Sample records for regression analysis depressive
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Directory of Open Access Journals (Sweden)
Cape John
2010-06-01
Full Text Available Abstract Background Psychological therapies provided in primary care are usually briefer than in secondary care. There has been no recent comprehensive review comparing their effectiveness for common mental health problems. We aimed to compare the effectiveness of different types of brief psychological therapy administered within primary care across and between anxiety, depressive and mixed disorders. Methods Meta-analysis and meta-regression of randomized controlled trials of brief psychological therapies of adult patients with anxiety, depression or mixed common mental health problems treated in primary care compared to primary care treatment as usual. Results Thirty-four studies, involving 3962 patients, were included. Most were of brief cognitive behaviour therapy (CBT; n = 13, counselling (n = 8 or problem solving therapy (PST; n = 12. There was differential effectiveness between studies of CBT, with studies of CBT for anxiety disorders having a pooled effect size [d -1.06, 95% confidence interval (CI -1.31 to -0.80] greater than that of studies of CBT for depression (d -0.33, 95% CI -0.60 to -0.06 or studies of CBT for mixed anxiety and depression (d -0.26, 95% CI -0.44 to -0.08. Counselling for depression and mixed anxiety and depression (d -0.32, 95% CI -0.52 to -0.11 and problem solving therapy (PST for depression and mixed anxiety and depression (d -0.21, 95% CI -0.37 to -0.05 were also effective. Controlling for diagnosis, meta-regression found no difference between CBT, counselling and PST. Conclusions Brief CBT, counselling and PST are all effective treatments in primary care, but effect sizes are low compared to longer length treatments. The exception is brief CBT for anxiety, which has comparable effect sizes.
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Agarwal, Parul; Sambamoorthi, Usha
2015-12-01
Depression is common among individuals with osteoarthritis and leads to increased healthcare burden. The objective of this study was to examine excess total healthcare expenditures associated with depression among individuals with osteoarthritis in the US. Adults with self-reported osteoarthritis (n = 1881) were identified using data from the 2010 Medical Expenditure Panel Survey (MEPS). Among those with osteoarthritis, chi-square tests and ordinary least square regressions (OLS) were used to examine differences in healthcare expenditures between those with and without depression. Post-regression linear decomposition technique was used to estimate the relative contribution of different constructs of the Anderson's behavioral model, i.e., predisposing, enabling, need, personal healthcare practices, and external environment factors, to the excess expenditures associated with depression among individuals with osteoarthritis. All analysis accounted for the complex survey design of MEPS. Depression coexisted among 20.6 % of adults with osteoarthritis. The average total healthcare expenditures were $13,684 among adults with depression compared to $9284 among those without depression. Multivariable OLS regression revealed that adults with depression had 38.8 % higher healthcare expenditures (p regression linear decomposition analysis indicated that 50 % of differences in expenditures among adults with and without depression can be explained by differences in need factors. Among individuals with coexisting osteoarthritis and depression, excess healthcare expenditures associated with depression were mainly due to comorbid anxiety, chronic conditions and poor health status. These expenditures may potentially be reduced by providing timely intervention for need factors or by providing care under a collaborative care model.
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Choi, Hyungyun; Kim, Ho
2017-01-01
Achieving national health equity is currently a pressing issue. Large regional variations in the health determinants are observed. Depression, one of the most common mental disorders, has large variations in incidence among different populations, and thus must be regionally analyzed. The present study aimed at analyzing regional disparities in depressive symptoms and identifying the health determinants that require regional interventions. Using health indicators of depression in the Korea Community Health Survey 2011 and 2013, the Moran's I was calculated for each variable to assess spatial autocorrelation, and a validated geographically weighted regression analysis using ArcGIS version 10.1 of different domains: health behavior, morbidity, and the social and physical environments were created, and the final model included a combination of significant variables in these models. In the health behavior domain, the weekly breakfast intake frequency of 1-2 times was the most significantly correlated with depression in all regions, followed by exposure to secondhand smoke and the level of perceived stress in some regions. In the morbidity domain, the rate of lifetime diagnosis of myocardial infarction was the most significantly correlated with depression. In the social and physical environment domain, the trust environment within the local community was highly correlated with depression, showing that lower the level of trust, higher was the level of depression. A final model was constructed and analyzed using highly influential variables from each domain. The models were divided into two groups according to the significance of correlation of each variable with the experience of depression symptoms. The indicators of the regional health status are significantly associated with the incidence of depressive symptoms within a region. The significance of this correlation varied across regions.
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Directory of Open Access Journals (Sweden)
Hyungyun Choi
2017-06-01
Full Text Available OBJECTIVES Achieving national health equity is currently a pressing issue. Large regional variations in the health determinants are observed. Depression, one of the most common mental disorders, has large variations in incidence among different populations, and thus must be regionally analyzed. The present study aimed at analyzing regional disparities in depressive symptoms and identifying the health determinants that require regional interventions. METHODS Using health indicators of depression in the Korea Community Health Survey 2011 and 2013, the Moran’s I was calculated for each variable to assess spatial autocorrelation, and a validated geographically weighted regression analysis using ArcGIS version 10.1 of different domains: health behavior, morbidity, and the social and physical environments were created, and the final model included a combination of significant variables in these models. RESULTS In the health behavior domain, the weekly breakfast intake frequency of 1-2 times was the most significantly correlated with depression in all regions, followed by exposure to secondhand smoke and the level of perceived stress in some regions. In the morbidity domain, the rate of lifetime diagnosis of myocardial infarction was the most significantly correlated with depression. In the social and physical environment domain, the trust environment within the local community was highly correlated with depression, showing that lower the level of trust, higher was the level of depression. A final model was constructed and analyzed using highly influential variables from each domain. The models were divided into two groups according to the significance of correlation of each variable with the experience of depression symptoms. CONCLUSIONS The indicators of the regional health status are significantly associated with the incidence of depressive symptoms within a region. The significance of this correlation varied across regions.
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Stubbs, Brendon; Vancampfort, Davy; Rosenbaum, Simon; Ward, Philip B; Richards, Justin; Soundy, Andrew; Veronese, Nicola; Solmi, Marco; Schuch, Felipe B
2016-01-15
Exercise has established efficacy in improving depressive symptoms. Dropouts from randomized controlled trials (RCT's) pose a threat to the validity of this evidence base, with dropout rates varying across studies. We conducted a systematic review and meta-analysis to investigate the prevalence and predictors of dropout rates among adults with depression participating in exercise RCT's. Three authors identified RCT's from a recent Cochrane review and conducted updated searches of major electronic databases from 01/2013 to 08/2015. We included RCT's of exercise interventions in people with depression (including major depressive disorder (MDD) and depressive symptoms) that reported dropout rates. A random effects meta-analysis and meta regression were conducted. Overall, 40 RCT's were included reporting dropout rates across 52 exercise interventions including 1720 people with depression (49.1 years (range=19-76 years), 72% female (range=0-100)). The trim and fill adjusted prevalence of dropout across all studies was 18.1% (95%CI=15.0-21.8%) and 17.2% (95%CI=13.5-21.7, N=31) in MDD only. In MDD participants, higher baseline depressive symptoms (β=0.0409, 95%CI=0.0809-0.0009, P=0.04) predicted greater dropout, whilst supervised interventions delivered by physiotherapists (β=-1.2029, 95%CI=-2.0967 to -0.3091, p=0.008) and exercise physiologists (β=-1.3396, 95%CI=-2.4478 to -0.2313, p=0.01) predicted lower dropout. A comparative meta-analysis (N=29) established dropout was lower in exercise than control conditions (OR=0.642, 95%CI=0.43-0.95, p=0.02). Exercise is well tolerated by people with depression and drop out in RCT's is lower than control conditions. Thus, exercise is a feasible treatment, in particular when delivered by healthcare professionals with specific training in exercise prescription. Copyright © 2015 Elsevier B.V. All rights reserved.
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Nelemans, S A; Branje, S J T; Hale, W W; Goossens, L; Koot, H M; Oldehinkel, A J; Meeus, W H J
2016-10-01
Adolescence is a critical period for the development of depressive symptoms. Lower quality of the parent-adolescent relationship has been consistently associated with higher adolescent depressive symptoms, but discrepancies in perceptions of parents and adolescents regarding the quality of their relationship may be particularly important to consider. In the present study, we therefore examined how discrepancies in parents' and adolescents' perceptions of the parent-adolescent relationship were associated with early adolescent depressive symptoms, both concurrently and longitudinally over a 1-year period. Our sample consisted of 497 Dutch adolescents (57 % boys, M age = 13.03 years), residing in the western and central regions of the Netherlands, and their mothers and fathers, who all completed several questionnaires on two occasions with a 1-year interval. Adolescents reported on depressive symptoms and all informants reported on levels of negative interaction in the parent-adolescent relationship. Results from polynomial regression analyses including interaction terms between informants' perceptions, which have recently been proposed as more valid tests of hypotheses involving informant discrepancies than difference scores, suggested the highest adolescent depressive symptoms when both the mother and the adolescent reported high negative interaction, and when the adolescent reported high but the father reported low negative interaction. This pattern of findings underscores the need for a more sophisticated methodology such as polynomial regression analysis including tests of moderation, rather than the use of difference scores, which can adequately address both congruence and discrepancies in perceptions of adolescents and mothers/fathers of the parent-adolescent relationship in detail. Such an analysis can contribute to a more comprehensive understanding of risk factors for early adolescent depressive symptoms.
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Liang L; Hayashi K; Bennett P; Johnson T. J; Aten J. D
2015-01-01
To understand the relationship between the structure of resource loss and depression after disaster exposure, the components of resource loss and the impact of these resource loss components on depression was examined among college students (N=654) at two universities who were affected by Hurricane Katrina. The component of resource loss was analyzed by principal component analysis first. Gender, social relationship loss, and financial loss were then examined with the regression model on depr...
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Energy Technology Data Exchange (ETDEWEB)
Guangren Shi; Xingxi Zhou; Guangya Zhang; Xiaofeng Shi; Honghui Li [Research Institute of Petroleum Exploration and Development, Beijing (China)
2004-03-01
Artificial neural network analysis is found to be far superior to multiple regression when applied to the evaluation of trap quality in the Northern Kuqa Depression, a gas-rich depression of Tarim Basin in western China. This is because this technique can correlate the complex and non-linear relationship between trap quality and related geological factors, whereas multiple regression can only describe a linear relationship. However, multiple regression can work as an auxiliary tool, as it is suited to high-speed calculations and can indicate the degree of dependence between the trap quality and its related geological factors which artificial neural network analysis cannot. For illustration, we have investigated 30 traps in the Northern Kuqa Depression. For each of the traps, the values of 14 selected geological factors were all known. While geologists were also able to assign individual trap quality values to 27 traps, they were less certain about the values for the other three traps. Multiple regression and artificial neural network analysis were, therefore, respectively used to ascertain these values. Data for the 27 traps were used as known sample data, while the three traps were used as prediction candidates. Predictions from artificial neural network analysis are found to agree with exploration results: where simulation predicted high trap quality, commercial quality flows were afterwards found, and where low trap quality is indicated, no such discoveries have yet been made. On the other hand, multiple regression results indicate the order of dependence of the trap quality on geological factors, which reconciles with what geologists have commonly recognized. We can conclude, therefore, that the application of artificial neural network analysis with the aid of multiple regression to trap evaluation in the Northern Kuqa Depression has been quite successful. To ensure the precision of the above mentioned geological factors and their related parameters for each
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Regression analysis with categorized regression calibrated exposure: some interesting findings
Directory of Open Access Journals (Sweden)
Hjartåker Anette
2006-07-01
Full Text Available Abstract Background Regression calibration as a method for handling measurement error is becoming increasingly well-known and used in epidemiologic research. However, the standard version of the method is not appropriate for exposure analyzed on a categorical (e.g. quintile scale, an approach commonly used in epidemiologic studies. A tempting solution could then be to use the predicted continuous exposure obtained through the regression calibration method and treat it as an approximation to the true exposure, that is, include the categorized calibrated exposure in the main regression analysis. Methods We use semi-analytical calculations and simulations to evaluate the performance of the proposed approach compared to the naive approach of not correcting for measurement error, in situations where analyses are performed on quintile scale and when incorporating the original scale into the categorical variables, respectively. We also present analyses of real data, containing measures of folate intake and depression, from the Norwegian Women and Cancer study (NOWAC. Results In cases where extra information is available through replicated measurements and not validation data, regression calibration does not maintain important qualities of the true exposure distribution, thus estimates of variance and percentiles can be severely biased. We show that the outlined approach maintains much, in some cases all, of the misclassification found in the observed exposure. For that reason, regression analysis with the corrected variable included on a categorical scale is still biased. In some cases the corrected estimates are analytically equal to those obtained by the naive approach. Regression calibration is however vastly superior to the naive method when applying the medians of each category in the analysis. Conclusion Regression calibration in its most well-known form is not appropriate for measurement error correction when the exposure is analyzed on a
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Radford, Sholto; Eames, Catrin; Brennan, Kate; Lambert, Gwladys; Crane, Catherine; Williams, J. Mark G.; Duggan, Danielle S.; Barnhofer, Thorsten
2014-01-01
Mindfulness has been suggested to be an important protective factor for emotional health. However, this effect might vary with regard to context. This study applied a novel statistical approach, quantile regression, in order to investigate the relation between trait mindfulness and residual depressive symptoms in individuals with a history of recurrent depression, while taking into account symptom severity and number of episodes as contextual factors. Rather than fitting to a single indicator of central tendency, quantile regression allows exploration of relations across the entire range of the response variable. Analysis of self-report data from 274 participants with a history of three or more previous episodes of depression showed that relatively higher levels of mindfulness were associated with relatively lower levels of residual depressive symptoms. This relationship was most pronounced near the upper end of the response distribution and moderated by the number of previous episodes of depression at the higher quantiles. The findings suggest that with lower levels of mindfulness, residual symptoms are less constrained and more likely to be influenced by other factors. Further, the limiting effect of mindfulness on residual symptoms is most salient in those with higher numbers of episodes. PMID:24988072
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Wesołowska, Karolina; Elovainio, Marko; Hintsa, Taina; Jokela, Markus; Pulkki-Råback, Laura; Pitkänen, Niina; Lipsanen, Jari; Tukiainen, Janne; Lyytikäinen, Leo-Pekka; Lehtimäki, Terho; Juonala, Markus; Raitakari, Olli; Keltikangas-Järvinen, Liisa
2017-12-01
Type 2 diabetes (T2D) has been associated with depressive symptoms, but the causal direction of this association and the underlying mechanisms, such as increased glucose levels, remain unclear. We used instrumental-variable regression with a genetic instrument (Mendelian randomization) to examine a causal role of increased glucose concentrations in the development of depressive symptoms. Data were from the population-based Cardiovascular Risk in Young Finns Study (n = 1217). Depressive symptoms were assessed in 2012 using a modified Beck Depression Inventory (BDI-I). Fasting glucose was measured concurrently with depressive symptoms. A genetic risk score for fasting glucose (with 35 single nucleotide polymorphisms) was used as an instrumental variable for glucose. Glucose was not associated with depressive symptoms in the standard linear regression (B = -0.04, 95% CI [-0.12, 0.04], p = .34), but the instrumental-variable regression showed an inverse association between glucose and depressive symptoms (B = -0.43, 95% CI [-0.79, -0.07], p = .020). The difference between the estimates of standard linear regression and instrumental-variable regression was significant (p = .026) CONCLUSION: Our results suggest that the association between T2D and depressive symptoms is unlikely to be caused by increased glucose concentrations. It seems possible that T2D might be linked to depressive symptoms due to low glucose levels.
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Chin, Weng-Yee; Wan, Eric Yuk Fai; Dowrick, Christopher; Arroll, Bruce; Lam, Cindy Lo Kuen
2018-04-26
The aim of this study was to explore the relationship between patient self-reported Patient Health Questionnaire-9 (PHQ-9) symptoms and doctor diagnosis of depression using a tree analysis approach. This was a secondary analysis on a dataset obtained from 10 179 adult primary care patients and 59 primary care physicians (PCPs) across Hong Kong. Patients completed a waiting room survey collecting data on socio-demographics and the PHQ-9. Blinded doctors documented whether they thought the patient had depression. Data were analyzed using multiple logistic regression and conditional inference decision tree modeling. PCPs diagnosed 594 patients with depression. Logistic regression identified gender, age, employment status, past history of depression, family history of mental illness and recent doctor visit as factors associated with a depression diagnosis. Tree analyses revealed different pathways of association between PHQ-9 symptoms and depression diagnosis for patients with and without past depression. The PHQ-9 symptom model revealed low mood, sense of worthlessness, fatigue, sleep disturbance and functional impairment as early classifiers. The PHQ-9 total score model revealed cut-off scores of >12 and >15 were most frequently associated with depression diagnoses in patients with and without past depression. A past history of depression is the most significant factor associated with the diagnosis of depression. PCPs appear to utilize a hypothetical-deductive problem-solving approach incorporating pre-test probability, with different associated factors for patients with and without past depression. Diagnostic thresholds may be too low for patients with past depression and too high for those without, potentially leading to over and under diagnosis of depression.
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Cameron, Isobel M; Scott, Neil W; Adler, Mats; Reid, Ian C
2014-12-01
It is important for clinical practice and research that measurement scales of well-being and quality of life exhibit only minimal differential item functioning (DIF). DIF occurs where different groups of people endorse items in a scale to different extents after being matched by the intended scale attribute. We investigate the equivalence or otherwise of common methods of assessing DIF. Three methods of measuring age- and sex-related DIF (ordinal logistic regression, Rasch analysis and Mantel χ(2) procedure) were applied to Hospital Anxiety Depression Scale (HADS) data pertaining to a sample of 1,068 patients consulting primary care practitioners. Three items were flagged by all three approaches as having either age- or sex-related DIF with a consistent direction of effect; a further three items identified did not meet stricter criteria for important DIF using at least one method. When applying strict criteria for significant DIF, ordinal logistic regression was slightly less sensitive. Ordinal logistic regression, Rasch analysis and contingency table methods yielded consistent results when identifying DIF in the HADS depression and HADS anxiety scales. Regardless of methods applied, investigators should use a combination of statistical significance, magnitude of the DIF effect and investigator judgement when interpreting the results.
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Directory of Open Access Journals (Sweden)
Peter A Coventry
Full Text Available Collaborative care is a complex intervention based on chronic disease management models and is effective in the management of depression. However, there is still uncertainty about which components of collaborative care are effective. We used meta-regression to identify factors in collaborative care associated with improvement in patient outcomes (depressive symptoms and the process of care (use of anti-depressant medication.Systematic review with meta-regression. The Cochrane Collaboration Depression, Anxiety and Neurosis Group trials registers were searched from inception to 9th February 2012. An update was run in the CENTRAL trials database on 29th December 2013. Inclusion criteria were: randomised controlled trials of collaborative care for adults ≥18 years with a primary diagnosis of depression or mixed anxiety and depressive disorder. Random effects meta-regression was used to estimate regression coefficients with 95% confidence intervals (CIs between study level covariates and depressive symptoms and relative risk (95% CI and anti-depressant use. The association between anti-depressant use and improvement in depression was also explored. Seventy four trials were identified (85 comparisons, across 21,345 participants. Collaborative care that included psychological interventions predicted improvement in depression (β coefficient -0.11, 95% CI -0.20 to -0.01, p = 0.03. Systematic identification of patients (relative risk 1.43, 95% CI 1.12 to 1.81, p = 0.004 and the presence of a chronic physical condition (relative risk 1.32, 95% CI 1.05 to 1.65, p = 0.02 predicted use of anti-depressant medication.Trials of collaborative care that included psychological treatment, with or without anti-depressant medication, appeared to improve depression more than those without psychological treatment. Trials that used systematic methods to identify patients with depression and also trials that included patients with a chronic physical
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Regression analysis by example
Chatterjee, Samprit
2012-01-01
Praise for the Fourth Edition: ""This book is . . . an excellent source of examples for regression analysis. It has been and still is readily readable and understandable."" -Journal of the American Statistical Association Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. Regression Analysis by Example, Fifth Edition has been expanded
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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.
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Bartoli, Francesco; Clerici, Massimo; Di Brita, Carmen; Riboldi, Ilaria; Crocamo, Cristina; Carrà, Giuseppe
2018-04-01
Randomised placebo-controlled trials investigating treatments for bipolar disorder have been hampered by wide variations of active drugs and placebo clinical response rates. It is important to estimate whether the active drug or placebo response has a greater influence in determining the relative efficacy of drugs for psychosis (antipsychotics) and relapse prevention (mood stabilisers) for bipolar depression and mania. We identified 53 randomised, placebo-controlled trials assessing antipsychotic or mood stabiliser monotherapy ('active drugs') for bipolar depression or mania. We carried out random-effects meta-regressions, estimating the influence of active drugs and placebo response rates on treatment relative efficacy. Meta-regressions showed that treatment relative efficacy for bipolar mania was influenced by the magnitude of clinical response to active drugs ( p=0.002), but not to placebo ( p=0.60). On the other hand, treatment relative efficacy for bipolar depression was influenced by response to placebo ( p=0.047), but not to active drugs ( p=0.98). Despite several limitations, our unexpected findings showed that antipsychotics / mood stabilisers relative efficacy for bipolar depression seems unrelated to active drugs response rates, depending only on clinical response to placebo. Future research should explore strategies to reduce placebo-related issues in randomised, placebo-controlled trials for bipolar depression.
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Comparative Analysis of Emotional Symptoms in Elderly Koreans with Hwa-Byung and Depression.
Im, Chae-Sung; Baeg, Sengmi; Choi, Jin-Hoon; Lee, Miji; Kim, Hyun-Jin; Chee, Ik-Seung; Ahn, So-Hyun; Kim, Jeong Lan
2017-11-01
This study compared the symptomatic emotional traits of elderly South Korean patients with hwa-byung and those with depression. We enrolled 58 patients with hwa-byung, 180 patients with depression, and 181 healthy control subjects. All participants completed the Hwa-byung Scale, Hamilton Depression Rating Scale (HDRS), Beck Depression Inventory (BDI), Geriatric Depression Scale (GDS), State Trait Anger Expression Inventory (STAXI), Reaction Inventory (RI), and Aggression Questionnaire (AQ). Chi-square tests and a one-way analysis of variance with Games-Howell post-hoc tests were used to compare demographic variables and scores. A binary logistic regression analysis was used to examine risk factors for hwa-byung. Scores in the hwa-byung group were higher than those in the depression group for the HDRS; BDI; GDS; trait anger STAXI subscale (trait anger temperament and trait anger reaction); state anger and anger expression STAXI subscales (anger-in, anger-out, and anger control); physical and verbal aggression as well as anger and hostility AQ subscales; and disturbance, embarrassing circumstances, personal disrespect, and unpleasant encounters RI subscales. A binary logistic regression analysis demonstrated that the state anger STAXI subscale, verbal aggression and anger AQ subscales, and unpleasant encounters RI subscale were significantly associated with hwa-byung. Elderly patients with hwa-byung had more severe anger traits and states as well as higher depression severity compared to those diagnosed with clinical depression. Excessive anger and anger reactivity to unpleasant factors may be risk factors for hwa-byung, whereas the appropriate expression (rather than suppression) of anger may decrease the risk of hwa-byung.
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Directory of Open Access Journals (Sweden)
Guanghao Sun
2016-11-01
Full Text Available Background and Objectives: Heart rate variability (HRV has been intensively studied as a promising biological marker of major depressive disorder (MDD. Our previous study confirmed that autonomic activity and reactivity in depression revealed by HRV during rest and mental task (MT conditions can be used as diagnostic measures and in clinical evaluation. In this study, logistic regression analysis (LRA was utilized for the classification and prediction of MDD based on HRV data obtained in an MT paradigm.Methods: Power spectral analysis of HRV on R-R intervals before, during, and after an MT (random number generation was performed in 44 drug-naïve patients with MDD and 47 healthy control subjects at Department of Psychiatry in Shizuoka Saiseikai General Hospital. Logit scores of LRA determined by HRV indices and heart rates discriminated patients with MDD from healthy subjects. The high frequency (HF component of HRV and the ratio of the low frequency (LF component to the HF component (LF/HF correspond to parasympathetic and sympathovagal balance, respectively.Results: The LRA achieved a sensitivity and specificity of 80.0% and 79.0%, respectively, at an optimum cutoff logit score (0.28. Misclassifications occurred only when the logit score was close to the cutoff score. Logit scores also correlated significantly with subjective self-rating depression scale scores (p < 0.05.Conclusion: HRV indices recorded during a mental task may be an objective tool for screening patients with MDD in psychiatric practice. The proposed method appears promising for not only objective and rapid MDD screening, but also evaluation of its severity.
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An Exploratory Analysis of Work Engagement, Satisfaction, and Depression in Psychiatry Residents.
Agarwal, Gaurava; Karpouzian, Tatiana
2016-02-01
This exploratory study aims to measure work engagement levels in psychiatry residents at three psychiatry residency programs using the Utrecht Work Engagement Scale (UWES). In addition, the study investigates the relationship between total engagement and its subscales, resident satisfaction, and a depression screen. Recruitment of 53/79 residents from three psychiatry residency programs in Illinois was completed. The residents were administered a questionnaire consisting of the UWES, the Primary Care Evaluation of Mental Disorders (Prime-MD) depression screen, and a residency satisfaction scale. Statistical analysis using independent samples t test and a one-way analysis of variance was used to assess differences on engagement total score and subscales and satisfaction scale. A logistic regression was used with the engagement subscales and the satisfaction scale as predictors of belonging to the depressed or non-depressed group. Psychiatry residents scored in the high range for total engagement and all its subscales except for vigor which was in the moderate range. Residents who screened positive for depression reported lower total engagement than those who were negative on the depression screen. Vigor was the only significant predictor (p = .004) of being in the depressed group after logistic regression. Total engagement and the subscale of dedication significantly predicted overall residency satisfaction (β = .473, p = .016). Higher total UWES-15 and its subscales of vigor and dedication are correlated with a lower rate of screening positive for depression and higher residency satisfaction. This exploratory study lends support for further study of this psychological construct in medical training programs, but replication is needed.
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Detecting depression stigma on social media: A linguistic analysis.
Li, Ang; Jiao, Dongdong; Zhu, Tingshao
2018-05-01
Efficient detection of depression stigma in mass media is important for designing effective stigma reduction strategies. Using linguistic analysis methods, this paper aims to build computational models for detecting stigma expressions in Chinese social media posts (Sina Weibo). A total of 15,879 Weibo posts with keywords were collected and analyzed. First, a content analysis was conducted on all 15,879 posts to determine whether each of them reflected depression stigma or not. Second, using four algorithms (Simple Logistic Regression, Multilayer Perceptron Neural Networks, Support Vector Machine, and Random Forest), two groups of classification models were built based on selected linguistic features; one for differentiating between posts with and without depression stigma, and one for differentiating among posts with three specific types of depression stigma. First, 967 of 15,879 posts (6.09%) indicated depression stigma. 39.30%, 15.82%, and 14.99% of them endorsed the stigmatizing view that "People with depression are unpredictable", "Depression is a sign of personal weakness", and "Depression is not a real medical illness", respectively. Second, the highest F-Measure value for differentiating between stigma and non-stigma reached 75.2%. The highest F-Measure value for differentiating among three specific types of stigma reached 86.2%. Due to the limited and imbalanced dataset of Chinese Weibo posts, the findings of this study might have limited generalizability. This paper confirms that incorporating linguistic analysis methods into online detection of stigma can be beneficial to improve the performance of stigma reduction programs. Copyright © 2018 Elsevier B.V. All rights reserved.
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Principal component regression analysis with SPSS.
Liu, R X; Kuang, J; Gong, Q; Hou, X L
2003-06-01
The paper introduces all indices of multicollinearity diagnoses, the basic principle of principal component regression and determination of 'best' equation method. The paper uses an example to describe how to do principal component regression analysis with SPSS 10.0: including all calculating processes of the principal component regression and all operations of linear regression, factor analysis, descriptives, compute variable and bivariate correlations procedures in SPSS 10.0. The principal component regression analysis can be used to overcome disturbance of the multicollinearity. The simplified, speeded up and accurate statistical effect is reached through the principal component regression analysis with SPSS.
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Kim, O-S; Kim, M S; Lee, J E; Jung, H
2016-12-01
The prevalence of night-eating syndrome (NES) and depression is increasing worldwide. Although nurses, in particular, are exposed to work in an environment of irregular eating, shift work, and stressful settings, limited research exist. In fact, the prevalence of NES among Korean nurses has never been reported. The aim of this study was to determine the prevalence of NES as well as the association between NES and severity of self-reported depressive symptoms among South Korean female nurses. The Korea Nurses' Health Study, following the protocols of the Nurses' Health Study led by the Harvard University, collected data on Korean female nurses. Survey responses from 3617 participants were included, and 404 responses were analyzed in this cross-sectional study using propensity score matching. Descriptive, Spearman's and Cramer's correlations, propensity score matching, and multivariable ordinal logistic regression were conducted as statistical analysis. The prevalence of both NES and self-reported depressive symptoms among Korean female nurses were higher compared with nurses in prior studies. Nurses with NES were 1.65 times more likely to have greater severity of depressive symptoms than those without NES (95% confidence interval [1.19-2.10], odds ratio = 1.65) after adjusting for covariates including sociodemographic characteristics, health behavioural factors, and shift work. This study suggests significant association between NES and the severity of self-reported depressive symptoms among Korean female nurses after adjusting for covariates. Policy makers and hospital managers need to develop strategies to reduce depression and NES among nurses for enhancement of nurses' mental and physical health as well as for improvement of care quality. Copyright © 2016 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.
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Wang, Jinghui; Wu, Xiaohang; Lai, Weiyi; Long, Erping; Zhang, Xiayin; Li, Wangting; Zhu, Yi; Chen, Chuan; Zhong, Xiaojian; Liu, Zhenzhen; Wang, Dongni; Lin, Haotian
2017-08-23
Depression and depressive symptoms are common mental disorders that have a considerable effect on patients' health-related quality of life and satisfaction with medical care, but the prevalence of these conditions varies substantially between published studies. The aim of this study is to conduct a systematic review and meta-analysis to provide a precise estimate of the prevalence of depression or depressive symptoms among outpatients in different clinical specialties. Systematic review and meta-analysis. The PubMed and PsycINFO, EMBASE and Cochrane Library databases were searched to identify observational studies that contained information on the prevalence of depression and depressive symptoms in outpatients. All studies included were published before January 2016. Data characteristics were extracted independently by two investigators. The point prevalence of depression or depressive symptoms was measured using validated self-report questionnaires or structured interviews. Assessments were pooled using a random-effects model. Differences in study-level characteristics were estimated by meta-regression analysis. Heterogeneity was assessed using standard χ 2 tests and the I 2 statistic. The study protocol has been registered with PROSPERO under number CRD42017054738. Eighty-three cross-sectional studies involving 41 344 individuals were included in this study. The overall pooled prevalence of depression or depressive symptoms was 27.0% (10 943/41 344 individuals; 95% CI 24.0% to 29.0%), with significant heterogeneity between studies (pdepression and depressive symptoms was observed in outpatients than in the healthy controls (OR 3.16, 95% CI 2.66 to 3.76, I 2 =72.0%, χ 2 =25.33). The highest depression/depressive symptom prevalence estimates occurred in studies of outpatients from otolaryngology clinics (53.0%), followed by dermatology clinics (39.0%) and neurology clinics (35.0%). Subgroup analyses showed that the prevalence of depression and depressive
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Directory of Open Access Journals (Sweden)
Stojanovic Zlatan
2014-04-01
Full Text Available Introduction: Knowledge of etiopathogenesis of post-stroke depressive phenomena contributes to early diagnostics which shortens recovery to a great extent and suits the social and professional rehabilitation of patients, if followed by proper psycho/pharmacotherapy. The aim of this work is to research dependence of depressive manifestations considering the size and anatomical localization of lesion. Subjects and Methods: The research included 118 patients with stroke. Lesion localization was defined on computerized axial tomography records, whereas the area and perimeter of lesion were measured by AutoCAD 2004 software. Examinations by means of Hamilton Rating Scale for Depression were carried out by the method of random selection 11–40 days after stroke. Correlation analysis was made by simple linear/nonlinear regression and Cox’s hazard regression model. Results: Negative correlation was observed between the intensity of depressive manifestations and the size of cerebrovascular lesion (Spearman’s r= – 0.263, P= 0.004. By means of Cox’s regression model we determined 4.389 times higher risk for depression occurrence in female patients (P< 0.001, as well as higher risk due to lobus limbicus structure damages (hazard ratio eb(HR = 2.661, P= 0.019. Conclusion: Lower intensity of depressive manifestations with larger cerebrovascular lesions, we have explained by activation of reparation mechanisms with energy savings and decrease (due to neurological deficits of afferent peripheral sensations which antecedent the occurrence of emotions (James-Lange peripheral theory of emotions.
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Directory of Open Access Journals (Sweden)
Jennifer Hahn-Holbrook
2018-02-01
Full Text Available BackgroundPostpartum depression (PPD poses a major global public health challenge. PPD is the most common complication associated with childbirth and exerts harmful effects on children. Although hundreds of PPD studies have been published, we lack accurate global or national PPD prevalence estimates and have no clear account of why PPD appears to vary so dramatically between nations. Accordingly, we conducted a meta-analysis to estimate the global and national prevalence of PPD and a meta-regression to identify economic, health, social, or policy factors associated with national PPD prevalence.MethodsWe conducted a systematic review of all papers reporting PPD prevalence using the Edinburgh Postnatal Depression Scale. PPD prevalence and methods were extracted from each study. Random effects meta-analysis was used to estimate global and national PPD prevalence. To test for country level predictors, we drew on data from UNICEF, WHO, and the World Bank. Random effects meta-regression was used to test national predictors of PPD prevalence.Findings291 studies of 296284 women from 56 countries were identified. The global pooled prevalence of PPD was 17.7% (95% confidence interval: 16.6–18.8%, with significant heterogeneity across nations (Q = 16,823, p = 0.000, I2 = 98%, ranging from 3% (2–5% in Singapore to 38% (35–41% in Chile. Nations with significantly higher rates of income inequality (R2 = 41%, maternal mortality (R2 = 19%, infant mortality (R2 = 16%, or women of childbearing age working ≥40 h a week (R2 = 31% have higher rates of PPD. Together, these factors explain 73% of the national variation in PPD prevalence.InterpretationThe global prevalence of PPD is greater than previously thought and varies dramatically by nation. Disparities in wealth inequality and maternal-child-health factors explain much of the national variation in PPD prevalence.
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Social isolation, loneliness and depression in young adulthood: a behavioural genetic analysis.
Matthews, Timothy; Danese, Andrea; Wertz, Jasmin; Odgers, Candice L; Ambler, Antony; Moffitt, Terrie E; Arseneault, Louise
2016-03-01
To investigate the association between social isolation and loneliness, how they relate to depression, and whether these associations are explained by genetic influences. We used data from the age-18 wave of the Environmental Risk Longitudinal Twin Study, a birth cohort of 1116 same-sex twin pairs born in England and Wales in 1994 and 1995. Participants reported on their levels of social isolation, loneliness and depressive symptoms. We conducted regression analyses to test the differential associations of isolation and loneliness with depression. Using the twin study design, we estimated the proportion of variance in each construct and their covariance that was accounted for by genetic and environmental factors. Social isolation and loneliness were moderately correlated (r = 0.39), reflecting the separateness of these constructs, and both were associated with depression. When entered simultaneously in a regression analysis, loneliness was more robustly associated with depression. We observed similar degrees of genetic influence on social isolation (40 %) and loneliness (38 %), and a smaller genetic influence on depressive symptoms (29 %), with the remaining variance accounted for by the non-shared environment. Genetic correlations of 0.65 between isolation and loneliness and 0.63 between loneliness and depression indicated a strong role of genetic influences in the co-occurrence of these phenotypes. Socially isolated young adults do not necessarily experience loneliness. However, those who are lonely are often depressed, partly because the same genes influence loneliness and depression. Interventions should not only aim at increasing social connections but also focus on subjective feelings of loneliness.
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Brabant, Marie-Eve; Hebert, Martine; Chagnon, Francois
2013-01-01
This study explored the clinical profiles of 77 female teenager survivors of sexual abuse and examined the association of abuse-related and personal variables with suicidal ideations. Analyses revealed that 64% of participants experienced suicidal ideations. Findings from classification and regression tree analysis indicated that depression,…
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Polynomial regression analysis and significance test of the regression function
International Nuclear Information System (INIS)
Gao Zhengming; Zhao Juan; He Shengping
2012-01-01
In order to analyze the decay heating power of a certain radioactive isotope per kilogram with polynomial regression method, the paper firstly demonstrated the broad usage of polynomial function and deduced its parameters with ordinary least squares estimate. Then significance test method of polynomial regression function is derived considering the similarity between the polynomial regression model and the multivariable linear regression model. Finally, polynomial regression analysis and significance test of the polynomial function are done to the decay heating power of the iso tope per kilogram in accord with the authors' real work. (authors)
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Applied regression analysis a research tool
Pantula, Sastry; Dickey, David
1998-01-01
Least squares estimation, when used appropriately, is a powerful research tool. A deeper understanding of the regression concepts is essential for achieving optimal benefits from a least squares analysis. This book builds on the fundamentals of statistical methods and provides appropriate concepts that will allow a scientist to use least squares as an effective research tool. Applied Regression Analysis is aimed at the scientist who wishes to gain a working knowledge of regression analysis. The basic purpose of this book is to develop an understanding of least squares and related statistical methods without becoming excessively mathematical. It is the outgrowth of more than 30 years of consulting experience with scientists and many years of teaching an applied regression course to graduate students. Applied Regression Analysis serves as an excellent text for a service course on regression for non-statisticians and as a reference for researchers. It also provides a bridge between a two-semester introduction to...
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Mitchell, Alex J; Sheth, Bhavisha; Gill, John; Yadegarfar, Motahare; Stubbs, Brendon; Yadegarfar, Mohammad; Meader, Nick
2017-07-01
To ascertain the prevalence and predictors of mood disorders, determined by structured clinical interviews (ICD or DSM criteria) in people after stroke. Major electronic databases were searched from inception to June 2016 for studies involving major depression (MDD), minor depression (MnD), dysthymia, adjustment disorder, any depressive disorder (any depressive disorder) and anxiety disorders. Studies were combined using both random and fixed effects meta-analysis and results were stratified as appropriate. Depression was examined on 147 occasions from 2days to 7years after stroke (mean 6.87months, N=33 in acute, N=43 in rehabilitation and N=69 in the community/outpatients). Across 128 analyses involving 15,573 patients assessed for major depressive disorder (MDD), the point prevalence of depression was 17.7% (95% CI=15.6% to 20.0%) 0.65 analyses involving 9720 patients determined MnD was present in 13.1% in all settings (95% CI=10.9% to 15.8%). Dysthymia was present in 3.1% (95% CI=2.1% to 5.3%), adjustment disorder in 6.9% (95% CI=4.6 to 9.7%) and anxiety in 9.8% (95% CI=5.9% to 14.8%). Any depressive disorder was present in 33.5% (95% CI=30.3% to 36.8%). The relative risk of any depressive disorder was higher following left (dominant) hemisphere stroke, aphasia, and among people with a family history and past history of mood disorders. Depression, adjustment disorder and anxiety are common after stroke. Risk factors are aphasia, dominant hemispheric lesions and past personal/family history of depression but not time since stroke. Copyright © 2017. Published by Elsevier Inc.
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Directory of Open Access Journals (Sweden)
Marcus Povitz
2014-11-01
Full Text Available BACKGROUND: Obstructive sleep apnea (OSA is associated with increased morbidity and mortality, and decreased quality of life. Treatment with continuous positive airway pressure (CPAP or mandibular advancement devices (MADs is effective for many symptoms of OSA. However, it remains controversial whether treatment with CPAP or MAD also improves depressive symptoms. METHODS AND FINDINGS: We performed a systematic review and meta-analysis of randomized controlled trials that examined the effect of CPAP or MADs on depressive symptoms in patients with OSA. We searched Medline, EMBASE, the Cochrane Central Registry of Controlled Trials, and PsycINFO from the inception of the databases until August 15, 2014, for relevant articles. In a random effects meta-analysis of 19 identified trials, CPAP treatment resulted in an improvement in depressive symptoms compared to control, but with significant heterogeneity between trials (Q statistic, p<0.001; I(2 = 71.3%, 95% CI: 54%, 82%. CPAP treatment resulted in significantly greater improvement in depressive symptoms in the two trials with a higher burden of depression at baseline (meta-regression, p<0.001. The pooled standardized mean difference (SMD in depressive symptoms with CPAP treatment in these two trial populations with baseline depression was 2.004 (95% CI: 1.387, 2.621, compared to 0.197 (95% CI: 0.059, 0.334 for 15 trials of populations without depression at baseline. Pooled estimates of the treatment effect of CPAP were greater in parallel arm trials than in crossover trials (meta-regression, p = 0.076. Random effects meta-analysis of five trials of MADs showed a significant improvement in depressive symptoms with MADs versus controls: SMD = 0.214 (95% CI: 0.026, 0.401 without significant heterogeneity (I(2 = 0%, 95% CI: 0%, 79%. Studies were limited by the use of depressive symptom scales that have not been validated specifically in people with OSA. CONCLUSIONS: CPAP and MADs may be useful
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Regression Analysis by Example. 5th Edition
Chatterjee, Samprit; Hadi, Ali S.
2012-01-01
Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. "Regression Analysis by Example, Fifth Edition" has been expanded and thoroughly…
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Gaussian process regression analysis for functional data
Shi, Jian Qing
2011-01-01
Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis, specifically the methods based on a Gaussian process prior in a functional space. The authors focus on problems involving functional response variables and mixed covariates of functional and scalar variables.Covering the basics of Gaussian process regression, the first several chapters discuss functional data analysis, theoretical aspects based on the asymptotic properties of Gaussian process regression models, and new methodological developments for high dime
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Iwata, Hiroko; Mori, Emi; Tsuchiya, Miyako; Sakajo, Akiko; Maehara, Kunie; Ozawa, Harumi; Morita, Akiko; Maekawa, Tomoko; Aoki, Kyoko; Tamakoshi, Koji
2016-01-01
Older maternal age has become more common in Japan. Studies suggest that older maternal age and primiparity are associated with post-partum depression. The present study aimed to identify predictors of post-partum depression in older Japanese primiparas at 1 month post-partum. Participants were 479 primiparas aged 35 years and over, drawn from a prospective cohort study. Data were collected using self-report questionnaires. Depression was measured with the Japanese version of the Edinburgh Postnatal Depression Scale. Stepwise logistic regression analysis was conducted on binary outcome variables of depression at 1 month post-partum, along with a stratified analysis based on the risk status of depression. Five predictors were identified: (i) the depression score during hospital stay; (ii) financial burden; (iii) dissatisfaction with appraisal support; (iv) physical burden in daily life; and (v) concerns about infant caretaking. Stratified analysis identified dissatisfaction with instrumental support in the low-risk group, and the Child-care Value Scale score as unique predictors in the high-risk group. These results highlight the importance of early assessment of depressive symptoms and the provision of continuous care. © 2015 Japan Academy of Nursing Science.
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Social Media Use and Depression and Anxiety Symptoms: A Cluster Analysis.
Shensa, Ariel; Sidani, Jaime E; Dew, Mary Amanda; Escobar-Viera, César G; Primack, Brian A
2018-03-01
Individuals use social media with varying quantity, emotional, and behavioral at- tachment that may have differential associations with mental health outcomes. In this study, we sought to identify distinct patterns of social media use (SMU) and to assess associations between those patterns and depression and anxiety symptoms. In October 2014, a nationally-representative sample of 1730 US adults ages 19 to 32 completed an online survey. Cluster analysis was used to identify patterns of SMU. Depression and anxiety were measured using respective 4-item Patient-Reported Outcome Measurement Information System (PROMIS) scales. Multivariable logistic regression models were used to assess associations between clus- ter membership and depression and anxiety. Cluster analysis yielded a 5-cluster solu- tion. Participants were characterized as "Wired," "Connected," "Diffuse Dabblers," "Concentrated Dabblers," and "Unplugged." Membership in 2 clusters - "Wired" and "Connected" - increased the odds of elevated depression and anxiety symptoms (AOR = 2.7, 95% CI = 1.5-4.7; AOR = 3.7, 95% CI = 2.1-6.5, respectively, and AOR = 2.0, 95% CI = 1.3-3.2; AOR = 2.0, 95% CI = 1.3-3.1, respectively). SMU pattern characterization of a large population suggests 2 pat- terns are associated with risk for depression and anxiety. Developing educational interventions that address use patterns rather than single aspects of SMU (eg, quantity) would likely be useful.
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International Nuclear Information System (INIS)
Jafri, Y.Z.; Kamal, L.
2007-01-01
Various statistical techniques was used on five-year data from 1998-2002 of average humidity, rainfall, maximum and minimum temperatures, respectively. The relationships to regression analysis time series (RATS) were developed for determining the overall trend of these climate parameters on the basis of which forecast models can be corrected and modified. We computed the coefficient of determination as a measure of goodness of fit, to our polynomial regression analysis time series (PRATS). The correlation to multiple linear regression (MLR) and multiple linear regression analysis time series (MLRATS) were also developed for deciphering the interdependence of weather parameters. Spearman's rand correlation and Goldfeld-Quandt test were used to check the uniformity or non-uniformity of variances in our fit to polynomial regression (PR). The Breusch-Pagan test was applied to MLR and MLRATS, respectively which yielded homoscedasticity. We also employed Bartlett's test for homogeneity of variances on a five-year data of rainfall and humidity, respectively which showed that the variances in rainfall data were not homogenous while in case of humidity, were homogenous. Our results on regression and regression analysis time series show the best fit to prediction modeling on climatic data of Quetta, Pakistan. (author)
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Regression Analysis and the Sociological Imagination
De Maio, Fernando
2014-01-01
Regression analysis is an important aspect of most introductory statistics courses in sociology but is often presented in contexts divorced from the central concerns that bring students into the discipline. Consequently, we present five lesson ideas that emerge from a regression analysis of income inequality and mortality in the USA and Canada.
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Directory of Open Access Journals (Sweden)
Chun-feng HU
2013-12-01
Full Text Available Objective: To explore the relationship between the depressive mood and cognitive emotion regulation strategies. Methods: A total of 143 major depression patients were assessed with a self-designed questionnaire, Beck Depression Inventory (BDI, the Chinese version of Cognitive Emotion Regulation Questionnaire (CERQ-C and the twenty-item Toronto Scale (TAS-20, and 95 healthy people were involved as controls. Regression analysis was carried out for the influcing factors to depressive mood. Results: Compared with controls, Patients with Depressive Episode showed significantly higher total scores of inadaptability strategy，TAS and BDI(P<0.01. There were lots of factors, such as domestic stress and maladaptive strategy showed significant correlation with total score of BDI in major depression (P<0.05 or P<0.01. The factors of domestic stress and maladaptive strategy et al entered the regression equation for BDI by turns. Conclusions: Patients with depression suffered from maladaptive strategy. Cognitive coping strategies and stressl were the important influence factors of depression emotion in patients with depression.
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Burnout does not help predict depression among French school teachers.
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.
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Vermeulen, E.; Stronks, K.; Visser, M.; Brouwer, I. A.; Snijder, M. B.; Mocking, R. J. T.; Derks, E. M.; Schene, A. H.; Nicolaou, M.
2017-01-01
BACKGROUND/OBJECTIVES: To investigate the association of dietary patterns derived by reduced rank regression (RRR) with depressive symptoms in a multi-ethnic population. SUBJECTS/METHODS: Cross-sectional data from the HELIUS study were used. In total, 4967 men and women (18-70 years) of Dutch,
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Vermeulen, E.; Stronks, K.; Visser, M.; Brouwer, I. A.; Snijder, M. B.; Mocking, R. J.T.; Derks, E. M.; Schene, A. H.; Nicolaou, M.
BACKGROUND/OBJECTIVES: To investigate the association of dietary patterns derived by reduced rank regression (RRR) with depressive symptoms in a multi-ethnic population. SUBJECTS/METHODS: Cross-sectional data from the HELIUS study were used. In total, 4967 men and women (18-70 years) of Dutch,
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Polylinear regression analysis in radiochemistry
International Nuclear Information System (INIS)
Kopyrin, A.A.; Terent'eva, T.N.; Khramov, N.N.
1995-01-01
A number of radiochemical problems have been formulated in the framework of polylinear regression analysis, which permits the use of conventional mathematical methods for their solution. The authors have considered features of the use of polylinear regression analysis for estimating the contributions of various sources to the atmospheric pollution, for studying irradiated nuclear fuel, for estimating concentrations from spectral data, for measuring neutron fields of a nuclear reactor, for estimating crystal lattice parameters from X-ray diffraction patterns, for interpreting data of X-ray fluorescence analysis, for estimating complex formation constants, and for analyzing results of radiometric measurements. The problem of estimating the target parameters can be incorrect at certain properties of the system under study. The authors showed the possibility of regularization by adding a fictitious set of data open-quotes obtainedclose quotes from the orthogonal design. To estimate only a part of the parameters under consideration, the authors used incomplete rank models. In this case, it is necessary to take into account the possibility of confounding estimates. An algorithm for evaluating the degree of confounding is presented which is realized using standard software or regression analysis
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Seber, George A F
2012-01-01
Concise, mathematically clear, and comprehensive treatment of the subject.* Expanded coverage of diagnostics and methods of model fitting.* Requires no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight-line regression and simple analysis of variance models.* More than 200 problems throughout the book plus outline solutions for the exercises.* This revision has been extensively class-tested.
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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.
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Plasma L-tryptophan concentration in major depressive disorder: new data and meta-analysis.
Ogawa, Shintaro; Fujii, Takashi; Koga, Norie; Hori, Hiroaki; Teraishi, Toshiya; Hattori, Kotaro; Noda, Takamasa; Higuchi, Teruhiko; Motohashi, Nobutaka; Kunugi, Hiroshi
2014-09-01
Tryptophan, an essential amino acid, is the precursor to serotonin and is metabolized mainly by the kynurenine pathway. Both serotonin and kynurenine have been implicated in the pathophysiology of major depressive disorder (MDD). However, plasma tryptophan concentration in patients with MDD has not unequivocally been reported to be decreased, which prompted us to perform a meta-analysis on previous studies and our own data. We searched the PubMed database for case-control studies published until August 31, 2013, using the search terms plasma AND tryptophan AND synonyms for MDD. An additional search was performed for the term amino acid instead of tryptophan. We obtained our own data in 66 patients with MDD (DSM-IV) and 82 controls who were recruited from March 2011 to July 2012. The majority of the patients were medicated (N = 53). Total plasma tryptophan concentrations were measured by the liquid chromatography/mass spectrometry method. We scrutinized 160 studies for eligibility. Original articles that were written in English and documented plasma tryptophan values in patients and controls were selected. We included 24 studies from the literature and our own data in the meta-analysis, which involved a total of 744 patients and 793 controls. Data on unmedicated patients (N = 156) and their comparison subjects (N = 203) were also extracted. To see the possible correlation between tryptophan concentrations and depression severity, meta-regression analysis was performed for 10 studies with the Hamilton Depression Rating Scale 17-item version score. In our case-control study, mean (SD) plasma tryptophan level was significantly decreased in the MDD patients versus the controls (53.9 [10.9] vs 57.2 [11.3] μmol/L; P = .03). The meta-analysis after adjusting for publication bias showed a significant decrease in patients with MDD with a modest effect size (Hedges g, -0.45). However, analysis on unmedicated subjects yielded a large effect (Hedges g, -0.84; P = .00015). We
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Preface to Berk's "Regression Analysis: A Constructive Critique"
de Leeuw, Jan
2003-01-01
It is pleasure to write a preface for the book ”Regression Analysis” of my fellow series editor Dick Berk. And it is a pleasure in particular because the book is about regression analysis, the most popular and the most fundamental technique in applied statistics. And because it is critical of the way regression analysis is used in the sciences, in particular in the social and behavioral sciences. Although the book can be read as an introduction to regression analysis, it can also be read as a...
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Multicollinearity and Regression Analysis
Daoud, Jamal I.
2017-12-01
In regression analysis it is obvious to have a correlation between the response and predictor(s), but having correlation among predictors is something undesired. The number of predictors included in the regression model depends on many factors among which, historical data, experience, etc. At the end selection of most important predictors is something objective due to the researcher. Multicollinearity is a phenomena when two or more predictors are correlated, if this happens, the standard error of the coefficients will increase [8]. Increased standard errors means that the coefficients for some or all independent variables may be found to be significantly different from In other words, by overinflating the standard errors, multicollinearity makes some variables statistically insignificant when they should be significant. In this paper we focus on the multicollinearity, reasons and consequences on the reliability of the regression model.
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Size matters - The olfactory bulb as a marker for depression.
Rottstaedt, F; Weidner, K; Strauß, T; Schellong, J; Kitzler, H; Wolff-Stephan, S; Hummel, T; Croy, I
2018-03-15
Major Depression is mainly related to structural and functional alterations in brain networks involving limbic and prefrontal regions. Reduced olfactory sensitivity in depression is associated with reduced olfactory bulb (OB) volume. We determined if the OB volume reduction is a specific biomarker for depression and whether its diagnostic accuracy allows its use as a valid biomarker to support its diagnosis. 84 in-patients with mixed mental disorders and 51 age-matched healthy controls underwent structural MR imaging with a spin-echo T2-wheighted sequence. Individual OB volume was calculated manually (interrater-reliability = .81, p < .001) and compared between groups. Multiple regression analysis with OB volume as dependent variable and Receiver Operator Characteristic analysis to obtain its diagnostic accuracy for depression were ruled out. Patients exhibited a 13.5% reduced OB volume. Multiple regression analysis showed that the OB volume variation was best explained by depression (β = -.19), sex (β = -.31) and age (β = -.29), but not by any other mental disorder. OB volume attained a diagnostic accuracy of 68.1% for depression. The patient group mainly contained highly comorbid patients with mostly internalizing disorders which limits the generalisability of the results of the regression analysis. The OB may serve as a marker for depression. We assume that reduced neural olfactory input to subsequent limbic and salience processing structures moderates this relation. However, the OB was in an inferior position compared to conventional questionnaires for diagnosis of depression. Combination with further structural or functional measurements is suggested. Copyright © 2018 Elsevier B.V. All rights reserved.
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Hierarchical regression analysis in structural Equation Modeling
de Jong, P.F.
1999-01-01
In a hierarchical or fixed-order regression analysis, the independent variables are entered into the regression equation in a prespecified order. Such an analysis is often performed when the extra amount of variance accounted for in a dependent variable by a specific independent variable is the main
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Multivariate Regression Analysis and Slaughter Livestock,
AGRICULTURE, *ECONOMICS), (*MEAT, PRODUCTION), MULTIVARIATE ANALYSIS, REGRESSION ANALYSIS , ANIMALS, WEIGHT, COSTS, PREDICTIONS, STABILITY, MATHEMATICAL MODELS, STORAGE, BEEF, PORK, FOOD, STATISTICAL DATA, ACCURACY
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Directory of Open Access Journals (Sweden)
Liye Zou
2018-02-01
Full Text Available Objectives: we used a quantitative method to systematically synthesize the emerging literature and critically evaluate the effects of Baduanjin on depression and anxiety in people with physical or mental illnesses. Additionally, we determined if the number of total Baduanjin training sessions is associated with decreased anxiety and depression levels. Methods: both English and Chinese databases were searched for potential studies published between January 1982 and October 2017. The eligible randomized controlled trials were considered for meta-analysis. Effect size (Hedge’s g was computed for the pooled effects while the random-effect model was set. For moderator analysis; Subgroup meta-analysis for categorical variables and meta-regression for continuous variables were performed. Results: the aggregated result has shown a significant benefit in favour of Baduanjin on anxiety (Hedge’s g = −0.99; CI −1.63 to −0.74 and depression (Hedge’s g = −1.07; CI −1.3 to −0.83. For continuous potential moderators; meta-regression indicated a significant effect for total hours in Baduanjin practice (β = −0.0053; 95% CI −0.009 to −0.0014; p = 0.008. With regard to depression; meta-regression indicated a significant effect for total sessions of Baduanjin practice (β = −0.0023; 95% CI −0.006 to −0.0004; p = 0.028. Conclusions: the encouraging findings indicate the efficacy of Baduanjin exercise in reducing depression and anxiety symptoms in people with physical or mental illnesses. However; the results should be interpreted with caution because of existing methodological limitations (e.g., high risk of bias; Baduanjin combined with other behavioral interventions; and heterogeneity of control groups.
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Ebrahimzadeh, Farzad; Hajizadeh, Ebrahim; Vahabi, Nasim; Almasian, Mohammad; Bakhteyar, Katayoon
2015-01-01
Unwanted pregnancy not intended by at least one of the parents has undesirable consequences for the family and the society. In the present study, three classification models were used and compared to predict unwanted pregnancies in an urban population. In this cross-sectional study, 887 pregnant mothers referring to health centers in Khorramabad, Iran, in 2012 were selected by the stratified and cluster sampling; relevant variables were measured and for prediction of unwanted pregnancy, logistic regression, discriminant analysis, and probit regression models and SPSS software version 21 were used. To compare these models, indicators such as sensitivity, specificity, the area under the ROC curve, and the percentage of correct predictions were used. The prevalence of unwanted pregnancies was 25.3%. The logistic and probit regression models indicated that parity and pregnancy spacing, contraceptive methods, household income and number of living male children were related to unwanted pregnancy. The performance of the models based on the area under the ROC curve was 0.735, 0.733, and 0.680 for logistic regression, probit regression, and linear discriminant analysis, respectively. Given the relatively high prevalence of unwanted pregnancies in Khorramabad, it seems necessary to revise family planning programs. Despite the similar accuracy of the models, if the researcher is interested in the interpretability of the results, the use of the logistic regression model is recommended.
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Felder, Jennifer N; Roubinov, Danielle; Bush, Nicole R; Coleman-Phox, Kimberly; Vieten, Cassandra; Laraia, Barbara; Adler, Nancy E; Epel, Elissa
2018-02-28
We examined whether prenatal mindfulness training was associated with lower depressive symptoms through 18-months postpartum compared to treatment as usual (TAU). A controlled, quasi-experimental trial compared prenatal mindfulness training (MMT) to TAU. We collected depressive symptom data at post-intervention, 6-, and 18-months postpartum. Latent profile analysis identified depressive symptom profiles, and multinomial logistic regression examined whether treatment condition predicted profile. Three depressive symptom severity profiles emerged: none/minimal, mild, and moderate. Adjusting for relevant covariates, MMT participants were less likely than TAU participants to be in the moderate profile than the none/minimal profile (OR = 0.13, 95% CI = 0.03-0.54, p = .005). Prenatal mindfulness training may have benefits for depressive symptoms during the transition to parenthood. © 2018 Wiley Periodicals, Inc.
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Bayesian logistic regression analysis
Van Erp, H.R.N.; Van Gelder, P.H.A.J.M.
2012-01-01
In this paper we present a Bayesian logistic regression analysis. It is found that if one wishes to derive the posterior distribution of the probability of some event, then, together with the traditional Bayes Theorem and the integrating out of nuissance parameters, the Jacobian transformation is an
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Regression analysis using dependent Polya trees.
Schörgendorfer, Angela; Branscum, Adam J
2013-11-30
Many commonly used models for linear regression analysis force overly simplistic shape and scale constraints on the residual structure of data. We propose a semiparametric Bayesian model for regression analysis that produces data-driven inference by using a new type of dependent Polya tree prior to model arbitrary residual distributions that are allowed to evolve across increasing levels of an ordinal covariate (e.g., time, in repeated measurement studies). By modeling residual distributions at consecutive covariate levels or time points using separate, but dependent Polya tree priors, distributional information is pooled while allowing for broad pliability to accommodate many types of changing residual distributions. We can use the proposed dependent residual structure in a wide range of regression settings, including fixed-effects and mixed-effects linear and nonlinear models for cross-sectional, prospective, and repeated measurement data. A simulation study illustrates the flexibility of our novel semiparametric regression model to accurately capture evolving residual distributions. In an application to immune development data on immunoglobulin G antibodies in children, our new model outperforms several contemporary semiparametric regression models based on a predictive model selection criterion. Copyright © 2013 John Wiley & Sons, Ltd.
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Depression as a risk factor for the onset of type 2 diabetes mellitus. A meta-analysis
DEFF Research Database (Denmark)
Knol, M J; Twisk, Jos W R; Beekman, Aartjan T F
2006-01-01
the latter association by reviewing the literature and conducting a meta-analysis of longitudinal studies on this topic. METHODS: Medline and PsycInfo were searched for articles published up to January 2005. All studies that examined the relationship between depression and the onset of type 2 diabetes were...... included. Pooled relative risks were calculated using fixed and random effects models. To explore sources of heterogeneity between studies, subgroup analyses and meta-regression analyses were performed. RESULTS: Nine studies met our inclusion criteria for this meta-analysis. The pooled relative risk was 1......AIMS/HYPOTHESIS: Evidence strongly suggests that depression and type 2 diabetes are associated, but the direction of the association is still unclear. Depression may occur as a consequence of having diabetes, but may also be a risk factor for the onset of type 2 diabetes. This study examined...
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Kempe, P T; van Oppen, P; de Haan, E; Twisk, J W R; Sluis, A; Smit, J H; van Dyck, R; van Balkom, A J L M
2007-09-01
Two methods for predicting remissions in obsessive-compulsive disorder (OCD) treatment are evaluated. Y-BOCS measurements of 88 patients with a primary OCD (DSM-III-R) diagnosis were performed over a 16-week treatment period, and during three follow-ups. Remission at any measurement was defined as a Y-BOCS score lower than thirteen combined with a reduction of seven points when compared with baseline. Logistic regression models were compared with a Cox regression for recurrent events model. Logistic regression yielded different models at different evaluation times. The recurrent events model remained stable when fewer measurements were used. Higher baseline levels of neuroticism and more severe OCD symptoms were associated with a lower chance of remission, early age of onset and more depressive symptoms with a higher chance. Choice of outcome time affects logistic regression prediction models. Recurrent events analysis uses all information on remissions and relapses. Short- and long-term predictors for OCD remission show overlap.
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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.
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Belvederi Murri, Martino; Respino, Matteo; Innamorati, Marco; Cervetti, Alice; Calcagno, Pietro; Pompili, Maurizio; Lamis, Dorian A; Ghio, Lucio; Amore, Mario
2015-03-01
Among patients with schizophrenia, better insight may be associated with depression, but the findings on this issue are mixed. We examined the association between insight and depression in schizophrenia by conducting a systematic review and meta-analysis. The meta-analysis was based on 59 correlational studies and showed that global clinical insight was associated weakly, but significantly with depression (effect size r=0.14), as were the insight into the mental disorder (r=0.14), insight into symptoms (r=0.14), and symptoms' attributions (r=0.17). Conversely, neither insight into the social consequences of the disorder nor into the need for treatment was associated with symptoms of depression. Better cognitive insight was significantly associated with higher levels of depression. The exploratory meta-regression showed that methodological factors (e.g. the instrument used to assess depression and the phase of the illness) can significantly influence the magnitude of the association between insight and depression. Moreover, results from longitudinal studies suggest that the relation between insight and depression might be stronger than what is observed at the cross-sectional level. Finally, internalized stigma, illness perception, recovery attitudes, ruminative style, and premorbid adjustment seem to be relevant moderators and/or mediators of the association between insight and depression. In conclusion, literature indicates that among patients with schizophrenia, better insight is associated with higher levels of depressive symptoms. Thus, interventions aimed at promoting patients' insight should take into account the clinical implications of these findings. Copyright © 2015 Elsevier B.V. All rights reserved.
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Davidson, Sandra K; Dowrick, Christopher F; Gunn, Jane M
2016-03-15
High rates of persistent depression highlight the need to identify the risk factors associated with poor depression outcomes and to provide targeted interventions to people at high risk. Although social relationships have been implicated in depression course, interventions targeting social relationships have been disappointing. Possibly, interventions have targeted the wrong elements of relationships. Alternatively, the statistical association between relationships and depression course is not causal, but due to shared variance with other factors. We investigated whether elements of social relationships predict major depressive episode (MDE) when multiple relevant variables are considered. Data is from a longitudinal study of primary care patients with depressive symptoms. 494 participants completed questionnaires at baseline and a depression measure (PHQ-9) two years later. Baseline measures included functional (i.e. quality) and structural (i.e. quantity) social relationships, depression, neuroticism, chronic illness, alcohol abuse, childhood abuse, partner violence and sociodemographic characteristics. Logistic regression with generalised estimating equations was used to estimate the association between social relationships and MDE. Both functional and structural social relationships predicted MDE in univariate analysis. Only functional social relationships remained significant in multivariate analysis (OR: 0.87; 95%CI: 0.79-0.97; p=0.01). Other unique predictors of MDE were baseline depression severity, neuroticism, childhood sexual abuse and intimate partner violence. We did not assess how a person's position in their depression trajectory influenced the association between social relationships and depression. Interventions targeting relationship quality may be part of a personalised treatment plan for people at high risk due of persistent depression due to poor social relationships. Copyright © 2015 Elsevier B.V. All rights reserved.
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RAWS II: A MULTIPLE REGRESSION ANALYSIS PROGRAM,
This memorandum gives instructions for the use and operation of a revised version of RAWS, a multiple regression analysis program. The program...of preprocessed data, the directed retention of variable, listing of the matrix of the normal equations and its inverse, and the bypassing of the regression analysis to provide the input variable statistics only. (Author)
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Directory of Open Access Journals (Sweden)
Andrew M. Joelson
2018-04-01
Full Text Available Background: The prevalence of depression in celiac disease (CD is high, and patients are often burdened socially and financially by a gluten-free diet. However, the relationship between depression, somatic symptoms and dietary adherence in CD is complex and poorly understood. We used a patient powered research network (iCureCeliac® to explore the effect that depression has on patients’ symptomatic response to a gluten-free diet (GFD. Methods: We identified patients with biopsy-diagnosed celiac disease who answered questions pertaining to symptoms (Celiac Symptom Index (CSI, GFD adherence (Celiac Dietary Adherence Test (CDAT, and a 5-point, scaled question regarding depressive symptoms relating to patients’ celiac disease. We then measured the correlation between symptoms and adherence (CSI vs. CDAT in patients with depression versus those without depression. We also tested for interaction of depression with regard to the association with symptoms using a multiple linear regression model. Results: Among 519 patients, 86% were female and the mean age was 40.9 years. 46% of patients indicated that they felt “somewhat,” “quite a bit,” or “very much” depressed because of their disorder. There was a moderate correlation between worsened celiac symptoms and poorer GFD adherence (r = 0.6, p < 0.0001. In those with a positive depression screen, there was a moderate correlation between worsening symptoms and worsening dietary adherence (r = 0.5, p < 0.0001 whereas in those without depression, the correlation was stronger (r = 0.64, p < 0.0001. We performed a linear regression analysis, which suggests that the relationship between CSI and CDAT is modified by depression. Conclusions: In patients with depressive symptoms related to their disorder, correlation between adherence and symptoms was weaker than those without depressive symptoms. This finding was confirmed with a linear regression analysis, showing that depressive symptoms may
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Common pitfalls in statistical analysis: Linear regression analysis
Directory of Open Access Journals (Sweden)
Rakesh Aggarwal
2017-01-01
Full Text Available In a previous article in this series, we explained correlation analysis which describes the strength of relationship between two continuous variables. In this article, we deal with linear regression analysis which predicts the value of one continuous variable from another. We also discuss the assumptions and pitfalls associated with this analysis.
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Depression in Main Caregivers of Dementia Patients: Prevalence and Predictors
Directory of Open Access Journals (Sweden)
Victoria Omranifard
2018-01-01
Full Text Available Background: The most common neurodegenerative disease is dementia. Family of dementia patients says that their lives have been changed extensively after happening of dementia to their patients. One of the problems of family and caregivers is depression of the caregiver. In this study, we aimed to find the prevalence of depression and factors can affect depression in the dementia caregivers. Materials and Methods: This study was cross-sectional study with convenient sampling method. Our society was 96 main caregivers of dementia patients in the year 2015 in Iran. We had two questionnaires, a demographic and Beck Depression Inventory (BDI. BDI Cronbach's alpha is 0.86 for psychiatric patients and 0.81 for nonpsychiatric persons, and Beck's scores are between 0 and 64. We used SPSS version 22 for statistical analysis. Results: According to Beck depression test, 69.8% (n = 67 out of 96 of all caregivers had scores in the range of depression. In bivariate analysis, we found higher dementia severity and lower support of other family members from the caregiver can predict higher depression in the caregiver. As well, in regression analysis using GLM model, we found higher age and lower educational level of the caregiver can predict higher depression in the caregiver. Moreover, regression analysis approved findings about severity and support of other family members in bivariate analysis. Conclusion: High-level depression is found in caregivers of dementia patients. It needs special attention from healthcare managers, clinicians and all of health-care personnel who deals with dementia patients and their caregivers.
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Moderation analysis using a two-level regression model.
Yuan, Ke-Hai; Cheng, Ying; Maxwell, Scott
2014-10-01
Moderation analysis is widely used in social and behavioral research. The most commonly used model for moderation analysis is moderated multiple regression (MMR) in which the explanatory variables of the regression model include product terms, and the model is typically estimated by least squares (LS). This paper argues for a two-level regression model in which the regression coefficients of a criterion variable on predictors are further regressed on moderator variables. An algorithm for estimating the parameters of the two-level model by normal-distribution-based maximum likelihood (NML) is developed. Formulas for the standard errors (SEs) of the parameter estimates are provided and studied. Results indicate that, when heteroscedasticity exists, NML with the two-level model gives more efficient and more accurate parameter estimates than the LS analysis of the MMR model. When error variances are homoscedastic, NML with the two-level model leads to essentially the same results as LS with the MMR model. Most importantly, the two-level regression model permits estimating the percentage of variance of each regression coefficient that is due to moderator variables. When applied to data from General Social Surveys 1991, NML with the two-level model identified a significant moderation effect of race on the regression of job prestige on years of education while LS with the MMR model did not. An R package is also developed and documented to facilitate the application of the two-level model.
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Gibbs, Andrew; Govender, Kaymarlin; Jewkes, Rachel
2018-07-01
Depression amongst young people is a major health challenge and is often shaped by social marginalisation. Informal settlements are growing rapidly. There is a need to deepen understandings of depression amongst young people in these contexts. We sought to understand factors associated with depressive symptomology amongst 232 young people (122 women, 110 men) aged 18-30 in urban informal settlements in South Africa. We conducted a cross-sectional analysis of baseline data collected for the Stepping Stones and Creating Futures pilot. Logistic regression modelled relationships between depressive symptomology, livelihoods and violence. Symptomatic depression in this population was 49.5% for men and 57.9% for women. In multiple regression, depression in men was associated with stealing because of hunger (adjusted Odds Ratio (aOR) 5.78, p = .03), being more controlling in relationships (aOR 0.81, p = .008) and being more ashamed about lack of work (aOR 0.75, p = .01). For women, depressive symptoms were associated with greater stress about lack of work (aOR 0.72, p < .0001) and food insecurity (aOR 5.57, p = .039). The study emphasises that socio-economic factors, shaped by local understandings of gender, play a significant role in depressive symptomology. We suggest reducing economic distress may have an important role in reducing depression in this population.
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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...
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[Risk factors for post partum depression].
Dois, Angelina; Uribe, Claudia; Villarroel, Luis; Contreras, Aixa
2012-06-01
Postpartum depression (PPD) is a public health problem with high prevalence in Chile. Many factors are associated with PPD. To analyze the factors associated with the incidence of depressive symptoms (SD) in women with low obstetric risk. Cross-sectional analytical study on a sample of 105 postpartum women with low obstetric risk assessed by the Edinburgh Depression Scale at the eighth week postpartum. A 37% prevalence of depressive symptoms was found. Univariate analysis showed that the perception of family functioning, overcrowding and number of siblings, were significantly associated with postpartum depressive symptoms. A multiple regression model only accepted family functioning as a predictor of depression. Perception of family functioning was the only variable that explained in part the presence of depressive symptoms in women with low obstetric risk.
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Depression and cancer risk: a systematic review and meta-analysis.
Jia, Y; Li, F; Liu, Y F; Zhao, J P; Leng, M M; Chen, L
2017-08-01
To assess the associations between depression and incident cancer risk. Systematic review and meta-analysis. The Cochrane Library, Web of Science, MEDLINE, and PubMed databases were searched to identify studies. The quality of included studies was assessed using the Newcastle Ottawa Scale. Risk ratios (RRs) were used to measure effect size. A random-effects model was applied to synthesize the associations between depression and cancer risk. A forest plot was produced to visually assess RRs and 95% confidence intervals (CIs). Heterogeneity across studies was assessed using the I-squared statistic. A funnel plot was generated to assess potential publication bias, and Egger's regression was applied to test the symmetry of the funnel plot. In total, 1,469,179 participants and 89,716 incident cases of cancer from 25 studies were included. Depression was significantly associated with overall cancer risk (RR = 1.15, 95% CI: 1.09-1.22) and with liver cancer (RR = 1.20, 95% CI: 1.01-1.43) and lung cancer (RR = 1.33, 95% CI: 1.04-1.72). Subgroup analysis of studies in North America resulted in a significant summary relative risk (RR = 1.30, 95% CI: 1.15-1.48). No significant associations were found for breast, prostate, or colorectal/colon cancer. The average Newcastle Ottawa score was 7.56 for all included studies. Our findings showed a small and positive association between depression and the overall occurrence risk of cancer, as well as liver cancer and lung cancer risks. However, multinational and larger sample studies are required to further research and support these associations. Moreover, confounding factors such as cigarette smoking and alcohol use/abuse should be considered in future studies. Copyright © 2017 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.
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Vermeulen, E; Stronks, K; Visser, M; Brouwer, I A; Snijder, M B; Mocking, R J T; Derks, E M; Schene, A H; Nicolaou, M
2017-08-01
To investigate the association of dietary patterns derived by reduced rank regression (RRR) with depressive symptoms in a multi-ethnic population. Cross-sectional data from the HELIUS study were used. In total, 4967 men and women (18-70 years) of Dutch, South-Asian Surinamese, African Surinamese, Turkish and Moroccan origin living in the Netherlands were included. Diet was measured using ethnic-specific food frequency questionnaires. Depressive symptoms were measured with the nine-item patient health questionnaire. By performing RRR in the whole population and per ethnic group, comparable dietary patterns were identified and therefore the dietary pattern for the whole population was used for subsequent analyses. We identified a dietary pattern that was strongly related to eicosapentaenoic acid+docosahexaenoic acid, folate, magnesium and zinc (response variables) and which was characterized by milk products, cheese, whole grains, vegetables, legumes, nuts, potatoes and red meat. After adjustment for confounders, a statistically significant inverse association was observed in the whole population (B: -0.03, 95% CI: -0.06, -0.00, P=0.046) and among Moroccan (B: -0.09, 95% CI: -0.13, -0.04, P=0.027) and South-Asian Surinamese participants (B: -0.05, 95% CI: -0.09, -0.01, P=dietary pattern and significant depressed mood in any of the ethnic groups. No consistent evidence was found that consumption of a dietary pattern, high in nutrients that are hypothesized to protect against depression, was associated with lower depressive symptoms across different ethnic groups.
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Park, Myonghwa; Choi, Sora; Shin, A Mi; Koo, Chul Hoi
2013-02-01
The purpose of this study was to develop a prediction model for the characteristics of older adults with depression using the decision tree method. A large dataset from the 2008 Korean Elderly Survey was used and data of 14,970 elderly people were analyzed. Target variable was depression and 53 input variables were general characteristics, family & social relationship, economic status, health status, health behavior, functional status, leisure & social activity, quality of life, and living environment. Data were analyzed by decision tree analysis, a data mining technique using SPSS Window 19.0 and Clementine 12.0 programs. The decision trees were classified into five different rules to define the characteristics of older adults with depression. Classification & Regression Tree (C&RT) showed the best prediction with an accuracy of 80.81% among data mining models. Factors in the rules were life satisfaction, nutritional status, daily activity difficulty due to pain, functional limitation for basic or instrumental daily activities, number of chronic diseases and daily activity difficulty due to disease. The different rules classified by the decision tree model in this study should contribute as baseline data for discovering informative knowledge and developing interventions tailored to these individual characteristics.
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Two Paradoxes in Linear Regression Analysis
FENG, Ge; PENG, Jing; TU, Dongke; ZHENG, Julia Z.; FENG, Changyong
2016-01-01
Summary Regression is one of the favorite tools in applied statistics. However, misuse and misinterpretation of results from regression analysis are common in biomedical research. In this paper we use statistical theory and simulation studies to clarify some paradoxes around this popular statistical method. In particular, we show that a widely used model selection procedure employed in many publications in top medical journals is wrong. Formal procedures based on solid statistical theory should be used in model selection. PMID:28638214
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Using Dominance Analysis to Determine Predictor Importance in Logistic Regression
Azen, Razia; Traxel, Nicole
2009-01-01
This article proposes an extension of dominance analysis that allows researchers to determine the relative importance of predictors in logistic regression models. Criteria for choosing logistic regression R[superscript 2] analogues were determined and measures were selected that can be used to perform dominance analysis in logistic regression. A…
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Linear regression and sensitivity analysis in nuclear reactor design
International Nuclear Information System (INIS)
Kumar, Akansha; Tsvetkov, Pavel V.; McClarren, Ryan G.
2015-01-01
Highlights: • Presented a benchmark for the applicability of linear regression to complex systems. • Applied linear regression to a nuclear reactor power system. • Performed neutronics, thermal–hydraulics, and energy conversion using Brayton’s cycle for the design of a GCFBR. • Performed detailed sensitivity analysis to a set of parameters in a nuclear reactor power system. • Modeled and developed reactor design using MCNP, regression using R, and thermal–hydraulics in Java. - Abstract: The paper presents a general strategy applicable for sensitivity analysis (SA), and uncertainity quantification analysis (UA) of parameters related to a nuclear reactor design. This work also validates the use of linear regression (LR) for predictive analysis in a nuclear reactor design. The analysis helps to determine the parameters on which a LR model can be fit for predictive analysis. For those parameters, a regression surface is created based on trial data and predictions are made using this surface. A general strategy of SA to determine and identify the influential parameters those affect the operation of the reactor is mentioned. Identification of design parameters and validation of linearity assumption for the application of LR of reactor design based on a set of tests is performed. The testing methods used to determine the behavior of the parameters can be used as a general strategy for UA, and SA of nuclear reactor models, and thermal hydraulics calculations. A design of a gas cooled fast breeder reactor (GCFBR), with thermal–hydraulics, and energy transfer has been used for the demonstration of this method. MCNP6 is used to simulate the GCFBR design, and perform the necessary criticality calculations. Java is used to build and run input samples, and to extract data from the output files of MCNP6, and R is used to perform regression analysis and other multivariate variance, and analysis of the collinearity of data
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Least Squares Adjustment: Linear and Nonlinear Weighted Regression Analysis
DEFF Research Database (Denmark)
Nielsen, Allan Aasbjerg
2007-01-01
This note primarily describes the mathematics of least squares regression analysis as it is often used in geodesy including land surveying and satellite positioning applications. In these fields regression is often termed adjustment. The note also contains a couple of typical land surveying...... and satellite positioning application examples. In these application areas we are typically interested in the parameters in the model typically 2- or 3-D positions and not in predictive modelling which is often the main concern in other regression analysis applications. Adjustment is often used to obtain...... the clock error) and to obtain estimates of the uncertainty with which the position is determined. Regression analysis is used in many other fields of application both in the natural, the technical and the social sciences. Examples may be curve fitting, calibration, establishing relationships between...
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Gong, Liang; Yin, Yingying; He, Cancan; Ye, Qing; Bai, Feng; Yuan, Yonggui; Zhang, Haisan; Lv, Luxian; Zhang, Hongxing; Xie, Chunming; Zhang, Zhijun
2017-01-01
Neuroimaging studies have demonstrated that major depressive disorder (MDD) patients show blunted activity responses to reward-related tasks. However, whether abnormal reward circuits affect cognition and depression in MDD patients remains unclear. Seventy-five drug-naive MDD patients and 42 cognitively normal (CN) subjects underwent a resting-state functional magnetic resonance imaging scan. The bilateral nucleus accumbens (NAc) were selected as seeds to construct reward circuits across all subjects. A multivariate linear regression analysis was employed to investigate the neural substrates of cognitive function and depression severity on the reward circuits in MDD patients. The common pathway underlying cognitive deficits and depression was identified with conjunction analysis. Compared with CN subjects, MDD patients showed decreased reward network connectivity that was primarily located in the prefrontal-striatal regions. Importantly, distinct and common neural pathways underlying cognition and depression were identified, implying the independent and synergistic effects of cognitive deficits and depression severity on reward circuits. This study demonstrated that disrupted topological organization within reward circuits was significantly associated with cognitive deficits and depression severity in MDD patients. These findings suggest that in addition to antidepressant treatment, normalized reward circuits should be a focus and a target for improving depression and cognitive deficits in MDD patients. Copyright © 2016 Elsevier Ltd. All rights reserved.
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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.
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The relationship between depressive symptoms among female workers and job stress and sleep quality.
Cho, Ho-Sung; Kim, Young-Wook; Park, Hyoung-Wook; Lee, Kang-Ho; Jeong, Baek-Geun; Kang, Yune-Sik; Park, Ki-Soo
2013-07-22
Recently, workers' mental health has become important focus in the field of occupational health management. Depression is a psychiatric illness with a high prevalence. The association between job stress and depressive symptoms has been demonstrated in many studies. Recently, studies about the association between sleep quality and depressive symptoms have been reported, but there has been no large-scaled study in Korean female workers. Therefore, this study was designed to investigate the relationship between job stress and sleep quality, and depressive symptoms in female workers. From Mar 2011 to Aug 2011, 4,833 female workers in the manufacturing, finance, and service fields at 16 workplaces in Yeungnam province participated in this study, conducted in combination with a worksite-based health checkup initiated by the National Health Insurance Service (NHIS). In this study, a questionnaire survey was carried out using the Korean Occupational Stress Scale-Short Form(KOSS-SF), Pittsburgh Sleep Quality Index(PSQI) and Center for Epidemiological Studies-Depression Scale(CES-D). The collected data was entered in the system and analyzed using the PASW (version 18.0) program. A correlation analysis, cross analysis, multivariate logistic regression analysis, and hierarchical multiple regression analysis were conducted. Among the 4,883 subjects, 978 subjects (20.0%) were in the depression group. Job stress(OR=3.58, 95% CI=3.06-4.21) and sleep quality(OR=3.81, 95% CI=3.18-4.56) were strongly associated with depressive symptoms. Hierarchical multiple regression analysis revealed that job stress displayed explanatory powers of 15.6% on depression while sleep quality displayed explanatory powers of 16.2%, showing that job stress and sleep quality had a closer relationship with depressive symptoms, compared to the other factors. The multivariate logistic regression analysis yielded odds ratios between the 7 subscales of job stress and depressive symptoms in the range of 1
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Hawkins, Misty A W; Goldstein, Carly M; Dolansky, Mary A; Gunstad, John; Redle, Joseph D; Josephson, Richard; Hughes, Joel W
2015-12-01
Depression is a predictor and consequence of obesity in the general population. Up to 50% of patients with heart failure exhibit elevated depressive symptoms or depressive disorders; however, research on the depression-obesity relationship in heart failure populations is limited, especially in regard to gender differences. To conduct total-sample and gender-stratified analyses to determine whether depressive symptoms are associated with body mass index (BMI) in a sample of patients with heart failure. Participants were 348 (39% female, 26% non-White) patients with heart failure (aged 68.7±9.7 years) recruited from urban medical centers. Depressive symptoms were measured using the Patient Health Questionnaire-9 (PHQ-9). Height and weight were used to compute BMI (kg/m(2)). Regressions were performed for total sample and both genders. Regressions for BMI were run with demographic, medical, and psychological covariates in Step 1 and the PHQ-9 in Step 2. Regression results (total sample) revealed that the PHQ-9 was associated with BMI after adjusting for covariates (β=.22, p=.004). For males, the relationship between PHQ-9 and BMI remained (β=.23, p=.024) and was driven by those with severe obesity (BMI ≥ 40 kg/m(2)). A trend between PHQ-9 and BMI was detected among females (β=.19, p=.091). BMI is related to depressive symptoms in adults with heart failure even after adjusting for demographic and medical covariates. Depressive symptoms were associated with BMI in males, whereas a trend was detected among females. These findings could ultimately be used to improve heart failure outcomes for depressed, obese individuals with heart failure. © The European Society of Cardiology 2014.
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Design and analysis of experiments classical and regression approaches with SAS
Onyiah, Leonard C
2008-01-01
Introductory Statistical Inference and Regression Analysis Elementary Statistical Inference Regression Analysis Experiments, the Completely Randomized Design (CRD)-Classical and Regression Approaches Experiments Experiments to Compare Treatments Some Basic Ideas Requirements of a Good Experiment One-Way Experimental Layout or the CRD: Design and Analysis Analysis of Experimental Data (Fixed Effects Model) Expected Values for the Sums of Squares The Analysis of Variance (ANOVA) Table Follow-Up Analysis to Check fo
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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.
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Depression and incident dementia. An 8-year population-based prospective study.
Luppa, Melanie; Luck, Tobias; Ritschel, Franziska; Angermeyer, Matthias C; Villringer, Arno; Riedel-Heller, Steffi G
2013-01-01
The aim of the study was to investigate the impact of depression (categorical diagnosis; major depression, MD) and depressive symptoms (dimensional diagnosis and symptom patterns) on incident dementia in the German general population. Within the Leipzig Longitudinal Study of the Aged (LEILA 75+), a representative sample of 1,265 individuals aged 75 years and older were interviewed every 1.5 years over 8 years (mean observation time 4.3 years; mean number of visits 4.2). Cox proportional hazards and binary logistic regressions were used to estimate the effect of baseline depression and depressive symptoms on incident dementia. The incidence of dementia was 48 per 1,000 person-years (95% confidence interval (CI) 45-51). Depressive symptoms (Hazard ratio HR 1.03, 95% CI 1.01-1.05), and in particular mood-related symptoms (HR 1.08, 95% CI 1.03-1.14), showed a significant impact on the incidence of dementia only in univariate analysis, but not after adjustment for cognitive and functional impairment. MD showed only a significant impact on incidence of dementia in Cox proportional hazards regression, but not in binary logistic regression models. The present study using different diagnostic measures of depression on future dementia found no clear significant associations of depression and incident dementia. Further in-depth investigation would help to understand the nature of depression in the context of incident dementia.
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Sparse Regression by Projection and Sparse Discriminant Analysis
Qi, Xin
2015-04-03
© 2015, © American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America. Recent years have seen active developments of various penalized regression methods, such as LASSO and elastic net, to analyze high-dimensional data. In these approaches, the direction and length of the regression coefficients are determined simultaneously. Due to the introduction of penalties, the length of the estimates can be far from being optimal for accurate predictions. We introduce a new framework, regression by projection, and its sparse version to analyze high-dimensional data. The unique nature of this framework is that the directions of the regression coefficients are inferred first, and the lengths and the tuning parameters are determined by a cross-validation procedure to achieve the largest prediction accuracy. We provide a theoretical result for simultaneous model selection consistency and parameter estimation consistency of our method in high dimension. This new framework is then generalized such that it can be applied to principal components analysis, partial least squares, and canonical correlation analysis. We also adapt this framework for discriminant analysis. Compared with the existing methods, where there is relatively little control of the dependency among the sparse components, our method can control the relationships among the components. We present efficient algorithms and related theory for solving the sparse regression by projection problem. Based on extensive simulations and real data analysis, we demonstrate that our method achieves good predictive performance and variable selection in the regression setting, and the ability to control relationships between the sparse components leads to more accurate classification. In supplementary materials available online, the details of the algorithms and theoretical proofs, and R codes for all simulation studies are provided.
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Vermeulen, E.; Stronks, K.; Visser, M de; Brouwer, I.A.; Schene, A.H.; Mocking, R.J.T.; Colpo, M.; Bandinelli, S.; Ferrucci, L.; Nicolaou, M.
2016-01-01
This study aimed to identify dietary patterns using reduced rank regression (RRR) and to explore their associations with depressive symptoms over 9 years in the Invecchiare in Chianti study. At baseline, 1362 participants (55.4 % women) aged 18-102 years (mean age 68 (sd 15.5) years) were included
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The Use of Nonparametric Kernel Regression Methods in Econometric Production Analysis
DEFF Research Database (Denmark)
Czekaj, Tomasz Gerard
and nonparametric estimations of production functions in order to evaluate the optimal firm size. The second paper discusses the use of parametric and nonparametric regression methods to estimate panel data regression models. The third paper analyses production risk, price uncertainty, and farmers' risk preferences...... within a nonparametric panel data regression framework. The fourth paper analyses the technical efficiency of dairy farms with environmental output using nonparametric kernel regression in a semiparametric stochastic frontier analysis. The results provided in this PhD thesis show that nonparametric......This PhD thesis addresses one of the fundamental problems in applied econometric analysis, namely the econometric estimation of regression functions. The conventional approach to regression analysis is the parametric approach, which requires the researcher to specify the form of the regression...
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Factors Related to Depressive Symptoms in Mothers of Technology-Dependent Children.
Toly, Valerie Boebel; Musil, Carol M
2015-07-01
Mothers caring for technology-dependent children at home often suffer clinically significant and unrecognized depressive symptoms. The study aim was to determine factors related to elevated depressive symptoms and provide information to target interventions that assists mothers in self-management of their mental health. Secondary data analysis from a descriptive, correlational study of 75 mothers was performed. Hierarchical multiple regression analysis results indicate that younger, unpartnered mothers with lower normalization efforts and personal resourcefulness, and less care hours, had increased depressive symptoms. The importance of personal resourcefulness and the potential for a resourcefulness training intervention to reduce depressive symptoms are discussed.
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Simulation Experiments in Practice: Statistical Design and Regression Analysis
Kleijnen, J.P.C.
2007-01-01
In practice, simulation analysts often change only one factor at a time, and use graphical analysis of the resulting Input/Output (I/O) data. The goal of this article is to change these traditional, naïve methods of design and analysis, because statistical theory proves that more information is obtained when applying Design Of Experiments (DOE) and linear regression analysis. Unfortunately, classic DOE and regression analysis assume a single simulation response that is normally and independen...
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Salivary cortisol in depressed patients versus control persons
DEFF Research Database (Denmark)
Knorr, Ulla; Vinberg, Maj; Kessing, Lars V
2010-01-01
The pathophysiology of depression has been associated to dysregulation of the hypothalamic-pituitary-adrenal axis and the use of salivary cortisol measures is increasingly being incorporated into research. The aim of the present study was to investigate whether salivary cortisol differs...... for patients with depression and control persons. We did a systematic review with sequential meta-analysis and meta-regression according to the PRISMA Statement based on comprehensive database searches for studies of depressed patients compared to control persons in whom salivary cortisol was measured. Twenty...... case-control studies, including 1354 patients with depression and 1052 control persons were identified. In a random-effects meta-analysis salivary cortisol was increased for depressed patients as compared to control persons on average 2.58 nmol/l (95% C.I.: 0.95-4.21) p=0.002 in the morning...
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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.
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Whiplash-associated disorders: who gets depressed? Who stays depressed?
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
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Directory of Open Access Journals (Sweden)
Xinli Chi
2018-06-01
Full Text Available Background: Mindfulness as a positive mental health intervention approach has been increasingly applied to address depression in young people. This systematic review and meta-analysis evaluated the effects of mindfulness-based stress reduction (MBSR in the treatment of depression among adolescents and young adults.Methods: Electronic databases and references in articles were searched. Randomized controlled trials (RCTs evaluating MBSR and reporting outcomes for depressive symptoms among young people aged 12 to 25 years were included. Data extraction and risk of bias assessment were conducted by two reviewers independently. Hedges’ g with a 95% confidence interval was calculated to represent intervention effect.Results: Eighteen RCTs featuring 2,042 participants were included in the meta-analysis. Relative to the control groups (e.g., no treatment, treatment as usual, or active control, MBSR had moderate effects in reducing depressive symptoms at the end of intervention (Hedges’ g = −0.45. No statistically significant effects were found in follow-up (Hedges’ g = −0.24 due to a lack of statistical power. Meta-regression found that the average treatment effect might be moderated by control condition, treatment duration, and participants’ baseline depression.Conclusion: MBSR had moderate effects in reducing depression in young people at posttest. Future research is needed to assess the follow-up effects of MBSR on depressive symptoms among adolescents and young adults.
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Vermeulen, Esther; Stronks, Karien; Visser, Marjolein; Brouwer, Ingeborg A; Schene, Aart H; Mocking, Roel J T; Colpo, Marco; Bandinelli, Stefania; Ferrucci, Luigi; Nicolaou, Mary
This study aimed to identify dietary patterns using reduced rank regression (RRR) and to explore their associations with depressive symptoms over 9 years in the Invecchiare in Chianti study. At baseline, 1362 participants (55·4 % women) aged 18-102 years (mean age 68 (sd 15·5) years) were included
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General Nature of Multicollinearity in Multiple Regression Analysis.
Liu, Richard
1981-01-01
Discusses multiple regression, a very popular statistical technique in the field of education. One of the basic assumptions in regression analysis requires that independent variables in the equation should not be highly correlated. The problem of multicollinearity and some of the solutions to it are discussed. (Author)
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Roepke-Buehler, Susan K; Simon, Melissa; Dong, XinQi
2015-09-01
Depression is conceptualized as both a risk factor for and a consequence of elder abuse; however, current research is equivocal. This study examined associations between elder abuse and dimensions of depressive symptoms in older adults. Participants were 10,419 older adults enrolled in theChicago Health and Aging Project (CHAP), a population-based study of older adults. Regression was used to determine the relationships between depressive symptoms, depression dimensions, and abuse variables. Depressive symptoms were consistently associated with elder abuse. Participants in the highest tertile of depressive symptoms were twice as likely to have confirmed abuse with a perpetrator (odds ratio = 2.07, 95% confidence interval = [1.21, 3.52], p = .008). Elder abuse subtypes and depression dimensions were differentially associated. These findings highlight the importance of routine depression screening in older adults as a component of abuse prevention and intervention. They also provide profiles of depressive symptoms that may more accurately characterize risk for specific types of abuse. © The Author(s) 2015.
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Logistic analysis on influencing factors of radiation workers' anxiety and depression in some city
International Nuclear Information System (INIS)
Kong Xueyuan; Liu Yulong; Zhang Bingjie; Li Yuan; Chen Xiyun; Qiu Mengyue; Bian Huahui; Chen Weibo; Wang Youyou
2014-01-01
Objective: To provide theoretical basis for making the psychological support scheme and to explore the radiation workers' anxiety and depression status in some communities of a city and the influence factors. Methods: A total of 424 workers from 32 units of the city were sampled and required to provide the general demographic data for self-evaluation of anxiety scale (SAS) and depression self rating scale (SDS). Personal dose data was collected. The influence factors were analyzed by use of binary logistic regression procedure. Results: The radiation workers in this city had obvious anxiety and depression mood. Both SAS and SDS scores were significantly higher compared with Chinese norm (t = 10.55, 20.17, P < 0.05). Multiple factors logistic regression showed that their gender, personal dose and training situation were the factors influencing anxiety mood(χ"2 = 47.21, P < 0.05), while their educational background, personal dose and training situation had influence on depression mood(χ"2 = 329.83, P < 0.05). Conclusions: The anxiety and depression mood of radiation workers are obviously high in comparison with the Chinese norm, and are influenced by gender and personal dose. (authors)
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Anxiety, affect, self-esteem, and stress: mediation and moderation effects on depression.
Nima, Ali Al; Rosenberg, Patricia; Archer, Trevor; Garcia, Danilo
2013-01-01
Mediation analysis investigates whether a variable (i.e., mediator) changes in regard to an independent variable, in turn, affecting a dependent variable. Moderation analysis, on the other hand, investigates whether the statistical interaction between independent variables predict a dependent variable. Although this difference between these two types of analysis is explicit in current literature, there is still confusion with regard to the mediating and moderating effects of different variables on depression. The purpose of this study was to assess the mediating and moderating effects of anxiety, stress, positive affect, and negative affect on depression. Two hundred and two university students (males = 93, females = 113) completed questionnaires assessing anxiety, stress, self-esteem, positive and negative affect, and depression. Mediation and moderation analyses were conducted using techniques based on standard multiple regression and hierarchical regression analyses. The results indicated that (i) anxiety partially mediated the effects of both stress and self-esteem upon depression, (ii) that stress partially mediated the effects of anxiety and positive affect upon depression, (iii) that stress completely mediated the effects of self-esteem on depression, and (iv) that there was a significant interaction between stress and negative affect, and between positive affect and negative affect upon depression. The study highlights different research questions that can be investigated depending on whether researchers decide to use the same variables as mediators and/or moderators.
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On logistic regression analysis of dichotomized responses.
Lu, Kaifeng
2017-01-01
We study the properties of treatment effect estimate in terms of odds ratio at the study end point from logistic regression model adjusting for the baseline value when the underlying continuous repeated measurements follow a multivariate normal distribution. Compared with the analysis that does not adjust for the baseline value, the adjusted analysis produces a larger treatment effect as well as a larger standard error. However, the increase in standard error is more than offset by the increase in treatment effect so that the adjusted analysis is more powerful than the unadjusted analysis for detecting the treatment effect. On the other hand, the true adjusted odds ratio implied by the normal distribution of the underlying continuous variable is a function of the baseline value and hence is unlikely to be able to be adequately represented by a single value of adjusted odds ratio from the logistic regression model. In contrast, the risk difference function derived from the logistic regression model provides a reasonable approximation to the true risk difference function implied by the normal distribution of the underlying continuous variable over the range of the baseline distribution. We show that different metrics of treatment effect have similar statistical power when evaluated at the baseline mean. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.
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Whole brain resting-state analysis reveals decreased functional connectivity in major depression
Directory of Open Access Journals (Sweden)
Ilya M. Veer
2010-09-01
Full Text Available Recently, both increases and decreases in resting-state functional connectivity have been found in major depression. However, these studies only assessed functional connectivity within a specific network or between a few regions of interest, while comorbidity and use of medication was not always controlled for. Therefore, the aim of the current study was to investigate whole-brain functional connectivity, unbiased by a priori definition of regions or networks of interest, in medication-free depressive patients without comorbidity. We analyzed resting-state fMRI data of 19 medication-free patients with a recent diagnosis of major depression (within six months before inclusion and no comorbidity, and 19 age- and gender-matched controls. Independent component analysis was employed on the concatenated data sets of all participants. Thirteen functionally relevant networks were identified, describing the entire study sample. Next, individual representations of the networks were created using a dual regression method. Statistical inference was subsequently done on these spatial maps using voxelwise permutation tests. Abnormal functional connectivity was found within three resting-state networks in depression: 1 decreased bilateral amygdala and left anterior insula connectivity in an affective network, 2 reduced connectivity of the left frontal pole in a network associated with attention and working memory, and 3 decreased bilateral lingual gyrus connectivity within ventromedial visual regions. None of these effects were associated with symptom severity or grey matter density. We found abnormal resting-state functional connectivity not previously associated with major depression, which might relate to abnormal affect regulation and mild cognitive deficits, both associated with the symptomatology of the disorder.
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Nelemans, S. A.; Branje, S. J. T.; Hale, W. W.; Goossens, L.; Koot, H. M.; Oldehinkel, A. J.; Meeus, W. H. J.
2016-01-01
Adolescence is a critical period for the development of depressive symptoms. Lower quality of the parent-adolescent relationship has been consistently associated with higher adolescent depressive symptoms, but discrepancies in perceptions of parents and adolescents regarding the quality of their
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Nelemans, S. A.; Branje, S. J. T.; Hale, W. W.; Goossens, L.; Koot, H. M.; Oldehinkel, A. J.; Meeus, W.H.J.
2016-01-01
Adolescence is a critical period for the development of depressive symptoms. Lower quality of the parent-adolescent relationship has been consistently associated with higher adolescent depressive symptoms, but discrepancies in perceptions of parents and adolescents regarding the quality of their
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Dietary patterns and depression risk: A meta-analysis.
Li, Ye; Lv, Mei-Rong; Wei, Yan-Jin; Sun, Ling; Zhang, Ji-Xiang; Zhang, Huai-Guo; Li, Bin
2017-07-01
Although some studies have reported potential associations of dietary patterns with depression risk, a consistent perspective hasn't been estimated to date. Therefore, we conducted this meta-analysis to evaluate the relation between dietary patterns and the risk of depression. A literature research was conducted searching MEDLINE and EMBASE databases up to September 2016. In total, 21 studies from ten countries met the inclusion criteria and were included in the present meta-analysis. A dietary pattern characterized by a high intakes of fruit, vegetables, whole grain, fish, olive oil, low-fat dairy and antioxidants and low intakes of animal foods was apparently associated with a decreased risk of depression. A dietary pattern characterized by a high consumption of red and/or processed meat, refined grains, sweets, high-fat dairy products, butter, potatoes and high-fat gravy, and low intakes of fruits and vegetables is associated with an increased risk of depression. The results of this meta-analysis suggest that healthy pattern may decrease the risk of depression, whereas western-style may increase the risk of depression. However, more randomized controlled trails and cohort studies are urgently required to confirm this findings. Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.
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On two flexible methods of 2-dimensional regression analysis
Czech Academy of Sciences Publication Activity Database
Volf, Petr
2012-01-01
Roč. 18, č. 4 (2012), s. 154-164 ISSN 1803-9782 Grant - others:GA ČR(CZ) GAP209/10/2045 Institutional support: RVO:67985556 Keywords : regression analysis * Gordon surface * prediction error * projection pursuit Subject RIV: BB - Applied Statistics, Operational Research http://library.utia.cas.cz/separaty/2013/SI/volf-on two flexible methods of 2-dimensional regression analysis.pdf
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Experiential Avoidance, Mindfulness and Depression in Spinal Cord Injuries
DEFF Research Database (Denmark)
Skinner, Timothy C.; Roberton, Terri; Allison, Garry T.
2010-01-01
) completed a questionnaire including the depression subscale of the Depression Anxiety Stress Scale, the Acceptance and Action Questionnaire (AAQ-2; Bond et al., 2007) and the Mindful Attention Awareness Scale (MAAS; Brown & Ryan, 2003). Thirty per cent of participants scored above the cut-off for possible...... depression, with equal numbers experiencing mild, moderate or severe depression. Mindfulness and experiential avoidance were significantly associated with depression, and were intercorrelated. Further, regression analysis indicated that experiential avoidance mediated the relationship between depression......This preliminary study sought to explore the link between depression, experiential avoidance and mindfulness in people with a spinal cord injury (SCI). We surveyed patients listed on the SCI database at Royal Perth Hospital who had experienced an injury over the last 10 years. Respondents (62...
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Beydoun, Hind A; Beydoun, May A; Kaufman, Jay S; Lo, Bruce; Zonderman, Alan B
2012-09-01
To date, few systematic reviews of observational studies have been conducted to comprehensively evaluate the co-morbidity of intimate partner violence (IPV) and specific depression outcomes in women. In this systematic review and meta-analysis, we summarize the extant literature and estimate the magnitude of the association between IPV and key depressive outcomes (elevated depressive symptoms, diagnosed major depressive disorder and postpartum depression). PubMed (January 1, 1980-December 31, 2010) searches of English-language observational studies were conducted. Most of the selected 37 studies had cross-sectional population-based designs, focused on elevated depressive symptoms and were conducted in the United States. Most studies suggested moderate or strong positive associations between IPV and depression. Our meta-analysis suggested two to three-fold increased risk of major depressive disorder and 1.5-2-fold increased risk of elevated depressive symptoms and postpartum depression among women exposed to intimate partner violence relative to non-exposed women. A sizable proportion (9%-28%) of major depressive disorder, elevated depressive symptoms, and postpartum depression can be attributed to lifetime exposure to IPV. In an effort to reduce the burden of depression, continued research is recommended for evaluating IPV preventive strategies. Copyright © 2012 Elsevier Ltd. All rights reserved.
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Chan, Derwin K C; Zhang, Xin; Fung, Helene H; Hagger, Martin S
2015-03-01
Utilizing a World Health Organization (WHO) multi-national dataset, the present study examined the relationships between emotion, affective variability (i.e., the fluctuation of emotional status), and depression across six developing countries, including China (N=15,050); Ghana (N=5,573); India (N=12,198); Mexico (N=5,448); South Africa (N=4,227); and Russia (N=4,947). Using moderated logistic regression and hierarchical multiple regression, the effects of emotion, affective variability, culture, and their interactions on depression and depressive symptoms were examined when statistically controlling for a number of external factors (i.e., age, gender, marital status, education level, income, smoking, alcohol drinking, physical activity, sedentary behavior, and diet). The results revealed that negative emotion was a statistically significant predictor of depressive symptoms, but the strength of association was smaller in countries with a lower incidence of depression (i.e., China and Ghana). The association between negative affective variability and the risk of depression was higher in India and lower in Ghana. Findings suggested that culture not only was associated with the incidence of depression, but it could also moderate the effects of emotion and affective variability on depression or the experience of depressive symptoms. Copyright © 2014 Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. All rights reserved.
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Directory of Open Access Journals (Sweden)
Derwin K.C. Chan
2015-03-01
Full Text Available Utilizing a World Health Organization (WHO multi-national dataset, the present study examined the relationships between emotion, affective variability (i.e., the fluctuation of emotional status, and depression across six developing countries, including China (N = 15,050; Ghana (N = 5,573; India (N = 12,198; Mexico (N = 5,448; South Africa (N = 4,227; and Russia (N = 4,947. Using moderated logistic regression and hierarchical multiple regression, the effects of emotion, affective variability, culture, and their interactions on depression and depressive symptoms were examined when statistically controlling for a number of external factors (i.e., age, gender, marital status, education level, income, smoking, alcohol drinking, physical activity, sedentary behavior, and diet. The results revealed that negative emotion was a statistically significant predictor of depressive symptoms, but the strength of association was smaller in countries with a lower incidence of depression (i.e., China and Ghana. The association between negative affective variability and the risk of depression was higher in India and lower in Ghana. Findings suggested that culture not only was associated with the incidence of depression, but it could also moderate the effects of emotion and affective variability on depression or the experience of depressive symptoms.
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Accounting for covariate measurement error in a Cox model analysis of recurrence of depression.
Liu, K; Mazumdar, S; Stone, R A; Dew, M A; Houck, P R; Reynolds, C F
2001-01-01
When a covariate measured with error is used as a predictor in a survival analysis using the Cox model, the parameter estimate is usually biased. In clinical research, covariates measured without error such as treatment procedure or sex are often used in conjunction with a covariate measured with error. In a randomized clinical trial of two types of treatments, we account for the measurement error in the covariate, log-transformed total rapid eye movement (REM) activity counts, in a Cox model analysis of the time to recurrence of major depression in an elderly population. Regression calibration and two variants of a likelihood-based approach are used to account for measurement error. The likelihood-based approach is extended to account for the correlation between replicate measures of the covariate. Using the replicate data decreases the standard error of the parameter estimate for log(total REM) counts while maintaining the bias reduction of the estimate. We conclude that covariate measurement error and the correlation between replicates can affect results in a Cox model analysis and should be accounted for. In the depression data, these methods render comparable results that have less bias than the results when measurement error is ignored.
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Cooney, Laura G; Lee, Iris; Sammel, Mary D; Dokras, Anuja
2017-05-01
Do women with polycystic ovary syndrome (PCOS) have an increased prevalence of moderate and severe depressive and anxiety symptoms compared with control women, and do these symptoms correlate with age, BMI, testosterone, hirsutism or insulin resistance (IR)? Women with PCOS have significantly increased odds of moderate and severe depressive and anxiety symptoms, independent of obesity, and the symptoms are weakly associated with age, BMI, elevated testosterone, hirsutism and IR. Previous studies have reported that women with PCOS have an increased prevalence of mild depressive and anxiety symptoms or an increase in mean depression and anxiety scores, although these scores are usually within the normal range. Thus, it is therefore not clear whether these findings are clinically significant. The prevalence of moderate and severe depressive and anxiety symptoms, which require follow-up and would benefit from treatment, is not known in this population. A comprehensive systematic review (SR) was performed up to January 2016 and included 30 cross-sectional studies, representing 3050 subjects with PCOS and 3858 controls, from 10 different countries. The meta-analysis (MA) on depressive symptoms included 18 studies and the MA on anxiety symptoms included 9 studies. A separate SR identified 15 studies for the meta-regression examining the associations with PCOS-related symptoms or comorbidities. All studies included adult women with PCOS, defined by the National Institutes of Health or Rotterdam criteria, and a control group without PCOS. Ovid, Embase, PsychInfo and Cochrane were searched up to January 2016. Included studies used a validated screening tool to compare the prevalence or mean scores of depressive and/or anxiety symptoms. Random effects MA was used to estimate the pooled odds ratio (OR) of depressive and anxiety symptoms. Sensitivity analyses of methodological characteristics and a meta-regression of the pooled standardized mean difference (SMD) to evaluate
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Resting-state functional magnetic resonance imaging: the impact of regression analysis.
Yeh, Chia-Jung; Tseng, Yu-Sheng; Lin, Yi-Ru; Tsai, Shang-Yueh; Huang, Teng-Yi
2015-01-01
To investigate the impact of regression methods on resting-state functional magnetic resonance imaging (rsfMRI). During rsfMRI preprocessing, regression analysis is considered effective for reducing the interference of physiological noise on the signal time course. However, it is unclear whether the regression method benefits rsfMRI analysis. Twenty volunteers (10 men and 10 women; aged 23.4 ± 1.5 years) participated in the experiments. We used node analysis and functional connectivity mapping to assess the brain default mode network by using five combinations of regression methods. The results show that regressing the global mean plays a major role in the preprocessing steps. When a global regression method is applied, the values of functional connectivity are significantly lower (P ≤ .01) than those calculated without a global regression. This step increases inter-subject variation and produces anticorrelated brain areas. rsfMRI data processed using regression should be interpreted carefully. The significance of the anticorrelated brain areas produced by global signal removal is unclear. Copyright © 2014 by the American Society of Neuroimaging.
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Development of a User Interface for a Regression Analysis Software Tool
Ulbrich, Norbert Manfred; Volden, Thomas R.
2010-01-01
An easy-to -use user interface was implemented in a highly automated regression analysis tool. The user interface was developed from the start to run on computers that use the Windows, Macintosh, Linux, or UNIX operating system. Many user interface features were specifically designed such that a novice or inexperienced user can apply the regression analysis tool with confidence. Therefore, the user interface s design minimizes interactive input from the user. In addition, reasonable default combinations are assigned to those analysis settings that influence the outcome of the regression analysis. These default combinations will lead to a successful regression analysis result for most experimental data sets. The user interface comes in two versions. The text user interface version is used for the ongoing development of the regression analysis tool. The official release of the regression analysis tool, on the other hand, has a graphical user interface that is more efficient to use. This graphical user interface displays all input file names, output file names, and analysis settings for a specific software application mode on a single screen which makes it easier to generate reliable analysis results and to perform input parameter studies. An object-oriented approach was used for the development of the graphical user interface. This choice keeps future software maintenance costs to a reasonable limit. Examples of both the text user interface and graphical user interface are discussed in order to illustrate the user interface s overall design approach.
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the impact of personality on depression among university students in Taiwan.
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.
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Depressive disorder in pregnant Latin women: does intimate partner violence matter?
Fonseca-Machado, Mariana de Oliveira; Alves, Lisiane Camargo; Monteiro, Juliana Cristina Dos Santos; Stefanello, Juliana; Nakano, Ana Márcia Spanó; Haas, Vanderlei José; Gomes-Sponholz, Flávia
2015-05-01
To identify the association of antenatal depressive symptoms with intimate partner violence during the current pregnancy in Brazilian women. Intimate partner violence is an important risk factor for antenatal depression. To the authors' knowledge, there has been no study to date that assessed the association between intimate partner violence during pregnancy and antenatal depressive symptoms among Brazilian women. Cross-sectional study. Three hundred and fifty-eight pregnant women were enrolled in the study. The Edinburgh Postnatal Depression Scale and an adapted version of the instrument used in the World Health Organization Multi-country Study on Women's Health and Domestic Violence were used to measure antenatal depressive symptoms and psychological, physical and sexual acts of intimate partner violence during the current pregnancy respectively. Multiple logistic regression and multiple linear regression were used for data analysis. The prevalence of antenatal depressive symptoms, as determined by the cut-off score of 12 in the Edinburgh Postnatal Depression Scale, was 28·2% (101). Of the participants, 63 (17·6%) reported some type of intimate partner violence during pregnancy. Among them, 60 (95·2%) reported suffering psychological violence, 23 (36·5%) physical violence and one (1·6%) sexual violence. Multiple logistic regression and multiple linear regression indicated that antenatal depressive symptoms are extremely associated with intimate partner violence during pregnancy. Among Brazilian women, exposure to intimate partner violence during pregnancy increases the chances of experiencing antenatal depressive symptoms. Clinical nurses and nurses midwifes should pay attention to the particularities of Brazilian women, especially with regard to the occurrence of intimate partner violence, whose impacts on the mental health of this population are extremely significant, both during the gestational period and postpartum. © 2015 John Wiley & Sons Ltd.
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Method for nonlinear exponential regression analysis
Junkin, B. G.
1972-01-01
Two computer programs developed according to two general types of exponential models for conducting nonlinear exponential regression analysis are described. Least squares procedure is used in which the nonlinear problem is linearized by expanding in a Taylor series. Program is written in FORTRAN 5 for the Univac 1108 computer.
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Depressive symptoms in institutionalized older adults
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Lívia Maria Santiago
2014-04-01
Full Text Available OBJECTIVE To estimate the prevalence of depressive symptoms among institutionalized elderly individuals and to analyze factors associated with this condition. METHODS This was a cross-sectional study involving 462 individuals aged 60 or older, residents in long stay institutions in four Brazilian municipalities. The dependent variable was assessed using the 15-item Geriatric Depression Scale. Poisson’s regression was used to evaluate associations with co-variables. We investigated which variables were most relevant in terms of presence of depressive symptoms within the studied context through factor analysis. RESULTS Prevalence of depressive symptoms was 48.7%. The variables associated with depressive symptoms were: regular/bad/very bad self-rated health; comorbidities; hospitalizations; and lack of friends in the institution. Five components accounted for 49.2% of total variance of the sample: functioning, social support, sensory deficiency, institutionalization and health conditions. In the factor analysis, functionality and social support were the components which explained a large part of observed variance. CONCLUSIONS A high prevalence of depressive symptoms, with significant variation in distribution, was observed. Such results emphasize the importance of health conditions and functioning for institutionalized older individuals developing depression. They also point to the importance of providing opportunities for interaction among institutionalized individuals.
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Chang, Ya-Ting; Lu, Cheng-Hsien; Wu, Ming-Kung; Hsu, Shih-Wei; Huang, Chi-Wei; Chang, Wen-Neng; Lien, Chia-Yi; Lee, Jun-Jun; Chang, Chiung-Chih
2017-01-01
Purpose: In Parkinson's disease with mild cognitive impairment (PD-MCI), we investigated the clinical significance of salience network (SN) in depression and cognitive performance. Methods: Seventy seven PD-MCI patients that fulfilled multi-domain and non-amnestic subtype were included. Gray matter structural covariance networks were constructed by 3D T1-magnetic resonance imaging and seed based analysis. The patients were divided into two groups by psychiatric interviews and screening of Geriatric Depression Scale (GDS): PD-MCI with depression (PD-MCI-D) or without depression (PD-MCI-ND). The seed or peak cluster volume, or the significant differences in the regression slopes in each seed-peak cluster correlation, were used to evaluate the significance with the neurobehavioral scores. Results: This study is the first to demonstrate that the PD-MCI-ND group presented a larger number of voxels of structural covariance in SN than the PD-MCI-D group. The right fronto-insular seed volumes and the peak cluster of left lingual gyrus showed significant inverse correlation with the Geriatric Depression Scale (GDS; r = -0.231, P = 0.046). Conclusions: This study is the first to validate the clinical significance of the SN in PD-MCI-D. The right insular seed value and the SN correlated with the severity of depression in PD-MCI.
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International Nuclear Information System (INIS)
Coleman, D.J.; Lizzi, F.L.; Silverman, R.H.; Ellsworth, R.M.; Haik, B.G.; Abramson, D.H.; Smith, M.E.; Rondeau, M.J.
1985-01-01
Parameters derived from computer analysis of digital radio-frequency (rf) ultrasound scan data of untreated uveal malignant melanomas were examined for correlations with tumor regression following cobalt-60 plaque. Parameters included tumor height, normalized power spectrum and acoustic tissue type (ATT). Acoustic tissue type was based upon discriminant analysis of tumor power spectra, with spectra of tumors of known pathology serving as a model. Results showed ATT to be correlated with tumor regression during the first 18 months following treatment. Tumors with ATT associated with spindle cell malignant melanoma showed over twice the percentage reduction in height as those with ATT associated with mixed/epithelioid melanomas. Pre-treatment height was only weakly correlated with regression. Additionally, significant spectral changes were observed following treatment. Ultrasonic spectrum analysis thus provides a noninvasive tool for classification, prediction and monitoring of tumor response to cobalt-60 plaque
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Directory of Open Access Journals (Sweden)
Giuseppe Grosso
Full Text Available BACKGROUND: Despite omega-3 polyunsaturated fatty acids (PUFA supplementation in depressed patients have been suggested to improve depressive symptomatology, previous findings are not univocal. OBJECTIVES: To conduct an updated meta-analysis of randomized controlled trials (RCTs of omega-3 PUFA treatment of depressive disorders, taking into account the clinical differences among patients included in the studies. METHODS: A search on MEDLINE, EMBASE, PsycInfo, and the Cochrane Database of RCTs using omega-3 PUFA on patients with depressive symptoms published up to August 2013 was performed. Standardized mean difference in clinical measure of depression severity was primary outcome. Type of omega-3 used (particularly eicosapentaenoic acid [EPA] and docosahexaenoic acid [DHA] and omega-3 as mono- or adjuvant therapy was also examined. Meta-regression analyses assessed the effects of study size, baseline depression severity, trial duration, dose of omega-3, and age of patients. RESULTS: Meta-analysis of 11 and 8 trials conducted respectively on patients with a DSM-defined diagnosis of major depressive disorder (MDD and patients with depressive symptomatology but no diagnosis of MDD demonstrated significant clinical benefit of omega-3 PUFA treatment compared to placebo (standardized difference in random-effects model 0.56 SD [95% CI: 0.20, 0.92] and 0.22 SD [95% CI: 0.01, 0.43], respectively; pooled analysis was 0.38 SD [95% CI: 0.18, 0.59]. Use of mainly EPA within the preparation, rather than DHA, influenced final clinical efficacy. Significant clinical efficacy had the use of omega-3 PUFA as adjuvant rather than mono-therapy. No relation between efficacy and study size, baseline depression severity, trial duration, age of patients, and study quality was found. Omega-3 PUFA resulted effective in RCTs on patients with bipolar disorder, whereas no evidence was found for those exploring their efficacy on depressive symptoms in young populations
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Grosso, Giuseppe; Pajak, Andrzej; Marventano, Stefano; Castellano, Sabrina; Galvano, Fabio; Bucolo, Claudio; Drago, Filippo; Caraci, Filippo
2014-01-01
Background Despite omega-3 polyunsaturated fatty acids (PUFA) supplementation in depressed patients have been suggested to improve depressive symptomatology, previous findings are not univocal. Objectives To conduct an updated meta-analysis of randomized controlled trials (RCTs) of omega-3 PUFA treatment of depressive disorders, taking into account the clinical differences among patients included in the studies. Methods A search on MEDLINE, EMBASE, PsycInfo, and the Cochrane Database of RCTs using omega-3 PUFA on patients with depressive symptoms published up to August 2013 was performed. Standardized mean difference in clinical measure of depression severity was primary outcome. Type of omega-3 used (particularly eicosapentaenoic acid [EPA] and docosahexaenoic acid [DHA]) and omega-3 as mono- or adjuvant therapy was also examined. Meta-regression analyses assessed the effects of study size, baseline depression severity, trial duration, dose of omega-3, and age of patients. Results Meta-analysis of 11 and 8 trials conducted respectively on patients with a DSM-defined diagnosis of major depressive disorder (MDD) and patients with depressive symptomatology but no diagnosis of MDD demonstrated significant clinical benefit of omega-3 PUFA treatment compared to placebo (standardized difference in random-effects model 0.56 SD [95% CI: 0.20, 0.92] and 0.22 SD [95% CI: 0.01, 0.43], respectively; pooled analysis was 0.38 SD [95% CI: 0.18, 0.59]). Use of mainly EPA within the preparation, rather than DHA, influenced final clinical efficacy. Significant clinical efficacy had the use of omega-3 PUFA as adjuvant rather than mono-therapy. No relation between efficacy and study size, baseline depression severity, trial duration, age of patients, and study quality was found. Omega-3 PUFA resulted effective in RCTs on patients with bipolar disorder, whereas no evidence was found for those exploring their efficacy on depressive symptoms in young populations, perinatal depression
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[Relationship between depression symptoms and stress in occupational populations].
Yu, Shan-fa; Yao, San-qiao; Ding, Hui; Ma, Liang-qing; Yang, Yan; Wang, Zhi-hui
2006-03-01
To explore the relationship between the depression symptoms and occupational stress in occupational populations. Depression symptoms were measured by using the center for epidemiological survey-depression scale. The occupational stress instrument were employed to investigate the stressors, personalities, social support, and coping strategies as well as the subject's age, length of service, sex, educational level and marriage status. Chi(2) test was used for analyzing the difference of depression. The multiple covariance analysis was used for testing the difference of stressors, personalities, social support, and coping strategies among the groups with different scores of depression. The variables obtained in the optional prediction equation were identified by multiple stepwise regression analysis. The incidence rate of definite depression symptoms was 40.2%. The total average score was 21.74 +/- 8.99. Henan province had the highest incidence rate of depression symptoms, 43.8%, Hebei 39.4%, and Beijing the lowest, 23.4%. The male workers had the higher incidence rate of depression symptoms, 43. 0% than female, 35.4% (P affect the mental health.
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Anxiety, affect, self-esteem, and stress: mediation and moderation effects on depression.
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Ali Al Nima
Full Text Available Mediation analysis investigates whether a variable (i.e., mediator changes in regard to an independent variable, in turn, affecting a dependent variable. Moderation analysis, on the other hand, investigates whether the statistical interaction between independent variables predict a dependent variable. Although this difference between these two types of analysis is explicit in current literature, there is still confusion with regard to the mediating and moderating effects of different variables on depression. The purpose of this study was to assess the mediating and moderating effects of anxiety, stress, positive affect, and negative affect on depression.Two hundred and two university students (males = 93, females = 113 completed questionnaires assessing anxiety, stress, self-esteem, positive and negative affect, and depression. Mediation and moderation analyses were conducted using techniques based on standard multiple regression and hierarchical regression analyses.The results indicated that (i anxiety partially mediated the effects of both stress and self-esteem upon depression, (ii that stress partially mediated the effects of anxiety and positive affect upon depression, (iii that stress completely mediated the effects of self-esteem on depression, and (iv that there was a significant interaction between stress and negative affect, and between positive affect and negative affect upon depression.The study highlights different research questions that can be investigated depending on whether researchers decide to use the same variables as mediators and/or moderators.
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Anxiety, Affect, Self-Esteem, and Stress: Mediation and Moderation Effects on Depression
Nima, Ali Al; Rosenberg, Patricia; Archer, Trevor; Garcia, Danilo
2013-01-01
Background Mediation analysis investigates whether a variable (i.e., mediator) changes in regard to an independent variable, in turn, affecting a dependent variable. Moderation analysis, on the other hand, investigates whether the statistical interaction between independent variables predict a dependent variable. Although this difference between these two types of analysis is explicit in current literature, there is still confusion with regard to the mediating and moderating effects of different variables on depression. The purpose of this study was to assess the mediating and moderating effects of anxiety, stress, positive affect, and negative affect on depression. Methods Two hundred and two university students (males = 93, females = 113) completed questionnaires assessing anxiety, stress, self-esteem, positive and negative affect, and depression. Mediation and moderation analyses were conducted using techniques based on standard multiple regression and hierarchical regression analyses. Main Findings The results indicated that (i) anxiety partially mediated the effects of both stress and self-esteem upon depression, (ii) that stress partially mediated the effects of anxiety and positive affect upon depression, (iii) that stress completely mediated the effects of self-esteem on depression, and (iv) that there was a significant interaction between stress and negative affect, and between positive affect and negative affect upon depression. Conclusion The study highlights different research questions that can be investigated depending on whether researchers decide to use the same variables as mediators and/or moderators. PMID:24039896
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Detecting overdispersion in count data: A zero-inflated Poisson regression analysis
Afiqah Muhamad Jamil, Siti; Asrul Affendi Abdullah, M.; Kek, Sie Long; Nor, Maria Elena; Mohamed, Maryati; Ismail, Norradihah
2017-09-01
This study focusing on analysing count data of butterflies communities in Jasin, Melaka. In analysing count dependent variable, the Poisson regression model has been known as a benchmark model for regression analysis. Continuing from the previous literature that used Poisson regression analysis, this study comprising the used of zero-inflated Poisson (ZIP) regression analysis to gain acute precision on analysing the count data of butterfly communities in Jasin, Melaka. On the other hands, Poisson regression should be abandoned in the favour of count data models, which are capable of taking into account the extra zeros explicitly. By far, one of the most popular models include ZIP regression model. The data of butterfly communities which had been called as the number of subjects in this study had been taken in Jasin, Melaka and consisted of 131 number of subjects visits Jasin, Melaka. Since the researchers are considering the number of subjects, this data set consists of five families of butterfly and represent the five variables involve in the analysis which are the types of subjects. Besides, the analysis of ZIP used the SAS procedure of overdispersion in analysing zeros value and the main purpose of continuing the previous study is to compare which models would be better than when exists zero values for the observation of the count data. The analysis used AIC, BIC and Voung test of 5% level significance in order to achieve the objectives. The finding indicates that there is a presence of over-dispersion in analysing zero value. The ZIP regression model is better than Poisson regression model when zero values exist.
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Lucassen, Mathijs Fg; Stasiak, Karolina; Samra, Rajvinder; Frampton, Christopher Ma; Merry, Sally N
2017-08-01
Research has suggested that sexual minority young people are more likely to have depressive symptoms or depressive disorder, but to date most studies in the field have relied on convenience-based samples. This study overcomes this limitation by systematically reviewing the literature from population-based studies and conducting a meta-analysis to identify whether depressive disorder and depressive symptoms are elevated in sexual minority youth. A systematic review and meta-analysis were conducted and informed by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement to determine if rates of depressive symptoms or depressive disorder differ for sexual minority youth, relative to heterosexual adolescents. MEDLINE, PsycINFO, EMBASE and ERIC databases were searched. Studies reporting depressive symptom data or the prevalence of depressive disorder in population-based samples of adolescents, which included sexual minority youth and heterosexual young people, were included in the review. A meta-analysis was conducted to examine differences between groups. Twenty-three articles met the inclusion criteria. The proportion of sexual minority youth in the studies ranged from 2.3% to 12%. Sexual minority youth reported higher rates of depressive symptoms and depressive disorder (odds ratio = 2.94, p depressive symptoms when compared to male sexual minority youth (standardized mean difference, d = 0.34, p depressive symptoms or depressive disorder was measured. There is robust evidence that rates of depressive disorder and depressive symptoms are elevated in sexual minority youth in comparison to heterosexual young people. Despite the elevated risk of depressive symptoms or depressive disorder for sexual minority youth, the treatment for this group of young people has received little attention.
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An Analysis of Bank Service Satisfaction Based on Quantile Regression and Grey Relational Analysis
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Wen-Tsao Pan
2016-01-01
Full Text Available Bank service satisfaction is vital to the success of a bank. In this paper, we propose to use the grey relational analysis to gauge the levels of service satisfaction of the banks. With the grey relational analysis, we compared the effects of different variables on service satisfaction. We gave ranks to the banks according to their levels of service satisfaction. We further used the quantile regression model to find the variables that affected the satisfaction of a customer at a specific quantile of satisfaction level. The result of the quantile regression analysis provided a bank manager with information to formulate policies to further promote satisfaction of the customers at different quantiles of satisfaction level. We also compared the prediction accuracies of the regression models at different quantiles. The experiment result showed that, among the seven quantile regression models, the median regression model has the best performance in terms of RMSE, RTIC, and CE performance measures.
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Araujo, Jaciana Marlova Gonçalves; dos Passos, Miguel Bezerra; Molina, Mariane Lopez; da Silva, Ricardo Azevedo; Souza, Luciano Dias de Mattos
2016-02-28
The aim of this study was to determine the differences in personality traits between individuals with Major Depressive Disorder (MDD) and Bipolar Disorder (BD) during a depressive episode, when it can be hard to differentiate them. Data on personality traits (NEO-FFI), mental disorders (Mini International Neuropsychiatric Interview Plus) and socioeconomic variables were collected from 245 respondents who were in a depressive episode. Individuals with MDD (183) and BD (62) diagnosis were compared concerning personality traits, clinical aspects and socioeconomic variables through bivariate analyses (chi-square and ANOVA) and multivariate analysis (logistic regression). There were no differences in the prevalence of the disorders between socioeconomic and clinical variables. As for the personality traits, only the difference in Agreeableness was statistically significant. Considering the control of suicide risk, gender and anxiety comorbidity in the multivariate analysis, the only variable that remained associated was Agreeableness, with an increase in MDD cases. The brief version of the NEO inventories (NEO-FFI) does not allow for the analysis of personality facets. During a depressive episode, high levels of Agreeableness can indicate that MDD is a more likely diagnosis than BD. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
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Gardening/Yard Work and Depressive Symptoms in African Americans.
Torres, Elisa R; Sampselle, Carolyn M; Ronis, David L; Neighbors, Harold W; Gretebeck, Kimberlee A
2016-04-01
The purpose of this study was to examine the frequency of gardening/yard work in relation to depressive symptoms in African-Americans while controlling for biological and social factors. A secondary analysis was performed on the National Survey of American Life (n=2,903) using logistic regression for complex samples. Gardening/Yard work was measured by self-reported frequency. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression scale. Biological and social factors, not gardening/yard work, were associated with depressive symptoms. Biological and social factors may need to be addressed before the association between gardening/yard work and depressive symptoms can be determined. Copyright © 2015 Elsevier Inc. All rights reserved.
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Anxiety and Depression in Patients with Chronic Obstructive Pulmonary Disease
Institute of Scientific and Technical Information of China (English)
LU Dong-mei; MA Jun-peng; ZOU Shao-hong; LENG Qiu-ping; YANG Xiao-hong
2017-01-01
Background: Anxiety and depression may have deleterious effects on patients with chronic obstructive pulmonary disease (COPD). However, the evidence underlying the increased risks of anxiety and depression in COPD patients in Xinjiang are poorly defined. This study aimed to investigate the burden and related factors of depression and anxiety among patients with COPD in Xinjiang. Methods: The study included 62 patients with COPD, aged (64.48±9.83) years, 59 patients were hospitalized due to exacerbations, 3 patients were included due to periodically check-up in the hospital. Depression and anxiety in these patients were evaluated through the Hamilton Anxiety Scale (HAMA) and Hamilton Depression Scale (HAMD). Stepwise multiple regression analysis was used to evaluate the clinical characteristics correlated to depression and anxiety. Results: The prevalences of depression and anxiety were higher (62.9% and 95.2%) in COPD patients in Xinjiang. Anxiety was more common in patients than depression. Respectively, the female population with COPD was differentiated from males by higher levels of depression score, female COPD patients were more strongly correlated with depression (correction for regression coefficient: β=0.87; P=0.04). Patients received university education level were more likely to suffer the pain of anxiety (correction for regression coefficient: β=0.61; P=0.002) than lower education level. In addition, patients with the average monthly income less than ￥1 000 was more likely to suffer both the pain of anxiety and depression (P<0.05). Conclusion: This study showed the high prevalence of anxiety and depression in COPD patients in Xinjiang, even in the condition of moderate COPD in terms of FEV1%. Both anxiety and depression were correlated with the lower monthly income. Female COPD patients were more exposed to depression in this group. Patients with higher educational level tended to be correlated with anxiety. Screening tools may help recognition of
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Directory of Open Access Journals (Sweden)
Felipe B. Schuch
Full Text Available Objective: To evaluate the antidepressant effects of exercise in older adults, using randomized controlled trial (RCT data. Methods: We conducted a meta-analysis of exercise in older adults, addressing limitations of previous works. RCTs of exercise interventions in older people with depression (≥ 60 years comparing exercise vs. control were eligible. A random-effects meta-analysis calculating the standardized mean difference (SMD (95% confidence interval [95%CI], meta-regressions, and trim, fill, and fail-safe number analyses were conducted. Results: Eight RCTs were included, representing 138 participants in exercise arms and 129 controls. Exercise had a large and significant effect on depression (SMD = -0.90 [95%CI -0.29 to -1.51], with a fail-safe number of 71 studies. Significant effects were found for 1 mixed aerobic and anaerobic interventions, 2 at moderate intensity, 3 that were group-based, 4 that utilized mixed supervised and unsupervised formats, and 5 in people without other clinical comorbidities. Conclusion: Adjusting for publication bias increased the beneficial effects of exercise in three subgroup analysis, suggesting that previous meta-analyses have underestimated the benefits of exercise due to publication bias. We advocate that exercise be considered as a routine component of the management of depression in older adults.
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Race differences in depression vulnerability following Hurricane Katrina.
Ali, Jeanelle S; Farrell, Amy S; Alexander, Adam C; Forde, David R; Stockton, Michelle; Ward, Kenneth D
2017-05-01
This study investigated whether racial disparities in depression were present after Hurricane Katrina. Data were gathered from 932 New Orleans residents who were present when Hurricane Katrina struck, and who returned to New Orleans the following year. Multiple logistic regression models evaluated racial differences in screening positive for depression (a score ≥16 on the Center for Epidemiologic Studies Depression Scale), and explored whether differential vulnerability (prehurricane physical and mental health functioning and education level), differential exposure to hurricane-related stressors, and loss of social support moderated and/or reduced the association of race with depression. A univariate logistic regression analysis showed the odds for screening positive for depression were 86% higher for African Americans than for Caucasians (odds ratio [OR] = 1.86 [1.28-2.71], p = .0012). However, after controlling simultaneously for sociodemographic characteristics, preexisting vulnerabilities, social support, and trauma-specific factors, race was no longer a significant correlate for screening positive for depression (OR = 1.54 [0.95-2.48], p = .0771). The racial disparity in postdisaster depression seems to be confounded by sociodemographic characteristics, preexisting vulnerabilities, social support, and trauma-specific factors. Nonetheless, even after adjusting for these factors, there was a nonsignificant trend effect for race, which could suggest race played an important role in depression outcomes following Hurricane Katrina. Future studies should examine these associations prospectively, using stronger assessments for depression, and incorporate measures for discrimination and segregation, to further understand possible racial disparities in depression after Hurricane Katrina. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
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Research and analyze of physical health using multiple regression analysis
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T. S. Kyi
2014-01-01
Full Text Available This paper represents the research which is trying to create a mathematical model of the "healthy people" using the method of regression analysis. The factors are the physical parameters of the person (such as heart rate, lung capacity, blood pressure, breath holding, weight height coefficient, flexibility of the spine, muscles of the shoulder belt, abdominal muscles, squatting, etc.., and the response variable is an indicator of physical working capacity. After performing multiple regression analysis, obtained useful multiple regression models that can predict the physical performance of boys the aged of fourteen to seventeen years. This paper represents the development of regression model for the sixteen year old boys and analyzed results.
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Schuetrumpf, B.; Nazarewicz, W.; Reinhard, P.-G.
2017-08-01
Background: The central depression of nucleonic density, i.e., a reduction of density in the nuclear interior, has been attributed to many factors. For instance, bubble structures in superheavy nuclei are believed to be due to the electrostatic repulsion. In light nuclei, the mechanism behind the density reduction in the interior has been discussed in terms of shell effects associated with occupations of s orbits. Purpose: The main objective of this work is to reveal mechanisms behind the formation of central depression in nucleonic densities in light and heavy nuclei. To this end, we introduce several measures of the internal nucleonic density. Through the statistical analysis, we study the information content of these measures with respect to nuclear matter properties. Method: We apply nuclear density functional theory with Skyrme functionals. Using the statistical tools of linear least square regression, we inspect correlations between various measures of central depression and model parameters, including nuclear matter properties. We study bivariate correlations with selected quantities as well as multiple correlations with groups of parameters. Detailed correlation analysis is carried out for 34Si for which a bubble structure has been reported recently, 48Ca, and N =82 , 126, and 184 isotonic chains. Results: We show that the central depression in medium-mass nuclei is very sensitive to shell effects, whereas for superheavy systems it is firmly driven by the electrostatic repulsion. An appreciable semibubble structure in proton density is predicted for 294Og, which is currently the heaviest nucleus known experimentally. Conclusion: Our correlation analysis reveals that the central density indicators in nuclei below 208Pb carry little information on parameters of nuclear matter; they are predominantly driven by shell structure. On the other hand, in the superheavy nuclei there exists a clear relationship between the central nucleonic density and symmetry energy.
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An improved multiple linear regression and data analysis computer program package
Sidik, S. M.
1972-01-01
NEWRAP, an improved version of a previous multiple linear regression program called RAPIER, CREDUC, and CRSPLT, allows for a complete regression analysis including cross plots of the independent and dependent variables, correlation coefficients, regression coefficients, analysis of variance tables, t-statistics and their probability levels, rejection of independent variables, plots of residuals against the independent and dependent variables, and a canonical reduction of quadratic response functions useful in optimum seeking experimentation. A major improvement over RAPIER is that all regression calculations are done in double precision arithmetic.
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Satterthwaite, T D; Cook, P A; Bruce, S E; Conway, C; Mikkelsen, E; Satchell, E; Vandekar, S N; Durbin, T; Shinohara, R T; Sheline, Y I
2016-07-01
Depressive symptoms are common in multiple psychiatric disorders and are frequent sequelae of trauma. A dimensional conceptualization of depression suggests that symptoms should be associated with a continuum of deficits in specific neural circuits. However, most prior investigations of abnormalities in functional connectivity have typically focused on a single diagnostic category using hypothesis-driven seed-based analyses. Here, using a sample of 105 adult female participants from three diagnostic groups (healthy controls, n=17; major depression, n=38; and post-traumatic stress disorder, n=50), we examine the dimensional relationship between resting-state functional dysconnectivity and severity of depressive symptoms across diagnostic categories using a data-driven analysis (multivariate distance-based matrix regression). This connectome-wide analysis identified foci of dysconnectivity associated with depression severity in the bilateral amygdala. Follow-up seed analyses using subject-specific amygdala segmentations revealed that depression severity was associated with amygdalo-frontal hypo-connectivity in a network of regions including bilateral dorsolateral prefrontal cortex, anterior cingulate and anterior insula. In contrast, anxiety was associated with elevated connectivity between the amygdala and the ventromedial prefrontal cortex. Taken together, these results emphasize the centrality of the amygdala in the pathophysiology of depressive symptoms, and suggest that dissociable patterns of amygdalo-frontal dysconnectivity are a critical neurobiological feature across clinical diagnostic categories.
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Depression in university students: associations with impulse control disorders.
Leppink, Eric W; Lust, Katherine; Grant, Jon E
2016-09-01
The purpose of this study was to assess the implications of depression in a sample of university students, particularly relating to impulse control disorders. While previous studies have shown high rates of depression among university students, no study to date has assessed whether levels of depression show associations with the incidence of impulse control disorders in this population. In all, 6000 students participated in the College Student Computer Use Survey. A total of 1717 students completed the scales of interest for this analysis. Participants were assigned to groups based on depression scores: severe (N = 75), mild/moderate (N = 647) and none (N = 995). The three groups were assessed using analysis of variance (ANOVA) or chi-square test. A multinomial logistic regression analysis was used to elucidate associations between depression and impulse control disorder diagnoses. Groups differed across demographic, health and academic variables. The severe depression group reported higher rates of skin-picking disorder, compulsive sexual behaviour and compulsive buying. Results suggest a significant association between depression and impulse control disorders. One possibility is that a facet of impulsivity contributes to both problems, which could be important information for clinicians. Future studies will need to clarify the exact nature of the relationship between depression and impulse control disorders.
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Functional data analysis of generalized regression quantiles
Guo, Mengmeng; Zhou, Lan; Huang, Jianhua Z.; Hä rdle, Wolfgang Karl
2013-01-01
Generalized regression quantiles, including the conditional quantiles and expectiles as special cases, are useful alternatives to the conditional means for characterizing a conditional distribution, especially when the interest lies in the tails. We develop a functional data analysis approach to jointly estimate a family of generalized regression quantiles. Our approach assumes that the generalized regression quantiles share some common features that can be summarized by a small number of principal component functions. The principal component functions are modeled as splines and are estimated by minimizing a penalized asymmetric loss measure. An iterative least asymmetrically weighted squares algorithm is developed for computation. While separate estimation of individual generalized regression quantiles usually suffers from large variability due to lack of sufficient data, by borrowing strength across data sets, our joint estimation approach significantly improves the estimation efficiency, which is demonstrated in a simulation study. The proposed method is applied to data from 159 weather stations in China to obtain the generalized quantile curves of the volatility of the temperature at these stations. © 2013 Springer Science+Business Media New York.
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Functional data analysis of generalized regression quantiles
Guo, Mengmeng
2013-11-05
Generalized regression quantiles, including the conditional quantiles and expectiles as special cases, are useful alternatives to the conditional means for characterizing a conditional distribution, especially when the interest lies in the tails. We develop a functional data analysis approach to jointly estimate a family of generalized regression quantiles. Our approach assumes that the generalized regression quantiles share some common features that can be summarized by a small number of principal component functions. The principal component functions are modeled as splines and are estimated by minimizing a penalized asymmetric loss measure. An iterative least asymmetrically weighted squares algorithm is developed for computation. While separate estimation of individual generalized regression quantiles usually suffers from large variability due to lack of sufficient data, by borrowing strength across data sets, our joint estimation approach significantly improves the estimation efficiency, which is demonstrated in a simulation study. The proposed method is applied to data from 159 weather stations in China to obtain the generalized quantile curves of the volatility of the temperature at these stations. © 2013 Springer Science+Business Media New York.
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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.
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Analysis of Relationship Between Personality and Favorite Places with Poisson Regression Analysis
Directory of Open Access Journals (Sweden)
Yoon Song Ha
2018-01-01
Full Text Available A relationship between human personality and preferred locations have been a long conjecture for human mobility research. In this paper, we analyzed the relationship between personality and visiting place with Poisson Regression. Poisson Regression can analyze correlation between countable dependent variable and independent variable. For this analysis, 33 volunteers provided their personality data and 49 location categories data are used. Raw location data is preprocessed to be normalized into rates of visit and outlier data is prunned. For the regression analysis, independent variables are personality data and dependent variables are preprocessed location data. Several meaningful results are found. For example, persons with high tendency of frequent visiting to university laboratory has personality with high conscientiousness and low openness. As well, other meaningful location categories are presented in this paper.
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Takao, Tetsuya; Tsujimura, Akira; Okuda, Hidenobu; Yamamoto, Keisuke; Fukuhara, Shinichiro; Matsuoka, Yasuhiro; Miyagawa, Yasushi; Nonomura, Norio; Okuyama, Akihiko
2011-06-01
The aim of this study was to investigate the relation between lower urinary tract symptoms (LUTS), erectile dysfunction (ED) and depression in Japanese patients with late-onset hypogonadism (LOH) symptoms. The study comprised 87 Japanese patients with LOH symptoms (>27 points on the Aging Males Symptoms Scale). Thirty-four patients were diagnosed as having depression and the remaining 53 patients were diagnosed as not having depression by the Mini International Neuropsychiatric Interview. We compared the International Index of Erectile Function (IIEF) 5, International Prostate Symptom Score (IPSS), IPSS quality-of-life (QOL) index, King's Health Questionnaire (KHQ), endocrinological data, and free uroflow study between depression and non-depression patients and performed multiple logistic regression analysis. IIEF5 scores of depression patients were significantly lower than those of non-depression patients. In KHQ, only the category of general health perceptions was significantly higher in depression patients than non-depression patients. However, IPSS, QOL index, and endocrinological and uroflowmetric data showed no significant difference between the groups. Multiple logistic regression analysis revealed moderate and severe ED to be risk factors for depression. However, LUTS are not related to depression. Moderate and severe ED is correlated with depression, whereas LUTS are not related to depression in Japanese LOH patients.
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Joelson, Andrew M; Geller, Marilyn G; Zylberberg, Haley M; Green, Peter H R; Lebwohl, Benjamin
2018-04-26
The prevalence of depression in celiac disease (CD) is high, and patients are often burdened socially and financially by a gluten-free diet. However, the relationship between depression, somatic symptoms and dietary adherence in CD is complex and poorly understood. We used a patient powered research network (iCureCeliac ® ) to explore the effect that depression has on patients' symptomatic response to a gluten-free diet (GFD). We identified patients with biopsy-diagnosed celiac disease who answered questions pertaining to symptoms (Celiac Symptom Index (CSI)), GFD adherence (Celiac Dietary Adherence Test (CDAT)), and a 5-point, scaled question regarding depressive symptoms relating to patients' celiac disease. We then measured the correlation between symptoms and adherence (CSI vs. CDAT) in patients with depression versus those without depression. We also tested for interaction of depression with regard to the association with symptoms using a multiple linear regression model. Among 519 patients, 86% were female and the mean age was 40.9 years. 46% of patients indicated that they felt "somewhat," "quite a bit," or "very much" depressed because of their disorder. There was a moderate correlation between worsened celiac symptoms and poorer GFD adherence ( r = 0.6, p symptoms and worsening dietary adherence ( r = 0.5, p symptoms related to their disorder, correlation between adherence and symptoms was weaker than those without depressive symptoms. This finding was confirmed with a linear regression analysis, showing that depressive symptoms may modify the effect of a GFD on celiac symptoms. Depressive symptoms may therefore mask the relationship between inadvertent gluten exposure and symptoms. Additional longitudinal and prospective studies are needed to further explore this potentially important finding.
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application of multilinear regression analysis in modeling of soil
African Journals Online (AJOL)
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Accordingly [1, 3] in their work, they applied linear regression ... (MLRA) is a statistical technique that uses several explanatory ... order to check this, they adopted bivariate correlation analysis .... groups, namely A-1 through A-7, based on their relative expected ..... Multivariate Regression in Gorgan Province North of Iran” ...
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Suicide in males and females with cardiovascular disease and comorbid depression.
Hawkins, Michael; Schaffer, Ayal; Reis, Catherine; Sinyor, Mark; Herrmann, Nathan; Lanctôt, Krista L
2016-06-01
Myocardial infarction (MI) has been associated with an increased risk of suicide, further increased among individuals with a comorbid psychiatric illness. A paucity of studies have examined details of suicide among individuals with cardiovascular disease (CVD) and comorbid depression. We aimed to compare demographic, clinical and suicide-specific characteristics between suicide victims with CVD with depression (CVD+D) and without comorbid depression (CVD-D). Coroner data on suicide decedents with CVD (n=413) occurring in Toronto, Canada from 1998 to 2012 were collected. Characteristics were compared between the CVD+D and CVD-D groups. Regression analysis examined for gender differences in these groups. CVD+D subjects compared to CVD-D were more likely to have had a past suicide attempt (p=0.008), and to have experienced a bereavement (p=0.008) or financial stressor (p=0.005) in the past year. Each of these variables remained significantly associated with the presence of depression after the regression analysis. Within the CVD+D group, females were more likely to die from suicide by self-poisoning (psuicide had significant differences in clinical characteristics and specific stressors compared to those without depression. These data may help to better characterize suicide risk and prevention in this vulnerable population. Copyright © 2016 Elsevier B.V. All rights reserved.
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Multiple regression analysis of Jominy hardenability data for boron treated steels
International Nuclear Information System (INIS)
Komenda, J.; Sandstroem, R.; Tukiainen, M.
1997-01-01
The relations between chemical composition and their hardenability of boron treated steels have been investigated using a multiple regression analysis method. A linear model of regression was chosen. The free boron content that is effective for the hardenability was calculated using a model proposed by Jansson. The regression analysis for 1261 steel heats provided equations that were statistically significant at the 95% level. All heats met the specification according to the nordic countries producers classification. The variation in chemical composition explained typically 80 to 90% of the variation in the hardenability. In the regression analysis elements which did not significantly contribute to the calculated hardness according to the F test were eliminated. Carbon, silicon, manganese, phosphorus and chromium were of importance at all Jominy distances, nickel, vanadium, boron and nitrogen at distances above 6 mm. After the regression analysis it was demonstrated that very few outliers were present in the data set, i.e. data points outside four times the standard deviation. The model has successfully been used in industrial practice replacing some of the necessary Jominy tests. (orig.)
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Park, Ji Nam; Han, Mi Ah; Park, Jong; Ryu, So Yeon
2016-04-14
The aim of this study was to analyze the association between general working conditions and depressive symptoms among Korean employees. The target population of the study was native employees nationwide who were at least 15 years old, and 50,032 such individuals were enrolled in the study. Depressive symptoms was assessed using the WHO-5 wellbeing index. Associations between general characteristics, job-related characteristics, work environment, and depressive symptoms were tested using chi-square tests, t-tests, and multiple logistic regression analysis. The prevalence of depressive symptoms was 39% (40.7% in males and 36.5% in females). Multiple regression analysis revealed that male subjects, older subjects, subjects with higher education status, subjects with lower monthly income, current smokers, and frequent drinkers were more likely to have depressive symptoms. In addition, longer weekly work hours, occupation type (skilled, unskilled, operative, or economic sector), shift work, working to tight deadlines, exposure to stress at work, and hazard exposure were associated with depressive symptoms. This representative study will be a guide to help manage depression among Korean employees. We expect that further research will identify additional causal relationships between general or specific working conditions and depression.
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Directory of Open Access Journals (Sweden)
Ji Nam Park
2016-04-01
Full Text Available The aim of this study was to analyze the association between general working conditions and depressive symptoms among Korean employees. The target population of the study was native employees nationwide who were at least 15 years old, and 50,032 such individuals were enrolled in the study. Depressive symptoms was assessed using the WHO-5 wellbeing index. Associations between general characteristics, job-related characteristics, work environment, and depressive symptoms were tested using chi-square tests, t-tests, and multiple logistic regression analysis. The prevalence of depressive symptoms was 39% (40.7% in males and 36.5% in females. Multiple regression analysis revealed that male subjects, older subjects, subjects with higher education status, subjects with lower monthly income, current smokers, and frequent drinkers were more likely to have depressive symptoms. In addition, longer weekly work hours, occupation type (skilled, unskilled, operative, or economic sector, shift work, working to tight deadlines, exposure to stress at work, and hazard exposure were associated with depressive symptoms. This representative study will be a guide to help manage depression among Korean employees. We expect that further research will identify additional causal relationships between general or specific working conditions and depression.
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Understanding logistic regression analysis
Sperandei, Sandro
2014-01-01
Logistic regression is used to obtain odds ratio in the presence of more than one explanatory variable. The procedure is quite similar to multiple linear regression, with the exception that the response variable is binomial. The result is the impact of each variable on the odds ratio of the observed event of interest. The main advantage is to avoid confounding effects by analyzing the association of all variables together. In this article, we explain the logistic regression procedure using ex...
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Post-psychotic depression in schizophrenia.
Chintalapudi, M; Kulhara, P; Avasthi, A
1993-01-01
Post-psychotic depression (PPD) is defined as the development of depression during the phase of remission of schizophrenia. Two groups of DSM-III-R schizophrenics, one with PPD and the other without PPD (30 subjects in each group) were compared. Significantly more patients in PPD group belonged to nuclear families, had longer duration of psychotic phase of the illness, were hospitalised more frequently and had more sadness and anxiety-somatisation during florid illness phase. The PPD group also had more past history of depression. Although PPD patients had better premorbid personal-social adjustment in comparison with non-PPD group, they perceived themselves to be lacking in social support and had experienced more stressful life events. For patients in the PPD group, stepwise multiple regression analysis revealed age of onset, sadness during florid psychotic state, premorbid adjustment, social support and life events as significant determinants of severity of depression in the post-psychotic phase.
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Chen, Qing; DU, Wenyong; Gao, Yan; Ma, Changlin; Ban, Chunxia; Meng, Fu
2017-12-25
Drug therapy combined with family therapy is currently the best treatment for adolescent depression. Nevertheless, family therapy requires an exploration of unresolved problems in the family system, which in practice presents certain difficulties. Previous studies have found that the perceptual differences of family function between parents and children reflect the problems in the family system. To explore the characteristics and role of family functioning and parent-child relationship between adolescents with depressive disorder and their parents. The general information and clinical data of the 93 adolescents with depression were collected. The Family Functioning Assessment Scale and Parent-child Relationship Scale were used to assess adolescents with depressive disorder and their parents. a) The dimensions of family functioning in adolescents with depressive disorder were more negative in communication, emotional response, emotional involvement, roles, and overall functioning than their parents. The differences were statistically significant. Parent-child relationship dimensions: the closeness and parent-child total scores were more negative compared with the parents and the differences were statistically significant. b) All dimensions of parent-child relationship and family functioning in adolescents with depression except the time spent together were negatively correlated or significantly negatively correlated. c) The results of multivariate regression analysis showed: the characteristics of family functioning, emotional involvement, emotional response, family structure, and income of the adolescents with depressive disorder mainly affected the parent-child relationship. There were perceptual differences in partial family functioning and parent-child relationship between adolescents with depressive disorder and their parents. Unclear roles between family members, mutual entanglement, too much or too little emotional investment, negligence of inner feelings
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Subclinical Hypothyroidism after 131I-Treatment of Graves' Disease: A Risk Factor for Depression?
Yu, Jing; Tian, Ai-Juan; Yuan, Xin; Cheng, Xiao-Xin
2016-01-01
Although it is well accepted that there is a close relationship between hypothyroidism and depression, previous studies provided inconsistent or even opposite results in whether subclinical hypothyroidism (SCH) increased the risk of depression. One possible reason is that the etiology of SCH in these studies was not clearly distinguished. We therefore investigated the relationship between SCH resulting from 131I treatment of Graves' disease and depression. The incidence of depression among 95 patients with SCH and 121 euthyroid patients following 131I treatment of Graves' disease was studied. The risk factors of depression were determined with multivariate logistic regression analysis. Thyroid hormone replacement therapy was performed in patients with thyroid-stimulating hormone (TSH) levels exceeding 10 mIU/L. Patients with SCH had significantly higher Hamilton Depression Scale scores, serum TSH and thyroid peroxidase antibody (TPOAb) levels compared with euthyroid patients. Multivariate logistic regression analysis revealed SCH, Graves' eye syndrome and high serum TPO antibody level as risk factors for depression. L-thyroxine treatment is beneficial for SCH patients with serum TSH levels exceeding 10 mIU/L. The results of the present study demonstrated that SCH is prevalent among 131I treated Graves' patients. SCH might increase the risk of developing depression. L-thyroxine replacement therapy helps to resolve depressive disorders in SCH patients with TSH > 10mIU/L. These data provide insight into the relationship between SCH and depression.
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Cucciare, Michael A; Gray, Heather; Azar, Armin; Jimenez, Daniel; Gallagher-Thompson, Dolores
2010-04-01
The present study examined the relationship between self-reported physical health, depressive symptoms, and the occurrence of depression diagnosis in Hispanic female dementia caregivers. Participants were 89 Hispanic female dementia caregivers. This study used a cross-sectional design. Baseline depression and physical health data were collected from participants enrolled in the 'Reducing Stress in Hispanic Anglo Dementia Caregivers' study sponsored by the National Institute on Aging. Physical health was assessed using the Medical Outcome Study Short Form-36 (SF-36), a one-item self-report health rating, body mass index, and the presence or history of self-reported physical illness. Depressive symptoms were assessed using the Center for Epidemiologic Studies-Depression Scale (CES-D). The occurrence of depression diagnosis was assessed using the Clinical Interview for DSM-IV Axis I Disorders (SCID). Multiple linear and logistic regression analysis was used to examine the extent to which indices of physical health and depressive symptoms accounted for variance in participants' depressive symptoms and depressive diagnoses. Self-reported indices of health (e.g., SF-36) accounted for a significant portion of variance in both CES-D scores and SCID diagnoses. Caregivers who reported worsened health tended to report increased symptoms of depression on the CES-D and increased likelihood of an SCID diagnosis of a depressive disorder. Self-reported health indices are helpful in identifying Hispanic dementia caregivers at risk for clinical levels of depression.
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Relationship between Physical Disability and Depression by Gender : A Panel Regression Model
Noh, Jin-Won; Kwon, Young Dae; Park, Jumin; Oh, In-Hwan; Kim, Jinseok
2016-01-01
Background Depression in persons with physical disabilities may be more common than in the general population. The purpose of this study was to examine the relationship between physical disability and depression by gender among adults, using a large, nationally representative sample. Methods This
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Background stratified Poisson regression analysis of cohort data.
Richardson, David B; Langholz, Bryan
2012-03-01
Background stratified Poisson regression is an approach that has been used in the analysis of data derived from a variety of epidemiologically important studies of radiation-exposed populations, including uranium miners, nuclear industry workers, and atomic bomb survivors. We describe a novel approach to fit Poisson regression models that adjust for a set of covariates through background stratification while directly estimating the radiation-disease association of primary interest. The approach makes use of an expression for the Poisson likelihood that treats the coefficients for stratum-specific indicator variables as 'nuisance' variables and avoids the need to explicitly estimate the coefficients for these stratum-specific parameters. Log-linear models, as well as other general relative rate models, are accommodated. This approach is illustrated using data from the Life Span Study of Japanese atomic bomb survivors and data from a study of underground uranium miners. The point estimate and confidence interval obtained from this 'conditional' regression approach are identical to the values obtained using unconditional Poisson regression with model terms for each background stratum. Moreover, it is shown that the proposed approach allows estimation of background stratified Poisson regression models of non-standard form, such as models that parameterize latency effects, as well as regression models in which the number of strata is large, thereby overcoming the limitations of previously available statistical software for fitting background stratified Poisson regression models.
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2012-01-01
Background Chronic depression represents a substantial portion of depressive disorders and is associated with severe consequences. This review examined whether the combination of pharmacological treatments and psychotherapy is associated with higher effectiveness than pharmacotherapy alone via meta-analysis; and identified possible treatment effect modifiers via meta-regression-analysis. Methods A systematic search was conducted in the following databases: Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE, ISI Web of Science, BIOSIS, PsycINFO, and CINAHL. Primary efficacy outcome was a response to treatment; primary acceptance outcome was dropping out of the study. Only randomized controlled trials were considered. Results We identified 8 studies with a total of 9 relevant comparisons. Our analysis revealed small, but statistically not significant effects of combined therapies on outcomes directly related to depression (BR = 1.20) with substantial heterogeneity between studies (I² = 67%). Three treatment effect modifiers were identified: target disorders, the type of psychotherapy and the type of pharmacotherapy. Small but statistically significant effects of combined therapies on quality of life (SMD = 0.18) were revealed. No differences in acceptance rates and the long-term effects between combined treatments and pure pharmacological interventions were observed. Conclusions This systematic review could not provide clear evidence for the combination of pharmacotherapy and psychotherapy. However, due to the small amount of primary studies further research is needed for a conclusive decision. PMID:22694751
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Psychotherapy for chronic major depression and dysthymia: A meta analysis
Cuijpers, P.; van Straten, A.; Schuurmans, J.; van Oppen, P.C.; Hollon, S.D.; Andersson, G.
2010-01-01
Although several studies have examined the effects of psychotherapy on chronic depression and dysthymia, no meta-analysis has been conducted to integrate results of these studies. We conducted a meta-analysis of 16 randomized trials examining the effects of psychotherapy on chronic depression and
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Psychotherapy for chronic major depression and dysthymia: A meta analysis.
Cuijpers, P.; van Straten, A.; Schuurmans, J.; van Oppen, P.C.; Hollon, S.D.; Andersson, G.
2009-01-01
Although several studies have examined the effects of psychotherapy on chronic depression and dysthymia, no meta-analysis has been conducted to integrate results of these studies. We conducted a meta-analysis of 16 randomized trials examining the effects of psychotherapy on chronic depression and
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Unhealthy lifestyle factors and depressive symptoms: A Japanese general adult population survey.
Furihata, Ryuji; Konno, Chisato; Suzuki, Masahiro; Takahashi, Sakae; Kaneita, Yoshitaka; Ohida, Takashi; Uchiyama, Makoto
2018-07-01
To investigate the relationship between unhealthy lifestyles factors and depressive symptoms among the general adult population in Japan. Participants were randomly selected from the Japanese general adult population. Data from 2334 people aged 20 years or older were analyzed. This cross-sectional survey was conducted in August and September 2009. Participants completed a face-to-face interview about unhealthy lifestyle factors, including lack of exercise, skipping breakfast, a poorly balanced diet, snacking between meals, insufficient sleep, current smoking, alcohol drinking, and obesity. Presence of depressive symptoms was defined as a score of ≥ 16 on the Japanese version of the Center for Epidemiologic Studies Depression Scale (CES-D). Relationships between unhealthy lifestyle factors and depressive symptoms were evaluated by multivariate logistic regression analysis adjusting for sociodemographic variables and other unhealthy lifestyle factors. Multivariate logistic regression analysis revealed that insufficient sleep, a poorly balanced diet, snacking between meals and lack of exercise were significantly associated with the prevalence of depressive symptoms, with odds ratios ranging from 1.56 for lack of exercise to 3.98 for insufficient sleep. Since this study was a cross-sectional study, causal relationships could not be determined. These results suggest that promoting a healthy lifestyle focused on sleep, food intake and exercise may be important for individuals with depressive symptoms. Copyright © 2018 Elsevier B.V. All rights reserved.
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Foong, Hui Foh; Hamid, Tengku Aizan; Ibrahim, Rahimah; Haron, Sharifah Azizah
2018-04-01
Research has found that depression in later life is associated with cognitive impairment. Thus, the mechanism to reduce the effect of depression on cognitive function is warranted. In this paper, we intend to examine whether intrinsic religiosity mediates the association between depression and cognitive function. The study included 2322 nationally representative community-dwelling elderly in Malaysia, randomly selected through a multi-stage proportional cluster random sampling from Peninsular Malaysia. The elderly were surveyed on socio-demographic information, cognitive function, depression and intrinsic religiosity. A four-step moderated hierarchical regression analysis was employed to test the moderating effect. Statistical analyses were performed using SPSS (version 15.0). Bivariate analyses showed that both depression and intrinsic religiosity had significant relationships with cognitive function. In addition, four-step moderated hierarchical regression analysis revealed that the intrinsic religiosity moderated the association between depression and cognitive function, after controlling for selected socio-demographic characteristics. Intrinsic religiosity might reduce the negative effect of depression on cognitive function. Professionals who are working with depressed older adults should seek ways to improve their intrinsic religiosity as one of the strategies to prevent cognitive impairment.
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Directory of Open Access Journals (Sweden)
Yang JR
2015-08-01
Full Text Available Jia-run Yang, Dong Han, Zheng-xue Qiao, Xue Tian, Dong Qi, Xiao-hui QiuDepartment of Medical Psychology, Public Health Institute of Harbin Medical University, Harbin, Heilongjiang Province, People’s Republic of ChinaObjectives: Previous randomized controlled trials (RCTs suggest that depression can be effectively treated by omega-3 polyunsaturated fatty acids (PUFAs. Therefore, we conducted this meta-analysis to systematically evaluate the clinical applicability of the combination of docosahexaenoic acid (DHA and eicosapentaenoic acid (EPA, which are the two major bioactive types of PUFAs, in depressed women.Methods: RCTs that compared the combination of DHA and EPA to placebo for short-course treatment of depression in women were systematically reviewed up to March 2015. Outcome measurement was the standardized difference in means in clinical measure of depression severity. Random effect model was performed. Meta-regression analysis was performed to assess the effects of baseline depression scores.Results: Data were obtained from eight RCTs. In these RCTs, 182 patients received placebo and 185 patients received DHA and EPA. The pooled standardized difference in mean was 0.65 with 95% CI = [0.18, 1.12]. There was no relation between the efficacy and the baseline depression scores. The sensitivity analysis found that the combination of EPA and DHA as monotherapy yielded a standardized difference in means of 0.65 (95% CI =0.41, 0.90 without heterogeneity.Discussion: These results indicate a beneficial effect of the combination of EPA and DHA on depressed mood in women compared with placebo. The clinical applicability of EPA and DHA showed greater promise and should be further explored.Keywords: depression, omega-3 polyunsaturated fatty acids, PUFAs, docosahexaenoic acid, DHA, eicosapentaenoic acid, EPA
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Poisson Regression Analysis of Illness and Injury Surveillance Data
Energy Technology Data Exchange (ETDEWEB)
Frome E.L., Watkins J.P., Ellis E.D.
2012-12-12
The Department of Energy (DOE) uses illness and injury surveillance to monitor morbidity and assess the overall health of the work force. Data collected from each participating site include health events and a roster file with demographic information. The source data files are maintained in a relational data base, and are used to obtain stratified tables of health event counts and person time at risk that serve as the starting point for Poisson regression analysis. The explanatory variables that define these tables are age, gender, occupational group, and time. Typical response variables of interest are the number of absences due to illness or injury, i.e., the response variable is a count. Poisson regression methods are used to describe the effect of the explanatory variables on the health event rates using a log-linear main effects model. Results of fitting the main effects model are summarized in a tabular and graphical form and interpretation of model parameters is provided. An analysis of deviance table is used to evaluate the importance of each of the explanatory variables on the event rate of interest and to determine if interaction terms should be considered in the analysis. Although Poisson regression methods are widely used in the analysis of count data, there are situations in which over-dispersion occurs. This could be due to lack-of-fit of the regression model, extra-Poisson variation, or both. A score test statistic and regression diagnostics are used to identify over-dispersion. A quasi-likelihood method of moments procedure is used to evaluate and adjust for extra-Poisson variation when necessary. Two examples are presented using respiratory disease absence rates at two DOE sites to illustrate the methods and interpretation of the results. In the first example the Poisson main effects model is adequate. In the second example the score test indicates considerable over-dispersion and a more detailed analysis attributes the over-dispersion to extra
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History of Depression in Lung Cancer Patients
DEFF Research Database (Denmark)
Iachina, M; Brønserud, M M; Jakobsen, E
2017-01-01
. To estimate the effect of depression on the diagnostic process and the choice of treatment in lung cancer we fitted a logistic regression model and a Cox regression model adjusting for age, gender, resection and stage. RESULTS: Depression in a patient's anamnesis had no significant effect on the delay...
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Tuohy, Alan; McVey, Cynthia
2008-06-01
There has been considerable research and clinical interest in the comorbidity of anxiety and depression in the post-partum period, and specifically in the possibility that the commonly used Edinburgh Postnatal Depression Scale (EPDS) incorporates an anxiety component. We hypothesized that the recommended version of factor analysis (Fabrigar, Wegener, MacCallum, & Strahan, 1999) would identify such covert dimensions more reliably than the commonly used principal components analysis with varimax rotation and eigenvalues greater than 1. Principal axis factor extraction with parallel analysis and oblique (direct quartimin) factor rotation was applied to the 10 EPDS items. The study used a sample of recent mothers recruited and assessed via e-mail and the Internet (N=440). In addition to the EPDS, the Hospital Anxiety and Depression Scale (HADS) and the Positive and Negative Affect Scales (PANAS) were also administered. Three factors were found, which were identified as 'non-specific depressive symptoms', 'anhedonia', and 'anxietal symptoms' subscales, respectively. These subscales were regressed on the HADS anxiety and depression and the PANAS positive and negative affectivity scales, with results substantially consistent with current structural models of the taxonomy of the emotional disorders. The data were obtained from a self-selected non-clinical sample. In addition, it is known that the use of computer-based assessment may tend to inflate self-report scores. It was concluded that there is now sufficient evidence that clinicians should not assume the EPDS to be unidimensional, but should assess all three subscales when screening for susceptibility to post-partum depression and/or post-partum anxiety.
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Lee, Kyung-Jae
2014-02-06
To examine the association between cigarette smoke exposure and depression among Korean adolescents using the seventh Korea Youth Risk Behavior Web-based Survey (KYRBWS). Cross-sectional study. A nationally representative sample of middle and high school students across South Korea. 75 643 eligible participants across the country. Current smoking, secondhand smoke exposure and depression. Data were analysed from a nationally representative survey of 75 643 participants (37 873 men and 37 770 women). Data were gathered on extensive information including current smoking, secondhand smoke exposure and depression in adolescence. Multiple logistic regression analysis was used to estimate the association between current smoking, secondhand smoke exposure and depression in Korean adolescents. Among those who had never smoked, secondhand smoke exposure was positively associated with depression in male and female adolescents in a dose-response relation (OR 1.27, OR 1.52 in males; OR 1.25, OR 1.72 in females). Similar associations were observed among currently smoking men and women in a dose-response manner (OR 1.29, OR 1.55 in males; OR 1.22, OR 1.41 in females). These significant trends were consistently observed even after adjustments. We suggested that current smoking and secondhand smoke exposure were positively associated with depression in male and female adolescents. Efforts to encourage no smoking and no secondhand smoke exposure will be established for adolescents.
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Directory of Open Access Journals (Sweden)
Ya-Ting Chang
2018-01-01
Full Text Available Purpose: In Parkinson’s disease with mild cognitive impairment (PD-MCI, we investigated the clinical significance of salience network (SN in depression and cognitive performance.Methods: Seventy seven PD-MCI patients that fulfilled multi-domain and non-amnestic subtype were included. Gray matter structural covariance networks were constructed by 3D T1-magnetic resonance imaging and seed based analysis. The patients were divided into two groups by psychiatric interviews and screening of Geriatric Depression Scale (GDS: PD-MCI with depression (PD-MCI-D or without depression (PD-MCI-ND. The seed or peak cluster volume, or the significant differences in the regression slopes in each seed-peak cluster correlation, were used to evaluate the significance with the neurobehavioral scores.Results: This study is the first to demonstrate that the PD-MCI-ND group presented a larger number of voxels of structural covariance in SN than the PD-MCI-D group. The right fronto-insular seed volumes and the peak cluster of left lingual gyrus showed significant inverse correlation with the Geriatric Depression Scale (GDS; r = -0.231, P = 0.046.Conclusions: This study is the first to validate the clinical significance of the SN in PD-MCI-D. The right insular seed value and the SN correlated with the severity of depression in PD-MCI.
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Chang, Ya-Ting; Lu, Cheng-Hsien; Wu, Ming-Kung; Hsu, Shih-Wei; Huang, Chi-Wei; Chang, Wen-Neng; Lien, Chia-Yi; Lee, Jun-Jun; Chang, Chiung-Chih
2018-01-01
Purpose: In Parkinson’s disease with mild cognitive impairment (PD-MCI), we investigated the clinical significance of salience network (SN) in depression and cognitive performance. Methods: Seventy seven PD-MCI patients that fulfilled multi-domain and non-amnestic subtype were included. Gray matter structural covariance networks were constructed by 3D T1-magnetic resonance imaging and seed based analysis. The patients were divided into two groups by psychiatric interviews and screening of Geriatric Depression Scale (GDS): PD-MCI with depression (PD-MCI-D) or without depression (PD-MCI-ND). The seed or peak cluster volume, or the significant differences in the regression slopes in each seed-peak cluster correlation, were used to evaluate the significance with the neurobehavioral scores. Results: This study is the first to demonstrate that the PD-MCI-ND group presented a larger number of voxels of structural covariance in SN than the PD-MCI-D group. The right fronto-insular seed volumes and the peak cluster of left lingual gyrus showed significant inverse correlation with the Geriatric Depression Scale (GDS; r = -0.231, P = 0.046). Conclusions: This study is the first to validate the clinical significance of the SN in PD-MCI-D. The right insular seed value and the SN correlated with the severity of depression in PD-MCI. PMID:29375361
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A Quality Assessment Tool for Non-Specialist Users of Regression Analysis
Argyrous, George
2015-01-01
This paper illustrates the use of a quality assessment tool for regression analysis. It is designed for non-specialist "consumers" of evidence, such as policy makers. The tool provides a series of questions such consumers of evidence can ask to interrogate regression analysis, and is illustrated with reference to a recent study published…
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Mother-Infant Attachment Style as a Predictor of Depression among Female Students
Directory of Open Access Journals (Sweden)
Rozita Amani
2017-01-01
Full Text Available Background and aim: There are an increasing number of studies showing an association of adult attachment styles to psychopathology. Therefore, the purpose of the present study was to investigate the relation between attachment style and depression among students of Bu-Ali Sina University in Iran. Methods: This descriptive correlational study was conducted on 157 girl students who were randomly selected. They were evaluated by demographic questionnaire, Adult Attachment Inventory (AAI (Hazan and Shaver, and theBeck Depression Inventory (BDI-II. The data was analysis by using Pearson correlation coefficient and regression analysis in SPSS 16 statistical package. Results: Findings indicated that secure attachment style had no significant correlation with depression and insecure attachment styles had a significant positive correlation with depression (p
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Wang, Yan-yu; Jiang, Neng-zhi; Cheung, Eric F C; Sun, Hong-wei; Chan, Raymond C K
2015-09-01
Hopelessness, depression and impulsivity all contribute to the development of suicidal ideation in patients with major depressive disorder, but the pathway of these factors to suicidal ideation is not clear. This study examined the meditating effect of depression severity on the relationship between hopelessness and suicidal ideation and explored how this mediating effect was moderated by impulsivity. A total of 162 patients with major depressive disorder (MDD) completed a structured clinical diagnostic interview and a battery of scales assessing depression severity, hopelessness, suicidal ideation, and impulsivity. Regression analyses with bootstrapping methods were used to examine the mediating and moderating effects of various risk factors. Mediation analysis revealed a significant indirect effect of hopelessness on suicidal ideation, and the effect was fully mediated through depression severity. On moderation analysis, the moderating effects of the relationship between depression severity and suicidal ideation were significant in both the medium and high impulsivity groups. The present study was limited by the assessment of trait impulsivity and observer-rated depression severity, which might not fully reflect momentary impulsivity and feeling of depression when suicidal ideation occurs. Depression severity plays a mediator role in the relationship between hopelessness and suicidal ideation and this mechanism is contingent on the levels of impulsivity. MDD patients with higher impulsivity appear to be more likely to have suicidal ideations even when they are less depressed. These findings highlight the importance of impulsivity assessment and alleviation of depressive symptoms to prevent suicidality in patients with MDD. Copyright © 2015 Elsevier B.V. All rights reserved.
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Background stratified Poisson regression analysis of cohort data
International Nuclear Information System (INIS)
Richardson, David B.; Langholz, Bryan
2012-01-01
Background stratified Poisson regression is an approach that has been used in the analysis of data derived from a variety of epidemiologically important studies of radiation-exposed populations, including uranium miners, nuclear industry workers, and atomic bomb survivors. We describe a novel approach to fit Poisson regression models that adjust for a set of covariates through background stratification while directly estimating the radiation-disease association of primary interest. The approach makes use of an expression for the Poisson likelihood that treats the coefficients for stratum-specific indicator variables as 'nuisance' variables and avoids the need to explicitly estimate the coefficients for these stratum-specific parameters. Log-linear models, as well as other general relative rate models, are accommodated. This approach is illustrated using data from the Life Span Study of Japanese atomic bomb survivors and data from a study of underground uranium miners. The point estimate and confidence interval obtained from this 'conditional' regression approach are identical to the values obtained using unconditional Poisson regression with model terms for each background stratum. Moreover, it is shown that the proposed approach allows estimation of background stratified Poisson regression models of non-standard form, such as models that parameterize latency effects, as well as regression models in which the number of strata is large, thereby overcoming the limitations of previously available statistical software for fitting background stratified Poisson regression models. (orig.)
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The prevalence of depressive symptoms in frontotemporal dementia: a meta-analysis.
Chakrabarty, Trisha; Sepehry, Amir A; Jacova, Claudia; Hsiung, Ging-Yuek Robin
2015-01-01
Depression is common in Alzheimer's and vascular dementia and is associated with poorer outcomes; however, less is known about the impact of depression on frontotemporal dementia (FTD). Here, we conducted a meta-analysis of diagnostic methods and the prevalence of depressive symptoms in FTD. PubMed, EMBASE and PsychINFO were queried for 'depression' and/or 'depressive mood' in behavioral- and language-variant FTD. The prevalence and diagnosis of depressive symptoms were extracted from relevant studies and the results pooled using a random-effects model. We included 29 studies in this meta-analysis, with sample sizes ranging from 3 to 73 (n = 870). The omnibus estimated event rate of depressed mood was 0.334 (33%; 95% CI: 0.268-0.407). Symptoms were most commonly assessed via standardized neuropsychiatric rating scales, with other methods including subjective caregiver reports and chart reviews. The study results were heterogeneous due to the variability in diagnostic methods. Depressive symptoms similar to those in other dementias are commonly detected in FTD. However, the diagnostic methods are heterogeneous, and symptoms of depression often overlap with manifestations of FTD. Having a standardized diagnostic approach to depression in FTD will greatly facilitate future research in this area.
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Understanding logistic regression analysis.
Sperandei, Sandro
2014-01-01
Logistic regression is used to obtain odds ratio in the presence of more than one explanatory variable. The procedure is quite similar to multiple linear regression, with the exception that the response variable is binomial. The result is the impact of each variable on the odds ratio of the observed event of interest. The main advantage is to avoid confounding effects by analyzing the association of all variables together. In this article, we explain the logistic regression procedure using examples to make it as simple as possible. After definition of the technique, the basic interpretation of the results is highlighted and then some special issues are discussed.
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A meta-analysis of electroconvulsive therapy efficacy in depression
Kho, King Han; van Vreeswijk, Michiel Floris; Simpson, Steve; Zwinderman, Aeilko H.
2003-01-01
Recently published controlled studies comparing electroconvulsive therapy (ECT) with other treatments for depression offer the opportunity to perform a meta-analysis of ECT in depression. Fifteen studies were identified which fulfilled the inclusion criteria. From these controlled trials, 20 effect
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Correlates of perceptions of elder’s suffering from depression
Directory of Open Access Journals (Sweden)
Michael N. Kane
2006-05-01
Full Text Available The study investigated social work students’ perceptions of elders as depressed and suffering (N= 156. Four predictor variables were identified from a standard regression analysis that account for 32% of the model’s adjusted variance: (a perceptions of elders as vulnerable, (b perceptions about elders as oppressed. Overall, respondents perceived elders as being depressed, vulnerable, members of an oppressed group, abusive of substances, and only moderately resilient in response to mental health services. Implications are discussed for social work education.
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Stubbs, B; Vancampfort, D; Veronese, N; Kahl, K G; Mitchell, A J; Lin, P-Y; Tseng, P-T; Mugisha, J; Solmi, M; Carvalho, A F; Koyanagi, A
2017-09-01
Despite the known heightened risk and burden of various somatic diseases in people with depression, very little is known about physical health multimorbidity (i.e. two or more physical health co-morbidities) in individuals with depression. This study explored physical health multimorbidity in people with clinical depression, subsyndromal depression and brief depressive episode across 43 low- and middle-income countries (LMICs). Cross-sectional, community-based data on 190 593 individuals from 43 LMICs recruited via the World Health Survey were analysed. Multivariable logistic regression analysis was done to assess the association between depression and physical multimorbidity. Overall, two, three and four or more physical health conditions were present in 7.4, 2.4 and 0.9% of non-depressive individuals compared with 17.7, 9.1 and 4.9% among people with any depressive episode, respectively. Compared with those with no depression, subsyndromal depression, brief depressive episode and depressive episode were significantly associated with 2.62, 2.14 and 3.44 times higher odds for multimorbidity, respectively. A significant positive association between multimorbidity and any depression was observed across 42 of the 43 countries, with particularly high odds ratios (ORs) in China (OR 8.84), Laos (OR 5.08), Ethiopia (OR 4.99), the Philippines (OR 4.81) and Malaysia (OR 4.58). The pooled OR for multimorbidity and depression estimated by meta-analysis across 43 countries was 3.26 (95% confident interval 2.98-3.57). Our large multinational study demonstrates that physical health multimorbidity is increased across the depression spectrum. Public health interventions are required to address this global health problem.
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Lateralization Pattern in Patients with Schizophrenia and Depression
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Dr. Rajneesh Gupta
2008-07-01
Full Text Available The objective of this study was to see the incidence of peripheral laterality in schizophrenics and depressed patients. A total of 147 male subjects (29 schizophrenics, 38 depressed, 80 non-patient controls were asked to indicate their preferences for hand, foot, eye, and ear on the Sidedness Bias Schedule. The correlations among the laterality quotients (LQ in all the three groups were positive and highly significant except the foot-eye correlation in the non-patient controls. The left and mixed-handed schizophrenics and depressed subjects exhibited extreme left and mixed preference for foot, eye, and ear, respectively. Hand and ear preferences emerged as the predictors of schizophrenia and depression in the logistic regression analysis. The findings indicate a possible relationship between psychopathology and extreme left-mixed dominance.
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Impact of Living Alone on Depressive Symptoms in Older Korean Widows
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Gyeong-Suk Jeon
2017-10-01
Full Text Available We examined the relationship between living alone and the prevalence of depressive symptoms in older Korean widows and assessed the individual contributions of health, social ties, and socioeconomic factors to the development of depressive symptoms. The study was a secondary analysis using data from widows, 65 years of age and older, who participated in the Living Profiles of Older People Survey (LPOPS. A logistic regression analysis was used to evaluate the contributions of health, social ties, and socioeconomic factors to the development of depressive symptoms. Working status and equivalent household income were significantly associated with depressive symptoms in both those living with others and those living alone. Adjustment for health status and social ties did not change the impact of living alone on the prevalence of depressive symptoms. However, adjustment for equivalent household income eliminated the negative association between living alone and depressive symptoms. Our findings indicate that economic resources are more important than health and social ties for alleviating the negative impact of living alone on the development of depressive symptoms in older widows.
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Retro-regression--another important multivariate regression improvement.
Randić, M
2001-01-01
We review the serious problem associated with instabilities of the coefficients of regression equations, referred to as the MRA (multivariate regression analysis) "nightmare of the first kind". This is manifested when in a stepwise regression a descriptor is included or excluded from a regression. The consequence is an unpredictable change of the coefficients of the descriptors that remain in the regression equation. We follow with consideration of an even more serious problem, referred to as the MRA "nightmare of the second kind", arising when optimal descriptors are selected from a large pool of descriptors. This process typically causes at different steps of the stepwise regression a replacement of several previously used descriptors by new ones. We describe a procedure that resolves these difficulties. The approach is illustrated on boiling points of nonanes which are considered (1) by using an ordered connectivity basis; (2) by using an ordering resulting from application of greedy algorithm; and (3) by using an ordering derived from an exhaustive search for optimal descriptors. A novel variant of multiple regression analysis, called retro-regression (RR), is outlined showing how it resolves the ambiguities associated with both "nightmares" of the first and the second kind of MRA.
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Mood instability as a precursor to depressive illness: A prospective and mediational analysis.
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.
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Self-transcendence and depression in middle-age adults.
Ellermann, C R; Reed, P G
2001-11-01
Self-transcendence has been found to be an important correlate of mental health in older adults and adults facing the end of life. This study extends current theory by examining the relationship of transcendence and other transcendence variables to depression in middle-age adults (N = 133). Reed's Self-Transcendence Scale, the Center for Epidemiological Studies-Depression Scale, and measures of parenting, acceptance and spirituality were administered. Findings indicating significant inverse correlations between self-transcendence and depression, as well as between other measures of transcendence and depression support Reed's (1991b) theory. Multiple regression analysis indicated that acceptance may be another significant correlate of depression. Significant gender differences and age-related patterns of increased levels of self-transcendence were found. Study results illuminate the need to continue research into developmentally based transcendence variables related to various experiences of health and well-being across the life span.
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Persuading people with depression to seek help: respect the boomerang.
Lienemann, Brianna A; Siegel, Jason T; Crano, William D
2013-01-01
People with depression are likely to process information with a negative bias when confronted with self-relevant information. Accordingly, we feared exposing depressed people to a public service announcement (PSA) addressing the stigma of depression would possibly boomerang and result in less intention to seek help and in increased self-stigma. College students (N = 271; Mage = 22.51, SD = 4.71; 63.1% female; 37.3% White, 31.9% Hispanic, 12.9% Asian, 6.8% multiethnic, 3.4% Black, 7.6% other) were randomly assigned to receive a print ad focused on depression or a nonrelevant comparison ad. A paper-and-pencil survey consisting of the Beck Depression Inventory-II, Self-Stigma of Seeking Help scale, help-seeking intentions, and demographics followed. Regression analysis indicated that viewing a depression ad caused people with greater depressive symptoms to experience greater levels of self-stigma than depressed people exposed to a nonrelevant comparison ad. Bootstrap mediation analysis showed that for individuals who viewed a depression PSA, self-stigma mediated the relationship between depressive symptoms and professional help-seeking intentions. While this current study offers no direct evidence in regard to the utility of current and past depression campaigns, results indicate a definite need for caution when developing materials targeting people with depression to seek help.
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Linear regression analysis: part 14 of a series on evaluation of scientific publications.
Schneider, Astrid; Hommel, Gerhard; Blettner, Maria
2010-11-01
Regression analysis is an important statistical method for the analysis of medical data. It enables the identification and characterization of relationships among multiple factors. It also enables the identification of prognostically relevant risk factors and the calculation of risk scores for individual prognostication. This article is based on selected textbooks of statistics, a selective review of the literature, and our own experience. After a brief introduction of the uni- and multivariable regression models, illustrative examples are given to explain what the important considerations are before a regression analysis is performed, and how the results should be interpreted. The reader should then be able to judge whether the method has been used correctly and interpret the results appropriately. The performance and interpretation of linear regression analysis are subject to a variety of pitfalls, which are discussed here in detail. The reader is made aware of common errors of interpretation through practical examples. Both the opportunities for applying linear regression analysis and its limitations are presented.
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Litwin, Howard
2012-01-01
To clarify whether physical activity among older Americans is associated with depressive symptoms, beyond the effects of social network type, physical health, and sociodemographic characteristics. The analysis used data from a sub-sample, aged 65–85, from the National Social Life, Health and Aging Project (N=1349). Hierarchical regressions examined the respective effects of selected network types and extent of engagement in physical activity on depressive symptoms, controlling for physical health and sociodemographic background. The findings showed that physical activity was correlated inversely with late life depressive symptoms. However, when interaction terms for the selected social network types and the extent of physical activity were also considered, the main effect of social network on depressive symptoms increased, while that of physical activity was eliminated. The results show that older American adults embedded in family network types are at risk of limited physical activity. However, interventions aimed to increase their engagement in physical activity might help to reduce depressive symptoms within this group.
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Kim, Ji Young; Lee, Kyunghee
2015-10-01
The purpose of this study was to examine the moderating mediation effect of self-esteem on the relations among adolescents' abuse experiences, depression and anxiety, and suicidal ideation. The participants were selected using secondary data from a population in the 2012 Korea Welfare Panel Survey (KOWEPS). Data were analyzed using SPSS 15.0 and SPSS Macro, and bootstrapping and hierarchical regression analysis were performed to analyze multilevel models. First, analysis of the mediating effect of the adolescents' abuse showed that there was significant mediating influence between suicidal ideation and depression and anxiety. Second, hierarchical regression analysis showed that self-esteem had significant mediation effect on depression and anxiety in adolescents' suicidal ideation. Third, SPSS Macro showed that self-esteem also significantly moderated the mediating effect of adolescents' abuse experiences on suicidal ideation through depression and anxiety. The study results suggest that in future research on adolescent's abuse experience, the risk of suicide in depression and anxiety scores should be selected through evaluation of each individual's self-esteem scale. Coping strategies with immediate early intervention should be suggested.
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Management of Industrial Performance Indicators: Regression Analysis and Simulation
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Walter Roberto Hernandez Vergara
2017-11-01
Full Text Available Stochastic methods can be used in problem solving and explanation of natural phenomena through the application of statistical procedures. The article aims to associate the regression analysis and systems simulation, in order to facilitate the practical understanding of data analysis. The algorithms were developed in Microsoft Office Excel software, using statistical techniques such as regression theory, ANOVA and Cholesky Factorization, which made it possible to create models of single and multiple systems with up to five independent variables. For the analysis of these models, the Monte Carlo simulation and analysis of industrial performance indicators were used, resulting in numerical indices that aim to improve the goals’ management for compliance indicators, by identifying systems’ instability, correlation and anomalies. The analytical models presented in the survey indicated satisfactory results with numerous possibilities for industrial and academic applications, as well as the potential for deployment in new analytical techniques.
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Hecht, Jeffrey B.
The analysis of regression residuals and detection of outliers are discussed, with emphasis on determining how deviant an individual data point must be to be considered an outlier and the impact that multiple suspected outlier data points have on the process of outlier determination and treatment. Only bivariate (one dependent and one independent)…
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The Bipolar II Depression Questionnaire: A Self-Report Tool for Detecting Bipolar II Depression.
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Chi Ming Leung
Full Text Available Bipolar II (BP-II depression is often misdiagnosed as unipolar (UP depression, resulting in suboptimal treatment. Tools for differentiating between these two types of depression are lacking. This study aimed to develop a simple, self-report screening instrument to help distinguish BP-II depression from UP depressive disorder. A prototype BP-II depression questionnaire (BPIIDQ-P was constructed following a literature review, panel discussions and a field trial. Consecutively assessed patients with a diagnosis of depressive disorder or BP with depressive episodes completed the BPIIDQ-P at a psychiatric outpatient clinic in Hong Kong between October and December 2013. Data were analyzed using discriminant analysis and logistic regression. Of the 298 subjects recruited, 65 (21.8% were males and 233 (78.2% females. There were 112 (37.6% subjects with BP depression [BP-I = 42 (14.1%, BP-II = 70 (23.5%] and 182 (62.4% with UP depression. Based on family history, age at onset, postpartum depression, episodic course, attacks of anxiety, hypersomnia, social phobia and agoraphobia, the 8-item BPIIDQ-8 was constructed. The BPIIDQ-8 differentiated subjects with BP-II from those with UP depression with a sensitivity/specificity of 0.75/0.63 for the whole sample and 0.77/0.72 for a female subgroup with a history of childbirth. The BPIIDQ-8 can differentiate BP-II from UP depression at the secondary care level with satisfactory to good reliability and validity. It has good potential as a screening tool for BP-II depression in primary care settings. Recall bias, the relatively small sample size, and the high proportion of females in the BP-II sample limit the generalization of the results.
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Association between toll-like receptors expression and major depressive disorder.
Hung, Yi-Yung; Kang, Hong-Yo; Huang, Kai-Wei; Huang, Tiao-Lai
2014-12-15
Accumulating evidences suggest that Toll-like receptors (TLRs) were involved in the pathophysiology of major depressive disorder. TLR4 was thought to be associated with major depressive disorder in animal model, but the others were still unknown. In order to examine TLR1-9 mRNA expression levels in peripheral blood and their relationships with the psychopathology of major depressive disorder, 30 patients with major depressive disorder were compared with 29 healthy controls. The 17-item Hamilton Depression Rating Scale (HAMD-17) was used to assess the severity of major depression. The mRNA expression levels of TLRs were examined in parallel with a housekeeping gene using real-time polymerase chain reaction (RT-PCR). Analysis of covariance with age and body mass index adjustment revealed a significantly higher expression of TLR3, 4, 5 and 7 mRNA but lower expression of TLR1 and 6 in patients with major depressive disorder as compared with healthy controls. Multiple linear regression analysis revealed that TLR4 was an independent risk factor relating to severity of major depression. These findings suggest that TLRs, especially TLR4, may be involved in the psychopathology of major depression. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.
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Directory of Open Access Journals (Sweden)
Johan Håkon Bjørngaard
Full Text Available While high body mass index is associated with an increased risk of depression and anxiety, cumulative evidence indicates that it is a protective factor for suicide. The associations from conventional observational studies of body mass index with mental health outcomes are likely to be influenced by reverse causality or confounding by ill-health. In the present study, we investigated the associations between offspring body mass index and parental anxiety, depression and suicide in order to avoid problems with reverse causality and confounding by ill-health.We used data from 32,457 mother-offspring and 27,753 father-offspring pairs from the Norwegian HUNT-study. Anxiety and depression were assessed using the Hospital Anxiety and Depression Scale and suicide death from national registers. Associations between offspring and own body mass index and symptoms of anxiety and depression and suicide mortality were estimated using logistic and Cox regression. Causal effect estimates were estimated with a two sample instrument variable approach using offspring body mass index as an instrument for parental body mass index.Both own and offspring body mass index were positively associated with depression, while the results did not indicate any substantial association between body mass index and anxiety. Although precision was low, suicide mortality was inversely associated with own body mass index and the results from the analysis using offspring body mass index supported these results. Adjusted odds ratios per standard deviation body mass index from the instrumental variable analysis were 1.22 (95% CI: 1.05, 1.43 for depression, 1.10 (95% CI: 0.95, 1.27 for anxiety, and the instrumental variable estimated hazard ratios for suicide was 0.69 (95% CI: 0.30, 1.63.The present study's results indicate that suicide mortality is inversely associated with body mass index. We also found support for a positive association between body mass index and depression, but not
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Predicting Dropouts of University Freshmen: A Logit Regression Analysis.
Lam, Y. L. Jack
1984-01-01
Stepwise discriminant analysis coupled with logit regression analysis of freshmen data from Brandon University (Manitoba) indicated that six tested variables drawn from research on university dropouts were useful in predicting attrition: student status, residence, financial sources, distance from home town, goal fulfillment, and satisfaction with…
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Simulation Experiments in Practice : Statistical Design and Regression Analysis
Kleijnen, J.P.C.
2007-01-01
In practice, simulation analysts often change only one factor at a time, and use graphical analysis of the resulting Input/Output (I/O) data. Statistical theory proves that more information is obtained when applying Design Of Experiments (DOE) and linear regression analysis. Unfortunately, classic
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Detrended fluctuation analysis for major depressive disorder.
Mumtaz, Wajid; Malik, Aamir Saeed; Ali, Syed Saad Azhar; Yasin, Mohd Azhar Mohd; Amin, Hafeezullah
2015-01-01
Clinical utility of Electroencephalography (EEG) based diagnostic studies is less clear for major depressive disorder (MDD). In this paper, a novel machine learning (ML) scheme was presented to discriminate the MDD patients and healthy controls. The proposed method inherently involved feature extraction, selection, classification and validation. The EEG data acquisition involved eyes closed (EC) and eyes open (EO) conditions. At feature extraction stage, the de-trended fluctuation analysis (DFA) was performed, based on the EEG data, to achieve scaling exponents. The DFA was performed to analyzes the presence or absence of long-range temporal correlations (LRTC) in the recorded EEG data. The scaling exponents were used as input features to our proposed system. At feature selection stage, 3 different techniques were used for comparison purposes. Logistic regression (LR) classifier was employed. The method was validated by a 10-fold cross-validation. As results, we have observed that the effect of 3 different reference montages on the computed features. The proposed method employed 3 different types of feature selection techniques for comparison purposes as well. The results show that the DFA analysis performed better in LE data compared with the IR and AR data. In addition, during Wilcoxon ranking, the AR performed better than LE and IR. Based on the results, it was concluded that the DFA provided useful information to discriminate the MDD patients and with further validation can be employed in clinics for diagnosis of MDD.
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Depression in older Chinese migrants to Auckland.
Abbott, Max W; Wong, Sai; Giles, Lynne C; Wong, Sue; Young, Wilson; Au, Ming
2003-08-01
This study was conducted to identify risk factors for depressive symptomatology among older Chinese migrants. One hundred and sixty-two Chinese migrants aged 55 years or older, living in the community and recruited via Chinese community organizations and general practitioners, were interviewed using a Chinese version of the Geriatric Depression Scale and measures of stressful life events, morbid conditions, self-rated health, acculturation, social support and service utilization. Twenty-six percent of participants met the criteria for depressive symptomatology. No recent migrants showed symptoms of depression. Multiple logistic regression analysis showed that lower emotional support, greater number of visits to a doctor, difficulties in accessing health services and low New Zealand cultural orientation increased the risk of showing symptoms of depression. Significant numbers of older Chinese migrants appear to be depressed or at risk for depression and, while participants with depressive symptoms consulted general practitioners more than their counterparts without such symptoms, they reported greater difficulty in accessing health services. The findings point to the need for further epidemiological study of this growing sector of the population and investigation of the nature of its engagement with health services. Social support and aspects of acculturation may play a significant role in preventing depression. This also requires further investigation.
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CHEN, Qing; DU, Wenyong; GAO, Yan; MA, Changlin; BAN, Chunxia; MENG, Fu
2017-01-01
Background Drug therapy combined with family therapy is currently the best treatment for adolescent depression. Nevertheless, family therapy requires an exploration of unresolved problems in the family system, which in practice presents certain difficulties. Previous studies have found that the perceptual differences of family function between parents and children reflect the problems in the family system. Aims To explore the characteristics and role of family functioning and parent-child relationship between adolescents with depressive disorder and their parents. Methods The general information and clinical data of the 93 adolescents with depression were collected. The Family Functioning Assessment Scale and Parent-child Relationship Scale were used to assess adolescents with depressive disorder and their parents. Results a) The dimensions of family functioning in adolescents with depressive disorder were more negative in communication, emotional response, emotional involvement, roles, and overall functioning than their parents. The differences were statistically significant. Parent-child relationship dimensions: the closeness and parent-child total scores were more negative compared with the parents and the differences were statistically significant. b) All dimensions of parent-child relationship and family functioning in adolescents with depression except the time spent together were negatively correlated or significantly negatively correlated. c) The results of multivariate regression analysis showed: the characteristics of family functioning, emotional involvement, emotional response, family structure, and income of the adolescents with depressive disorder mainly affected the parent-child relationship. Conclusions There were perceptual differences in partial family functioning and parent-child relationship between adolescents with depressive disorder and their parents. Unclear roles between family members, mutual entanglement, too much or too little emotional
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Quality of life in breast cancer patients--a quantile regression analysis.
Pourhoseingholi, Mohamad Amin; Safaee, Azadeh; Moghimi-Dehkordi, Bijan; Zeighami, Bahram; Faghihzadeh, Soghrat; Tabatabaee, Hamid Reza; Pourhoseingholi, Asma
2008-01-01
Quality of life study has an important role in health care especially in chronic diseases, in clinical judgment and in medical resources supplying. Statistical tools like linear regression are widely used to assess the predictors of quality of life. But when the response is not normal the results are misleading. The aim of this study is to determine the predictors of quality of life in breast cancer patients, using quantile regression model and compare to linear regression. A cross-sectional study conducted on 119 breast cancer patients that admitted and treated in chemotherapy ward of Namazi hospital in Shiraz. We used QLQ-C30 questionnaire to assessment quality of life in these patients. A quantile regression was employed to assess the assocciated factors and the results were compared to linear regression. All analysis carried out using SAS. The mean score for the global health status for breast cancer patients was 64.92+/-11.42. Linear regression showed that only grade of tumor, occupational status, menopausal status, financial difficulties and dyspnea were statistically significant. In spite of linear regression, financial difficulties were not significant in quantile regression analysis and dyspnea was only significant for first quartile. Also emotion functioning and duration of disease statistically predicted the QOL score in the third quartile. The results have demonstrated that using quantile regression leads to better interpretation and richer inference about predictors of the breast cancer patient quality of life.
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Temperament, Character, and Depressive Symptoms during Pregnancy: A Study of a Japanese Population
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Mariko Minatani
2013-01-01
Full Text Available Background. To examine the effects of temperament and character domains on depression during pregnancy. Methods. We examined 601 pregnant women using a questionnaire that included the Edinburgh Postnatal Depression Scale (EPDS, the Temperament and Character Inventory (TCI, and demographic variables. Results. In a hierarchical regression analysis, severity of depression during pregnancy was predicted by the women’s negative response towards the current pregnancy, low self-directedness, and high harm avoidance, persistence, and self-transcendence. Conclusion. Depression during pregnancy is predicted by personality traits as well as women’s negative attitudes towards the current pregnancy.
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Depression and oxidative stress: results from a meta-analysis of observational studies.
Palta, Priya; Samuel, Laura J; Miller, Edgar R; Szanton, Sarah L
2014-01-01
To perform a systematic review and meta-analysis that quantitatively tests and summarizes the hypothesis that depression results in elevated oxidative stress and lower antioxidant levels. We performed a meta-analysis of studies that reported an association between depression and oxidative stress and/or antioxidant status markers. PubMed and EMBASE databases were searched for articles published from January 1980 through December 2012. A random-effects model, weighted by inverse variance, was performed to pool standard deviation (Cohen's d) effect size estimates across studies for oxidative stress and antioxidant status measures, separately. Twenty-three studies with 4980 participants were included in the meta-analysis. Depression was most commonly measured using the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria. A Cohen's d effect size of 0.55 (95% confidence interval = 0.47-0.63) was found for the association between depression and oxidative stress, indicating a roughly 0.55 of 1-standard-deviation increase in oxidative stress among individuals with depression compared with those without depression. The results of the studies displayed significant heterogeneity (I(2) = 80.0%, p < .001). A statistically significant effect was also observed for the association between depression and antioxidant status markers (Cohen's d = -0.24, 95% confidence interval = -0.33 to -0.15). This meta-analysis observed an association between depression and oxidative stress and antioxidant status across many different studies. Differences in measures of depression and markers of oxidative stress and antioxidant status markers could account for the observed heterogeneity. These findings suggest that well-established associations between depression and poor heath outcomes may be mediated by high oxidative stress.
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Ketamine administration in depressive disorders: a systematic review and meta-analysis.
Fond, Guillaume; Loundou, Anderson; Rabu, Corentin; Macgregor, Alexandra; Lançon, Christophe; Brittner, Marie; Micoulaud-Franchi, Jean-Arthur; Richieri, Raphaelle; Courtet, Philippe; Abbar, Mocrane; Roger, Matthieu; Leboyer, Marion; Boyer, Laurent
2014-09-01
Ketamine's efficacy in depressive disorders has been established in several controlled trials. The aim of the present study was to determine whether or not ketamine administration significantly improves depressive symptomatology in depression and more specifically in major depressive disorder (MDD), bipolar depression, resistant depression (non-ECT studies), and as an anesthetic agent in electroconvulsive therapy (ECT) for resistant depression (ECT studies). Secondary outcomes were the duration of ketamine's effect, the efficacy on suicidal ideations, the existence of a dose effect, and the safety/tolerance of the treatment. Studies were included if they met the following criteria (without any language or date restriction): design: randomized controlled trials, intervention: ketamine administration, participants: diagnosis of depression, and evaluation of severity based on a validated scale. We calculated standardized mean differences (SMDs) with 95 % confidence intervals (CIs) for each study. We used fixed and random effects models. Heterogeneity was assessed using the I2 statistic. We included nine non-ECT studies in our quantitative analysis (192 patients with major depressive disorder and 34 patients with bipolar depression). Overall, depression scores were significantly decreased in the ketamine groups compared to those in the control groups (SMD = -0.99; 95 % CI -1.23, -0.75; p depression (SMD = -1.34; 95 % CI -1.94, -0.75), and in drug-free patients as well as patients under medication. Four ECT trials (118 patients) were included in our quantitative analysis. One hundred and three patients were diagnosed with major depressive disorder and 15 with bipolar depression. Overall, depression scores were significantly improved in the 58 patients receiving ketamine in ECT anesthesia induction compared to the 60 patients (SMD = -0.56; 95 % CI -1.10, -0.02; p = 0.04; I2 = 52.4 %). The duration of ketamine's effects was assessed in only two non
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Sexual Identity Mobility and Depressive Symptoms: A Longitudinal Analysis of Sexual Minority Women
Everett, Bethany; Talley, Amelia; Hughes, Tonda; Wilsnack, Sharon; Johnson, Timothy P.
2016-01-01
Sexual minority identity (bisexual, lesbian) is a known risk factor for depression in women. This study examines a facet of minority stress prevalent among women—sexual identity mobility—as an identity-related contributor to higher levels of depressive symptoms. We used three waves of data from the Chicago Health and Life Experiences of Women (CHLEW) study, a longitudinal study of sexual minority women (N = 306). Random effects OLS regression models were constructed to examine the effect of sexual-identity changes on depressive symptoms. We found that 25.6% of the sample reported a sexual-identity change between Wave I and Wave II, and 24.91% reported a sexual identity change between Waves II and III. Women who reported a change in sexual identity also reported more depressive symptoms subsequent to identity change. This effect was moderated by the number of years participants’ had reported their baseline identity and by whether the participant had initiated a romantic relationship with a male partner. PMID:27255306
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Schuster, Alexander K; Tesarz, Jonas; Rezapour, Jasmin; Beutel, Manfred E; Bertram, Bernd; Pfeiffer, Norbert
2018-01-01
Visual impairment (VI) is associated with a variety of comorbidities including physical and mental health in industrial countries. Our aim is to examine associations between self-reported impairment and depressive symptoms in the German population. The point prevalence of self-reported VI in Germany was computed using data from the German Health Interview and Examination Survey for adults from 2008 to 2011 ( N = 7.783, 50.5% female, age range 18-79 years). VI was surveyed by two questions, one for seeing faces at a distance of 4 m and one for reading newspapers. Depressive symptoms were evaluated with the Patient Health Questionnaire-9 questionnaire and 2-week prevalence was computed with weighted data. Depressive symptoms were defined by a value of ≥10. Logistic regression analysis was performed to analyze an association between self-reported VI and depressive symptoms. Multivariable analysis including adjustment for age, gender, socioeconomic status, and chronic diseases were carried out with weighted data. The 2-week prevalence of depressive symptoms was 20.8% (95% CI: 16.6-25.7%) for some difficulties in distance vision and 14.4% (95% CI: 7.5-25.9%) for severe difficulties in distance vision, while 17.0% (95% CI: 13.3-21.4%), respectively, 16.7% (95% CI: 10.7-25.1%) for near vision. Analysis revealed that depressive symptoms were associated with self-reported VI for reading, respectively, with low VI for distance vision. Multivariable regression analysis including potential confounders confirmed these findings. Depressive symptoms are a frequent finding in subjects with difficulties in distance and near vision with a prevalence of up to 24%. Depressive comorbidity should therefore be evaluated in subjects reporting VI.
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Francis, Jenny; Presser, Liandra; Malbon, Katherine; Braun-Courville, Debra; Linares, Lourdes Oriana
2015-04-01
We examine the association between depressive symptoms and contraceptive method choice among adolescents initiating prescription contraception. This cross-sectional study analyzes baseline data of 220 urban, minority adolescent females (ages 15-19 years) presenting for prescription contraceptive initiation at a comprehensive, free-of-cost, adolescent health center in New York City. All participants met with a health care provider who provided standard contraception counseling before initiating contraception. Each participant then selected a short- or long-acting contraceptive: a 3-month supply of the pill, patch, ring or a medroxyprogesterone acetate depot injection (short-acting), or placement/referral for an intrauterine device (IUD; long-acting). We assess the independent association between contraceptive method selection and symptoms of depression [assessed by the Center for Epidemiological Studies - Depression (CES-D) scale]. Ten percent (n=21/220) of adolescent females selected an IUD. Bivariate analysis revealed that those with elevated levels of depressive symptoms were more likely to select an IUD as compared to those with minimal symptoms (mean CES-D score 20 vs. 13; t=3.052, p=.003). In multivariate logistic regressions, adolescent females had increased odds of selecting an IUD if they reported moderate to severe depressive symptoms (adjusted odds ratio=4.93; confidence interval, 1.53-15.83; p=.007) after controlling for ethnicity/race, education, number of lifetime partners and gravidity. Inner-city, minority adolescents with elevated symptoms of depression who present for prescription contraceptive initiation may be more likely to select an IUD rather than shorter-acting methods. By recognizing adolescent females with depressive symptoms, providers can strategize their approach to effective contraception counseling. Copyright © 2015 Elsevier Inc. All rights reserved.
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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.
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Kim, Harris Hyun-Soo; Ahn, Sun Joo Grace
2016-10-01
The main objective of our study is to assess the relationship between playing online video games and mental wellbeing of adolescents based on a nationally representative sample. Data come from the Korean Children and Youth Panel Survey (KCYPS), a government-funded multiyear research project. Through a secondary analysis of W2 and W3 of data collected in 2011 and 2012, we examine the extent to which time spent playing online games is related to depression, as measured by a battery of items modeled after the abridged version of Center for Epidemiologic Studies Depression Scale Revised (CESD-R). For proper temporal ordering, the outcome variable is drawn from the latter wave (W3), whereas all time-lagged covariates are taken from the earlier wave (W2). Multilevel regression models show that more game playing is associated with greater depression. Findings also indicate that, net of individual-level variables (e.g., gender, health, family background), living in a community with more divorced families adds to adolescent depression. Finally, a cross-level interaction is observed: the positive association between game playing and depression is more pronounced in an area characterized by a lower aggregate divorce rate.
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Pessimism, Trauma, Risky Sex: Covariates of Depression in College Students
Swanholm, Eric; Vosvick, Mark; Chng, Chwee-Lye
2009-01-01
Objective: To explain variance in depression in students (N = 648) using a model incorporating sexual trauma, pessimism, and risky sex. Method: Survey data collected from undergraduate students receiving credit for participation. Results: Controlling for demographics, a hierarchical linear regression analysis [Adjusted R[superscript 2] = 0.34,…
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Zarb, Francis; McEntee, Mark F; Rainford, Louise
2015-06-01
To evaluate visual grading characteristics (VGC) and ordinal regression analysis during head CT optimisation as a potential alternative to visual grading assessment (VGA), traditionally employed to score anatomical visualisation. Patient images (n = 66) were obtained using current and optimised imaging protocols from two CT suites: a 16-slice scanner at the national Maltese centre for trauma and a 64-slice scanner in a private centre. Local resident radiologists (n = 6) performed VGA followed by VGC and ordinal regression analysis. VGC alone indicated that optimised protocols had similar image quality as current protocols. Ordinal logistic regression analysis provided an in-depth evaluation, criterion by criterion allowing the selective implementation of the protocols. The local radiology review panel supported the implementation of optimised protocols for brain CT examinations (including trauma) in one centre, achieving radiation dose reductions ranging from 24 % to 36 %. In the second centre a 29 % reduction in radiation dose was achieved for follow-up cases. The combined use of VGC and ordinal logistic regression analysis led to clinical decisions being taken on the implementation of the optimised protocols. This improved method of image quality analysis provided the evidence to support imaging protocol optimisation, resulting in significant radiation dose savings. • There is need for scientifically based image quality evaluation during CT optimisation. • VGC and ordinal regression analysis in combination led to better informed clinical decisions. • VGC and ordinal regression analysis led to dose reductions without compromising diagnostic efficacy.
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Regression analysis of radiological parameters in nuclear power plants
International Nuclear Information System (INIS)
Bhargava, Pradeep; Verma, R.K.; Joshi, M.L.
2003-01-01
Indian Pressurized Heavy Water Reactors (PHWRs) have now attained maturity in their operations. Indian PHWR operation started in the year 1972. At present there are 12 operating PHWRs collectively producing nearly 2400 MWe. Sufficient radiological data are available for analysis to draw inferences which may be utilised for better understanding of radiological parameters influencing the collective internal dose. Tritium is the main contributor to the occupational internal dose originating in PHWRs. An attempt has been made to establish the relationship between radiological parameters, which may be useful to draw inferences about the internal dose. Regression analysis have been done to find out the relationship, if it exist, among the following variables: A. Specific tritium activity of heavy water (Moderator and PHT) and tritium concentration in air at various work locations. B. Internal collective occupational dose and tritium release to environment through air route. C. Specific tritium activity of heavy water (Moderator and PHT) and collective internal occupational dose. For this purpose multivariate regression analysis has been carried out. D. Tritium concentration in air at various work location and tritium release to environment through air route. For this purpose multivariate regression analysis has been carried out. This analysis reveals that collective internal dose has got very good correlation with the tritium activity release to the environment through air route. Whereas no correlation has been found between specific tritium activity in the heavy water systems and collective internal occupational dose. The good correlation has been found in case D and F test reveals that it is not by chance. (author)
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Dipnall, Joanna F; Pasco, Julie A; Berk, Michael; Williams, Lana J; Dodd, Seetal; Jacka, Felice N; Meyer, Denny
2016-01-01
Atheoretical large-scale data mining techniques using machine learning algorithms have promise in the analysis of large epidemiological datasets. This study illustrates the use of a hybrid methodology for variable selection that took account of missing data and complex survey design to identify key biomarkers associated with depression from a large epidemiological study. The study used a three-step methodology amalgamating multiple imputation, a machine learning boosted regression algorithm and logistic regression, to identify key biomarkers associated with depression in the National Health and Nutrition Examination Study (2009-2010). Depression was measured using the Patient Health Questionnaire-9 and 67 biomarkers were analysed. Covariates in this study included gender, age, race, smoking, food security, Poverty Income Ratio, Body Mass Index, physical activity, alcohol use, medical conditions and medications. The final imputed weighted multiple logistic regression model included possible confounders and moderators. After the creation of 20 imputation data sets from multiple chained regression sequences, machine learning boosted regression initially identified 21 biomarkers associated with depression. Using traditional logistic regression methods, including controlling for possible confounders and moderators, a final set of three biomarkers were selected. The final three biomarkers from the novel hybrid variable selection methodology were red cell distribution width (OR 1.15; 95% CI 1.01, 1.30), serum glucose (OR 1.01; 95% CI 1.00, 1.01) and total bilirubin (OR 0.12; 95% CI 0.05, 0.28). Significant interactions were found between total bilirubin with Mexican American/Hispanic group (p = 0.016), and current smokers (pmachine learning algorithm with traditional statistical modelling, accounted for missing data and complex survey sampling methodology and was demonstrated to be a useful tool for detecting three biomarkers associated with depression for future
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Comparison of cranial sex determination by discriminant analysis and logistic regression.
Amores-Ampuero, Anabel; Alemán, Inmaculada
2016-04-05
Various methods have been proposed for estimating dimorphism. The objective of this study was to compare sex determination results from cranial measurements using discriminant analysis or logistic regression. The study sample comprised 130 individuals (70 males) of known sex, age, and cause of death from San José cemetery in Granada (Spain). Measurements of 19 neurocranial dimensions and 11 splanchnocranial dimensions were subjected to discriminant analysis and logistic regression, and the percentages of correct classification were compared between the sex functions obtained with each method. The discriminant capacity of the selected variables was evaluated with a cross-validation procedure. The percentage accuracy with discriminant analysis was 78.2% for the neurocranium (82.4% in females and 74.6% in males) and 73.7% for the splanchnocranium (79.6% in females and 68.8% in males). These percentages were higher with logistic regression analysis: 85.7% for the neurocranium (in both sexes) and 94.1% for the splanchnocranium (100% in females and 91.7% in males).
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Prenatal and early postnatal depression and child maltreatment among Japanese fathers.
Takehara, Kenji; Suto, Maiko; Kakee, Naoko; Tachibana, Yoshiyuki; Mori, Rintaro
2017-08-01
We investigated the association of paternal depression in the prenatal and early postnatal period with child maltreatment tendency at two months postpartum among Japanese fathers. This population-based longitudinal study recruited Japanese perinatal women and their partners living in Nishio City, Aichi, Japan. Of the 270 fathers who participated, 196 were included in the analysis. All data were collected via self-administrated questionnaires at four time points: 20 weeks' gestation and in the first few days, one month, and two months postpartum. Paternal depression was assessed using the Edinburgh Postnatal Depression Scale. Three definitions of paternal depression were coded based on participants' scores on this measure: prenatal, prior, and current. Child maltreatment tendency was evaluated using the Child Maltreatment Scale at two months postpartum. The associations of the three definitions of paternal depression and child maltreatment tendency were separately analyzed using logistic regression analysis. The prevalence of prenatal, prior, and current paternal depression was 9.7%, 10.2%, and 8.8%, respectively. According to the multivariate analysis, current paternal depression was significantly associated with child maltreatment tendency at two months postpartum (adjusted odds ratio: 7.77, 95% CI: 1.83-33.02). The other two types of depression, however, were not related to child maltreatment tendency. Thus, current paternal depression increased the risk of child maltreatment tendency in the postnatal period, suggesting that early detection and treatment of paternal depression might be useful for the prevention of child maltreatment. Copyright © 2017 Elsevier Ltd. All rights reserved.
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Depression and anxiety one month after stroke
Directory of Open Access Journals (Sweden)
Cha-Nam Shin
2017-07-01
Full Text Available Depression and anxiety after stroke negatively affect patient outcomes; however, health care professionals may overlook poststroke depression and anxiety while they focus on the physical disabilities of patients soon after a stroke. The purpose of this study was to investigate the prevalence and predictors of depression, anxiety, or both concurrently at one month after stroke. We conducted a cross-sectional, descriptive study in a sample of 231 hospitalized patients with ischemic stroke in Korea. Data were collected by interviews using a series of structured questionnaires in addition to clinical data retrieved from patients’ medical records. More than 70% were identified as depressed, 45.9% experienced anxiety, and 43.7% had concurrent depression and anxiety. Using a multiple logistic regression analysis, we identified anxiety as a predictor of depression; depression as a predictor of anxiety; and female sex, headaches, and swallowing difficulty as predictors of the comorbidity of depression and anxiety. Periodical screenings for poststroke depression and anxiety from an early stage in a hospital to years after stroke in a community are recommended to provide better chances for early identification of patients at risk because depression and anxiety may manifest at any stage of recovery. Special attention should be given to individuals with culture-bound somatic symptoms in addition to female patients and those who have difficulty swallowing among Korean stroke patients.
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Boumparis, Nikolaos; Karyotaki, Eirini; Kleiboer, Annet; Hofmann, Stefan G; Cuijpers, Pim
2016-09-15
Depression is a mental disorder characterized by high and dysregulated negative affect in addition to diminished positive affect. To our knowledge, there has been no systematic review of the impact of psychotherapeutic interventions on these affective dimensions. Two comprehensive literature searches for all randomized controlled trials of psychotherapy in adults with depression were performed. The first from 1996 to December 31, 2014 and the second from January 1, 2015 to December 31, 2015. The primary outcome was the mean score of positive and negative affect. Depressive symptoms were measured to be included as a predictor in the meta-regression analyses. Ten studies with 793 adults with depression were included. All studies assessed positive and negative affect. Psychotherapeutic interventions resulted in significantly increased positive affect (g=0.41; 95% CI: 0.16-0.66 p=0.001), and significantly decreased negative affect (g=0.32; 95% CI: 0.15-0.78, p=0.001) in depressed adults. Because of the small number and substantial heterogeneity of the existing studies the meta-regression analyses produced conflicting results. As a consequence, we were unable to sufficiently demonstrate whether NA and depressive symptoms are in fact correlated or not. Given the small number and heterogeneity of the included studies, the findings should be considered with caution. Psychotherapeutic interventions demonstrate low to moderate effects in enhancing positive and reducing negative affect in depressed adults. Copyright © 2016 Elsevier B.V. All rights reserved.
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A Symptom Profile Analysis of Depression in a Sample of Iranian Patients
Directory of Open Access Journals (Sweden)
Shekoofeh Seifsafari
2013-03-01
Full Text Available Background: In some cultures, including ours, direct explanation of inner psychic world is inhibited and stigmatized, therefore finding alternative modes of expression. The aim of this cross-sectional study was to assess the frequency of somatization in the depressed patients.Methods: The present study comprised 500 patients referred to the outpatient clinic of Shiraz University of Medical Sciences, and diagnosed with major depressive disorders based on DSM-IV-TR. The presenting complaints of these patients were assessed through psychiatric interview. The presenting symptoms were divided into three main categories including mental symptoms, pain, and physical symptoms without pain. Statistical analysis (chi-square and logistic regression were performed to determine the relationship between presenting symptoms and some demographic variables such as age, gender, marital status, educational level and cultural background (urban or rural.Results: Physical symptoms other than pain, mental symptoms, and pain were found in 193 (38.6%, 186 (37.2%, and in 121 (24.2% patients respectively. Pain and physical complaints were more common in patients with rural cultural background, lower education, women and the married individuals. Headache (15.2%, irritability (10.6% and pain in different parts of the body (10.4% were the most frequent chief complaints of the patients. Hypochondriasis, suicidal idea, crying, irritability and insomnia were significant symptoms associated with the complaint of somatization.Conclusion: Somatic symptoms, especially pain, have a significant weight in the chief complaints of depressed patients. Physicians need to pay particular attention to this important issue in order to better understand these patients.
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A Symptom Profile Analysis of Depression in a Sample of Iranian Patients
Seifsafari, Shekoofeh; Firoozabadi, Ali; Ghanizadeh, Ahmad; Salehi, Alireza
2013-01-01
Background: In some cultures, including ours, direct explanation of inner psychic world is inhibited and stigmatized, therefore finding alternative modes of expression. The aim of this cross-sectional study was to assess the frequency of somatization in the depressed patients. Methods: The present study comprised 500 patients referred to the outpatient clinic of Shiraz University of Medical Sciences, and diagnosed with major depressive disorders based on DSM-IV-TR. The presenting complaints of these patients were assessed through psychiatric interview. The presenting symptoms were divided into three main categories including mental symptoms, pain, and physical symptoms without pain. Statistical analysis (chi-square and logistic regression) were performed to determine the relationship between presenting symptoms and some demographic variables such as age, gender, marital status, educational level and cultural background (urban or rural). Results: Physical symptoms other than pain, mental symptoms, and pain were found in 193 (38.6%), 186 (37.2%), and in 121 (24.2%) patients respectively. Pain and physical complaints were more common in patients with rural cultural background, lower education, women and the married individuals. Headache (15.2%), irritability (10.6%) and pain in different parts of the body (10.4%) were the most frequent chief complaints of the patients. Hypochondriasis, suicidal idea, crying, irritability and insomnia were significant symptoms associated with the complaint of somatization. Conclusion: Somatic symptoms, especially pain, have a significant weight in the chief complaints of depressed patients. Physicians need to pay particular attention to this important issue in order to better understand these patients. PMID:23645954
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Okubo, Ryo; Inoue, Takeshi; Hashimoto, Naoki; Suzukawa, Akio; Tanabe, Hajime; Oka, Matsuhiko; Narita, Hisashi; Ito, Koki; Kako, Yuki; Kusumi, Ichiro
2017-11-01
Previous studies indicated that personality traits have a mediator effect on the relationship between childhood abuse and depressive symptoms in major depressive disorder and nonclinical general adult subjects. In the present study, we aimed to test the hypothesis that personality traits mediate the relationship between childhood abuse and depressive symptoms in schizophrenia. We used the following questionnaires to evaluate 255 outpatients with schizophrenia: the Child Abuse and Trauma Scale, temperament and character inventory, and Patients Health Questionnire-9. Univariate analysis, multiple regression analysis, and structured equation modeling (SEM) were used to analyze the data. The relationship between neglect and sexual abuse and the severity of depressive symptoms was mostly mediated by the personality traits of high harm avoidance, low self-directedness, and low cooperativeness. This finding was supported by the results of stepwise multiple regression analysis and the acceptable fit indices of SEM. Thus, our results suggest that personality traits mediate the relationship between childhood abuse and depressive symptoms in schizophrenia. The present study and our previous studies also suggest that this mediator effect could occur independent of the presence or type of mental disorder. Clinicians should routinely assess childhood abuse history, personality traits, and their effects in schizophrenia. Copyright © 2017. Published by Elsevier B.V.
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Regression Analysis: Instructional Resource for Cost/Managerial Accounting
Stout, David E.
2015-01-01
This paper describes a classroom-tested instructional resource, grounded in principles of active learning and a constructivism, that embraces two primary objectives: "demystify" for accounting students technical material from statistics regarding ordinary least-squares (OLS) regression analysis--material that students may find obscure or…
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[The relationship between depressive symptoms and family functioning in institutionalized elderly].
de Oliveira, Simone Camargo; dos Santos, Ariene Angelini; Pavarini, Sofia Cristina Iost
2014-02-01
The present study aimed to investigate the relationship between family functioning and depressive symptoms among institutionalized elderly. This is a descriptive, cross-sectional study of quantitative character. A total of 107 institutionalized elderly were assessed using a sociodemographic questionnaire, the Geriatric Depression Scale (to track depressive symptoms) and the Family APGAR (to assess family functioning). The correlation coefficient of Pearson's, the chi-square test and the crude and adjusted logistic regression were used in the data analysis with a significance level of 5 %. The institutionalized elderly with depressive symptoms were predominantly women and in the age group of 80 years and older. Regarding family functioning, most elderly had high family dysfunctioning (57 %). Family dysfunctioning was higher among the elderly with depressive symptoms. There was a significant correlation between family functioning and depressive symptoms. The conclusion is that institutionalized elderly with dysfunctional families are more likely to have depressive symptoms.
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Burden and depression in primary caregivers of persons with visual impairment
Directory of Open Access Journals (Sweden)
Shubhank Khare
2016-01-01
Full Text Available Context: Caregivers who assist persons with visual impairment often neglect their needs, resulting in burden and depression. Rehabilitation efforts, directed to the disabled, seldom target the caregiver. Aim: To assess burden and depression in persons caring for blind individuals. Settings and Design: This was a cross-sectional study carried out in the outpatient department of a tertiary-level teaching hospital in New Delhi. Materials and Methods : Institutional Ethical Board approval was obtained and written informed consent too was obtained from the participants involved in this study. Persons with best-corrected vision <20/200 in the better eye, and their primary caregivers, were recruited. We recorded demography, other illness/disability, household income, relationship with disabled person, and caregiver burden (Caregiver Burden Scale and depression (Centre for Epidemiologic Studies Depression Scale. Statistical Analysis: Statistical analysis was carried out using SPSS version 20 (Released 2011. Armonk, NY: IBM Corp.; range, average, and standard deviation were determined for age, burden, and depression. The association between burden and depression was determined using Pearson′s correlation; the relationship between degree of disability and caregiver burden and depression was determined using unpaired t-test; using multiple linear regression, factors were found to be statistically significant; significance was taken at P < 0.05. Results: Twenty-seven (53.0% men and 24 (47.0% women had visual impairment. Most caregivers (n = 40; 81.6% were first-degree relatives or a spouse; 32 (65% had schooling <5 years; and 29 (59% were unemployed. Depression ranged from 21 to 52 (average 43.2 ± 5.71; it correlated with degree of disability (P = 0.012, household income (r = −0.320; P = 0.025, and burden (r = 0.616; P < 0.001. Burden ranged from 30 to 73 (average 54.5 ± 6.73 and correlated with degree of disability (P = 0.006. On multiple linear
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Chang, Hung-Hao; Chiang, Tung-Liang
2009-01-01
To understand the association between depressive symptoms and smoking. In addition, we investigate how smokers with and without depressive symptoms may respond to cigarette price change differently. We used data drawn from a nationally representative survey in Taiwan. Totally, 13,030 male adults were included in the analysis. Depressive symptoms were measured using the Taiwanese depression questionnaire. A logistic regression model was estimated to examine the odds ratio of smoking for those with depressive symptoms versus those without depressive symptoms. Focused on smokers, the ordinary least squares multivariate regression method was used to estimate the cigarette price elasticity. Compared to those without depressive symptoms, those with depressive symptoms were more likely to smoke (44.5 vs. 50.1%) and consume more cigarettes per day (18.4 vs. 21.0). The odds ratio of smoking for those with depressive symptoms, adjusted for demographic variables, was 1.3 (95% confidence interval, 1.1-1.6). The cigarette price elasticity was estimated at -0.82 and -0.41 for depressive smokers and non-depressive smokers, respectively. Although the association between depression and smoking had been documented, this study contributes to previous literature by investigating the extent to which cigarette price elasticities may differ between smokers with and without depressive symptoms. Results indicate that depressive smokers are more sensitive to the change of cigarette price. Therefore, tax/price increases can also be a very effective means of tobacco control for depressive smokers.
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Subgroup analysis in burnout: relations between fatigue, anxiety and depression
Directory of Open Access Journals (Sweden)
Arno eVan Dam
2016-02-01
Full Text Available Several authors have suggested that burned out patients do not form a homogeneous group and that subgroups should be considered. The identification of these subgroups may contribute to a better understanding of the burnout construct and lead to more specific therapeutic interventions. Subgroup analysis may also help clarify whether burnout is a distinct entity and whether subgroups of burnout overlap with other disorders such as depression and chronic fatigue syndrome. In a group of 113 clinically-diagnosed burned out patients, levels of fatigue, depression and anxiety were assessed. In order to identify possible subgroups, we performed a two-step cluster analysis. The analysis revealed two clusters that differed from one another in terms of symptom severity on the three aforementioned measures. Depression appeared to be the strongest predictor of group membership. These results are considered in the light of the scientific debate on whether burnout can be distinguished from depression and whether burnout subtyping is useful. Finally, implications for clinical practice and future research are discussed.
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Subgroup Analysis in Burnout: Relations Between Fatigue, Anxiety, and Depression
van Dam, Arno
2016-01-01
Several authors have suggested that burned out patients do not form a homogeneous group and that subgroups should be considered. The identification of these subgroups may contribute to a better understanding of the burnout construct and lead to more specific therapeutic interventions. Subgroup analysis may also help clarify whether burnout is a distinct entity and whether subgroups of burnout overlap with other disorders such as depression and chronic fatigue syndrome. In a group of 113 clinically diagnosed burned out patients, levels of fatigue, depression, and anxiety were assessed. In order to identify possible subgroups, we performed a two-step cluster analysis. The analysis revealed two clusters that differed from one another in terms of symptom severity on the three aforementioned measures. Depression appeared to be the strongest predictor of group membership. These results are considered in the light of the scientific debate on whether burnout can be distinguished from depression and whether burnout subtyping is useful. Finally, implications for clinical practice and future research are discussed. PMID:26869983
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Klein, Jan Philipp; Roniger, Antje; Schweiger, Ulrich; Späth, Christina; Brodbeck, Jeannette
2015-06-01
Chronic depression has often been associated with childhood trauma. There may, however, be an interaction between personality pathology, childhood trauma, and chronic depression. This interaction has not yet been studied. This retrospective analysis is based on 279 patients contacted for a randomized trial in an outpatient psychotherapy center over a period of 18 months from 2010 to 2012. Current diagnoses of a personality disorder and presence of chronic depression were systematically assessed using the Structured Clinical Interview for DSM-IV. Retrospective reports of childhood trauma were collected using the short form of the Childhood Trauma Questionnaire (CTQ-SF). DSM-IV-defined chronic depression was the primary outcome. The association between chronic depression, childhood trauma, and personality disorders was analyzed using correlations. Variables that had at least a small effect on correlation analysis were entered into a series of logistic regression analyses to determine the predictors of chronic depression and the moderating effect of childhood trauma. The presence of avoidant personality disorder, but no CTQ-SF scale, was associated with the chronicity of depression (odds ratio [OR] = 2.20, P = .015). The emotional abuse subscale of the CTQ-SF did, however, correlate with avoidant personality disorder (OR = 1.15, P = .000). The level of emotional abuse had a moderating effect on the effect of avoidant personality disorder on the presence of chronic depression (OR = 1.08, P = .004). Patients who did not suffer from avoidant personality disorder had a decreased rate of chronic depression if they retrospectively reported more severe levels of emotional abuse (18.9% vs 39.7%, respectively). The presence of avoidant personality pathology may interact with the effect of childhood trauma in the development of chronic depression. This has to be confirmed in a prospective study. ClinicalTrials.gov identifier: NCT01226238. © Copyright 2015 Physicians
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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...
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Robust Mediation Analysis Based on Median Regression
Yuan, Ying; MacKinnon, David P.
2014-01-01
Mediation analysis has many applications in psychology and the social sciences. The most prevalent methods typically assume that the error distribution is normal and homoscedastic. However, this assumption may rarely be met in practice, which can affect the validity of the mediation analysis. To address this problem, we propose robust mediation analysis based on median regression. Our approach is robust to various departures from the assumption of homoscedasticity and normality, including heavy-tailed, skewed, contaminated, and heteroscedastic distributions. Simulation studies show that under these circumstances, the proposed method is more efficient and powerful than standard mediation analysis. We further extend the proposed robust method to multilevel mediation analysis, and demonstrate through simulation studies that the new approach outperforms the standard multilevel mediation analysis. We illustrate the proposed method using data from a program designed to increase reemployment and enhance mental health of job seekers. PMID:24079925
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Trajectories of distress, anxiety, and depression among women with breast cancer
DEFF Research Database (Denmark)
Bidstrup, Pernille Envold; Christensen, Jane; Mertz, Birgitte Goldschmidt
2015-01-01
OBJECTIVE: Little is known about the development of psychological wellbeing over time among women who have been treated for breast cancer. The aim of this study was to identify distinct patterns of distress, anxiety, and depression in such women. METHODS: We invited 426 consecutive women with newly...... diagnosed primary breast cancer to participate in this study, and 323 (76%) provided information on distress ('distress thermometer') and on symptoms of anxiety and depression ('hospital anxiety and depression scale'). Semiparametric group-based mixture modeling was used to identify distinct trajectories...... of distress, anxiety, and depressive symptoms assessed the week before surgery and four and eight months later. Logistic regression analysis was used to evaluate the characteristics of women in the distinct groups. RESULTS: Although no sub-group of women with chronic severe anxiety or depressive symptoms...
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Krishan, Kewal; Kanchan, Tanuj; Sharma, Abhilasha
2012-05-01
Estimation of stature is an important parameter in identification of human remains in forensic examinations. The present study is aimed to compare the reliability and accuracy of stature estimation and to demonstrate the variability in estimated stature and actual stature using multiplication factor and regression analysis methods. The study is based on a sample of 246 subjects (123 males and 123 females) from North India aged between 17 and 20 years. Four anthropometric measurements; hand length, hand breadth, foot length and foot breadth taken on the left side in each subject were included in the study. Stature was measured using standard anthropometric techniques. Multiplication factors were calculated and linear regression models were derived for estimation of stature from hand and foot dimensions. Derived multiplication factors and regression formula were applied to the hand and foot measurements in the study sample. The estimated stature from the multiplication factors and regression analysis was compared with the actual stature to find the error in estimated stature. The results indicate that the range of error in estimation of stature from regression analysis method is less than that of multiplication factor method thus, confirming that the regression analysis method is better than multiplication factor analysis in stature estimation. Copyright © 2012 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.
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A comparative study of multiple regression analysis and back ...
Indian Academy of Sciences (India)
Abhijit Sarkar
artificial neural network (ANN) models to predict weld bead geometry and HAZ width in submerged arc welding ... Keywords. Submerged arc welding (SAW); multi-regression analysis (MRA); artificial neural network ..... Degree of freedom.
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Bredemeier, Keith; Spielberg, Jeffrey M.; Silton, Rebecca Levin; Berenbaum, Howard; Heller, Wendy; Miller, Gregory A.
2010-01-01
The present study examined the utility of the anhedonic depression scale from the Mood and Anxiety Symptoms Questionnaire (MASQ-AD) as a way to screen for depressive disorders. Using receiver-operator characteristic analysis, the sensitivity and specificity of the full 22-item MASQ-AD scale, as well as the 8 and 14-item subscales, were examined in relation to both current and lifetime DSM-IV depressive disorder diagnoses in two nonpatient samples. As a means of comparison, the sensitivity and specificity of a measure of a relevant personality dimension, neuroticism, was also examined. Results from both samples support the clinical utility of the MASQ-AD scale as a means of screening for depressive disorders. Findings were strongest for the MASQ-AD 8-item subscale and when predicting current depression status. Furthermore, the MASQ-AD 8-item subscale outperformed the neuroticism measure under certain conditions. The overall usefulness of the MASQ-AD scale as a screening device is discussed, as well as possible cutoff scores for use in research. PMID:20822283
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Directory of Open Access Journals (Sweden)
Lançon Christophe
2006-07-01
Full Text Available Abstract Background Data comparing duloxetine with existing antidepressant treatments is limited. A comparison of duloxetine with fluoxetine has been performed but no comparison with venlafaxine, the other antidepressant in the same therapeutic class with a significant market share, has been undertaken. In the absence of relevant data to assess the place that duloxetine should occupy in the therapeutic arsenal, indirect comparisons are the most rigorous way to go. We conducted a systematic review of the efficacy of duloxetine, fluoxetine and venlafaxine versus placebo in the treatment of Major Depressive Disorder (MDD, and performed indirect comparisons through meta-regressions. Methods The bibliography of the Agency for Health Care Policy and Research and the CENTRAL, Medline, and Embase databases were interrogated using advanced search strategies based on a combination of text and index terms. The search focused on randomized placebo-controlled clinical trials involving adult patients treated for acute phase Major Depressive Disorder. All outcomes were derived to take account for varying placebo responses throughout studies. Primary outcome was treatment efficacy as measured by Hedge's g effect size. Secondary outcomes were response and dropout rates as measured by log odds ratios. Meta-regressions were run to indirectly compare the drugs. Sensitivity analysis, assessing the influence of individual studies over the results, and the influence of patients' characteristics were run. Results 22 studies involving fluoxetine, 9 involving duloxetine and 8 involving venlafaxine were selected. Using indirect comparison methodology, estimated effect sizes for efficacy compared with duloxetine were 0.11 [-0.14;0.36] for fluoxetine and 0.22 [0.06;0.38] for venlafaxine. Response log odds ratios were -0.21 [-0.44;0.03], 0.70 [0.26;1.14]. Dropout log odds ratios were -0.02 [-0.33;0.29], 0.21 [-0.13;0.55]. Sensitivity analyses showed that results were
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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.
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Li, Ying; Meng, Lu; Li, Yue; Sato, Yasuto
2014-03-01
Although the association between depression and body composition has been widely discussed, the effects of depression on lean body mass (LBM) are unclear. The present study aimed to investigate the association of depression with LBM. The study included 2406 participants aged 18-69 years. The sex and body mass index (BMI) stratified analysis of covariance was performed to compare total LBM and percentage LBM (%LBM) in subjects with different depression score levels. Multiple linear regression analysis was conducted to estimate the association between depression score and serum albumin level. An analysis of covariance stratified by sex showed that participants with moderate-to-severe depression had significantly decreased total LBM and total and regional %LBM in men, except for total LBM and percentage gynoid LBM, which was observed in women. In the BMI stratified analysis of covariance, depression was significantly associated with decreased total and regional %LBM and with increased total and regional percentage fat body mass. In people with BMI≥25kg/m(2), the associations between depression or depressive syndrome and LBM, and total and regional %LBM are stronger compared to those with BMILBM and serum albumin level. Copyright © 2014 Elsevier B.V. All rights reserved.
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Multilayer perceptron for robust nonlinear interval regression analysis using genetic algorithms.
Hu, Yi-Chung
2014-01-01
On the basis of fuzzy regression, computational models in intelligence such as neural networks have the capability to be applied to nonlinear interval regression analysis for dealing with uncertain and imprecise data. When training data are not contaminated by outliers, computational models perform well by including almost all given training data in the data interval. Nevertheless, since training data are often corrupted by outliers, robust learning algorithms employed to resist outliers for interval regression analysis have been an interesting area of research. Several approaches involving computational intelligence are effective for resisting outliers, but the required parameters for these approaches are related to whether the collected data contain outliers or not. Since it seems difficult to prespecify the degree of contamination beforehand, this paper uses multilayer perceptron to construct the robust nonlinear interval regression model using the genetic algorithm. Outliers beyond or beneath the data interval will impose slight effect on the determination of data interval. Simulation results demonstrate that the proposed method performs well for contaminated datasets.
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Exploratory regression analysis: a tool for selecting models and determining predictor importance.
Braun, Michael T; Oswald, Frederick L
2011-06-01
Linear regression analysis is one of the most important tools in a researcher's toolbox for creating and testing predictive models. Although linear regression analysis indicates how strongly a set of predictor variables, taken together, will predict a relevant criterion (i.e., the multiple R), the analysis cannot indicate which predictors are the most important. Although there is no definitive or unambiguous method for establishing predictor variable importance, there are several accepted methods. This article reviews those methods for establishing predictor importance and provides a program (in Excel) for implementing them (available for direct download at http://dl.dropbox.com/u/2480715/ERA.xlsm?dl=1) . The program investigates all 2(p) - 1 submodels and produces several indices of predictor importance. This exploratory approach to linear regression, similar to other exploratory data analysis techniques, has the potential to yield both theoretical and practical benefits.
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Gender-specific effects of depression and suicidal ideation in prosocial behaviors.
Directory of Open Access Journals (Sweden)
Ricardo Cáceda
Full Text Available Prosocial behaviors are essential to the ability to relate to others. Women typically display greater prosocial behavior than men. The impact of depression on prosocial behaviors and how gender interacts with those effects are not fully understood. We explored the role of gender in the potential effects of depression on prosocial behavior.We examined prosocial behaviors using a modified version of the Trust Game in a clinical population and community controls. Study participants were characterized on the severity of depression and anxiety, presence of suicidal ideation, history of childhood trauma, recent stressful life events, and impulsivity. We correlated behavioral outcomes with gender and clinical variables using analysis of variance and multiple regression analysis.The 89 participants comprised four study groups: depressed women, depressed men, healthy women and healthy men (n = 16-36. Depressed men exhibited reciprocity more frequently than healthy men. Depression induced an inversion of the gender-specific pattern of self-centered behavior. Suicidal ideation was associated with increased reciprocity behavior in both genders, and enhancement of the effect of depression on gender-specific self-centered behavior.Depression, particularly suicidal ideation, is associated with reversal of gender-specific patterns of prosocial behavior, suggesting abnormalities in sexual hormones regulation. This explanation is supported by known abnormalities in the hypothalamus-pituitary-adrenal and hypothalamus-pituitary-gonadal axes found in depression.
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The relationship between depressive symptoms and family functioning in institutionalized elderly
Directory of Open Access Journals (Sweden)
Simone Camargo de Oliveira
2014-02-01
Full Text Available The present study aimed to investigate the relationship between family functioning and depressive symptoms among institutionalized elderly. This is a descriptive, cross-sectional study of quantitative character. A total of 107 institutionalized elderly were assessed using a sociodemographic questionnaire, the Geriatric Depression Scale (to track depressive symptoms and the Family APGAR (to assess family functioning. The correlation coefficient of Pearson’s, the chi-square test and the crude and adjusted logistic regression were used in the data analysis with a significance level of 5 %. The institutionalized elderly with depressive symptoms were predominantly women and in the age group of 80 years and older. Regarding family functioning, most elderly had high family dysfunctioning (57 %. Family dysfunctioning was higher among the elderly with depressive symptoms. There was a significant correlation between family functioning and depressive symptoms. The conclusion is that institutionalized elderly with dysfunctional families are more likely to have depressive symptoms.
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Regression analysis for LED color detection of visual-MIMO system
Banik, Partha Pratim; Saha, Rappy; Kim, Ki-Doo
2018-04-01
Color detection from a light emitting diode (LED) array using a smartphone camera is very difficult in a visual multiple-input multiple-output (visual-MIMO) system. In this paper, we propose a method to determine the LED color using a smartphone camera by applying regression analysis. We employ a multivariate regression model to identify the LED color. After taking a picture of an LED array, we select the LED array region, and detect the LED using an image processing algorithm. We then apply the k-means clustering algorithm to determine the number of potential colors for feature extraction of each LED. Finally, we apply the multivariate regression model to predict the color of the transmitted LEDs. In this paper, we show our results for three types of environmental light condition: room environmental light, low environmental light (560 lux), and strong environmental light (2450 lux). We compare the results of our proposed algorithm from the analysis of training and test R-Square (%) values, percentage of closeness of transmitted and predicted colors, and we also mention about the number of distorted test data points from the analysis of distortion bar graph in CIE1931 color space.
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Longitudinal Association of Dementia and Depression.
Snowden, Mark B; Atkins, David C; Steinman, Lesley E; Bell, Janice F; Bryant, Lucinda L; Copeland, Catherine; Fitzpatrick, Annette L
2015-09-01
Depression is an important precursor to dementia, but less is known about the role dementia plays in altering the course of depression. We examined whether depression prevalence, incidence, and severity are higher in those with dementia versus those with mild cognitive impairment (MCI), or normal cognition. Prospective cohort study using the longitudinal Uniform Data Set of the National Alzheimer's Coordinating Center (2005-2013). 34 Alzheimer Disease research centers. 27,776 subjects with dementia, MCI, or normal cognition. Depression status was determined by a clinical diagnosis of depression within the prior 2 years and by a Geriatric Depression Scale-Short Form score >5. Rates of depression were significantly higher in subjects with MCI and dementia compared with those with normal cognition at index visit. Controlling for demographics and common chronic conditions, logistic regression analysis revealed elevated depression in those with MCI (OR: 2.40 [95% CI: 2.25, 2.56]) or dementia (OR: 2.64 [95% CI: 2.43, 2.86]) relative to those with normal cognition. In the subjects without depression at the index visit (N = 18,842), those with MCI and dementia had higher probabilities of depression diagnosis 2 years post index visit than those with normal cognition: MCI = 21.7%, dementia = 24.7%, normal cognition = 10.5%. MCI and dementia were associated with significantly higher rates of depression in concurrent as well as prospective analyses. These findings suggest that efforts to effectively engage and treat older adults with dementia will need also to address co-occurring depression. Copyright © 2015 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.
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Energy Technology Data Exchange (ETDEWEB)
Deng, Yangyang; Parajuli, Prem B.
2011-08-10
Evaluation of economic feasibility of a bio-gasification facility needs understanding of its unit cost under different production capacities. The objective of this study was to evaluate the unit cost of syngas production at capacities from 60 through 1800Nm 3/h using an economic model with three regression analysis techniques (simple regression, reciprocal regression, and log-log regression). The preliminary result of this study showed that reciprocal regression analysis technique had the best fit curve between per unit cost and production capacity, with sum of error squares (SES) lower than 0.001 and coefficient of determination of (R 2) 0.996. The regression analysis techniques determined the minimum unit cost of syngas production for micro-scale bio-gasification facilities of $0.052/Nm 3, under the capacity of 2,880 Nm 3/h. The results of this study suggest that to reduce cost, facilities should run at a high production capacity. In addition, the contribution of this technique could be the new categorical criterion to evaluate micro-scale bio-gasification facility from the perspective of economic analysis.
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Koorevaar, A M L; Hegeman, J M; Lamers, F; Dhondt, A D F; van der Mast, R C; Stek, M L; Comijs, H C
2017-12-01
This study examined the associations of personality characteristics with both subtypes and symptom dimensions of depression in older adults. Three hundred and seventy-eight depressed older adults participated in the Netherlands Study of Depression in Older Persons. Personality characteristics were assessed by the NEO-Five Factor Inventory. Subtypes and symptom dimensions of depression were determined using the Composite International Diagnostic Interview and the Inventory of Depressive Symptomatology (IDS). Multinomial logistic regression analyses were performed to examine the associations between personality and atypical, melancholic, and unspecified subtypes of major depression. Linear regression analyses examined the associations between personality and the IDS mood, somatic, and motivation symptom dimensions. The analyses were adjusted for confounders and additionally adjusted for depression severity. Neuroticism, Extraversion, Conscientiousness, and Agreeableness were associated with specified (atypical or melancholic) major depression compared with unspecified major depression in the bivariate analyses but lost their significance after adjustments for functional limitations and severity of depression. Neuroticism was positively associated with the IDS mood and motivation symptom dimensions, also in the adjusted models. Further, Extraversion and Agreeableness were negatively associated with the IDS mood symptom dimension, and Extraversion and Conscientiousness were negatively associated with the IDS motivation symptom dimension. None was associated with the IDS somatic symptom dimension. This study demonstrated the association of personality characteristics with mood and motivational symptoms of late-life depression. The lacking ability of personality to differentiate between melancholic and atypical depression seems to be largely explained by severity of depressive symptoms. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.
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Upward counterfactual thinking and depression: A meta-analysis.
Broomhall, Anne Gene; Phillips, Wendy J; Hine, Donald W; Loi, Natasha M
2017-07-01
This meta-analysis examined the strength of association between upward counterfactual thinking and depressive symptoms. Forty-two effect sizes from a pooled sample of 13,168 respondents produced a weighted average effect size of r=.26, pdesign (cross-sectional versus longitudinal). Significant effect size heterogeneity was observed across sample types, methods of assessing upward counterfactual thinking, and types of depression scale. Significant positive effects were found in studies that employed samples of bereaved individuals, older adults, terminally ill patients, or university students, but not adolescent mothers or mixed samples. Both number-based and Likert-based upward counterfactual thinking assessments produced significant positive effects, with the latter generating a larger effect. All depression scales produced significant positive effects, except for the Psychiatric Epidemiology Research Interview. Research and theoretical implications are discussed in relation to cognitive theories of depression and the functional theory of upward counterfactual thinking, and important gaps in the extant research literature are identified. Copyright © 2017 Elsevier Ltd. All rights reserved.
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A primer for biomedical scientists on how to execute model II linear regression analysis.
Ludbrook, John
2012-04-01
1. There are two very different ways of executing linear regression analysis. One is Model I, when the x-values are fixed by the experimenter. The other is Model II, in which the x-values are free to vary and are subject to error. 2. I have received numerous complaints from biomedical scientists that they have great difficulty in executing Model II linear regression analysis. This may explain the results of a Google Scholar search, which showed that the authors of articles in journals of physiology, pharmacology and biochemistry rarely use Model II regression analysis. 3. I repeat my previous arguments in favour of using least products linear regression analysis for Model II regressions. I review three methods for executing ordinary least products (OLP) and weighted least products (WLP) regression analysis: (i) scientific calculator and/or computer spreadsheet; (ii) specific purpose computer programs; and (iii) general purpose computer programs. 4. Using a scientific calculator and/or computer spreadsheet, it is easy to obtain correct values for OLP slope and intercept, but the corresponding 95% confidence intervals (CI) are inaccurate. 5. Using specific purpose computer programs, the freeware computer program smatr gives the correct OLP regression coefficients and obtains 95% CI by bootstrapping. In addition, smatr can be used to compare the slopes of OLP lines. 6. When using general purpose computer programs, I recommend the commercial programs systat and Statistica for those who regularly undertake linear regression analysis and I give step-by-step instructions in the Supplementary Information as to how to use loss functions. © 2011 The Author. Clinical and Experimental Pharmacology and Physiology. © 2011 Blackwell Publishing Asia Pty Ltd.
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Does caregiver well-being predict stroke survivor depressive symptoms? A mediation analysis.
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.
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Parsons, Vickie s.
2009-01-01
The request to conduct an independent review of regression models, developed for determining the expected Launch Commit Criteria (LCC) External Tank (ET)-04 cycle count for the Space Shuttle ET tanking process, was submitted to the NASA Engineering and Safety Center NESC on September 20, 2005. The NESC team performed an independent review of regression models documented in Prepress Regression Analysis, Tom Clark and Angela Krenn, 10/27/05. This consultation consisted of a peer review by statistical experts of the proposed regression models provided in the Prepress Regression Analysis. This document is the consultation's final report.
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Tutorial on Biostatistics: Linear Regression Analysis of Continuous Correlated Eye Data.
Ying, Gui-Shuang; Maguire, Maureen G; Glynn, Robert; Rosner, Bernard
2017-04-01
To describe and demonstrate appropriate linear regression methods for analyzing correlated continuous eye data. We describe several approaches to regression analysis involving both eyes, including mixed effects and marginal models under various covariance structures to account for inter-eye correlation. We demonstrate, with SAS statistical software, applications in a study comparing baseline refractive error between one eye with choroidal neovascularization (CNV) and the unaffected fellow eye, and in a study determining factors associated with visual field in the elderly. When refractive error from both eyes were analyzed with standard linear regression without accounting for inter-eye correlation (adjusting for demographic and ocular covariates), the difference between eyes with CNV and fellow eyes was 0.15 diopters (D; 95% confidence interval, CI -0.03 to 0.32D, p = 0.10). Using a mixed effects model or a marginal model, the estimated difference was the same but with narrower 95% CI (0.01 to 0.28D, p = 0.03). Standard regression for visual field data from both eyes provided biased estimates of standard error (generally underestimated) and smaller p-values, while analysis of the worse eye provided larger p-values than mixed effects models and marginal models. In research involving both eyes, ignoring inter-eye correlation can lead to invalid inferences. Analysis using only right or left eyes is valid, but decreases power. Worse-eye analysis can provide less power and biased estimates of effect. Mixed effects or marginal models using the eye as the unit of analysis should be used to appropriately account for inter-eye correlation and maximize power and precision.
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Directory of Open Access Journals (Sweden)
Seung-Sup Kim
Full Text Available BACKGROUND: A growing body of empirical evidence indicates that low-level social capital is related to poor mental health outcomes. However, the prospective association between social capital and depression remains unclear, and no published studies have investigated the association with longitudinal data in East-Asian countries. METHODS: We analyzed data from the ongoing Korean Welfare Panel Study to prospectively investigate association between social capital and depression. Social capital was measured at the individual level by two items specific to interpersonal trust and reciprocity. Depression was annually assessed as a dichotomous variable using the Center for Epidemiologic Studies Depression Scale. After excluding participants who had depression in 2006, logistic regression models were applied to estimate the association between each social capital indicator and new-onset depression developed in 2007 or long-term depression in both 2007 and 2008. We also examined the association in a subpopulation restricted to healthy participants after excluding individuals with any pre-existing disability, chronic disease, or poor self-rated health condition. RESULTS: Compared to the high interpersonal trust group, the odds ratios of developing new-onset and long-term depression among the low interpersonal trust group were 1.22 (95% CI: 1.08∼1.38 and 1.23 (95% CI: 1.03∼1.50, respectively, and increased to 1.32 (95% CI: 1.10∼1.57 and 1.47 (95% CI: 1.05∼2.08 in the subpopulation analyses restricted to healthy individuals. Although the low and intermediate reciprocity group also had significantly higher odds of developing new-onset depression compared to the high reciprocity group, the effects were attenuated and statistically non-significant in the subpopulation analyses. CONCLUSION: Low interpersonal trust appears to be an independent risk factor for new-onset and long-term depression in South Korea.
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Liu, Xu-hua; Xiao, Ya-ni; Huang, Zhi-xiong; Huang, Shao-bin; Cao, Xiao-ou; Guan, Dong-bo; Chen, Wei-qing
2013-04-01
To investigate the risk factors for depressive disorders in manufacturing workers and to provide a basis for developing health promotion measures at workplace. A questionnaire survey was performed in 8085 front-line production workers from 33 manufacturing enterprises in Nanhai District of Foshan, Guangdong Province, China. The questionnaire contained a survey of demographic characteristics, the Safety Climate Scale, the Center for Epidemiological Studies Depression Scale, etc. The multilevel logistic regression analysis was applied to investigate the risk factors for depressive disorders in workers. A total of 6260 workers completed the survey; their mean age was 31.1 ± 8.6 years, and 53.2% of them were males. The multilevel logistic regression analysis showed that after adjustment for sociodemographic factors such as age, sex, and martial status, more depressive disorders were reported in the enterprises with higher score of "production safety training" than in those with lower score (OR = 1.46, 95%CI = 1.07 ∼ 1.97); fewer depressive disorders were reported in the enterprises with higher score of "colleagues concerned about production safety" than in those with lower score (OR = 0.08, 95%CI = 0.03 ∼ 0.26); the relationships of "safety warnings and precautions" and "managers concerned about production safety" with workers' depressive disorders were not statistically significant (OR = 0.78, 95%CI = 0.48 ∼ 1.28; OR = 1.08, 95%CI = 0.68 ∼ 1.72). Depressive disorders in manufacturing workers are related to the safety climate at workplace, which indicates that a good safety climate at workplace should be created to prevent and control depressive disorders in workers.
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Directory of Open Access Journals (Sweden)
Lucas Primo de Carvalho Alves
Full Text Available Melancholic features of depression (MFD seem to be a unidimensional group of signs and symptoms. However, little importance has been given to the evaluation of what features are related to a more severe disorder. That is, what are the MFD that appear only in the most depressed patients. We aim to demonstrate how each MFD is related to the severity of the major depressive disorder.We evaluated both the Hamilton depression rating scale (HDRS-17 and its 6-item melancholic subscale (HAM-D6 in 291 depressed inpatients using Rasch analysis, which computes the severity of each MFD. Overall measures of model fit were mean (±SD of items and persons residual = 0 (±1; low χ2 value; p>0.01.For the HDRS-17 model fit, mean (±SD of item residuals = 0.35 (±1.4; mean (±SD of person residuals = -0.15 (±1.09; χ2 = 309.74; p<0.00001. For the HAM-D6 model fit, mean (±SD of item residuals = 0.5 (±0.86; mean (±SD of person residuals = 0.15 (±0.91; χ2 = 56.13; p = 0.196. MFD ordered by crescent severity were depressed mood, work and activities, somatic symptoms, psychic anxiety, guilt feelings, and psychomotor retardation.Depressed mood is less severe, while guilt feelings and psychomotor retardation are more severe MFD in a psychiatric hospitalization. Understanding depression as a continuum of symptoms can improve the understanding of the disorder and may improve its perspective of treatment.
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Koyanagi, Ai; Vancampfort, Davy; Carvalho, André F; DeVylder, Jordan E; Haro, Josep Maria; Pizzol, Damiano; Veronese, Nicola; Stubbs, Brendon
2017-11-28
Depression in tuberculosis increases the risk for adverse health outcomes. However, little is known about comorbid depression and tuberculosis in the general population. Thus, we assessed the association between depression and tuberculosis, and the decrements in health status associated with this comorbidity in 48 low- and middle-income countries. Cross-sectional, community-based data from the World Health Survey on 242,952 individuals aged ≥ 18 years were analyzed. Based on the World Mental Health Survey version of the Composite International Diagnostic Interview, past 12-month depression was categorized into depressive episode, brief depressive episode, subsyndromal depression, and no depression. Health status across six domains (cognition, interpersonal activities, sleep/energy, self-care, mobility, pain/discomfort) was assessed. Multivariable logistic and linear regression analyses were performed to assess the associations. The prevalence of depressive episode among those with and without tuberculosis was 23.7% and 6.8%, respectively (P Tuberculosis was associated with a 1.98 (95% CI 1.47-2.67), 1.75 (95% CI 1.26-2.42), and 3.68 (95% CI 3.01-4.50) times higher odds for subsyndromal depression, brief depressive episode, and depressive episode, respectively. Depressive episode co-occurring with tuberculosis was associated with significantly worse health status across all six domains compared to tuberculosis alone. Interaction analysis showed that depression significantly amplifies the association between TB and difficulties in self-care but not in other health domains. Depression is highly prevalent in adults with tuberculosis, and is associated with worse health status compared to tuberculosis without depression. Public health efforts directed to the recognition and management of depression in people with tuberculosis may lead to better outcomes.
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Doyle, Frank; McGee, Hannah; Conroy, Ronán; Conradi, Henk Jan; Meijer, Anna; Steeds, Richard; Sato, Hiroshi; Stewart, Donna E; Parakh, Kapil; Carney, Robert; Freedland, Kenneth; Anselmino, Matteo; Pelletier, Roxanne; Bos, Elisabeth H; de Jonge, Peter
2015-05-01
Using combined individual patient data from prospective studies, we explored sex differences in depression and prognosis post-myocardial infarction (MI) and determined whether disease indices could account for found differences. Individual patient data analysis of 10,175 MI patients who completed diagnostic interviews or depression questionnaires from 16 prospective studies from the MINDMAPS study was conducted. Multilevel logistic and Cox regression models were used to determine sex differences in prevalence of depression and sex-specific effects of depression on subsequent outcomes. Combined interview and questionnaire data from observational studies showed that 36% (635/1760) of women and 29% (1575/5526) of men reported elevated levels of depression (age-adjusted odds ratio = 0.68, 95% confidence interval [CI] = 0.60-0.77). The risk for all-cause mortality associated with depression was higher in men (hazard ratio = 1.38, 95% CI = 1.30-1.47) than in women (hazard ratio = 1.22, 95% CI = 1.14-1.31; sex by depression interaction: p < .001). Low left ventricular ejection fraction (LVEF) was associated with higher depression scores in men only (sex by LVEF interaction: B = 0.294, 95% CI = 0.090-0.498), which attenuated the sex difference in the association between depression and prognosis. The prevalence of depression post-MI was higher in women than in men, but the association between depression and cardiac prognosis was worse for men. LVEF was associated with depression in men only and accounted for the increased risk of all-cause mortality in depressed men versus women, suggesting that depression in men post-MI may, in part, reflect cardiovascular disease severity.
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The Association of Insight and Change in Insight with Clinical Symptoms in Depressed Inpatients.
He, Hongbo; Chang, Qing; Ma, Yarong
2018-04-25
Lack of insight has been extensively studied and was found to be adversely correlated with impaired treatment compliance and worse long term clinical outcomes among patients with schizophrenia, while not much is known about this phenonmenon in patients with severe depression. To explore the correlates of insight and its relation to symptom changes among the most seriously ill patients with affective disorders, those who require hospitalization. Patients hospitalized in a large psychiatric hospital in south China with either major depressive disorder (MDD)(N=55) or bipolar depression (BD) (N=85) based on ICD-10 diagnostic criteria were assessed with the Insight and Treatment Attitudes Questionnaire (ITAQ) one week after admission and at the time of discharge. Clinical symptoms were measured at the same time with the Hamilton Rating Scale for Depression (HAMD-17) and the Depression subscale of the Symptom Check list-90 (SCL-90). Length of stay (LOS), duration of illness, duration of untreated mood disorder, number of previous episodes of depression and previous admissions for depression were documented during interviews with patients and their families and from a review of medical records. Bivariate correlations and multiple regression analysis were used to examine the relationship of sociodemographic characteristics, clinical symptomatology and clinical history, to insight at the time of admission. The relationships between change in clinical symptoms and change in insight from admission to discharge were also examined. Stepwise multiple regression models suggested that any previous admissions for depression and higher anxiety factor scores on the HAMD-17 are significant independent predictors of insight accounting for 22.9% of the variance. Multiple regression analysis residual change scores (change scores adjusted for baseline values) on the ITAQ showed that improved insight over average stays of 51 days were inversely related to the residual psychomotor
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Post-Traumatic Stress Disorder, Depression and Anxiety among North Korean Refugees: A Meta-Analysis.
Taylor, Benjamin Eric; Chekaluk, Eugene; Bennett, Joanne
2017-09-01
Post-traumatic stress disorder is common among North Korean refugees who have fled their country for economic, financial and humanitarian reasons. Co-morbid depression and anxiety are also common among North Korean refugees, due to the difficulties they have faced within their country and during their escape journey. Depression and anxiety complicate treatment for post-traumatic stress disorder, and lead to poorer outcomes. Thus, the aim of the present study was to provide a meta-analysis of studies investigating post-traumatic stress disorder, depression, and anxiety among North Korean refugees. Selected articles were published in English, and included measures of post-traumatic stress, and/or depression and anxiety. 10 studies were included in the depression meta-analysis, and 6 in the anxiety meta-analysis. A random-effects model revealed strong, significant associations between post-traumatic stress and depression, r=0.63, 95% CI (0.51, 0.72), pstress, depression and anxiety were higher among adults and those with more than five years outside of North Korea. Depression appears to be an important treatment focus for North Korean refugees with post-traumatic stress.
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Non-stationary hydrologic frequency analysis using B-spline quantile regression
Nasri, B.; Bouezmarni, T.; St-Hilaire, A.; Ouarda, T. B. M. J.
2017-11-01
Hydrologic frequency analysis is commonly used by engineers and hydrologists to provide the basic information on planning, design and management of hydraulic and water resources systems under the assumption of stationarity. However, with increasing evidence of climate change, it is possible that the assumption of stationarity, which is prerequisite for traditional frequency analysis and hence, the results of conventional analysis would become questionable. In this study, we consider a framework for frequency analysis of extremes based on B-Spline quantile regression which allows to model data in the presence of non-stationarity and/or dependence on covariates with linear and non-linear dependence. A Markov Chain Monte Carlo (MCMC) algorithm was used to estimate quantiles and their posterior distributions. A coefficient of determination and Bayesian information criterion (BIC) for quantile regression are used in order to select the best model, i.e. for each quantile, we choose the degree and number of knots of the adequate B-spline quantile regression model. The method is applied to annual maximum and minimum streamflow records in Ontario, Canada. Climate indices are considered to describe the non-stationarity in the variable of interest and to estimate the quantiles in this case. The results show large differences between the non-stationary quantiles and their stationary equivalents for an annual maximum and minimum discharge with high annual non-exceedance probabilities.
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Directory of Open Access Journals (Sweden)
Liu YM
2018-03-01
Full Text Available Yueh-Min Liu,1 Hong-Jer Chang,2 Ru-Hwa Wang,3 Li-King Yang,4 Kuo-Cheng Lu,4 Yi-Chou Hou4 1Department of Nursing, Ching Kuo Institute of Management and Health, Taiwan; 2Graduate Institute of Long-Term Care, National Taipei University of Nursing and Health Sciences, Taipei City, Taiwan; 3Department of Nursing, Fu-Jen Catholic University, New Taipei City, Taiwan; 4Division of Nephrology, Department of Medicine, Cardinal Tien Hospital, School of Medicine, Fu-Jen Catholic University, New Taipei, Taiwan Background: Patients who undergo hemodialysis encounter challenges including role changes, physical degeneration, and difficulty in performing activities of daily living (ADLs and self-care. These challenges deteriorate their physiological and psychosocial conditions, resulting in depression. High resilience (RES and social support can alleviate stress and depression. This study evaluated the importance of RES and social support in managing depression in elderly patients undergoing maintenance hemodialysis (HD. Patients and methods: In this descriptive, correlational study, 194 older patients undergoing HD were enrolled from the HD centers of three hospitals in northern Taiwan. The Barthel ADL Index, RES scale, Inventory of Socially Supportive Behavior, and Beck Depression Inventory-II were used. Hierarchical regression analysis was applied to evaluate the interaction of RES and social support with illness severity, demographics, and ADLs. Results: Of the total participants, 45.9% experienced depressive symptoms. Demographic analysis showed that men and those with high educational level and income and financial independence had less depression (p<0.01. Patients with a higher Barthel Index (n=103, RES scale (n=33, and social support (n=113 showed less depressive symptoms (p<0.01. We found a significant negative correlation between depressive symptoms and social support (r=-0.506, p<0.01 and RES (r=-0.743, p<0.01. Hierarchical regression analysis showed
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Anxiety and Depression among Breast Cancer Patients in an Urban Setting in Malaysia.
Hassan, Mohd Rohaizat; Shah, Shamsul Azhar; Ghazi, Hasanain Faisal; Mohd Mujar, Noor Mastura; Samsuri, Mohd Fadhli; Baharom, Nizam
2015-01-01
Breast cancer is one of the most feared diseases among women and it could induce the development of psychological disorders like anxiety and depression. An assessment was here performed of the status and to determine contributory factors. A cross-sectional study was conducted among breast cancer patients at University Kebangsaan Malaysia Medical Center (UKMMC), Kuala Lumpur. A total of 205 patients who were diagnosed between 2007 until 2010 were interviewed using the questionnaires of Hospital Anxiety and Depression (HADS). The associated factors investigated concerned socio-demographics, socio economic background and the cancer status. Descriptive analysis, chi-squared tests and logistic regression were used for the statistical test analysis. The prevalence of anxiety was 31.7% (n=65 ) and of depression was 22.0% (n=45) among the breast cancer patients. Age group (p= 0.032), monthly income (p=0.015) and number of visits per month (p=0.007) were significantly associated with anxiety. For depression, marital status (p=0.012), accompanying person (p=0.041), financial support (p-0.007) and felt burden (p=0.038) were significantly associated. In binary logistic regression, those in the younger age group were low monthly income were 2 times more likely to be associated with anxiety. Having less financial support and being single were 3 and 4 times more likely to be associated with depression. In management of breast cancer patients, more care or support should be given to the young and low socio economic status as they are at high risk of anxiety and depression.
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[Prevalence of and factors related to depression in high school students].
Eskin, Mehmet; Ertekin, Kamil; Harlak, Hacer; Dereboy, Ciğdem
2008-01-01
The study aimed at investigating the prevalence of and factors related to depression in high school students. A total of 805 (n = 367 girls; n = 438 boys) first year students from three high schools in the city of Aydin filled in a self-report questionnaire that contained questions about socio-demographics, academic achievement and religious belief. It included also a depression rating scale, social support scale, problem solving inventory and an assertiveness scale. T-tests, chi-square tests, Pearson moment products correlation coefficients, and logistic regression analysis were used to analyze the data. 141 students (17.5%) scored on and above the cut-off point on the Children Depression Inventory (CDI). In the first regression analyses low self-esteem, low grade point average (GPA) and low perceived social support from friends in boys, and low self-esteem, low paternal educational level and low social support from friends were the predictors of girls' depression. When self-esteem scores were excluded, low GPA, low perceived social support from friends and family, and inefficient problem solving skills were predictors of depression in boys; low perceived social support from friends and family, low paternal educational level, and inefficient problem solving skills were the independent predictors of depression in girls. Depression is prevalent in high school students. Low self-esteem, low perceived social support from peers and family, and inefficient problem solving skills appears to be risk factors for adolescent depression. Low GPA for boys and low paternal education for girls were gender specific risk factors. Psychosocial interventions geared for increasing self-esteem, social support and problem solving skills may be effective in the prevention and treatment of adolescent depression.
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Wielaard, Ilse; Hoyer, Mathijs; Rhebergen, Didi; Stek, Max L; Comijs, Hannie C
2018-03-01
Childhood abuse makes people vulnerable to developing depression, even in late life. Psychosocial factors that are common in late life, such as loneliness or lack of a partner, may explain this association. Our aim was to investigate whether the association between childhood abuse and depression in older adults can be explained by psychosocial factors. Cross-sectional data were derived from the Netherlands Study of Depression in Older Persons (aged 60-93), including 132 without lifetime depression, 242 persons with an early-onset depression (Childhood abuse (yes/no) and a frequency-based childhood abuse index were included. Multinomial regression and multivariable mediation analyses were used to examine the association between childhood abuse and the onset of depression, and the influence of loneliness, social network, and partner status. Multinomial regression analyses showed a significant association between childhood abuse and the childhood abuse index with early- and late-onset depression. Multivariable mediation analyses showed that the association between childhood abuse and early-onset depression was partly mediated by social network size and loneliness. This was particularly present for emotional neglect and psychological abuse, but not for physical and sexual abuse. No psychosocial mediators were found for the association between childhood abuse and late-onset depression. A smaller social network and feelings of loneliness mediate the association between childhood abuse and early-onset depression in older adults. Our findings show the importance of detecting childhood abuse as well as the age at depression onset and mapping of relevant psychosocial factors in the treatment of late-life depression. Copyright © 2018 John Wiley & Sons, Ltd.
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Alternative Methods of Regression
Birkes, David
2011-01-01
Of related interest. Nonlinear Regression Analysis and its Applications Douglas M. Bates and Donald G. Watts ".an extraordinary presentation of concepts and methods concerning the use and analysis of nonlinear regression models.highly recommend[ed].for anyone needing to use and/or understand issues concerning the analysis of nonlinear regression models." --Technometrics This book provides a balance between theory and practice supported by extensive displays of instructive geometrical constructs. Numerous in-depth case studies illustrate the use of nonlinear regression analysis--with all data s
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Gender Differences in Depression Symptoms Among Rice Farmers in Thailand.
Hanklang, Suda; Kaewboonchoo, Orawan; Morioka, Ikuharu; Plernpit, Suwan-ampai
2016-01-01
This study aimed to examine the prevalence of depression symptoms and risk factors by gender among rice farmers in Nakhon Ratchasima Province in Thailand. A cross-sectional study was designed using interviewed questionnaire on lifestyle, work, and depression symptoms. To examine the factors associated with depression symptoms, multiple logistic regression analysis was used. Depression symptoms were found in 39.0% of males and 48.1% of females. Eating healthy food, preparing to prevent the problem, having community integration, hearing loud machines, and using personal protective equipment during work with chemical substances were associated factors among males with depression symptoms. Having family connection, being an accepted person in community, hearing loud machines, and having work-related financial hardship were predictors among females with depression symptoms. The prevalence of depression symptoms among Thai rice farmers was high. To prevent mental health problems, it is important to give males the support for health action and working styles, and females an accepting atmosphere. Corresponding to the aim, we have to define the factor by gender. © 2015 APJPH.
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Anxiety and Depression Among Adult Patients With Diabetic Foot: Prevalence and Associated Factors.
Ahmad, Ali; Abujbara, Mousa; Jaddou, Hashem; Younes, Nidal A; Ajlouni, Kamel
2018-05-01
Diabetic foot is a frequent complication of diabetes mellitus with subsequent disturbances in the daily life of the patients. The co-existence of depression and anxiety among diabetic foot patients is a common phenomenon and the role of each of them in perpetuating the other is highlighted in the literature. Our study aimed to determine the prevalence rates of anxiety and depression, and to examine the associated risk factors among diabetic foot patients. This is a cross-sectional study. A total of 260 diabetic foot patients in the Diabetic Foot Clinic at the National Center for Diabetes, Endocrinology and Genetics (NCDEG), Amman, Jordan, participated in the study. Sociodemographic and health data were gathered through review of medical charts and a structured questionnaire. Depression and anxiety status were also assessed. The Generalized Anxiety Disorder Scale (GAD-7) was used to screen for anxiety and the Patient Health Questionnaire (PHQ-9) was used to screen for depression. A cutoff of ≥ 10 was used for each scale to identify those who tested positive for anxiety and depression. Prevalence rate of anxiety was 37.7% and that of depression was 39.6%. Multiple logistic regression analysis showed that anxiety is positively associated with duration of diabetes of 7% (P = 0.03). Multiple logistic regression analysis also showed that depression is positively associated with patients of foot ulcer duration ≥ 7 months (P = 0.00), with ≥ three comorbid diseases (P = 0.00) than their counterparts. Anxiety and depression are widely prevalent among diabetic foot patients. Mental health status of those patients gets even worse among those suffering other comorbid diseases, which was a finding that requires special attention in the management of patients with diabetic foot.
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Wang, Yang; Wang, Xiaohua; Liu, Fangnan; Jiang, Xiaoning; Xiao, Yun; Dong, Xuehan; Kong, Xianglei; Yang, Xuemei; Tian, Donghua; Qu, Zhiyong
2016-01-01
Few studies have looked at the relationship between psychological and the mental health status of pregnant women in rural China. The current study aims to explore the potential mediating effect of negative automatic thoughts between negative life events and antenatal depression. Data were collected in June 2012 and October 2012. 495 rural pregnant women were interviewed. Depressive symptoms were measured by the Edinburgh postnatal depression scale, stresses of pregnancy were measured by the pregnancy pressure scale, negative automatic thoughts were measured by the automatic thoughts questionnaire, and negative life events were measured by the life events scale for pregnant women. We used logistic regression and path analysis to test the mediating effect. The prevalence of antenatal depression was 13.7%. In the logistic regression, the only socio-demographic and health behavior factor significantly related to antenatal depression was sleep quality. Negative life events were not associated with depression in the fully adjusted model. Path analysis showed that the eventual direct and general effects of negative automatic thoughts were 0.39 and 0.51, which were larger than the effects of negative life events. This study suggested that there was a potentially significant mediating effect of negative automatic thoughts. Pregnant women who had lower scores of negative automatic thoughts were more likely to suffer less from negative life events which might lead to antenatal depression.
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Post Partum Depression and Thyroid Function
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Farahnaz Keshavarzi MD
2011-09-01
Full Text Available Objective: Risk of depression is particularly high for women during the prenatal period. Various investigators have attempted to establish a link between thyroid function and post partum depression. This study aimed to investigate whether thyroid function differs in women with postpartum depression compared to a control group.Methods: In this case-control study, subjects were selected from Obstetrics & Gynecology and Psychiatric clinics of Kermanshah University of Medical Sciences. Forty eight patients suffering from postpartum depression according to Diagnostic and Statistical Manual of Mental Disorders, fourth edition totally revised (DSM-IV-TR, and 65 normal controls underwent diagnostic evaluation by one trained psychiatrist using Structured Clinical Interview for DSM-IV-TR. Then, the demographic questionnaire and the Persian version of Edinburgh Postnatal Depression Scale (EPDS were completed by the participants. Finally, their thyroid functions were assessed. Data analyses were done using the SPSS program 13.Results: No statistically significant differences were observed between thyroid function tests and postpartum depression. According to multiple regression analysis with stepwise method, subjects with lower serum TSH, T3RU, T3 levels, younger age and longer period after delivery tended to have higher EPDS scores (P-value=0.008. Conclusion:The present study reports that those women with postpartum depression had a no greater prevalence of thyroid dysfunction than the control subjects. It seems that thyroid dysfunction should be considered in women with postpartum depression individually, but the role of thyroid as an important cause of this condition is not yet established. This suggests that future studies should concentrate on this concept in postpartum depression.
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Characterising acute coronary syndrome-associated depression: Let the data speak.
Vollmer-Conna, Uté; Cvejic, Erin; Granville Smith, Isabelle; Hadzi-Pavlovic, Dusan; Parker, Gordon
2015-08-01
Depression in the context of acute coronary syndrome (ACS) is understood to confer increased morbidity and mortality risk. The pathophysiological mechanisms underlying this association remain poorly understood, although several candidates including inflammation, cardiac autonomic dysregulation, and behavioural factors are viewed as of key importance. No single bio-behavioural explanatory model of ACS-associated depression has emerged, likely due the substantial heterogeneity across both conditions. We studied 344 patients with ACS; 45 fulfilled diagnostic (DSM-IV) criteria for a major depressive episode occurring within 1-month of ACS, and 13 had ongoing major depression that pre-dated ACS and continued through to 1 month post-ACS. We employed two statistical methods (multinomial logistic regression; and latent class analysis) and a range of immunological, autonomic and nutritional markers in an attempt to characterise a biological basis for ACS-associated depression. Regression modelling failed to accurately predict categorical group membership of ACS-associated depression. An alternative data-driven approach produced a three-class solution, with the derived classes differing on measure of C-reactive protein, vitamin D, omega-6:omega-3 ratio, heart rate variability, and age (all p⩽0.004). The majority of participants with ACS-associated and ongoing depression were members of the class characterised by the greatest biological disturbance. Patients with depression differed from those without depression on a range of psychological trait and state variables; additionally reporting poorer sleep quality, higher levels of social isolation, and functional impairment, but had similar biological profiles. Patients with ongoing depression generally had higher scores on these psychological/behavioural measures. Our novel analytic approach identified a combination of biomarkers suggestive of a role for immune, autonomic, and nutritional pathways in the manifestation of
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Davey, C G; López-Solà, C; Bui, M; Hopper, J L; Pantelis, C; Fontenelle, L F; Harrison, B J
2016-11-01
Negative mood states are composed of symptoms of depression and anxiety, and by a third factor related to stress, tension and irritability. We sought to clarify the nature of the relationships between the factors by studying twin pairs. A total of 503 monozygotic twin pairs completed the Depression Anxiety Stress Scales (DASS), an instrument that assesses symptoms of depression, anxiety and stress-tension. We applied a recently developed twin regression methodology - Inference about Causation from Examination of FAmiliaL CONfounding (ICE FALCON) - to test for evidence consistent with the existence of 'causal' influences between the DASS factors. There was evidence consistent with the stress-tension factor having a causal influence on both the depression (p anxiety factors (p = 0.001), and for the depression factor having a causal influence on the anxiety factor (p stress-tension in the structure of negative mood states, and that interventions that target it may be particularly effective in reducing depression and anxiety symptoms.
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Women's status and depressive symptoms: a multilevel analysis.
Chen, Ying-Yeh; Subramanian, S V; Acevedo-Garcia, Doloros; Kawachi, Ichiro
2005-01-01
The effects of state-level women's status and autonomy on individual-level women's depressive symptoms were examined. We conducted a multi-level analysis of the 1991 longitudinal follow up of the 1988 National Maternal Infant Health Survey (NMIHS), with 7789 women nested within the fifty American states. State-level women's status was assessed by four composite indices measuring women's political participation, economic autonomy, employment & earnings, and reproductive rights. The main outcome measure was symptoms of depression (Center for Epidemiologic Studies Depression Scale, CES-D). The participants were a nationally representative stratified random sample of women in the USA aged between 17 and 40 years old who gave birth to live babies in 1988, were successfully contacted again in 1991 and provided complete information on depressive symptoms. Women who were younger, non-white, not currently married, less educated or had lower household income tended to report higher levels of depressive symptoms. Compared with states ranking low on the employment & earnings index, women residing in states that were high on the same index scored 0.85 points lower on the CES-D (peconomic autonomy index scored 0.83 points lower in depressive symptoms (p<0.01), compared with women who lived in states low on the same index. Finally, women who resided in states with high reproductive rights scored 0.62 points lower on the CES-D (p<0.05) compared with women who lived in states with lower reproductive rights. Gender inequality appears to contribute to depressive symptoms in women.
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Plasma biomarkers of depressive symptoms in older adults.
Arnold, S E; Xie, S X; Leung, Y-Y; Wang, L-S; Kling, M A; Han, X; Kim, E J; Wolk, D A; Bennett, D A; Chen-Plotkin, A; Grossman, M; Hu, W; Lee, V M-Y; Mackin, R Scott; Trojanowski, J Q; Wilson, R S; Shaw, L M
2012-01-03
The pathophysiology of negative affect states in older adults is complex, and a host of central nervous system and peripheral systemic mechanisms may play primary or contributing roles. We conducted an unbiased analysis of 146 plasma analytes in a multiplex biochemical biomarker study in relation to number of depressive symptoms endorsed by 566 participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) at their baseline and 1-year assessments. Analytes that were most highly associated with depressive symptoms included hepatocyte growth factor, insulin polypeptides, pregnancy-associated plasma protein-A and vascular endothelial growth factor. Separate regression models assessed contributions of past history of psychiatric illness, antidepressant or other psychotropic medicine, apolipoprotein E genotype, body mass index, serum glucose and cerebrospinal fluid (CSF) τ and amyloid levels, and none of these values significantly attenuated the main effects of the candidate analyte levels for depressive symptoms score. Ensemble machine learning with Random Forests found good accuracy (~80%) in classifying groups with and without depressive symptoms. These data begin to identify biochemical biomarkers of depressive symptoms in older adults that may be useful in investigations of pathophysiological mechanisms of depression in aging and neurodegenerative dementias and as targets of novel treatment approaches.
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On macroeconomic values investigation using fuzzy linear regression analysis
Directory of Open Access Journals (Sweden)
Richard Pospíšil
2017-06-01
Full Text Available The theoretical background for abstract formalization of the vague phenomenon of complex systems is the fuzzy set theory. In the paper, vague data is defined as specialized fuzzy sets - fuzzy numbers and there is described a fuzzy linear regression model as a fuzzy function with fuzzy numbers as vague parameters. To identify the fuzzy coefficients of the model, the genetic algorithm is used. The linear approximation of the vague function together with its possibility area is analytically and graphically expressed. A suitable application is performed in the tasks of the time series fuzzy regression analysis. The time-trend and seasonal cycles including their possibility areas are calculated and expressed. The examples are presented from the economy field, namely the time-development of unemployment, agricultural production and construction respectively between 2009 and 2011 in the Czech Republic. The results are shown in the form of the fuzzy regression models of variables of time series. For the period 2009-2011, the analysis assumptions about seasonal behaviour of variables and the relationship between them were confirmed; in 2010, the system behaved fuzzier and the relationships between the variables were vaguer, that has a lot of causes, from the different elasticity of demand, through state interventions to globalization and transnational impacts.
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The impact of a livelihood program on depressive symptoms among people living with HIV in Cambodia.
Shimizu, Mayumi; Yi, Siyan; Tuot, Sovannary; Suong, Samedy; Sron, Samrithea; Shibanuma, Akira; Jimba, Masamine
2016-01-01
Psychological and social problems are major concerns in this era of successful antiretroviral therapy. Although livelihood programs have been implemented extensively to improve the daily living conditions of people living with HIV in Cambodia, no studies have yet investigated the impacts of these programs on the mental health of this vulnerable population. Therefore, we examined the impact of a livelihood program on depressive symptoms and associated factors among people living with HIV in Cambodia. A quasi-experimental, nonequivalent comparison group study was conducted in six provinces of Cambodia in 2014. Data were collected from an intervention group comprising 357 people living with HIV who had participated in the livelihood program and a comparison group comprising 328 people living with HIV who had not participated in this program. Multiple logistic regression analysis was carried out to examine the association between livelihood-program participation and depressive symptoms as measured by the depressive symptoms subscale of the 25-item Cambodian version of the Hopkins Symptom Checklist. A propensity score matching was used to examine the effect of the livelihood program on depressive symptoms while controlling for selection bias. Overall, 56.0% and 62.7% of the participants in the intervention and comparison groups, respectively, met the Hopkins Symptom Checklist threshold for depressive symptoms. The multiple logistic regression analysis showed that the participants in the intervention group had significantly lower odds of having depressive symptoms (adjusted odds ratio 0.68, 95% confidence interval 0.52-0.88). The analysis from propensity score matching indicated that the livelihood program helped mitigate depressive symptoms among the participants in the intervention group (T=-1.99). The livelihood program appeared to help mitigate the burden of depressive symptoms among people living with HIV in Cambodia. Thus, this program should be scaled up and
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A Prospective Study on the Prevalence and Risk Factors of Poststroke Depression
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A. De Ryck
2013-01-01
Full Text Available Background and Purpose: Poststroke depression (PSD is common. Early detection of depressive symptoms and identification of patients at risk for PSD are important as PSD negatively affects stroke outcome and costs of medical care. Therefore, the aim of this study was to determine incidence and risk factors for PSD at 3 months after stroke. Methods: We conducted a prospective, longitudinal epidemiological study aiming to determine incidence and risk factors for PSD at 1, 3, 6, 12 and 18 months poststroke. The present data analysis covers the convalescent phase of 3 months poststroke. Participants in this study were inpatients, admitted to a stroke unit with first or recurrent stroke. Demographic data and vascular risk factors were collected and patients were evaluated at baseline and 3 months poststroke for functional and cognitive deficits, stroke characteristics, stroke severity and stroke outcome. Signs and symptoms of depression were quantified by means of the Cornell Scale for Depression (CSD and Montgomery and Åsberg Depression Rating Scale (MADRS. Significantly associated variables from univariate analysis were analyzed by using multiple linear and logistic regression methods. Results: Data analysis was performed in 135 patients who completed follow-up assessments at 3 months poststroke. Depression (CSD score ≥8 was diagnosed in 28.1% of the patients. Patients with PSD were significantly more dependent with regard to activities of daily living (ADL and displayed more severe physical and cognitive impairment than patients without PSD. A higher prevalence of speech and language dysfunction and apraxia were observed in patients with PSD (36.8 and 34.3%, respectively compared to non-depressed stroke patients (19.6 and 12.4%; p = 0.036 and p = 0.004, respectively. Applying multiple linear regressions, cognitive impairment and reduced mobility as part of the Stroke Impact Scale were independently associated with PSD, as scored using CSD and
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Depression and Anxiety in Greek Male Veterans After Retirement.
Kypraiou, Aspa; Sarafis, Pavlos; Tsounis, Andreas; Bitsi, Georgia; Andreanides, Elias; Constantinidis, Theodoros; Kotrotsiou, Evaggelia; Malliarou, Maria
2017-03-01
Retirement is a turning point in human life, resulting in changes to physical and mental health status. The aim of this study was to examine the factors that are related with depression and anxiety symptoms in Greek male veterans after retirement. A total of 502 veterans participated in a cross-sectional study. Beck Depression Inventory for depression assessment and Spielberger Trait Anxiety Inventory for anxiety assessment were used. The Ethics Committee of the Technological Educational Institution of Thessaly granted permission for conducting the research, and informed consent was obtained from all the participants. Questionnaires were filled in electronically using a platform that was made for the specific research. Mean values, standard deviations, Student t test, nonparametric cluster analysis of variance, Pearson's and Spearman's coefficients, and linear regression were conducted, using the Statistical Program for Social Services version 19.0. Severe depression was found in 3.8% of veterans with a mean score of 6.78, whereas 23.2% displayed mild-to-moderate symptoms of depression. Mean score of state anxiety was found to be 36.55 and of trait anxiety 33.60. Veterans who were discharged because of stressful working conditions, those who have a high body mass index, consume regularly alcohol, smoke and were not satisfied by changes in their everyday life after retirement had significantly more symptoms of depression and anxiety, although those who retired because of family problems had significantly more symptoms of depression. Multivariate linear regression analyses indicated that dissatisfaction related to lifestyle changes had statistically significant effect on symptoms of depression and anxiety, and stressful working conditions as a leading cause for retirement had statistically significant effect on depression. Finally, according to linear regression analyses results, those who were satisfied with their professional evolution had 1.80 times lower score in
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Richman, Mara J; Unoka, Zsolt
2015-12-01
Patients with major depression and borderline personality disorder are characterised by a distorted perception of other people's intentions. Deficits in mental state decoding are thought to be the underlying cause of this clinical feature. To examine, using meta-analysis, whether mental state decoding abilities in patients with major depression and borderline personality disorder differ from those of healthy controls. A systematic review of 13 cross-sectional studies comparing Reading in the Mind of the Eyes Test (RMET) accuracy performance of patients with major depression or borderline personality disorder and healthy age-matched controls (n = 976). Valence scores, where reported, were also assessed. Large significant deficits were seen for global RMET performance in patients with major depression (d = -0.751). The positive RMET valence scores of patients with depression were significantly worse; patients with borderline personality disorder had worse neutral scores. Both groups were worse than controls. Moderator analysis revealed that individuals with comorbid borderline personality disorder and major depression did better than those with borderline personality disorder alone on accuracy. Those with comorbid borderline personality disorder and any cluster B or C personality disorder did worse than borderline personality disorder alone. Individuals with both borderline personality disorder and major depression performed better then those with borderline personality disorder without major depression for positive valence. These findings highlight the relevance of RMET performance in patients with borderline personality disorder and major depression, and the importance of considering comorbidity in future analysis. © The Royal College of Psychiatrists 2015.
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The impact of foreign caregiving on depression among older people in Taiwan: model testing.
Chiao, Chia-Yi; Schepp, Karen G
2012-05-01
This article is a report of a study of predicting the factors that influence depression in the older people in Taiwan. Background. In 1991, Taiwan opened the labour market to foreign caregivers for the older people who needed long-term care. With the differences in language, culture and lifestyle between foreign caregivers and older people in Taiwan, it was hypothesized that the older people would not be able to relate to them, and therefore become depressed. The data were collected from 116 Taiwanese older people from July to September, 2005. Path analysis using multiple regression analyses was conducted to estimate the direct and indirect effects of caregiving communication, activities of daily living, income and social support on depression among older people in Taiwan. To evaluate the hypotheses for this research, bi-variate linear regression and multiple regression analyses were used. The results indicated that the level of activities of daily living (β = -0·201, P = 0·010), care-giving communication (β = -0·272, P = 0·002) income (β = -0·305, P = 0·000) and social support (β = -0·276, P = 0·002) were the predictors of depression in older people in Taiwan. Social support was a mediating factor for caregiving communication and depression. Furthermore, foreign caregiver care was not correlated with depression among older people in Taiwan. The findings influence the public awareness of depression in older people, and provide the foundational information to influence the policy makers of Taiwan to evaluate the foreign caregiver policy. © 2011 The Authors. Journal of Advanced Nursing © 2011 Blackwell Publishing Ltd.
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REGRESSION ANALYSIS OF SEA-SURFACE-TEMPERATURE PATTERNS FOR THE NORTH PACIFIC OCEAN.
SEA WATER, *SURFACE TEMPERATURE, *OCEANOGRAPHIC DATA, PACIFIC OCEAN, REGRESSION ANALYSIS , STATISTICAL ANALYSIS, UNDERWATER EQUIPMENT, DETECTION, UNDERWATER COMMUNICATIONS, DISTRIBUTION, THERMAL PROPERTIES, COMPUTERS.
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Dipnall, Joanna F.
2016-01-01
Background Atheoretical large-scale data mining techniques using machine learning algorithms have promise in the analysis of large epidemiological datasets. This study illustrates the use of a hybrid methodology for variable selection that took account of missing data and complex survey design to identify key biomarkers associated with depression from a large epidemiological study. Methods The study used a three-step methodology amalgamating multiple imputation, a machine learning boosted regression algorithm and logistic regression, to identify key biomarkers associated with depression in the National Health and Nutrition Examination Study (2009–2010). Depression was measured using the Patient Health Questionnaire-9 and 67 biomarkers were analysed. Covariates in this study included gender, age, race, smoking, food security, Poverty Income Ratio, Body Mass Index, physical activity, alcohol use, medical conditions and medications. The final imputed weighted multiple logistic regression model included possible confounders and moderators. Results After the creation of 20 imputation data sets from multiple chained regression sequences, machine learning boosted regression initially identified 21 biomarkers associated with depression. Using traditional logistic regression methods, including controlling for possible confounders and moderators, a final set of three biomarkers were selected. The final three biomarkers from the novel hybrid variable selection methodology were red cell distribution width (OR 1.15; 95% CI 1.01, 1.30), serum glucose (OR 1.01; 95% CI 1.00, 1.01) and total bilirubin (OR 0.12; 95% CI 0.05, 0.28). Significant interactions were found between total bilirubin with Mexican American/Hispanic group (p = 0.016), and current smokers (p<0.001). Conclusion The systematic use of a hybrid methodology for variable selection, fusing data mining techniques using a machine learning algorithm with traditional statistical modelling, accounted for missing data and
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Directory of Open Access Journals (Sweden)
Joanna F Dipnall
Full Text Available Atheoretical large-scale data mining techniques using machine learning algorithms have promise in the analysis of large epidemiological datasets. This study illustrates the use of a hybrid methodology for variable selection that took account of missing data and complex survey design to identify key biomarkers associated with depression from a large epidemiological study.The study used a three-step methodology amalgamating multiple imputation, a machine learning boosted regression algorithm and logistic regression, to identify key biomarkers associated with depression in the National Health and Nutrition Examination Study (2009-2010. Depression was measured using the Patient Health Questionnaire-9 and 67 biomarkers were analysed. Covariates in this study included gender, age, race, smoking, food security, Poverty Income Ratio, Body Mass Index, physical activity, alcohol use, medical conditions and medications. The final imputed weighted multiple logistic regression model included possible confounders and moderators.After the creation of 20 imputation data sets from multiple chained regression sequences, machine learning boosted regression initially identified 21 biomarkers associated with depression. Using traditional logistic regression methods, including controlling for possible confounders and moderators, a final set of three biomarkers were selected. The final three biomarkers from the novel hybrid variable selection methodology were red cell distribution width (OR 1.15; 95% CI 1.01, 1.30, serum glucose (OR 1.01; 95% CI 1.00, 1.01 and total bilirubin (OR 0.12; 95% CI 0.05, 0.28. Significant interactions were found between total bilirubin with Mexican American/Hispanic group (p = 0.016, and current smokers (p<0.001.The systematic use of a hybrid methodology for variable selection, fusing data mining techniques using a machine learning algorithm with traditional statistical modelling, accounted for missing data and complex survey sampling
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Heerman, William J; Taylor, Julie Lounds; Wallston, Kenneth A; Barkin, Shari L
2017-05-01
Objectives Childhood obesity prevention and treatment depends, in part, on parents acting as agents of change for their children. Our objective was to measure the associations between parenting self-efficacy, parent depressive symptoms, and preschool child behaviors that support healthy growth. Methods We performed a cross-sectional analysis of baseline data from a randomized controlled trial. Parenting self-efficacy was measured using a 5-item version of the Parenting Sense of Competence (PSOC-5) scale (α= 0.8). Parent depressive symptoms were measured using the Center for Epidemiological Studies-Depression (CESD) scale. Child outcomes included diet (24 h diet recall), physical activity (accelerometry), sleep (parent-report), and media use during meals (parent-report). We performed separate multiple linear regressions for each outcome controlling for other covariates. Results The sample consisted of 601 parent-child pairs. Median child age was 4.3 (IQR 3.6-5.1) years; median child body mass index (BMI) percentile was 79.1% (IQR 66.8-88.5%); 90% of children were Hispanic/Latino, and 6% of children were non-Hispanic Black. Median parent age was 31.5 (IQR 27.6-36.0) years; 22% of parents met criteria for depression. Parenting self-efficacy (median PSOC-5 25; IQR 24-28) was negatively correlated with depressive symptoms (ρ = -0.16; p self-efficacy was associated with duration of child's sleep and fewer meals eaten in front of a TV (p self-efficacy and parental depressive symptoms on child sleep duration (p self-efficacy and depressive symptoms were not significantly associated with child physical activity or child diet. Conclusions In this minority population, higher parenting self-efficacy was associated with longer child sleep and fewer meals in front the TV, but parent depressive symptoms mitigated that protective effect for child sleep duration.
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Adjaye-Gbewonyo, Kafui; Avendano, Mauricio; Subramanian, S V; Kawachi, Ichiro
2016-11-01
Research suggests that income inequality may detrimentally affect mental health. We examined the relationship between district-level income inequality and depressive symptoms among individuals in South Africa-one of the most unequal countries in the world-using longitudinal data from Wave 1 (2008) and Wave 3 (2012) of the National Income Dynamics Study. Depressive symptoms were measured using the Center for Epidemiological Studies of Depression Short Form while district Gini coefficients were estimated from census and survey sources. Age, African population group, being single, being female, and having lower household income were independently associated with higher depressive symptoms. However, in longitudinal, fixed-effects regression models controlling for several factors, district-level Gini coefficients were not significantly associated with depressive symptoms scores. Our results do not support the hypothesis of a causal link between income inequality and depressive symptoms in the short-run. Possible explanations include the high underlying levels of inequality in all districts, or potential lags in the effect of inequality on depression. Copyright © 2016 Elsevier Ltd. All rights reserved.
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Regression analysis understanding and building business and economic models using Excel
Wilson, J Holton
2012-01-01
The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field. This book will teach you the essential elements of building and understanding regression models in a business/economic context in an intuitive manner. The authors take a non-theoretical treatment that is accessible even if you have a limited statistical background. It is specifically designed to teach the correct use of regression, while advising you of its limitations and teaching about common pitfalls. This book describe
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Sehatzadeh, Shayan; Tu, Hong Anh; Palimaka, Stefan; Yap, Belinda; O'Reilly, Daria; Bowen, Jim; Higgins, Caroline; Holubowich, Corinne
2016-01-01
Background To date, several randomized controlled trials (RCTs) have shown the efficacy of repetitive transcranial magnetic stimulation (rTMS) in the treatment of major depression. Objective This analysis examined the antidepressant efficacy of rTMS in patients with treatment-resistant unipolar depression. Methods A literature search was performed for RCTs published from January 1, 1994, to November 20, 2014. The search was updated on March 1, 2015. Two independent reviewers evaluated the abstracts for inclusion, reviewed full texts of eligible studies, and abstracted data. Meta-analyses were conducted to obtain summary estimates. The primary outcome was changes in depression scores measured by the Hamilton Rating Scale for Depression (HRSD), and we considered, a priori, the mean difference of 3.5 points to be a clinically important treatment effect. Remission and response to the treatment were secondary outcomes, and we calculated number needed to treat on the basis of these outcomes. We examined the possibility of publication bias by constructing funnel plots and by Begg's and Egger's tests. A meta-regression was undertaken to examine the effect of specific rTMS technical parameters on the treatment effects. Results Twenty-three RCTs compared rTMS with sham, and six RCTs compared rTMS with electroconvulsive therapy (ECT). Trials of rTMS versus sham showed a statistically significant improvement in depression scores with rTMS (weighted mean difference [WMD] 2.31, 95% CI 1.19–3.43; P transcranial magnetic stimulation had a small short-term effect for improving depression in comparison with sham, but follow-up studies did not show that the small effect will continue for longer periods. PMID:27099642
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Kobayashi, Tohru
2017-01-01
Objective The present study aimed to explore the effects of sense of coherence (SOC) on depressive symptoms after employment in the Japan Self-Defense Force among male young adults.Methods In April 2013, 953 new male members of the Japan Ground Self-Defense Force (JGSDF; age range: 18-24 years) participated in this study. Depressive symptoms were assessed using the 20-item version of the Center for Epidemiologic Studies Depression scale (CES-D), which defines a score of 16 or greater as indicating the presence of depressive symptoms. The SOC score was assessed using a 13-item version (SOC-13), in which a score of 59 or greater is as assigned to the high score group. A second survey was conducted two months later, in June of 2013. For the analysis, we selected participants without depressive symptoms at the baseline survey. The association between SOC scores at baseline and the onset of depressive symptoms was examined using a logistic regression analysis.Results The final analysis was conducted on data on 389 new male members of the JGSDF. The logistic regression analysis showed a significant reduction in the onset of depressive symptoms among the group with high SOC scores (odds ratios: 0.59, 95% confidence interval=0.35-0.98) as compared with that observed in the group with low SOC scores.Conclusions The present study clarified that SOC among male young adults has a buffering effect on the risk of developing depressive symptoms after employment in the Japan Self-Defense Force. Our results may be useful for improving the mental health of new employees.
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Association of depression with social support and self-esteem among HIV positives.
Jagannath, Vinita; Unnikrishnan, B; Hegde, Supriya; Ramapuram, John T; Rao, S; Achappa, B; Madi, D; Kotian, M S
2011-12-01
Depression in Human Immunodeficiency Virus (HIV) positives has implications such as poor drug compliance, lower quality of life, faster progression to full blown Acquired Immunodeficiency Syndrome (AIDS) and higher mortality. To assess depression, social support and self-esteem in HIV positives and to find out the association of depression with social support and self-esteem among HIV positive patients. Kasturba Medical College (KMC) Hospital, a tertiary care hospital, Mangalore, India and cross-sectional design. Study constituted of 105 HIV positive subjects; depression was assessed using BDI (Beck depression inventory), social support was assessed using Lubben social network scale and self-esteem was assessed using Rosenberg self-esteem scale. Kappa statistics was used to measure the agreement of depression assessed by BDI with clinical diagnosis of depression. Logistic regression analyses were done to find out predictors of depression among HIV positives. All analyses were conducted using Statistical Package for Social Sciences (SPSS) version 11.5. Depression was found to be present in 43.8% of HIV positives. Among the study subjects, 10.5% had high risk for isolation and low self-esteem was found only among 5.7%. In univariate analysis both gender and self-esteem were significantly associated with depression whereas in multivariate analysis only self-esteem was found to be significantly associated with depression. The present study shows a high prevalence of depression in HIV positive patients along with the importance of self-esteem. Copyright © 2011 Elsevier B.V. All rights reserved.
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Appetite and Weight Loss Symptoms in Late-Life Depression Predict Dementia Outcomes.
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.
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Depression following acute coronary syndrome
DEFF Research Database (Denmark)
Joergensen, Terese Sara Hoej; Maartensson, Solvej; Ibfelt, Else Helene
2016-01-01
PURPOSE: Depression is common following acute coronary syndrome, and thus, it is important to provide knowledge to improve prevention and detection of depression in this patient group. The objectives of this study were to examine: (1) whether indicators of stressors and coping resources were risk...... factors for developing depression early and later after an acute coronary syndrome and (2) whether prior depression modified these associations. METHODS: The study was a register-based cohort study, which includes 87,118 patients with a first time diagnosis of acute coronary syndrome during the period...... 2001-2009 in Denmark. Cox regression models were used to analyse hazard ratios (HRs) for depression. RESULTS: 1.5 and 9.5 % develop early (≤30 days) and later (31 days-2 years) depression after the acute coronary syndrome. Among all patients with depression, 69.2 % had first onset depression, while 30...
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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.
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Leucht, Stefan; Leucht, Claudia; Huhn, Maximilian; Chaimani, Anna; Mavridis, Dimitris; Helfer, Bartosz; Samara, Myrto; Rabaioli, Matteo; Bächer, Susanne; Cipriani, Andrea; Geddes, John R; Salanti, Georgia; Davis, John M
2017-10-01
Antipsychotic drug efficacy may have decreased over recent decades. The authors present a meta-analysis of all placebo-controlled trials in patients with acute exacerbations of schizophrenia, and they investigate which trial characteristics have changed over the years and which are moderators of drug-placebo efficacy differences. The search included multiple electronic databases. The outcomes were overall efficacy (primary outcome); responder and dropout rates; positive, negative, and depressive symptoms; quality of life; functioning; and major side effects. Potential moderators of efficacy were analyzed by meta-regression. The analysis included 167 double-blind randomized controlled trials with 28,102 mainly chronic participants. The standardized mean difference (SMD) for overall efficacy was 0.47 (95% credible interval 0.42, 0.51), but accounting for small-trial effects and publication bias reduced the SMD to 0.38. At least a "minimal" response occurred in 51% of the antipsychotic group versus 30% in the placebo group, and 23% versus 14% had a "good" response. Positive symptoms (SMD 0.45) improved more than negative symptoms (SMD 0.35) and depression (SMD 0.27). Quality of life (SMD 0.35) and functioning (SMD 0.34) improved even in the short term. Antipsychotics differed substantially in side effects. Of the response predictors analyzed, 16 trial characteristics changed over the decades. However, in a multivariable meta-regression, only industry sponsorship and increasing placebo response were significant moderators of effect sizes. Drug response remained stable over time. Approximately twice as many patients improved with antipsychotics as with placebo, but only a minority experienced a good response. Effect sizes were reduced by industry sponsorship and increasing placebo response, not decreasing drug response. Drug development may benefit from smaller samples but better-selected patients.
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Lifetime socio-economic position and depression
DEFF Research Database (Denmark)
Osler, Merete; Bruunsgaard, Helle; Mortensen, Erik Lykke
2015-01-01
biomarkers explained any associations. Methods: A cohort of 2482 Danish men born in 1953 with information from birth, and conscript board examinations was followed-up with assessment of depressive mood and blood sampling in 2010. Simple and multiple linear regression were used to investigate associations....... These covariables were also associated with depressive mood and when they were included into the regression model together with life time SEP, the β-estimates for the latter attenuated, when smoking, alcohol and BMI were entered, while the inclusion of cognitive function and the inflammatory biomarkers had limited...
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Micali, Nadia; Simonoff, Emily; Treasure, Janet
2011-06-01
This study investigated the effect of past depression, past and current eating disorders (ED) on perinatal anxiety and depression in a large general population cohort of pregnant women, the Avon Longitudinal Study of Parents and Children (ALSPAC). Anxiety and depression were measured during and after pregnancy in 10,887 women using the Crown-Crisp Experiential Inventory and Edinburgh Postnatal Depression Scale. Women were grouped according to depression and ED history: past ED with (n = 123) and without past depression (n = 50), pregnancy ED symptoms with (n = 77) and without past depression (n = 159), past depression only (n = 818) and controls (n = 9,660). We compared the course of depression and anxiety with linear mixed-effect regression models; and probable depressive and anxiety disorders using logistic regression. Women with both past depression and past/current ED had high anxiety and depression across time perinatally; this was most marked in the group with pregnancy ED symptoms and past depression (b coefficient:5.1 (95% CI: 4.1-6.1), p depressive and anxiety disorder compared to controls. At 8 months post-partum pregnancy ED symptoms and/or past depression conferred the highest risk for a probable depressive and anxiety disorder. Data were based on self-report. There was some selective attrition. Pregnancy ED symptoms and past depression have an additive effect in increasing the risk for depression and anxiety perinatally. Screening at risk women for anxiety and depression in the perinatal period might be beneficial. Copyright © 2010 Elsevier B.V. All rights reserved.
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International Nuclear Information System (INIS)
Sarrach, D.; Strohner, P.
1986-01-01
The Gauss-Newton algorithm has been used to evaluate tracer binding parameters of RIA by nonlinear regression analysis. The calculations were carried out on the K1003 desk computer. Equations for simple binding models and its derivatives are presented. The advantages of nonlinear regression analysis over linear regression are demonstrated
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Regression analysis for the social sciences
Gordon, Rachel A
2010-01-01
The book provides graduate students in the social sciences with the basic skills that they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. thorough integration of teaching statistical theory with teaching data processing and analysis. teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set.
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DEFF Research Database (Denmark)
Schoormans, Dounya; van de Poll-Franse, Lonneke; Vissers, Pauline
2017-01-01
PURPOSE: To examine the associations between pharmaceutically treated anxiety and depression present in the year prior to breast cancer diagnosis and the risk of incident cardiovascular disease (CVD), while controlling for traditional cardiovascular risk factors and clinical characteristics...... adjustment for depression, traditional cardiovascular risk factors, and clinical characteristics......., anxiety, and depression. By multivariable Cox regression analysis, we examined the risk associated with pharmaceutically treated anxiety and depression for developing CVD after cancer diagnosis, adjusting for age, pharmaceutically treated hypertension, hypercholesterolemia, and diabetes mellitus...
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Sanghera, Raman; Wong, Sabrina T; Brown, Helen
2015-07-22
Depression is the leading cause of disability for childbearing women. We examined three specific research questions among Punjabi-speaking women residing in the Fraser Health Authority: 1) What are the prevalence rates of prenatal depressive symptoms? 2) Do Punjabi-speaking women have a higher likelihood of reporting depressive symptoms compared to English-speaking women after controlling for age, level of education and financial worries, and 3) Given the same level of exposure to level of education and financial worries, do Punjabi-speaking women have the same likelihood of reporting depressive symptoms? Data originated from the Fraser Health Authority prenatal registration database consisting of pregnant women (n = 9684) who completed a prenatal registration form between June 2009 and August 2010; 9.1 % indicated speaking Punjabi. The Whooley Depression Screen measured depressive symptoms. Chi-square tests and logistic multiple regression were used to examine the rates of reporting depressive symptoms among Punjabi-speaking women compared to English-speaking women. Punjabi-speaking women are at a higher risk for perinatal depressive symptoms. Women needing an interpreter were more likely to report prenatal depressive symptoms compared to English-speaking women. All registrants who reported financial worries had four and a half times the odds of reporting depressive symptoms. The impact of financial worries was significantly greater in the English-speaking women compared to the Punjabi-speaking women needing an interpreter. Using an established screening device, Punjabi-speaking women were found to be at higher risk for prenatal depressive symptoms.
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Jakubowski, J.; Stypulkowski, J. B.; Bernardeau, F. G.
2017-12-01
The first phase of the Abu Hamour drainage and storm tunnel was completed in early 2017. The 9.5 km long, 3.7 m diameter tunnel was excavated with two Earth Pressure Balance (EPB) Tunnel Boring Machines from Herrenknecht. TBM operation processes were monitored and recorded by Data Acquisition and Evaluation System. The authors coupled collected TBM drive data with available information on rock mass properties, cleansed, completed with secondary variables and aggregated by weeks and shifts. Correlations and descriptive statistics charts were examined. Multivariate Linear Regression and CART regression tree models linking TBM penetration rate (PR), penetration per revolution (PPR) and field penetration index (FPI) with TBM operational and geotechnical characteristics were performed for the conditions of the weak/soft rock of Doha. Both regression methods are interpretable and the data were screened with different computational approaches allowing enriched insight. The primary goal of the analysis was to investigate empirical relations between multiple explanatory and responding variables, to search for best subsets of explanatory variables and to evaluate the strength of linear and non-linear relations. For each of the penetration indices, a predictive model coupling both regression methods was built and validated. The resultant models appeared to be stronger than constituent ones and indicated an opportunity for more accurate and robust TBM performance predictions.
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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.
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Increased risk for depression after breast cancer
DEFF Research Database (Denmark)
Suppli, Nis P; Johansen, Christoffer; Christensen, Jane
2014-01-01
PURPOSE: To investigate the risk for first depression, assessed as incident hospital contacts for depression and incident use of antidepressants, among women with breast cancer. PATIENTS AND METHODS: Danish national registries were used to identify 1,997,669 women with no diagnosis of cancer...... or a major psychiatric disorder. This cohort was followed from 1998 to 2011 for a diagnosis of breast cancer and for the two outcomes, hospital contact for depression and redeemed prescriptions for antidepressants. Rate ratios for incident hospital contacts for depression and incident use of antidepressants...... were estimated with Poisson regression models. Multivariable Cox regression was used to evaluate factors associated with the two outcomes among patients with breast cancer. RESULTS: We identified 44,494 women with breast cancer. In the first year after diagnosis, the rate ratio for a hospital contact...
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Depression and Anxiety Disorders among Hospitalized Women with Breast Cancer.
Directory of Open Access Journals (Sweden)
Neomi Vin-Raviv
Full Text Available To document the prevalence of depression and anxiety disorders, and their associations with mortality among hospitalized breast cancer patients.We examined the associations between breast cancer diagnosis and the diagnoses of anxiety or depression among 4,164 hospitalized breast cancer cases matched with 4,164 non-breast cancer controls using 2006-2009 inpatient data obtained from the Nationwide Inpatient Sample database. Conditional logistic regression models were used to compute odds ratios (ORs and 95% confidence intervals (CI for the associations between breast cancer diagnosis and diagnoses of anxiety or depression. We also used binary logistic regression models to examine the association between diagnoses of depression or anxiety, and in-hospital mortality among breast cancer patients.We observed that breast cancer cases were less likely to have a diagnosis of depression (OR=0.63, 95% CI: 0.52-0.77, and less likely to have a diagnosis of anxiety (OR=0.68, 95% CI: 0.52-0.90 compared with controls. This association remained after controlling for race/ethnicity, residential income, insurance and residential region. Breast cancer patients with a depression diagnosis also had lower mortality (OR=0.69, 95% CI: 0.52-0.89 compared with those without a depression diagnosis, but there was no significant difference in mortality among those with and without anxiety diagnoses.Diagnoses of depression and anxiety in breast cancer patients were less prevalent than expected based on our analysis of hospitalized breast cancer patients and matched non-breast cancer controls identified in the NIS dataset using ICD-9 diagnostic codes. Results suggest that under-diagnosis of mental health problems may be common among hospitalized women with a primary diagnosis of breast cancer. Future work may fruitfully explore reasons for, and consequences of, inappropriate identification of the mental health needs of breast cancer patients.
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Inferential Style, School Teachers, and Depressive Symptoms in College Students
Directory of Open Access Journals (Sweden)
Caroline M. Pittard,
2018-04-01
Full Text Available Depressive symptoms affect around half of students at some point during college. According to the hopelessness theory of depression, making negative inferences about stressful events is a vulnerability for developing depression. Negative and socioemotional teaching behavior can be stressors that are associated with depression in school students. First-time college freshmen completed the Cognitive Style Questionnaire (CSQ, Teaching Behavior Questionnaire (TBQ, and Center for Epidemiological Studies Depression Scale (CES-D. While completing the TBQ, participants reported on a teacher from prior education to college. Multiple regression analysis found significant effects of the independent variables (four teaching behavior types, inferential style, and interactions between the four teaching behavior types and inferential style on the dependent variable (depressive symptoms. More specifically, negative and socio-emotional teaching behavior were positively associated with depressive symptoms and instructional and organizational teaching behavior were negatively associated with depressive symptoms. Both organizational and negative teaching behavior interacted significantly with inferential style. Organizational and negative teaching behavior shared different relationships with depressive symptoms depending upon an individual‟s level of inferential style. Promotion of instructional and organizational teaching behavior in school as well as the reduction of negative teaching behavior may be useful in reducing students‟ depressive symptoms.
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Composite marginal quantile regression analysis for longitudinal adolescent body mass index data.
Yang, Chi-Chuan; Chen, Yi-Hau; Chang, Hsing-Yi
2017-09-20
Childhood and adolescenthood overweight or obesity, which may be quantified through the body mass index (BMI), is strongly associated with adult obesity and other health problems. Motivated by the child and adolescent behaviors in long-term evolution (CABLE) study, we are interested in individual, family, and school factors associated with marginal quantiles of longitudinal adolescent BMI values. We propose a new method for composite marginal quantile regression analysis for longitudinal outcome data, which performs marginal quantile regressions at multiple quantile levels simultaneously. The proposed method extends the quantile regression coefficient modeling method introduced by Frumento and Bottai (Biometrics 2016; 72:74-84) to longitudinal data accounting suitably for the correlation structure in longitudinal observations. A goodness-of-fit test for the proposed modeling is also developed. Simulation results show that the proposed method can be much more efficient than the analysis without taking correlation into account and the analysis performing separate quantile regressions at different quantile levels. The application to the longitudinal adolescent BMI data from the CABLE study demonstrates the practical utility of our proposal. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.
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Welles, Seth L; Patel, Falguni; Chilton, Mariana
2017-04-01
Depression is a barrier to employment among low-income caregivers receiving Temporary Assistance for Needy Families (TANF), and adverse childhood experiences (ACEs) and exposure to community violence (ECV) are often associated with depression. Using baseline data of 103 TANF caregivers of young children of the Building Wealth and Health Network Randomized Controlled Trial Pilot, this study investigated associations of two forms of employment-related resilience-self-efficacy and employment hope-with exposure to adversity/violence and depression, measured by the Center for Epidemiologic Studies Depression (CES-D) short form. Using contingency table analysis and regression analysis, we identified associations between ACEs and depression [OR = 1.70 (1.25-2.32), p = 0.0008] and having high levels of ECV with a 6.9-fold increased risk for depression when compared with those without ECV [OR = 6.86 (1.43-33.01), p = 0.02]. While self-efficacy and employment hope were significantly associated with depression, neither resilience factor impacted the association of ACE level and depression, whereas self-efficacy and employment hope modestly reduced the associations between ECV and depression, 13 and 16%, respectively. Results suggest that self-efficacy and employment hope may not have an impact on the strong associations between adversity, violence, and depression.
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Clinical Use of Curcumin in Depression: A Meta-Analysis.
Ng, Qin Xiang; Koh, Shawn Shao Hong; Chan, Hwei Wuen; Ho, Collin Yih Xian
2017-06-01
There is growing interest in the use of curcumin, a plant polyphenol with potent anti-inflammatory, anti-oxidant, and neuroprotective properties, as a novel antidepressant. Clinical trials have yielded conflicting conclusions pertaining to its effectiveness in depression. A meta-analysis of the topic, which has not been done until now, is therefore necessary to summarize current evidence and generate hypotheses for further research. Using the keywords [curcumin OR diferuloylmethane OR curcuminoid OR turmeric OR Indian saffron] AND [depression OR MDD OR suicide], a preliminary search on the PubMed, Ovid, Clinical Trials Register of the Cochrane Collaboration Depression, Anxiety and Neurosis Group (CCDANTR), and Cochrane Field for Complementary Medicine database yielded 2081 articles published in English between January 1, 1960, and August 1, 2016. Six clinical trials with a total of 377 patients were reviewed, comparing the use of curcumin to placebo. In patients with depression, the pooled standardized mean difference from baseline Hamilton Rating Scale for Depression scores (pooled standardized mean difference -0.344, 95% confidence interval -0.558 to -0.129; P = .002) support the significant clinical efficacy of curcumin in ameliorating depressive symptoms. Significant anti-anxiety effects were also reported in 3 of the trials. Notably, no adverse events were reported in any of the trials. Most trials had a generally low risk of bias, except for an open trial of curcumin and a single-blinded study. Because of the small number of studies available, a funnel plot or sensitivity analysis was not possible. Evidence on the long-term efficacy and safety of curcumin is also limited as the duration of all available studies ranged from 4 to 8 weeks. Curcumin appears to be safe, well-tolerated, and efficacious among depressed patients. More robust randomized controlled trials with larger sample sizes and follow-up studies carried out over a longer duration should be
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Treating experimental data of inverse kinetic method by unitary linear regression analysis
International Nuclear Information System (INIS)
Zhao Yusen; Chen Xiaoliang
2009-01-01
The theory of treating experimental data of inverse kinetic method by unitary linear regression analysis was described. Not only the reactivity, but also the effective neutron source intensity could be calculated by this method. Computer code was compiled base on the inverse kinetic method and unitary linear regression analysis. The data of zero power facility BFS-1 in Russia were processed and the results were compared. The results show that the reactivity and the effective neutron source intensity can be obtained correctly by treating experimental data of inverse kinetic method using unitary linear regression analysis and the precision of reactivity measurement is improved. The central element efficiency can be calculated by using the reactivity. The result also shows that the effect to reactivity measurement caused by external neutron source should be considered when the reactor power is low and the intensity of external neutron source is strong. (authors)
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Regression analysis of informative current status data with the additive hazards model.
Zhao, Shishun; Hu, Tao; Ma, Ling; Wang, Peijie; Sun, Jianguo
2015-04-01
This paper discusses regression analysis of current status failure time data arising from the additive hazards model in the presence of informative censoring. Many methods have been developed for regression analysis of current status data under various regression models if the censoring is noninformative, and also there exists a large literature on parametric analysis of informative current status data in the context of tumorgenicity experiments. In this paper, a semiparametric maximum likelihood estimation procedure is presented and in the method, the copula model is employed to describe the relationship between the failure time of interest and the censoring time. Furthermore, I-splines are used to approximate the nonparametric functions involved and the asymptotic consistency and normality of the proposed estimators are established. A simulation study is conducted and indicates that the proposed approach works well for practical situations. An illustrative example is also provided.
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Night Shift Work and Risk of Depression: Meta-analysis of Observational Studies.
Lee, Aeyoung; Myung, Seung Kwon; Cho, Jung Jin; Jung, Yu Jin; Yoon, Jong Lull; Kim, Mee Young
2017-07-01
This study aimed to assess whether night shift work is associated with the risk of depression by using a meta-analysis of observational studies. We searched PubMed and EMBASE in August, 2016 to locate eligible studies and investigated the association between night shift work and the risk of depression, reporting outcome measures with adjusted odds ratios (ORs) or relative risks (RRs) and 95% confidence intervals (CIs). In the meta-analysis of a total of 11 observational studies with 9 cross-sectional study, 1 longitudinal study, and 1 cohort study, night shift work was significantly associated with an increased risk of depression (OR/RR, 1.43; 95% CI, 1.24-1.64; I² = 78.0%). Also, subgroup meta-analyses by gender, night shift work duration, type of occupation, continent, and type of publication showed that night shift work was consistently associated with the increased risk of depression. The current meta-analysis suggests that night shift work is associated with the increased risk of depression. However, further large prospective cohort studies are needed to confirm this association. © 2017 The Korean Academy of Medical Sciences.
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Prevalence of Depression among University Students: A Systematic Review and Meta-Analysis Study
Diana Sarokhani; Ali Delpisheh; Yousef Veisani; Mohamad Taher Sarokhani; Rohollah Esmaeli Manesh; Kourosh Sayehmiri
2013-01-01
Introduction. Depression is one of the four major diseases in the world and is the most common cause of disability from diseases. The aim of this study is to estimate the prevalence of depression among Iranian university students using meta-analysis method. Materials and Methods. Keyword depression was searched in electronic databases such as PubMed, Scopus, MAGIran, Medlib, and SID. Data was analyzed using meta-analysis (random-effects model). Heterogeneity of studies was assessed using ...
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Credit Scoring Problem Based on Regression Analysis
Khassawneh, Bashar Suhil Jad Allah
2014-01-01
ABSTRACT: This thesis provides an explanatory introduction to the regression models of data mining and contains basic definitions of key terms in the linear, multiple and logistic regression models. Meanwhile, the aim of this study is to illustrate fitting models for the credit scoring problem using simple linear, multiple linear and logistic regression models and also to analyze the found model functions by statistical tools. Keywords: Data mining, linear regression, logistic regression....
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Predictors of postpartum depression.
Katon, Wayne; Russo, Joan; Gavin, Amelia
2014-09-01
To examine sociodemographic factors, pregnancy-associated psychosocial stress and depression, health risk behaviors, prepregnancy medical and psychiatric illness, pregnancy-related illnesses, and birth outcomes as risk factors for post-partum depression (PPD). A prospective cohort study screened women at 4 and 8 months of pregnancy and used hierarchical logistic regression analyses to examine predictors of PPD. The study sample include 1,423 pregnant women at a university-based high risk obstetrics clinic. A score of ≥10 on the Patient Health Questionnaire-9 (PHQ-9) indicated clinically significant depressive symptoms. Compared with women without significant postpartum depressive symptoms, women with PPD were significantly younger (pdepressive symptoms (pdepression case finding for pregnant women.
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Prevalence of depressive symptoms among non insulin treated Greek type 2 diabetic subjects
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Gikas Aristofanis
2008-10-01
Full Text Available Abstract Background Depression is common among diabetic subjects. We conducted the present study to estimate the prevalence of depression in subjects with type 2 diabetes (T2D in Greece. Methods The study sample consisted of 320 T2D subjects without overt macrovascular disease attending the diabetes outpatient clinic of our hospital, from June 2007 to December 2007. Depressive symptoms were measured using the 21-item Beck Depression Inventory, modified for use in diabetic subjects. Results Of the study subjects 107 (33.4% reported elevated depressive symptoms. More women than men with diabetes reported symptoms of depression (48.4% vs. 12.7%, P 1c (P = 0.04, and duration of diabetes (P = 0.004. In the male study group, univariate linear regression analysis showed no significant relationships between depressive symptoms and the testing variables. Conclusion The prevalence of depression in Greek T2D subjects is high. Diabetic female subjects showed increased levels of depressive symptoms compared with male subjects. Independent risk factors of depressive symptoms in diabetic female subjects were diabetes duration and glycemic control.
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MULGRES: a computer program for stepwise multiple regression analysis
A. Jeff Martin
1971-01-01
MULGRES is a computer program source deck that is designed for multiple regression analysis employing the technique of stepwise deletion in the search for most significant variables. The features of the program, along with inputs and outputs, are briefly described, with a note on machine compatibility.
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Real-time regression analysis with deep convolutional neural networks
Huerta, E. A.; George, Daniel; Zhao, Zhizhen; Allen, Gabrielle
2018-01-01
We discuss the development of novel deep learning algorithms to enable real-time regression analysis for time series data. We showcase the application of this new method with a timely case study, and then discuss the applicability of this approach to tackle similar challenges across science domains.
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Wang, D Z; Wang, C; Shen, C F; Zhang, Y; Zhang, H; Song, G D; Xue, X D; Xu, Z L; Zhang, S; Jiang, G H
2017-05-10
We described the time trend of acute myocardial infarction (AMI) from 1999 to 2013 in Tianjin incidence rate with Cochran-Armitage trend (CAT) test and linear regression analysis, and the results were compared. Based on actual population, CAT test had much stronger statistical power than linear regression analysis for both overall incidence trend and age specific incidence trend (Cochran-Armitage trend P valuelinear regression P value). The statistical power of CAT test decreased, while the result of linear regression analysis remained the same when population size was reduced by 100 times and AMI incidence rate remained unchanged. The two statistical methods have their advantages and disadvantages. It is necessary to choose statistical method according the fitting degree of data, or comprehensively analyze the results of two methods.
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The Role of Depression and Attachment Styles in Predicting Students' Addiction to Cell Phones.
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.
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Parental 'affectionless control' as an antecedent to adult depression: a risk factor refined.
Mackinnon, A; Henderson, A S; Andrews, G
1993-02-01
It has been well established that individuals with a history of depression report their parents as being less caring and more overprotective of them than do controls. 'Affectionless control' in childhood has thus been proposed as a risk factor for depression. Evidence is presented from a logistic regression analysis of data from a volunteer community sample that lack of care rather than over-protection is the primary risk factor. No evidence for an interaction effect of low care and over-protection was found.
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Directory of Open Access Journals (Sweden)
Sandipan Bhattacharjee
2018-01-01
Full Text Available Little is known regarding depression treatment patterns and predictors among older adults with comorbid Parkinson's disease and depression (dPD in the United States (US. The objective of this study was to assess the patterns and predictors of depression treatment among older adults with dPD in the US. We adopted a cross-sectional study design by pooling multiple-year data (2005–2011 from the National Ambulatory Medical Care Survey (NAMCS and the outpatient department of the National Hospital Ambulatory Medical Care Survey (NHAMCS. The final study sample consisted of visits by older adults with dPD. Depression treatment was defined as antidepressant use with or without psychotherapy. To identify predictors of depression treatment, multivariate logistic regression analysis was conducted adjusting for predisposing, enabling, and need factors. Individuals with dPD and polypharmacy were 74% more likely to receive depression treatment (odds ratio = 1.743, 95% CI 1.376–2.209, while dPD subjects with comorbid chronic conditions were 44% less likely (odds ratio = 0.559, 95% CI 0.396–0.790 to receive depression treatment. Approximately six out of ten older adults with PD and depression received depression treatment. Treatment options for dPD are underutilized in routine clinical practice, and further research should explore how overall medical complexity presents a barrier to depression treatment.
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Directory of Open Access Journals (Sweden)
Jens-Oliver Bock
Full Text Available OBJECTIVE: The objective of this study was to describe and analyze the effects of depression on health care utilization and costs in a sample of multimorbid elderly patients. METHOD: This cross-sectional analysis used data of a prospective cohort study, consisting of 1,050 randomly selected multimorbid primary care patients aged 65 to 85 years. Depression was defined as a score of six points or more on the Geriatric Depression Scale (GDS-15. Subjects passed a geriatric assessment, including a questionnaire for health care utilization. The impact of depression on health care costs was analyzed using multiple linear regression models. A societal perspective was adopted. RESULTS: Prevalence of depression was 10.7%. Mean total costs per six-month period were €8,144 (95% CI: €6,199-€10,090 in patients with depression as compared to €3,137 (95% CI: €2,735-€3,538; p<0.001 in patients without depression. The positive association between depression and total costs persisted after controlling for socio-economic variables, functional status and level of multimorbidity. In particular, multiple regression analyses showed a significant positive association between depression and pharmaceutical costs. CONCLUSION: Among multimorbid elderly patients, depression was associated with significantly higher health care utilization and costs. The effect of depression on costs was even greater than reported by previous studies conducted in less morbid patients.
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[Relationship of insight with depression and suicidal ideation in psychotic disorders].
Patelaros, E; Zournatzis, E; Kontstantakopoulos, G
2015-01-01
The associations of insight into psychosis (i.e., awareness of illness) with clinical variables have been examined by a great number of studies. Most of these studies revealed that the level of insight is negatively correlated with psychotic symptoms but positively correlated with depression and suicidal ideation. The aim of this study was to test these findings in a Greek sample of patients. Forty-three outpatients (30 men and 13 women) with schizophrenia or delusional disorder being followed up at the Mental Health Centre of Kavala took part in the study. Patients with bipolar or schizoaffective disorder were excluded. Patients' mean age was 40.7 years and the mean duration of illness was 18.67 years. All participants were under treatment and clinically stable at the time of the study. We used the Positive and Negative Syndrome Scale (PANSS) for the assessment of positive and negative symptoms, the Schedule for the Assessment of Insight-Expanded (SAI-E) to assess the insight into psychosis, and the Montgomery-Asberg Depression Rating Scale (MADRS) for the evaluation of depression recording separately the score for item 10 as an estimate of suicidal ideation. All the scales used have been adapted to Greek population. We used Spearman rho coefficient to assess the strength of correlations between the scales because the distributions of some scores were not normal. In order to assess the predictive value of insight for depression and suicidal ideation, we used hierarchical linear regression analysis. Correlation coefficients between SAI-E and the clinical scales of psychopathology, depression and suicide ideation was statistically significant at the pregression analysis showed that our model of positive and negative psychopathology and insight explained 47.4% of the variance of depression and 32.2% of the variance of suicidal ideation. The predictive value of insight was critically important, because only after the introduction of the SAI-E score in the analysis our
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Directory of Open Access Journals (Sweden)
Runjun Phookun
2013-04-01
Full Text Available The renewal process has been formulated on the basis of hazard rate of time between two consecutive occurrences of depressive episodes. The probabilistic analysis of depressive episodes can be performed under various forms of hazard rate viz. constant, linear etc. In this paper we are considering a particular form of hazard rate which is h(x=(b-x^- where b is a constant, x is the time between two consecutive episodes of depression. As a result time between two consecutive occurrences of depressive episodes follows uniform distribution in (a,b The distribution of range i.e. the difference between the longest and the shortest occurrence time to a depressive episode, and the expected number of depressive episodes in a random interval of time are obtained for the distribution under consideration. If the closed form of expression for the waiting time distribution is not available, then the Laplace transformation is used for the study of probabilistic analysis. Hazard rate of occurrence and expected number of depressive episodes have been presented graphically
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Sabes-Figuera, Ramon; McCrone, Paul; Kendricks, Antony
2013-04-01
Economic evaluation analyses can be enhanced by employing regression methods, allowing for the identification of important sub-groups and to adjust for imperfect randomisation in clinical trials or to analyse non-randomised data. To explore the benefits of combining regression techniques and the standard Bayesian approach to refine cost-effectiveness analyses using data from randomised clinical trials. Data from a randomised trial of anti-depressant treatment were analysed and a regression model was used to explore the factors that have an impact on the net benefit (NB) statistic with the aim of using these findings to adjust the cost-effectiveness acceptability curves. Exploratory sub-samples' analyses were carried out to explore possible differences in cost-effectiveness. Results The analysis found that having suffered a previous similar depression is strongly correlated with a lower NB, independent of the outcome measure or follow-up point. In patients with previous similar depression, adding an selective serotonin reuptake inhibitors (SSRI) to supportive care for mild-to-moderate depression is probably cost-effective at the level used by the English National Institute for Health and Clinical Excellence to make recommendations. This analysis highlights the need for incorporation of econometric methods into cost-effectiveness analyses using the NB approach.
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Murayama, Hiroshi; Nofuji, Yu; Matsuo, Eri; Nishi, Mariko; Taniguchi, Yu; Fujiwara, Yoshinori; Shinkai, Shoji
2015-01-01
While the importance of distinguishing between bonding and bridging social capital is now understood, evidence remains sparse on their contextual effects on health. We examined the associations of neighborhood bonding and bridging social capital with depressive mood among older Japanese. A questionnaire survey of all community residents aged 65 and older in the city of Yabu, Hyogo Prefecture, Japan was conducted in July and August 2012. Bonding and bridging social capital were assessed by evaluating individual homogeneous and heterogeneous social networks in relation to age, gender, and socioeconomic status. Individual responses in each neighborhood were aggregated to create an index of neighborhood-level bonding/bridging social capital. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to evaluate the associations of such social capital with depressive mood using multilevel binomial logistic regression analysis. Of the 7271 questionnaires distributed, 6416 were analyzed (covering 152 administrative neighborhoods). Approximately 56.8% of respondents were women, and the mean age was 76.2 ± 7.1 years. Neighborhood-level bonding social capital was inversely associated with depressive mood (OR = 0.84, 95% CI = 0.75-0.94), but neighborhood-level bridging social capital was not. Gender-stratified analysis revealed that neighborhood-level bonding social capital was inversely associated with depressive mood in both genders (OR = 0.83, 95% CI = 0.72-0.96 for men; OR = 0.85, 95% CI = 0.72-0.99 for women), while neighborhood-level bridging social capital was positively associated with depressive mood in women (OR = 1.15, 95% CI = 1.00-1.34). There was also a significant interaction between individual- and neighborhood-level bonding social capital, indicating that people with a weaker homogeneous network and living in a neighborhood with weaker bonding social capital were more likely to have depressive mood. Our results suggest that neighborhood social
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The evolution of GDP in USA using cyclic regression analysis
Catalin Angelo IOAN; Gina IOAN
2013-01-01
Based on the four major types of economic cycles (Kondratieff, Juglar, Kitchin, Kuznet), the paper aims to determine their actual length (for the U.S. economy) using cyclic regressions based on Fourier analysis.
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Lam, Raymond W; Wajsbrot, Dalia B; Meier, Ellen; Pappadopulos, Elizabeth; Mackell, Joan A; Boucher, Matthieu
2017-09-01
Nine randomized, double-blind, placebo-controlled studies of major depressive disorder were pooled to evaluate the effects of desvenlafaxine 50- and 100-mg/d on energy and lassitude in adults with major depressive disorder ( n=4279). Changes from baseline to endpoint in 17-item Hamilton Rating Scale for Depression (HAM-D 17 ) Work and Activities, Retardation, and Somatic Symptoms General items, HAM-D 17 psychomotor retardation factor, and Montgomery-Åsberg Depression Rating Scale Lassitude item were analyzed with a mixed model for repeated measures analysis of variance. Associations between residual energy measures and functional impairment, based on the Sheehan Disability Scale, were modeled using stepwise multiple linear regression. Improvement from baseline was significantly greater for both desvenlafaxine doses versus placebo on all energy symptom outcomes at week 8 (all p⩽0.005). Both early improvement in HAM-D 17 psychomotor retardation at week 2 and residual energy symptoms at week 8 were associated with Sheehan Disability Scale total score at week 8 (all p⩽0.001). Among Sheehan Disability Scale remitters and responders, the HAM-D 17 psychomotor retardation score at week 8 was significantly lower with desvenlafaxine (both doses) than placebo. Desvenlafaxine 50 and 100 mg/d significantly improved energy and lassitude symptoms in patients with major depressive disorder. Both early improvement in energy and fewer residual energy symptoms were associated with functional improvement.
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DEFF Research Database (Denmark)
Devantier, Torben Albert; Nørgaard, Bjarne Linde; Sand, Niels Peter
2013-01-01
BACKGROUND: Depression is associated with coronary artery disease, and atherosclerosis seems to play a central role in this relation. In several studies, multislice computed tomography (CT) has been applied for detection and quantification of coronary artery calcification (CAC) in relation...... to depression. To our knowledge, only one previous study has investigated the relation between CAC and depression in an unselected population. METHODS: A total of 617 persons were randomly selected from the background population. The participants underwent CT of the heart and were screened for depression by use...... of the Major Depression Inventory questionnaire. Quantification of CAC was performed using the Agatston method. The Mann-Whitney U test, Spearman's correlational analysis, and logistic regression were used to assess the association between depression and CAC. RESULTS: The median Agatston score...
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Prevalence of Depression in Postmenopausal Women
Directory of Open Access Journals (Sweden)
Afshari
2015-07-01
Full Text Available Background Every woman during different stages of her growth faces various crises, and one of these crises, menopause, may create different problems. In modern societies, psychological disorders and particularly depression is one of the problems of menopausal women. Objectives This study aimed to evaluate the prevalence of depression in postmenopausal women referred to selected health centers of Ahvaz in 2014. Patients and Methods This study was cross-sectional study. In this study, 1280 postmenopausal women aged between 40 and 65 years old who were referred to selected health centers of Ahvaz in 2014 were randomly enrolled. Hamilton depression scale and demographic questionnaire were used for gathering information. Data were analyzed using SPSS software. To analyze the data, descriptive statistics and analytical statistics (Independent t test, ANOVA, Pearson correlation and logistic regression were carried out (CI 95%. Results The mean ± SD score of depression for the subjects was 9.37 ± 4.62. The results showed that 59.8% of the 1280 samples were depressed; in particular, 39.8% had mild depression, 16% moderate depression, and 4% severe depression. There is a significant and inverse relation between variables of age, exposure to cigarette smoking, and the relationship with their spouses and the level of their depression, so higher age, more exposure to smoking, and better relation with their husbands, lead to the less depression. The results showed that the level of education is associated with depression. The highest rate of depression was in illiterate women; the finding also showed that there is a relationship between income and the severity of depression (Regression Log. T test showed that the mean depression level of employed postmenopausal women is higher than housewives postmenopausal women, and this difference is statistically significant (P < 0.001. Conclusions A significant percentage of women in their menopause experience
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Schramm, Elisabeth; Weitz, Erica S; Salanti, Georgia; Efthimiou, Orestis; Michalak, Johannes; Watanabe, Norio; Keller, Martin B; Kocsis, James H; Klein, Daniel N; Cuijpers, Pim
2016-01-01
Introduction Despite important advances in psychological and pharmacological treatments of persistent depressive disorders in the past decades, their responses remain typically slow and poor, and differential responses among different modalities of treatments or their combinations are not well understood. Cognitive-Behavioural Analysis System of Psychotherapy (CBASP) is the only psychotherapy that has been specifically designed for chronic depression and has been examined in an increasing number of trials against medications, alone or in combination. When several treatment alternatives are available for a certain condition, network meta-analysis (NMA) provides a powerful tool to examine their relative efficacy by combining all direct and indirect comparisons. Individual participant data (IPD) meta-analysis enables exploration of impacts of individual characteristics that lead to a differentiated approach matching treatments to specific subgroups of patients. Methods and analysis We will search for all randomised controlled trials that compared CBASP, pharmacotherapy or their combination, in the treatment of patients with persistent depressive disorder, in Cochrane CENTRAL, PUBMED, SCOPUS and PsycINFO, supplemented by personal contacts. Individual participant data will be sought from the principal investigators of all the identified trials. Our primary outcomes are depression severity as measured on a continuous observer-rated scale for depression, and dropouts for any reason as a proxy measure of overall treatment acceptability. We will conduct a one-step IPD-NMA to compare CBASP, medications and their combinations, and also carry out a meta-regression to identify their prognostic factors and effect moderators. The model will be fitted in OpenBUGS, using vague priors for all location parameters. For the heterogeneity we will use a half-normal prior on the SD. Ethics and dissemination This study requires no ethical approval. We will publish the findings in a peer
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Quantile regression for the statistical analysis of immunological data with many non-detects.
Eilers, Paul H C; Röder, Esther; Savelkoul, Huub F J; van Wijk, Roy Gerth
2012-07-07
Immunological parameters are hard to measure. A well-known problem is the occurrence of values below the detection limit, the non-detects. Non-detects are a nuisance, because classical statistical analyses, like ANOVA and regression, cannot be applied. The more advanced statistical techniques currently available for the analysis of datasets with non-detects can only be used if a small percentage of the data are non-detects. Quantile regression, a generalization of percentiles to regression models, models the median or higher percentiles and tolerates very high numbers of non-detects. We present a non-technical introduction and illustrate it with an implementation to real data from a clinical trial. We show that by using quantile regression, groups can be compared and that meaningful linear trends can be computed, even if more than half of the data consists of non-detects. Quantile regression is a valuable addition to the statistical methods that can be used for the analysis of immunological datasets with non-detects.
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Lee, Youjung; Jang, Kyeonghee; Lockhart, Naorah C
2018-04-01
Depression among older adults is a challenging public health concern in Korea. Using panel data from the Korea Institute for Health and Social Affairs on Korean older adults and their family caregivers, this study explores significant predictors of depression among Korean older adults as well as the moderating effect of living arrangements on the association between social integration and depression. A multivariate logistic regression analysis showed that preexisting depression was the most significant predictor of Korean older adults' current depression, followed by health status and family support. In addition, social integration significantly decreased Korean older adults' depression. Importantly, a significant moderation effect of living arrangements between Korean older adults' social integration and depression was observed. This study implies the development of individually tailored and culturally responsive programs to engage marginalized Korean older adults living alone, helping foster their well-being and optimal aging.
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Optimal choice of basis functions in the linear regression analysis
International Nuclear Information System (INIS)
Khotinskij, A.M.
1988-01-01
Problem of optimal choice of basis functions in the linear regression analysis is investigated. Step algorithm with estimation of its efficiency, which holds true at finite number of measurements, is suggested. Conditions, providing the probability of correct choice close to 1 are formulated. Application of the step algorithm to analysis of decay curves is substantiated. 8 refs
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Im, Eun-Ok; Chang, Sun Ju; Chee, Wonshik; Chee, Eunice; Mao, Jun James
2015-01-01
The purpose of this study was to explore the relationships between immigration transition and depressive symptoms among 1,054 midlife women in the United States. This was a secondary analysis of the data from two national Internet survey studies. Questions on background characteristics and immigration transition and the Depression Index for Midlife Women were used to collect the data. The data were analyzed using inferential statistics including multiple regressions. Immigrants reported lower numbers of symptoms and less severe symptoms than nonimmigrants (p immigration status were significant predictors of depressive symptoms (R(2) =.01, p <.05).
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Prado, Catherine E; Watt, Stephanie; Crowe, Simon F
2018-03-01
A thorough understanding of the cognitive effects of antidepressant medications is essential given their frequency of use. This meta-analysis was conducted to investigate whether antidepressants differentially affect the various domains of cognitive functioning for depressed and non-depressed participants. An electronic search of PsycInfo, Medline and Google Scholar was conducted for all journal articles published between January 1998 and January 2017. Thirty-three studies were included enabling calculation of Hedges' g using a random effects model for the cognitive domains of divided attention, executive function, expressive language, immediate memory, perceptual motor skills, processing speed, recent memory, sustained attention, visuospatial-constructional skills and working memory. Results revealed that overall, antidepressants have a modest, positive effect on divided attention, executive function, immediate memory, processing speed, recent memory and sustained attention for depressed participants. Selective serotonin reuptake inhibitors (SSRI's) were found to have the greatest positive effect on cognition for depressed participants, as compared to the other classes of antidepressants analysed. Antidepressants did not significantly affect cognitive function in non-depressed participants.
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Childhood Depression: Relation to Adaptive, Clinical and Predictor Variables
Directory of Open Access Journals (Sweden)
Maite Garaigordobil
2017-05-01
Full Text Available The study had two goals: (1 to explore the relations between self-assessed childhood depression and other adaptive and clinical variables (2 to identify predictor variables of childhood depression. Participants were 420 students aged 7–10 years old (53.3% boys, 46.7% girls. Results revealed: (1 positive correlations between depression and clinical maladjustment, school maladjustment, emotional symptoms, internalizing and externalizing problems, problem behaviors, emotional reactivity, and childhood stress; and (2 negative correlations between depression and personal adaptation, global self-concept, social skills, and resilience (sense of competence and affiliation. Linear regression analysis including the global dimensions revealed 4 predictors of childhood depression that explained 50.6% of the variance: high clinical maladjustment, low global self-concept, high level of stress, and poor social skills. However, upon introducing the sub-dimensions, 9 predictor variables emerged that explained 56.4% of the variance: many internalizing problems, low family self-concept, high anxiety, low responsibility, low personal self-assessment, high social stress, few aggressive behaviors toward peers, many health/psychosomatic problems, and external locus of control. The discussion addresses the importance of implementing prevention programs for childhood depression at early ages.
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Exploring the association between childhood and adolescent obesity and depression: a meta-analysis.
Quek, Ying-Hui; Tam, Wilson W S; Zhang, Melvyn W B; Ho, Roger C M
2017-07-01
This meta-analysis aimed to evaluate the association between childhood and adolescent obesity and depression. We systematically searched PubMed, PsycInfo, EMBASE and Science Direct for studies that compared prevalence of depression and depressive symptoms in normal weight and obese children and adolescents. Observational studies were included if they reported body mass index and assessed depression by validated instruments or diagnostic interviews. Quality assessment was performed using the Newcastle-Ottawa scale. We used the random-effect model to calculate the pooled odds ratios, standard mean differences (SMDs) and subgroup analysis. Findings for a total of 51,272 participants were pooled across 18 studies and examined. Our analyses demonstrated a positive association between childhood and adolescent obesity and depression (pooled odds ratio = 1.34, 95% confidence interval [CI]: 1.1-1.64, p = 0.005) and more severe depressive symptoms (SMD = 0.23, 95% CI: 0.025-0.44, p = 0.028) in the obese groups. Overweight subjects were not more likely to have either depression (pooled odds ratio = 1.16, 95% CI: 0.93-1.44, p = 0.19) or depressive symptoms (SMD = 0, 95% CI: -0.101 to 0.102, p = 0.997). Non-Western and female obese subjects were significantly more likely to have depression and severe depressive symptoms (p obese children and adolescents are more likely to suffer from depression and depressive symptoms, with women and non-Western people at higher risk. © 2017 World Obesity Federation.
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Regression analysis for the social sciences
Gordon, Rachel A
2015-01-01
Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. thorough integration of teaching statistical theory with teaching data processing and analysis. teaching of Stata and use of chapter exercises in which students practice programming and interpretation on the same data set. A separate set of exercises allows students to select a data set to apply the concepts learned in each chapter to a research question of interest to them, all updated for this edition.
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The relationship between depression and periodontal diseases.
Hwang, S H; Park, S G
2018-03-01
A cross-sectional study was conducted to investigate whether depression is associated with periodontal diseases in a representative sample of South Korean adults Methods: We used data from the sixth Korea National Health and Nutrition Examination Survey (KNHANES VI), conducted in 2014. We included in this study 4328 participants aged over 20 years (1768 males and 2560 females). Depression was assessed with the Patient Health Questionnaire (PHQ-9) and history of physician-diagnosed depression. Periodontal diseases were assessed a gingival bleeding, calculus and periodontal pockets. The data were analyzed using the chi-square test and multiple logistic regression. People with any periodontal diseases tended to be old, male, married, low income, poor education, blue-collar occupation, diabetes mellitus, hypertension, overweight, smoking, not using dental floss or interdental brush in univariate analysis. Neither self-reported nor diagnosed depression was associated with the presence of any or severe periodontal disease in the total sample. In participants aged 20-29 years only, the presence of any periodontal disease was associated with self-reported depression (OR, 2.031; 95% CI, 1.011-4.078). In the same age group, the presence of severe periodontal disease was associated with both self-reported depression (OR, 6.532; 95% CI, 2.190-19.483) and diagnosed depression (OR, 7.729; 95% CI, 1.966-30.389). Self-reported depression was significantly associated with the presence of any or severe periodontal disease, and diagnosed depression was significantly associated with severe periodontal diseases only in participants aged 20-29 years. Copyright© 2018 Dennis Barber Ltd.
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Jankowski, Konrad S
2016-05-15
The study aimed to elucidate previously observed associations between morningness-eveningness and depressive symptomatology in university students. Relations between components of depressive symptomatology and morningness-eveningness were analysed. Nine hundred and seventy-four university students completed Polish versions of the Centre for Epidemiological Studies - Depression scale (CES-D; Polish translation appended to this paper) and the Composite Scale of Morningness. Principal component analysis (PCA) was used to test the structure of depressive symptoms. Pearson and partial correlations (with age and sex controlled), along with regression analyses with morning affect (MA) and circadian preference as predictors, were used. PCA revealed three components of depressive symptoms: depressed/somatic affect, positive affect, interpersonal relations. Greater MA was related to less depressive symptoms in three components. Morning circadian preference was related to less depressive symptoms in depressed/somatic and positive affects and unrelated to interpersonal relations. Both morningness-eveningness components exhibited stronger links with depressed/somatic and positive affects than with interpersonal relations. Three CES-D components exhibited stronger links with MA than with circadian preference. In regression analyses only MA was statistically significant for positive affect and better interpersonal relations, whereas more depressed/somatic affect was predicted by lower MA and morning circadian preference (relationship reversed compared to correlations). Self-report assessment. There are three groups of depressive symptoms in Polish university students. Associations of MA with depressed/somatic and positive affects are primarily responsible for the observed links between morningness-eveningness and depressive symptoms in university students. People with evening circadian preference whose MA is not lowered have less depressed/somatic affect. Copyright © 2016
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Depression and coping in subthreshold eating disorders.
Dennard, E Eliot; Richards, C Steven
2013-08-01
The eating disorder literature has sought to understand the role of comorbid psychiatric diagnoses and coping in relation to eating disorders. The present research extends these findings by studying the relationships among depression, coping, and the entire continuum of disordered eating behaviors, with an emphasis on subthreshold eating disorders. 109 undergraduate females completed questionnaires to assess disordered eating symptoms, depressive symptoms, and the use of active and avoidant coping mechanisms. Hypotheses were tested using bivariate linear regression and multivariate linear regression. Results indicated that depression was a significant predictor of disordered eating symptoms after controlling for relationships between depression and coping. Although avoidant coping was positively associated with disordered eating, it was not a significant predictor after controlling for depression and coping. Previous research has found associations between depression and diagnosable eating disorders, and this research extends those findings to the entire continuum of disordered eating. Future research should continue to investigate the predictors and correlates of the disordered eating continuum using more diverse samples. Testing for mediation and moderation among these variables may also be a fruitful area of investigation. Published by Elsevier Ltd.
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A method for nonlinear exponential regression analysis
Junkin, B. G.
1971-01-01
A computer-oriented technique is presented for performing a nonlinear exponential regression analysis on decay-type experimental data. The technique involves the least squares procedure wherein the nonlinear problem is linearized by expansion in a Taylor series. A linear curve fitting procedure for determining the initial nominal estimates for the unknown exponential model parameters is included as an integral part of the technique. A correction matrix was derived and then applied to the nominal estimate to produce an improved set of model parameters. The solution cycle is repeated until some predetermined criterion is satisfied.
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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
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Risk factors for antenatal depression, postnatal depression and parenting stress.
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
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Analysis of Functional Data with Focus on Multinomial Regression and Multilevel Data
DEFF Research Database (Denmark)
Mousavi, Seyed Nourollah
Functional data analysis (FDA) is a fast growing area in statistical research with increasingly diverse range of application from economics, medicine, agriculture, chemometrics, etc. Functional regression is an area of FDA which has received the most attention both in aspects of application...... and methodological development. Our main Functional data analysis (FDA) is a fast growing area in statistical research with increasingly diverse range of application from economics, medicine, agriculture, chemometrics, etc. Functional regression is an area of FDA which has received the most attention both in aspects...
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Shayan, Zahra; Mohammad Gholi Mezerji, Naser; Shayan, Leila; Naseri, Parisa
2015-11-03
Logistic regression (LR) and linear discriminant analysis (LDA) are two popular statistical models for prediction of group membership. Although they are very similar, the LDA makes more assumptions about the data. When categorical and continuous variables used simultaneously, the optimal choice between the two models is questionable. In most studies, classification error (CE) is used to discriminate between subjects in several groups, but this index is not suitable to predict the accuracy of the outcome. The present study compared LR and LDA models using classification indices. This cross-sectional study selected 243 cancer patients. Sample sets of different sizes (n = 50, 100, 150, 200, 220) were randomly selected and the CE, B, and Q classification indices were calculated by the LR and LDA models. CE revealed the a lack of superiority for one model over the other, but the results showed that LR performed better than LDA for the B and Q indices in all situations. No significant effect for sample size on CE was noted for selection of an optimal model. Assessment of the accuracy of prediction of real data indicated that the B and Q indices are appropriate for selection of an optimal model. The results of this study showed that LR performs better in some cases and LDA in others when based on CE. The CE index is not appropriate for classification, although the B and Q indices performed better and offered more efficient criteria for comparison and discrimination between groups.
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[The effect of occupational stress on depression symptoms among 244 policemen in a city].
Gu, Guizhen; Yu, Shanfa; Wu, Hui; Zhou, Wenhui
2015-10-01
To explore the influence of occupational stress related factors on depression symptoms among 244 policemen in a city in China. In May 2011, 287 policemen from a city public security bureau were recruited to this survey by cluster sampling method. We deleted questionnaires which include missing variables on demographic characteristics and factors associated with occupational stress questionnaires which include over 3 missing items. 244 policemen were included in this study. Depression symptoms and occupational stressors were measured using Chinese version of depression self-reported questionnaire, job content questionnaire, Chinese version of effort-reward imbalances questionnaire, job hazard scale and occupational stress inventory. Depression symptom scores and the relationship between the variables and occupational stress were analyzed by Spearman correlation analysis and multiple regression analysis. The Median (P25-P75) of depression symptom scores of all respondents was 16.50 (11.00-25.00). 144 were policemen with no depression symptoms and 100 were with depression symptoms. The median (P25-P75) of depression symptoms scores among policemen with length of serves stress and negative affectivity among policemen with depression symptoms were 17.00 (8.00-26.00), 16.00 (11.00-24.50), 19.00 (12.00-27.00), and 12.00 (6.25-15.00), respectively, which were higher than those with no depression symptoms (24.00 (22.00-25.00), 8.00 (5.00-13.00), 8.00 (6.00-10.00), 1.00 (0-2.75)), and the differences were significant (Z=3.82, 5.39, 5.15, 6.41, Pstress, negative affectivity and job hazards scores. Correlations coefficient were 0.44, 0.28, 0.28, 0.33, 0.38, 0.44, and 0.38, respectively (Pstress and negative affectivity had bigger contribution on the depression symptoms scores. The standard regression coefficient was -0.46, 0.19 and 0.13, respectively (Pstress, negative affectivity and job hazards scores were the inducement of depression symptoms for policemen. To reduce the
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Correlates of Mental Depression Among Female Sex Workers in Southern India.
Patel, Sangram Kishor; Saggurti, Niranjan; Pachauri, Saroj; Prabhakar, Parimi
2015-11-01
Mental health is an integral part of overall health status but has been a largely neglected issue in the developing world especially among female sex workers (FSWs). This study examines the prevalence and correlates of major depression among FSWs in southern India. Major depression was assessed using Patient Health Questionnaire-2 depression scale data from a cross-sectional Behavioral Tracking Survey, 2010-2011 conducted among FSWs (n = 1986) in Andhra Pradesh, a state in southern India. Almost two-fifths of FSWs (39%) reported major depression. Multivariate logistic regression analysis shows a significant association between major depression and the following characteristics for FSWs: low autonomy, alcohol use, experience of violence, police arrest, inconsistent condom use with clients, mobility for sex work, and being HIV positive or not wanting to disclose HIV status. Research and advocacy efforts are needed to ensure that the mental health issues of marginalized groups are appropriately addressed in HIV prevention programs. © 2015 APJPH.
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Huang, Ruixue; Wang, Ke; Hu, Jianan
2016-08-06
It has been reported that gut probiotics play a major role in the bidirectional communication between the gut and the brain. Probiotics may be essential to people with depression, which remains a global health challenge, as depression is a metabolic brain disorder. However, the efficacy of probiotics for depression is controversial. This study aimed to systematically review the existing evidence on the effect of probiotics-based interventions on depression. Randomized, controlled trials, identified through screening multiple databases and grey literature, were included in the meta-analysis. The meta-analysis was performed using Review Manager 5.3 software using a fixed-effects model. The meta-analysis showed that probiotics significantly decreased the depression scale score (MD (depressive disorder) = -0.30, 95% CI (-0.51--0.09), p = 0.005) in the subjects. Probiotics had an effect on both the healthy population (MD = -0.25, 95% CI (-0.47--0.03), p = 0.03) and patients with major depressive disorder (MDD) (MD = -0.73, 95% CI (-1.37--0.09), p = 0.03). Probiotics had an effect on the population aged under 60 (MD = -0.43, 95% CI (-0.72--0.13), p = 0.005), while it had no effect on people aged over 65 (MD = -0.18, 95% CI (-0.47-0.11), p = 0.22). This is the first systematic review and meta-analysis with the goal of determining the effect of probiotics on depression. We found that probiotics were associated with a significant reduction in depression, underscoring the need for additional research on this potential preventive strategy for depression.
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Hirschtritt, Matthew E; Pagano, Maria E; Christian, Kelly M; McNamara, Nora K; Stansbrey, Robert J; Lingler, Jacqui; Faber, Jon E; Demeter, Christine A; Bedoya, Denise; Findling, Robert L
2012-06-01
Our recent 8-week, randomized, placebo-controlled trial of fluoxetine in adolescents (ages 12-17 years) with comorbid depression and substance use disorder (SUD) did not detect a significant antidepressant treatment effect. The purpose of this secondary analysis was to explore moderators of the effect of fluoxetine in this sample. Static moderators measured at baseline were depression chronicity and hopelessness severity; time-varying moderators measured at baseline and weekly during the 8-week trial period were alcohol and marijuana use severity. Treatment effects on depression outcomes were examined among moderating subgroups in random effects regression models. Subjects assigned to fluoxetine treatment with chronic depression at baseline (p = .04) or no more than moderate alcohol use during the trial (p = .04) showed significantly greater decline in depression symptoms in comparison to placebo-assigned subgroups. The current analysis suggests that youth with chronic depression and no more than moderate alcohol consumption are likely to respond better to treatment with fluoxetine compared with placebo than youth with transient depression and heavy alcohol use. Copyright © 2012 Elsevier Inc. All rights reserved.
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Stewart, Jeremy G; Harkness, Kate L
2012-03-01
Antidepressant medications, Cognitive-Behavioral Therapy (CBT) and Interpersonal Psychotherapy (IPT) are equally efficacious in the acute treatment of Major Depressive Disorder (MDD). Nevertheless, remission rates remain unacceptably low. Examining the differential time course of remission of specific symptom clusters across treatments may provide a basis for assigning patients to treatments that have the highest chance of being effective. This study re-analyzed data from the NIMH Treatment of Depression Collaborative Research Project (TDCRP), which included 250 adult outpatients with MDD randomized to 16 weeks of CBT, IPT, imipramine+clinical management (IMI-CM), or pill placebo (PLA-CM). We derived four symptom factors from the 23-item Hamilton Depression Rating Scale, and three symptom factors from the Beck Depression Inventory. Within-subject hierarchical regression models were specified to examine the linear and quadratic patterns of symptom remission over five assessment points. IMI-CM produced a more rapid rate of remission than CBT or IPT for both the somatic/vegetative and cognitive-affective symptoms of MDD. There were no statistically significant differences in the rates of improvement of any of the symptom factors between the IMI-CM and PLA-CM groups. Some core symptoms of depression were excluded due to low factor loadings. Past research has argued that the CBT arm in the TDCRP may have been weak. We failed to find evidence that treatments act preferentially on specific symptom clusters. Therefore, the symptoms of MDD may be inter-dependent when it comes to their courses of remission in treatment. Copyright © 2011 Elsevier B.V. All rights reserved.
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Regression analysis of a chemical reaction fouling model
International Nuclear Information System (INIS)
Vasak, F.; Epstein, N.
1996-01-01
A previously reported mathematical model for the initial chemical reaction fouling of a heated tube is critically examined in the light of the experimental data for which it was developed. A regression analysis of the model with respect to that data shows that the reference point upon which the two adjustable parameters of the model were originally based was well chosen, albeit fortuitously. (author). 3 refs., 2 tabs., 2 figs
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The Relationship of Hypochondriasis to Anxiety, Depressive, and Somatoform Disorders
Scarella, Timothy M.; Laferton, Johannes A. C.; Ahern, David K.; Fallon, Brian A.; Barsky, Arthur
2015-01-01
Background Though the phenotype of anxiety about medical illness has long been recognized, there continues to be debate as to whether it is a distinct psychiatric disorder and, if so, to which diagnostic category it belongs. Our objective was to investigate the pattern of psychiatric co-morbidity in hypochondriasis and to assess the relationship of health anxiety to anxiety, depressive, and somatoform disorders. Methods Data were collected as part of a clinical trial on treatment methods for hypochondriasis. 194 participants meeting criteria for DSM-IV hypochondriasis were assessed by sociodemographic variables, results of structured diagnostic interviews, and validated instruments for assessing various symptom dimensions of psychopathology. Results The majority of individuals with hypochondriasis had co-morbid psychiatric illness; the mean number of co-morbid diagnoses was 1.4, and 35.1% had hypochondriasis as their only diagnosis. Participants were more likely to have only co-morbid anxiety disorders than only co-morbid depressive or somatoform disorders. Multiple regression analysis of continuous measures of symptoms revealed the strongest correlation of health anxiety with anxiety symptoms, and a weaker correlation with somatoform symptoms; in multiple regression analysis, there was no correlation between health anxiety and depressive symptoms. Conclusion Our findings suggest that the entity of health anxiety (Hypochondriasis in DSM-IV, Illness Anxiety Disorder in DSM-5) is a clinical syndrome distinct from other psychiatric disorders. Analysis of co-morbidity patterns and continuous measures of symptoms suggest its appropriate classification is with anxiety rather than somatoform or mood disorders. PMID:26785798
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[A SAS marco program for batch processing of univariate Cox regression analysis for great database].
Yang, Rendong; Xiong, Jie; Peng, Yangqin; Peng, Xiaoning; Zeng, Xiaomin
2015-02-01
To realize batch processing of univariate Cox regression analysis for great database by SAS marco program. We wrote a SAS macro program, which can filter, integrate, and export P values to Excel by SAS9.2. The program was used for screening survival correlated RNA molecules of ovarian cancer. A SAS marco program could finish the batch processing of univariate Cox regression analysis, the selection and export of the results. The SAS macro program has potential applications in reducing the workload of statistical analysis and providing a basis for batch processing of univariate Cox regression analysis.
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Depression symptoms and body dissatisfaction association among polycystic ovary syndrome women.
Pastore, Lisa M; Patrie, James T; Morris, Wendy L; Dalal, Parchayi; Bray, Megan J
2011-10-01
One publication reported that lower body satisfaction and lower education were independent predictors of depression in polycystic ovary syndrome (PCOS) in women. This study replicates that analysis using different instruments, and adds androgen levels to the model. Cross-sectional analysis of questionnaires (Quick Inventory of Depressive Symptomatology-Self-Report, Body Esteem Scale) and serum androgens from a community cohort with (n=94) and without (n=96) PCOS, matched by BMI category. Non-parametric tests, Spearman correlations, and negative binomial regression models were analyzed. Depression symptoms were common (40-60% in lean, overweight and obese BMI categories) in the PCOS cohort, albeit generally of mild severity. The PCOS women had similar depression symptom severity (P>.20) and similar body dissatisfaction (P≥.25) as the regularly cycling women in total and stratified by BMI category. In both the PCOS and non-PCOS cohorts, depression symptom severity was positively correlated with dissatisfaction with physical appearance and physical conditioning (Psymptoms in non-obese PCOS women (BMIPCOS, depression was unrelated to body dissatisfaction after controlling for age. Among non-obese PCOS women, their subjective body image was strongly associated with the severity of their depression symptoms. Most of the obese PCOS cohort had low body satisfaction and depression symptoms, therefore individual differences in the body dissatisfaction scores were not helpful in identifying depression symptom severity. Neither testosterone nor free testosterone was associated with depression symptom severity in PCOS women after controlling for body dissatisfaction and age. Copyright © 2011 Elsevier Inc. All rights reserved.
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Kleijnen, J.P.C.
1995-01-01
This tutorial discusses what-if analysis and optimization of System Dynamics models. These problems are solved, using the statistical techniques of regression analysis and design of experiments (DOE). These issues are illustrated by applying the statistical techniques to a System Dynamics model for
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Association between depression and periodontitis: a systematic review and meta-analysis.
Araújo, Milena Moreira; Martins, Carolina Castro; Costa, Lidiane Cristina Machado; Cota, Luís Otávio Miranda; Faria, Rodrigo Lamounier Araújo Melo; Cunha, Fabiano Araújo; Costa, Fernando Oliveira
2016-03-01
The aim of this systematic review and meta-analysis was to assess the scientific evidence on the association between depression and periodontitis. An electronic search was conducted in three databases until October 2015 (PROSPERO-CRD42014006451). Hand searches and grey literature were also included. Search retrieved 423 potentially studies. Two independent reviewers selected the studies, extracted data and assessed risk bias through a modified version of Newcastle-Ottawa scale. Meta-analysis was performed for the presence/absence of periodontitis (dichotomic). Summary effect measures and odds ratio (OR) 95% CI were calculated. After selecting the studies, 15 were included in the systematic review (eight cross-sectional, six case-control and one cohort study). Six studies reported that depression was associated with periodontitis, whereas nine studies did not. The majority of studies had low risk of bias by methodological quality assessment. Meta-analysis of seven cross-sectional studies showed no significant association between depression and periodontitis (OR = 1.03, 95% CI = 0.75-1.41). Findings from the present systematic review showed a great heterogeneity among the studies and the summary effect measure of the meta-analysis cannot affirm an association between depression and periodontitis. Future studies with different designs in distinct populations should be conducted to investigate this association. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
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Relationship of Internet addiction with self-esteem and depression in university students.
Bahrainian, S A; Alizadeh, K Haji; Raeisoon, M R; Gorji, O Hashemi; Khazaee, A
2014-09-01
The aim of the study was to investigate the relationship of self-esteem and depression with Internet addiction in university students. The present descriptive-analytic correlation study involved 408 students (150 female and 258 male) who had been selected by means of a cluster sampling method from among all the students studying in Birjand Islamic Azad University. Students were evaluated through the Beck Depression Inventory (BDI), Cooper Smith Self-Esteem Inventory (CSEI) and Internet Addiction Test (IAT). The results indicated that 40.7% of the students had Internet addiction. A significant correlation emerged between depression, self-esteem and Internet addiction. Regression analysis indicated that depression and self-esteem were able to predict the variance of Internet addiction to some extent. It may be important to evaluate self-esteem and depression in people with Internet addiction. These variables should be targeted for effective cognitive behavioral therapy in people with Internet addiction.
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Vicarious experience affects patients' treatment preferences for depression.
Directory of Open Access Journals (Sweden)
Seth A Berkowitz
Full Text Available Depression is common in primary care but often under-treated. Personal experiences with depression can affect adherence to therapy, but the effect of vicarious experience is unstudied. We sought to evaluate the association between a patient's vicarious experiences with depression (those of friends or family and treatment preferences for depressive symptoms.We sampled 1054 English and/or Spanish speaking adult subjects from July through December 2008, randomly selected from the 2008 California Behavioral Risk Factor Survey System, regarding depressive symptoms and treatment preferences. We then constructed a unidimensional scale using item analysis that reflects attitudes about antidepressant pharmacotherapy. This became the dependent variable in linear regression analyses to examine the association between vicarious experiences and treatment preferences for depressive symptoms.Our sample was 68% female, 91% white, and 13% Hispanic. Age ranged from 18-94 years. Mean PHQ-9 score was 4.3; 14.5% of respondents had a PHQ-9 score >9.0, consistent with active depressive symptoms. Analyses controlling for current depression symptoms and socio-demographic factors found that in patients both with (coefficient 1.08, p = 0.03 and without (coefficient 0.77, p = 0.03 a personal history of depression, having a vicarious experience (family and friend, respectively with depression is associated with a more favorable attitude towards antidepressant medications.Patients with vicarious experiences of depression express more acceptance of pharmacotherapy. Conversely, patients lacking vicarious experiences of depression have more negative attitudes towards antidepressants. When discussing treatment with patients, clinicians should inquire about vicarious experiences of depression. This information may identify patients at greater risk for non-adherence and lead to more tailored patient-specific education about treatment.
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Depression in Parkinson's disease: A case-control study.
Directory of Open Access Journals (Sweden)
Yu-Hsuan Wu
Full Text Available To evaluate the association between Parkinson's disease (PD prognosis and the patient's onset of depression.A total of 353 patients with newly-diagnosed PD and a history of depression were enrolled. On the basis of the onset of depression before or after PD diagnosis, we divided participants into PD patients with pre- or post-diagnostic depression. Cox's regression analysis was used to detect risks between the onset of depression and outcomes (including death, accidental injury, dementia, and aspiration pneumonia. The association between the onset of depression and levodopa equivalent dosage (LED and cumulative equivalent dosage of antidepressants were assessed.PD patients with post-diagnostic depression were associated with significantly higher risks of dementia (adjusted HR = 2·01, p = 0·015, and were older (58·5 ± 17·7 vs. 53·7 ± 18·6, p = 0·020 at the time of PD diagnosis than PD patients with pre-diagnostic depression. The higher incident rate of accidental injury was also noted in PD patients with post-diagnostic depression (48·1 vs. 31·3/1000 person-years, HR = 1·60, p = 0·041, but no statistical significance was observed in the adjusted hazard ratio (HR (HR = 1·52, p = 0·069. Otherwise, mortality, motor condition and severity of depression revealed no significant difference between PD patients with pre-diagnostic and post-diagnostic depression.PD patients with post-diagnostic depression had higher incidence of dementia, implying different onset time of depression could be associated with different subtypes and spreading routes which should be examined in follow-up studies.
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Effects of group reminiscence on elderly depression: A meta-analysis
Dan Song; Qin Shen; Tu-Zhen Xu; Qiu-Hua Sun
2014-01-01
Background/purpose: The present meta-analysis was performed to evaluate the effectiveness of group reminiscence on depression in elderly patients. Methods: Published and unpublished randomised controlled trials that assessed the effects of group reminiscence on depression in elderly patients were systematically reviewed using multiple electronic databases. Relative risks for dichotomous data and weighted mean differences for continuous data were calculated with 95% confidence intervals. ...
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A Prospective Study of Depression and Weight Change After Kidney Transplant.
Stanfill, Ansley; Hathaway, Donna; Bloodworth, Robin; Cashion, Ann
2016-03-01
Kidney transplant recipients have great risk for gaining significant weight (upward of 10 kg) in the first year posttransplant. Clinical depression can occur in response to life situations and is associated with weight gain. To explore the association between demographic characteristics, weight change, and depression posttransplantation. Secondary data analysis on longitudinal data collected for a larger observational study. Demographic characteristics, weight, and Center for Epidemiologic Studies Depression Scale (CES-D) data were obtained at baseline (BL) (time of transplantation), 6, and 12 months posttransplant. The CES-D scores were compared among time points using means, standard deviations, correlations, t tests, and chi-square as well as by multiple regression modeling. Regional transplant center in the mid-south United States. Forty-seven kidney transplant recipients (55% female, 57% African American, mean age 52.5 years). Weight change ranged from -18.1 to +24.8 kg. In all, 62% reported baseline CES-D scores indicative of depression, with lower scores indicating less psychological distress at 6 and 12 months (47% and 49%, respectively). We found no significant differences among CES-D scores at any time point. Regression models found age, race, gender, and weight change to be predictive of CES-D scores at 6 months (P = .04, R (2) = .137). Age was the most influential (P = .008), with older individuals more likely to obtain higher CES-D scores. Since the experience of depression is common at transplant and during the first year, it is important that transplant recipients be evaluated for depression early in the recovery period. © 2016, NATCO.
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Shen, Chung-Wei; Chen, Yi-Hau
2015-10-01
Missing observations and covariate measurement error commonly arise in longitudinal data. However, existing methods for model selection in marginal regression analysis of longitudinal data fail to address the potential bias resulting from these issues. To tackle this problem, we propose a new model selection criterion, the Generalized Longitudinal Information Criterion, which is based on an approximately unbiased estimator for the expected quadratic error of a considered marginal model accounting for both data missingness and covariate measurement error. The simulation results reveal that the proposed method performs quite well in the presence of missing data and covariate measurement error. On the contrary, the naive procedures without taking care of such complexity in data may perform quite poorly. The proposed method is applied to data from the Taiwan Longitudinal Study on Aging to assess the relationship of depression with health and social status in the elderly, accommodating measurement error in the covariate as well as missing observations. © The Author 2015. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
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The Relationship Between Self-Concept with Depression Degree in Hypertensive Patient
Directory of Open Access Journals (Sweden)
Baharuddin Baharuddin
2017-06-01
Full Text Available In hypertensive patients, a negative self-concept (body-image, self- ideal, self-esteem, self-role and self-identity will trigger a depression. The purpose of this study was to analyze the relationship between self-concept with the degree of depression in hypertensive patients at the Masalle Community Health Center, Masalle Sub District, Enrekang District. The subjects of this cross sectional study were 71 hypertensive patients selected by purposive sampling technique. Data were collected through questionnaire, then analyzed descriptively in the form of frequency and percentage, then continued with Chi square test, and ended with multiple linear regression test. The results of data analysis show that body-image and self-esteem is associated with the degree of depression in hypertensive patients.
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Kim, O; Kim, M S; Kim, J; Lee, J E; Jung, H
2018-01-17
Most studies regarding the relationship between binge eating disorder (BED) and depression have targeted obese populations. However, nurses, particularly female nurses, are one of the vocations that face these issues due to various reasons including high stress and shift work. This study investigated the prevalence of BED and the correlation between BED and severity of self-reported depressive symptoms among female nurses in South Korea. Participants were 7,267 female nurses, of which 502 had symptoms of BED. Using the propensity score matching (PSM) technique, 502 nurses with BED and 502 without BED were included in the analyses. Data were analyzed using descriptive statistics, Spearman's correlation, and multivariable ordinal logistic regression analysis. The proportion of binge eating disorder was 6.90% among the nurses, and 81.3% of nurses displayed some levels of depressive symptoms. Multivariable ordinal logistic regression analysis revealed that age (40 years old and older), alcohol consumption (frequent drinkers), self-rated health, sleep problems, and stress were associated with self-reported depression symptoms. Overall, after adjusting for confounders, nurses with BED had 1.80 times the risk (95% CI = [1.41-2.30]; p-value depression symptoms. Korean female nurse showed a higher prevalence of both binge eating disorder and depressive symptoms, and the association between the two factors was proven in the study. Therefore, hospital management and health policy makers should be alarmed and agreed on both examining nurses on such problems and providing organized and systematic assistance.
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Bredemeier, Keith; Spielberg, Jeffery M.; Silton, Rebecca Levin; Berenbaum, Howard; Heller, Wendy; Miller, Gregory A.
2010-01-01
The present study examined the utility of the anhedonic depression scale from the Mood and Anxiety Symptoms Questionnaire (MASQ-AD scale) as a way to screen for depressive disorders. Using receiver-operating characteristic analysis, we examined the sensitivity and specificity of the full 22-item MASQ-AD scale, as well as the 8- and 14-item…
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Application of multilinear regression analysis in modeling of soil ...
African Journals Online (AJOL)
The application of Multi-Linear Regression Analysis (MLRA) model for predicting soil properties in Calabar South offers a technical guide and solution in foundation designs problems in the area. Forty-five soil samples were collected from fifteen different boreholes at a different depth and 270 tests were carried out for CBR, ...
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CBT for children with depressive symptoms: a meta-analysis.
Arnberg, Alexandra; Ost, Lars-Göran
2014-01-01
Pediatric depression entails a higher risk for psychiatric disorders, somatic complaints, suicide, and functional impairment later in life. Cognitive behavior therapy (CBT) is recommended for the treatment of depression in children, yet research is based primarily on adolescents. The present meta-analysis investigated the efficacy of CBT in children aged 8-12 years with regard to depressive symptoms. We included randomized controlled trials of CBT with participants who had an average age of ≤ 12 years and were diagnosed with either depression or reported elevated depressive symptoms. The search resulted in 10 randomized controlled trials with 267 participants in intervention and 256 in comparison groups. The mean age of participants was 10.5 years. The weighted between-group effect size for CBT was moderate, Cohen's d = 0.66. CBT outperformed both attention placebo and wait-list, although there was a significant heterogeneity among studies with regard to effect sizes. The weighted within-group effect size for CBT was large, d = 1.02. Earlier publication year, older participants, and more treatment sessions were associated with a larger effect size. In conclusion, the efficacy of CBT in the treatment of pediatric depression symptoms was supported. Differences in efficacy, methodological shortcomings, and lack of follow-up data limit the present study and indicate areas in need of improvement.
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Prevalence rates and socioeconomic characteristics of post-partum depression in Hungary.
Nagy, Emese; Molnar, Peter; Pal, Attila; Orvos, Hajnalka
2011-01-30
The rapid socioeconomic transition in post-communist Hungary adversely affected the overall morbidity and mortality rates in the 1990s. Prevalence data on depressive disorders from the region are still scarce, however. This study reports the findings of the first epidemiological survey, using the Edinburgh Postnatal Depression Scale (EPDS) and the Beck Depression Inventory (BDI), on the prevalence of post-partum depression and the associated risk factors in Hungary. A total of 1030 mothers who delivered their babies between May and July 1999 in 16 counties in Hungary were screened for depressive symptoms 3-26 weeks post-partum. The survey found that 10.81% of the sample was above the cut-off score of 13, and the EPDS detected post-partum depressive symptoms with 76% (95% confidence interval (CI)=60.5-87.1) sensitivity and 92% (95% CI=90.5-94.1) specificity. In addition, 24 socio-demographic, socio-psychiatric data and personal and obstetric variables were surveyed. Results of a hierarchical logistic regression analysis showed that depression of the mother during pregnancy was the strongest predictor of depressive symptoms post-partum. Depression before pregnancy, housing conditions, marital relationship status and family history of alcohol problems were also identified as predictors for post-partum depressive symptoms. Copyright © 2010 Elsevier Ltd. All rights reserved.
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Multimodal brain connectivity analysis in unmedicated late-life depression.
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Reza Tadayonnejad
Full Text Available Late-life depression (LLD is a common disorder associated with emotional distress, cognitive impairment and somatic complains. Structural abnormalities have been suggested as one of the main neurobiological correlates in LLD. However the relationship between these structural abnormalities and altered functional brain networks in LLD remains poorly understood. 15 healthy elderly comparison subjects from the community and 10 unmedicated and symptomatic subjects with geriatric depression were selected for this study. For each subject, 87 regions of interest (ROI were generated from whole brain anatomical parcellation of resting state fMRI data. Whole-brain ROI-wise correlations were calculated and compared between groups. Group differences were assessed using an analysis of covariance after controlling for age, sex and education with multiple comparison correction using the false discovery rate. Structural connectivity was assessed by tract-based spatial statistics (TBSS. LLD subjects had significantly decreased connectivity between the right accumbens area (rA and the right medial orbitofrontal cortex (rmOFC as well as between the right rostral anterior cingulate cortex (rrACC and bilateral superior frontal gyrus (bsSFG. Altered connectivity of rrACC with the bsSFG was significantly correlated with depression severity in depressed subjects. TBSS analysis showed a 20% reduction in fractional anisotropy (FA in the right Forceps Minor (rFM in depressed subjects. rFM FA values were positively correlated with rA-rmOFC and rrACC-bsFG functional connectivity values in our total study sample. Coordinated structural and functional impairment in circuits involved in emotion regulation and reward pathways play an important role in the pathophysiology of LLD.
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Directory of Open Access Journals (Sweden)
Catarine S. Silva
Full Text Available Abstract Objective: To investigate the association between postpartum depression and the occurrence of exclusive breastfeeding. Method: This is a cross-sectional study conducted in the states of the Northeast region, during the vaccination campaign in 2010. The sample consisted of 2583 mother-child pairs, with children aged from 15 days to 3 months. The Edinburgh Postnatal Depression Scale was used to screen for postpartum depression. The outcome was lack of exclusive breastfeeding, defined as the occurrence of this practice in the 24 h preceding the interview. Postpartum depression was the explanatory variable of interest and the covariates were: socioeconomic and demographic conditions; maternal health care; prenatal, delivery, and postnatal care; and the child's biological factors. Multivariate logistic regression analysis was conducted to control for possible confounding factors. Results: Exclusive breastfeeding was observed in 50.8% of the infants and 11.8% of women had symptoms of postpartum depression. In the multivariate logistic regression analysis, a higher chance of exclusive breastfeeding absence was found among mothers with symptoms of postpartum depression (OR = 1.67; p < 0.001, among younger subjects (OR = 1.89; p < 0.001, those who reported receiving benefits from the Bolsa Família Program (OR = 1.25; p = 0.016, and those started antenatal care later during pregnancy (OR = 2.14; p = 0.032. Conclusions: Postpartum depression contributed to reducing the practice of exclusive breastfeeding. Therefore, this disorder should be included in the prenatal and early postpartum support guidelines for breastfeeding, especially in low socioeconomic status women.
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Directory of Open Access Journals (Sweden)
Matthias Schmid
Full Text Available Regression analysis with a bounded outcome is a common problem in applied statistics. Typical examples include regression models for percentage outcomes and the analysis of ratings that are measured on a bounded scale. In this paper, we consider beta regression, which is a generalization of logit models to situations where the response is continuous on the interval (0,1. Consequently, beta regression is a convenient tool for analyzing percentage responses. The classical approach to fit a beta regression model is to use maximum likelihood estimation with subsequent AIC-based variable selection. As an alternative to this established - yet unstable - approach, we propose a new estimation technique called boosted beta regression. With boosted beta regression estimation and variable selection can be carried out simultaneously in a highly efficient way. Additionally, both the mean and the variance of a percentage response can be modeled using flexible nonlinear covariate effects. As a consequence, the new method accounts for common problems such as overdispersion and non-binomial variance structures.
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THE VALIDITY OF CLINICAL DIFFERENTIATION BETWEEN ANXIETY AND DEPRESSIVE NEUROSES BY FACTOR ANALYSIS
Singh, Gurmeet; Sharma, Ravinder Kumar
1986-01-01
SUMMARY Ninety subjects consisting of 30 patients of generalized anxiety disorder, 30 of dysthymic disorder (depressive neurosis) according to D. S. M. III criteria and 30 patients of mixed anxiety-depressive disorder were given a detailed psychiatric examination, in addition, they were administered the Humilton rating scales for anxiety and depression, and also the Taylor manifest anxiety scale and Amritsar depressive inventory. All the symptoms elicited were then subjected to factor analysi...
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Anxiety and depression in chronic hemodialysis: some somatopsychic determinants.
Jadoulle, V; Hoyois, P; Jadoul, M
2005-02-01
Depression and anxiety are so common in hemodialysis (HD) patients that we found it useful to study the respective contributions of the subjective somatic sensations and of the objective medical comorbidity to psychological distress. We also hypothesized that denial has a protective effect against anxiety and depression, and that alexithymia is, on the contrary, a risk factor. In a cross-sectional design, we investigated relationships between psychological distress and somatic complaints, Charlson comorbidity index, denial and alexithymia, in a group of 54 patients on incenter HD. They filled psychometric self-rated questionnaires in (State Anxiety Inventory, Hospital Anxiety and Depression Scale, 13-item Short Beck Depression Inventory, Kidney Disease Quality of Life Short Form, 20-item Toronto Alexithymia Scale). A principal component analysis allowed us to focus on HADS-total score, which was confirmed to be representative of anxio-depression. Then, correlational analyses and a stepwise regression analysis were performed. HADS-total score is inversely associated with the use of denial as a psychological defence mechanism (p emotions (p emotions emerge as the three main variables related to the HADS-total score (p emotions, but it can diminish compliance. So, the subjective perception of the disease seems to have an important impact on the anxiety and mood levels, which can also be influenced by the emotional regulation abilities.
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Bias due to two-stage residual-outcome regression analysis in genetic association studies.
Demissie, Serkalem; Cupples, L Adrienne
2011-11-01
Association studies of risk factors and complex diseases require careful assessment of potential confounding factors. Two-stage regression analysis, sometimes referred to as residual- or adjusted-outcome analysis, has been increasingly used in association studies of single nucleotide polymorphisms (SNPs) and quantitative traits. In this analysis, first, a residual-outcome is calculated from a regression of the outcome variable on covariates and then the relationship between the adjusted-outcome and the SNP is evaluated by a simple linear regression of the adjusted-outcome on the SNP. In this article, we examine the performance of this two-stage analysis as compared with multiple linear regression (MLR) analysis. Our findings show that when a SNP and a covariate are correlated, the two-stage approach results in biased genotypic effect and loss of power. Bias is always toward the null and increases with the squared-correlation between the SNP and the covariate (). For example, for , 0.1, and 0.5, two-stage analysis results in, respectively, 0, 10, and 50% attenuation in the SNP effect. As expected, MLR was always unbiased. Since individual SNPs often show little or no correlation with covariates, a two-stage analysis is expected to perform as well as MLR in many genetic studies; however, it produces considerably different results from MLR and may lead to incorrect conclusions when independent variables are highly correlated. While a useful alternative to MLR under , the two -stage approach has serious limitations. Its use as a simple substitute for MLR should be avoided. © 2011 Wiley Periodicals, Inc.
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Prediction of electroconvulsive therapy response and remission in major depression : meta-analysis
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...
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Ciufolini, Simone; Dazzan, Paola; Kempton, Matthew J; Pariante, Carmine; Mondelli, Valeria
2014-11-01
We conducted a meta-analysis to investigate the HPA axis response to social stress in studies that used the Trier Social Stress Test (TSST), or comparable distressing paradigms, in individuals with either depression or schizophrenia. Sample size-adjusted effect sizes (Hedge's g statistic) were calculated to estimate the HPA axis stress response to social stress. We used a meta-regression model to take into account the moderating effect of the baseline cortisol level. Participants with depression show an activation pattern to social stress similar to that of healthy controls. Despite a normal cortisol production rate, individuals with schizophrenia have lower cortisol levels than controls both in anticipation and after exposure to social stress. Participants with depression and higher cortisol levels before the task have an increased cortisol production and reached higher cortisol levels during the task. This may be explained by the presence of an impaired negative feedback. The activation pattern present in schizophrenia may explain the reduced ability to appropriately contextualize past experiences shown by individuals with psychosis in social stressful situation. Copyright © 2014 Elsevier Ltd. All rights reserved.
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Depression in HIV and HCV co-infected patients: a systematic review and meta-analysis.
Fialho, Renata; Pereira, Marco; Rusted, Jennifer; Whale, Richard
2017-10-01
The aim of this study was to carry out a systematic review and meta-analysis of the differences in the prevalence of depression and presence of depressive symptoms between HIV/HCV co-infection, HIV mono-infection, and hepatitis C virus (HCV) mono-infection. A systematic electronic search of bibliographic databases was performed to locate articles published from the earliest available online until December 2014. Outcomes of depression were based on clinical interviews and validated self-reported measures of depression/depressive symptoms. Of the 188 records initially screened, 29 articles were included in the descriptive systematic review and six were included in the meta-analysis. The meta-analytic results indicated that, as measured by self-reported measures of depression, HIV/HCV co-infected patients were significantly more likely to report depressive symptoms than either HIV (SMD = .24, 95% CI: .03-.46, p = .02) or HCV mono-infected (SMD = .55, 95% CI: .17-.94, p = .005) patients. The variability of the results of the reviewed studies, largely dependent on the samples' characteristics and the methods of assessment of depression, suggests that a clear interpretation of how depression outcomes are affected by the presence of HIV/HCV co-infection is still needed. Failing to diagnose depression or to early screen depressive symptoms may have a significant impact on patients' overall functioning and compromise treatments' outcomes.
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Llewellyn-Jones, R H; Baikie, K A; Smithers, H; Cohen, J; Snowdon, J; Tennant, C C
1999-09-11
To evaluate the effectiveness of a population based, multifaceted shared care intervention for late life depression in residential care. Randomised controlled trial, with control and intervention groups studied one after the other and blind follow up after 9.5 months. Population of residential facility in Sydney living in self care units and hostels. 220 depressed residents aged >/=65 without severe cognitive impairment. The shared care intervention included: (a) multidisciplinary consultation and collaboration, (b) training of general practitioners and carers in detection and management of depression, and (c) depression related health education and activity programmes for residents. The control group received routine care. Geriatric depression scale. Intention to treat analysis was used. There was significantly more movement to "less depressed" levels of depression at follow up in the intervention than control group (Mantel-Haenszel stratification test, P=0.0125). Multiple linear regression analysis found a significant intervention effect after controlling for possible confounders, with the intervention group showing an average improvement of 1.87 points on the geriatric depression scale compared with the control group (95% confidence interval 0.76 to 2.97, P=0.0011). The outcome of depression among elderly people in residential care can be improved by multidisciplinary collaboration, by enhancing the clinical skills of general practitioners and care staff, and by providing depression related health education and activity programmes for residents.
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Socioeconomic inequalities in adolescent depression in South Korea: a multilevel analysis.
Park, Hye Yin; Heo, Jongho; Subramanian, S V; Kawachi, Ichiro; Oh, Juhwan
2012-01-01
In recent years, South Korea has witnessed a sustained rise in the prevalence of adolescent depression. In the present study, we sought to investigate family and school environmental influences on adolescent depression. Middle and high school students (N = 75,066) were randomly selected respondents to a web-based survey and answered questions on their academic and socioeconomic backgrounds, parental support, parental education level, physical activities, lifestyle habits and their experience of depression in the past one year. Two-level multilevel analysis was used to investigate the relationship between depression and individual (level 1) and school (level 2) factors. Girls reported having experienced depression in greater numbers than boys (43.96% vs. 32.03%). A significant association was found between adolescent depression experience and gender, grade, self-rated academic achievement, family affluence scale, parental support, parental education level, lifestyle habits, physical activity and sleep dissatisfaction. The students living with rich parents were more likely to be depressive, and maternal higher education was significantly associated with higher probability of boys' depression experience. Low academic achievement was highly associated with the experience of depression. In school level contexts, girls were found to be less likely to be depressive in girls-only schools. The adolescent depression experience is not only an individual phenomenon but is highly associated with other factors such as parents, peers, academic achievement, and even gender mix in the school. Thus, prevention measures on youth depression need to focus on emphasizing less pressure from parents on academic performance, and establishing healthy inter-gender relationships within co-education schools.
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Roley, Michelle E; Kawakami, Ryoko; Baker, Jessica; Hurtado, Gabriela; Chin, Andrew; Hovey, Joseph D
2014-12-01
Acculturative stress is a risk factor for depression, and may be important in the risk for depression among acculturating Japanese adolescents. However, little to no research has been published on the mental health of acculturating Japanese adolescents. Further, although family cohesion has been shown to be protective against depression across ethnic groups, no prior research has examined family cohesion as a protective factor for Japanese adolescents. To examine these relationships, 26 Japanese temporary resident adolescents and 76 parents in the Midwest were recruited to participate. Moderate to strong correlations between acculturative stress, depression, likelihood for and seriousness of family conflict were found. A regression analysis found that likelihood for family conflict moderated the relationship between acculturative stress and depression. Findings broaden our understanding of the role of acculturative stress and family conflict on depression risk for Japanese adolescent immigrants.
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Effect of Exergames on Depression: A Systematic Review and Meta-Analysis.
Li, Jinhui; Theng, Yin-Leng; Foo, Schubert
2016-01-01
Depression is a major public health concern in current society. In recent years many studies began to investigate the potential benefits of exergames on depression. The current study aimed to provide a systematic review to synthesize the existing studies and discover the overall effect size of exergames on treating depression. A comprehensive literature search was conducted among major bibliographic databases in computer technology, psychology, and medical science. Key study characteristics of participants, interventions, and experiment were extracted in the systematic review. Both studies using independent groups and matched groups were included in meta-analysis. Overall effect size of Hedges' g was calculated, followed by subgroup analyses. Nine studies included in the review, while eight studies applying exergames of Nintendo's Wii or Wii Fit. A random effects meta-analysis on eight studies resulted an overall significant effect size of g = 0.21. Demographic factors, depression severity, number of session, and game type were found to be significant moderators for the effectiveness. The study has not only supported the positive effect of exergames on alleviating depression, but also provided many theoretical and practical implications for health professionals and police makers. More rigorous experimental controlled studies are needed in this new research field.
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N-Acetylcysteine in depressive symptoms and functionality: a systematic review and meta-analysis.
Fernandes, Brisa S; Dean, Olivia M; Dodd, Seetal; Malhi, Gin S; Berk, Michael
2016-04-01
To assess the utility of N-acetylcysteine administration for depressive symptoms in subjects with psychiatric conditions using a systematic review and meta-analysis. A computerized literature search was conducted in MEDLINE, Embase, the Cochrane Library, SciELO, PsycINFO, Scopus, and Web of Knowledge. No year or country restrictions were used. The Boolean terms used for the electronic database search were (NAC OR N-acetylcysteine OR acetylcysteine) AND (depression OR depressive OR depressed) AND (trial). The last search was performed in November 2014. The literature was searched for double-blind, randomized, placebo-controlled trials using N-acetylcysteine for depressive symptoms regardless of the main psychiatric condition. Using keywords and cross-referenced bibliographies, 38 studies were identified and examined in depth. Of those, 33 articles were rejected because inclusion criteria were not met. Finally, 5 studies were included. Data were extracted independently by 2 investigators. The primary outcome measure was change in depressive symptoms. Functionality, quality of life, and manic and anxiety symptoms were also examined. A full review and meta-analysis were performed. Standardized mean differences (SMDs) and odds ratios (ORs) with 95% CIs were calculated. Five studies fulfilled our inclusion criteria for the meta-analysis, providing data on 574 participants, of whom 291 were randomized to receive N-acetylcysteine and 283 to placebo. The follow-up varied from 12 to 24 weeks. Two studies included subjects with bipolar disorder and current depressive symptoms, 1 included subjects with MDD in a current depressive episode, and 2 included subjects with depressive symptoms in the context of other psychiatric conditions (1 trichotillomania and 1 heavy smoking). Treatment with N-acetylcysteine improved depressive symptoms as assessed by Montgomery-Asberg Depression Rating Scale and Hamilton Depression Rating Scale when compared to placebo (SMD = 0.37; 95% CI = 0
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Role of Alexithymia, Anxiety, and Depression in Predicting Self-Efficacy in Academic Students
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
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An Original Stepwise Multilevel Logistic Regression Analysis of Discriminatory Accuracy
DEFF Research Database (Denmark)
Merlo, Juan; Wagner, Philippe; Ghith, Nermin
2016-01-01
BACKGROUND AND AIM: Many multilevel logistic regression analyses of "neighbourhood and health" focus on interpreting measures of associations (e.g., odds ratio, OR). In contrast, multilevel analysis of variance is rarely considered. We propose an original stepwise analytical approach that disting...
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Depression and HIV risk among men who have sex with men in Tanzania.
Ahaneku, Hycienth; Ross, Michael W; Nyoni, Joyce E; Selwyn, Beatrice; Troisi, Catherine; Mbwambo, Jessie; Adeboye, Adeniyi; McCurdy, Sheryl
2016-01-01
Studies have shown high rates of depression among men who have sex with men (MSM) in developed countries. Studies have also shown association between depression and HIV risk among MSM. However, very little research has been done on depression among African MSM. We assessed depression and HIV risk among a sample of MSM in Tanzania. We reviewed data on 205 MSM who were recruited from two Tanzanian cities using the respondent driven sampling method. Demographic and behavioral data were collected using a structured questionnaire. HIV and sexually transmitted infections data were determined from biological tests. Depression scores were assessed using the Patient Health Questionnaire (PHQ-9). For the analysis, depression scores were dichotomized as depressed (PHQ > 4) and not depressed (PHQ ≤ 4). Bivariate and multivariable Poisson regression analyses were conducted to assess factors associated with depression. The prevalence of depression in the sample was 46.3%. The mean (±SD) age of the sample was 25 (±5) years. In bivariate analysis, depression was associated with self-identifying as gay (p = .001), being HIV positive (p Depression was also associated with sexual (p = .007), physical (p = .003) and verbal (p depression was associated with verbal abuse (APR = 1.91, CI = 1.30-2.81). Depression rates were high among MSM in Tanzania. It is also associated with abuse, HIV and HIV risk behaviors. Thus, reducing the risk of depression may be helpful in reducing the risk of HIV among MSM in Africa. We recommend the colocation of mental health and HIV preventive services as a cost-effective means of addressing both depression and HIV risk among MSM in Africa.
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Advanced statistics: linear regression, part I: simple linear regression.
Marill, Keith A
2004-01-01
Simple linear regression is a mathematical technique used to model the relationship between a single independent predictor variable and a single dependent outcome variable. In this, the first of a two-part series exploring concepts in linear regression analysis, the four fundamental assumptions and the mechanics of simple linear regression are reviewed. The most common technique used to derive the regression line, the method of least squares, is described. The reader will be acquainted with other important concepts in simple linear regression, including: variable transformations, dummy variables, relationship to inference testing, and leverage. Simplified clinical examples with small datasets and graphic models are used to illustrate the points. This will provide a foundation for the second article in this series: a discussion of multiple linear regression, in which there are multiple predictor variables.
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Friends, Depressive Symptoms, and Life Satisfaction Among Older Korean Americans.
Roh, Soonhee; Lee, Yeon-Shim; Lee, Kyoung Hag; Shibusawa, Tazuko; Yoo, Grace J
2015-08-01
This study examined the interactive effects of social network support and depressive symptoms on life satisfaction among older Korean Americans (KAs). Using data from a sample of 200 elders in a large metropolitan area (M age = 72.50, SD = 5.15), hierarchical regression analysis was used to examine the interaction between social network support and depressive symptoms on life satisfaction among older KAs. After controlling for demographic variables, both social network support and depressive symptoms were identified as predictors for life satisfaction. Interaction effects indicated strong associations between higher social network support specifically from friends and lower depressive symptoms with higher levels of life satisfaction. Findings highlight the important role that friends play in terms of social network support for the mental health of older KAs, and the need for geriatric practitioners to monitor and assess the quality of social network support-including friendships-when working with older KAs.
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Factors Influencing Depression and Anxiety among Black Sexual Minority Men
Directory of Open Access Journals (Sweden)
Louis F. Graham
2011-01-01
Full Text Available The primary aim of this study was to examine the relationships between depression and anxiety, and ethnic and sexual identity development, and discrimination and harassment (DH among Black sexual minority men. Additional aims were to determine whether an interaction effect existed between ethnic and sexual identity and whether coping skills level moderated these relationships. Using an observational cross-sectional design, 54 participants recruited through snowball sampling completed self-administered online surveys. Stepwise multiple regression analysis was used. Sixty-four percent of the variance in depression scores and 53% of the variance in anxiety scores were explained by DH and internalized homonegativity together. Thirty percent of the sample had scale scores indicating likelihood of depression and anxiety. Experience of DH and internalized homonegativity explained a large portion of the variability in depression and anxiety among Black sexual minority men. The study showed high prevalence of mental distress among this sample.
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International Nuclear Information System (INIS)
Leng Ling; Zhang Tianyi; Kleinman, Lawrence; Zhu Wei
2007-01-01
Regression analysis, especially the ordinary least squares method which assumes that errors are confined to the dependent variable, has seen a fair share of its applications in aerosol science. The ordinary least squares approach, however, could be problematic due to the fact that atmospheric data often does not lend itself to calling one variable independent and the other dependent. Errors often exist for both measurements. In this work, we examine two regression approaches available to accommodate this situation. They are orthogonal regression and geometric mean regression. Comparisons are made theoretically as well as numerically through an aerosol study examining whether the ratio of organic aerosol to CO would change with age
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Chung, Ming-Shun; Chiu, Hsien-Jane; Sun, Wen-Jung; Lin, Chieh-Nan; Kuo, Chien-Cheng; Huang, Wei-Che; Chen, Ying-Sheue; Cheng, Hui-Ping; Chou, Pesus
2014-09-01
The aim of this study is to investigate the association among depressive disorder, adjustment disorder, sleep disturbance, and suicidal ideation in Taiwanese adolescent. We recruited 607 students (grades 5-9) to fill out the investigation of basic data and sleep disturbance. Psychiatrists then used the Mini International Neuropsychiatric Interview-Kid to interview these students to assess their suicidal ideation and psychiatric diagnosis. Multiple logistic regression with forward conditionals was used to find the risk factors for multivariate analysis. Female, age, depressive disorder, adjustment disorder, and poor sleep all contributed to adolescent suicidal ideation in univariate analysis. However, poor sleep became non-significant under the control of depressive disorder and adjustment disorder. We found that both depressive disorder and adjustment disorder play important roles in sleep and adolescent suicidal ideation. After controlling both depressive disorder and adjustment disorder, sleep disturbance was no longer a risk of adolescent suicidal ideation. We also confirm the indirect influence of sleep on suicidal ideation in adolescent. © 2013 Wiley Publishing Asia Pty Ltd.
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Directory of Open Access Journals (Sweden)
Yuh-Jin Chung
2017-11-01
Full Text Available In the distribution service industry, sales people often experience multiple occupational stressors such as excessive emotional labor, workplace mistreatment, and job insecurity. The present study aimed to explore the associations of these stressors with depressive symptoms among women sales workers at a clothing shopping mall in Korea. A cross sectional study was conducted on 583 women who consist of clothing sales workers and manual workers using a structured questionnaire to assess demographic factors, occupational stressors, and depressive symptoms. Multiple regression analyses were performed to explore the association of these stressors with depressive symptoms. Scores for job stress subscales such as job demand, job control, and job insecurity were higher among sales workers than among manual workers (p < 0.01. The multiple regression analysis revealed the association between occupation and depressive symptoms after controlling for age, educational level, cohabiting status, and occupational stressors (sβ = 0.08, p = 0.04. A significant interaction effect between occupation and social support was also observed in this model (sβ = −0.09, p = 0.02. The multiple regression analysis stratified by occupation showed that job demand, job insecurity, and workplace mistreatment were significantly associated with depressive symptoms in both occupations (p < 0.05, although the strength of statistical associations were slightly different. We found negative associations of social support (sβ = −0.22, p < 0.01 and emotional effort (sβ = −0.17, p < 0.01 with depressive symptoms in another multiple regression model for sales workers. Emotional dissonance (sβ = 0.23, p < 0.01 showed positive association with depressive symptoms in this model. The result of this study indicated that reducing occupational stressors would be effective for women sales workers to prevent depressive symptoms. In particular, promoting social support could be the most
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Diabetes mellitus is associated with late-onset post-stroke depression.
Zhang, Yu; He, Ji-Rong; Liang, Huai-Bin; Lu, Wen-Jing; Yang, Guo-Yuan; Liu, Jian-Rong; Zeng, Li-Li
2017-10-15
To explore the associated factors of late-onset post-stroke depression (PSD). A total of 251 patients with acute ischemic stroke were recruited. The evaluation of depression was performed 2 weeks after ischemia. 206 patients showing no depression in 2 weeks were followed up. They were divided into late-onset PSD group and non-depressed group by clinical interview with Hamilton depression scale score 3 months after stroke. On the first day following hospitalization, the clinical data including age, gender, educational level and vascular risk factors were recorded. The severity, etiological subtype and location of stroke were evaluated. The inflammatory mediators, glucose and lipid levels were recorded on the day of admission. The association between clinical factors and late-onset PSD was explored by logistic regression analysis. The ROC analysis was performed to evaluate the predicting power of the clinical factors. 187 of 206 patients completed the assessment 3 months after stroke. 19 (10.16%) patients were diagnosed as late onset PSD. Diabetes mellitus was an independent risk factor for late-onset PSD (OR 2.675, p = 0.047). ROC analysis demonstrated that glucose and HbA1C could predict late-onset PSD with specificity of 84.4%. The sample of our study was small. The results should be further confirmed in a larger cohort of patients with acute ischemic stroke. The acute ischemic stroke patients with diabetes mellitus were more tendered to suffer late-onset PSD. Copyright © 2017 Elsevier B.V. All rights reserved.
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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.
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Directory of Open Access Journals (Sweden)
Alexander C Tsai
2016-01-01
Full Text Available Violence against women by intimate partners remains unacceptably common worldwide. The evidence base for the assumed psychological impacts of intimate partner violence (IPV is derived primarily from studies conducted in high-income countries. A recently published systematic review identified 13 studies linking IPV to incident depression, none of which were conducted in sub-Saharan Africa. To address this gap in the literature, we analyzed longitudinal data collected during the course of a 3-y cluster-randomized trial with the aim of estimating the association between IPV and depression symptom severity.We conducted a secondary analysis of population-based, longitudinal data collected from 1,238 pregnant women during a 3-y cluster-randomized trial of a home visiting intervention in Cape Town, South Africa. Surveys were conducted at baseline, 6 mo, 18 mo, and 36 mo (85% retention. The primary explanatory variable of interest was exposure to four types of physical IPV in the past year. Depression symptom severity was measured using the Xhosa version of the ten-item Edinburgh Postnatal Depression Scale. In a pooled cross-sectional multivariable regression model adjusting for potentially confounding time-fixed and time-varying covariates, lagged IPV intensity had a statistically significant association with depression symptom severity (regression coefficient b = 1.04; 95% CI, 0.61-1.47, with estimates from a quantile regression model showing greater adverse impacts at the upper end of the conditional depression distribution. Fitting a fixed effects regression model accounting for all time-invariant confounding (e.g., history of childhood sexual abuse yielded similar findings (b = 1.54; 95% CI, 1.13-1.96. The magnitudes of the coefficients indicated that a one-standard-deviation increase in IPV intensity was associated with a 12.3% relative increase in depression symptom severity over the same time period. The most important limitations of our study
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Depression and Related Problems in University Students
Field, Tiffany; Diego, Miguel; Pelaez, Martha; Deeds, Osvelia; Delgado, Jeannette
2012-01-01
Method: Depression and related problems were studied in a sample of 283 university students. Results: The students with high depression scores also had high scores on anxiety, intrusive thoughts, controlling intrusive thoughts and sleep disturbances scales. A stepwise regression suggested that those problems contributed to a significant proportion…
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Barca, Maria Lage; Engedal, Knut; Laks, Jerson; Selbaek, Geir
2012-01-01
This study explores factors associated with depression in Alzheimer's disease (AD) compared with mild cognitive impairment (MCI) and other dementia disorders. In a prospective study we included 195 patients: 31 with MCI, 112 with AD and 52 with other dementias. According to the ICD-10 and the DSM-IV criteria, 88 (44.1%) and 59 (30.3%), respectively, had a depressive disorder. An adjusted multiple regression analysis showed that previous depression (p depression in AD patients. Severity of dementia (p depressive disorder in a group of patients with frontotemporal dementia, vascular dementia, or dementia due to Lewy Body disease or Parkinson's disease. We found different factors associated with a depressive disorder in AD compared to those found for other dementia disorders.
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Hopelessness, Depression and Life Satisfaction Among The Patients With Multiple Sclerosis
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Güler Duru Aşiret
2014-03-01
Full Text Available OBJECTIVE: This study was carried out to determine the level of hopelessness, depression, and life satisfaction among patients with multiple sclerosis. METHODS: 65 patients with multiple sclerosis, treated at the neurology clinic of a university hospital, were included in this study. In this descriptive study, a data collection form developed by the researchers, the Beck Depression Scale, and the Beck Hopelessness and Life Satisfaction Scale were used. RESULTS: Almost half (43.1% of the patients exhibited severe depressive symptoms. Patients’ hopelessness and life satisfaction levels were moderate. The scores on depression and life satisfaction scales were correlated negatively. While patients’ traits including female gender, low economic level, difficulties in walking, and fatigue were associated with reduced life satisfaction; variables such as having a child, low economic and education levels, experiencing incontinence, and fatigue were related to a higher level of depressive symptoms. CONCLUSION: The majority of patients were depressed; life satisfaction and hopelessness levels were moderate. Linear regression analysis revealed that education and emotional problems determined 42% of the depression score; and economic level and emotional problems identified 32% of the life satisfaction score
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Directory of Open Access Journals (Sweden)
Avanci Joviana
2012-07-01
Full Text Available Abstract Background Childhood depression affects the morbidity, mortality and life functions of children. Individual, family and environmental factors have been documented as psychosocial risk factors for childhood depression, especially family violence, which results in inadequate support, low family cohesion and poor communication. This study investigates the association between psychosocial depression factors in low-income schoolchildren and reveals the potential trouble spots, highlighting several forms of violence that take place within the family context. Methods The study was based on a cross-sectional analysis of 464 schoolchildren aged between 6 and 10, selected by random sampling from a city in the state of Rio de Janeiro, Brazil. Socio-economic, family and individual variables were investigated on the strength of the caregivers’ information and organized in blocks for analysis. A binary logistic regression model was applied, according to hierarchical blocks. Results The final hierarchical regression analysis showed that the following variables are potential psychosocial factors associated with depression in childhood: average/poor relationship with the father (OR 3.24, 95% CI 1.32-7.94, high frequency of victimization by psychological violence (humiliation (OR 6.13, 95% CI 2.06-18.31, parental divorce (OR 2.89, 95% CI 1.14-7.32 and externalizing behavior problems (OR 3.53 IC 1.51-8.23. Conclusions The results point to multiple determinants of depressive behavior in children, as well as the potential contribution of psychological family violence. The study also reveals potential key targets for early intervention, especially for children from highly vulnerable families.
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2012-01-01
Background Childhood depression affects the morbidity, mortality and life functions of children. Individual, family and environmental factors have been documented as psychosocial risk factors for childhood depression, especially family violence, which results in inadequate support, low family cohesion and poor communication. This study investigates the association between psychosocial depression factors in low-income schoolchildren and reveals the potential trouble spots, highlighting several forms of violence that take place within the family context. Methods The study was based on a cross-sectional analysis of 464 schoolchildren aged between 6 and 10, selected by random sampling from a city in the state of Rio de Janeiro, Brazil. Socio-economic, family and individual variables were investigated on the strength of the caregivers’ information and organized in blocks for analysis. A binary logistic regression model was applied, according to hierarchical blocks. Results The final hierarchical regression analysis showed that the following variables are potential psychosocial factors associated with depression in childhood: average/poor relationship with the father (OR 3.24, 95% CI 1.32-7.94), high frequency of victimization by psychological violence (humiliation) (OR 6.13, 95% CI 2.06-18.31), parental divorce (OR 2.89, 95% CI 1.14-7.32) and externalizing behavior problems (OR 3.53 IC 1.51-8.23). Conclusions The results point to multiple determinants of depressive behavior in children, as well as the potential contribution of psychological family violence. The study also reveals potential key targets for early intervention, especially for children from highly vulnerable families. PMID:22776354
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Coping Styles, Aggression and Interpersonal Conflicts among Depressed and Non-Depressed People.
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.
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Coping Styles, Aggression and Interpersonal Conflicts among Depressed and Non-Depressed People
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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.
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Forecasting urban water demand: A meta-regression analysis.
Sebri, Maamar
2016-12-01
Water managers and planners require accurate water demand forecasts over the short-, medium- and long-term for many purposes. These range from assessing water supply needs over spatial and temporal patterns to optimizing future investments and planning future allocations across competing sectors. This study surveys the empirical literature on the urban water demand forecasting using the meta-analytical approach. Specifically, using more than 600 estimates, a meta-regression analysis is conducted to identify explanations of cross-studies variation in accuracy of urban water demand forecasting. Our study finds that accuracy depends significantly on study characteristics, including demand periodicity, modeling method, forecasting horizon, model specification and sample size. The meta-regression results remain robust to different estimators employed as well as to a series of sensitivity checks performed. The importance of these findings lies in the conclusions and implications drawn out for regulators and policymakers and for academics alike. Copyright © 2016. Published by Elsevier Ltd.
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Anderson, Carl A; McRae, Allan F; Visscher, Peter M
2006-07-01
Standard quantitative trait loci (QTL) mapping techniques commonly assume that the trait is both fully observed and normally distributed. When considering survival or age-at-onset traits these assumptions are often incorrect. Methods have been developed to map QTL for survival traits; however, they are both computationally intensive and not available in standard genome analysis software packages. We propose a grouped linear regression method for the analysis of continuous survival data. Using simulation we compare this method to both the Cox and Weibull proportional hazards models and a standard linear regression method that ignores censoring. The grouped linear regression method is of equivalent power to both the Cox and Weibull proportional hazards methods and is significantly better than the standard linear regression method when censored observations are present. The method is also robust to the proportion of censored individuals and the underlying distribution of the trait. On the basis of linear regression methodology, the grouped linear regression model is computationally simple and fast and can be implemented readily in freely available statistical software.
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Immigration Transition and Depressive Symptoms: Four Major Ethnic Groups of Midlife Women in the U.S
Im, Eun-Ok; Rendell Endowed, Marjorie O.; Chang, Sun Ju; Chee, Wonshik; Chee, Eunice; Mao, Jun
2015-01-01
Our purpose of this study was to explore the relationships between immigration transition and depressive symptoms among 1,054 midlife women in the U.S. This was a secondary analysis of the data from two national Internet survey studies. Questions on background characteristics and immigration transition and the Depression Index for Midlife Women were used to collect the data. The data were analyzed using inferential statistics including multiple regressions. Immigrants reported lower numbers of and less severe symptoms than non-immigrants (p immigration status were significant predictors of depressive symptoms (R2=.01, p<.05). PMID:24875592
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Chen, Sung-Wei; Wang, Po-Chuan; Hsin, Ping-Lung; Oates, Anthony; Sun, I-Wen; Liu, Shen-Ing
2011-01-01
Microelectronic engineers are considered valuable human capital contributing significantly toward economic development, but they may encounter stressful work conditions in the context of a globalized industry. The study aims at identifying risk factors of depressive disorders primarily based on job stress models, the Demand-Control-Support and Effort-Reward Imbalance models, and at evaluating whether depressive disorders impair work performance in microelectronics engineers in Taiwan. The case-control study was conducted among 678 microelectronics engineers, 452 controls and 226 cases with depressive disorders which were defined by a score 17 or more on the Beck Depression Inventory and a psychiatrist's diagnosis. The self-administered questionnaires included the Job Content Questionnaire, Effort-Reward Imbalance Questionnaire, demography, psychosocial factors, health behaviors and work performance. Hierarchical logistic regression was applied to identify risk factors of depressive disorders. Multivariate linear regressions were used to determine factors affecting work performance. By hierarchical logistic regression, risk factors of depressive disorders are high demands, low work social support, high effort/reward ratio and low frequency of physical exercise. Combining the two job stress models may have better predictive power for depressive disorders than adopting either model alone. Three multivariate linear regressions provide similar results indicating that depressive disorders are associated with impaired work performance in terms of absence, role limitation and social functioning limitation. The results may provide insight into the applicability of job stress models in a globalized high-tech industry considerably focused in non-Western countries, and the design of workplace preventive strategies for depressive disorders in Asian electronics engineering population.
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The use of cognitive ability measures as explanatory variables in regression analysis.
Junker, Brian; Schofield, Lynne Steuerle; Taylor, Lowell J
2012-12-01
Cognitive ability measures are often taken as explanatory variables in regression analysis, e.g., as a factor affecting a market outcome such as an individual's wage, or a decision such as an individual's education acquisition. Cognitive ability is a latent construct; its true value is unobserved. Nonetheless, researchers often assume that a test score , constructed via standard psychometric practice from individuals' responses to test items, can be safely used in regression analysis. We examine problems that can arise, and suggest that an alternative approach, a "mixed effects structural equations" (MESE) model, may be more appropriate in many circumstances.
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Multiple Imputation of a Randomly Censored Covariate Improves Logistic Regression Analysis.
Atem, Folefac D; Qian, Jing; Maye, Jacqueline E; Johnson, Keith A; Betensky, Rebecca A
2016-01-01
Randomly censored covariates arise frequently in epidemiologic studies. The most commonly used methods, including complete case and single imputation or substitution, suffer from inefficiency and bias. They make strong parametric assumptions or they consider limit of detection censoring only. We employ multiple imputation, in conjunction with semi-parametric modeling of the censored covariate, to overcome these shortcomings and to facilitate robust estimation. We develop a multiple imputation approach for randomly censored covariates within the framework of a logistic regression model. We use the non-parametric estimate of the covariate distribution or the semiparametric Cox model estimate in the presence of additional covariates in the model. We evaluate this procedure in simulations, and compare its operating characteristics to those from the complete case analysis and a survival regression approach. We apply the procedures to an Alzheimer's study of the association between amyloid positivity and maternal age of onset of dementia. Multiple imputation achieves lower standard errors and higher power than the complete case approach under heavy and moderate censoring and is comparable under light censoring. The survival regression approach achieves the highest power among all procedures, but does not produce interpretable estimates of association. Multiple imputation offers a favorable alternative to complete case analysis and ad hoc substitution methods in the presence of randomly censored covariates within the framework of logistic regression.
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Temporal trends in sperm count: a systematic review and meta-regression analysis.
Levine, Hagai; Jørgensen, Niels; Martino-Andrade, Anderson; Mendiola, Jaime; Weksler-Derri, Dan; Mindlis, Irina; Pinotti, Rachel; Swan, Shanna H
2017-11-01
Reported declines in sperm counts remain controversial today and recent trends are unknown. A definitive meta-analysis is critical given the predictive value of sperm count for fertility, morbidity and mortality. To provide a systematic review and meta-regression analysis of recent trends in sperm counts as measured by sperm concentration (SC) and total sperm count (TSC), and their modification by fertility and geographic group. PubMed/MEDLINE and EMBASE were searched for English language studies of human SC published in 1981-2013. Following a predefined protocol 7518 abstracts were screened and 2510 full articles reporting primary data on SC were reviewed. A total of 244 estimates of SC and TSC from 185 studies of 42 935 men who provided semen samples in 1973-2011 were extracted for meta-regression analysis, as well as information on years of sample collection and covariates [fertility group ('Unselected by fertility' versus 'Fertile'), geographic group ('Western', including North America, Europe Australia and New Zealand versus 'Other', including South America, Asia and Africa), age, ejaculation abstinence time, semen collection method, method of measuring SC and semen volume, exclusion criteria and indicators of completeness of covariate data]. The slopes of SC and TSC were estimated as functions of sample collection year using both simple linear regression and weighted meta-regression models and the latter were adjusted for pre-determined covariates and modification by fertility and geographic group. Assumptions were examined using multiple sensitivity analyses and nonlinear models. SC declined significantly between 1973 and 2011 (slope in unadjusted simple regression models -0.70 million/ml/year; 95% CI: -0.72 to -0.69; P regression analysis reports a significant decline in sperm counts (as measured by SC and TSC) between 1973 and 2011, driven by a 50-60% decline among men unselected by fertility from North America, Europe, Australia and New Zealand. Because
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Takagi, Daisuke; Ikeda, Ken'ichi; Kawachi, Ichiro
2012-11-01
Crime is an important determinant of public health outcomes, including quality of life, mental well-being, and health behavior. A body of research has documented the association between community social capital and crime victimization. The association between social capital and crime victimization has been examined at multiple levels of spatial aggregation, ranging from entire countries, to states, metropolitan areas, counties, and neighborhoods. In multilevel analysis, the spatial boundaries at level 2 are most often drawn from administrative boundaries (e.g., Census tracts in the U.S.). One problem with adopting administrative definitions of neighborhoods is that it ignores spatial spillover. We conducted a study of social capital and crime victimization in one ward of Tokyo city, using a spatial Durbin model with an inverse-distance weighting matrix that assigned each respondent a unique level of "exposure" to social capital based on all other residents' perceptions. The study is based on a postal questionnaire sent to 20-69 years old residents of Arakawa Ward, Tokyo. The response rate was 43.7%. We examined the contextual influence of generalized trust, perceptions of reciprocity, two types of social network variables, as well as two principal components of social capital (constructed from the above four variables). Our outcome measure was self-reported crime victimization in the last five years. In the spatial Durbin model, we found that neighborhood generalized trust, reciprocity, supportive networks and two principal components of social capital were each inversely associated with crime victimization. By contrast, a multilevel regression performed with the same data (using administrative neighborhood boundaries) found generally null associations between neighborhood social capital and crime. Spatial regression methods may be more appropriate for investigating the contextual influence of social capital in homogeneous cultural settings such as Japan. Copyright
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Maternal Depression Increases Childhood Dental Caries: A Cohort Study in Brazil.
Dos Santos Pinto, Gabriela; de Ávila Quevedo, Luciana; Britto Correa, Marcos; Sousa Azevedo, Marina; Leão Goettems, Marília; Tavares Pinheiro, Ricardo; Demarco, Flávio Fernando
2017-01-01
To investigate the relationship between maternal depression and childhood caries in a cohort of adolescent mothers. This cross-sectional study nested in a cohort evaluated a sample of 538 mother/child dyads. When the children were 24-36 months of age, data regarding oral health from children and mothers were collected by clinical dental examination. A mother's major depressive disorder was assessed by using the Mini International Neuropsychiatric Interview (MINI [Plus]), at the current moment. Independent variables were obtained by using questionnaires. The outcome on dental caries experience was dichotomized by using 2 cut points: dmfs ≥1 and dmfs ≥3. Poisson regression analysis, using a hierarchical approach, was applied to assess the association between major depressive disorder in mothers with and those without caries experience and the outcome. The prevalence of dental caries in children was 15.1% (n = 82). The mean dmfs index was 1.12 (SD = 3.72). The prevalence of major depressive disorder was 32.6% (n = 168). An interaction between caries status and depressive disorder was found, and after adjusted analysis, children from mothers with major depressive disorder with negative caries experience presented a higher caries prevalence (prevalence ratio 4.00, 95% confidence interval 1.29-12.41). Our findings suggest that maternal psychiatric disorders could have a negative impact on children's oral health. © 2016 S. Karger AG, Basel.
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Socioeconomic inequalities in adolescent depression in South Korea: a multilevel analysis.
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Hye Yin Park
Full Text Available BACKGROUND: In recent years, South Korea has witnessed a sustained rise in the prevalence of adolescent depression. In the present study, we sought to investigate family and school environmental influences on adolescent depression. METHODS AND FINDINGS: Middle and high school students (N = 75,066 were randomly selected respondents to a web-based survey and answered questions on their academic and socioeconomic backgrounds, parental support, parental education level, physical activities, lifestyle habits and their experience of depression in the past one year. Two-level multilevel analysis was used to investigate the relationship between depression and individual (level 1 and school (level 2 factors. Girls reported having experienced depression in greater numbers than boys (43.96% vs. 32.03%. A significant association was found between adolescent depression experience and gender, grade, self-rated academic achievement, family affluence scale, parental support, parental education level, lifestyle habits, physical activity and sleep dissatisfaction. The students living with rich parents were more likely to be depressive, and maternal higher education was significantly associated with higher probability of boys' depression experience. Low academic achievement was highly associated with the experience of depression. In school level contexts, girls were found to be less likely to be depressive in girls-only schools. CONCLUSION: The adolescent depression experience is not only an individual phenomenon but is highly associated with other factors such as parents, peers, academic achievement, and even gender mix in the school. Thus, prevention measures on youth depression need to focus on emphasizing less pressure from parents on academic performance, and establishing healthy inter-gender relationships within co-education schools.
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2011-01-01
Background Effective treatment strategies for chronic depression are urgently needed since it is not only a common and particularly disabling disorder, but is also considered treatment resistant by most clinicians. There are only a few studies on chronic depression indicating that traditional psycho- and pharmacological interventions are not as effective as in acute, episodic depression. Current medications are no more effective than those introduced 50 years ago whereas the only psychotherapy developed specifically for the subgroup of chronic depression, the Cognitive Behavioral Analysis System of Psychotherapy (CBASP), faired well in one large trial. However, CBASP has never been directly compared to a non-specific control treatment. Methods/Design The present article describes the study protocol of a multisite parallel-group randomized controlled trial in Germany. The purpose of the study is to estimate the efficacy of CBASP compared to supportive psychotherapy in 268 non-medicated early-onset chronically depressed outpatients. The intervention includes 20 weeks of acute treatment with 24 individual sessions followed by 28 weeks of continuation treatment with another 8 sessions. Depressive symptoms are evaluated 20 weeks after randomisation by means of the 24-item Hamilton Rating Scale of Depression (HRSD). Secondary endpoints are depressive symptoms after 12 and 48 weeks, and remission after 12, 20, and 48 weeks. Primary outcome will be analysed using analysis of covariance (ANCOVA) controlled for pre-treatment scores and site. Analyses of continuous secondary variables will be performed using linear mixed models. For remission rates, chi-squared tests and logistic regression will be applied. Discussion The study evaluates the comparative effects of a disorder-specific psychotherapy and a well designed non-specific psychological approach in the acute and continuation treatment phase in a large sample of early-onset chronically depressed patients. Trial
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Prevalence of Depression among University Students: A Systematic Review and Meta-Analysis Study
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Diana Sarokhani
2013-01-01
Full Text Available Introduction. Depression is one of the four major diseases in the world and is the most common cause of disability from diseases. The aim of this study is to estimate the prevalence of depression among Iranian university students using meta-analysis method. Materials and Methods. Keyword depression was searched in electronic databases such as PubMed, Scopus, MAGIran, Medlib, and SID. Data was analyzed using meta-analysis (random-effects model. Heterogeneity of studies was assessed using the I2 index. Data was analyzed using STATA software Ver.10. Results. In 35 studies conducted in Iran from 1995 to 2012 with sample size of 9743, prevalence of depression in the university students was estimated to be 33% (95% CI: 32–34. The prevalence of depression among boys was estimated to be 28% (95% CI: 26–30, among girls 23% (95% CI: 22–24, single students 39% (95% CI: 37–41, and married students 20% (95% CI: 17–24. Metaregression model showed that the trend of depression among Iranian students was flat. Conclusions. On the whole, depression is common in university students with no preponderance between males and females and in single students is higher than married ones.
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Depression and caregiver burden experienced by caregivers of Jordanian patients with stroke.
Kamel, Andaleeb Abu; Bond, A Elaine; Froelicher, Erika Sivarajan
2012-04-01
Many stroke survivors will be cared for at home, primarily by their relatives. Providing care to a family member with a chronic disabling disease can be both emotionally and physically distressing for the caregivers. The purpose of this study was to investigate the relationship between patients' characteristics, duration of caregiving, daily caregiving time, caregiver's characteristics, caregiver depression and burden in caregivers of patients with stroke. A cross-sectional design was used with a convenience sample of 116 subjects. The Center of Epidemiologic Studies of Depression and the Caregiver Strain Index were used to identify caregiver depression and burden, respectively. Logistic regression analysis identified the influence of independent variables on caregiver depression and caregiver burden. Caregivers had high scores for depression and burden indices. Caregivers' health, receiving professional home health care and caregivers' burden were related to caregiver depression. Functional disabilities of patients with stroke and depression of caregivers were related to caregiver burden. To decrease caregiver depression and burden, nurses must provide caregivers with instructions for home management of patients with stroke. Development of specialized stroke home health services in Jordan that targets patients with stroke and their caregivers are recommended. © 2012 Blackwell Publishing Asia Pty Ltd.
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Directory of Open Access Journals (Sweden)
Ruixue Huang
2016-08-01
Full Text Available It has been reported that gut probiotics play a major role in the bidirectional communication between the gut and the brain. Probiotics may be essential to people with depression, which remains a global health challenge, as depression is a metabolic brain disorder. However, the efficacy of probiotics for depression is controversial. This study aimed to systematically review the existing evidence on the effect of probiotics-based interventions on depression. Randomized, controlled trials, identified through screening multiple databases and grey literature, were included in the meta-analysis. The meta-analysis was performed using Review Manager 5.3 software using a fixed-effects model. The meta-analysis showed that probiotics significantly decreased the depression scale score (MD (depressive disorder = −0.30, 95% CI (−0.51–−0.09, p = 0.005 in the subjects. Probiotics had an effect on both the healthy population (MD = −0.25, 95% CI (−0.47–−0.03, p = 0.03 and patients with major depressive disorder (MDD (MD = −0.73, 95% CI (−1.37–−0.09, p = 0.03. Probiotics had an effect on the population aged under 60 (MD = −0.43, 95% CI (−0.72–−0.13, p = 0.005, while it had no effect on people aged over 65 (MD = −0.18, 95% CI (−0.47–0.11, p = 0.22. This is the first systematic review and meta-analysis with the goal of determining the effect of probiotics on depression. We found that probiotics were associated with a significant reduction in depression, underscoring the need for additional research on this potential preventive strategy for depression.
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Introduction to regression graphics
Cook, R Dennis
2009-01-01
Covers the use of dynamic and interactive computer graphics in linear regression analysis, focusing on analytical graphics. Features new techniques like plot rotation. The authors have composed their own regression code, using Xlisp-Stat language called R-code, which is a nearly complete system for linear regression analysis and can be utilized as the main computer program in a linear regression course. The accompanying disks, for both Macintosh and Windows computers, contain the R-code and Xlisp-Stat. An Instructor's Manual presenting detailed solutions to all the problems in the book is ava
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Lin, Huang-Chi; Tang, Tze-Chun; Yen, Ju-Yu; Ko, Chin-Hung; Huang, Chi-Fen; Liu, Shu-Chun; Yen, Cheng-Fang
2008-08-01
The aim of the present study was to gain insight into the prevalence of depression and its association with self-esteem, family, peer and school factors in a large-scale representative Taiwanese adolescent population. A total of 12,210 adolescent students were recruited into the present study. Subjects with a score >28 on the Center for Epidemiological Studies' Depression Scale were defined as having significant depression; the Rosenberg Self-Esteem Scale, Adolescent Family and Social Life Questionnaire and Family C-APGAR Index were applied to assess subjects' self-esteem, family, peer and school factors. The association between depression and correlates were examined on t-test and chi(2) test. The significant factors were further included in logistic regression analysis. Among 9586 participants (response rate: 86.3%), the prevalence of depression was 12.3%. The risk factors associated with depression in univariate analysis included female gender, older age, residency in urban areas, lower self-esteem, disruptive parental marriage, low family income, family conflict, poorer family function, less satisfaction with peer relationships, less connectedness to school, and poor academic performance. After adjusting the effects of sex, age and location, only subjects with lower self-esteem, higher family conflict, poorer family function, lower rank and decreased satisfaction in their peer group, and less connectedness to school were prone to depression on logistic regression. The prevalence of depression is high in Taiwanese adolescents, and the multiple factors of family, peer, school and individuals are associated with adolescent depression. The factors identified in the present study may be helpful when designing and implementing preventive intervention programs.
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Chang, Ke-Vin; Hsu, Tsai-Hsuan; Wu, Wei-Ting; Huang, Kuo-Chin; Han, Der-Sheng
2017-09-01
to explore whether sarcopenia is associated with depression. electronic literature databases from PubMed, Scopus, Embase and Google Scholar were searched. A systematic review and meta-analysis of observational studies was conducted. community and outpatient clinic. people with and without diagnoses of sarcopenia. outcome measures of depression. about 15 articles were included, 5 of which were retrieved for narrative review. The crude odds ratios (ORs) between sarcopenia and depression were extracted from the remaining 10 studies, 6 of which also included adjusted ORs. Sarcopenia was associated with depression without adjusting covariates (crude OR, 1.640; 95% confidence interval (CI), 1.247-2.155). After adjusting for potential confounders such as age, gender, cognitive performance and physical activity, sarcopenia still demonstrated a significant positive association with depression (adjusted OR, 1.821; 95% CI, 1.160-2.859). A stratified analysis showed that the studies that used bioelectrical impedance analysis for measurement of body composition tended to have an elevated association between sarcopenia and depression compared with those that used dual-energy X-ray absorptiometry or equation estimation. sarcopenia was independently associated with depression. The causal relationship between the two clinical conditions requires future validation with cohort studies. © The Author 2017. Published by Oxford University Press on behalf of the British Geriatrics Society.All rights reserved. For permissions, please email: journals.permissions@oup.com
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Inflammatory dietary pattern and risk of depression among women.
Lucas, Michel; Chocano-Bedoya, Patricia; Schulze, Matthias B; Shulze, Mathias B; Mirzaei, Fariba; O'Reilly, Éilis J; Okereke, Olivia I; Hu, Frank B; Willett, Walter C; Ascherio, Alberto
2014-02-01
Inflammation is considered as a mechanism leading to depression, but the association between inflammatory dietary pattern and depression risk is unknown. Using reduced-rank regression, we identified a dietary pattern that was related to plasma levels of inflammatory markers (C-reactive protein, interleukin-6, tumor necrosis factor α receptor 2), and we conducted a prospective analysis of the relationship of this pattern and depression risk among participants in the Nurses' Health Study. A total of 43,685 women (aged 50-77) without depression at baseline (1996) were included and followed up until 2008. Diet information was obtained from food frequency questionnaires completed between 1984 through 2002 and computed as cumulative average of dietary intakes with a 2-year latency applied. We used a strict definition of depression that required both self-reported physician-diagnosed depression and use of antidepressants, and a broader definition that included women who reported either clinical diagnosis or antidepressant use. During the 12-year follow-up, we documented 2594 incident cases of depression using the stricter definition and 6446 using the broader definition. After adjustment for body mass index and other potential confounders, relative risks comparing extreme quintiles of the inflammatory dietary pattern were 1.41 (95% confidence interval [CI], 1.22, 1.63; P-trenddietary pattern is associated with a higher depression risk. This finding suggests that chronic inflammation may underlie the association between diet and depression. Copyright © 2013 Elsevier Inc. All rights reserved.
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Gressier, F; Letranchant, A; Cazas, O; Sutter-Dallay, A L; Falissard, B; Hardy, P
2015-11-01
Does medically assisted conception increase the risk of post-partum depressive symptoms? Our literature review and meta-analysis showed no increased risk of post-partum depressive symptoms in women after medically assisted conception. Women who conceive with medically assisted conception, which can be considered as a stressful life event, could face an increased risk of depressive symptoms. However, no previous meta-analysis has been performed on the association between medically assisted conception and post-partum depressive symptoms. A systematic review with electronic searches of PubMed, ISI Web of Knowledge and PsycINFO databases up to December 2014 was conducted to identify articles evaluating post-partum depressive symptoms in women who had benefited from medically assisted conception compared with those with a spontaneous pregnancy. Meta-analyses were also performed on clinically significant post-partum depressive symptoms according to PRISMA guidelines. From 569 references, 492 were excluded on title, 42 on abstract and 17 others on full-text. Therefore, 18 studies were included in the review and 8 in the meta-analysis (2451 women) on clinically significant post-partum depressive symptoms after medically assisted conception compared with a spontaneous pregnancy. A sensitivity meta-analysis on assisted reproductive technologies and spontaneous pregnancy (6 studies, 1773 women) was also performed. The quality of the studies included in the meta-analyses was evaluated using the Strengthening the Reporting of Observational Studies in Epidemiology Statement for observational research. The data were pooled using RevMan software by the Cochrane Collaboration. Heterogeneity between studies was assessed from the results of the χ(2) and I(2) statistics. Biases were assessed with funnel plots and Egger's test. A fixed effects model was used for the meta-analyses because of the low level of heterogeneity between the studies. The systematic review of studies examining
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Analysis of γ spectra in airborne radioactivity measurements using multiple linear regressions
International Nuclear Information System (INIS)
Bao Min; Shi Quanlin; Zhang Jiamei
2004-01-01
This paper describes the net peak counts calculating of nuclide 137 Cs at 662 keV of γ spectra in airborne radioactivity measurements using multiple linear regressions. Mathematic model is founded by analyzing every factor that has contribution to Cs peak counts in spectra, and multiple linear regression function is established. Calculating process adopts stepwise regression, and the indistinctive factors are eliminated by F check. The regression results and its uncertainty are calculated using Least Square Estimation, then the Cs peak net counts and its uncertainty can be gotten. The analysis results for experimental spectrum are displayed. The influence of energy shift and energy resolution on the analyzing result is discussed. In comparison with the stripping spectra method, multiple linear regression method needn't stripping radios, and the calculating result has relation with the counts in Cs peak only, and the calculating uncertainty is reduced. (authors)
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Ulbrich, N.; Volden, T.
2018-01-01
Analysis and use of temperature-dependent wind tunnel strain-gage balance calibration data are discussed in the paper. First, three different methods are presented and compared that may be used to process temperature-dependent strain-gage balance data. The first method uses an extended set of independent variables in order to process the data and predict balance loads. The second method applies an extended load iteration equation during the analysis of balance calibration data. The third method uses temperature-dependent sensitivities for the data analysis. Physical interpretations of the most important temperature-dependent regression model terms are provided that relate temperature compensation imperfections and the temperature-dependent nature of the gage factor to sets of regression model terms. Finally, balance calibration recommendations are listed so that temperature-dependent calibration data can be obtained and successfully processed using the reviewed analysis methods.
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Factors associated with unwillingness to seek professional help for depression: a web-based survey.
Yoshikawa, Eisho; Taniguchi, Toshiatsu; Nakamura-Taira, Nanako; Ishiguro, Shin; Matsumura, Hiromichi
2017-12-04
Depression is a prevalent disorder that has a substantial impact on not only individuals but also society as a whole. Despite many effective depression interventions, delay in initial treatment contact is problematic. The Internet is a possible tool for low-cost dissemination of appropriate information and awareness raising about depressive disorders among the general public. This study aimed to identify factors associated with unwillingness to seek professional help for depression in Internet users. This web-based cross-sectional study surveyed 595 participants who scored over the cutoff point for depression on a self-rated mental-health questionnaire for depression, had never been assessed or treated by a mental health professional, and were experiencing depressive symptoms for at least 6 months. Among the 595 participants, 329 (55.3%) reported they were unwilling to seek professional help for depression. Regression analysis indicated that unwillingness to seek professional help for depression was associated with male sex and financial issues as a depression trigger, and that willingness to seek professional help was associated with problems with interpersonal relationships. The Internet warrants further complementary investigation to elucidate factors associated with unwillingness to seek professional help for depression.
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Intimate Partner Violence Associated with Postpartum Depression, Regardless of Socioeconomic Status.
Kothari, Catherine L; Liepman, Michael R; Shama Tareen, R; Florian, Phyllis; Charoth, Remitha M; Haas, Suzanne S; McKean, Joseph W; Moe, Angela; Wiley, James; Curtis, Amy
2016-06-01
Objective This study examined whether socioeconomic status moderated the association between intimate partner violence (IPV) and postpartum depression among a community-based sample of women. Defining the role of poverty in the risk of postpartum depression for IPV victims enables prioritization of health promotion efforts to maximize the effectiveness of existing maternal-infant resources. Methods This cross-sectional telephone-survey study interviewed 301 postpartum women 2 months after delivery, screening them for IPV and depression [using Edinburgh Postnatal Depression Scale (EPDS)]. Socioeconomic status was defined by insurance (Medicaid-paid-delivery or not). This analysis controlled for the following covariates, collected through interview and medical-record review: demographics, obstetric history, prenatal health and additional psychosocial risk factors. After adjusting for significant covariates, multiple linear regression was conducted to test whether socioeconomic status confounded or moderated IPV's relationship with EPDS-score. Results Ten percent of participants screened positive for postpartum depression, 21.3 % screened positive for current or previous adult emotional or physical abuse by a partner, and 32.2 % met poverty criteria. IPV and poverty were positively associated with each other (χ(2) (1) = 11.76, p < .001) and with EPDS score (IPV: beta 3.2 (CI 2.0, 4.5) p < .001, poverty: beta 1.3 (CI 0.2, 2.4) p = .017). In the multiple linear regression, IPV remained significantly associated, but poverty did not (IPV: adjusted beta 3.1 (CI 1.8, 4.3) p < .001, poverty: adjusted beta 0.8 (CI -0.3, 1.9) p = .141), and no statistically significant interaction between IPV and poverty was found. Conclusions Study findings illustrated that IPV was strongly associated with postpartum depression, outweighing the influence of socioeconomic status upon depression for postpartum women.
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Kovalska, M P; Bürki, E; Schoetzau, A; Orguel, S F; Orguel, S; Grieshaber, M C
2011-04-01
The distinction of real progression from test variability in visual field (VF) series may be based on clinical judgment, on trend analysis based on follow-up of test parameters over time, or on identification of a significant change related to the mean of baseline exams (event analysis). The aim of this study was to compare a new population-based method (Octopus field analysis, OFA) with classic regression analyses and clinical judgment for detecting glaucomatous VF changes. 240 VF series of 240 patients with at least 9 consecutive examinations available were included into this study. They were independently classified by two experienced investigators. The results of such a classification served as a reference for comparison for the following statistical tests: (a) t-test global, (b) r-test global, (c) regression analysis of 10 VF clusters and (d) point-wise linear regression analysis. 32.5 % of the VF series were classified as progressive by the investigators. The sensitivity and specificity were 89.7 % and 92.0 % for r-test, and 73.1 % and 93.8 % for the t-test, respectively. In the point-wise linear regression analysis, the specificity was comparable (89.5 % versus 92 %), but the sensitivity was clearly lower than in the r-test (22.4 % versus 89.7 %) at a significance level of p = 0.01. A regression analysis for the 10 VF clusters showed a markedly higher sensitivity for the r-test (37.7 %) than the t-test (14.1 %) at a similar specificity (88.3 % versus 93.8 %) for a significant trend (p = 0.005). In regard to the cluster distribution, the paracentral clusters and the superior nasal hemifield progressed most frequently. The population-based regression analysis seems to be superior to the trend analysis in detecting VF progression in glaucoma, and may eliminate the drawbacks of the event analysis. Further, it may assist the clinician in the evaluation of VF series and may allow better visualization of the correlation between function and structure owing to VF
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Ellis, Lee; Hoskin, Anthony
2018-04-01
Research has documented that both unipolar and bipolar depression are positively correlated with involvement in delinquency and crime. The present study sought to broaden the understanding of these relationships by looking for links between offending and family histories of depressive symptoms in relationship to offspring delinquency. More than 6,000 college students and their mothers provided self-reported information regarding feelings of depression. Students provided self-reports of involvement in various categories of offending and drug use from ages 10 through 18. Numerous significant positive correlations were found between general feelings of depression and of manic depression and involvement in delinquency. The depression-delinquency relationships were strongest when considering offspring themselves, although maternal depression symptoms were also associated with various forms of offspring delinquency and drug use. To help assess the causal chains that might be involved, multiple regression and mediation analysis revealed that parental depression enhanced the probability of offspring feeling depressed and may have thereby contributed to offspring being delinquent, particularly in the case of manic depression. This study reconfirmed the well-established relationship between depression and involvement in delinquency and drug use, and suggests that it extends back to parental forms of depression, especially by the mother.
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Psychotherapy for chronic major depression and dysthymia: A meta analysis.
Cuijpers, P.; Straten, van A.; Schuurmans, J.; Oppen, van P.C.; Hollon, S.D.; Andersson, G.
2009-01-01
Abstract Although several studies have examined the effects of psychotherapy on chronic depression and dysthymia, no meta-analysis has been conducted to integrate results of these studies. We conducted a meta-analysis of 16 randomized trials examining the effects of psychotherapy on chronic
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Selective principal component regression analysis (SPCR) uses a subset of the original image bands for principal component transformation and regression. For optimal band selection before the transformation, this paper used genetic algorithms (GA). In this case, the GA process used the regression co...
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Determining Balıkesir’s Energy Potential Using a Regression Analysis Computer Program
Directory of Open Access Journals (Sweden)
Bedri Yüksel
2014-01-01
Full Text Available Solar power and wind energy are used concurrently during specific periods, while at other times only the more efficient is used, and hybrid systems make this possible. When establishing a hybrid system, the extent to which these two energy sources support each other needs to be taken into account. This paper is a study of the effects of wind speed, insolation levels, and the meteorological parameters of temperature and humidity on the energy potential in Balıkesir, in the Marmara region of Turkey. The relationship between the parameters was studied using a multiple linear regression method. Using a designed-for-purpose computer program, two different regression equations were derived, with wind speed being the dependent variable in the first and insolation levels in the second. The regression equations yielded accurate results. The computer program allowed for the rapid calculation of different acceptance rates. The results of the statistical analysis proved the reliability of the equations. An estimate of identified meteorological parameters and unknown parameters could be produced with a specified precision by using the regression analysis method. The regression equations also worked for the evaluation of energy potential.
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Covariate Imbalance and Adjustment for Logistic Regression Analysis of Clinical Trial Data
Ciolino, Jody D.; Martin, Reneé H.; Zhao, Wenle; Jauch, Edward C.; Hill, Michael D.; Palesch, Yuko Y.
2014-01-01
In logistic regression analysis for binary clinical trial data, adjusted treatment effect estimates are often not equivalent to unadjusted estimates in the presence of influential covariates. This paper uses simulation to quantify the benefit of covariate adjustment in logistic regression. However, International Conference on Harmonization guidelines suggest that covariate adjustment be pre-specified. Unplanned adjusted analyses should be considered secondary. Results suggest that that if adjustment is not possible or unplanned in a logistic setting, balance in continuous covariates can alleviate some (but never all) of the shortcomings of unadjusted analyses. The case of log binomial regression is also explored. PMID:24138438
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Compulsive Buying: Earlier Illicit Drug Use, Impulse Buying, Depression, and Adult ADHD Symptoms
Brook, Judith S.; Zhang, Chenshu; Brook, David W.; Leukefeld, Carl G.
2015-01-01
This longitudinal study examined the association between psychosocial antecedents, including illicit drug use, and adult compulsive buying (CB) across a 29-year time period from mean age 14 to mean age 43. Participants originally came from a community-based random sample of residents in two upstate New York counties. Multivariate linear regression analysis was used to study the relationship between the participant’s earlier psychosocial antecedents and adult CB in the fifth decade of life. The results of the multivariate linear regression analyses showed that gender (female), earlier adult impulse buying (IB), depressive mood, illicit drug use, and concurrent ADHD symptoms were all significantly associated with adult CB at mean age 43. It is important that clinicians treating CB in adults should consider the role of drug use, symptoms of ADHD, IB, depression, and family factors in CB. PMID:26165963
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Factors affecting stigma toward suicide and depression: A Korean nationwide study.
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.
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Directory of Open Access Journals (Sweden)
Seena Fazel
2008-12-01
Full Text Available BACKGROUND: There are well over a million homeless people in Western Europe and North America, but reliable estimates of the prevalence of major mental disorders among this population are lacking. We undertook a systematic review of surveys of such disorders in homeless people. METHODS AND FINDINGS: We searched for surveys of the prevalence of psychotic illness, major depression, alcohol and drug dependence, and personality disorder that were based on interviews of samples of unselected homeless people. We searched bibliographic indexes, scanned reference lists, and corresponded with authors. We explored potential sources of any observed heterogeneity in the estimates by meta-regression analysis, including geographical region, sample size, and diagnostic method. Twenty-nine eligible surveys provided estimates obtained from 5,684 homeless individuals from seven countries. Substantial heterogeneity was observed in prevalence estimates for mental disorders among the studies (all Cochran's chi(2 significant at p 85%. The most common mental disorders were alcohol dependence, which ranged from 8.1% to 58.5%, and drug dependence, which ranged from 4.5% to 54.2%. For psychotic illness, the prevalence ranged from 2.8% to 42.3%, with similar findings for major depression. The prevalence of alcohol dependence was found to have increased over recent decades. CONCLUSIONS: Homeless people in Western countries are substantially more likely to have alcohol and drug dependence than the age-matched general population in those countries, and the prevalences of psychotic illnesses and personality disorders are higher. Models of psychiatric and social care that can best meet these mental health needs requires further investigation.
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Fazel, Seena; Khosla, Vivek; Doll, Helen; Geddes, John
2008-01-01
Background There are well over a million homeless people in Western Europe and North America, but reliable estimates of the prevalence of major mental disorders among this population are lacking. We undertook a systematic review of surveys of such disorders in homeless people. Methods and Findings We searched for surveys of the prevalence of psychotic illness, major depression, alcohol and drug dependence, and personality disorder that were based on interviews of samples of unselected homeless people. We searched bibliographic indexes, scanned reference lists, and corresponded with authors. We explored potential sources of any observed heterogeneity in the estimates by meta-regression analysis, including geographical region, sample size, and diagnostic method. Twenty-nine eligible surveys provided estimates obtained from 5,684 homeless individuals from seven countries. Substantial heterogeneity was observed in prevalence estimates for mental disorders among the studies (all Cochran's χ2 significant at p 85%). The most common mental disorders were alcohol dependence, which ranged from 8.1% to 58.5%, and drug dependence, which ranged from 4.5% to 54.2%. For psychotic illness, the prevalence ranged from 2.8% to 42.3%, with similar findings for major depression. The prevalence of alcohol dependence was found to have increased over recent decades. Conclusions Homeless people in Western countries are substantially more likely to have alcohol and drug dependence than the age-matched general population in those countries, and the prevalences of psychotic illnesses and personality disorders are higher. Models of psychiatric and social care that can best meet these mental health needs requires further investigation. PMID:19053169
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Yang, Hao-Jan; Wu, Jyun-Yi; Huang, Sheng-Shiung; Lien, Mei-Huei; Lee, Tony Szu-Hsien
2014-10-01
This study examined the moderating effect of family functioning on the relationship between perceived discrimination and depressive symptoms in immigrant women. A total of 239 immigrant women were selected from four administrative regions in Central Taiwan. Questionnaires concerning perceived discrimination, family functioning (including family cohesion and family adaptability), depressive symptoms, and demographic characteristics were completed by either women themselves (N = 120) or their husbands (N = 119). The moderating effect of family functioning on the relationship between perceived discrimination and depression symptoms was analyzed using multiple regression analysis. Findings showed that a higher level of perceived discrimination among immigrant women is associated with more severe depressive symptoms. Family functioning serves as a moderator between the relationship of perceived discrimination and depressive symptoms, but the moderating effect of family adaptability was evident only in data reported by immigrant women. The results indicate that perceived discrimination has negative mental health implications, and also point to the importance of family functioning for depression. Findings suggest that providers should consider addressing immigrant women's mental health needs through declining their psychosocial distress at multiple ecological levels.
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Self-reported Discrimination and Depressive Symptoms Among Older Chinese Adults in Chicago.
Li, Lydia W; Dong, XinQi
2017-07-01
Discrimination is part of life for many Americans, especially ethnic minorities. Focusing on older Chinese Americans, this study examines the association between self-reported discrimination and depressive symptoms and identifies subgroups that are more likely to report experiencing discrimination. We conducted cross-sectional analysis of data collected from adults (age 60+ years) of Chinese origin residing in the Greater Chicago area (N = 3,004). Self-reported discrimination was assessed by the Experiences of Discrimination instrument and was dichotomized (yes vs no). Depressive symptoms were measured by the Patient Health Questionnaire (PHQ-9). Logistic regression of self-reported discrimination and negative binominal regression of depressive symptoms were conducted. About 21.5% of the sample reported having experienced discrimination. The odds of reporting discrimination are higher for those who are younger, have higher education and income, are more acculturated, have been in the United States longer, live outside Chinatown, and have higher levels of neuroticism and conscientiousness. Self-reported discrimination is significantly and positively associated with depressive symptoms, independent of sociodemographic characteristics, migration-related variables, and personality factors. Findings suggest a robust relationship between self-reported discrimination and depressive symptoms in older Chinese Americans. They further suggest that the relatively advantaged groups-younger, higher socioeconomic status, more acculturated, and living outside Chinatown-are more likely to report experiencing discrimination. © The Author 2017. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
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International Nuclear Information System (INIS)
Kamran, F.; Masood, A.
2017-01-01
Objective: To investigate the perceptions of health status and depression among Renal Transplant Recipients (RTRs). Stydy Design: A longitudinal research design was used. Methods: Recipients’ perceived health status (PHS) was measured by a self-developed questionnaire that reflected the symptom severity and frequency of common immunosuppressant side effects. Depression levels were assessed using Beck Depression Inventory B.D.I II) .The sample population comprised of RTRs with a successful and healthy renal transplant recruited from private and government sector renal units in Lahore, Pakistan. Results: Recipients with poorer perceptions of health status tend to be more depressed as indicated by significant negative correlations between PHS and depression. However, further regression analysis found both constructs as significant predictors of each other, raising a question of causal direction. A cross lagged correlation analysis indicated that PHS appears to be a stronger predictor of depression comparatively. Most recipients tend to have positive perceptions of their health status (M = 30.84, S.D = 3.64) with minimum to moderate level of depression (M = 9.50, S.D = 4.00), It is found that a positive perception of health status is associated with lowered depression. Conclusion: Most recipients’ with a healthy kidney transplant tend to report a positive perception of their health status despite adverse medication side effects. However, the perceived health status is significantly associated with consequent feeling of depression. The study confirms the efficacy and positive health outcomes of renal transplantation in Pakistan. (author)
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Declining Bias and Gender Wage Discrimination? A Meta-Regression Analysis
Jarrell, Stephen B.; Stanley, T. D.
2004-01-01
The meta-regression analysis reveals that there is a strong tendency for discrimination estimates to fall and wage discrimination exist against the woman. The biasing effect of researchers' gender of not correcting for selection bias has weakened and changes in labor market have made it less important.
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Directory of Open Access Journals (Sweden)
Ioana A Cristea
Full Text Available The influence of factors related to the background of investigators conducting trials comparing psychotherapy and pharmacotherapy has remained largely unstudied. Specializations emphasizing biological determinants of mental disorders, like psychiatry, might favor pharmacotherapy, while others stressing psychosocial factors, like psychology, could promote psychotherapy. Yet financial conflict of interest (COI could be a confounding factor as authors with a medical specialization might receive more sponsoring from the pharmaceutical industry.We conducted a meta-analysis with subgroup and meta-regression analysis examining whether the specialization and affiliation of trial authors were associated to outcomes in the direct comparison of psychotherapy and pharmacotherapy for the acute treatment of depression. Meta-regression analysis also included trial risk of bias and author conflict of interest in relationship to the pharmaceutical industry.We included 45 trials. In half, the first author was psychologist. The last author was psychiatrist/MD in half of the trials, and a psychologist or statistician/other technical in the rest. Most lead authors had medical affiliations. Subgroup analysis indicated that studies with last authors statisticians favored pharmacotherapy. Univariate analysis showed a negative relationship between the presence of statisticians and outcomes favoring psychotherapy. Multivariate analysis showed that trials including authors with financial COI reported findings more favorable to pharmacotherapy.We report the first detailed overview of the background of authors conducting head to head trials for depression. Trials co-authored by statisticians appear to subtly favor pharmacotherapy. Receiving funding from the industry is more closely related to finding better outcomes for the industry's elective treatment than are factors related to authors' background.For a minority of authors we could not retrieve background information
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Depression and risk of fracture and bone loss: an updated meta-analysis of prospective studies.
Wu, Q; Liu, B; Tonmoy, S
2018-03-12
This meta-analysis pooled results from 23 qualifying individual cohort studies and found that depression was significantly associated with an increased risk of fractures and bone loss. The association between depression and risk of fracture remains controversial. We conducted a comprehensive meta-analysis to examine the effect of depression on the risk of osteoporotic fractures and bone loss. We searched databases and reviewed citations in relevant articles for eligible cohort studies. Two investigators independently conducted study selection, appraisal, and data abstraction through the use of a standardized protocol. Random effect models were used for meta-analysis. Cochrane Q and I 2 statistics were used to assess heterogeneity. Funnel plots and rank correlation tests were used to evaluate publication bias. Twenty-three studies were included for meta-analysis. In studies that reported hazard ratio (HR) as the outcome (nine studies [n = 309,862]), depression was associated with 26% increase in fracture risk (HR = 1.26, 95% CI, 1.10-1.43, p meta-analysis having modified inclusion criteria and in different subgroup analyses as well. Significant heterogeneity was observed in the meta-analysis; however, no significant publication bias was detected. Depression is associated with a significant increased risk in fracture and bone loss. Effective prevention may decrease such risk.
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Statistical methods in regression and calibration analysis of chromosome aberration data
International Nuclear Information System (INIS)
Merkle, W.
1983-01-01
The method of iteratively reweighted least squares for the regression analysis of Poisson distributed chromosome aberration data is reviewed in the context of other fit procedures used in the cytogenetic literature. As an application of the resulting regression curves methods for calculating confidence intervals on dose from aberration yield are described and compared, and, for the linear quadratic model a confidence interval is given. Emphasis is placed on the rational interpretation and the limitations of various methods from a statistical point of view. (orig./MG)
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Treatment outcomes of acute bipolar depressive episode with psychosis.
Caldieraro, Marco Antonio; Dufour, Steven; Sylvia, Louisa G; Gao, Keming; Ketter, Terence A; Bobo, William V; Walsh, Samantha; Janos, Jessica; Tohen, Mauricio; Reilly-Harrington, Noreen A; McElroy, Susan L; Shelton, Richard C; Bowden, Charles L; Deckersbach, Thilo; Nierenberg, Andrew A
2018-05-01
The impact of psychosis on the treatment of bipolar depression is remarkably understudied. The primary aim of this study was to compare treatment outcomes of bipolar depressed individuals with and without psychosis. The secondary aim was to compare the effect of lithium and quetiapine, each with adjunctive personalized treatments (APTs), in the psychotic subgroup. We assessed participants with DSM-IV bipolar depression included in a comparative effectiveness study of lithium and quetiapine with APTs (the Bipolar CHOICE study). Severity was assessed by the Bipolar Inventory of Symptoms Scale (BISS) and by the Clinical Global Impression Scale-Severity-Bipolar Version (CGI-S-BP). Mixed models were used to assess the course of symptom change, and Cox regression survival analysis was used to assess the time to remission. Psychotic features were present in 10.6% (n = 32) of the depressed participants (n = 303). Those with psychotic features had higher scores on the BISS before (75.2 ± 17.6 vs. 54.9 ± 16.3; P Bipolar depressive episodes with psychotic features are more severe, and compared to nonpsychotic depressions, present a similar course of improvement. Given the small number of participants presenting psychosis, the lack of statistically significant difference between lithium- and quetiapine-based treatment of psychotic bipolar depressive episodes needs replication in a larger sample. © 2018 Wiley Periodicals, Inc.
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Directory of Open Access Journals (Sweden)
Ida E. H. Madsen
2014-02-01
Full Text Available Background: Previous studies have shown that gainfully employed individuals with high work demands and low control at work (denoted “job strain” are at increased risk of common mental disorders, including depression. Most existing studies have, however, measured depression using self-rated symptom scales that do not necessarily correspond to clinically diagnosed depression. In addition, a meta-analysis from 2008 indicated publication bias in the field. Methods: This study protocol describes the planned design and analyses of an individual participant data meta-analysis, to examine whether job strain is associated with an increased risk of clinically diagnosed unipolar depression based on hospital treatment registers. The study will be based on data from approximately 120,000 individuals who participated in 14 studies on work environment and health in 4 European countries. The self-reported working conditions data will be merged with national registers on psychiatric hospital treatment, primarily hospital admissions. Study-specific risk estimates for the association between job strain and depression will be calculated using Cox regressions. The study-specific risk estimates will be pooled using random effects meta-analysis. Discussion: The planned analyses will help clarify whether job strain is associated with an increased risk of clinically diagnosed unipolar depression. As the analysis is based on pre-planned study protocols and an individual participant data meta-analysis, the pooled risk estimates will not be influenced by selective reporting and publication bias. However, the results of the planned study may only pertain to severe cases of unipolar depression, because of the outcome measure applied.
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Directory of Open Access Journals (Sweden)
IPD-Work Consortium
2013-11-01
Full Text Available Background: Previous studies have shown that gainfully employed individuals with high work demands and low control at work (denoted “job strain” are at increased risk of common mental disorders, including depression. Most existing studies have, however, measured depression using self-rated symptom scales that do not necessarily correspond to clinically diagnosed depression. In addition, a meta-analysis from 2008 indicated publication bias in the field. Methods: This study protocol describes the planned design and analyses of an individual participant data meta-analysis, to examine whether job strain is associated with an increased risk of clinically diagnosed unipolar depression based on hospital treatment registers. The study will be based on data from approximately 120,000 individuals who participated in 14 studies on work environment and health in 4 European countries. The self-reported working conditions data will be merged with national registers on psychiatric hospital treatment, primarily hospital admissions. Study-specific risk estimates for the association between job strain and depression will be calculated using Cox regressions. The study-specific risk estimates will be pooled using random effects meta-analysis. Discussion: The planned analyses will help clarify whether job strain is associated with an increased risk of clinically diagnosed unipolar depression. As the analysis is based on pre-planned study protocols and an individual participant data meta-analysis, the pooled risk estimates will not be influenced by selective reporting and publication bias. However, the results of the planned study may only pertain to severe cases of unipolar depression, because of the outcome measure applied.
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Length bias correction in gene ontology enrichment analysis using logistic regression.
Mi, Gu; Di, Yanming; Emerson, Sarah; Cumbie, Jason S; Chang, Jeff H
2012-01-01
When assessing differential gene expression from RNA sequencing data, commonly used statistical tests tend to have greater power to detect differential expression of genes encoding longer transcripts. This phenomenon, called "length bias", will influence subsequent analyses such as Gene Ontology enrichment analysis. In the presence of length bias, Gene Ontology categories that include longer genes are more likely to be identified as enriched. These categories, however, are not necessarily biologically more relevant. We show that one can effectively adjust for length bias in Gene Ontology analysis by including transcript length as a covariate in a logistic regression model. The logistic regression model makes the statistical issue underlying length bias more transparent: transcript length becomes a confounding factor when it correlates with both the Gene Ontology membership and the significance of the differential expression test. The inclusion of the transcript length as a covariate allows one to investigate the direct correlation between the Gene Ontology membership and the significance of testing differential expression, conditional on the transcript length. We present both real and simulated data examples to show that the logistic regression approach is simple, effective, and flexible.
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Directory of Open Access Journals (Sweden)
Adriana Giavoni
2008-05-01
Full Text Available O objetivo deste estudo foi desenvolver e validar a Escala de Depressão para Idosos (EDI. Foi elaborado um modelo teórico explicativo da depressão, composto por três categorias: cognitiva, afetiva e somático-motora. Os itens elaborados foram submetidos à análise semântica e de juizes. O instrumento piloto foi aplicado a 340 sujeitos, sendo 88% do sexo feminino, com ensino fundamental completo (67,9% e idade média de 63,74 (DP = 6,87 anos. A amostra respondeu também ao Inventário de Depressão de Beck (BDI. Para a validação da escala, foram realizadas análises fatoriais e análise da consistência interna dos itens (alfa de Cronbach. Regressões múltiplas avaliaram o poder de predição dos fatores da EDI sobre o escore final do BDI. A validação da escala demonstrou que a EDI é composta por dois fatores: cognitivo-afetivo e somático-motor, que explicam 53% do BDI (validade convergente. Pode-se afirmar, portanto, que a EDI é formada por fatores que avaliam diferentes aspectos do constructo depressão (validade fatorial, os quais apresentam índices de consistência interna dentro dos padrões psicométricos.The objective of this study was to develop and validate the Depression Scale for the Elderly. An explanatory theoretical model was developed for depression, consisting of three categories: cognitive, affective, and somato-motor. The items elaborated thusly were submitted to semantic analysis and judges. The pilot instrument was applied to 340 subjects, 88% of whom were females, mostly with complete primary education (67.9%, and a mean age of 63.74 (SD = 6.87 years. The sample also responded to the Beck Depression Index (BDI. Validation of the scale was based on factor analyses (Principal Axis Factoring and analysis of the items' internal consistency (Cronbach's alpha. Multiple regressions evaluated the predictive power of the factors in the depression scale for the elderly on the final BDI score. Scale validation
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DEFF Research Database (Denmark)
Hapunda, Given; Abubakar, Amina; Pouwer, Frans
2017-01-01
and adult patients. Regression analysis indicated that there was no association between total diabetes self-care and the depression total score. However, depression was associated with poor glucose testing and not eating meals on time by patients with diabetes. CONCLUSION: Some variance on poor self......-care was explained by demographic characteristics, specifically age, body mass index, and to some extent, socioeconomic status. Recognition and successful treatment of depression in patients with diabetes might help to optimize self-care behaviors, especially glucose testing and eating meals on time. However...
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Werner-Seidler, Aliza; Perry, Yael; Calear, Alison L; Newby, Jill M; Christensen, Helen
2017-02-01
Depression and anxiety often emerge for the first time during youth. The school environment provides an ideal context to deliver prevention programs, with potential to offset the trajectory towards disorder. The aim of this review was to provide a comprehensive evaluation of randomised-controlled trials of psychological programs, designed to prevent depression and/or anxiety in children and adolescents delivered in school settings. Medline, PsycINFO and the Cochrane Library were systematically searched for articles published until February 2015. Eighty-one unique studies comprising 31,794 school students met inclusion criteria. Small effect sizes for both depression (g=0.23) and anxiety (g=0.20) prevention programs immediately post-intervention were detected. Small effects were evident after 12-month follow-up for both depression (g=0.11) and anxiety (g=0.13). Overall, the quality of the included studies was poor, and heterogeneity was moderate. Subgroup analyses suggested that universal depression prevention programs had smaller effect sizes at post-test relative to targeted programs. For anxiety, effect sizes were comparable for universal and targeted programs. There was some evidence that externally-delivered interventions were superior to those delivered by school staff for depression, but not anxiety. Meta-regression confirmed that targeted programs predicted larger effect sizes for the prevention of depression. These results suggest that the refinement of school-based prevention programs have the potential to reduce mental health burden and advance public health outcomes. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.
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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.
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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.
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Analysis of designed experiments by stabilised PLS Regression and jack-knifing
DEFF Research Database (Denmark)
Martens, Harald; Høy, M.; Westad, F.
2001-01-01
Pragmatical, visually oriented methods for assessing and optimising bi-linear regression models are described, and applied to PLS Regression (PLSR) analysis of multi-response data from controlled experiments. The paper outlines some ways to stabilise the PLSR method to extend its range...... the reliability of the linear and bi-linear model parameter estimates. The paper illustrates how the obtained PLSR "significance" probabilities are similar to those from conventional factorial ANOVA, but the PLSR is shown to give important additional overview plots of the main relevant structures in the multi....... An Introduction, Wiley, Chichester, UK, 2001]....
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Kanmogne, Georgette D; Qiu, Fang; Ntone, Félicien E; Fonsah, Julius Y; Njamnshi, Dora M; Kuate, Callixte T; Doh, Roland F; Kengne, Anne M; Tagny, Claude T; Nchindap, Emilienne; Kenmogne, Léopoldine; Mbanya, Dora; Cherner, Mariana; Heaton, Robert K; Njamnshi, Alfred K
2017-01-01
Depression is a leading cause of HIV/AIDS disease burden; it worsens health outcomes and quality of life. Addressing this problem requires accurate quantification of the extra burden of depression to HIV/AIDS in a given population, and knowledge of the baseline depression prevalence in the general population. There has been no previous study of depression in the general Cameroonian population. The current study attempts to address that important need. We used the Beck Depression Inventory-II to assess the prevalence and severity of depressive symptoms in 270 HIV-infected and seronegative Cameroonians. Univariate analyses showed a trend toward higher depressive symptoms among cases, compared to controls (p = 0.055), and among older subjects (>40 years), compared to younger subjects (≤40 years) (p = 0.059). Analysis of depression severity showed that 33.73% of cases had moderate-to-severe depressive symptoms, compared to 19.8% of controls (pHIV status, CD4 levels, viral loads, ART, or opportunistic infections on the risk of depressive symptoms. Both univariate and multivariable regression analyses showed significantly higher risk of depressive symptoms among females compared to males; this was significant for both female controls and female cases. Female cases had significantly higher CD4 cell counts and lower viral loads, compared to males. Both univariate and multivariable regression analyses showed that lower education (≤10 years) was associated with increased risk of depressive symptoms. This study shows a high prevalence of depressive symptoms among seronegative controls and HIV-infected Cameroonians. Integrating care for mental disorders such as depression into primary health care and existing HIV/AIDS treatment programs in Cameroon may improve the wellbeing of the general population and could lower the HIV/AIDS burden.
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Developmental trajectories of irritability and bidirectional associations with maternal depression.
Wiggins, Jillian Lee; Mitchell, Colter; Stringaris, Argyris; Leibenluft, Ellen
2014-11-01
Irritability is a dimensional trait in typical development and a common presenting symptom in many psychiatric disorders, including depression. However, little is known about the developmental trajectory of irritability or how child irritability interacts with maternal depression. The present study identifies classes of irritability trajectories from toddlerhood to middle childhood; characterizes maternal depression and other family, social environment, and child variables within each irritability trajectory class; and, as a more exploratory analysis, examines bidirectional associations between maternal depression and child irritability. A total of 4,898 families from the Fragile Families and Child Wellbeing Study reported on irritability symptoms at ages 3, 5, and 9 years, assessed with items from the Child Behavior Checklist. Parental major depressive episode was assessed using the Composite International Diagnostic Interview-Short Form at child ages 1, 3, 5, and 9 years. A latent class growth analysis identified 5 irritability classes: low decreasing; moderate decreasing; high steady; initially very high, then decreasing; and high increasing. Children with more severe irritability trajectories are more likely to have mothers with recurrent depression, and, with the exception of the most severe (high increasing irritability) class, were more likely to have mothers who were exposed to violence. Moreover, paternal depression and alcohol abuse, as well as maternal drug and alcohol abuse, were also risk factors for membership in the more severe irritability classes. A latent auto-regressive cross-lag model showed that child irritability at ages 3 and 5 years is associated with increased mother depression at ages 5 and 9, respectively. Conversely, mother depression at child ages 1 and 3 years is associated with increased child irritability at 3 and 5. Irritability development across toddlerhood and middle childhood has 5 main trajectory types, which differ on maternal
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Min, Jung-Ah; Lee, Chang-Uk; Chae, Jeong-Ho
2015-01-01
Few studies have investigated the role of protective factors for suicidal ideation, which include resilience and social support among psychiatric patients with depression and/or anxiety disorders who are at increased risk of suicide. Demographic data, history of childhood maltreatment, and levels of depression, anxiety, problematic alcohol use, resilience, perceived social support, and current suicidal ideation were collected from a total of 436 patients diagnosed with depression and/or anxiety disorders. Hierarchical multiple logistic regression analyses were used to identify the independent and interaction effects of potentially influencing factors. Moderate-severe suicidal ideation was reported in 24.5% of our sample. After controlling for relevant covariates, history of emotional neglect and sexual abuse, low resilience, and high depression and anxiety symptoms were sequentially included in the model. In the final model, high depression (adjusted odds ratio (OR)=9.33, confidence interval (CI) 3.99-21.77) and anxiety (adjusted OR=2.62, CI=1.24-5.53) were independently associated with moderate-severe suicidal ideation among risk factors whereas resilience was not. In the multiple logistic regression model that examined interaction effects between risk and protective factors, the interactions between resilience and depression (psuicide ideation among those with higher levels of depression or anxiety symptoms. Our results indicate that resilience potentially moderates the risk of depression and anxiety symptoms on suicidal ideation in patients with depression and/or anxiety disorders. Assessment of resilience and intervention focused on resilience enhancement is suggested for suicide prevention. Copyright © 2014 Elsevier Inc. All rights reserved.
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A content analysis of depression-related Tweets.
Cavazos-Rehg, Patricia A; Krauss, Melissa J; Sowles, Shaina; Connolly, Sarah; Rosas, Carlos; Bharadwaj, Meghana; Bierut, Laura J
2016-01-01
This study examines depression-related chatter on Twitter to glean insight into social networking about mental health. We assessed themes of a random sample (n=2,000) of depression-related tweets (sent 4-11 to 5-4-14). Tweets were coded for expression of DSM-5 symptoms for Major Depressive Disorder (MDD). Supportive or helpful tweets about depression was the most common theme (n=787, 40%), closely followed by disclosing feelings of depression (n=625; 32%). Two-thirds of tweets revealed one or more symptoms for the diagnosis of MDD and/or communicated thoughts or ideas that were consistent with struggles with depression after accounting for tweets that mentioned depression trivially. Health professionals can use our findings to tailor and target prevention and awareness messages to those Twitter users in need.
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Ozmen, Dilek; Ozmen, Erol; Ergin, Dilek; Cetinkaya, Aynur Cakmakci; Sen, Nesrin; Dundar, Pinar Erbay; Taskin, E Oryal
2007-05-16
The purpose of this study was to determine the prevalence of overweight and obesity and to examine the effects of actual weight status, perceived weight status and body satisfaction on self-esteem and depression in a high school population in Turkey. A cross-sectional survey of 2101 tenth-grade Turkish adolescents aged 15-18 was conducted. Body mass index (BMI) was calculated using weight and height measures. The overweight and obesity were based on the age- and gender-specific BMI cut-off points of the International Obesity Task Force values. Self-esteem was measured using the Rosenberg Self-Esteem Scale, and depression was measured using Children's Depression Inventory. Logistic regression analysis was used to examine relationships among the variables. Based on BMI cut-off points, 9.0% of the students were overweight and 1.1% were obese. Logistic regression analysis indicated that (1) being male and being from a higher socio-economical level were important in the prediction of overweight based on BMI; (2) being female and being from a higher socio-economical level were important in the prediction of perceived overweight; (3) being female was important in the prediction of body dissatisfaction; (4) body dissatisfaction was related to low self-esteem and depression, perceived overweight was related only to low self-esteem but actual overweight was not related to low self-esteem and depression in adolescents. The results of this study suggest that school-based adolescents in urban Turkey have a lower risk of overweight and obesity than adolescents in developed countries. The findings of this study suggest that psychological well-being of adolescents is more related to body satisfaction than actual and perceived weight status is.
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Replica analysis of overfitting in regression models for time-to-event data
Coolen, A. C. C.; Barrett, J. E.; Paga, P.; Perez-Vicente, C. J.
2017-09-01
Overfitting, which happens when the number of parameters in a model is too large compared to the number of data points available for determining these parameters, is a serious and growing problem in survival analysis. While modern medicine presents us with data of unprecedented dimensionality, these data cannot yet be used effectively for clinical outcome prediction. Standard error measures in maximum likelihood regression, such as p-values and z-scores, are blind to overfitting, and even for Cox’s proportional hazards model (the main tool of medical statisticians), one finds in literature only rules of thumb on the number of samples required to avoid overfitting. In this paper we present a mathematical theory of overfitting in regression models for time-to-event data, which aims to increase our quantitative understanding of the problem and provide practical tools with which to correct regression outcomes for the impact of overfitting. It is based on the replica method, a statistical mechanical technique for the analysis of heterogeneous many-variable systems that has been used successfully for several decades in physics, biology, and computer science, but not yet in medical statistics. We develop the theory initially for arbitrary regression models for time-to-event data, and verify its predictions in detail for the popular Cox model.
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Xu, Tao; Zhu, Guangjin; Han, Shaomei
2017-01-01
Objectives The number of depression symptoms can be considered as count data in order to get complete and accurate analyses findings in studies of depression. This study aims to compare the goodness of fit of four count outcomes models by a large survey sample to identify the optimum model for a risk factor study of the number of depression symptoms. Methods 15 820 subjects, aged 10 to 80 years old, who were not suffering from serious chronic diseases and had not run a high fever in the past ...
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Suzuki, Taku; Iwamoto, Takuji; Shizu, Kanae; Suzuki, Katsuji; Yamada, Harumoto; Sato, Kazuki
2017-05-01
This retrospective study was designed to investigate prognostic factors for postoperative outcomes for cubital tunnel syndrome (CubTS) using multiple logistic regression analysis with a large number of patients. Eighty-three patients with CubTS who underwent surgeries were enrolled. The following potential prognostic factors for disease severity were selected according to previous reports: sex, age, type of surgery, disease duration, body mass index, cervical lesion, presence of diabetes mellitus, Workers' Compensation status, preoperative severity, and preoperative electrodiagnostic testing. Postoperative severity of disease was assessed 2 years after surgery by Messina's criteria which is an outcome measure specifically for CubTS. Bivariate analysis was performed to select candidate prognostic factors for multiple linear regression analyses. Multiple logistic regression analysis was conducted to identify the association between postoperative severity and selected prognostic factors. Both bivariate and multiple linear regression analysis revealed only preoperative severity as an independent risk factor for poor prognosis, while other factors did not show any significant association. Although conflicting results exist regarding prognosis of CubTS, this study supports evidence from previous studies and concludes early surgical intervention portends the most favorable prognosis. Copyright © 2017 The Japanese Orthopaedic Association. Published by Elsevier B.V. All rights reserved.
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Elsamadicy, Aladine A; Adogwa, Owoicho; Lydon, Emily; Sergesketter, Amanda; Kaakati, Rayan; Mehta, Ankit I; Vasquez, Raul A; Cheng, Joseph; Bagley, Carlos A; Karikari, Isaac O
2017-08-01
OBJECTIVE Depression is the most prevalent affective disorder in the US, and patients with spinal deformity are at increased risk. Postoperative delirium has been associated with inferior surgical outcomes, including morbidity and mortality. The relationship between depression and postoperative delirium in patients undergoing spine surgery is relatively unknown. The aim of this study was to determine if depression is an independent risk factor for the development of postoperative delirium in patients undergoing decompression and fusion for deformity. METHODS The medical records of 923 adult patients (age ≥ 18 years) undergoing elective spine surgery at a single major academic institution from 2005 through 2015 were reviewed. Of these patients, 255 (27.6%) patients had been diagnosed with depression by a board-certified psychiatrist and constituted the Depression group; the remaining 668 patients constituted the No-Depression group. Patient demographics, comorbidities, and intra- and postoperative complication rates were collected for each patient and compared between groups. The primary outcome investigated in this study was rate of postoperative delirium, according to DSM-V criteria, during initial hospital stay after surgery. The association between depression and postoperative delirium rate was assessed via multivariate logistic regression analysis. RESULTS Patient demographics and comorbidities other than depression were similar in the 2 groups. In the Depression group, 85.1% of the patients were taking an antidepressant prior to surgery. There were no significant between-group differences in intraoperative variables and rates of complications other than delirium. Postoperative complication rates were also similar between the cohorts, including rates of urinary tract infection, fever, deep and superficial surgical site infection, pulmonary embolism, deep vein thrombosis, urinary retention, and proportion of patients transferred to the intensive care unit. In
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Light therapy for non-seasonal depression: systematic review and meta-analysis.
Perera, Stefan; Eisen, Rebecca; Bhatt, Meha; Bhatnagar, Neera; de Souza, Russell; Thabane, Lehana; Samaan, Zainab
2016-03-01
Light therapy is a known treatment for patients with seasonal affective disorder. However, the efficacy of light therapy in treating patients with non-seasonal depression remains inconclusive. To provide the current state of evidence for efficacy of light therapy in non-seasonal depressive disorders. Systematic review of randomised controlled trials (RCTs) was conducted by searching MEDLINE, EMBASE, PsycINFO, CINAHL, and CENTRAL from their inception to September 2015. Study selection, data abstraction and risk of bias assessment were independently conducted in duplicate. Meta-analyses were performed to provide a summary statistic for the included RCTs. The reporting of this systematic review follows the PRISMA guidelines. A meta-analysis including 881 participants from 20 RCTs demonstrated a beneficial effect of light therapy in non-seasonal depression (standardised mean difference in depression score -0.41 (95% CI -0.64 to -0.18)). This estimate was associated with significant heterogeneity ( I 2 =60%, P =0.0003) that was not sufficiently explained by subgroup analyses. There was also high risk of bias in the included trials limiting the study interpretation. The overall quality of evidence is poor due to high risk of bias and inconsistency. However, considering that light therapy has minimal side-effects and our meta-analysis demonstrated that a significant proportion of patients achieved a clinically significant response, light therapy may be effective for patients with non-seasonal depression and can be a helpful additional therapeutic intervention for depression. None. © The Royal College of Psychiatrists 2016. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) licence.
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Cognitive Vulnerabilities and Depression in Young Adults: An ROC Curves Analysis.
Balsamo, Michela; Imperatori, Claudio; Sergi, Maria Rita; Belvederi Murri, Martino; Continisio, Massimo; Tamburello, Antonino; Innamorati, Marco; Saggino, Aristide
2013-01-01
Objectives and Methods. The aim of the present study was to evaluate, by means of receiver operating characteristic (ROC) curves, whether cognitive vulnerabilities (CV), as measured by three well-known instruments (the Beck Hopelessness Scale, BHS; the Life Orientation Test-Revised, LOT-R; and the Attitudes Toward Self-Revised, ATS-R), independently discriminate between subjects with different severities of depression. Participants were 467 young adults (336 females and 131 males), recruited from the general population. The subjects were also administered the Beck Depression Inventory-II (BDI-II). Results. Four first-order (BHS Optimism/Low Standard; BHS Pessimism; Generalized Self-Criticism; and LOT Optimism) and two higher-order factors (Pessimism/Negative Attitudes Toward Self, Optimism) were extracted using Principal Axis Factoring analysis. Although all first-order and second-order factors were able to discriminate individuals with different depression severities, the Pessimism factor had the best performance in discriminating individuals with moderate to severe depression from those with lower depression severity. Conclusion. In the screening of young adults at risk of depression, clinicians have to pay particular attention to the expression of pessimism about the future.
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Stigma in Ethiopia: association with depressive symptoms in people with HIV.
Endeshaw, Meheret; Walson, Judd; Rawlins, Sarah; Dessie, Abere; Alemu, Shitaye; Andrews, Nancy; Rao, Deepa
2014-01-01
Rates of depression among people living with HIV can be as high as 50%. In many settings, HIV-related stigma has been associated with depressive symptoms which may lead to poor engagement in care and ultimately, poorer health outcomes. Stigma is a major issue in Ethiopia but data examining the relationship between stigma and depression in Ethiopia are lacking. We performed a mixed-methods cross-sectional study to examine the relationship between stigma of HIV/AIDS and depressive symptoms in Gondar, Ethiopia. We interviewed patients who presented for routine HIV care at Gondar University Hospital during the study period, examining depressive symptoms and HIV/AIDS-related stigma using standardized measures. Multiple-regression was used to assess the relationship between depressive symptoms, stigma, and gender. Of 55 patients included in this analysis, 63.6% were female and most participants had limited formal education (69%, less than 12th grade education). The majority reported experiencing both stigma (78%) and depressive symptoms (60%) ranging in severity from mild to moderately severe. Higher levels of HIV-related stigma were significantly associated with higher levels of depressive symptoms (β = 0.464, p ≤ 0.001). Although gender was associated with stigma, it was not associated with depressive symptoms (β = -0.027, p > 0.05). Results suggest the importance of psychosocial issues in the lives of people with HIV in Ethiopia.
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Physiologic and laboratory correlates of depression, anxiety, and poor sleep in liver cirrhosis
Directory of Open Access Journals (Sweden)
Ko Fang-Yuan
2013-01-01
Full Text Available Abstract Background Studies have shown psychological distress in patients with cirrhosis, yet no studies have evaluated the laboratory and physiologic correlates of psychological symptoms in cirrhosis. This study therefore measured both biochemistry data and heart rate variability (HRV analyses, and aimed to identify the physiologic correlates of depression, anxiety, and poor sleep in cirrhosis. Methods A total of 125 patients with cirrhosis and 55 healthy subjects were recruited. Each subject was assessed through routine biochemistry, 5-minutes ECG monitoring, and psychological ratings of depression, anxiety, and sleep. HRV analysis were used to evaluate autonomic functions. The relationship between depression, sleep, and physiologic correlates was assessed using a multiple regression analysis and stepwise method, controlling for age, duration of illness, and severity of cirrhosis. Results Reduced vagal-related HRV was found in patients with severe liver cirrhosis. Severity of cirrhosis measured by the Child-Pugh score was not correlated with depression or anxiety, and only had a weak correlation with poor sleep. The psychological distress in cirrhosis such as depression, anxiety, and insomnia were correlated specifically to increased levels of aspartate aminotransferase (AST, increased ratios of low frequency to high frequency power, or reduced nonlinear properties of HRV (α1 exponent of detrended fluctuation analysis. Conclusions Increased serum AST and abnormal autonomic nervous activities by HRV analysis were associated with psychological distress in cirrhosis. Because AST is an important mediator of inflammatory process, further research is needed to delineate the role of inflammation in the cirrhosis comorbid with depression.
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Fish consumption and depressive symptoms in undergraduate students: A cross-sectional analysis.
Hamazaki, K; Natori, T; Kurihara, S; Murata, N; Cui, Z-G; Kigawa, M; Morozumi, R; Inadera, H
2015-11-01
Emerging evidence suggests that fish consumption may have beneficial effects on mood disorders. However, no study has been reported on this issue in young adults to date. The aim of this study was to investigate the relationship between fish consumption and depressive symptoms in Japanese undergraduate students. The 20-item Center for Epidemiologic Studies Depression Scale was used to measure depressive symptoms with a cut-off score of 16. A total of 4190 completed questionnaires (from 2124 men and 2066 women) were received for analysis. Multivariate logistic analysis showed that fish intake was inversely associated with risk of depressive symptoms in undergraduate students. After adjustment for possible confounders, the odds-ratios (95% confidence intervals) for fish intake 1-2 times/month, 1-2 times/week, 3-4 times/week, and almost every day (compared with "almost never") were 0.78 (0.62-0.99), 0.70 (0.56-0.87), 0.67 (0.53-0.85) and 0.65 (0.46-0.92), respectively. This association tended to be stronger in women than in men. Frequent fish consumption in undergraduate students seems to moderate depressive symptoms. Further research is warranted to clarify the causality. Copyright © 2015 Elsevier Masson SAS. All rights reserved.
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Adopting New Identities When a Partner has Depression: An Interpretative Phenomenological Analysis
Directory of Open Access Journals (Sweden)
Fiona E. Glenn
2013-12-01
Full Text Available In Western cultures, the mental distress of a partner has been associated with significant impacts for the individual, with feelings of stress and burnout associated with the caregiving role (e.g. Stjernswärd & Östman, 2008. Research has begun to explore the lived experience of being in a couple relationship with an individual experiencing depression, however further research is needed, particularly with regard to the roles and identities they adopt in response to the depression. Five adults participated in the research; all were in heterosexual relationships with a partner who had experienced depression during the course of their relationship. Participants were recruited through support services and from general community settings. Interviews were conducted using a semi-structured interview format, with the use of an interview schedule. Analysis was conducted using Interpretive Phenomenological Analysis (Smith, Flowers, & Larkin, 2009 to identify the meaning made from this experience. Three superordinate themes emerged from the data, conceptualizing depression, re-evaluating the relationship, and negotiating new identities. This research demonstrated the importance of support for those in a relationship with someone experiencing depression, particularly in the complex task of negotiating changing roles and in moderating the emotional impact upon themselves. There is a need for greater awareness of the impact of these experiences on their partners.
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Multiple linear regression analysis
Edwards, T. R.
1980-01-01
Program rapidly selects best-suited set of coefficients. User supplies only vectors of independent and dependent data and specifies confidence level required. Program uses stepwise statistical procedure for relating minimal set of variables to set of observations; final regression contains only most statistically significant coefficients. Program is written in FORTRAN IV for batch execution and has been implemented on NOVA 1200.
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Correlates of postpartum depression in first time mothers without previous psychiatric contact.
Sylvén, S M; Thomopoulos, T P; Kollia, N; Jonsson, M; Skalkidou, A
2017-02-01
Postpartum depression (PPD) is a common disorder after childbirth. The strongest known predictors are a history of depression and/or a history of PPD. However, for a significant proportion of women, PPD constitutes their first depressive episode. This study aimed to gain further insight into the risk factors for PPD in first time mothers without previous psychiatric contact. Women delivering in Uppsala University Hospital, Sweden, from May 2006 to June 2007, were asked to participate and filled out questionnaires five days and six weeks postpartum, containing inter alia the Edinburgh Postnatal Depression Scale (EPDS). Univariate logistic regression models, as well as a path analysis, were performed to unveil the complex interplay between the study variables. Of the 653 participating primiparas, 10.3% and 6.4% reported depressive symptoms (EPDS≥12 points) five days and six weeks postpartum, respectively. In the path analysis, a positive association between anxiety proneness and depressive symptoms at five days and six weeks postpartum was identified. For depressive symptoms six weeks after delivery, additional risk factors were detected, namely depressive symptoms five days postpartum and subjective experience of problems with the baby. Caesarean section and assisted vaginal delivery were associated with fewer depressive symptoms at 6 six weeks postpartum. Identification of anxiety proneness, delivery mode and problems with the baby as risk factors for self-reported depressive symptoms postpartum in this group of primiparas can be important in helping health care professionals identify women at increased risk of affective disorders in the perinatal period, and provide a base for early intervention. Copyright © 2016 Elsevier Masson SAS. All rights reserved.
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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.
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Chronic diseases, lack of medications, and depression among Syrian refugees in Jordan, 2013-2014.
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.
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Feldens, Carlos Alberto; Kramer, Paulo Floriani; Ferreira, Simone Helena; Spiguel, Mônica Hermann; Marquezan, Marcela
2010-04-01
This cross-sectional study aimed to investigate the factors associated with dental trauma in preschool children using Poisson regression analysis with robust variance. The study population comprised 888 children aged 3- to 5-year-old attending public nurseries in Canoas, southern Brazil. Questionnaires assessing information related to the independent variables (age, gender, race, mother's educational level and family income) were completed by the parents. Clinical examinations were carried out by five trained examiners in order to assess traumatic dental injuries (TDI) according to Andreasen's classification. One of the five examiners was calibrated to assess orthodontic characteristics (open bite and overjet). Multivariable Poisson regression analysis with robust variance was used to determine the factors associated with dental trauma as well as the strengths of association. Traditional logistic regression was also performed in order to compare the estimates obtained by both methods of statistical analysis. 36.4% (323/888) of the children suffered dental trauma and there was no difference in prevalence rates from 3 to 5 years of age. Poisson regression analysis showed that the probability of the outcome was almost 30% higher for children whose mothers had more than 8 years of education (Prevalence Ratio = 1.28; 95% CI = 1.03-1.60) and 63% higher for children with an overjet greater than 2 mm (Prevalence Ratio = 1.63; 95% CI = 1.31-2.03). Odds ratios clearly overestimated the size of the effect when compared with prevalence ratios. These findings indicate the need for preventive orientation regarding TDI, in order to educate parents and caregivers about supervising infants, particularly those with increased overjet and whose mothers have a higher level of education. Poisson regression with robust variance represents a better alternative than logistic regression to estimate the risk of dental trauma in preschool children.
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Mood food: chocolate and depressive symptoms in a cross-sectional analysis.
Rose, Natalie; Koperski, Sabrina; Golomb, Beatrice A
2010-04-26
Much lore but few studies describe a relation of chocolate to mood. We examined the cross-sectional relationship of chocolate consumption with depressed mood in adult men and women. A sample of 1018 adults (694 men and 324 women) from San Diego, California, without diabetes or known coronary artery disease was studied in a cross-sectional analysis. The 931 subjects who were not using antidepressant medications and provided chocolate consumption information were the focus of the analysis. Mood was assessed using the Center for Epidemiologic Studies Depression Scale (CES-D). Cut points signaling a positive depression screen result (CES-D score, >or=16) and probable major depression (CES-D score, >or=22) were used. Chocolate servings per week were provided by 1009 subjects. Chocolate consumption frequency and rate data from the Fred Hutchinson Food Frequency Questionnaire were also available for 839 subjects. Chocolate consumption was compared for those with lower vs higher CES-D scores. In addition, a test of trend was performed. Those screening positive for possible depression (CES-D score >or=16) had higher chocolate consumption (8.4 servings per month) than those not screening positive (5.4 servings per month) (P = .004); those with still higher CES-D scores (>or=22) had still higher chocolate consumption (11.8 servings per month) (P value for trend, chocolate consumption. Whether there is a causal connection, and if so in which direction, is a matter for future prospective study.
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Maternal depressive symptoms and early childhood cognitive development: a meta-analysis.
Liu, Y; Kaaya, S; Chai, J; McCoy, D C; Surkan, P J; Black, M M; Sutter-Dallay, A-L; Verdoux, H; Smith-Fawzi, M C
2017-03-01
Previous findings have been mixed regarding the relationship between maternal depressive symptoms and child cognitive development. The objective of this study was to systematically review relevant literature and to perform a meta-analysis. Three electronic databases (PubMed, EMBASE, PsycINFO) were searched. Initial screening was conducted independently by two reviewers. Studies selected for detailed review were read in full and included based on a set of criteria. Data from selected studies were abstracted onto a standardized form. Meta-analysis using the inverse variance approach and random-effects models was conducted. The univariate analysis of 14 studies revealed that maternal depressive symptoms are related to lower cognitive scores among children aged ⩽56 months (Cohen's d = -0.25, 95% CI -0.39 to -0.12). The synthesis of studies controlling for confounding variables showed that the mean cognitive score for children 6-8 weeks post-partum whose mothers had high depressive symptoms during the first few weeks postpartum was approximately 4.2 units lower on the Mental Developmental Index (MDI) of the Bayley Scales of Infant and Toddler Development (BSID) compared with children with non-symptomatic mothers (B̂ = -4.17, 95% CI -8.01 to -0.32). The results indicated that maternal depressive symptoms are related to lower cognitive scores in early infancy, after adjusting for confounding factors. An integrated approach for supporting child cognitive development may include program efforts that promote maternal mental health in addition to family economic wellbeing, responsive caregiving, and child nutrition.
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Recurrence in Major Depression: A Conceptual Analysis
Monroe, Scott M.; Harkness, Kate L.
2011-01-01
Theory and research on major depression have increasingly assumed a recurrent and chronic disease model. Yet not all people who become depressed suffer recurrences, suggesting that depression is also an acute, time-limited condition. However, few if any risk indicators are available to forecast which of the initially depressed will or will not…
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Directory of Open Access Journals (Sweden)
Vernooij-Dassen Myrra JFJ
2011-05-01
Full Text Available Abstract Background The aim of this study is evaluating the (cost- effectiveness of a multidisciplinary, evidence based care program to improve the management of depression in nursing home residents of somatic and dementia special care units. The care program is an evidence based standardization of the management of depression, including standardized use of measurement instruments and diagnostical methods, and protocolized psychosocial, psychological and pharmacological treatment. Methods/Design In a 19-month longitudinal controlled study using a stepped wedge design, 14 somatic and 14 dementia special care units will implement the care program. All residents who give informed consent on the participating units will be included. Primary outcomes are the frequency of depression on the units and quality of life of residents on the units. The effect of the care program will be estimated using multilevel regression analysis. Secondary outcomes include accuracy of depression-detection in usual care, prevalence of depression-diagnosis in the intervention group, and response to treatment of depressed residents. An economic evaluation from a health care perspective will also be carried out. Discussion The care program is expected to be effective in reducing the frequency of depression and in increasing the quality of life of residents. The study will further provide insight in the cost-effectiveness of the care program. Trial registration Netherlands Trial Register (NTR: NTR1477
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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.
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Payab, Moloud; Motlagh, Ahmad-Reza Dorosty; Eshraghian, Mohammadreza; Rostami, Reza; Siassi, Fereydoun
2014-01-01
As a major public health problem, food insecurity has adverse social and psychological effects, in addition to the impact on public health. This study aimed to determine the association of household food security and depression in mothers with primary school children in Ray County. This descriptive, analytical cross-sectional study was conducted on 430 mothers with primary school children in the spring 2010. During a two-stage cluster sampling, an 18-items food security questionnaire (USDA) and the Beck depression inventory were completed via interviewing mothers. Chi-squared test, one-way analysis of variance, simple regression and stepwise multiple regression were used to describe and analyze data, and to identify related factors using SPSS-16 software. The prevalence of food insecurity and depression in mothers were 50.2% and 51.4% respectively. Also 34.6% of mothers in the "food secure" group were depressed and 77.8% in "food insecure with hunger" group were depressed and this difference was statistically significant. Twelve out of the 20 examined variables (age, family size, number of children, economic status, home ownership, employment households, educational level of the mother and also the head of household, height, energy intake, and carbohydrate and protein intakes) were significantly associated with food security and depression. Food insecurity and depression in mothers with primary school children in Ray County showed a significant positive correlation (P < 0.001). The prevalence of household food insecurity and depression in the studied population were high. Since there is a significant relationship between food insecurity and depression, more attention must be paid to this group.
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Application of range-test in multiple linear regression analysis in ...
African Journals Online (AJOL)
Application of range-test in multiple linear regression analysis in the presence of outliers is studied in this paper. First, the plot of the explanatory variables (i.e. Administration, Social/Commercial, Economic services and Transfer) on the dependent variable (i.e. GDP) was done to identify the statistical trend over the years.
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Nitzsche, Anika; Jung, Julia; Pfaff, Holger; Driller, Elke
2013-05-01
Depression is the leading cause of disability and high costs worldwide. One possibility for preventing depression in the workplace, which has received little consideration so far, is the promotion of a successful balance between work and personal life. The aim of this study was to investigate employees' negative and positive work-home interaction and their association with depressive symptoms. A cross-sectional study was conducted in the micro- and nanotechnology sector in Germany. A stepwise multivariate logistic regression analysis was performed using data from N = 213 employees. The results suggest that while negative work-home interaction is associated with an increased risk for depressive symptoms, positive work-home interaction is correlated with a lower risk. Neither positive nor negative interaction in the home-to-work direction demonstrated a significant association with depressive symptoms. When attempting to prevent mental illnesses, such as depression, it is important to develop strategies aimed at reducing conflict between work and personal life and promoting a positive exchange between these two domains. Copyright © 2012 Wiley Periodicals, Inc.
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Prevalence of depression among women attending a primary urban care clinic in Malaysia.
Sidik, Sherina Mohd; Arroll, Bruce; Goodyear-Smith, Felicity; Ahmad, Rozali
2012-07-01
Depression affects more women than men in Malaysia. The objective of this paper was to determine the prevalence of depression and its associated factors among women attending a government primary care clinic. A cross-sectional study was conducted in a government-funded primary care clinic in Malaysia. Consecutive adult female patients attending the clinic during the data collection period were invited to participate. The participants completed self-administered questionnaires (including the validated Patient Health Questionnaire [PHQ-9], which was translated into the Malay language). A total of 895 female patients participated in the study (response rate 87.5%). The prevalence of depression (PHQ-9 scores ≥ 10) was 12.1%. Based on multiple logistic regression analysis, certain stressful life events were found to be associated with depression (p depression among participants in this study was clinically significant and corresponded with the findings of other international studies. Factors associated with depression need to be highlighted and addressed accordingly. Clinicians in Malaysia should be aware of this prevalence when making diagnoses in primary care.
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Chung, Hsin-Fang; Pandeya, Nirmala; Dobson, Annette J; Kuh, Diana; Brunner, Eric J; Crawford, Sybil L; Avis, Nancy E; Gold, Ellen B; Mitchell, Ellen S; Woods, Nancy F; Bromberger, Joyce T; Thurston, Rebecca C; Joffe, Hadine; Yoshizawa, Toyoko; Anderson, Debra; Mishra, Gita D
2018-02-12
Many women experience both vasomotor menopausal symptoms (VMS) and depressed mood at midlife, but little is known regarding the prospective bi-directional relationships between VMS and depressed mood and the role of sleep difficulties in both directions. A pooled analysis was conducted using data from 21 312 women (median: 50 years, interquartile range 49-51) in eight studies from the InterLACE consortium. The degree of VMS, sleep difficulties, and depressed mood was self-reported and categorised as never, rarely, sometimes, and often (if reporting frequency) or never, mild, moderate, and severe (if reporting severity). Multivariable logistic regression models were used to examine the bi-directional associations adjusted for within-study correlation. At baseline, the prevalence of VMS (40%, range 13-62%) and depressed mood (26%, 8-41%) varied substantially across studies, and a strong dose-dependent association between VMS and likelihood of depressed mood was found. Over 3 years of follow-up, women with often/severe VMS at baseline were more likely to have subsequent depressed mood compared with those without VMS (odds ratios (OR) 1.56, 1.27-1.92). Women with often/severe depressed mood at baseline were also more likely to have subsequent VMS than those without depressed mood (OR 1.89, 1.47-2.44). With further adjustment for the degree of sleep difficulties at baseline, the OR of having a subsequent depressed mood associated with often/severe VMS was attenuated and no longer significant (OR 1.13, 0.90-1.40). Conversely, often/severe depressed mood remained significantly associated with subsequent VMS (OR 1.80, 1.38-2.34). Difficulty in sleeping largely explained the relationship between VMS and subsequent depressed mood, but it had little impact on the relationship between depressed mood and subsequent VMS.
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Emotional autonomy and depression among Chinese adolescents.
Chou, K L
2000-06-01
Depression is quite common among young people in Hong Kong Chinese society. This study examined the association between emotional autonomy and depressive symptomatology among Chinese young people in Hong Kong. The respondents were 512 young people between 16 and 18 years of age from a cross-sectional study in Hong Kong. Significant bivariate relationships were found between depressive symptomatology and three dimensions of emotional autonomy (individuation, nondependency on parents, and deidealization of parents). Using multiple regression models, the author found that depressive symptomatology was associated with two aspects of emotional autonomy: individuation and deidealization of parents. Results indicate that the relationships between depressive symptomatology and these three aspects of emotional autonomy are similar in both individualistic and collectivistic societies.
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Park, Young-Yoon; Jeong, Young-Jin; Lee, Junyong; Moon, Nayun; Bang, Inho; Kim, Hyunju; Yun, Kyung-Sook; Kim, Yong-I; Jeon, Tae-Hee
2018-01-01
This study investigated the effect of family members on terminally ill cancer patients by measuring the relationship of the presence of the family caregivers, visiting time by family and friends, and family adaptability and cohesion with patient's anxiety and depression. From June, 2016 to March, 2017, 100 terminally ill cancer patients who were admitted to a palliative care unit in Seoul, South Korea, were surveyed, and their medical records were reviewed. The Korean version of the Family Adaptability and Cohesion Evaluation Scales III and Hospital Anxiety-Depression Scale was used. Chi-square and multiple logistic regression analyses were used. The results of the chi-square analysis showed that the presence of family caregivers and family visit times did not have statistically significant effects on anxiety and depression in terminally ill cancer patients. In multiple logistic regression, when adjusted for age, sex, ECOG PS, and the monthly average income, the odds ratios (ORs) of the low family adaptability to anxiety and depression were 2.4 (1.03-5.83) and 5.4 (1.10-26.87), respectively. The OR of low family cohesion for depression was 5.4 (1.10-27.20) when adjusted for age, sex, ECOG PS, and monthly average household income. A higher family adaptability resulted in a lower degree of anxiety and depression in terminally ill cancer patients. The higher the family cohesion, the lower the degree of depression in the patient. The presence of the family caregiver and the visiting time by family and friends did not affect the patient's anxiety and depression.
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Simpson, William; Steiner, Meir; Coote, Marg; Frey, Benicio N
2016-01-01
Perinatal depressive symptoms often co-occur with other inflammatory morbidities of pregnancy. The goals of our study were 1) to examine whether changes in inflammatory markers from the third trimester of pregnancy to 12 weeks postpartum were associated with changes in depressive symptoms; 2) to examine whether third trimester inflammatory markers alone were predictive of postpartum depressive symptoms; and 3) to examine the relationship between inflammatory markers and depressive symptoms during the third trimester of pregnancy and at 12 weeks postpartum. Thirty-three healthy pregnant women were recruited from the Women's Health Concerns Clinic at St. Joseph's Healthcare in Hamilton, Canada. The impact of depressive symptoms on the levels of interleukin (IL)-6, IL-10, tumor necrosis factor alpha (TNF-α), and C-reactive protein (CRP) at the third trimester of pregnancy, at 12 weeks postpartum, and across time was assessed using linear and mixed-model regression. Regression analysis revealed no significant association between depressive symptoms and any of the candidate biomarkers during pregnancy, at 12 weeks postpartum, or over time. Pregnancy depressive symptoms (p > 0.001), IL-6 (p = 0.025), and IL-10 (p = 0.006) were significant predictors of postpartum Edinburgh Perinatal Depression Scale (EPDS) score. Our study supports previous reports from the literature showing no relationship between inflammatory biomarkers and depressive symptoms during late pregnancy, early postpartum, or across time. Our study is the first to observe an association between late pregnancy levels of IL-6 and IL-10 and postpartum depressive symptoms. Further studies with larger samples are required to confirm these findings.
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Hossain, Md Golam; Saw, Aik; Alam, Rashidul; Ohtsuki, Fumio; Kamarul, Tunku
2013-09-01
Cephalic index (CI), the ratio of head breadth to head length, is widely used to categorise human populations. The aim of this study was to access the impact of anthropometric measurements on the CI of male Japanese university students. This study included 1,215 male university students from Tokyo and Kyoto, selected using convenient sampling. Multiple regression analysis was used to determine the effect of anthropometric measurements on CI. The variance inflation factor (VIF) showed no evidence of a multicollinearity problem among independent variables. The coefficients of the regression line demonstrated a significant positive relationship between CI and minimum frontal breadth (p regression analysis showed a greater likelihood for minimum frontal breadth (p regression analysis revealed bizygomatic breadth, head circumference, minimum frontal breadth, head height and morphological facial height to be the best predictor craniofacial measurements with respect to CI. The results suggest that most of the variables considered in this study appear to influence the CI of adult male Japanese students.
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Prevalence and factors associated with depressive symptoms in Malay women.
Din, Meriam Omar; Noor, Noraini M
2009-12-01
Due to a dearth of research on depressive symptoms in Malaysia, particularly in Malay women, a community study was conducted to examine the prevalence and factors associated with current depressive symptoms in rural and urban Malay women with low socioeconomic status. Four hundred eighty-seven women (N rural = 242, N urban = 245) were interviewed. Information on socio-demographic variables, potential risk factors (family history of mental health problems, lifetime major depressive symptoms, and current life stressors), and current depressive symptoms (measured by the Centre for Epidemiologic Studies Depression Scale, CES-D) was collected. The prevalence of current depressive symptoms (CES-D scores > or = 16) reported was 34.5%, while the prevalence of lifetime major depressive symptoms was 27.5%. A significantly higher rate of current depressive symptoms was observed in urban women compared to rural women, chi(2) (1, N = 487) = 3.99, p depressive symptoms. The results of the multiple hierarchical regression analysis indicated that three potential factors (family history of mental health problems, lifetime major depressive symptoms, and current life stressors) were positively associated with current depressive symptoms, accounting for 17.8% of the variance, over and above the socio-demographic variables. The prevalence of depressive symptoms reported in the study was comparable to past studies. Among the factors associated with current depressive symptoms, the single most important was lifetime major depressive symptoms, followed by current life stressors, and family history of mental health problems. Among the socio-demographic variables used, perceived health status was the most important. The factors associated with depressive symptoms found in this study are consistent with past findings in the West, implying the universality of the phenomenon and common factors related to depressive symptoms in women.
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Compulsive buying: Earlier illicit drug use, impulse buying, depression, and adult ADHD symptoms.
Brook, Judith S; Zhang, Chenshu; Brook, David W; Leukefeld, Carl G
2015-08-30
This longitudinal study examined the association between psychosocial antecedents, including illicit drug use, and adult compulsive buying (CB) across a 29-year time period from mean age 14 to mean age 43. Participants originally came from a community-based random sample of residents in two upstate New York counties. Multivariate linear regression analysis was used to study the relationship between the participant's earlier psychosocial antecedents and adult CB in the fifth decade of life. The results of the multivariate linear regression analyses showed that gender (female), earlier adult impulse buying (IB), depressive mood, illicit drug use, and concurrent ADHD symptoms were all significantly associated with adult CB at mean age 43. It is important that clinicians treating CB in adults should consider the role of drug use, symptoms of ADHD, IB, depression, and family factors in CB. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
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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.
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Depression Case Finding in Individuals with Dementia: A Systematic Review and Meta-Analysis.
Goodarzi, Zahra S; Mele, Bria S; Roberts, Derek J; Holroyd-Leduc, Jayna
2017-05-01
To compare the diagnostic accuracy of depression case finding tools with a criterion standard in the outpatient setting among adults with dementia. Systematic review and meta-analysis. Studies of older outpatients with dementia. Elderly outpatients (clinic and long-term care) with dementia (N = 3,035). Prevalence of major depression and diagnostic accuracy measures including sensitivity, specificity, and likelihood ratios. From the 11,539 citations, 20 studies were included for qualitative synthesis and 15 for a meta-analysis. Tools included were the Montgomery Åsberg Depression Rating Scale, Cornell Scale for Depression in Dementia (CSDD), Geriatric Depression Scale (GDS), Center for Epidemiologic Studies Depression Scale (CES-D), Hamilton Depression Rating Scale (HDRS), Single Question, Nijmegen Observer-Rated Depression Scale, and Even Briefer Assessment Scale-Depression. The pooled prevalence of depression in individuals with dementia was 30.3% (95% CI = 22.1-38.5). The average age was 75.2 (95% CI = 71.7-78.7), and mean Mini-Mental State Examination scores ranged from 11.2 to 24. The diagnostic accuracy of the individual tools was pooled for the best-reported cutoffs and for each cutoff, if available. The CSDD had a sensitivity of 0.84 (95% CI = 0.73-0.91) and a specificity of 0.80 (95% CI = 0.65-0.90), the 30-item GDS (GDS-30) had a sensitivity of 0.62 (95% CI = 0.45-0.76) and a specificity 0.81 (95% CI = 0.75-0.85), and the HDRS had a sensitivity of 0.86 (95% CI = 0.63-0.96) and a specificity of 0.84 (95% CI = 0.76-0.90). Summary statistics for all tools across best-reported cutoffs had significant heterogeneity. There are many validated tools for the detection of depression in individuals with dementia. Tools that incorporate a physician interview with patient and collateral histories, the CSDD and HDRS, have higher sensitivities, which would ensure fewer false-negatives. © 2017, Copyright the Authors Journal compilation © 2017, The American Geriatrics
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Understanding poisson regression.
Hayat, Matthew J; Higgins, Melinda
2014-04-01
Nurse investigators often collect study data in the form of counts. Traditional methods of data analysis have historically approached analysis of count data either as if the count data were continuous and normally distributed or with dichotomization of the counts into the categories of occurred or did not occur. These outdated methods for analyzing count data have been replaced with more appropriate statistical methods that make use of the Poisson probability distribution, which is useful for analyzing count data. The purpose of this article is to provide an overview of the Poisson distribution and its use in Poisson regression. Assumption violations for the standard Poisson regression model are addressed with alternative approaches, including addition of an overdispersion parameter or negative binomial regression. An illustrative example is presented with an application from the ENSPIRE study, and regression modeling of comorbidity data is included for illustrative purposes. Copyright 2014, SLACK Incorporated.
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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.
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Directory of Open Access Journals (Sweden)
Garcia Pedro
2007-09-01
Full Text Available Abstract Background Preeclampsia involves endothelial dysfunction, platelet dysfunction/activation and sympathetic over-activity similar to cardiovascular disorders (CVD. Depression, an independent risk factor for progression of CVD, was found to be associated with an increased risk of preeclampsia among Finnish women. We examined the relation between depression/depressive symptoms and preeclampsia risk among Peruvian women. Methods The study included 339 preeclamptic cases and 337 normotensive controls. Depression and depressive symptoms during pregnancy were assessed using the Patient Health Questionnaire (PHQ-9. Odds ratios (OR and 95% confidence intervals (CI were estimated from logistic regression models. Results The prevalence of moderate depression was 11.5% among cases and 5.3% among controls. The corresponding figures for moderate-severe depression were 3.5% for cases and 2.1% for controls. Compared with non-depressed women, those with moderate depression had a 2.3-fold increased risk of preeclampsia (95% CI: 1.2–4.4, while moderate-severe depression was associated with a 3.2-fold (95% CI: 1.1–9.6 increased risk of preeclampsia. Associations of each of the 9-items of the PHQ-9 depression screening module with preeclampsia risk were also observed. Conclusion Our findings are consistent with the only other published report on this topic. Collectively, available data support recent calls for expanded efforts to study and address depression among pregnant women.
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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.
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Is meat consumption associated with depression? A meta-analysis of observational studies.
Zhang, Yi; Yang, Ye; Xie, Ming-Sheng; Ding, Xiang; Li, Hui; Liu, Zhi-Chen; Peng, Shi-Fang
2017-12-28
A number of epidemiological studies have examined the effect of meat consumption on depression. However, no conclusion has been reached. The aim of this study was to examine the relationship between meat consumption and depression. The electronic databases of PUBMED and EMBASE were searched up to March 2017, for observational studies that examined the relationship between meat consumption and depression. The pooled odds ratio (OR) for the prevalence of depression and the relative risk (RR) for the incidence of depression, as well as their corresponding 95% confidence interval (CI), were calculated respectively (the highest versus the lowest category of meat consumption). A total of eight observational studies (three cross-sectional, three cohort and two case-control studies) were included in this meta-analysis. Specifically, six studies were related to the prevalence of depression, and the overall multi-variable adjusted OR suggested no significant association between meat consumption and the prevalence of depression (OR = 0.89, 95% CI: 0.65 to 1.22; P = 0.469). In contrast, for the three studies related to the incidence of depression, the overall multi-variable adjusted RR evidenced an association between meat consumption and a moderately higher incidence of depression (RR = 1.13, 95% CI: 1.03 to 1.24; P = 0.013). Meat consumption may be associated with a moderately higher risk of depression. However, it still warrants further studies to confirm such findings due to the limited number of prospective studies.
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Wang, Wen-Cheng; Cho, Wen-Chien; Chen, Yin-Jen
2014-01-01
It is estimated that mainland Chinese tourists travelling to Taiwan can bring annual revenues of 400 billion NTD to the Taiwan economy. Thus, how the Taiwanese Government formulates relevant measures to satisfy both sides is the focus of most concern. Taiwan must improve the facilities and service quality of its tourism industry so as to attract more mainland tourists. This paper conducted a questionnaire survey of mainland tourists and used grey relational analysis in grey mathematics to analyze the satisfaction performance of all satisfaction question items. The first eight satisfaction items were used as independent variables, and the overall satisfaction performance was used as a dependent variable for quantile regression model analysis to discuss the relationship between the dependent variable under different quantiles and independent variables. Finally, this study further discussed the predictive accuracy of the least mean regression model and each quantile regression model, as a reference for research personnel. The analysis results showed that other variables could also affect the overall satisfaction performance of mainland tourists, in addition to occupation and age. The overall predictive accuracy of quantile regression model Q0.25 was higher than that of the other three models.
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Wang, Wen-Cheng; Cho, Wen-Chien; Chen, Yin-Jen
2014-01-01
It is estimated that mainland Chinese tourists travelling to Taiwan can bring annual revenues of 400 billion NTD to the Taiwan economy. Thus, how the Taiwanese Government formulates relevant measures to satisfy both sides is the focus of most concern. Taiwan must improve the facilities and service quality of its tourism industry so as to attract more mainland tourists. This paper conducted a questionnaire survey of mainland tourists and used grey relational analysis in grey mathematics to analyze the satisfaction performance of all satisfaction question items. The first eight satisfaction items were used as independent variables, and the overall satisfaction performance was used as a dependent variable for quantile regression model analysis to discuss the relationship between the dependent variable under different quantiles and independent variables. Finally, this study further discussed the predictive accuracy of the least mean regression model and each quantile regression model, as a reference for research personnel. The analysis results showed that other variables could also affect the overall satisfaction performance of mainland tourists, in addition to occupation and age. The overall predictive accuracy of quantile regression model Q0.25 was higher than that of the other three models. PMID:24574916
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Directory of Open Access Journals (Sweden)
Wen-Cheng Wang
2014-01-01
Full Text Available It is estimated that mainland Chinese tourists travelling to Taiwan can bring annual revenues of 400 billion NTD to the Taiwan economy. Thus, how the Taiwanese Government formulates relevant measures to satisfy both sides is the focus of most concern. Taiwan must improve the facilities and service quality of its tourism industry so as to attract more mainland tourists. This paper conducted a questionnaire survey of mainland tourists and used grey relational analysis in grey mathematics to analyze the satisfaction performance of all satisfaction question items. The first eight satisfaction items were used as independent variables, and the overall satisfaction performance was used as a dependent variable for quantile regression model analysis to discuss the relationship between the dependent variable under different quantiles and independent variables. Finally, this study further discussed the predictive accuracy of the least mean regression model and each quantile regression model, as a reference for research personnel. The analysis results showed that other variables could also affect the overall satisfaction performance of mainland tourists, in addition to occupation and age. The overall predictive accuracy of quantile regression model Q0.25 was higher than that of the other three models.
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Relationships between erectile dysfunction, depression, and anxiety in Japanese subjects.
Sugimori, Hiroki; Yoshida, Katsumi; Tanaka, Toshiaki; Baba, Katsuyuki; Nishida, Takayasu; Nakazawa, Ryuto; Iwamoto, Teruaki
2005-05-01
This study aimed to elucidate the relationships between erectile dysfunction (ED) and depression or anxiety. Subjects were 1,419 Japanese men aged 40-64 years. ED was assessed by the International Index of Erectile Function 5 (IIEF-5) score (Japanese version), and depression and anxiety symptoms were assessed by the Hospital Anxiety and Depression Scale (HADS). In this study ED cases were defined as those whose IIEF-5 value was less than 12, and a score of 8 or higher was used to classify a subject as suffering from depression or anxiety, respectively. The prevalence odds ratio (OR) of ED was calculated with confidence interval (CI) estimated by the Woolf's method by five age groups (40-44, 45-49, 50-54, 55-59, 60-64 years). To control for age, body mass index, smoking, and alcohol drinking factors, we conducted the multivariate logistic regression analysis for calculating adjusted ORs and 99% CIs. ED was significantly associated with depression in age groups 45-49 (OR 3.42, 99% CI 1.51-7.76) and 50-54 years (OR 2.43, 99% CI 1.11-5.35). After using multivariate analysis, adjusted OR also showed statistical significance. (OR 2.02, 99% CI 1.32-3.08). ED was significantly associated with anxiety in the 50-55-year-old age group (OR 2.48, 99% CI 1.12-5.47). After using multivariate analysis, adjusted OR also showed statistical significance (OR 1.77, 99% CI 1.15-2.72). The concomitant depression and anxiety group (A+D+) had significantly higher prevalence of ED than the control group (A-D-) in both the 45-49 and 50-54 age groups. (P < 0.01) ED associated significantly with depression and anxiety status only in late 40s to early 50s (45-55 years) in male Japanese. Furthermore, comorbidities of depression and anxiety strengthen this association. Our results might be useful in furthering understanding of ED etiology and determining a target population for prevention in ED subjects.
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Ole E. Barndorff-Nielsen; Neil Shephard
2002-01-01
This paper analyses multivariate high frequency financial data using realised covariation. We provide a new asymptotic distribution theory for standard methods such as regression, correlation analysis and covariance. It will be based on a fixed interval of time (e.g. a day or week), allowing the number of high frequency returns during this period to go to infinity. Our analysis allows us to study how high frequency correlations, regressions and covariances change through time. In particular w...
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Variability of individual genetic load: consequences for the detection of inbreeding depression.
Restoux, Gwendal; Huot de Longchamp, Priscille; Fady, Bruno; Klein, Etienne K
2012-03-01
Inbreeding depression is a key factor affecting the persistence of natural populations, particularly when they are fragmented. In species with mixed mating systems, inbreeding depression can be estimated at the population level by regressing the average progeny fitness by the selfing rate of their mothers. We applied this method using simulated populations to investigate how population genetic parameters can affect the detection power of inbreeding depression. We simulated individual selfing rates and genetic loads from which we computed fitness values. The regression method yielded high statistical power, inbreeding depression being detected as significant (5 % level) in 92 % of the simulations. High individual variation in selfing rate and high mean genetic load led to better detection of inbreeding depression while high among-individual variation in genetic load made it more difficult to detect inbreeding depression. For a constant sampling effort, increasing the number of progenies while decreasing the number of individuals per progeny enhanced the detection power of inbreeding depression. We discuss the implication of among-mother variability of genetic load and selfing rate on inbreeding depression studies.
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[Association between depression and fall risk among elderly community residents].
Tanaka, Mika; Kusaga, Mari; Ushijima, Kayo; Watanabe, Chiho
2012-01-01
To investigate the relationship between depression and fall risk in the elderly. Residents of a village in Kumamoto Prefecture, Japan (563 people), aged ≥65 years were given a self-administered questionnaire survey between June and July 2010. To evaluate depression status and fall risk, the Geriatric Depression Scale--Short Form and the Simple Screening Test for Risk of Falls were administered. Adjustment factors assessed were age, sex, medical history for diseases associated with falls, usage of hypnotics, and cognitive dysfunction. We examined the relationship between depression and fall risk using multiple logistic regression analysis. Given that some degree of correlation was expected among adjustment factors in the model, we constructed a model that introduced the adjustment factors stepwise to confirm the robustness of the model and any effect of multicollinearity. Overall (n=395), after excluding data from participants with significant cognitive disturbance or severe physical problems from among valid responders, a significant relationship was found between depression and fall risk in all models. The odds ratio was 2.28 (95% confidence interval: 1.31-3.96) in the final model, controlling for all adjustment factors. Our findings suggest a significant relationship between depression and fall risk in the elderly. This relationship implies that the improvement of depression could be an effective measure to decrease fall risk in the elderly.
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International Nuclear Information System (INIS)
Janssen, I.; Stebbings, J.H.
1990-01-01
In environmental epidemiology, trace and toxic substance concentrations frequently have very highly skewed distributions ranging over one or more orders of magnitude, and prediction by conventional regression is often poor. Classification and Regression Tree Analysis (CART) is an alternative in such contexts. To compare the techniques, two Pennsylvania data sets and three independent variables are used: house radon progeny (RnD) and gamma levels as predicted by construction characteristics in 1330 houses; and ∼200 house radon (Rn) measurements as predicted by topographic parameters. CART may identify structural variables of interest not identified by conventional regression, and vice versa, but in general the regression models are similar. CART has major advantages in dealing with other common characteristics of environmental data sets, such as missing values, continuous variables requiring transformations, and large sets of potential independent variables. CART is most useful in the identification and screening of independent variables, greatly reducing the need for cross-tabulations and nested breakdown analyses. There is no need to discard cases with missing values for the independent variables because surrogate variables are intrinsic to CART. The tree-structured approach is also independent of the scale on which the independent variables are measured, so that transformations are unnecessary. CART identifies important interactions as well as main effects. The major advantages of CART appear to be in exploring data. Once the important variables are identified, conventional regressions seem to lead to results similar but more interpretable by most audiences. 12 refs., 8 figs., 10 tabs
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Hosseinifard, Behshad; Moradi, Mohammad Hassan; Rostami, Reza
2013-03-01
Diagnosing depression in the early curable stages is very important and may even save the life of a patient. In this paper, we study nonlinear analysis of EEG signal for discriminating depression patients and normal controls. Forty-five unmedicated depressed patients and 45 normal subjects were participated in this study. Power of four EEG bands and four nonlinear features including detrended fluctuation analysis (DFA), higuchi fractal, correlation dimension and lyapunov exponent were extracted from EEG signal. For discriminating the two groups, k-nearest neighbor, linear discriminant analysis and logistic regression as the classifiers are then used. Highest classification accuracy of 83.3% is obtained by correlation dimension and LR classifier among other nonlinear features. For further improvement, all nonlinear features are combined and applied to classifiers. A classification accuracy of 90% is achieved by all nonlinear features and LR classifier. In all experiments, genetic algorithm is employed to select the most important features. The proposed technique is compared and contrasted with the other reported methods and it is demonstrated that by combining nonlinear features, the performance is enhanced. This study shows that nonlinear analysis of EEG can be a useful method for discriminating depressed patients and normal subjects. It is suggested that this analysis may be a complementary tool to help psychiatrists for diagnosing depressed patients. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.
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The relationship between family support; pain and depression in elderly with arthritis.
Hung, Man; Bounsanga, Jerry; Voss, Maren W; Crum, Anthony B; Chen, Wei; Birmingham, Wendy C
2017-01-01
The prevalence and chronic nature of arthritis make it the most common cause of disability among U.S.A adults. Family support reduces the negative impact of chronic conditions generally but its role in pain and depression for arthritic conditions is not well understood. A total of 844 males (35.0%) and 1567 females (65.0%) with arthritic conditions (n = 2411) were drawn from the 2012 Health and Retirement Study to examine the effect of family support on pain and depressive symptoms. Using regression analysis and controlling for age, ethnicity, gender, marital/educational status and employment/income, physical function/disability status, pain and antidepressant medications, and other clinical indicators of chronic health conditions, we examined the effects of family support (spouse, children, other) on pain and depression levels. Results indicated that depressive symptoms decreased significantly with strong family and spousal support (p relationship between family support, pain, and depression for individuals with arthritis. Future longitudinal studies are needed to evaluate family support and relationships over a wider spectrum of demographics.
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A rotor optimization using regression analysis
Giansante, N.
1984-01-01
The design and development of helicopter rotors is subject to the many design variables and their interactions that effect rotor operation. Until recently, selection of rotor design variables to achieve specified rotor operational qualities has been a costly, time consuming, repetitive task. For the past several years, Kaman Aerospace Corporation has successfully applied multiple linear regression analysis, coupled with optimization and sensitivity procedures, in the analytical design of rotor systems. It is concluded that approximating equations can be developed rapidly for a multiplicity of objective and constraint functions and optimizations can be performed in a rapid and cost effective manner; the number and/or range of design variables can be increased by expanding the data base and developing approximating functions to reflect the expanded design space; the order of the approximating equations can be expanded easily to improve correlation between analyzer results and the approximating equations; gradients of the approximating equations can be calculated easily and these gradients are smooth functions reducing the risk of numerical problems in the optimization; the use of approximating functions allows the problem to be started easily and rapidly from various initial designs to enhance the probability of finding a global optimum; and the approximating equations are independent of the analysis or optimization codes used.
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Martínez, Pablo; Castro, Ariel; Alonso, Diego; Vöhringer, Paul A; Rojas, Graciela
2017-07-20
Depression is a global-scale public health problem, and a significant association has been established between depression and chronic physical diseases. This growing comorbidity poses a challenge to healthcare systems. We aim to assess the effectiveness of the management of major depressive episodes/disorder in adults with comorbid chronic physical diseases. We will conduct a systematic review and meta-analysis of randomised clinical trials. Two databases MEDLINE and Cochrane Library (Cochrane Database for Systematic Reviews and CENTRAL), as well as the reference lists of the included articles, will be searched for studies either in English or Spanish with published results within the 2005-2015 period. Studies must fulfil the following conditions: (1) participants aged 18 years or older, diagnosed as having a major depressive episodes/disorder according to standardised criteria and chronic physical diseases; (2)interventions (be it pharmacological, psychological, psychosocial or a combination) must be compared with control conditions (other 'active' intervention, treatment as usual, waiting list or placebo); (3)and must report reduction in depressive symptoms after treatment, response to treatment, remission of major depressive episodes/disorder and significant improvement in quality of life. Data extraction, risk of bias evaluation, results summarisation and quality of the evidence (GRADE) will be performed as recommended by the Cochrane Collaboration. A qualitative synthesis and a random effects meta-analysis will be carried out. Effect sizes will be calculated (relative risk and Cohen's d), I 2 and Q statistics will be employed to study heterogeneity and publication bias analysis will be performed. Subgroup analyses and meta-regression will be carried out. Results are expected to be published in specialised peer-reviewed journals (preferred topics: Mental Health, Psychology, Psychiatry and/or Systematic Reviews) and dissemination activities will be targeted to
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Directory of Open Access Journals (Sweden)
Paulo Roberto Santos
2011-12-01
Full Text Available OBJECTIVE: To determine the correlation between depression and quality of life (QOL of patients in hemodialysis (HD. METHOD: One hundred and sixty six patients over 18 years of age who had been in HD for at least three months and had no history of transplant. QOL was assessed using the SF-36. To categorize depression, a score > 10 was used on the 10-item version of the Center for Epidemiologic Studies Depression Scale (CES-D. Comparisons between depressed and nondepressed patients were performed using the chi-square test, Student's t-test, and Mann-Whitney test. Multiple regression was performed to assess the predictive variables of patients' QOL. RESULTS: Symptoms of depression were found in 13 (7.8% patients. The only variable that differed among depressed patients was QOL. Depressed patients presented lower scores in vitality (40.7 vs. 57.3; p = 0.010, role-emotional (25.6 vs. 62.5; p = 0.006, and mental health (50.1 vs. 65.4; p = 0.023. Regression analysis demonstrated that depression was a predictor of role-emotional (OR = 0.981, CI = 0.967-0.996; p = 0.010 and mental health (OR = 0.970, CI = 0.946-0.996; p = 0.022. CONCLUSION: Depressed patients experience a poor QOL because, in addition to their chronically affected physical aspects, they also feel limited in the mental dimensions, which usually have the highest score among non-depressed HD patients.OBJETIVO: Determinar a correlação entre depressão e qualidade de vida (QV de pacientes submetidos à hemodiálise (HD. MÉTODO: Foram estudados 166 pacientes com idade superior a 18 anos, em HD por pelo menos três meses e sem transplante prévio. O nível de QV foi medido pelo questionário SF-36. Para categorizar depressão foi utilizada a versão de 10 itens do Center for Epidemiologic Studies Depression Scale (CES-D; escore > 10. As comparações entre pacientes com e sem depressão foram realizadas pelos testes do qui-quadrado, t de Student e Mann-Whitney. Regressão múltipla foi
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International Nuclear Information System (INIS)
Hulsteijn, Leonie T. van; Corssmit, Eleonora P.M.; Coremans, Ida E.M.; Smit, Johannes W.A.; Jansen, Jeroen C.; Dekkers, Olaf M.
2013-01-01
The primary treatment goal of radiotherapy for paragangliomas of the head and neck region (HNPGLs) is local control of the tumor, i.e. stabilization of tumor volume. Interestingly, regression of tumor volume has also been reported. Up to the present, no meta-analysis has been performed giving an overview of regression rates after radiotherapy in HNPGLs. The main objective was to perform a systematic review and meta-analysis to assess regression of tumor volume in HNPGL-patients after radiotherapy. A second outcome was local tumor control. Design of the study is systematic review and meta-analysis. PubMed, EMBASE, Web of Science, COCHRANE and Academic Search Premier and references of key articles were searched in March 2012 to identify potentially relevant studies. Considering the indolent course of HNPGLs, only studies with ⩾12 months follow-up were eligible. Main outcomes were the pooled proportions of regression and local control after radiotherapy as initial, combined (i.e. directly post-operatively or post-embolization) or salvage treatment (i.e. after initial treatment has failed) for HNPGLs. A meta-analysis was performed with an exact likelihood approach using a logistic regression with a random effect at the study level. Pooled proportions with 95% confidence intervals (CI) were reported. Fifteen studies were included, concerning a total of 283 jugulotympanic HNPGLs in 276 patients. Pooled regression proportions for initial, combined and salvage treatment were respectively 21%, 33% and 52% in radiosurgery studies and 4%, 0% and 64% in external beam radiotherapy studies. Pooled local control proportions for radiotherapy as initial, combined and salvage treatment ranged from 79% to 100%. Radiotherapy for jugulotympanic paragangliomas results in excellent local tumor control and therefore is a valuable treatment for these types of tumors. The effects of radiotherapy on regression of tumor volume remain ambiguous, although the data suggest that regression can
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Evaluation of the risk factors of depressive disorders comorbid with obstructive sleep apnea
Directory of Open Access Journals (Sweden)
Cai LQ
2017-01-01
Full Text Available Liqiang Cai,1 Luoyi Xu,1 Lili Wei,1 Yi Sun,2 Wei Chen1,3 1Department of Psychiatry, Sir Run Run Shaw Hospital, Collaborative Innovation Center for Brain Science, Zhejiang University School of Medicine, 2Department of Electroencephalogram, Sir Run Run Shaw Hospital, 3Key Laboratory of Medical Neurobiology, Chinese Ministry of Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China Objective: Overlap of obstructive sleep apnea (OSA complicates diagnosis of depressive disorder and renders antidepressant treatment challenging. Previous studies have reported that the incidence of OSA is higher in patients with depression than in the general population. The purpose of this article was to investigate clinical risk factors to predict OSA in depression disorders.Methods: A total of 115 patients diagnosed with major depressive disorder (MDD and bipolar disorder (in a major depressive episode, who underwent overnight polysomnography, were studied retrospectively. They were divided into two groups: non-OSA and OSA. The patients who had apnea–hypopnea index (AHI <5 were defined as the non-OSA group, whereas the OSA group was defined as those with an AHI ≥5. Logistic regression was used to analyze the association among AHI and clinical factors, including sex, age, body mass index (BMI, Hamilton Depression Rating Scale (HAMD, Hamilton Anxiety Rating Scale, Pittsburgh Sleep Quality Index (PSQI, and diagnosis (MDD or bipolar disorder [in a major depressive episode].Results: In 115 patients, 51.3% had OSA. Logistic regression analysis showed significant associations between AHI and diagnosis (MDD or bipolar disorder [in a major depressive episode], BMI, HAMD, and PSQI (P<0.05.Conclusion: The findings of our study suggested that the rate of depression being comorbid with OSA is remarkably high and revealed that there is a high rate of undetected OSA among depressive disorder patients and untreated OSA among mood
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Robust analysis of trends in noisy tokamak confinement data using geodesic least squares regression
Energy Technology Data Exchange (ETDEWEB)
Verdoolaege, G., E-mail: geert.verdoolaege@ugent.be [Department of Applied Physics, Ghent University, B-9000 Ghent (Belgium); Laboratory for Plasma Physics, Royal Military Academy, B-1000 Brussels (Belgium); Shabbir, A. [Department of Applied Physics, Ghent University, B-9000 Ghent (Belgium); Max Planck Institute for Plasma Physics, Boltzmannstr. 2, 85748 Garching (Germany); Hornung, G. [Department of Applied Physics, Ghent University, B-9000 Ghent (Belgium)
2016-11-15
Regression analysis is a very common activity in fusion science for unveiling trends and parametric dependencies, but it can be a difficult matter. We have recently developed the method of geodesic least squares (GLS) regression that is able to handle errors in all variables, is robust against data outliers and uncertainty in the regression model, and can be used with arbitrary distribution models and regression functions. We here report on first results of application of GLS to estimation of the multi-machine scaling law for the energy confinement time in tokamaks, demonstrating improved consistency of the GLS results compared to standard least squares.