remission, are significant predictors of incident depression. These data suggest that there is a significant relationship between the severity of insomnia and incident depression. © 2015 European Sleep Research Society.

  12. Attributional Models of Depression and Marital Distress.

    Science.gov (United States)

    Horneffer, Karen J.; Fincham, Frank D.

    1996-01-01

    Compares attributional models presented in depression and marital literatures by examining simultaneously their prediction of depressive symptoms and marital distress with 150 married couples. Findings show that a model including paths from depressogenic and distress-maintaining marital attributions to both depressive symptoms and marital distress…

  13. The mediational significance of negative/depressive affect in the relationship of childhood maltreatment and eating disorder features in adolescent psychiatric inpatients.

    Science.gov (United States)

    Hopwood, C J; Ansell, E B; Fehon, D C; Grilo, C M

    2011-03-01

    Childhood maltreatment is a risk factor for eating disorder and negative/depressive affect appears to mediate this relation. However, the specific elements of eating- and body-related psychopathology that are influenced by various forms of childhood maltreatment remain unclear, and investigations among adolescents and men/boys have been limited. This study investigated the mediating role of negative affect/depression across multiple types of childhood maltreatment and eating disorder features in hospitalized adolescent boys and girls. Participants were 148 adolescent psychiatric inpatients who completed an assessment battery including measures of specific forms of childhood maltreatment (sexual, emotional, and physical abuse), negative/depressive affect, and eating disorder features (dietary restriction, binge eating, and body dissatisfaction). Findings suggest that for girls, negative/depressive affect significantly mediates the relationships between childhood maltreatment and eating disorder psychopathology, although effects varied somewhat across types of maltreatment and eating disorder features. Generalization of mediation effects to boys was limited.

  14. Impaired cognition in depression and Alzheimer (AD: a gradient from depression to depression in AD

    Directory of Open Access Journals (Sweden)

    Narahyana Bom de Araujo

    2014-09-01

    Full Text Available Objective To assess cognition in major depressed (MD, Alzheimer's disease (AD, and depression in AD elderly. Method Subjects were evaluated by Mini Mental, Rey Auditory Verbal Learning Test, Rey Complex Figure, Digit Span, Similarities, Trail Making A/B, Verbal Fluency and Stroop. One-way ANOVA and multivariate models were used to compare the performance of each group on neuropsychological tests. Results We evaluated 212 subjects. Compared to MD, attention, working memory, processing speed and recall showed significantly better in controls. Controls showed significantly higher performance in all cognitive measures, except in attention compared to AD. Verbal fluency, memory, processing speed and abstract reasoning in MD was significantly higher compared to AD. AD was significantly better in general cognitive state than depression in AD. All other cognitive domains were similar. Conclusion A decreasing gradient in cognition appeared from the control to depression in AD, with MD and AD in an intermediate position.

  15. Prevalence and Associated Factors of Depressive Symptoms among Chinese Underground Coal Miners

    Directory of Open Access Journals (Sweden)

    Li Liu

    2014-01-01

    Full Text Available Although underground coal miners are quite susceptible to depressive symptoms due to a highly risky and stressful working environment, few studies have focused on this issue. The purpose of the study was to evaluate the prevalence of depressive symptoms and to explore its associated factors in this population. A cross-sectional survey was conducted in a coal-mining population in northeast China. A set of self-administered questionnaires was distributed to 2500 underground coal miners (1,936 effective respondents. Depressive symptoms, effort-reward imbalance (ERI, overcommitment (OC, perceived physical environment (PPE, work-family conflict (WFC, and some demographic and working characteristics were measured anonymously. The prevalence of depressive symptoms was 62.8%, and the mean level was 20.00 (9.99. Hierarchical linear regression showed that marital status, education, monthly income, and weekly working time were significantly associated with depressive symptoms. A high level of depressive symptoms was significantly associated with high ERI, PPE, WFC, and OC. Accordingly, most Chinese underground coal miners probably have depressive symptoms that are mainly predicted by some occupational psychosocial factors. Efforts should be made to develop strategies to reduce ERI and OC, improve physical working environment, and care for workers’ family well-being, thereby mitigating the risk of depression among Chinese underground coal miners.

  16. Depression and suicide are natural kinds: implications for physician-assisted suicide.

    Science.gov (United States)

    Tsou, Jonathan Y

    2013-01-01

    In this article, I argue that depression and suicide are natural kinds insofar as they are classes of abnormal behavior underwritten by sets of stable biological mechanisms. In particular, depression and suicide are neurobiological kinds characterized by disturbances in serotonin functioning that affect various brain areas (i.e., the amygdala, anterior cingulate, prefrontal cortex, and hippocampus). The significance of this argument is that the natural (biological) basis of depression and suicide allows for reliable projectable inferences (i.e., predictions) to be made about individual members of a kind. In the context of assisted suicide, inferences about the decision-making capacity of depressed individuals seeking physician-assisted suicide are of special interest. I examine evidence that depression can hamper the decision-making capacity of individuals seeking assisted suicide and discuss some implications. Copyright © 2013 Elsevier Ltd. All rights reserved.

  17. The bi-directional relationship between parent-child conflict and treatment outcome in treatment-resistant adolescent depression.

    Science.gov (United States)

    Rengasamy, Manivel; Mansoor, Brandon M; Hilton, Robert; Porta, Giovanna; He, Jiayan; Emslie, Graham J; Mayes, Taryn; Clarke, Gregory N; Wagner, Karen Dineen; Keller, Martin B; Ryan, Neal D; Birmaher, Boris; Shamseddeen, Wael; Asarnow, Joan Rosenbaum; Brent, David A

    2013-04-01

    To examine the bidirectional relationship between parent-child discord and treatment outcome for adolescent treatment-resistant depression. Depressed youth who had not responded to an adequate course of a selective serotonin reuptake inhibitor (SSRI) were randomized to either a switch to another SSRI or venlafaxine, with or without the addition of cognitive behavior therapy (CBT) in the Treatment of SSRI-Resistant Depression in Adolescents (TORDIA) study. The Conflict Behavior Questionnaire was used to assess adolescent (CBQ-A) and parent-reported (CBQ-P) parent-child discord. The impact of remission on parent-child conflict, and the differential impact of medication and CBT on the CBQ-A and CBQ-P, were assessed using generalized linear models. Although there were no differential treatment effects on parent or adolescent-report of conflict, remission was associated with improvement in the CBQ-P. In general, intake family conflict did not predict remission, except in the sub-group of participants whose parents reported clinically significant parent-child conflict at intake, for whom high levels of parent-reported conflict predicted a lower likelihood of remission. Conflict also did not moderate treatment response. Remission of depression may be sufficient to reduce parent-reported parent-child conflict. However, higher parent-reported conflict, in the clinically significant range, predicts a lower likelihood of remission from depression. Clinical trial registration information-Treatment of SSRI-Resistant Depression in Adolescents (TORDIA); http://clinicaltrials.gov/; NCT00018902. Copyright © 2013 American Academy of Child & Adolescent Psychiatry. Published by Elsevier Inc. All rights reserved.

  18. Prevalence and predictors of parental grief and depression after the death of a child from cancer.

    Science.gov (United States)

    McCarthy, Maria C; Clarke, Naomi E; Ting, Cheng Lin; Conroy, Rowena; Anderson, Vicki A; Heath, John A

    2010-11-01

    To investigate patterns of grief and depression in a sample of parents whose child had died of cancer, and to examine factors related to burden of illness and end-of-life care as potential predictors of parental grief and depression outcomes. Fifty-eight parents completed standardized self-report questionnaires measuring prolonged grief disorder (Inventory of Complicated Grief-Revised [ICG-R]) and depression (Beck Depression Inventory-Second Edition [BDI-II]) and participated in structured interviews designed to elicit their perceptions of their child's end-of-life care and burden of illness. The majority of participants were mothers (84%) and the mean length of time since child death was 4.5 (standard deviation [SD] = 2.4) years (range, 1.0-9.8 years). Rates of prolonged grief disorder (PGD) were similar to those reported in other bereaved populations (10.3%); however, 41% of parents met diagnostic criteria for grief-related separation distress. Twenty-two percent of parents reported clinically significant depressive symptoms. Time since death and parental perception of the oncologist's care predicted parental grief symptoms but not depressive symptoms. Perceptions of the child's quality of life during the last month, preparedness for the child's death, and economic hardship also predicted grief and depression outcomes. A minority of parents met criteria for PGD and depression, however, almost half the sample was experiencing significant separation distress associated with persistent longing and yearning for their child. Time since death is a significant predictor of parental psychological distress. This study also highlights the importance of end-of-life factors in parents' long-term adjustment and the need for optimal palliative care to ensure the best possible outcomes for parents.

  19. Variations in and predictors of the occurrence of depressive symptoms and mood symptoms in multiple sclerosis: a longitudinal two-year study.

    Science.gov (United States)

    Johansson, Sverker; Gottberg, Kristina; Kierkegaard, Marie; Ytterberg, Charlotte

    2016-03-05

    There is limited knowledge regarding how depressive symptoms and a cluster of specific mood symptoms in people with multiple sclerosis (MS) vary over time and how they are influenced by contributing factors. Therefore, the aims of this study were a) to describe variations over 2 years in the occurrence of depressive symptoms and mood symptoms in a sample of people with MS, and b) to investigate the predictive value of sex, age, coping capacity, work status, disease severity, disease course, fatigue, cognition, frequency of social/lifestyle activities, and perceived impact of MS on health, on the occurrence of depressive symptoms and mood symptoms. Through using a protocol of measures of functioning and perceived impact of MS on health, comprising of the Beck Depression Inventory, 219 people with MS were assessed at 0, 12 and 24 months. Predictive values were explored with Generalised Estimating Equations. Proportions with depressive symptoms varied significantly (p < 0.001) from 21 to 30% between the three time points. Proportions with mood symptoms varied significantly (p < 0.001) from 14 to 17% between the three time points. Weak coping capacity and reduced frequency of social/lifestyle activities predicted the occurrence of depressive symptoms and mood symptoms, as did the psychological impact of MS on health in interaction with time. For people with MS of working age, not working predicted the occurrence of depressive symptoms and mood symptoms, as did the physical impact of MS on health on the occurrence of mood symptoms. The occurrence of depressive symptoms and mood symptoms in people with MS vary over a 2-year time period; almost half have depressive symptoms at least once. Health care services should develop strategies aimed at identifying people with MS who are depressed or who develop depressive symptoms. Interventions for alleviating depressive symptoms should consider the individual's coping capacity and perceived impact of MS on health, and

  20. Contribution of attachment insecurity to health-related quality of life in depressed patients.

    Science.gov (United States)

    Ponizovsky, Alexander M; Drannikov, Angela

    2013-06-22

    To examine the individual contributions of insecure attachment styles and depression symptom severity to health-related quality of life (HRQoL) in patients diagnosed with adjustment disorder (AJD) with depressed mood. Participants were 67 patients diagnosed with International Classification of Diseases, Tenth edition AJD with depressed mood, who completed standardised self-report questionnaires measuring study variables. Mean scores and SDs were computed for the outcome and predictor measures. Pearson correlations among the measures were computed. The study hypotheses were tested using analysis of variance (ANOVA) and multiple regression analyses. All analyses were performed using the SPSS-17 software package (SPSS Inc., Chicago, IL, United States). ANOVA showed a significant main effect of the insecure attachment styles on depression symptom severity and life satisfaction scores. The results suggest that depressive symptoms were more severe (F = 4.13, df = 2.67, P insecure groups did not significantly differ by these variables. The anxious/ambivalent attachment style and depression symptom severity significantly contributed to HRQoL, accounting for 21.4% and 29.7% of the total variance, respectively [R(2) = 0.79; Adjusted R(2) = 0.77; F (5, 67) = 33.68, P < 0.0001], even after controlling for gender, marital and employment status confounders. The results show that the anxious/ambivalent attachment style together with depression symptom severity substantially and independently predict the HRQoL outcome in AJD with depressed mood.

  1. Cognitive-behavioral therapy (CBT) versus acceptance and commitment therapy (ACT) for dementia family caregivers with significant depressive symptoms: Results of a randomized clinical trial.

    Science.gov (United States)

    Losada, Andrés; Márquez-González, María; Romero-Moreno, Rosa; Mausbach, Brent T; López, Javier; Fernández-Fernández, Virginia; Nogales-González, Celia

    2015-08-01

    The differential efficacy of acceptance and commitment therapy (ACT) and cognitive-behavioral therapy (CBT) for dementia family caregivers' is analyzed through a randomized controlled trial. Participants were 135 caregivers with high depressive symptomatology who were randomly allocated to the intervention conditions or a control group (CG). Pre-, postintervention, and follow-up measurements assessed depressive symptomatology, anxiety, leisure, dysfunctional thoughts, and experiential avoidance. Depression: Significant effects of interventions compared with CG were found for CBT (p dementia caregivers. (c) 2015 APA, all rights reserved).

  2. Do major depressive disorder and dysthymic disorder confer differential risk for suicide?

    Science.gov (United States)

    Witte, Tracy K; Timmons, Katherine A; Fink, Erin; Smith, April R; Joiner, Thomas E

    2009-05-01

    Although there has been a tremendous amount of research examining the risk conferred for suicide by depression in general, relatively little research examines the risk conferred by specific forms of depressive illness (e.g., dysthymic disorder, single episode versus recurrent major depressive disorder [MDD]). The purpose of the current study was to examine differences in suicidal ideation, clinician-rated suicide risk, suicide attempts, and family history of suicide in a sample of outpatients diagnosed with various forms of depressive illness. To accomplish this aim, we conducted a cluster analysis using the aforementioned suicide-related variables in a sample of 494 outpatients seen between January 2001 and July 2007 at the Florida State University Psychology Clinic. Patients were diagnosed using DSM-IV criteria. Two distinct clusters emerged that were indicative of lower and higher risk for suicide. After controlling for the number of comorbid Axis I and Axis II diagnoses, the only depressive illness that significantly predicted cluster membership was recurrent MDD, which tripled an individual's likelihood of being assigned to the higher risk cluster. The use of a cross-sectional design; the relatively low suicide risk in our sample; the relatively small number of individuals with double depression. Our results demonstrate the importance of both chronicity and severity of depression in terms of predicting increased suicide risk. Among the various forms of depressive illness examined, only recurrent MDD appeared to confer greater risk for suicide.

  3. Transdiagnostic assessment of repetitive negative thinking and responses to positive affect: Structure and predictive utility for depression, anxiety, and mania symptoms.

    Science.gov (United States)

    McEvoy, Peter M; Hyett, Matthew P; Ehring, Thomas; Johnson, Sheri L; Samtani, Suraj; Anderson, Rebecca; Moulds, Michelle L

    2018-05-01

    Repetitive negative thinking (RNT) is a cognitive process that is repetitive, passive, relatively uncontrollable, and focused on negative content, and is elevated in emotional disorders including depression and anxiety disorders. Repetitive positive thinking is associated with bipolar disorder symptoms. The unique contributions of positive versus negative repetitive thinking to emotional symptoms are unknown. The first aim of this study was to use confirmatory factor analyses to evaluate the psychometrics of two transdiagnostic measures of RNT, the Repetitive Thinking Questionnaire (RTQ-10) and Perseverative Thinking Questionnaire (PTQ), and a measure of repetitive positive thinking, the Responses to Positive Affect (RPA) Questionnaire. The second aim was to determine incremental predictive utility of these measures. All measures were administered to a sample of 2088 undergraduate students from the Netherlands (n = 992), Australia (n = 698), and America (n = 398). Unidimensional, bifactor, and three-factor models were supported for the RTQ-10, PTQ, and RPA, respectively. A common factor measured by all PTQ items explained most variance in PTQ scores suggesting that this measure is essentially unidimensional. The RNT factor of the RTQ-10 demonstrated the strongest predictive utility, although the PTQ was also uniquely although weakly associated with anxiety, depression, and mania symptoms. The RPA dampening factor uniquely predicted anxiety and depression symptoms, suggesting that this scale is a separable process to RNT as measured by the RTQ-10 and PTQ. Findings were cross-sectional and need to be replicated in clinical samples. Transdiagnostic measures of RNT are essentially unidimensional, whereas RPA is multidimensional. RNT and RPA have unique predictive utility. Copyright © 2018 Elsevier B.V. All rights reserved.

  4. A Structural Model of Depression Based on Interpersonal Relationships: The Mediating Role of Coping Strategies and Loneliness.

    Science.gov (United States)

    Majd Ara, Elahe; Talepasand, Siavash; Rezaei, Ali Mohammad

    2017-06-01

    The present study was conducted with the aim of examining the structural model of interpersonal relationships and depression using coping strategies and loneliness as mediators. Using multistage random sampling, 301 high-school students were selected from Minudasht city, Iran. The participants were aksed to complete the Network of Relationships Inventory (NRI); the Ways of Coping Questionnaire (Lazarus and Folkman); the Children's Loneliness Scale (CLS); and the Depression, Anxiety, and Stress Scale (DASS-21). Structural equation modeling was used to examine the pattern of direct and indirect effects. Findings of the present study show that the data are well fitted to the model. The indirect effect of the positive quality of relationships was significant on depression through loneliness. Moreover, the indirect effects of the negative quality of relationships on depression through loneliness and through emotion-focused coping strategies were statistically significant. Although the effect of loneliness and emotion-focused coping strategies on depression was significant, problem-focused coping strategies did not have a significant effect on depression. Additionally, the findings suggested that the indirect effect through loneliness on depression was stronger compared with the indirect effect through emotion-focused coping strategies. The positive or negative quality of interpersonal relationships, loneliness, and emotion-focused coping strategy can significantly predict depression.

  5. Major depression in mothers predict reduced ventral striatum activation in adolescent female offspring with and without depression

    Science.gov (United States)

    Prior research has identified reduced reward-related brain activation as a promising endophenotype for the early identification of adolescents with major depressive disorder. However, it is unclear whether reduced reward-related brain activation constitutes a true vulnerability for major depressive ...

  6. Plasma Metabolites Predict Severity of Depression and Suicidal Ideation in Psychiatric Patients-A Multicenter Pilot Analysis.

    Science.gov (United States)

    Setoyama, Daiki; Kato, Takahiro A; Hashimoto, Ryota; Kunugi, Hiroshi; Hattori, Kotaro; Hayakawa, Kohei; Sato-Kasai, Mina; Shimokawa, Norihiro; Kaneko, Sachie; Yoshida, Sumiko; Goto, Yu-Ichi; Yasuda, Yuka; Yamamori, Hidenaga; Ohgidani, Masahiro; Sagata, Noriaki; Miura, Daisuke; Kang, Dongchon; Kanba, Shigenobu

    2016-01-01

    Evaluating the severity of depression (SOD), especially suicidal ideation (SI), is crucial in the treatment of not only patients with mood disorders but also psychiatric patients in general. SOD has been assessed on interviews such as the Hamilton Rating Scale for Depression (HAMD)-17, and/or self-administered questionnaires such as the Patient Health Questionnaire (PHQ)-9. However, these evaluation systems have relied on a person's subjective information, which sometimes lead to difficulties in clinical settings. To resolve this limitation, a more objective SOD evaluation system is needed. Herein, we collected clinical data including HAMD-17/PHQ-9 and blood plasma of psychiatric patients from three independent clinical centers. We performed metabolome analysis of blood plasma using liquid chromatography mass spectrometry (LC-MS), and 123 metabolites were detected. Interestingly, five plasma metabolites (3-hydroxybutyrate (3HB), betaine, citrate, creatinine, and gamma-aminobutyric acid (GABA)) are commonly associated with SOD in all three independent cohort sets regardless of the presence or absence of medication and diagnostic difference. In addition, we have shown several metabolites are independently associated with sub-symptoms of depression including SI. We successfully created a classification model to discriminate depressive patients with or without SI by machine learning technique. Finally, we produced a pilot algorithm to predict a grade of SI with citrate and kynurenine. The above metabolites may have strongly been associated with the underlying novel biological pathophysiology of SOD. We should explore the biological impact of these metabolites on depressive symptoms by utilizing a cross species study model with human and rodents. The present multicenter pilot study offers a potential utility for measuring blood metabolites as a novel objective tool for not only assessing SOD but also evaluating therapeutic efficacy in clinical practice. In addition

  7. Plasma Metabolites Predict Severity of Depression and Suicidal Ideation in Psychiatric Patients-A Multicenter Pilot Analysis.

    Directory of Open Access Journals (Sweden)

    Daiki Setoyama

    Full Text Available Evaluating the severity of depression (SOD, especially suicidal ideation (SI, is crucial in the treatment of not only patients with mood disorders but also psychiatric patients in general. SOD has been assessed on interviews such as the Hamilton Rating Scale for Depression (HAMD-17, and/or self-administered questionnaires such as the Patient Health Questionnaire (PHQ-9. However, these evaluation systems have relied on a person's subjective information, which sometimes lead to difficulties in clinical settings. To resolve this limitation, a more objective SOD evaluation system is needed. Herein, we collected clinical data including HAMD-17/PHQ-9 and blood plasma of psychiatric patients from three independent clinical centers. We performed metabolome analysis of blood plasma using liquid chromatography mass spectrometry (LC-MS, and 123 metabolites were detected. Interestingly, five plasma metabolites (3-hydroxybutyrate (3HB, betaine, citrate, creatinine, and gamma-aminobutyric acid (GABA are commonly associated with SOD in all three independent cohort sets regardless of the presence or absence of medication and diagnostic difference. In addition, we have shown several metabolites are independently associated with sub-symptoms of depression including SI. We successfully created a classification model to discriminate depressive patients with or without SI by machine learning technique. Finally, we produced a pilot algorithm to predict a grade of SI with citrate and kynurenine. The above metabolites may have strongly been associated with the underlying novel biological pathophysiology of SOD. We should explore the biological impact of these metabolites on depressive symptoms by utilizing a cross species study model with human and rodents. The present multicenter pilot study offers a potential utility for measuring blood metabolites as a novel objective tool for not only assessing SOD but also evaluating therapeutic efficacy in clinical practice. In

  8. Gilles de la Tourette Syndrome, Depression, Depressive Illness, and Correlates in a Child and Adolescent Population.

    Science.gov (United States)

    Rizzo, Renata; Gulisano, Mariangela; Martino, Davide; Robertson, Mary May

    2017-04-01

    Gilles de la Tourette syndrome (GTS) and depression are both common disorders. It has been suggested that depression occurs in 13%-76% GTS patients. Despite this, there are few studies into the specific relationships and correlates between the two disorders. There is only some consensus as to the precise relationship between the two disorders. We undertook the study to investigate the relationship between depressive symptomatology and the core clinical features of GTS in a well-characterized clinical population of youth with this disorder. Our aim was to verify the association between depression and comorbid obsessive-compulsive disorder and explore further other potential associations highlighted in some, but not all, of the studies focused on this topic. Our results demonstrated that (1) the GTS patients were significantly older than the controls, (2) the GTS patients were significantly more depressed than controls, (3) depression was associated with tic severity, (4) the Diagnostic Confidence Index scores were higher in GTS patients without depression, (5) anxiety, attention-deficit/hyperactivity disorder (ADHD), conduct disorder (CD), and behavioral problems were significantly associated with depression, and (6) finally, patients with GTS and depression have a positive family history of depression. However, obsessionality (CY-BOCS) did not differentiate between depressed and not depressed GTS patients. Depression is common in patients with GTS and occurs significantly more in GTS than in controls. Depression is significantly associated with GTS factors such as tic severity, comorbidity with ADHD, and the presence of coexistent anxiety, CDs, and behavior problems. Depression is importantly significantly associated with a positive family history of depression. Intriguingly, depression in our sample was not related to obsessionality.

  9. Factors affecting stigma toward suicide and depression: A Korean nationwide study.

    Science.gov (United States)

    Park, Soowon; Kim, Min-Ji; Cho, Maeng Je; Lee, Jun-Young

    2015-12-01

    Suicide attempts and depression are considerably misunderstood by Korean society. Studies regarding factors should provide basic information concerning the factors that should be considered when examining stigmatization. This study aimed to investigate sociodemographic factors related to the social stigma toward people with a history of suicide attempts or depression in a Korean nationwide community sample. Face-to-face interviews were conducted with participants selected via a multi-stage cluster sampling method; 779 respondents completed Link's Perceived Devaluation and Discrimination (PDD) scale to assess the social stigma they attached to suicide attempts, and another 743 completed PDD scale to assess the social stigma they attached to depression. Multiple regression analysis, including socioeconomic and psychiatric variables, was performed to identify the factors predictive of social stigma. Results of multiple regressions revealed that age (β = .12, p = .018), sex (β = .08, p = .038), years of education (β = -.31, p = .006) and history of suicide attempts (β = -.11, p = .009) significantly predicted the degree of stigma toward people who had made suicide attempts, whereas age (β = .15, p = .003) and education (β = -.40, p = .001) also predicted the social stigma toward people with depression, sex and history of a depressive episode did not. Older men with less education and no experience with suicide perceived suicide attempts more negatively. Similarly, older people with less education placed a greater stigma on people suffering from depression. These results suggest that greater access to higher education may reduce stigma toward people with mental illness. © The Author(s) 2015.

  10. Loneliness, depression and cognitive function in older U.S. adults.

    Science.gov (United States)

    Donovan, Nancy J; Wu, Qiong; Rentz, Dorene M; Sperling, Reisa A; Marshall, Gad A; Glymour, M Maria

    2017-05-01

    To examine reciprocal relations of loneliness and cognitive function in older adults. Data were analyzed from 8382 men and women, age 65 and older, participating in the US Health and Retirement Study from 1998 to 2010. Participants underwent biennial assessments of loneliness and depression (classified as no, low or high depression) determined by the Center for Epidemiologic Studies Depression scale (8-item version), cognition (a derived memory score based on a word list memory task and proxy-rated memory and global cognitive function), health status and social and demographic characteristics from 1998 to 2010. We used repeated measures analysis to examine the reciprocal relations of loneliness and cognitive function in separate models controlling sequentially and cumulatively for socio-demographic factors, social network, health conditions and depression. Loneliness at baseline predicted accelerated cognitive decline over 12 years independent of baseline socio-demographic factors, social network, health conditions and depression (β = -0.2, p = 0.002). After adjustment for depression interacting with time, both low and high depression categories were related to faster cognitive decline and the estimated effect of loneliness became marginally significant. Reciprocally, poorer cognition at baseline was associated with greater odds of loneliness over time in adjusted analyses (OR 1.3, 95% CI (1.1-1.5) p = 0.005), but not when controlling for baseline depression. Furthermore, cognition did not predict change in loneliness over time. Examining longitudinal data across a broad range of cognitive abilities, loneliness and depressive symptoms appear to be related risk factors for worsening cognition but low cognitive function does not lead to worsening loneliness over time. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

  11. The relationship of impulsivity and cortical thickness in depressed and non-depressed adolescents.

    Science.gov (United States)

    Fradkin, Yuli; Khadka, Sabin; Bessette, Katie L; Stevens, Michael C

    2017-10-01

    Major Depressive Disorder (MDD) is recognized to be heterogeneous in terms of brain structure abnormality findings across studies, which might reflect previously unstudied traits that confer variability to neuroimaging measurements. The purpose of this study was to examine the relationships between different types of trait impulsivity and MDD diagnosis on adolescent brain structure. We predicted that adolescents with depression who were high on trait impulsivity would have more abnormal cortical structure than depressed patients or non-MDD who were low on impulsivity. We recruited 58 subjects, including 29 adolescents (ages 12-19) with a primary DSM-IV diagnosis of MDD and a history of suicide attempt and 29 demographically-matched healthy control participants. Our GLM-based analyses sought to describe differences in the linear relationships between cortical thickness and impulsivity trait levels. As hypothesized, we found significant moderation effects in rostral middle frontal gyrus and right paracentral lobule cortical thickness for different subscales of the Barratt Impulsiveness Scale. However, although these brain-behavior relationships differed between diagnostic study groups, they were not simple additive effects as we had predicted. For the middle frontal gyrus, non-MDD participants showed a strong positive association between cortical thickness and BIS-11 Motor scores, while MDD-diagnosed participants showed a negative association. For Non-Planning Impulsiveness, paracentral lobule cortical thickness was observed with greater impulsivity in MDD, but no association was found for controls. In conclusion, the findings confirm that dimensions of impulsivity have discrete neural correlates, and show that relationships between impulsivity and brain structure are expressed differently in adolescents with MDD compared to non-MDD.

  12. Narrative Changes Predict a Decrease in Symptoms in CBT for Depression: An Exploratory Study.

    Science.gov (United States)

    Gonçalves, Miguel M; Silva, Joana Ribeiro; Mendes, Inês; Rosa, Catarina; Ribeiro, António P; Batista, João; Sousa, Inês; Fernandes, Carlos F

    2017-07-01

    Innovative moments (IMs) are new and more adjusted ways of thinking, acting, feeling and relating that emerge during psychotherapy. Previous research on IMs has provided sustainable evidence that IMs differentiate recovered from unchanged psychotherapy cases. However, studies with cognitive behavioural therapy (CBT) are so far absent. The present study tests whether IMs can be reliably identified in CBT and examines if IMs and symptoms' improvement are associated. The following variables were assessed in each session from a sample of six cases of CBT for depression (a total of 111 sessions): (a) symptomatology outcomes (Outcome Questionnaire-OQ-10) and (b) IMs. Two hierarchical linear models were used: one to test whether IMs predicted a symptom decrease in the next session and a second one to test whether symptoms in one session predicted the emergence of IMs in the next session. Innovative moments were better predictors of symptom decrease than the reverse. A higher proportion of a specific type of IMs-reflection 2-in one session predicted a decrease in symptoms in the next session. Thus, when clients further elaborated this type of IM (in which clients describe positive contrasts or elaborate on changes processes), a reduction in symptoms was observed in the next session. A higher expression and elaboration of reflection 2 IMs appear to have a facilitative function in the reduction of depressive symptoms in this sample of CBT. Copyright © 2016 John Wiley & Sons, Ltd. Elaborating innovative moments (IMs) that are new ways of thinking, feeling, behaving and relating, in the therapeutic dialogue, may facilitate change. IMs that are more predictive of amelioration of symptoms in CBT are the ones focused on contrasts between former problematic patterns and new adjusted ones; and the ones in which the clients elaborate on processes of change. Therapists may integrate these kinds of questions (centred on contrasts and centred on what allowed change from the client

  13. The Specific Role of Relationship Life Events in the Onset of Depression during Pregnancy and the Postpartum.

    Directory of Open Access Journals (Sweden)

    Nicola Wright

    Full Text Available The precipitating role of life events in the onset of depression is well-established. The present study sought to examine whether life events hypothesised to be personally salient would be more strongly associated with depression than other life events. In a sample of women making the first transition to parenthood, we hypothesised that negative events related to the partner relationship would be particularly salient and thus more strongly predictive of depression than other events.A community-based sample of 316 first-time mothers stratified by psychosocial risk completed interviews at 32 weeks gestation and 29 weeks postpartum to assess dated occurrence of life events and depression onsets from conception to 29 weeks postpartum. Complete data was available from 273 (86.4%. Cox proportional hazards regression was used to examine risk for onset of depression in the 6 months following a relationship event versus other events, after accounting for past history of depression and other potential confounders.52 women (19.0% experienced an onset of depression between conception and 6 months postpartum. Both relationship events (Hazard Ratio = 2.1, p = .001 and other life events (Hazard Ratio = 1.3, p = .020 were associated with increased risk for depression onset; however, relationship events showed a significantly greater risk for depression than did other life events (p = .044.The results are consistent with the hypothesis that personally salient events are more predictive of depression onset than other events. Further, they indicate the clinical significance of events related to the partner relationship during pregnancy and the postpartum.

  14. Familial and temperamental predictors of resilience in children at risk for conduct disorder and depression

    Science.gov (United States)

    Shannon, Katherine E.; Beauchaine, Theodore P.; Brenner, Sharon L.; Neuhaus, Emily; Gatzke-Kopp, Lisa

    2009-01-01

    In this study, we evaluated predictors of resilience among 8- to 12-year-old children recruited from primarily low socioeconomic status neighborhoods, 117 of whom suffered from clinical levels of conduct problems and/or depression, and 63 of whom suffered from no significant symptoms. Tests of interactions were conducted between (a) paternal antisocial behavior and maternal depression and (b) several physiological indices of child temperament and emotionality in predicting (c) children’s conduct problems and depression. Both internalizing and externalizing outcomes among children were associated specifically with maternal melancholic depression, and not with nonmelancholic depression. In addition, low levels of respiratory sinus arrhythmia (RSA) among children conferred significant risk for depression, regardless of maternal melancholia, whereas high RSA offered partial protection. Furthermore, high levels of maternal melancholia conferred significant risk for child depression, regardless of paternal antisocial behavior, whereas low levels of maternal melancholia offered partial protection. Finally, low levels of electrodermal responding (EDR) conferred significant risk for conduct problems, regardless of paternal antisocial behavior, whereas high EDR offered partial protection. None of the identified protective factors offered complete immunity from psychopathology. These findings underscore the complexity of resilience and resilience-related processes, and suggest several potential avenues for future longitudinal research. PMID:17705899

  15. Comorbid Mild Cognitive Impairment and Depressive Symptoms Predict Future Dementia in Community Older Adults: A 24-Month Follow-Up Longitudinal Study.

    Science.gov (United States)

    Makizako, Hyuma; Shimada, Hiroyuki; Doi, Takehiko; Tsutsumimoto, Kota; Hotta, Ryo; Nakakubo, Sho; Makino, Keitaro; Suzuki, Takao

    2016-10-18

    Older adults with mild cognitive impairment (MCI) are non-demented, but demonstrate cognitive dysfunction, and have significantly higher risk of progressing to dementia. A better understanding of more sensitive risk factors, such as combination of cognitive and psychological status, for progression of MCI to dementia may be crucial for prevention of development of dementia. To examine MCI, depressive symptoms, and comorbid MCI and depressive symptoms as risk factors for development of dementia. A total of 3,663 community-dwelling older people were included in this prospective longitudinal study. MCI was determined by age- and education-adjusted objective cognitive impairment using computerized comprehensive cognitive measures including memory, attention/executive function, and processing speed. Depressive symptoms were measured using the 15-item Geriatric Depression Scale (GDS) and defined by a GDS score of 6 or more. During the 24-month follow-up period, 72 participants (2.0%) developed dementia. Baseline MCI was significantly associated with an increased risk of incident dementia (hazard ratio [HR], 3.2; 95% confidence interval [CI], 1.8-5.5) but depressive symptoms were not (2.0; 1.0-4.2) after adjusting for age, sex, education, prescribed medications, and walking speed. Participants with comorbid MCI and depressive symptoms at baseline had a higher risk of developing dementia (HR, 4.8; 2.3-10.5). Although MCI and depressive symptoms may be associated with increased risk for incident dementia independently, comorbid MCI and depressive symptoms have a significantly greater impact on dementia development among community-dwelling older adults.

  16. Familism Values, Family Time, and Mexican-Origin Young Adults’ Depressive Symptoms

    Science.gov (United States)

    Zeiders, Katharine H.; Updegraff, Kimberly A.; Umaña-Taylor, Adriana J.; McHale, Susan M.; Padilla, Jenny

    2015-01-01

    Using longitudinal data across eight years, this study examined how parents’ familism values in early adolescence predicted youths’ depressive symptoms in young adulthood via youths’ familism values and family time. We examined these processes among 246 Mexican-origin families using interview and phone-diary data. Findings revealed that fathers’ familism values predicted male and female youths’ familism values in middle adolescence. For female youth only, fathers’ familism values also predicted youths’ family time in late adolescence. The link between family time and young adults’ depressive symptoms depended on parental acceptance and adolescent gender: Among female and male youth, family time predicted fewer depressive symptoms, but only when paternal acceptance was high. For female adolescents only, family time predicted fewer depressive symptoms when maternal acceptance was high but more depressive symptoms when maternal acceptance was low. Findings highlight family dynamics as the mechanisms through which familism values have implications for youths’ adjustment. PMID:26778855

  17. Activation of cell-mediated immunity in depression: association with inflammation, melancholia, clinical staging and the fatigue and somatic symptom cluster of depression.

    Science.gov (United States)

    Maes, Michael; Mihaylova, Ivana; Kubera, Marta; Ringel, Karl

    2012-01-10

    Depression is characterized by activation of cell-mediated immunity (CMI), including increased neopterin levels, and increased pro-inflammatory cytokines (PICs), such as interleukin-1 (IL-1) and tumor necrosis factor-α (TNFα). These PICs may induce depressive, melancholic and chronic fatigue (CF) symptoms. We examined serum neopterin and plasma PIC levels in depressive subgroups in relation to the depressive subtypes and the melancholic and CF symptoms of depression. Participants were 85 patients with depression and in 26 normal controls. Severity of depression was assessed with the Hamilton Depression Rating Scale (HDRS) and severity of CF with the Fibromyalgia and Chronic Fatigue Syndrome (FF) Rating Scale. Serum neopterin was significantly higher in depressed patients and in particular in those with melancholia. There were positive correlations between serum neopterin, the plasma PICs and the number of previous depressive episodes. Neopterin and TNFα were associated with melancholia, while both PICs were associated with CF. Melancholia-group membership was predicted by the HDRS and neopterin, and CF group membership by age, the FF score and serum TNFα. Depression and melancholia are accompanied by CMI activation, suggesting that neopterin plays a role in their pathophysiology, e.g. through activation of oxidative and nitrosative stress and apoptosis pathways. The intertwined CMI and inflammatory responses are potentially associated with the onset of depression and with the melancholic and CF symptoms of depression. Exposure to previous depressive episodes may magnify the size of CMI and PIC responses, possibly increasing the likelihood of new depressive episodes. CMI activation and inflammation may contribute to the staging or recurrence of depression. Copyright © 2011 Elsevier Inc. All rights reserved.

  18. Negative perceptions of ageing predict the onset and persistence of depression and anxiety: Findings from a prospective analysis of the Irish Longitudinal Study on Ageing (TILDA).

    Science.gov (United States)

    Freeman, Aislinné Theresa; Santini, Ziggi Ivan; Tyrovolas, Stefanos; Rummel-Kluge, Christine; Haro, Josep Maria; Koyanagi, Ai

    2016-07-15

    Although there is a growing literature on the adverse health outcomes related with negative ageing perceptions, studies on their association with mental disorders such as depression and anxiety are scarce. Thus, the aim of the current study was to prospectively assess the association between negative ageing perceptions and incident/persistent depression and anxiety using nationally representative data from Ireland. Data from two consecutive waves of the Irish Longitudinal Study on Ageing (TILDA) were analysed. The analytical sample consisted of 6095 adults aged ≥50 years. Validated scales for negative ageing perceptions, depression, and anxiety were used. Multivariable logistic regression analyses were used to assess the association between negative ageing perceptions at baseline and the onset and persistence of depression and anxiety at two-year follow up. After adjusting for potential confounders, negative ageing perceptions at baseline predicted the new onset of depression and anxiety at follow-up. Among those with depression or anxiety at baseline, negative ageing perceptions also predicted the persistence of these conditions at follow-up. Baseline data on negative ageing perceptions were used for the analysis and it is possible that scores could have changed over time. Addressing negative perceptions towards ageing by developing interventions that activate positive ageing perceptions, and target societal attitudes by means of policy change, public campaigns, and community education programmes, may shift social perceptions and reduce the burden of depression and anxiety among the elderly. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

  19. Prognostic value of depression, anxiety, and anger in hospitalized cardiovascular disease patients for predicting adverse cardiac outcomes.

    Science.gov (United States)

    Nakamura, Shunichi; Kato, Koji; Yoshida, Asuka; Fukuma, Nagaharu; Okumura, Yasuyuki; Ito, Hiroto; Mizuno, Kyoichi

    2013-05-15

    Although attention has recently been focused on the role of psychosocial factors in patients with cardiovascular disease (CVD), the factors that have the greatest influence on prognosis have not yet been elucidated. The aim of this study was to evaluate the effects of depression, anxiety, and anger on the prognosis of patients with CVD. Four hundred fourteen consecutive patients hospitalized with CVD were prospectively enrolled. Depression was evaluated using the Patient Health Questionnaire, anxiety using the Generalized Anxiety Disorder Questionnaire, and anger using the Spielberger Trait Anger Scale. Cox proportional-hazards regression was used to examine the individual effects of depression, anxiety, and anger on a combined primary end point of cardiac death or cardiac hospitalization and on a combined secondary end point of all-cause death or hospitalization during follow-up (median 14.2 months). Multivariate analysis showed that depression was a significant risk factor for cardiovascular hospitalization or death after adjusting for cardiac risk factors and other psychosocial factors (hazard ratio 2.62, p = 0.02), whereas anxiety was not significantly associated with cardiovascular hospitalization or death after adjustment (hazard ratio 2.35, p = 0.10). Anger was associated with a low rate of cardiovascular hospitalization or death (hazard ratio 0.34, p depression in hospitalized patients with CVD is a stronger independent risk factor for adverse cardiac events than either anxiety or anger. Anger may help prevent adverse outcomes. Routine screening for depression should therefore be performed in patients with CVD, and the potential effects of anger in clinical practice should be reconsidered. Copyright © 2013 Elsevier Inc. All rights reserved.

  20. Associations in the longitudinal course of body dysmorphic disorder with major depression, obsessive-compulsive disorder, and social phobia.

    Science.gov (United States)

    Phillips, Katharine A; Stout, Robert L

    2006-06-01

    Body dysmorphic disorder (BDD) is an impairing and relatively common disorder that has high comorbidity with certain Axis I disorders. However, the longitudinal associations between BDD and comorbid disorders have not previously been examined. Such information may shed light on the nature of BDD's relationship to putative "near-neighbor" disorders, such as major depression, obsessive-compulsive disorder (OCD), and social phobia. This study examined time-varying associations between BDD and these comorbid disorders in 161 participants over 1-3 years of follow-up in the first prospective longitudinal study of the course of BDD. We found that BDD had significant longitudinal associations with major depression--that is, change in the status of BDD and major depression was closely linked in time, with improvement in major depression predicting BDD remission, and, conversely, improvement in BDD predicting depression remission. We also found that improvement in OCD predicted BDD remission, but that BDD improvement did not predict OCD remission. No significant longitudinal associations were found for BDD and social phobia (although the results for analyses of OCD and social phobia were less numerically stable). These findings suggest (but do not prove) that BDD may be etiologically linked to major depression and OCD, i.e., that BDD may be a member of both the putative OCD spectrum and the affective spectrum. However, BDD does not appear to simply be a symptom of these comorbid disorders, as BDD symptoms persisted in a sizable proportion of subjects who remitted from these comorbid disorders. Additional studies are needed to elucidate the nature of BDD's relationship to commonly co-occurring disorders, as this issue has important theoretical and clinical implications.

  1. Trajectories of recovery of social and physical functioning in major depression, dysthymic disorder and double depression : A 3-year follow-up

    NARCIS (Netherlands)

    Rhebergen, Didi; Beekman, Aartjan T. F.; de Graaf, Ron; Nolen, Willem A.; Spijker, Jan; Hoogendijk, Witte J.; Penninx, Brenda W. J. H.

    Background: Depressive disorders have a large impact on psychosocial functioning. Since lower functioning predicts recurrence of a depressive episode, insight into the post-morbid course of psychosocial functioning of persons with different depressive disorders may facilitate recurrence prevention.

  2. Modifying the IAT to test the relationship between Actual Implicit Self Esteem and depression - A preliminary analysis

    Directory of Open Access Journals (Sweden)

    Nastasia Sălăgean

    2017-06-01

    Full Text Available This paper sought to test weather modifying the Implicit Association Test (IAT to contextualize it would better predict depressive symptoms, compared to the classical IAT. Additionally, we explored how both versions of the IAT interact with explicit measures of self-esteem. Using a total of 99 university students (75.75% female, we collected measures of implicit self-esteem (IAT; Greenwald, McGhee, & Schwartz, 1998, actual implicit self-esteem (modified IAT, explicit self-esteem (ESE; Rosenberg,1965, and depression (Spitzer et al, 1999. The same data was collected again after 2 weeks. After employing several hierarchical stepwise regression analyses, results show that the only valid predictor for depression is ESE, with both IAT measurements failing to provide significant results. However, a significant relationship between depression at Time 1 were associated with both standard ISE at Time 2 (r=- 0.24, p<.05 and actual ISE at Time 2 (r=- 0.28, p<.05. No interaction effects were found between either IAT measure and ESE in predicting self-esteem. Moreover, no significant correlations were found between either type of ISE and ESE. The implications of the study are discussed.

  3. Testing Longitudinal Relationships Between Binge Drinking, Marijuana Use, and Depressive Symptoms and Moderation by Sex.

    Science.gov (United States)

    Wilkinson, Andra L; Halpern, Carolyn Tucker; Herring, Amy H; Shanahan, Meghan; Ennett, Susan T; Hussey, Jon M; Harris, Kathleen Mullan

    2016-12-01

    Both substance use and depression are common in adolescence and often comorbid. Past research has produced conflicting results on whether there is a temporal relationship, and if so, in which direction it operates and how it may vary by sex. We examined the longitudinal associations between substance use frequency and depressive symptoms from adolescence into young adulthood and whether the associations were moderated by sex. With data from Waves I, III, and IV of the National Longitudinal Study of Adolescent to Adult Health (n = 9,816), we used growth curve models to test if depressive symptoms predicted marijuana use or binge drinking frequency (Self-Medication Model) or if substance use frequency predicted depressive symptoms (Stress Model). Moderation by sex and age was tested for both potential pathways. Increases in adolescent depressive symptoms, compared to no symptoms, were associated with a steeper predicted increase in marijuana use frequency from adolescence to young adulthood. Increases in persistent binge drinking or marijuana use frequency had concurrent positive associations with depressive symptoms from adolescence to young adulthood, and these associations were significantly stronger for females compared to males. The results not only support the Self-Medication Model for marijuana use but also provide modest support for the Stress Model, that substance use is associated with depressive symptoms, especially for females. Copyright © 2016 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

  4. Aggression Protects Against the Onset of Major Depressive Episodes in Individuals With Bipolar Spectrum Disorder.

    Science.gov (United States)

    Ng, Tommy H; Freed, Rachel D; Titone, Madison K; Stange, Jonathan P; Weiss, Rachel B; Abramson, Lyn Y; Alloy, Lauren B

    2017-05-01

    A growing body of research suggests that bipolar spectrum disorders (BSDs) are associated with high aggression. However, little research has prospectively examined how aggression may affect time to onset of hypomanic/manic versus major depressive episodes. In a longitudinal study, we tested the hypothesis that aggression would prospectively predict a shorter time to the onset of hypomanic/manic episodes and a longer time to the onset of major depressive episodes, based on the behavioral approach system theory of BSDs. Young adults (N = 120) diagnosed with cyclothymia, bipolar II disorder, or bipolar disorder not otherwise specified were followed every 4 months for an average of 3.55 years. Participants completed measures of depressive and manic symptoms, family history of mood disorder, impulsivity, and aggression at baseline and were followed prospectively with semistructured diagnostic interview assessments of hypomanic/manic and major depressive episodes and treatment seeking for mood problems. Cox proportional hazard regression analyses indicated that overall, physical, and verbal aggression predicted a longer time to major depressive episode onset, even after controlling for baseline depressive and manic symptoms, family history of mood disorder, treatment seeking for mood problems, and impulsivity. Aggression, however, did not significantly predict time to onset of hypomanic/manic episodes, controlling for the same covariates. The findings suggest that approach-related behaviors may be utilized to delay the onset of major depressive episodes among people with BSDs. Copyright © 2016. Published by Elsevier Ltd.

  5. Predicting tDCS treatment outcomes of patients with major depressive disorder using automated EEG classification.

    Science.gov (United States)

    Al-Kaysi, Alaa M; Al-Ani, Ahmed; Loo, Colleen K; Powell, Tamara Y; Martin, Donel M; Breakspear, Michael; Boonstra, Tjeerd W

    2017-01-15

    Transcranial direct current stimulation (tDCS) is a promising treatment for major depressive disorder (MDD). Standard tDCS treatment involves numerous sessions running over a few weeks. However, not all participants respond to this type of treatment. This study aims to investigate the feasibility of identifying MDD patients that respond to tDCS treatment based on resting-state electroencephalography (EEG) recorded prior to treatment commencing. We used machine learning to predict improvement in mood and cognition during tDCS treatment from baseline EEG power spectra. Ten participants with a current diagnosis of MDD were included. Power spectral density was assessed in five frequency bands: delta (0.5-4Hz), theta (4-8Hz), alpha (8-12Hz), beta (13-30Hz) and gamma (30-100Hz). Improvements in mood and cognition were assessed using the Montgomery-Åsberg Depression Rating Scale and Symbol Digit Modalities Test, respectively. We trained the classifiers using three algorithms (support vector machine, extreme learning machine and linear discriminant analysis) and a leave-one-out cross-validation approach. Mood labels were accurately predicted in 8 out of 10 participants using EEG channels FC4-AF8 (accuracy=76%, p=0.034). Cognition labels were accurately predicted in 10 out of 10 participants using channels pair CPz-CP2 (accuracy=92%, p=0.004). Due to the limited number of participants (n=10), the presented results mainly aim to serve as a proof of concept. These finding demonstrate the feasibility of using machine learning to identify patients that will respond to tDCS treatment. These promising results warrant a larger study to determine the clinical utility of this approach. Copyright © 2016 Elsevier B.V. All rights reserved.

  6. The risk of being depressed is significantly higher in cancer patients than in the general population

    DEFF Research Database (Denmark)

    Hartung, T J; Brähler, E; Faller, H

    2017-01-01

    BACKGROUND: Depression is a common co-morbidity of cancer that has a detrimental effect on quality of life, treatment adherence and potentially survival. We conducted an epidemiological multi-center study including a population-based random comparison sample and estimated the prevalence...... of depressive symptoms by cancer site, thereby identifying cancer patients with the highest prevalence of depression. PATIENTS AND METHODS: We included 4020 adult cancer inpatients and outpatients from five distinct regions across Germany in a proportional stratified random sample based on the nationwide cancer......% participated (51% women, mean age = 58 years). We estimated that one in four cancer patients (24%) is depressed (PHQ-9 ≥ 10). The odds of being depressed among cancer patients were more than five times higher than in the general population (OR, 5.4; 95% CI, 4.6-6.2). Patients with pancreatic (M = 8.0, SD = 5...

  7. Testing earthquake prediction algorithms: Statistically significant advance prediction of the largest earthquakes in the Circum-Pacific, 1992-1997

    Science.gov (United States)

    Kossobokov, V.G.; Romashkova, L.L.; Keilis-Borok, V. I.; Healy, J.H.

    1999-01-01

    Algorithms M8 and MSc (i.e., the Mendocino Scenario) were used in a real-time intermediate-term research prediction of the strongest earthquakes in the Circum-Pacific seismic belt. Predictions are made by M8 first. Then, the areas of alarm are reduced by MSc at the cost that some earthquakes are missed in the second approximation of prediction. In 1992-1997, five earthquakes of magnitude 8 and above occurred in the test area: all of them were predicted by M8 and MSc identified correctly the locations of four of them. The space-time volume of the alarms is 36% and 18%, correspondingly, when estimated with a normalized product measure of empirical distribution of epicenters and uniform time. The statistical significance of the achieved results is beyond 99% both for M8 and MSc. For magnitude 7.5 + , 10 out of 19 earthquakes were predicted by M8 in 40% and five were predicted by M8-MSc in 13% of the total volume considered. This implies a significance level of 81% for M8 and 92% for M8-MSc. The lower significance levels might result from a global change in seismic regime in 1993-1996, when the rate of the largest events has doubled and all of them become exclusively normal or reversed faults. The predictions are fully reproducible; the algorithms M8 and MSc in complete formal definitions were published before we started our experiment [Keilis-Borok, V.I., Kossobokov, V.G., 1990. Premonitory activation of seismic flow: Algorithm M8, Phys. Earth and Planet. Inter. 61, 73-83; Kossobokov, V.G., Keilis-Borok, V.I., Smith, S.W., 1990. Localization of intermediate-term earthquake prediction, J. Geophys. Res., 95, 19763-19772; Healy, J.H., Kossobokov, V.G., Dewey, J.W., 1992. A test to evaluate the earthquake prediction algorithm, M8. U.S. Geol. Surv. OFR 92-401]. M8 is available from the IASPEI Software Library [Healy, J.H., Keilis-Borok, V.I., Lee, W.H.K. (Eds.), 1997. Algorithms for Earthquake Statistics and Prediction, Vol. 6. IASPEI Software Library]. ?? 1999 Elsevier

  8. Luteinizing hormone-follicle stimulating hormone ratio as biological predictor of post-partum depression.

    Science.gov (United States)

    Ramachandran Pillai, R; Sharon, Leena; Premkumar, Nancy R; Kattimani, Shivanand; Sagili, Haritha; Rajendiran, Soundravally

    2017-01-01

    Post-partum depression (PPD) is the common adverse outcome of child bearing which affects the wellbeing of both mother and newborn and has long-term effects. Hence, reliable potential biological tests for early detection of PPD are essential. Follicle stimulating hormone (FSH) and luteinizing hormone (LH) were associated with depressive disorders and the present study estimated the levels of serum FSH, LH in postpartum depression and explored them as predictive biomarkers in the development of PPD. In this nested case control study done at a tertiary care hospital in South India, 450 postpartum women were screened at 6th week post-delivery for PPD. Socio-demographic and clinical data were recorded and depressive symptoms were assessed using Edinburgh Postnatal Depression Scale (EPDS). Out of 450 subjects screened, 100 women with depressive symptoms were categorized as cases and 100 controls were selected from the remaining subjects matching for age and BMI with cases. Serum levels of FSH and LH were measured using direct competitive immunoassay by chemiluminescene technology. Serum LH/FSH ratio was found to be significantly (p=0.02) low in PPD women when compared to normal postpartum subjects. We also found a significant negative correlation between LH/FSH ratio and EPDS scores. Based on the receiver operating characteristic curve, the optimal cut-off value for serum of LH/FSH levels in predicting postpartum depression was estimated to be 0.22mlU/mL with an AUC of 0.598 (95%CI, 0.291-0.859). Our study demonstrated that low LH/FSH ratio after delivery was associated with increased risk for the development of PPD. Low LH/FSH ratio at six-week post delivery can be used as a robust biochemical predictor of post-partum depression. Copyright © 2016 Elsevier Inc. All rights reserved.

  9. Depressive Symptoms in Adolescence: Longitudinal Links with Maternal Empathy and Psychological Control.

    Science.gov (United States)

    Werner, Lente L A A; der Graaff, Jolien Van; Meeus, Wim H J; Branje, Susan J T

    2016-08-01

    Building on self-determination theory (Deci and Ryan in Psychological Inquiry, 11, 227-268. doi: 10.1207/S15327965PLI1104_01 , 2000), the aim of the current study was to examine the role of maternal affective and cognitive empathy in predicting adolescents' depressive symptoms, through mothers' psychological control use. Less empathic mothers may be less sensitive to adolescents' need for psychological autonomy, and thus prone to violating this need using psychological control, which may in turn predict adolescents' depressive symptoms. Moreover, according to interpersonal theory of depression (Coyne in Journal of Abnormal Psychology, 85, 186-193. doi: 10.1037/0021-843x.85.2.186 , 1976), adolescents' depressive symptoms may elicit rejecting responses, such as mothers' psychological control. For six waves, 497 adolescents (57 % boys, M age T1 = 13.03) annually completed questionnaires on depressive symptoms and maternal psychological control, while mothers reported on their empathy. Cross-lagged path analyses showed that throughout adolescence, both mothers' affective and cognitive empathy indirectly predicted boys' and girls' depressive symptoms, through psychological control. Additionally, depressive symptoms predicted psychological control for boys, and early adolescent girls. These results highlight the importance of (1) mothers' affective and cognitive empathy in predicting adolescents' depressive symptoms, and (2) taking gender into account when examining adolescent-effects.

  10. Sleep and sadness: exploring the relation among sleep, cognitive control, and depressive symptoms in young adults.

    Science.gov (United States)

    Vanderlind, W Michael; Beevers, Christopher G; Sherman, Stephanie M; Trujillo, Logan T; McGeary, John E; Matthews, Michael D; Maddox, W Todd; Schnyer, David M

    2014-01-01

    Sleep disturbance is a common feature of depression. However, recent work has found that individuals who are vulnerable to depression report poorer sleep quality compared to their low-risk counterparts, suggesting that sleep disturbance may precede depression. In addition, both sleep disturbance and depression are related to deficits in cognitive control processes. Thus we examined if poor sleep quality predicts subsequent increases in depressive symptoms and if levels of cognitive control mediated this relation. Thirty-five undergraduate students participated in two experimental sessions separated by 3 weeks. Participants wore an actigraph watch between sessions, which provided an objective measure of sleep patterns. We assessed self-reported sleep quality and depressive symptoms at both sessions. Last, individuals completed an exogenous cuing task, which measured ability to disengage attention from neutral and negative stimuli during the second session. Using path analyses, we found that both greater self-reported sleep difficulty and more objective sleep stability measures significantly predicted greater difficulty disengaging attention (i.e., less cognitive control) from negative stimuli. Less cognitive control over negative stimuli in turn predicted increased depression symptoms at the second session. Exploratory associations among the circadian locomotor output cycles kaput gene, CLOCK, single nucleotide polymorphism (SNP), rs11932595, as well as sleep assessments and depressive symptoms also are presented. These preliminary results suggest that sleep disruptions may contribute to increases in depressive symptoms via their impact on cognitive control. Further, variation in the CLOCK gene may be associated with sleep quality. Copyright © 2013 Elsevier B.V. All rights reserved.

  11. Anxiety, Depression and Emotion Regulation Among Regular Online Poker Players.

    Science.gov (United States)

    Barrault, Servane; Bonnaire, Céline; Herrmann, Florian

    2017-12-01

    Poker is a type of gambling that has specific features, including the need to regulate one's emotion to be successful. The aim of the present study is to assess emotion regulation, anxiety and depression in a sample of regular poker players, and to compare the results of problem and non-problem gamblers. 416 regular online poker players completed online questionnaires including sociodemographic data, measures of problem gambling (CPGI), anxiety and depression (HAD scale), and emotion regulation (ERQ). The CPGI was used to divide participants into four groups according to the intensity of their gambling practice (non-problem, low risk, moderate risk and problem gamblers). Anxiety and depression were significantly higher among severe-problem gamblers than among the other groups. Both significantly predicted problem gambling. On the other hand, there was no difference between groups in emotion regulation (cognitive reappraisal and expressive suppression), which was linked neither to problem gambling nor to anxiety and depression (except for cognitive reappraisal, which was significantly correlated to anxiety). Our results underline the links between anxiety, depression and problem gambling among poker players. If emotion regulation is involved in problem gambling among poker players, as strongly suggested by data from the literature, the emotion regulation strategies we assessed (cognitive reappraisal and expressive suppression) may not be those involved. Further studies are thus needed to investigate the involvement of other emotion regulation strategies.

  12. Coping Strategies and Depression Among College Students Following Child Sexual Abuse in Turkey.

    Science.gov (United States)

    Yılmaz Irmak, Türkan; Aksel, Şeyda; Thompson, Dennis

    2016-01-01

    The objective of this study was to investigate the relationship between type of coping style and depression in college students with child sexual abuse experience. A total of 1,055 college students completed self-report measures to assess depressive symptoms, coping strategies, and child sexual abuse history. This study was conducted with a subset of 125 college students who reported that they had been sexually abused in childhood. They were divided into depressive and nondepressive groups according to their depressive symptoms. Data was collected with the Childhood Sexual Abuse Measurement, the Beck Depression Inventory, and the Coping Styles of Stress Scale. Family characteristics were measured with a demographic questionnaire. Analyses involved multiple regression to test for predictive effects. Among college students with child sexual abuse histories, parental education level and both problem-focused and emotion-focused strategies significantly explained depression scores.

  13. The influence of depressive symptoms on alcohol use among HIV-infected Russian drinkers.

    Science.gov (United States)

    Palfai, T P; Cheng, D M; Coleman, S M; Bridden, C; Krupitsky, E; Samet, J H

    2014-01-01

    Depressive symptoms have been linked to HIV progression through a number of biobehavioral mechanisms including increased alcohol use. Although research supports an association between alcohol use and depressive symptoms among HIV patients, there have been few studies that have examined whether depressive symptoms predict subsequent drinking, especially among heavy drinking HIV-infected patients. Heavy drinking Russian HIV-infected patients (n=700) were recruited from addiction and HIV care settings for a randomized controlled trial of a risk reduction intervention [HERMITAGE]. GEE overdispersed Poisson regression analyses were conducted to assess the association between depressive symptoms and alcohol consumption 6-months later. In adjusted analyses, depressive symptom severity was significantly associated with drinks per day (global p=.02). Compared to the non-depressed category, mild depressive symptoms were significantly associated with more drinks per day [IRR=1.55, (95% CI: 1.14, 2.09)], while moderate [IRR=1.14, (95% CI: 0.83, 1.56)] and severe [IRR=1.48, (95% CI: 0.93, 2.34)] depressive symptoms were not. Associations between depressive symptom severity and heavy drinking days were not statistically significant (global p=.19). Secondary analyses using the BDI-II screening threshold (BDI-II>14) and the BDI-II cognitive subscale suggested an association between depressive symptoms and drinks per day over time but not heavy episodic drinking. Among heavy drinking HIV-infected patients, elevated depressive symptoms were associated with greater subsequent alcohol use. These findings suggest that depressive symptoms may be important to address in efforts to reduce alcohol-related risks among HIV-infected populations. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  14. Motivational deficits in effort-based decision making in individuals with subsyndromal depression, first-episode and remitted depression patients.

    Science.gov (United States)

    Yang, Xin-Hua; Huang, Jia; Zhu, Cui-Ying; Wang, Ye-Fei; Cheung, Eric F C; Chan, Raymond C K; Xie, Guang-Rong

    2014-12-30

    Anhedonia is a hallmark symptom of major depressive disorder (MDD). Preliminary findings suggest that anhedonia is characterized by reduced reward anticipation and motivation of obtaining reward. However, relatively little is known about reward-based decision-making in depression. We tested the hypothesis that anhedonia in MDD may reflect specific impairments in motivation on reward-based decision-making and the deficits might be associated with depressive symptoms severity. In study 1, individuals with and without depressive symptoms performed the modified version of the Effort Expenditure for Rewards Task (EEfRT), a behavioral measure of cost/benefit decision-making. In study 2, MDD patients, remitted MDD patients and healthy controls were recruited for the same procedures. We found evidence for decreased willingness to make effort for rewards among individuals with subsyndromal depression; the effect was amplified in MDD patients, but dissipated in patients with remitted depression. We also found that reduced anticipatory and consummatory pleasure predicted decreased willingness to expend efforts to obtain rewards in MDD patients. For individuals with subsyndromal depression, the impairments were correlated with anticipatory anhedonia but not consummatory anhedonia. These data offer novel evidence that motivational deficits in MDD are correlated with depression severity and predicted by self-reported anhedonia. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  15. Recognizing Maternal Depressive Symptoms: An Opportunity to Improve Outcomes in Early Intervention Programs.

    Science.gov (United States)

    Beeber, Linda S; Meltzer-Brody, Samantha; Martinez, Maria; Matsuda, Yui; Wheeler, Anne C; Mandel, Marcia; LaForett, Dore; Waldrop, Julee

    2017-04-01

    Objective A higher rate of depressive symptoms is found among mothers of children with disabilities compared to other parents. However, there is a lack of study of mothers with children maternal mental health, using gold standard clinical diagnostic and symptom measures, and test models associating depressive symptoms with contextual factors and child behavior. Methods A cross-sectional study was conducted with 106 women who had at least one child enrolled in EI. Mothers were interviewed and completed reliable, valid measures to evaluate mental health, health status, family conflict, parent-child interaction, self-efficacy, social support, child behavioral problems, hardship, endangerment, and child disability. Descriptive statistics and multivariate analyses were performed. Results We found 8 % of participants met all criteria for a Major Depressive Episode (MDE) with 44 % of the sample reporting a past episode and 43 % endorsing recurrent episodes. Using the CES-D to assess depressive symptom severity approximately 34 % of mothers screened in a clinically significant range. Using linear regression to predict severity of current depressive symptoms demonstrated that current depression severity was primarily predicted by poorer maternal health status, lower self-efficacy and past MDE (p maternal mood, health and self-efficacy are important factors to assess when evaluating how to support mothers of children in EI.

  16. Animal models as tools to study the pathophysiology of depression

    Directory of Open Access Journals (Sweden)

    Helena M. Abelaira

    2013-01-01

    Full Text Available The incidence of depressive illness is high worldwide, and the inadequacy of currently available drug treatments contributes to the significant health burden associated with depression. A basic understanding of the underlying disease processes in depression is lacking; therefore, recreating the disease in animal models is not possible. Popular current models of depression creatively merge ethologically valid behavioral assays with the latest technological advances in molecular biology. Within this context, this study aims to evaluate animal models of depression and determine which has the best face, construct, and predictive validity. These models differ in the degree to which they produce features that resemble a depressive-like state, and models that include stress exposure are widely used. Paradigms that employ acute or sub-chronic stress exposure include learned helplessness, the forced swimming test, the tail suspension test, maternal deprivation, chronic mild stress, and sleep deprivation, to name but a few, all of which employ relatively short-term exposure to inescapable or uncontrollable stress and can reliably detect antidepressant drug response.

  17. Prevalence of depression among mothers of young children in Honduras.

    Science.gov (United States)

    Wulsin, Lawson; Somoza, Eugene; Heck, Jeffery; Bauer, Leah

    2010-01-01

    Maternal depression is a substantial problem that has negative consequences on the health of both mother and child. Little research has been done on the prevalence of maternal depression in the developing world. This study aims to estimate the prevalence of current depression among mothers in Honduras and identify demographic predictors of depression in this sample. A modified Spanish version of the PHQ-9 and a demographic questionnaire were administered by trained interviewers to 415 rural and urban women aged 15-66 who had children between 1 and 10 years old. Prevalence of current major depressive syndrome was 17.6%. Mild depressive symptoms were detected in 52% of the sample. The estimated prevalence of current major depressive syndrome in the urban sample (19%) was not significantly greater than in the rural sample (16%, p = 0.49). None of the demographic variables measured, including age, number of children, or marital status predicted major depression in this sample. Maternal depression occurred at a high rate in this sample of Honduran women. The estimated prevalence rates in this study are similar to rates of maternal depression in studies of mothers in other Latin American countries, as well as in samples of mothers on Medicaid in the United States. Further study is needed to confirm and extend these findings, and to identify predictors of maternal depression in this population.

  18. Gender differences in depression severity and symptoms across depressive sub-types.

    Science.gov (United States)

    Parker, Gordon; Fletcher, Kathryn; Paterson, Amelia; Anderson, Josephine; Hong, Michael

    2014-01-01

    Lifetime rates of depression are distinctly higher in women reflecting both real and artefactual influences. Most prevalence studies quantifying a female preponderance have examined severity-based diagnostic groups such as major depression or dysthymia. We examined gender differences across three depressive sub-type conditions using four differing measures to determine whether any gender differences emerge more from severity or symptom prevalence, reflect nuances of the particular measure, or whether depressive sub-type is influential. A large clinical sample was recruited. Patients completed two severity-weighted depression measures: the Depression in the Medically Ill 10 (DMI-10) and Quick Inventory of Depressive Symptoms-Self-Report (QIDS-SR) and two measures weighting symptoms and illness correlates of melancholic and non-melancholic depressive disorders - the Severity of Depressive Symptoms (SDS) and Sydney Melancholia Prototype Index (SMPI). Analyses were undertaken of three diagnostic groups comprising those with unipolar melancholic, unipolar non-melancholic and bipolar depressive conditions. Women in the two unipolar groups scored only marginally (and non-significantly) higher than men on the depression severity measures. Women in the bipolar depression group, did however, score significantly higher than men on depression severity. On measures weighted to assessing melancholic and non-melancholic symptoms, there were relatively few gender differences identified in the melancholic and non-melancholic sub-sets, while more gender differences were quantified in the bipolar sub-set. The symptoms most commonly and consistently differentiating by gender were those assessing appetite/weight change and psychomotor disturbance. Our analyses of several measures and the minimal differentiation of depressive symptoms and symptom severity argues against any female preponderance in unipolar depression being contributed to distinctly by these depression rating measures

  19. Symptoms of depression as possible markers of bipolar II disorder.

    Science.gov (United States)

    Benazzi, Franco

    2006-05-01

    Underdiagnosis and misdiagnosis of bipolar-II disorder (BP-II) as a major depressive disorder (MDD) are frequently reported. The study aim was to find which symptoms of depression could be possible cross-sectional markers of BP-II, in order to reduce underdiagnosing BP-II. Consecutive 379 BP-II and 271 MDD major depressive episode (MDE) outpatients were interviewed with the Structured Clinical Interview for DSM-IV, the Hypomania Interview Guide, and the Family History Screen, by a senior psychiatrist in a private practice. Inside-MDE hypomanic symptoms (elevated mood and increased self-esteem always absent by definition) were systematically assessed. Mixed depression was defined as an MDE plus 3 or more inside-MDE hypomanic symptoms, a definition validated by Akiskal and Benazzi. The MDE symptoms significantly more common in BP-II versus MDD were weight gain, increased eating, hypersomnia, psychomotor agitation, worthlessness, and diminished ability to concentrate. The inside-MDE hypomanic symptoms significantly more common in BP-II were distractibility, racing/crowded thoughts, irritability, psychomotor agitation, more talkativeness, increased risky and goal-directed activities. Multiple logistic regression showed that hypersomnia, racing/crowded thoughts, irritability, and psychomotor agitation were independent predictors of BP-II. Irritability had the most balanced combination of sensitivity and specificity predicting BP-II. Psychomotor agitation had the highest specificity but the lowest sensitivity. Racing/crowded thoughts had the highest sensitivity but the lowest specificity. These symptoms had a similar positive predictive value (PPV) for BP-II, which was around 70% (PPV is more clinically useful than sensitivity and specificity), which in turn was similar to the PPV of mixed depression and atypical depression (two diagnostic clinical markers of BP-II). All possible combinations of these symptoms had a PPV similar to that of the individual symptoms. The

  20. Parental depressive history, parenting styles, and child psychopathology over 6 years: The contribution of each parent's depressive history to the other's parenting styles.

    Science.gov (United States)

    Kopala-Sibley, Daniel C; Jelinek, Caitlin; Kessel, Ellen M; Frost, Allison; Allmann, Anna E S; Klein, Daniel N

    2017-10-01

    The link between parental depressive history and parenting styles is well established, as is the association of parenting with child psychopathology. However, little research has examined whether a depressive history in one parent predicts the parenting style of the other parent. As well, relatively little research has tested transactional models of the parenting-child psychopathology relationship in the context of parents' depressive histories. In this study, mothers and fathers of 392 children were assessed for a lifetime history of major depression when their children were 3 years old. They then completed measures of permissiveness and authoritarianism and their child's internalizing and externalizing symptoms when children were 3, 6, and 9 years old. The results showed that a depressive history in one parent predicted the other parent's permissiveness. Analyses then showed that child externalizing symptoms at age 3 predicted maternal permissiveness and authoritarianism and paternal permissiveness at age 6. Maternal permissiveness at age 6 predicted child externalizing symptoms at age 9. No relationships in either direction were found between parenting styles and child internalizing symptoms. The results highlight the importance of considering both parents' depressive histories when understanding parenting styles, and support transactional models of parenting styles and child externalizing symptoms.

  1. College drinking behaviors: mediational links between parenting styles, parental bonds, depression, and alcohol problems.

    Science.gov (United States)

    Patock-Peckham, Julie A; Morgan-Lopez, Antonio A

    2007-09-01

    Mediational links between parenting styles (authoritative, authoritarian, permissive), parental bond (positive, negative), depression, alcohol use and abuse were tested. A 2-group, multiple-indicator, multiple-cause structural equation model with 441 (216 female, 225 male) college students was examined. In general, a poor parental bond with one's father was highly predictive of depression, a well-known predictor of alcohol abuse and related problems for both genders. In contrast, a positive parental bond with one's father significantly mediated the positive effects of authoritative fathering on depression, which then decreased alcohol use problems for both genders. For women, a negative parental bond with one's father significantly mediated the effect of having an authoritarian father on depression, which increased alcohol use problems. These findings suggest that parental influences on pathways to alcohol abuse through depression (primarily through fathers for both genders) are distinct from pathways stemming from poor impulse control (with influences primarily from the same-sex parents for both genders).

  2. Maternal depression predicts maternal use of corporal punishment in children with attention-deficit/hyperactivity disorder.

    Science.gov (United States)

    Shin, Dong-Won; Stein, Mark A

    2008-08-30

    We sought to determine if maternal depression contributed to the use of corporal punishment in children with attention-deficit/hyperactivity disorder (ADHD). The data were gathered through chart review of clinic-referred children with ADHD and their mothers who were evaluated at a psychiatric clinic located in a large academic medical center in Seoul, Korea. Daily records kept by parents and 13 items from the Physical Assault of the Parent-Child Conflict Tactics Scales (CTSPC) were used to assess corporal punishment. Ninety-one children with ADHD and their mothers were included in this study. Mothers who used corporal punishment showed significantly higher scores on the Beck Depression Inventory (t = -2.952, df = 89, p corporal punishment in ADHD children (Nagelkerke R2 = 0.102, p corporal punishment with children with ADHD. Assessment and management of the maternal depression should be an important focus of evaluation of children with ADHD.

  3. Pre-treatment attachment anxiety predicts change in depressive symptoms in women who complete day hospital treatment for anorexia and bulimia nervosa.

    Science.gov (United States)

    Keating, Leah; Tasca, Giorgio A; Bissada, Hany

    2015-03-01

    Individuals with eating disorders are prone to depressive symptoms. This study examines whether depressive symptoms can change in women who complete intensive day treatment for anorexia and bulimia nervosa (BN), and whether these changes are associated with pre-treatment attachment insecurity. Participants were 141 women with anorexia nervosa restricting type (n = 24), anorexia nervosa binge purge type (n = 30), and BN (n = 87) who completed a day hospital treatment programme for eating disorders. They completed a pre-treatment self-report measure of attachment, and a pre-treatment and post-treatment self-report measure of depressive symptoms. Participants experienced significant reductions in depressive symptoms at post-treatment. Eating disorder diagnosis was not related to these improvements. However, participants lower in attachment anxiety experienced significantly greater improvement in depressive symptoms than those who were higher in attachment anxiety. These results suggest that clinicians may tailor eating disorders treatments to patients' attachment patterns and focus on their pre-occupation with relationships and affect regulation to improve depressive symptoms. That depressive symptoms can decrease in women who complete day hospital treatment for anorexia and BN. That improvements in depressive symptoms do not vary according to eating disorder diagnosis in these women. That patients who complete treatment and who have higher attachment anxiety experience less improvements in depressive symptoms compared to those lower in attachment anxiety. That clinicians may attend to aspects of attachment anxiety, such as need for approval and up-regulation of emotions, to improve depressive symptoms in female patients with eating disorders. © 2014 The British Psychological Society.

  4. Study of fatigue, depression, and associated factors in type 2 diabetes mellitus in industrial workers

    Directory of Open Access Journals (Sweden)

    Akhilesh Jain

    2015-01-01

    Full Text Available Introduction: Type 2 diabetes mellitus is a significant health problem and imposes great physical, financial and psychological burden among the affected population. Among people with diabetes, fatigue is a pervasive and distressing complaint, which is further accentuated by presence of depression. Objective: To assess the prevalence of fatigue and depression and associated clinical and socio demographic correlates in type 2diabetes. Materials and Methods: This cross sectional study included 100 patients of diabetes type 2 and equal number of healthy controls between the ages of 18 to 70 years . A detailed evaluation of socio demographic and clinical parameters was made. Participants were also assessed for presence of depression and fatigue using PHQ-9 and Fatigue Severity Scale(FSSrespectively. Results: Fatigue and depression was found in 68 % and 53 % of diabetic participants. Diabetic patients were 10.37 times and 4.80 times more likely to suffer from fatigue and depression respectively. Both fatigue and depression were found to be significantly associated with duration of illness, fasting and post prandial blood glucose level ,diabetic complications and Body Mass Index (BMI. Fatigue was also strongly correlated with depression in study sample. Conclusions: Fatigue and depression are reasonably correlated with type 2 diabetes. Various clinical parameters of diabetes are strongly associated with both fatigue and depression. Fatigue itself has significant correlation with depression in type 2 diabetes. Regular monitoring of biochemical parameters are paramount to predict the development of fatigue and depression in type 2 diabetes.

  5. No significant difference in depression rate in employed and unemployed in a pair-matched study design.

    Science.gov (United States)

    Mihai, Adriana; Ricean, Alina; Voidazan, Septimiu

    2014-01-01

    The main objective of this study was to evaluate the differences of depression rate in employed and unemployed persons in the period of financial and economic crisis in Romania, in a pair-matched study design. The cross-sectional study uses a pair match design (395 pairs) of two groups of employed and unemployed persons. Other socio-demographic risk factors of depression (gender, age, marital status, residence, ethnicity, educational level, and profession) were controlled. The study was done in a historical period of economic crisis, 2009-2010. For the screening of depression we used the patient health questionnaire-9. There were no statistical differences (p = 0.054) between the depression rates in the employed (17.98%) and unemployed (23.80%) samples. The depression rate in both groups was higher in females, age (51-55), marital status (divorced), living in the rural area, with a low level of education and poverty. Suicidal ideas are more frequent in men, employed persons with low level of education and in unemployed persons with medium level of education. The exposure to short term unemployment status was not associated with change in depression rate in the period of financial and economic crisis in Romania, comparing with controls pair-matched. Unemployment status increases the depression rate only in vulnerable groups such as single or divorced women; and suicidal ideas were associated with the unemployment status (longer than 8 months) in men from rural area with medium level of education.

  6. Emotion Regulation Predicts Attention Bias in Maltreated Children At-Risk for Depression

    Science.gov (United States)

    Romens, Sarah E.; Pollak, Seth D.

    2012-01-01

    Background: Child maltreatment is associated with heightened risk for depression; however, not all individuals who experience maltreatment develop depression. Previous research indicates that maltreatment contributes to an attention bias for emotional cues, and that depressed individuals show attention bias for sad cues. Method: The present study…

  7. The prospective association between sleep deprivation and depression among adolescents.

    Science.gov (United States)

    Roberts, Robert E; Duong, Hao T

    2014-02-01

    To examine the prospective, reciprocal association between sleep deprivation and depression among adolescents. A community-based two-wave cohort study. A metropolitan area with a population of over 4 million. 4,175 youths 11-17 at baseline, and 3,134 of these followed up a year later. Depression is measured using both symptoms of depression and DSM-IV major depression. Sleep deprivation is defined as ≤ 6 h of sleep per night. Sleep deprivation at baseline predicted both measures of depression at follow-up, controlling for depression at baseline. Examining the reciprocal association, major depression at baseline, but not symptoms predicted sleep deprivation at follow-up. These results are the first to document reciprocal effects for major depression and sleep deprivation among adolescents using prospective data. The data suggest reduced quantity of sleep increases risk for major depression, which in turn increases risk for decreased sleep.

  8. Depressive symptoms and other risk factors predicting suicide in middle-aged men: a prospective cohort study among Korean Vietnam War veterans

    Directory of Open Access Journals (Sweden)

    Sang-Wook Yi

    2015-07-01

    Full Text Available Background. Few studies have prospectively examined whether depressive symptoms and other risk factors are associated with a higher risk of suicide death in individuals other than high-risk populations such as psychiatric patients and individuals with self-harm histories. The purpose of the study is to prospectively examine whether depressive symptoms assessed by the Beck Depression Inventory (BDI are associated with greater risk of suicide death and whether depressive symptoms and other risk factors are independent predictors of suicide in general-risk populations. Another aim is to evaluate the sensitivity of the BDI for predicting suicide death.Methods. 10,238 Korean Vietnam War veterans (mean age: 56.3 years who participated in two surveys in 2001 were followed up for suicide mortality over 7.5 years.Results. 41 men died by suicide. Severely depressed participants had a higher adjusted hazard ratio (aHR = 3.4; 95% CI [1.5–7.7] of suicide than non-to-moderately depressed ones. Higher suicide risk was associated with more severe depressive symptoms (p for trend = 0.009. After adjustment for depressive symptoms and other factors, very poor health, low education, and past drinking were associated with higher suicide risk, while good health, body mass index, and marital status were not associated with suicide. The sensitivity at the cut-off score of 31 for detecting suicide was higher during the earlier 3.5 years of the follow-up (75%; 95% CI [50–90] than during the latter 4 years (60%; 95% CI [41–76].Conclusions. Depressive symptoms are a strong independent predictor and very poor health, low education, and drinking status may be independent predictors of future suicide. The BDI may have acceptable diagnostic properties as a risk assessment tool for identifying people with depression and suicidal potential among middle-aged men.

  9. Depressive symptoms and other risk factors predicting suicide in middle-aged men: a prospective cohort study among Korean Vietnam War veterans.

    Science.gov (United States)

    Yi, Sang-Wook; Hong, Jae-Seok

    2015-01-01

    Background. Few studies have prospectively examined whether depressive symptoms and other risk factors are associated with a higher risk of suicide death in individuals other than high-risk populations such as psychiatric patients and individuals with self-harm histories. The purpose of the study is to prospectively examine whether depressive symptoms assessed by the Beck Depression Inventory (BDI) are associated with greater risk of suicide death and whether depressive symptoms and other risk factors are independent predictors of suicide in general-risk populations. Another aim is to evaluate the sensitivity of the BDI for predicting suicide death. Methods. 10,238 Korean Vietnam War veterans (mean age: 56.3 years) who participated in two surveys in 2001 were followed up for suicide mortality over 7.5 years. Results. 41 men died by suicide. Severely depressed participants had a higher adjusted hazard ratio (aHR = 3.4; 95% CI [1.5-7.7]) of suicide than non-to-moderately depressed ones. Higher suicide risk was associated with more severe depressive symptoms (p for trend = 0.009). After adjustment for depressive symptoms and other factors, very poor health, low education, and past drinking were associated with higher suicide risk, while good health, body mass index, and marital status were not associated with suicide. The sensitivity at the cut-off score of 31 for detecting suicide was higher during the earlier 3.5 years of the follow-up (75%; 95% CI [50-90]) than during the latter 4 years (60%; 95% CI [41-76]). Conclusions. Depressive symptoms are a strong independent predictor and very poor health, low education, and drinking status may be independent predictors of future suicide. The BDI may have acceptable diagnostic properties as a risk assessment tool for identifying people with depression and suicidal potential among middle-aged men.

  10. Temperament and character profiles are associated with depression outcome in psychiatric secondary care patients with harmful drinking.

    Science.gov (United States)

    Paavonen, Vesa; Luoto, Kaisa; Lassila, Antero; Leinonen, Esa; Kampman, Olli

    2018-04-07

    Temperament and character profiles have been associated with depression outcome and alcohol abuse comorbidity in depressed patients. How harmful alcohol use modifies the effects of temperament and character on depression outcome is not well known. Knowledge of these associations could provide a method for enhancing more individualized treatment strategies for these patients. We screened 242 depressed patients with at least moderate level of depressive symptoms. The Alcohol Use Disorders Identification Test (AUDIT) was used for identifying patients with marked alcohol use problems (AUP, AUDIT≥11). After 6 weeks of antidepressive treatment 173 patients were assessed using the Montgomery-Åsberg Depression Rating Scale (MADRS), and the Temperament and Character Inventory (TCI-R). Outcome of depression (MADRS scores across three follow-up points at 6 weeks, 6 months and 24 months) was predicted with AUP, gender, and AUP x Gender and AUP x Time interactions together with temperament and character dimension scores in a linear mixed effects model. Poorer outcome of depression (MADRS scores at 6 weeks, 6 months and 24 months) was predicted by AUP × Time interaction (p = 0.0002) together with low Reward Dependence (p = 0.003). Gender and all other temperament and character traits were non-significant predictors of the depression outcome in the mixed effects model. Possibly due to the modifying effect of alcohol use problems, high Reward Dependence was associated with better depression treatment outcome at 6 months. Harm Avoidance and Self-Directedness did not predict depression outcome when alcohol use problems were controlled. Copyright © 2018 Elsevier Inc. All rights reserved.

  11. Trajectories of parenting behavior and maternal depression.

    Science.gov (United States)

    Azak, Schale; Raeder, Sabine

    2013-06-01

    This study investigated trajectories of maternal parenting behavior across the infants' first 18 months of life in relation to maternal depression. Furthermore, predictors of the quality of the mother-infant relationship at 18 months were examined. Participants consisted of three types of mother-infant dyads: mothers with comorbid depression and anxiety (n=19), mothers with depression (n=7) and nondepressed mothers (n=24). Maternal behaviors and the quality of relationship were rated on a global scale (NICHD) from video-taped mother-infant interactions. Maternal behaviors rated at six, 12 and 18 months were collapsed into a composite variable maternal style. The quality of the relationship captured as dyadic mutuality was rated at 18 months. Comorbid and depressed mothers showed lower quality in maternal style compared with the nondepressed mothers at six months. Over the follow-up the comorbid mothers were lower in maternal style compared to the nondepressed mothers, but the comorbid mothers increased significantly in maternal style despite elevated depression symptoms. Mean maternal style and infant cognitive skills predicted the quality in relationship at 18 months suggesting that the mother-toddler relationship depends on contributions from the mother and the child. Higher growth in maternal style despite of depression symptoms among comorbid mothers was interpreted against the background that the majority of the comorbid mother-infant dyads received several treatments. Copyright © 2013 Elsevier Inc. All rights reserved.

  12. Can depression be diagnosed by response to mother's face? A personalized attachment-based paradigm for diagnostic fMRI.

    Directory of Open Access Journals (Sweden)

    Xian Zhang

    Full Text Available OBJECTIVE: Objective measurement of depression remains elusive. Depression has been associated with insecure attachment, and both have been associated with changes in brain reactivity in response to viewing standard emotional and neutral faces. In this study, we developed a method to calculate predicted scores for the Beck Depression Inventory II (BDI-II using personalized stimuli: fMRI imaging of subjects viewing pictures of their own mothers. METHODS: 28 female subjects ages 18-30 (14 healthy controls and 14 unipolar depressed diagnosed by MINI psychiatric interview were scored on the Beck Depression Inventory II (BDI-II and the Adult Attachment Interview (AAI coherence of mind scale of global attachment security. Subjects viewed pictures of Mother (M, Friend (F and Stranger (S, during functional magnetic resonance imaging (fMRI. Using a principal component regression method (PCR, a predicted Beck Depression Inventory II (BDI-II score was obtained from activity patterns in the paracingulate gyrus (Brodmann area 32 and compared to clinical diagnosis and the measured BDI-II score. The same procedure was performed for AAI coherence of mind scores. RESULTS: Activity patterns in BA-32 identified depressed subjects. The categorical agreement between the derived BDI-II score (using the standard clinical cut-score of 14 on the BDI-II and depression diagnosis by MINI psychiatric interview was 89%, with sensitivity 85.7% and specificity 92.8%. Predicted and measured BDI-II scores had a correlation of 0.55. Prediction of attachment security was not statistically significant. CONCLUSIONS: Brain activity in response to viewing one's mother may be diagnostic of depression. Functional magnetic resonance imaging using personalized paradigms has the potential to provide objective assessments, even when behavioral measures are not informative. Further, fMRI based diagnostic algorithms may enhance our understanding of the neural mechanisms of depression by

  13. Modifiable risk factors predicting major depressive disorder at four year follow-up: a decision tree approach

    OpenAIRE

    Batterham, Philip J; Christensen, Helen; Mackinnon, Andrew J

    2009-01-01

    Abstract Background Relative to physical health conditions such as cardiovascular disease, little is known about risk factors that predict the prevalence of depression. The present study investigates the expected effects of a reduction of these risks over time, using the decision tree method favoured in assessing cardiovascular disease risk. Methods The PATH through Life cohort was used for the study, comprising 2,105 20-24 year olds, 2,323 40-44 year olds and 2,177 60-64 year olds sampled fr...

  14. Predicting Depression From Language-Based Emotion Dynamics: Longitudinal Analysis of Facebook and Twitter Status Updates.

    Science.gov (United States)

    Seabrook, Elizabeth M; Kern, Margaret L; Fulcher, Ben D; Rickard, Nikki S

    2018-05-08

    Frequent expression of negative emotion words on social media has been linked to depression. However, metrics have relied on average values, not dynamic measures of emotional volatility. The aim of this study was to report on the associations between depression severity and the variability (time-unstructured) and instability (time-structured) in emotion word expression on Facebook and Twitter across status updates. Status updates and depression severity ratings of 29 Facebook users and 49 Twitter users were collected through the app MoodPrism. The average proportion of positive and negative emotion words used, within-person variability, and instability were computed. Negative emotion word instability was a significant predictor of greater depression severity on Facebook (r s (29)=.44, P=.02, 95% CI 0.09-0.69), even after controlling for the average proportion of negative emotion words used (partial r s (26)=.51, P=.006) and within-person variability (partial r s (26)=.49, P=.009). A different pattern emerged on Twitter where greater negative emotion word variability indicated lower depression severity (r s (49)=-.34, P=.01, 95% CI -0.58 to 0.09). Differences between Facebook and Twitter users in their emotion word patterns and psychological characteristics were also explored. The findings suggest that negative emotion word instability may be a simple yet sensitive measure of time-structured variability, useful when screening for depression through social media, though its usefulness may depend on the social media platform. ©Elizabeth M Seabrook, Margaret L Kern, Ben D Fulcher, Nikki S Rickard. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 08.05.2018.

  15. Anxiety, Depression and Post-Traumatic Stress Disorder after Earthquake.

    Science.gov (United States)

    Thapa, Prakash; Acharya, Lumeshor; Bhatta, Bhup Dev; Paneru, Suman Bhatta; Khattri, Jai Bahadur; Chakraborty, Prashant Kumar; Sharma, Rajasee

    2018-03-13

    Prevalence of anxiety, depression and post traumatic stress disorder is high after earthquake. The aim of the study is to study the prevalence and comorbidity of commonly occurring psychological symptoms in people exposed to Nepal mega earthquake in 2015 after a year of the event. A community based, cross sectional, descriptive study was carried out in Bhumlichaur area of Gorkha district, Nepal after around 14 months of the first major earthquake. We used self-reporting questionnaire 20, Post-traumatic stress disorder 8 and hospital anxiety and depression scale to screen for presence of symptoms of anxiety and depression or post-traumatic stress disorder in this population. The risk of having these disorders according to different socio-demographic variable was assessed by calculating odds ratio. All calculations were done using predictive and analytical software (PASW) version 16.0. A total of 198 participants were included in the final data analysis. The mean age of study participants was 35.13 years (SD=18.04). Borderline anxiety symptoms were found in 104 (52.5%) while significant anxiety symptoms were found in 40 (20%) of respondents. Borderline depressive symptoms were seen in 40 (20%) while significant depressive symptoms were seen in 16 (8%) of subjects. Around 27% (n= 53) of respondents were classified as having post-traumatic stress disorder. The prevalence of anxiety and depressive symptoms and post-traumatic stress disorder seems to be high even after one year in people exposed to earthquake.

  16. Depressive symptomatology in middle-aged and older married couples: a dyadic analysis.

    Science.gov (United States)

    Townsend, A L; Miller, B; Guo, S

    2001-11-01

    Depressive symptomatology has been frequently conceptualized as an individual matter, but social contextual models argue that symptom levels are likely to covary in close relationships. The present study investigated correlation between spouses' depressive symptomatology in middle-aged and older married couples, the influence of gender and race/ethnicity in predicting variability in symptom level, and the importance of individual-level covariates (education, health, and age) and couple-level covariates (household income and net worth). Results were based on secondary analysis of Wave 1 interviews with White, Black, and Mexican American married couples (N = 5,423) from the Health and Retirement Study (HRS) and the Study of Asset and Health Dynamics Among the Oldest Old (AHEAD). Dyadic data from husbands and wives were analyzed with multilevel modeling. Husbands' and wives' depressive symptoms were moderately correlated, gender and race/ethnicity (and their interaction) predicted depressive symptoms, and both individual-level and couple-level characteristics were significant covariates. Similarities as well as differences are noted between the HRS and AHEAD results. Results highlight the importance of dyadic data and multilevel models for understanding depressive symptomatology in married couples. The influence of race/ethnicity merits greater attention in future research. Differences in findings between HRS and AHEAD suggest life-course, cohort, or methodological influences.

  17. Exploring the significance of human mobility patterns in social link prediction

    KAUST Repository

    Alharbi, Basma Mohammed

    2014-01-01

    Link prediction is a fundamental task in social networks. Recently, emphasis has been placed on forecasting new social ties using user mobility patterns, e.g., investigating physical and semantic co-locations for new proximity measure. This paper explores the effect of in-depth mobility patterns. Specifically, we study individuals\\' movement behavior, and quantify mobility on the basis of trip frequency, travel purpose and transportation mode. Our hybrid link prediction model is composed of two modules. The first module extracts mobility patterns, including travel purpose and mode, from raw trajectory data. The second module employs the extracted patterns for link prediction. We evaluate our method on two real data sets, GeoLife [15] and Reality Mining [5]. Experimental results show that our hybrid model significantly improves the accuracy of social link prediction, when comparing to primary topology-based solutions. Copyright 2014 ACM.

  18. Rate and Predictors of Persistent Major Depressive Disorder in a Nationally Representative Sample.

    Science.gov (United States)

    Walker, Elizabeth Reisinger; Druss, Benjamin G

    2015-08-01

    This study examined predictors of persistent major depressive disorder over 10 years, focusing on the effects of clinical variables, physical health, and social support. Data from the National Survey of Midlife Development in the United States in 1995-1996 and 2004-2006 were analyzed. Logistic regression was used to predict non-recovery from major depression among individuals who met clinical-based criteria for major depressive disorder at baseline. Fifteen percent of the total sample was classified as having major depression in 1995-1996; of these individuals, 37 % had major depression in 2004-2006. Baseline variables that were significantly associated with persistent major depression at follow-up were being female, having never married, having two or more chronic medical conditions, experiencing activity limitation, and less contact with family. Therefore, treatment strategies focused on physical health, social support, and mental health needs are necessary to comprehensively address the factors that contribute to persistent major depressive disorder.

  19. Attention-deficit/hyperactivity disorder in adolescence predicts onset of major depressive disorder through early adulthood.

    Science.gov (United States)

    Meinzer, Michael C; Lewinsohn, Peter M; Pettit, Jeremy W; Seeley, John R; Gau, Jeff M; Chronis-Tuscano, Andrea; Waxmonsky, James G

    2013-06-01

    The aim of this study was to examine the prospective relationship between a history of attention-deficit/hyperactivity disorder (ADHD) assessed in mid-adolescence and the onset of major depressive disorder (MDD) through early adulthood in a large school-based sample. A secondary aim was to examine whether this relationship was robust after accounting for comorbid psychopathology and psychosocial impairment. One thousand five hundred seven participants from the Oregon Adolescent Depression Project completed rating scales in adolescence and structured diagnostic interviews up to four times from adolescence to age 30. Adolescents with a lifetime history of ADHD were at significantly higher risk of MDD through early adulthood relative to those with no history of ADHD. ADHD remained a significant predictor of MDD after controlling for gender, lifetime history of other psychiatric disorders in adolescence, social and academic impairment in adolescence, stress and coping in adolescence, and new onset of other psychiatric disorders through early adulthood (hazard ratio, 1.81; 95% confidence interval, 1.04, 3.06). Additional significant, robust predictors of MDD included female gender, a lifetime history of an anxiety disorder, and poor coping skills in mid-adolescence, as well as the onset of anxiety, oppositional defiant disorder, and substance-use disorder after mid-adolescence. A history of ADHD in adolescence was associated with elevated risk of MDD through early adulthood and this relationship remained significant after controlling for psychosocial impairment in adolescence and co-occurring psychiatric disorders. Additional work is needed to identify the mechanisms of risk and to inform depression prevention programs for adolescents with ADHD. © 2013 Wiley Periodicals, Inc.

  20. Correlation between oral health in disabled children and depressive symptoms in their mothers.

    Science.gov (United States)

    D'Alessandro, G; Cremonesi, I; Alkhamis, N; Piana, G

    2014-09-01

    The aim of this study was to evaluate the presence and degree of depressive symptoms in mothers of disabled children and to assess the correlation between maternal major depression risk and son/daughter oral health. A prospective study was conducted in 51 disabled children and their 51 mothers. In children dmft/DMFT values, food and/or sugar- sweetened consumption levels and daily tooth brushing frequency were evaluated. Depressive maternal symptoms were measured by EDPS questionnaire: the questionnaire scores were converted into positive predictive values (PPV) that represented the risk of falling into major depression. A regression analysis was performed on the variables (statical significance was set at p value ≤ 0.05). Children (8.68 ± 3.98 years old) average dmft/DMFT was 2.7. Fifty three percent of the mothers (38.37 ± 6.04 years) were at risk for depression (PPV > 60%), while depressive symptoms were already present in 25% of the subjects (PPV=100%). Mothers of disabled children are more likely to fall into major depression compared to mothers of healthy children. For each mother-child couple the correlation between different variables was evaluated: there was a statistically significant correlation between children's dmft/DMFT values and mothers' depression risk. The risk of maternal depression was statistically correlated to prevalence of caries and sugar consumption in children.

  1. [Mediating effect of mental elasticity on occupational stress and depression in female nurses].

    Science.gov (United States)

    Wang, Y W; Liu, G Z; Zhou, X T; Sheng, P J; Cui, F F; Shi, T

    2017-06-20

    Objective: To investigate the interaction between mental elasticityand occupational stress and depressionin female nurses and the mediating effect of mental elasticity, as well as the functioning way of mental elasticity in occupational stress-depression. Methods: From August to October, 2015, cluster sampling was used to select 122 female nurses in a county-level medical institution as study subjects. The Connor-Davidson Resilience Scale (CD-RISC) , Occupational Stress Inventory-Revised Edition (OSI-R) , and Self-Rating Depression Scale (SDS) were used to collect the data on mental elasticity, occupational stress, and depression and analyze their correlation and mediating effect. Results: The 122 female nurses had a mean mental elasticity score of 62.4±15.1, which was significantly lower than the Chinese norm (65.4±13.9) ( P occupational stress and depression ( r =-0.559 and -0.559, both P Occupational stress and the two subscales mental stress reaction and physical stress reaction were positively correlated with depression ( r =0.774, 0.734, and 0.725, all P occupational stress had a positive predictive effect on depression ( β =0.744, P occupational stress on depression and a significant mediating effect of mental elasticity ( a =-0.527, b =-0.227, c =0.744, c '=0.627; all P occupational stress and depression and can alleviate the adverse effect of occupational stress and reduce the development of depression.

  2. Significance of exercise-induced ST segment depression in patients with myocardial infarction involving the left circumflex artery. Evaluation by exercise thallium-201 myocardial single photon emission computed tomography

    International Nuclear Information System (INIS)

    Koitabashi, Norimichi; Toyama, Takuji; Hoshizaki, Hiroshi

    2000-01-01

    The significance of exercise-induced ST segment depression in patients with left circumflex artery involvement was investigated by comparing exercise electrocardiography with exercise thallium-201 single photon emission computed tomography (Tl-SPECT) and the wall motion estimated by left ventriculography. Tl-SPECT and exercise electrocardiography were simultaneously performed in 51 patients with left circumflex artery involvement (angina pectoris 30, myocardial infarction 21). In patients with myocardial infarction, exercise-induced ST depression was frequently found in the V 2 , V 3 and V 4 leads. In patients with angina pectoris, ST depression was frequently found in the II, III, aV F , V 5 and V 6 leads. There was no obvious difference in the leads of ST depression in patients with myocardial infarction with ischemia and without ischemia on Tl-SPECT images. In patients with myocardial infarction, the lateral wall motion of the infarcted area evaluated by left ventriculography was more significantly impaired in the patients with ST depression than without ST depression (p<0.01). Exercise-induced ST depression in the precordial leads possibly reflects wall motion abnormality rather than ischemia in the lateral infarcted myocardium. (author)

  3. Depression and Dissociation as Predictors of Physical Health Symptoms Among Female Rape Survivors with PTSD

    Science.gov (United States)

    Scioli-Salter, Erica R.; Johnides, Benjamin D.; Mitchell, Karen S.; Smith, Brian N.; Resick, Patricia A.; Rasmusson, Ann M.

    2016-01-01

    Objective To investigate the relative contributions of depression and dissociation, as well as PTSD, to physical health symptoms and to examine the relationships among somatic symptoms, PTSD, depression, and dissociation in relation to childhood and adult trauma exposure. Method Cross-sectional data are from 132 female rape survivors with PTSD assessed prior to engaging in a study of trauma-focused cognitive therapy for PTSD. Measures included the Pennebaker Inventory of Limbic Languidness, Clinician Administered PTSD Scale, Beck Depression Inventory, Trauma Symptom Inventory-Dissociation Subscale, Childhood Sexual Abuse Exposure Questionnaire, and Assessing Environments-III-Physical Punishment Scale. Results Hierarchical regression analyses revealed that only dissociative and depression symptoms contributed significantly to physical health symptoms. Similarly, among the subsample of women with either childhood sexual or physical abuse, depression and dissociation were significant predictors of somatic symptoms. However, among women without childhood abuse, only dissociation significantly predicted somatic symptoms. Conclusion Understanding the psychological and biological mechanisms that link childhood versus adult trauma exposure, PTSD, and comorbid depression or dissociation to physical health symptoms may aid development of individualized treatments for the physical and psychological consequences of trauma. PMID:27149157

  4. No significant difference in depression rate in employed and unemployed in a pair-matched study design

    Directory of Open Access Journals (Sweden)

    Adriana eMihai

    2014-07-01

    Full Text Available The main objective of this study was to evaluate the differences of depression rate in employed and unemployed persons in the period of financial and economic crisis in Romania, in a pair-matched study design.Method: The cross sectional study uses a pair match design (395 pairs of two groups of employed and unemployed persons. Other socio-demographic risk factors of depression (gender, age, marital status, residence, ethnicity, educational level and profession were controlled. The study was done in a historical period of economic crisis, 2009-2010. For the screening of depression we used the Patient Health Questionnaire PHQ – 9.Results: There were no statistical differences (p=0.054 between the depression rates in the employed (17.98% and unemployed (23.80% samples. The depression rate in both groups was higher in females, age (51-55, marital status (divorced, living in the rural area, with a low level of education, poverty. Suicidal ideas are more frequent in men, employed persons with low level of education and in unemployed persons with medium level of education.Conclusion: The exposure to short term unemployment status was not associated with change in depression rate in the period of financial and economic crisis in Romania, comparing with controls pair-matched. Unemployment status increases the depression rate only in vulnerable groups such as single or divorced women; and suicidal ideas were associated with the unemployment status (longer than 8 months in men from rural area with medium level of education.

  5. "Subthreshold" depression: is the distinction between depressive disorder not otherwise specified and adjustment disorder valid?

    Science.gov (United States)

    Zimmerman, Mark; Martinez, Jennifer H; Dalrymple, Kristy; Chelminski, Iwona; Young, Diane

    2013-05-01

    Patients with clinically significant symptoms of depression who do not meet the criteria for major depressive disorder or dysthymic disorder are considered to have subthreshold depression. According to DSM-IV, such patients should be diagnosed with depressive disorder not otherwise specified (NOS) if the development of the symptoms is not attributable to a stressful event or with adjustment disorder if the symptoms follow a stressor. Research on the treatment of subthreshold depression rarely addresses the distinction between depressive disorder NOS and adjustment disorder. In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, we examined the validity of this distinction. From December 1995 to June 2011, 3,400 psychiatric patients presenting to the Rhode Island Hospital outpatient practice were evaluated with semistructured diagnostic interviews for DSM-IV Axis I and Axis II disorders and measures of psychosocial morbidity. Slightly less than 10% (n = 300) of the 3,400 patients were diagnosed with depressive disorder NOS or adjustment disorder with depressed mood. The patients with depressive disorder NOS were significantly more often diagnosed with social phobia (P depressive disorder NOS reported more anhedonia, increased appetite, increased sleep, and indecisiveness, whereas the patients with adjustment disorder reported more weight loss, reduced appetite, and insomnia. There was no significant difference between the groups in overall level of severity of depression or impaired functioning. The patients with depressive disorder NOS had a nonsignificantly elevated morbid risk of depression in their first-degree relatives. Clinically significant subthreshold depression was common in psychiatric outpatients, and the present results support the validity of distinguishing between depressive disorder NOS and adjustment disorder with depressed mood. Future studies of the treatment of subthreshold depression

  6. Patterns of Adolescent Depression to Age 20: The Role of Maternal Depression and Youth Interpersonal Dysfunction

    Science.gov (United States)

    Hammen, Constance; Brennan, Patricia A.; Keenan-Miller, Danielle

    2008-01-01

    Considerable research has focused on youth depression, but further information is needed to characterize different patterns of onset and recurrence during adolescence. Four outcome groups by age 20 were defined (early onset-recurrent, early-onset-desisting, later-onset, never depressed) and compared on three variables predictive of youth…

  7. Suicide risk in depression and bipolar disorder: Do impulsiveness-aggressiveness and pharmacotherapy predict suicidal intent?

    Directory of Open Access Journals (Sweden)

    Maurizio Pompili

    2008-03-01

    Full Text Available Maurizio Pompili1,2, Marco Innamorati3, Michele Raja4, Ilaria Falcone2, Giuseppe Ducci5, Gloria Angeletti2, David Lester6, Paolo Girardi2, Roberto Tatarelli2, Eleonora De Pisa21McLean Hospital, Harvard Medical School, Boston, MA, USA; 2Department of Psychiatry, Sant’Andrea Hospital, “Sapienza” University of Rome, Italy; 3Università Europea di Roma, Italy; 4Diagnostic and Therapeutic Psychiatric Services, Department of Mental Health, Santo Spirito Hospital, Rome, Italy; 5Diagnostic and Therapeutic Psychiatric Services, Department of Mental Health, San Filippo Neri Hospital, Rome, Italy; 6Center for the Study of Suicide, Blackwood, NJ, USAAbstract: The aims of the present study were to examine clinical, personality, and sociodemographic predictors of suicide risk in a sample of inpatients affected by major affective disorders. The participants were 74 inpatients affected by major depressive disorder or bipolar disorder-I. Patients completed a semi-structured interview, the Beck Hopelessness Scale, the Aggression Questionnaire, the Barratt Impulsiveness Scale, and the Hamilton scales for depression and anxiety. Over 52% of the patients were high suicide risks. Those at risk reported more severe depressive-anxious symptomatology, more impulsivity and more hostility. Impulsivity, the use of antidepressants, anxiety/somatization, and the use of mood stabilizers (a negative predictor resulted in accurate predicting of suicide intent. Impulsivity and antidepressant use were the strongest predictors even after controlling for several sociodemographic and clinical variables.Keywords: suicide, mood disorders, pharmacotherapy, impulsiveness, aggressiveness

  8. The Mutual Effect of Marital Quality and Parenting Stress on Child and Parent Depressive Symptoms in Families of Children with Oppositional Defiant Disorder.

    Science.gov (United States)

    Lin, Xiuyun; Zhang, Yulin; Chi, Peilian; Ding, Wan; Heath, Melissa A; Fang, Xiaoyi; Xu, Shousen

    2017-01-01

    The purpose of the current study was to examine the mutual relationships between dyadic level (i.e., marital quality and parenting stress) and individual level factors (i.e., children and parental depressive symptoms) in families of children with Oppositional Defiant Disorder (ODD). Specifically, we explored whether marital interaction (marital quality) was associated with symptoms of child depression through parent-child interaction (parenting stress) and parent depressive symptoms. We also explored whether parent-child interaction was associated with symptoms of parent depression through marital interaction and child depressive symptoms. This study was conducted with 256 parent-child dyads, consisting of children with ODD and one of each child's parents. Participants were recruited from 14 primary schools located in northern, eastern, and southwestern China. Results revealed that marital quality predicted symptoms of child depression through the parenting stress, but not parent depressive symptoms; and parenting stress predicted symptoms of parent depression through marital quality, but not through child depressive symptoms. Also, parenting stress significantly and directly predicted parent depressive symptoms. We concluded in families of children with ODD, the association of marital interaction and parent-child interaction on both symptoms of parent and child depression highlighted the mutual effects of the couple subsystem and the parent-child subsystem. Furthermore, in regard to parental and child depressive symptoms, implications for intervention are provided.

  9. The Mutual Effect of Marital Quality and Parenting Stress on Child and Parent Depressive Symptoms in Families of Children with Oppositional Defiant Disorder

    Directory of Open Access Journals (Sweden)

    Xiuyun Lin

    2017-10-01

    Full Text Available The purpose of the current study was to examine the mutual relationships between dyadic level (i.e., marital quality and parenting stress and individual level factors (i.e., children and parental depressive symptoms in families of children with Oppositional Defiant Disorder (ODD. Specifically, we explored whether marital interaction (marital quality was associated with symptoms of child depression through parent-child interaction (parenting stress and parent depressive symptoms. We also explored whether parent-child interaction was associated with symptoms of parent depression through marital interaction and child depressive symptoms. This study was conducted with 256 parent-child dyads, consisting of children with ODD and one of each child's parents. Participants were recruited from 14 primary schools located in northern, eastern, and southwestern China. Results revealed that marital quality predicted symptoms of child depression through the parenting stress, but not parent depressive symptoms; and parenting stress predicted symptoms of parent depression through marital quality, but not through child depressive symptoms. Also, parenting stress significantly and directly predicted parent depressive symptoms. We concluded in families of children with ODD, the association of marital interaction and parent-child interaction on both symptoms of parent and child depression highlighted the mutual effects of the couple subsystem and the parent-child subsystem. Furthermore, in regard to parental and child depressive symptoms, implications for intervention are provided.

  10. The Mutual Effect of Marital Quality and Parenting Stress on Child and Parent Depressive Symptoms in Families of Children with Oppositional Defiant Disorder

    Science.gov (United States)

    Lin, Xiuyun; Zhang, Yulin; Chi, Peilian; Ding, Wan; Heath, Melissa A.; Fang, Xiaoyi; Xu, Shousen

    2017-01-01

    The purpose of the current study was to examine the mutual relationships between dyadic level (i.e., marital quality and parenting stress) and individual level factors (i.e., children and parental depressive symptoms) in families of children with Oppositional Defiant Disorder (ODD). Specifically, we explored whether marital interaction (marital quality) was associated with symptoms of child depression through parent-child interaction (parenting stress) and parent depressive symptoms. We also explored whether parent-child interaction was associated with symptoms of parent depression through marital interaction and child depressive symptoms. This study was conducted with 256 parent-child dyads, consisting of children with ODD and one of each child's parents. Participants were recruited from 14 primary schools located in northern, eastern, and southwestern China. Results revealed that marital quality predicted symptoms of child depression through the parenting stress, but not parent depressive symptoms; and parenting stress predicted symptoms of parent depression through marital quality, but not through child depressive symptoms. Also, parenting stress significantly and directly predicted parent depressive symptoms. We concluded in families of children with ODD, the association of marital interaction and parent-child interaction on both symptoms of parent and child depression highlighted the mutual effects of the couple subsystem and the parent-child subsystem. Furthermore, in regard to parental and child depressive symptoms, implications for intervention are provided. PMID:29104548

  11. Predicting response to cognitive therapy and interpersonal therapy, with or without antidepressant medication, for major depression: a pragmatic trial in routine practice

    NARCIS (Netherlands)

    Huibers, M.J.H.; van Breukelen, G.; Roelofs, J.; Hollon, S.D.; Markowitz, J.C.; van Os, J.; Arntz, A.; Peeters, F.

    2014-01-01

    Background: Identifying patient characteristics that predict response within treatments (prognostic) or between treatments (prescriptive) can inform clinical decision-making. In this study, we sought to identify predictors of response to evidence-based treatments in a sample of depressed patients

  12. Predicting response to cognitive therapy and interpersonal therapy, with or without antidepressant medication, for major depression: A pragmatic trial in routine practice

    NARCIS (Netherlands)

    Huibers, M.J.H.; van Breukelen, G.J.; Roelofs, J.T.H.; Hollon, S.D.; Markowitz, J.C.; Os, J. V.; Arntz, A.; Peeters, F.

    2014-01-01

    Background Identifying patient characteristics that predict response within treatments (prognostic) or between treatments (prescriptive) can inform clinical decision-making. In this study, we sought to identify predictors of response to evidence-based treatments in a sample of depressed patients

  13. Inherent vulnerabilities in monoaminergic pathways predict the emergence of depressive impairments in an animal model of chronic epilepsy.

    Science.gov (United States)

    Medel-Matus, Jesús-Servando; Shin, Don; Sankar, Raman; Mazarati, Andrey

    2017-08-01

    The objective was to determine whether the depression comorbid with epilepsy could be predicted based on inherent premorbid patterns of monoaminergic transmission. In male Wistar rats, despair-like and anhedonia-like behaviors were examined using forced swimming and taste preference tests, respectively. Serotonergic raphe nucleus (RN)-prefrontal cortex (PFC) and dopaminergic ventral tegmental area (VTA)-nucleus accumbens (NAcc) pathways were interrogated by fast scan cyclic voltammetry (FSCV). The assays were performed before and 2 months after pilocarpine status epilepticus. In a subset of naive rats, FSCV, coupled with the intensity-dependent stimulation paradigm, detected specific deviations in each pathway (six rats for RN-PFC and seven rats for VTA-NAcc, with overlap in two, of 19 total subjects) in the absence of behavioral impairments. During epilepsy, animals with preexisting deviations in RN-PFC invariably developed despair, and rats with deviations in VTA-NAcc developed anhedonia. Serotonergic and dopaminergic pathways, respectively, showed signs of explicit deterioration. We suggest that epilepsy triggers decompensations in the already vulnerable depression-relevant neuronal circuits, which culminate in depression. The established connection between the identified specific signatures in monoamine transmission in naive rats and specific symptoms of epilepsy-associated depression may help in understanding causes of comorbidity and in developing its early biomarkers. Wiley Periodicals, Inc. © 2017 International League Against Epilepsy.

  14. Storm Impact and Depression Among Older Adults Living in Hurricane Sandy-Affected Areas.

    Science.gov (United States)

    Sirey, Jo Anne; Berman, Jacquelin; Halkett, Ashley; Giunta, Nancy; Kerrigan, Janice; Raeifar, Elmira; Artis, Amanda; Banerjee, Samprit; Raue, Patrick J

    2017-02-01

    Research on the impact of natural disasters on the mental health of older adults finds both vulnerabilities and resilience. We report on the rates of clinically significant depression among older adults (aged ≥60 years) living in areas affected by Hurricane Sandy in 2012 and the factors associated with mental health need. The Sandy Mobilization, Assessment, Referral and Treatment for Mental Health (SMART-MH) program integrates community outreach and needs assessments to identify older adults with mental health and aging service needs. Older adults with significant anxiety or depressive symptoms were offered short-term psychotherapy. Social service referrals were made directly to community agencies. All SMART-MH activities were offered in Spanish, Russian, Mandarin/Cantonese, and English. Across the full sample, 14% of participants screened positive for depression. Hurricane Sandy stressors predicted increased odds of depression, including storm injury, post-storm crime, and the total count of stressors. Outcomes varied significantly by age group, such that all Sandy-related variables remained significant for younger-old adults (aged 60-74 years), whereas only the loss of access to medical care was significant for older-old adults (aged ≥75 years). Storm-affected communities show higher rates of depressive symptoms than seen in the general population, with storm stressors affecting mental health needs differentially by age group. (Disaster Med Public Health Preparedness. 2017;11:97-109).

  15. Stressful life events and neuroticism as predictors of late-life versus early-life depression.

    Science.gov (United States)

    Weber, Kerstin; Giannakopoulos, Panteleimon; Herrmann, François R; Bartolomei, Javier; Digiorgio, Sergio; Ortiz Chicherio, Nadia; Delaloye, Christophe; Ghisletta, Paolo; Lecerf, Thierry; De Ribaupierre, Anik; Canuto, Alessandra

    2013-12-01

    The occurrence of depression in younger adults is related to the combination of long-standing factors such as personality traits (neuroticism) and more acute factors such as the subjective impact of stressful life events. Whether an increase in physical illnesses changes these associations in old age depression remains a matter of debate. We compared 79 outpatients with major depression and 102 never-depressed controls; subjects included both young (mean age: 35 years) and older (mean age: 70 years) adults. Assessments included the Social Readjustment Rating Scale, NEO Personality Inventory and Cumulative Illness Rating Scale. Logistic regression models analyzed the association between depression and subjective impact of stressful life events while controlling for neuroticism and physical illness. Patients and controls experienced the same number of stressful life events in the past 12 months. However, in contrast to the controls, patients associated the events with a subjective negative emotional impact. Negative stress impact and levels of neuroticism, but not physical illness, significantly predicted depression in young age. In old age, negative stress impact was weakly associated with depression. In this age group, depressive illness was also determined by physical illness burden and neuroticism. Our data suggest that the subjective impact of life stressors, although rated as of the same magnitude, plays a less important role in accounting for depression in older age compared to young age. They also indicate an increasing weight of physical illness burden in the prediction of depression occurrence in old age. © 2013 The Authors. Psychogeriatrics © 2013 Japanese Psychogeriatric Society.

  16. Subsyndromal symptomatic depression: a new concept.

    Science.gov (United States)

    Sadek, N; Bona, J

    2000-01-01

    Although DSM-IV acknowledged the clinical significance of some subthreshold forms of unipolar depression, such as minor depression (MinD) and recurrent brief depression (RBD), clinicians continued to struggle with the concept of "subthreshold" depression. A substantial number of patients continued to present with depressive symptoms that still did not satisfy any DSM-IV diagnosis. Generally, these patients failed to complain of anhedonia and depressed mood, a criterion that DSM-IV mandates for any diagnosis of depression. Therefore, researchers reexamined the question of whether this cluster of depressive symptoms, in the absence of anhedonia and depressed mood, was clinically significant. Some researchers labeled this cluster of symptoms, "subsyndromal symptomatic depression" (SSD). Specifically, SSD is defined as a depressive state having two or more symptoms of depression of the same quality as in major depression (MD), excluding depressed mood and anhedonia. The symptoms must be present for more than 2 weeks and be associated with social dysfunction. Using Medline Search, the authors reviewed the literature on the epidemiology, demographics, clinical characteristics, and psychosocial impairment of SSD. SSD is found to be comparable in demographics and clinical characteristics to MD, MinD, and dysthymia. SSD is also associated with significant psychosocial dysfunction as compared with healthy subjects. Further; it has significant risk for suicide and future MD. Few studies have been conducted on the treatment of SSD. The high prevalence of SSD, the significant psychosocial impairment associated with it, and the chronicity of its course make subsyndromal symptomatic depression a matter for serious consideration by clinicians and researchers.

  17. Chronic diseases, lack of medications, and depression among Syrian refugees in Jordan, 2013-2014.

    Science.gov (United States)

    Gammouh, Omar Salem; Al-Smadi, Ahmed Mohammad; Tawalbeh, Loai Issa; Khoury, Laurice Sami

    2015-01-29

    Studying mental and physical health problems in refugees facilitates providing suitable health care, thus improving their quality of life. We studied depression tendency in Syrian refugees in Jordan in the light of chronic diseases and medication availability. Also, depression prevalence and depression comorbidity with chronic diseases were identified. In this multicenter cross-sectional survey, data from Syrian refugees attending Caritas centers in 6 Jordanian cities from November 2013 through June 2014 were analyzed. Participants' demographics, depression, previously diagnosed chronic diseases, and newly diagnosed chronic diseases and the availability of medications were studied. Logistic regression was used to examine predictors for depression. Of 765 refugees who participated, about one-third demonstrated significant depression as measured by the Beck Depression Inventory. Descriptive analyses showed that depression was comorbid in 35% of participants with previously diagnosed chronic diseases and in 40% of participants with newly diagnosed chronic diseases. Newly diagnosed chronic diseases and lack of medications significantly contributed to depression, but the regression model as a whole explained less than 5% of the variance. Because the regression model showed low effect size, we concluded that newly diagnosed chronic diseases and medication shortages could not predict depression in Syrian refugees residing in Jordan. Therefore, further studies of additional factors are recommended. Prompt measures have to be taken to prevent the spread of chronic diseases and improve mental health in this fragile population.

  18. Depression and anxiety mediate the relationship between temperament and character and psychotic-like experiences in healthy subjects.

    Science.gov (United States)

    Prochwicz, Katarzyna; Gawęda, Łukasz

    2016-12-30

    In this study we examined the hypothesis that depression and anxiety may mediate the relationship between personality traits and both positive and negative psychotic-like experiences (PLEs) in healthy adults. The Community Assessment of Psychic Experiences (CAPE) scale, Temperament and Character Inventory (TCI), Beck Depression Inventory (BDI) and State and Trait Anxiety Inventory (STAI) were administered to 492 healthy individuals. Multiple stepwise regression and mediation analyses were performed to examine whether depressive and anxiety symptoms influence the relationship between the TCI dimensions and positive and negative PLEs. Self-transcendence, persistence, novelty-seeking and self-directedness significantly predicted positive PLEs; self-directedness and harm avoidance were predictable for negative PLEs. Self-transcendence, self-directedness, persistence and harm avoidance also predicted the distress caused by positive PLEs, whereas self-directedness and harm avoidance predicted distress raised by negative PLEs. Depressive symptoms and the state of anxiety partially mediated the linkage between self-directedness and positive PLEs, and between self-directedness, harm avoidance and negative PLEs. Our findings confirm that the personality pattern influences both positive and negative PLEs as well as distress caused by experiencing positive and negative PLEs, and they indicate that certain personality traits may influence the development of PLEs via the emotional pathway of heightened depression and anxiety. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  19. Physical Activity, Sedentary Behavior, and Symptoms of Major Depression in Middle Childhood.

    Science.gov (United States)

    Zahl, Tonje; Steinsbekk, Silje; Wichstrøm, Lars

    2017-02-01

    The prospective relation between physical activity and Diagnostic and Statistical Manual of Mental Disorders-defined major depression in middle childhood is unknown, as is the stability of depression. We therefore aimed to (1) determine whether there are reciprocal relations between moderate-to-vigorous physical activity (MVPA) and sedentary behavior, on one hand, and Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition defined symptoms of major depressive disorder, on the other and (2) assess the extent of stability in depressive symptoms from age 6 to 10 years. A community sample of children living in Trondheim, Norway, comprising a total of 795 6-year-old children was followed up at 8 (n = 699) and 10 (n = 702) years of age. Physical activity was recorded by accelerometry and symptoms of major depression were measured through semistructured clinical interviews of parents and children. Bidirectional relationships between MVPA, sedentary activity, and symptoms of depression were analyzed through autoregressive cross-lagged models, and adjusted for symptoms of comorbid psychiatric disorders and BMI. At both age 6 and 8 years, higher MVPA predicted fewer symptoms of major depressive disorders 2 years later. Sedentary behavior did not predict depression, and depression predicted neither MVPA nor sedentary activity. The number of symptoms of major depression declined from ages 6 to 8 years and evidenced modest continuity. MVPA predicts fewer symptoms of major depression in middle childhood, and increasing MVPA may serve as a complementary method to prevent and treat childhood depression. Copyright © 2017 by the American Academy of Pediatrics.

  20. Gratitude uniquely predicts lower depression in chronic illness populations: A longitudinal study of inflammatory bowel disease and arthritis.

    Science.gov (United States)

    Sirois, Fuschia M; Wood, Alex M

    2017-02-01

    Although gratitude has been identified as a key clinically relevant trait for improving well-being, it is understudied within medical populations. The current study addressed this gap and extended previous and limited cross-sectional research by examining the longitudinal associations of gratitude to depression in 2 chronic illness samples, arthritis and inflammatory bowel disease (IBD). Two chronic illness samples, arthritis (N = 423) and IBD (N = 427), completed online surveys at Time 1 (T1). One hundred sixty-three people with arthritis and 144 people with IBD completed the 6-month follow-up survey (T2). Depression, gratitude, illness cognitions, perceived stress, social support, and disease-related variables were assessed at T1 and T2. At T2, 57.2% of the arthritis sample and 53.4% of the IBD sample met the cut off scores for significant depression. T1 gratitude was negatively associated with depressive symptoms at T1 and T2 in both samples (rs from -.43 to -.50). Regression analyses revealed that T1 gratitude remained a significant and unique predictor of lower T2 depression after controlling for T1 depression, relevant demographic variables, illness cognitions, changes in illness-relevant variables, and another positive psychological construct, thriving, in both samples. As the first investigation of the longitudinal associations of gratitude to psychological well-being in the context of chronic illness, the current study provides important evidence for the relevance of gratitude for health-related clinical populations. Further intervention-based research is warranted to more fully understand the potential benefits of gratitude for adjustment to chronic illness. (PsycINFO Database Record (c) 2017 APA, all rights reserved).