Sample records for identify important predictors
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Identifying predictors of work engagement: An example from a management consultancy company
Persson, Andreas
2010-01-01
Empirical evidence suggests work engagement to be of crucial importance for business critical aspects such as work performance and employee retention. When building a strategy for enhancing engagement in the workplace, identifying its predictors becomes important. Therefore, the aim of this study was to identify predictors related to work engagement. The study was conducted in a management consultancy company, through analyzing their employee survey. Results indicated satisfaction with leader...
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Determining Predictor Importance in Hierarchical Linear Models Using Dominance Analysis
Luo, Wen; Azen, Razia
2013-01-01
Dominance analysis (DA) is a method used to evaluate the relative importance of predictors that was originally proposed for linear regression models. This article proposes an extension of DA that allows researchers to determine the relative importance of predictors in hierarchical linear models (HLM). Commonly used measures of model adequacy in…
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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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Identifying cognitive predictors of reactive and proactive aggression
Brugman, S.; Lobbestael, J.; Arntz, A.R.; Cima, M.; Schumann, T.; Dambacher, F.
2015-01-01
The aim of this study was to identify implicit cognitive predictors of aggressive behavior. Specifically, the predictive value of an attentional bias for aggressive stimuli and automatic association of the self and aggression was examined for reactive and proactive aggressive behavior in a
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Nicodemus, Kristin K; Malley, James D; Strobl, Carolin; Ziegler, Andreas
2010-02-27
Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observed. Recent works on permutation-based variable importance measures (VIMs) used in RF have come to apparently contradictory conclusions. We present an extended simulation study to synthesize results. In the case when both predictor correlation was present and predictors were associated with the outcome (HA), the unconditional RF VIM attributed a higher share of importance to correlated predictors, while under the null hypothesis that no predictors are associated with the outcome (H0) the unconditional RF VIM was unbiased. Conditional VIMs showed a decrease in VIM values for correlated predictors versus the unconditional VIMs under HA and was unbiased under H0. Scaled VIMs were clearly biased under HA and H0. Unconditional unscaled VIMs are a computationally tractable choice for large datasets and are unbiased under the null hypothesis. Whether the observed increased VIMs for correlated predictors may be considered a "bias" - because they do not directly reflect the coefficients in the generating model - or if it is a beneficial attribute of these VIMs is dependent on the application. For example, in genetic association studies, where correlation between markers may help to localize the functionally relevant variant, the increased importance of correlated predictors may be an advantage. On the other hand, we show examples where this increased importance may result in spurious signals.
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Importance of predictor variables for models of chemical function
U.S. Environmental Protection Agency — Importance of random forest predictors for all classification models of chemical function. This dataset is associated with the following publication: Isaacs , K., M....
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Jabson, Jennifer M.; Bowen, Deborah; Weinberg, Janice; Kroenke, Candyce; Luo, Juhua; Messina, Catherine; Shumaker, Sally; Tindle, Hilary A.
2016-01-01
BACKGROUND Strategies for identifying the most relevant psychosocial predictors in studies of racial/ethnic minority women’s health are limited because they largely exclude cultural influences and they assume that psychosocial predictors are independent. This paper proposes and tests an empirical solution. METHODS Hierarchical cluster analysis, conducted with data from 140,652 Women’s Health Initiative participants, identified clusters among individual psychosocial predictors. Multivariable analyses tested associations between clusters and health outcomes. RESULTS A Social Cluster and a Stress Cluster were identified. The Social Cluster was positively associated with well-being and inversely associated with chronic disease index, and the Stress Cluster was inversely associated with well-being and positively associated with chronic disease index. As hypothesized, the magnitude of association between clusters and outcomes differed by race/ethnicity. CONCLUSIONS By identifying psychosocial clusters and their associations with health, we have taken an important step toward understanding how individual psychosocial predictors interrelate and how empirically formed Stress and Social clusters relate to health outcomes. This study has also demonstrated important insight about differences in associations between these psychosocial clusters and health among racial/ethnic minorities. These differences could signal the best pathways for intervention modification and tailoring. PMID:27279761
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The importance of epidemiological predictors for healthcare costs for chronic patients
DEFF Research Database (Denmark)
Hansen, Louise
SUMMARY Healthcare systems around the world continue to see their expenditures increase, measured as a percentage of gross domestic product. Within health economics, the need for models that can predict healthcare costs is of substantial importance, as decisions to introduce as well as to decommi......SUMMARY Healthcare systems around the world continue to see their expenditures increase, measured as a percentage of gross domestic product. Within health economics, the need for models that can predict healthcare costs is of substantial importance, as decisions to introduce as well...... to consider, and lastly choosing the most appropriate statistical model. This framework was developed as a result of five quantitative studies, of which four were based on patient specific data from registers, and one on cost of illness theory. The framework was applied for predicting the cost for all...... which these patients are treated, as different resources were affected differently by the clinical and behavioural predictors included. In conclusion, the results from this dissertation highlight the importance being familiar with the population of interest, identifying the relevant resources, including...
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Phillips, Mary L.; Chase, Henry W.; Sheline, Yvette I.; Etkin, Amit; Almeida, Jorge R.C.; Deckersbach, Thilo; Trivedi, Madhukar H.
2015-01-01
Objective Despite significant advances in neuroscience and treatment development, no widely accepted biomarkers are available to inform diagnostics or identify preferred treatments for individuals with major depressive disorder. Method In this critical review, the authors examine the extent to which multimodal neuroimaging techniques can identify biomarkers reflecting key pathophysiologic processes in depression and whether such biomarkers may act as predictors, moderators, and mediators of treatment response that might facilitate development of personalized treatments based on a better understanding of these processes. Results The authors first highlight the most consistent findings from neuroimaging studies using different techniques in depression, including structural and functional abnormalities in two parallel neural circuits: serotonergically modulated implicit emotion regulation circuitry, centered on the amygdala and different regions in the medial prefrontal cortex; and dopaminergically modulated reward neural circuitry, centered on the ventral striatum and medial prefrontal cortex. They then describe key findings from the relatively small number of studies indicating that specific measures of regional function and, to a lesser extent, structure in these neural circuits predict treatment response in depression. Conclusions Limitations of existing studies include small sample sizes, use of only one neuroimaging modality, and a focus on identifying predictors rather than moderators and mediators of differential treatment response. By addressing these limitations and, most importantly, capitalizing on the benefits of multimodal neuroimaging, future studies can yield moderators and mediators of treatment response in depression to facilitate significant improvements in shorter- and longer-term clinical and functional outcomes. PMID:25640931
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Phillips, Mary L; Chase, Henry W; Sheline, Yvette I; Etkin, Amit; Almeida, Jorge R C; Deckersbach, Thilo; Trivedi, Madhukar H
2015-02-01
Despite significant advances in neuroscience and treatment development, no widely accepted biomarkers are available to inform diagnostics or identify preferred treatments for individuals with major depressive disorder. In this critical review, the authors examine the extent to which multimodal neuroimaging techniques can identify biomarkers reflecting key pathophysiologic processes in depression and whether such biomarkers may act as predictors, moderators, and mediators of treatment response that might facilitate development of personalized treatments based on a better understanding of these processes. The authors first highlight the most consistent findings from neuroimaging studies using different techniques in depression, including structural and functional abnormalities in two parallel neural circuits: serotonergically modulated implicit emotion regulation circuitry, centered on the amygdala and different regions in the medial prefrontal cortex; and dopaminergically modulated reward neural circuitry, centered on the ventral striatum and medial prefrontal cortex. They then describe key findings from the relatively small number of studies indicating that specific measures of regional function and, to a lesser extent, structure in these neural circuits predict treatment response in depression. Limitations of existing studies include small sample sizes, use of only one neuroimaging modality, and a focus on identifying predictors rather than moderators and mediators of differential treatment response. By addressing these limitations and, most importantly, capitalizing on the benefits of multimodal neuroimaging, future studies can yield moderators and mediators of treatment response in depression to facilitate significant improvements in shorter- and longer-term clinical and functional outcomes.
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Identifying predictors of physics item difficulty: A linear regression approach
Mesic, Vanes; Muratovic, Hasnija
2011-06-01
Large-scale assessments of student achievement in physics are often approached with an intention to discriminate students based on the attained level of their physics competencies. Therefore, for purposes of test design, it is important that items display an acceptable discriminatory behavior. To that end, it is recommended to avoid extraordinary difficult and very easy items. Knowing the factors that influence physics item difficulty makes it possible to model the item difficulty even before the first pilot study is conducted. Thus, by identifying predictors of physics item difficulty, we can improve the test-design process. Furthermore, we get additional qualitative feedback regarding the basic aspects of student cognitive achievement in physics that are directly responsible for the obtained, quantitative test results. In this study, we conducted a secondary analysis of data that came from two large-scale assessments of student physics achievement at the end of compulsory education in Bosnia and Herzegovina. Foremost, we explored the concept of “physics competence” and performed a content analysis of 123 physics items that were included within the above-mentioned assessments. Thereafter, an item database was created. Items were described by variables which reflect some basic cognitive aspects of physics competence. For each of the assessments, Rasch item difficulties were calculated in separate analyses. In order to make the item difficulties from different assessments comparable, a virtual test equating procedure had to be implemented. Finally, a regression model of physics item difficulty was created. It has been shown that 61.2% of item difficulty variance can be explained by factors which reflect the automaticity, complexity, and modality of the knowledge structure that is relevant for generating the most probable correct solution, as well as by the divergence of required thinking and interference effects between intuitive and formal physics knowledge
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Identifying predictors of physics item difficulty: A linear regression approach
Directory of Open Access Journals (Sweden)
Hasnija Muratovic
2011-06-01
Full Text Available Large-scale assessments of student achievement in physics are often approached with an intention to discriminate students based on the attained level of their physics competencies. Therefore, for purposes of test design, it is important that items display an acceptable discriminatory behavior. To that end, it is recommended to avoid extraordinary difficult and very easy items. Knowing the factors that influence physics item difficulty makes it possible to model the item difficulty even before the first pilot study is conducted. Thus, by identifying predictors of physics item difficulty, we can improve the test-design process. Furthermore, we get additional qualitative feedback regarding the basic aspects of student cognitive achievement in physics that are directly responsible for the obtained, quantitative test results. In this study, we conducted a secondary analysis of data that came from two large-scale assessments of student physics achievement at the end of compulsory education in Bosnia and Herzegovina. Foremost, we explored the concept of “physics competence” and performed a content analysis of 123 physics items that were included within the above-mentioned assessments. Thereafter, an item database was created. Items were described by variables which reflect some basic cognitive aspects of physics competence. For each of the assessments, Rasch item difficulties were calculated in separate analyses. In order to make the item difficulties from different assessments comparable, a virtual test equating procedure had to be implemented. Finally, a regression model of physics item difficulty was created. It has been shown that 61.2% of item difficulty variance can be explained by factors which reflect the automaticity, complexity, and modality of the knowledge structure that is relevant for generating the most probable correct solution, as well as by the divergence of required thinking and interference effects between intuitive and formal
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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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Wong, Ho Ting; Lin, Teng-Kang; Lin, Jen-Jia
2018-06-13
This study aims to assess rural-urban differences in the predictors of emergency ambulance service (EAS) demand and misuse in New Taipei City. Identifying the predictors of EAS demand will help the EAS service managing authority in formulating focused policies to maintain service quality. Over 160,000 electronic EAS usage records were used with a negative binomial regression model to assess rural-urban differences in the predictors of EAS demand and misuse. The factors of 1) ln-transformed population density, 2) percentage of residents who completed up to junior high school education, 3) accessibility of hospitals without an emergency room, and 4) accessibility of EAS were found to be predictors of EAS demand in rural areas, whereas only the factor of percentage of people aged above 65 was found to predict EAS demand in urban areas. For EAS misuse, only the factor of percentage of low-income households was found to be a predictor in rural areas, whereas no predictor was found in the urban areas. Results showed that the factors predicting EAS demand and misuse in rural areas were more complicated compared to urban areas and, therefore, formulating EAS policies for rural areas based on the results of urban studies may not be appropriate. Copyright © 2018. Published by Elsevier B.V.
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Sexual violence, HSV-2 and HIV are important predictors for infertility in Rwanda
Dhont, N.; van de Wijgert, J.; Luchters, S.; Muvunyi, C.; Vyankandondera, J.; Temmerman, M.
2010-01-01
In order to formulate cost-effective health interventions aimed at preventing infertility it is necessary to identify modifiable risk factors for infertility in sub-Saharan Africa. This case-control study examined potential predictors and their population attributable fraction (PAF%) for various
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Directory of Open Access Journals (Sweden)
Stefanie L De Buyser
Full Text Available BACKGROUND: The identification of older patients at risk of poor hospital outcomes (e.g. longer hospital stay, in-hospital mortality, and institutionalisation is important to provide an effective healthcare service. OBJECTIVE: To identify factors related to older patients' clinical, nutritional, functional and socio-demographic profiles at admission to an acute care ward that can predict poor hospital outcomes. DESIGN AND SETTING: The CRiteria to assess appropriate Medication use among Elderly complex patients project was a multicentre, observational study performed in geriatric and internal medicine acute care wards of seven Italian hospitals. SUBJECTS: One thousand one hundred twenty-three consecutively admitted patients aged 65 years or older. METHODS: Hospital outcomes were length of stay, in-hospital mortality, and institutionalisation. RESULTS: Mean age of participants was 81 years, 56% were women. Median length of stay was 10 (7-14 days, 41 patients died during hospital stay and 37 were newly institutionalised. Number of drugs before admission, metastasized cancer, renal failure or dialysis, infection, falls at home during the last year, pain, and walking speed were independent predictors of LoS. Total dependency in activities of daily living and inability to perform grip strength test were independent predictors of in-hospital mortality. Malnutrition and total dependency in activities of daily living were independent predictors of institutionalisation. CONCLUSIONS: Our results confirm that not only diseases, but also multifaceted aspects of ageing such as physical function and malnutrition are strong predictors of hospital outcomes and suggest that these variables should be systematically recorded.
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Predictors of perceived importance and acceptance of digital delivery modes in higher education
Directory of Open Access Journals (Sweden)
Anne Mertens
2014-04-01
Full Text Available Teaching and assessment in higher education institutions are increasingly supported by digital tools and services. Students, however, perceive and value the importance of such e-learning offerings in very diverse ways. The goal of this article is to examine which predictors significantly influence students’ perceptions of the value of digital learning formats. Based on Küpper's acceptance model, we generate hypotheses that are subsequently tested using data from a German student survey. The results show that individual-related characteristics, especially motivation and orientation patterns of students, have a high impact on the perceived importance of digital learning formats. Our analyses indicate that besides individual performance and motivation, the practical orientation of a student is also a key predictor for a high rating of the importance of digital learning formats. An analysis of characteristics regarding the field of study shows that students who major in economic sciences, especially those who frequently work with digital learning formats in their classes, find them significantly more important than students who major in social science. Regarding innovation-based characteristics, students who express a need for flexible course offerings rate the use of digital learning formats as particularly important. The discussion provides an evaluation of the results of the student study based on the hypotheses and presents further implications.
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Street, Tamara D; Lacey, Sarah J
2015-06-05
Injuries occurring in the workplace can have serious implications for the health of the individual, the productivity of the employer and the overall economic community. The objective of this paper is to increase the current state of understanding of individual demographic and psychosocial characteristics associated with extended absenteeism from the workforce due to a workplace injury. Studies included in this systematic literature review tracked participants' return to work status over a minimum of three months, identified either demographic, psychosocial or general injury predictors of poor return to work outcomes and included a heterogeneous sample of workplace injuries. Identified predictors of poor return to work outcomes included older age, female gender, divorced marital status, two or more dependent family members, lower education levels, employment variables associated with reduced labour market desirability, severity or sensitive injury locations, negative attitudes and outcome perceptions of the participant. There is a need for clear and consistent definition and measurement of return to work outcomes and a holistic theoretical model integrating injury, psychosocial and demographic predictors of return to work. Through greater understanding of the nature of factors affecting return to work, improved outcomes could be achieved.
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Brein, Daniel J; Fleenor, Thomas J; Kim, Soo-Woo; Krupat, Edward
2016-03-01
This study aims to identify predictors of performed oral hygiene behaviors (OHBs) based on the Theory of Planned Behavior (TPB), oral health knowledge, and demographic factors. Using a questionnaire, 381 participants in three general dental offices and one hospital dental department in York, Pennsylvania, were surveyed regarding performed OHB, attitudes, subjective norms, perceived behavioral control, oral health knowledge, income, age, and sex. Three unique elements of OHB were identified for analysis: brushing, interdental cleaning, and tongue cleaning. Regression analysis revealed that attitude was the strongest predictor of brushing behavior, followed by oral health knowledge, perceived behavior control, subjective norms, and income. Perceived behavior control was the strongest predictor of interdental cleaning, followed by increased age and attitude. Female sex was the strongest predictor of tongue cleaning, followed by subjective norms, decreased age, and perceived behavior control. Respectively, these three groups of predictive variables explained 22.5% of brushing behavior, 22.7% of interdental cleaning behavior, and 9.5% of tongue cleaning behavior. The present findings highlight the utility of viewing OHB as a set of unique behaviors with unique predictive variables and provide additional support for use of TPB in predicting OHB. Periodontal practitioners should consider the strong associations of attitude and perceived behavioral control with brushing and interdental cleaning behaviors when designing interventional efforts to improve patient home care.
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HERTZBERG, Tuva Kolstad; RØ, Karin Isaksson; VAGLUM, Per Jørgen Wiggen; MOUM, Torbjørn; RØVIK, Jan Ole; GUDE, Tore; EKEBERG, Øivind; TYSSEN, Reidar
2015-01-01
The importance of work-home interface stress can vary throughout a medical career and between genders. We studied changes in work-home interface stress over 5 yr, and their prediction of emotional exhaustion (main dimension of burn-out), controlled for other variables. A nationwide doctor cohort (NORDOC; n=293) completed questionnaires at 10 and 15 yr after graduation. Changes over the period were examined and predictors of emotional exhaustion analyzed using linear regression. Levels of work-home interface stress declined, whereas emotional exhaustion stayed on the same level. Lack of reduction in work-home interface stress was an independent predictor of emotional exhaustion in year 15 (β=−0.21, p=0.001). Additional independent predictors were reduction in support from colleagues (β=0.11, p=0.04) and emotional exhaustion at baseline (β=0.62, pseparate analyses, significant adjusted predictors were lack of reduction in work-home interface stress among women, and reduction of collegial support and lack of reduction in working hours among men. Thus, change in work-home interface stress is a key independent predictor of emotional exhaustion among doctors 15 yr after graduation. Some gender differences in predictors of emotional exhaustion were found. PMID:26538002
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Hertzberg, Tuva Kolstad; Rø, Karin Isaksson; Vaglum, Per Jørgen Wiggen; Moum, Torbjørn; Røvik, Jan Ole; Gude, Tore; Ekeberg, Øivind; Tyssen, Reidar
2016-01-01
The importance of work-home interface stress can vary throughout a medical career and between genders. We studied changes in work-home interface stress over 5 yr, and their prediction of emotional exhaustion (main dimension of burn-out), controlled for other variables. A nationwide doctor cohort (NORDOC; n=293) completed questionnaires at 10 and 15 yr after graduation. Changes over the period were examined and predictors of emotional exhaustion analyzed using linear regression. Levels of work-home interface stress declined, whereas emotional exhaustion stayed on the same level. Lack of reduction in work-home interface stress was an independent predictor of emotional exhaustion in year 15 (β=-0.21, p=0.001). Additional independent predictors were reduction in support from colleagues (β=0.11, p=0.04) and emotional exhaustion at baseline (β=0.62, pwork-home interface stress among women, and reduction of collegial support and lack of reduction in working hours among men. Thus, change in work-home interface stress is a key independent predictor of emotional exhaustion among doctors 15 yr after graduation. Some gender differences in predictors of emotional exhaustion were found.
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Griffin, Barbara; Loe, David; Hesketh, Beryl
2012-01-01
This study developed and tested a model to identify the predictors of retirement planning based on an extension of the theory of planned behavior ([TPB], Ajzen, 1991) that included individual differences in proactivity and time discounting. The results showed that personal attitudes, sense of control, social influence, and stable traits have a…
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Rose, Kevin C.; Winslow, Luke A.; Read, Jordan S.; Read, Emily K.; Solomon, Christopher T.; Adrian, Rita; Hanson, Paul C.
2014-01-01
Diel changes in dissolved oxygen are often used to estimate gross primary production (GPP) and ecosystem respiration (ER) in aquatic ecosystems. Despite the widespread use of this approach to understand ecosystem metabolism, we are only beginning to understand the degree and underlying causes of uncertainty for metabolism model parameter estimates. Here, we present a novel approach to improve the precision and accuracy of ecosystem metabolism estimates by identifying physical metrics that indicate when metabolism estimates are highly uncertain. Using datasets from seventeen instrumented GLEON (Global Lake Ecological Observatory Network) lakes, we discovered that many physical characteristics correlated with uncertainty, including PAR (photosynthetically active radiation, 400-700 nm), daily variance in Schmidt stability, and wind speed. Low PAR was a consistent predictor of high variance in GPP model parameters, but also corresponded with low ER model parameter variance. We identified a threshold (30% of clear sky PAR) below which GPP parameter variance increased rapidly and was significantly greater in nearly all lakes compared with variance on days with PAR levels above this threshold. The relationship between daily variance in Schmidt stability and GPP model parameter variance depended on trophic status, whereas daily variance in Schmidt stability was consistently positively related to ER model parameter variance. Wind speeds in the range of ~0.8-3 m s–1 were consistent predictors of high variance for both GPP and ER model parameters, with greater uncertainty in eutrophic lakes. Our findings can be used to reduce ecosystem metabolism model parameter uncertainty and identify potential sources of that uncertainty.
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Predictors of Ramadan fasting during pregnancy
van Bilsen, Lily A.; Savitri, Ary I.; Amelia, Dwirani; Baharuddin, Mohammad; Grobbee, Diederick E.; Uiterwaal, Cuno S P M
2016-01-01
Although the health effects of Ramadan fasting during pregnancy are still unclear, it is important to identify the predictors and motivational factors involved in women's decision to observe the fast. We investigated these factors in a cross sectional study of 187 pregnant Muslim women who attended
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Identifying Importance-Performance Matrix Analysis (IPMA) of ...
African Journals Online (AJOL)
Identifying Importance-Performance Matrix Analysis (IPMA) of intellectual capital and Islamic work ethics in Malaysian SMES. ... capital and Islamic work ethics significantly influenced business performance. ... AJOL African Journals Online.
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Alonso-Coello, Pablo; Cook, Deborah; Xu, Shou Chun; Sigamani, Alben; Berwanger, Otavio; Sivakumaran, Soori; Yang, Homer; Xavier, Denis; Martinez, Luz Ximena; Ibarra, Pedro; Rao-Melacini, Purnima; Pogue, Janice; Zarnke, Kelly; Paniagua, Pilar; Ostrander, Jack; Yusuf, Salim; Devereaux, P J
2017-07-01
Despite the frequency of new clinically important atrial fibrillation (AF) after noncardiac surgery and its increased association with the risk of stroke at 30 days, there are limited data informing their prediction, association with outcomes, and management. We used the data from the PeriOperative ISchemic Evaluation trial to determine, in patients undergoing noncardiac surgery, the association of new clinically important AF with 30-day outcomes, and to assess management of these patients. We also aimed to derive a clinical prediction rule for new clinically important AF in this population. We defined new clinically important AF as new AF that resulted in symptoms or required treatment. We recorded an electrocardiogram 6 to 12 hours postoperatively and on the 1st, 2nd, and 30th days after surgery. A total of 211 (2.5% [8351 patients]; 95% confidence interval, 2.2%-2.9%) patients developed new clinically important AF within 30 days of randomization (8140 did not develop new AF). AF was independently associated with an increased length of hospital stay by 6.0 days (95% confidence interval, 3.5-8.5 days) and vascular complications (eg, stroke or congestive heart failure). The usage of an oral anticoagulant at the time of hospital discharge among patients with new AF and a CHADS2 score of 0, 1, 2, 3, and ≥4 was 6.9%, 10.2%, 23.0%, 9.4%, and 33.3%, respectively. Two independent predictors of patients developing new clinically important AF were identified (ie, age and surgery). The prediction rule included the following factors and assigned weights: age ≥85 years (4 points), age 75 to 84 years (3 points), age 65 to 74 years (2 points), intrathoracic surgery (3 points), major vascular surgery (2 points), and intra-abdominal surgery (1 point). The incidence of new AF based on scores of 0 to 1, 2, 3 to 4, and 5 to 6 was 0.5%, 1.0%, 3.1%, and 5.3%, respectively. Age and surgery are independent predictors of new clinically important AF in the perioperative setting. A
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Ünlü, Hüseyin
2017-01-01
Today, in the digital age, the Internet usage is common among university students. The Internet is also an important platform for actively participating in democracy. This study explores physical education (PE) candidate teachers' attitudes toward the Internet and democracy. It also explores whether the Internet is an important predictor for…
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Suicidal Ideation in Anxiety-Disordered Youth: Identifying Predictors of Risk
O'Neil Rodriguez, Kelly A.; Kendall, Philip C.
2014-01-01
Objective Evidence is mixed regarding an independent association between anxiety and suicidality. Beyond associations with demographic factors and depression, do anxiety disorders increase risk for suicidality in youth? Given that not all anxiety-disordered youth experience suicidal ideation, potential predictors of risk also require investigation. Method The present study examined (a) the independent relationship between anxiety and suicidal ideation and (b) emotion dysregulation and distress intolerance as predictors of risk for suicidal ideation in a sample of anxiety-disordered youth aged 7-17 (N = 86, M = 11.5). Youth and their parents reported on suicidality, emotion dysregulation, and distress intolerance. Distress tolerance was also measured by a computerized behavioral task. Results Results support an independent relationship between anxiety symptomatology and youth-reported suicidal ideation, controlling for depressive symptoms. Youth self-report of emotion dysregulation and distress intolerance predicted higher levels of suicidal ideation in univariate analyses. In a multivariate analysis including all significant predictors, only anxiety symptomatology uniquely predicted suicidal ideation. Conclusions Results provide recommendations for the assessment and treatment of suicidality in anxiety-disordered youth. Suggestions for future research investigating the relationship between anxiety and suicidal ideation are offered. PMID:24156368
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Lorenzo-Seva, Urbano; Ferrando, Pere J
2011-03-01
We provide an SPSS program that implements currently recommended techniques and recent developments for selecting variables in multiple linear regression analysis via the relative importance of predictors. The approach consists of: (1) optimally splitting the data for cross-validation, (2) selecting the final set of predictors to be retained in the equation regression, and (3) assessing the behavior of the chosen model using standard indices and procedures. The SPSS syntax, a short manual, and data files related to this article are available as supplemental materials from brm.psychonomic-journals.org/content/supplemental.
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Directory of Open Access Journals (Sweden)
Holly E. Jacobson
2016-03-01
Full Text Available In the United States, data confirm that Spanish-speaking immigrants are particularly affected by the negative health outcomes associated with low health literacy. Although the literature points to variables such as age, educational background and language, only a few studies have investigated the factors that may influence health literacy in this group. Similarly, the role that bilingualism and/or multilingualism play in health literacy assessment continues to be an issue in need of further research. The purpose of this study was to examine the predictors of English health literacy among adult Hispanic immigrants whose self-reported primary language is Spanish, but who live and function in a bilingual community. It also explored issues related to the language of the instrument. An analysis of data collected through a randomized controlled study was conducted. Results identified English proficiency as the strongest predictor of health literacy (p < 0.001. The results further point to the importance of primary and secondary language in the assessment of heath literacy level. This study raises many questions in need of further investigation to clarify how language proficiency and sociolinguistic environment affect health literacy in language minority adults; proposes language approaches that may be more appropriate for measuring health literacy in these populations; and recommends further place-based research to determine whether the connection between language proficiency and health is generalizable to border communities.
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Energy Technology Data Exchange (ETDEWEB)
Jones, Christopher R., E-mail: c.r.jones@shef.ac.uk [Department of Psychology, University of Sheffield, Western Bank, Sheffield, S10 2TP (United Kingdom); Orr, Barry J.; Eiser, J. Richard [Department of Psychology, University of Sheffield, Western Bank, Sheffield, S10 2TP (United Kingdom)
2011-08-15
The level of 'wind-prospecting' presently occurring in the UK is increasing the likelihood that new wind-power developments will conflict with other existing and/or proposed schemes. This study reports multiple-regression analyses performed on survey data obtained in a region of the UK (i.e. Humberhead Levels, near Doncaster) simultaneously subject to nine wind-farm proposals (September 2008). The aim of the analysis was to identify which survey-items were predictors of respondents' estimates of the number of wind turbines they believed the region could reasonably support (i.e. capacity estimates). The results revealed that the majority of respondents would endorse some local development; however, there was substantial variability in the upper level that was considered acceptable. Prominent predictors included general attitude, perceived knowledge of wind power, community attachment, environmental values, visual attractiveness of wind turbines, and issues relating to perceived fairness and equity. The results have implications for Cumulative Effects Assessment (CEA) - and in particular the assessment of Cumulative Landscape and Visual Impacts (CLVI) - and support calls for greater community involvement in decisions regarding proposed schemes. - Highlights: > Research seeks to identify predictors of the scale of local wind development people will tolerate. > Research conducted in region of the UK subject to nine wind-farm applications (2008). > Predictors found to include issues of perceived fairness and equity. > Results hold implications for cumulative effects assessment and development practices.
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International Nuclear Information System (INIS)
Jones, Christopher R.; Orr, Barry J.; Eiser, J. Richard
2011-01-01
The level of 'wind-prospecting' presently occurring in the UK is increasing the likelihood that new wind-power developments will conflict with other existing and/or proposed schemes. This study reports multiple-regression analyses performed on survey data obtained in a region of the UK (i.e. Humberhead Levels, near Doncaster) simultaneously subject to nine wind-farm proposals (September 2008). The aim of the analysis was to identify which survey-items were predictors of respondents' estimates of the number of wind turbines they believed the region could reasonably support (i.e. capacity estimates). The results revealed that the majority of respondents would endorse some local development; however, there was substantial variability in the upper level that was considered acceptable. Prominent predictors included general attitude, perceived knowledge of wind power, community attachment, environmental values, visual attractiveness of wind turbines, and issues relating to perceived fairness and equity. The results have implications for Cumulative Effects Assessment (CEA) - and in particular the assessment of Cumulative Landscape and Visual Impacts (CLVI) - and support calls for greater community involvement in decisions regarding proposed schemes. - Highlights: → Research seeks to identify predictors of the scale of local wind development people will tolerate. → Research conducted in region of the UK subject to nine wind-farm applications (2008). → Predictors found to include issues of perceived fairness and equity. → Results hold implications for cumulative effects assessment and development practices.
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Crowdsourcing novel childhood predictors of adult obesity.
Bevelander, Kirsten E; Kaipainen, Kirsikka; Swain, Robert; Dohle, Simone; Bongard, Josh C; Hines, Paul D H; Wansink, Brian
2014-01-01
Effective and simple screening tools are needed to detect behaviors that are established early in life and have a significant influence on weight gain later in life. Crowdsourcing could be a novel and potentially useful tool to assess childhood predictors of adult obesity. This exploratory study examined whether crowdsourcing could generate well-documented predictors in obesity research and, moreover, whether new directions for future research could be uncovered. Participants were recruited through social media to a question-generation website, on which they answered questions and were able to pose new questions that they thought could predict obesity. During the two weeks of data collection, 532 participants (62% female; age = 26.5±6.7; BMI = 29.0±7.0) registered on the website and suggested a total of 56 unique questions. Nineteen of these questions correlated with body mass index (BMI) and covered several themes identified by prior research, such as parenting styles and healthy lifestyle. More importantly, participants were able to identify potential determinants that were related to a lower BMI, but have not been the subject of extensive research, such as parents packing their children's lunch to school or talking to them about nutrition. The findings indicate that crowdsourcing can reproduce already existing hypotheses and also generate ideas that are less well documented. The crowdsourced predictors discovered in this study emphasize the importance of family interventions to fight obesity. The questions generated by participants also suggest new ways to express known predictors.
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Crowdsourcing novel childhood predictors of adult obesity.
Directory of Open Access Journals (Sweden)
Kirsten E Bevelander
Full Text Available Effective and simple screening tools are needed to detect behaviors that are established early in life and have a significant influence on weight gain later in life. Crowdsourcing could be a novel and potentially useful tool to assess childhood predictors of adult obesity. This exploratory study examined whether crowdsourcing could generate well-documented predictors in obesity research and, moreover, whether new directions for future research could be uncovered. Participants were recruited through social media to a question-generation website, on which they answered questions and were able to pose new questions that they thought could predict obesity. During the two weeks of data collection, 532 participants (62% female; age = 26.5±6.7; BMI = 29.0±7.0 registered on the website and suggested a total of 56 unique questions. Nineteen of these questions correlated with body mass index (BMI and covered several themes identified by prior research, such as parenting styles and healthy lifestyle. More importantly, participants were able to identify potential determinants that were related to a lower BMI, but have not been the subject of extensive research, such as parents packing their children's lunch to school or talking to them about nutrition. The findings indicate that crowdsourcing can reproduce already existing hypotheses and also generate ideas that are less well documented. The crowdsourced predictors discovered in this study emphasize the importance of family interventions to fight obesity. The questions generated by participants also suggest new ways to express known predictors.
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One-leg balance is an important predictor of injurious falls in older persons.
Vellas, B J; Wayne, S J; Romero, L; Baumgartner, R N; Rubenstein, L Z; Garry, P J
1997-06-01
To test the hypothesis that one-leg balance is a significant predictor of falls and injurious falls. Analysis of data from a longitudinal cohort study. Healthy, community-living volunteers older than age 60 enrolled in the Albuquerque Falls Study and followed for 3 years (N = 316; mean age 73 years). Falls and injurious falls detected via reports every other month. Baseline measures of demographics, history, physical examination, Iowa Self Assessment Inventory, balance and gait assessment, and one-leg balance (ability to stand unassisted for 5 seconds on one leg). At baseline, 84.5% of subjects could perform one-leg balance. (Impairment was associated with older age and gait abnormalities.) Over the 3-year follow-up, 71% experienced a fall and 22% an injurious fall. The only independent significant predictor of all falls using logistic regression was age greater than 73. However, impaired one-leg balance was the only significant independent predictor of injurious falls (relative risk: 2.13; 95% CI: 1.04, 4.34; P = .03). One-leg balance appears to be a significant and easy-to-administer predictor of injurious falls, but not of all falls. In our study, it was the strongest individual predictor. However, no single factor seems to be accurate enough to be relied on as a sole predictor of fall risk or fall injury risk because so many diverse factors are involved in falling.
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Henneghan, Ashley M; Palesh, Oxana; Harrison, Michelle; Kesler, Shelli R
2018-07-15
The purpose of this study is to explore 13 cytokine predictors of chemotherapy-related cognitive impairment (CRCI) in breast cancer survivors (BCS) 6 months to 10 years after chemotherapy completion using a multivariate, non-parametric approach. Cross sectional data collection included completion of a survey, cognitive testing, and non-fasting blood from 66 participants. Data were analyzed using random forest regression to identify the most significant predictors for each of the cognitive test scores. A different cytokine profile predicted each cognitive test. Adjusted R 2 for each model ranged from 0.71-0.77 (p's < 9.50 -10 ). The relationships between all the cytokine predictors and cognitive test scores were non-linear. Our findings are unique to the field of CRCI and suggest non-linear cytokine specificity to neural networks underlying cognitive functions assessed in this study. Copyright © 2018 Elsevier B.V. All rights reserved.
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Predictors of Racial Prejudice in White American Counseling Students
Castillo, Linda G.; Conoley, Collie W.; King, Jennifer; Rollins, Dahl; Rivera, Saori; Veve, Mia
2006-01-01
This study extends the research on racial prejudice by combining previously identified predictors into 1 study to determine their relative importance in contributing to racial prejudice. Results revealed that White racial identity significantly predicted racial prejudice when demographic variables were controlled. Implications of reducing racial…
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Ottley, Jennifer Riggie; Ferron, John M.; Hanline, Mary Frances
2016-01-01
The purpose of this study was to explain the variability in data collected from a single-case design study and to identify predictors of communicative outcomes for children with developmental delays or disabilities (n = 4). Using SAS® University Edition, we fit multilevel models with time nested within children. Children's level of baseline…
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Vargas Bustamante, Arturo; Chen, Jie; Fang, Hai; Rizzo, John A; Ortega, Alexander N
2014-01-01
This study identifies differences in health insurance predictors and investigates the main reported reasons for lacking health insurance coverage between short-stayed (≤ 10 years) and long-stayed (>10 years) US immigrant adults to parse the possible consequences of the Affordable Care Act among immigrants by length of stay and documentation status. Foreign-born adults (18-64 years of age) from the 2009 California Health Interview Survey are the study population. Health insurance coverage predictors and the main reasons for being uninsured are compared across cohorts and by documentation status. A logistic-regression two-part multivariate model is used to adjust for confounding factors. The analyses determine that legal status is a strong health insurance predictor, particularly among long-stayed undocumented immigrants. Immigration status is the main reported reason for lacking health insurance. Although long-stayed documented immigrants are likely to benefit from the Affordable Care Act implementation, undocumented immigrants and short-stayed documented immigrants may encounter difficulties getting health insurance coverage. Copyright © 2013 John Wiley & Sons, Ltd.
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Predictors of nurse manager stress: a dominance analysis of potential work environment stressors.
Kath, Lisa M; Stichler, Jaynelle F; Ehrhart, Mark G; Sievers, Andree
2013-11-01
Nurse managers have important but stressful jobs. Clinical or bedside nurse predictors of stress have been studied more frequently, but less has been done on work environment predictors for those in this first-line leadership role. Understanding the relative importance of those work environment predictors could be used to help identify the most fruitful areas for intervention, potentially improving recruitment and retention for nurse managers. Using Role Stress Theory and the Job Demands-Resources Theory, a model was tested examining the relative importance of five potential predictors of nurse manager stress (i.e., stressors). The work environment stressors included role ambiguity, role overload, role conflict, organizational constraints, and interpersonal conflict. A quantitative, cross-sectional survey study was conducted with a convenience sample of 36 hospitals in the Southwestern United States. All nurse managers working in these 36 hospitals were invited to participate. Of the 636 nurse managers invited, 480 responded, for a response rate of 75.5%. Questionnaires were distributed during nursing leadership meetings and were returned in person (in sealed envelopes) or by mail. Because work environment stressors were correlated, dominance analysis was conducted to examine which stressors were the most important predictors of nurse manager stress. Role overload was the most important predictor of stress, with an average of 13% increase in variance explained. The second- and third-most important predictors were organizational constraints and role conflict, with an average of 7% and 6% increase in variance explained, respectively. Because other research has shown deleterious effects of nurse manager stress, organizational leaders are encouraged to help nurse managers reduce their actual and/or perceived role overload and organizational constraints. Copyright © 2013 Elsevier Ltd. All rights reserved.
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Meta-Analyses of Predictors of Hope in Adolescents.
Yarcheski, Adela; Mahon, Noreen E
2016-03-01
The purposes of this study were to identify predictors of hope in the literature reviewed, to use meta-analysis to determine the mean effect size (ES) across studies between each predictor and hope, and to examine four moderators on each predictor-hope relationship. Using preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines for the literature reviewed, 77 published studies or doctoral dissertations completed between 1990 and 2012 met the inclusion criteria. Eleven predictors of hope were identified and each predictor in relation to hope was subjected to meta-analysis. Five predictors (positive affect, life satisfaction, optimism, self-esteem, and social support) of hope had large mean ESs, 1 predictor (depression) had a medium ES, 4 predictors (negative affect, stress, academic achievement, and violence) had small ESs, and 1 predictor (gender) had a trivial ES. Findings are interpreted for the 11 predictors in relation to hope. Limitations and conclusions are addressed; future studies are recommended. © The Author(s) 2014.
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Identifying the important factors in simulation models with many factors
Bettonvil, B.; Kleijnen, J.P.C.
1994-01-01
Simulation models may have many parameters and input variables (together called factors), while only a few factors are really important (parsimony principle). For such models this paper presents an effective and efficient screening technique to identify and estimate those important factors. The
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Measures for Predictors of Innovation Adoption
Chor, Ka Ho Brian; Wisdom, Jennifer P.; Olin, Su-Chin Serene; Hoagwood, Kimberly E.; Horwitz, Sarah M.
2014-01-01
Building on a narrative synthesis of adoption theories by Wisdom et al. (2013), this review identifies 118 measures associated with the 27 adoption predictors in the synthesis. The distribution of measures is uneven across the predictors and predictors vary in modifiability. Multiple dimensions and definitions of predictors further complicate measurement efforts. For state policymakers and researchers, more effective and integrated measurement can advance the adoption of complex innovations such as evidence-based practices. PMID:24740175
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Warren, Jacob C; Fernández, M Isabel; Harper, Gary W; Hidalgo, Marco A; Jamil, Omar B; Torres, Rodrigo Sebastián
2008-05-01
Despite the recognized need for culturally tailored HIV prevention interventions for gay, bisexual, and questioning youth, few studies have examined if predictors of unprotected sex vary for youth from different ethnic groups. This study reports on a sample of 189 gay, bisexual, and questioning youth (age 15-22) from three racial/ethnic backgrounds (African American, Hispanic, and White) recruited in Chicago, IL and Miami-Dade and Broward Counties, Florida. For African American youth, being in a long-term relationship, having been kicked out of the home for having sex with men, and younger age at initiation of sexual behavior were associated with unprotected sex. For Hispanic youth, higher ethnic identification and older age at initiation of sexual behavior were associated with unprotected sex. For White youth, no predictors were associated with unprotected sex. Our findings point to the importance of understanding the varying predictors of unprotected sex and integrating them into tailored prevention interventions.
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de Albuquerque Seixas, Emerson; Carmello, Beatriz Leone; Kojima, Christiane Akemi; Contti, Mariana Moraes; Modeli de Andrade, Luiz Gustavo; Maiello, José Roberto; Almeida, Fernando Antonio; Martin, Luis Cuadrado
2015-05-01
Cardiovascular diseases are major causes of mortality in chronic renal failure patients before and after renal transplantation. Among them, coronary disease presents a particular risk; however, risk predictors have been used to diagnose coronary heart disease. This study evaluated the frequency and importance of clinical predictors of coronary artery disease in chronic renal failure patients undergoing dialysis who were renal transplant candidates, and assessed a previously developed scoring system. Coronary angiographies conducted between March 2008 and April 2013 from 99 candidates for renal transplantation from two transplant centers in São Paulo state were analyzed for associations between significant coronary artery diseases (≥70% stenosis in one or more epicardial coronary arteries or ≥50% in the left main coronary artery) and clinical parameters. Univariate logistic regression analysis identified diabetes, angina, and/or previous infarction, clinical peripheral arterial disease and dyslipidemia as predictors of coronary artery disease. Multiple logistic regression analysis identified only diabetes and angina and/or previous infarction as independent predictors. The results corroborate previous studies demonstrating the importance of these factors when selecting patients for coronary angiography in clinical pretransplant evaluation.
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Directory of Open Access Journals (Sweden)
Xuan Xiao
Full Text Available Nuclear receptors (NRs form a family of ligand-activated transcription factors that regulate a wide variety of biological processes, such as homeostasis, reproduction, development, and metabolism. Human genome contains 48 genes encoding NRs. These receptors have become one of the most important targets for therapeutic drug development. According to their different action mechanisms or functions, NRs have been classified into seven subfamilies. With the avalanche of protein sequences generated in the postgenomic age, we are facing the following challenging problems. Given an uncharacterized protein sequence, how can we identify whether it is a nuclear receptor? If it is, what subfamily it belongs to? To address these problems, we developed a predictor called iNR-PhysChem in which the protein samples were expressed by a novel mode of pseudo amino acid composition (PseAAC whose components were derived from a physical-chemical matrix via a series of auto-covariance and cross-covariance transformations. It was observed that the overall success rate achieved by iNR-PhysChem was over 98% in identifying NRs or non-NRs, and over 92% in identifying NRs among the following seven subfamilies: NR1--thyroid hormone like, NR2--HNF4-like, NR3--estrogen like, NR4--nerve growth factor IB-like, NR5--fushi tarazu-F1 like, NR6--germ cell nuclear factor like, and NR0--knirps like. These rates were derived by the jackknife tests on a stringent benchmark dataset in which none of protein sequences included has ≥60% pairwise sequence identity to any other in a same subset. As a user-friendly web-server, iNR-PhysChem is freely accessible to the public at either http://www.jci-bioinfo.cn/iNR-PhysChem or http://icpr.jci.edu.cn/bioinfo/iNR-PhysChem. Also a step-by-step guide is provided on how to use the web-server to get the desired results without the need to follow the complicated mathematics involved in developing the predictor. It is anticipated that iNR-PhysChem may
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Discrimination, acculturation and other predictors of depression among pregnant Hispanic women.
Walker, Janiece L; Ruiz, R Jeanne; Chinn, Juanita J; Marti, Nathan; Ricks, Tiffany N
2012-01-01
The purpose of our study was to examine the effects of socioeconomic status, acculturative stress, discrimination, and marginalization as predictors of depression in pregnant Hispanic women. A prospective observational design was used. Central and Gulf coast areas of Texas in obstetrical offices. A convenience sample of 515 pregnant, low income, low medical risk, and self-identified Hispanic women who were between 22-24 weeks gestation was used to collect data. The predictor variables were socioeconomic status, discrimination, acculturative stress, and marginalization. The outcome variable was depression. Education, frequency of discrimination, age, and Anglo marginality were significant predictors of depressive symptoms in a linear regression model, F (6, 458) = 8.36, Pdiscrimination was the strongest positive predictor of increased depressive symptoms. It is important that health care providers further understand the impact that age and experiences of discrimination throughout the life course have on depressive symptoms during pregnancy.
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Fragoso, Zachary L; Holcombe, Kyla J; McCluney, Courtney L; Fisher, Gwenith G; McGonagle, Alyssa K; Friebe, Susan J
2016-06-09
This study's purpose was twofold: first, to examine the relative importance of job demands and resources as predictors of burnout and engagement, and second, the relative importance of engagement and burnout related to health, depressive symptoms, work ability, organizational commitment, and turnover intentions in two samples of health care workers. Nurse leaders (n = 162) and licensed emergency medical technicians (EMTs; n = 102) completed surveys. In both samples, job demands predicted burnout more strongly than job resources, and job resources predicted engagement more strongly than job demands. Engagement held more weight than burnout for predicting commitment, and burnout held more weight for predicting health outcomes, depressive symptoms, and work ability. Results have implications for the design, evaluation, and effectiveness of workplace interventions to reduce burnout and improve engagement among health care workers. Actionable recommendations for increasing engagement and decreasing burnout in health care organizations are provided. © 2016 The Author(s).
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Directory of Open Access Journals (Sweden)
Eisenhaber Frank
2010-02-01
Full Text Available Abstract Background Algorithms designed to predict protein disorder play an important role in structural and functional genomics, as disordered regions have been reported to participate in important cellular processes. Consequently, several methods with different underlying principles for disorder prediction have been independently developed by various groups. For assessing their usability in automated workflows, we are interested in identifying parameter settings and threshold selections, under which the performance of these predictors becomes directly comparable. Results First, we derived a new benchmark set that accounts for different flavours of disorder complemented with a similar amount of order annotation derived for the same protein set. We show that, using the recommended default parameters, the programs tested are producing a wide range of predictions at different levels of specificity and sensitivity. We identify settings, in which the different predictors have the same false positive rate. We assess conditions when sets of predictors can be run together to derive consensus or complementary predictions. This is useful in the framework of proteome-wide applications where high specificity is required such as in our in-house sequence analysis pipeline and the ANNIE webserver. Conclusions This work identifies parameter settings and thresholds for a selection of disorder predictors to produce comparable results at a desired level of specificity over a newly derived benchmark dataset that accounts equally for ordered and disordered regions of different lengths.
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Predictors of insubordinate aggression among captive female rhesus macaques.
Seil, Shannon K; Hannibal, Darcy L; Beisner, Brianne A; McCowan, Brenda
2017-11-01
Cercopithicine primates tend to have nepotistic hierarchies characterized by predictable, kinship-based dominance. Although aggression is typically directed down the hierarchy, insubordinate aggression does occur. Insubordination is important to understand because it can precipitate social upheaval and undermine group stability; however, the factors underlying it are not well understood. We test whether key social and demographic variables predict insubordination among captive female rhesus macaques. To identify factors influencing insubordination, multivariate analyses of 10,821 dyadic conflicts among rhesus macaque females were conducted, using data from six captive groups. A segmented regression analysis was used to identify dyads with insubordination. Negative binomial regression analyses and an information theoretic approach were used to assess predictors of insubordination among dyads. In the best models, weight difference (w = 1.0; IRR = 0.930), age (dominant: w = 1.0, IRR = 0.681; subordinate: w = 1.0, IRR = 1.069), the subordinate's total number of allies (w = 0.727, IRR = 1.060) or non-kin allies (w = 0.273, IRR = 1.165), the interaction of the dominant's kin allies and weight difference (w = 0.938, IRR = 1.046), violation of youngest ascendancy (w = 1.0; IRR = 2.727), and the subordinate's maternal support (w = 1.0; IRR = 2.928), are important predictors of insubordination. These results show that both intrinsic and social factors influence insubordinate behavior. This adds to evidence of the importance of intrinsic factors and flexibility in a social structure thought to be rigid and predetermined by external factors. Further, because insubordination can precipitate social overthrow, determining predictors of insubordination will shed light on mechanisms underlying stability in nepotistic societies. © 2017 Wiley Periodicals, Inc.
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Murphy, Caitlin C; Vernon, Sally W; Haddock, Nicole M; Anderson, Melissa L; Chubak, Jessica; Green, Beverly B
2014-09-01
Few studies use longitudinal data to identify predictors of colorectal cancer screening (CRCS). We examined predictors of (1) initial CRCS during the first year of a randomized trial, and (2) repeat CRCS during the second year of the trial among those that completed FOBT in Year 1. The sample comprised 1247 participants of the Systems of Support to Increase Colorectal Cancer Screening (SOS) Trial (Group Health Cooperative, August 2008 to November 2011). Potential predictors of CRCS were identified with logistic regression and included sociodemographics, health history, and validated scales of psychosocial constructs. Prior CRCS (OR 2.64, 95% CI 1.99-3.52) and intervention group (Automated: OR 2.06 95% CI 1.43-2.95; Assisted: OR 4.03, 95% CI 2.69-6.03; Navigated: OR 5.64, 95% CI 3.74-8.49) were predictors of CRCS completion at Year 1. For repeat CRCS at Year 2, prior CRCS at baseline (OR 1.97, 95% CI 1.25-3.11), intervention group (Automated: OR 9.27, 95% CI 4.56-18.82; Assisted: OR 11.17, 95% CI 5.44-22.94; Navigated: OR 13.10, 95% CI 6.33-27.08), and self-efficacy (OR 1.32, 95% CI 1.00-1.73) were significant predictors. Self-efficacy and prior CRCS are important predictors of future screening behavior. CRCS completion increased when access barriers were removed through interventions. Copyright © 2014 Elsevier Inc. All rights reserved.
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HIV and other predictors of serum folate, serum ferritin, and hemoglobin in pregnancy
DEFF Research Database (Denmark)
Friis, Henrik; Gomo, E; Kæstel, Pernille
2001-01-01
BACKGROUND: Folate and iron status and hemoglobin concentrations are important to maternal and infant health. OBJECTIVE: Our goal was to identify predictors of serum folate, serum ferritin, and hemoglobin. DESIGN: This was a cross-sectional study of 1669 pregnant women (22-35 wk of gestation) in ...
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Eslami, E.; Choi, Y.; Roy, A.
2017-12-01
Air quality forecasting carried out by chemical transport models often show significant error. This study uses a deep-learning approach over the Houston-Galveston-Brazoria (HGB) area to overcome this forecasting challenge, for the DISCOVER-AQ period (September 2013). Two approaches, deep neural network (DNN) using a Multi-Layer Perceptron (MLP) and Restricted Boltzmann Machine (RBM) were utilized. The proposed approaches analyzed input data by identifying features abstracted from its previous layer using a stepwise method. The approaches predicted hourly ozone and PM in September 2013 using several predictors of prior three days, including wind fields, temperature, relative humidity, cloud fraction, precipitation along with PM, ozone, and NOx concentrations. Model-measurement comparisons for available monitoring sites reported Indexes of Agreement (IOA) of around 0.95 for both DNN and RBM. A standard artificial neural network (ANN) (IOA=0.90) with similar architecture showed poorer performance than the deep networks, clearly demonstrating the superiority of the deep approaches. Additionally, each network (both deep and standard) performed significantly better than a previous CMAQ study, which showed an IOA of less than 0.80. The most influential input variables were identified using their associated weights, which represented the sensitivity of ozone to input parameters. The results indicate deep learning approaches can achieve more accurate ozone forecasting and identify the important input variables for ozone predictions in metropolitan areas.
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Predictors of physical activity change among adults using observational designs.
Rhodes, Ryan E; Quinlan, Alison
2015-03-01
Regular physical activity (PA) is foundational to human health, yet most people are inactive. A sound understanding of the determinants of PA may be instructive for building interventions and/or identifying critical target groups to promote PA. Most research on PA correlates has been biased by cross-sectional or passive prospective designs that fail to examine within-person analysis of PA change. The purpose of this review was to collect and appraise the available literature on the predictors of PA change conceived broadly in terms of increases/decreases from baseline assessment as well as specifically in terms of adoption and maintenance. Eligible studies were from English, peer-reviewed published articles that examined predictors of natural change of PA over 3 months + using observational (non-experimental) data in adult samples. Searches were performed from June 2012 to January 2014 in eight databases. Sixty-seven independent data-sets, from 12 countries, primarily of medium quality/risk of bias, were identified with 26 correlates spanning demographic, behavioral, intra-individual, inter-individual, and environmental categories. Only intention and the onset of motherhood could reliably predict overall PA change. Among datasets configured to predict PA adoption, affective judgments and behavioral processes of change were the only reliable predictors, although both only have a small number of available studies. There were no reliable predictors of maintenance when compared to PA relapse. The results underscore the importance of individual-level motivation and behavioral regulation in PA change, but also denote critical social variables. These findings, however, are constrained by PA measurement bias and limited studies that employed time-varying covariation between predictor variables and PA.
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Hund, Lauren; Soto Mas, Francisco
2016-01-01
In the United States, data confirm that Spanish-speaking immigrants are particularly affected by the negative health outcomes associated with low health literacy. Although the literature points to variables such as age, educational background and language, only a few studies have investigated the factors that may influence health literacy in this group. Similarly, the role that bilingualism and/or multilingualism play in health literacy assessment continues to be an issue in need of further research. The purpose of this study was to examine the predictors of English health literacy among adult Hispanic immigrants whose self-reported primary language is Spanish, but who live and function in a bilingual community. It also explored issues related to the language of the instrument. An analysis of data collected through a randomized controlled study was conducted. Results identified English proficiency as the strongest predictor of health literacy (p sociolinguistic environment affect health literacy in language minority adults; proposes language approaches that may be more appropriate for measuring health literacy in these populations; and recommends further place-based research to determine whether the connection between language proficiency and health is generalizable to border communities. PMID:27127416
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Jacobson, Holly E; Hund, Lauren; Soto Mas, Francisco
In the United States, data confirm that Spanish-speaking immigrants are particularly affected by the negative health outcomes associated with low health literacy. Although the literature points to variables such as age, educational background and language, only a few studies have investigated the factors that may influence health literacy in this group. Similarly, the role that bilingualism and/or multilingualism play in health literacy assessment continues to be an issue in need of further research. The purpose of this study was to examine the predictors of English health literacy among adult Hispanic immigrants whose self-reported primary language is Spanish, but who live and function in a bilingual community. It also explored issues related to the language of the instrument. An analysis of data collected through a randomized controlled study was conducted. Results identified English proficiency as the strongest predictor of health literacy (p sociolinguistic environment affect health literacy in language minority adults; proposes language approaches that may be more appropriate for measuring health literacy in these populations; and recommends further place-based research to determine whether the connection between language proficiency and health is generalizable to border communities.
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Identifying important nodes by adaptive LeaderRank
Xu, Shuang; Wang, Pei
2017-03-01
Spreading process is a common phenomenon in complex networks. Identifying important nodes in complex networks is of great significance in real-world applications. Based on the spreading process on networks, a lot of measures have been proposed to evaluate the importance of nodes. However, most of the existing measures are appropriate to static networks, which are fragile to topological perturbations. Many real-world complex networks are dynamic rather than static, meaning that the nodes and edges of such networks may change with time, which challenge numerous existing centrality measures. Based on a new weighted mechanism and the newly proposed H-index and LeaderRank (LR), this paper introduces a variant of the LR measure, called adaptive LeaderRank (ALR), which is a new member of the LR-family. Simulations on six real-world networks reveal that the new measure can well balance between prediction accuracy and robustness. More interestingly, the new measure can better adapt to the adjustment or local perturbations of network topologies, as compared with the existing measures. By discussing the detailed properties of the measures from the LR-family, we illustrate that the ALR has its competitive advantages over the other measures. The proposed algorithm enriches the measures to understand complex networks, and may have potential applications in social networks and biological systems.
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Predictors of Transience among Homeless Emerging Adults
Ferguson, Kristin M.; Bender, Kimberly; Thompson, Sanna J.
2014-01-01
This study identified predictors of transience among homeless emerging adults in three cities. A total of 601 homeless emerging adults from Los Angeles, Austin, and Denver were recruited using purposive sampling. Ordinary least squares regression results revealed that significant predictors of greater transience include White ethnicity, high…
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Thiers, Laurie; Louzao, Maite; Ridoux, Vincent; Le Corre, Matthieu; Jaquemet, Sébastien; Weimerskirch, Henri
2014-01-01
In tropical waters resources are usually scarce and patchy, and predatory species generally show specific adaptations for foraging. Tropical seabirds often forage in association with sub-surface predators that create feeding opportunities by bringing prey close to the surface, and the birds often aggregate in large multispecific flocks. Here we hypothesize that frigatebirds, a tropical seabird adapted to foraging with low energetic costs, could be a good predictor of the distribution of their associated predatory species, including other seabirds (e.g. boobies, terns) and subsurface predators (e.g., dolphins, tunas). To test this hypothesis, we compared distribution patterns of marine predators in the Mozambique Channel based on a long-term dataset of both vessel- and aerial surveys, as well as tracking data of frigatebirds. By developing species distribution models (SDMs), we identified key marine areas for tropical predators in relation to contemporaneous oceanographic features to investigate multi-species spatial overlap areas and identify predator hotspots in the Mozambique Channel. SDMs reasonably matched observed patterns and both static (e.g. bathymetry) and dynamic (e.g. Chlorophyll a concentration and sea surface temperature) factors were important explaining predator distribution patterns. We found that the distribution of frigatebirds included the distributions of the associated species. The central part of the channel appeared to be the best habitat for the four groups of species considered in this study (frigatebirds, brown terns, boobies and sub-surface predators).
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Directory of Open Access Journals (Sweden)
Laurie Thiers
Full Text Available In tropical waters resources are usually scarce and patchy, and predatory species generally show specific adaptations for foraging. Tropical seabirds often forage in association with sub-surface predators that create feeding opportunities by bringing prey close to the surface, and the birds often aggregate in large multispecific flocks. Here we hypothesize that frigatebirds, a tropical seabird adapted to foraging with low energetic costs, could be a good predictor of the distribution of their associated predatory species, including other seabirds (e.g. boobies, terns and subsurface predators (e.g., dolphins, tunas. To test this hypothesis, we compared distribution patterns of marine predators in the Mozambique Channel based on a long-term dataset of both vessel- and aerial surveys, as well as tracking data of frigatebirds. By developing species distribution models (SDMs, we identified key marine areas for tropical predators in relation to contemporaneous oceanographic features to investigate multi-species spatial overlap areas and identify predator hotspots in the Mozambique Channel. SDMs reasonably matched observed patterns and both static (e.g. bathymetry and dynamic (e.g. Chlorophyll a concentration and sea surface temperature factors were important explaining predator distribution patterns. We found that the distribution of frigatebirds included the distributions of the associated species. The central part of the channel appeared to be the best habitat for the four groups of species considered in this study (frigatebirds, brown terns, boobies and sub-surface predators.
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Blyth, Julie; Makrantoni, Vasso; Barton, Rachael E.; Spanos, Christos; Rappsilber, Juri; Marston, Adele L.
2018-01-01
Meiosis is a specialized cell division that generates gametes, such as eggs and sperm. Errors in meiosis result in miscarriages and are the leading cause of birth defects; however, the molecular origins of these defects remain unknown. Studies in model organisms are beginning to identify the genes and pathways important for meiosis, but the parts list is still poorly defined. Here we present a comprehensive catalog of genes important for meiosis in the fission yeast, Schizosaccharomyces pombe. Our genome-wide functional screen surveyed all nonessential genes for roles in chromosome segregation and spore formation. Novel genes important at distinct stages of the meiotic chromosome segregation and differentiation program were identified. Preliminary characterization implicated three of these genes in centrosome/spindle pole body, centromere, and cohesion function. Our findings represent a near-complete parts list of genes important for meiosis in fission yeast, providing a valuable resource to advance our molecular understanding of meiosis. PMID:29259000
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Predictors of posttreatment drinking outcomes in patients with alcohol dependence.
Flórez, Gerardo; Saiz, Pilar A; García-Portilla, Paz; De Cos, Francisco J; Dapía, Sonia; Alvarez, Sandra; Nogueiras, Luis; Bobes, Julio
2015-01-01
This cohort study examined how predictors of alcohol dependence treatment outcomes work together over time by comparing pretreatment and posttreatment predictors. A sample of 274 alcohol-dependent patients was recruited and assessed at baseline, 6 months after treatment initiation (end of the active intervention phase), and 18 months after treatment initiation (end of the 12-month research follow-up phase). At each assessment point, the participants completed a battery of standardized tests [European Addiction Severity Index (EuropASI), Obsessive Compulsive Drinking Scale (OCDS), Alcohol Timeline Followback (TLFB), Fagerström, and International Personality Disorder Examination (IPDE)] that measured symptom severity and consequences; biological markers of alcohol consumption were also tested at each assessment point. A sequential strategy with univariate and multivariate analyses was used to identify how pretreatment and posttreatment predictors influence outcomes up to 1 year after treatment. Pretreatment variables had less predictive power than posttreatment ones. OCDS scores and biological markers of alcohol consumption were the most significant variables for the prediction of posttreatment outcomes. Prior pharmacotherapy treatment and relapse prevention interventions were also associated with posttreatment outcomes. The findings highlight the positive impact of pharmacotherapy during the first 6 months after treatment initiation and of relapse prevention during the first year after treatment and how posttreatment predictors are more important than pretreatment predictors.
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Methodology for identifying boundaries of systems important to safety in CANDU nuclear power plants
International Nuclear Information System (INIS)
Therrien, S.; Komljenovic, D.; Therrien, P.; Ruest, C.; Prevost, P.; Vaillancourt, R.
2007-01-01
This paper presents a methodology developed to identify the boundaries of the systems important to safety (SIS) at the Gentilly-2 Nuclear Power Plant (NPP), Hydro-Quebec. The SIS boundaries identification considers nuclear safety only. Components that are not identified as important to safety are systematically identified as related to safety. A global assessment process such as WANO/INPO AP-913 'Equipment Reliability Process' will be needed to implement adequate changes in the management rules of those components. The paper depicts results in applying the methodology to the Shutdown Systems 1 and 2 (SDS 1, 2), and to the Emergency Core Cooling System (ECCS). This validation process enabled fine tuning the methodology, performing a better estimate of the effort required to evaluate a system, and identifying components important to safety of these systems. (author)
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Tsai, Chia-Ti; Hsieh, Chia-Shan; Chang, Sheng-Nan; Chuang, Eric Y.; Ueng, Kwo-Chang; Tsai, Chin-Feng; Lin, Tsung-Hsien; Wu, Cho-Kai; Lee, Jen-Kuang; Lin, Lian-Yu; Wang, Yi-Chih; Yu, Chih-Chieh; Lai, Ling-Ping; Tseng, Chuen-Den; Hwang, Juey-Jen; Chiang, Fu-Tien; Lin, Jiunn-Lee
2016-01-01
Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia. Previous genome-wide association studies had identified single-nucleotide polymorphisms in several genomic regions to be associated with AF. In human genome, copy number variations (CNVs) are known to contribute to disease susceptibility. Using a genome-wide multistage approach to identify AF susceptibility CNVs, we here show a common 4,470-bp diallelic CNV in the first intron of potassium interacting channel 1 gene (KCNIP1) is strongly associated with AF in Taiwanese populations (odds ratio=2.27 for insertion allele; P=6.23 × 10−24). KCNIP1 insertion is associated with higher KCNIP1 mRNA expression. KCNIP1-encoded protein potassium interacting channel 1 (KCHIP1) is physically associated with potassium Kv channels and modulates atrial transient outward current in cardiac myocytes. Overexpression of KCNIP1 results in inducible AF in zebrafish. In conclusions, a common CNV in KCNIP1 gene is a genetic predictor of AF risk possibly pointing to a functional pathway. PMID:26831368
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Strategic predictors of performance in a divided attention task
Faragó, Kinga Bettina; Lőrincz, András
2018-01-01
In this study we investigate the strategies of subjects in a complex divided attention task. We conducted a series of experiments with ten participants and evaluated their performance. After an extensive analysis, we identified four strategic measures that justify the achievement of the participants, by highlighting the individual differences and predicting performance in a regression analysis using generalized estimating equations. Selecting the more urgent task and user action between multiple simultaneous possibilities form two of the strategic decisions, respectively. The third one refers to choosing a response within the same task when the opportunity is present. The fourth and most important measure of strategy involves thinking ahead and executing an action before a situation would become critical. This latter one has the effect of reducing later cognitive load or timing constraints and it is shown to explain almost as much variance in performance as the other three, more straightforward predictors together. In addition to determining these strategic predictors, we also show how manipulating task difficulty induces a shift in strategy, thus impairing human performance in the rehearsed task. The results of this study indicate that considerable differences in the divided attention ability of normal subjects can be identified early and with simple measurements. The importance of describing and analyzing strategies is also emphasized, which can substantially influence performance in complex tasks and may serve training needs. PMID:29621292
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Strategic predictors of performance in a divided attention task.
Directory of Open Access Journals (Sweden)
Róbert Adrian Rill
Full Text Available In this study we investigate the strategies of subjects in a complex divided attention task. We conducted a series of experiments with ten participants and evaluated their performance. After an extensive analysis, we identified four strategic measures that justify the achievement of the participants, by highlighting the individual differences and predicting performance in a regression analysis using generalized estimating equations. Selecting the more urgent task and user action between multiple simultaneous possibilities form two of the strategic decisions, respectively. The third one refers to choosing a response within the same task when the opportunity is present. The fourth and most important measure of strategy involves thinking ahead and executing an action before a situation would become critical. This latter one has the effect of reducing later cognitive load or timing constraints and it is shown to explain almost as much variance in performance as the other three, more straightforward predictors together. In addition to determining these strategic predictors, we also show how manipulating task difficulty induces a shift in strategy, thus impairing human performance in the rehearsed task. The results of this study indicate that considerable differences in the divided attention ability of normal subjects can be identified early and with simple measurements. The importance of describing and analyzing strategies is also emphasized, which can substantially influence performance in complex tasks and may serve training needs.
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Strategic predictors of performance in a divided attention task.
Rill, Róbert Adrian; Faragó, Kinga Bettina; Lőrincz, András
2018-01-01
In this study we investigate the strategies of subjects in a complex divided attention task. We conducted a series of experiments with ten participants and evaluated their performance. After an extensive analysis, we identified four strategic measures that justify the achievement of the participants, by highlighting the individual differences and predicting performance in a regression analysis using generalized estimating equations. Selecting the more urgent task and user action between multiple simultaneous possibilities form two of the strategic decisions, respectively. The third one refers to choosing a response within the same task when the opportunity is present. The fourth and most important measure of strategy involves thinking ahead and executing an action before a situation would become critical. This latter one has the effect of reducing later cognitive load or timing constraints and it is shown to explain almost as much variance in performance as the other three, more straightforward predictors together. In addition to determining these strategic predictors, we also show how manipulating task difficulty induces a shift in strategy, thus impairing human performance in the rehearsed task. The results of this study indicate that considerable differences in the divided attention ability of normal subjects can be identified early and with simple measurements. The importance of describing and analyzing strategies is also emphasized, which can substantially influence performance in complex tasks and may serve training needs.
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Predictors of treatment success in smoking cessation with ...
African Journals Online (AJOL)
Background. Identification of the predictors of treatment success in smoking cessation may help healthcare workers to improve the effectiveness of attempts at quitting. Objective. To identify the predictors of success in a randomised controlled trial comparing varenicline alone or in combination with nicotine replacement ...
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Predictors of Suicidal Ideation among High School Students by Gender in South Korea
Park, Hyun Sook; Schepp, Karen G.; Jang, Eun Hee; Koo, Hyun Young
2006-01-01
The purpose of this study was to examine the evidence to determine if there are gender differences in suicidal ideation of adolescents. This study examined the main effect of risk factors from 5 domains and protective factors from 1 domain in relation to suicidal ideation by gender and identified the most important predictors of suicidal ideation…
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Moon, Kilson; Krems, Carolin; Heuer, Thorsten; Roth, Alexander; Hoffmann, Ingrid
2017-01-01
Objective The objective of the study was to identify predictors of BMI in German adults by considering the BMI distribution and to determine whether the association between BMI and its predictors varies along the BMI distribution. Methods The sample included 9,214 adults aged 18–80 years from the German National Nutrition Survey II (NVS II). Quantile regression analyses were conducted to examine the association between BMI and the following predictors: age, sports activities, socio-economic status (SES), healthy eating index-NVS II (HEI-NVS II), dietary knowledge, sleeping duration and energy intake as well as status of smoking, partner relationship and self-reported health. Results Age, SES, self-reported health status, sports activities and energy intake were the strongest predictors of BMI. The important outcome of this study is that the association between BMI and its predictors varies along the BMI distribution. Especially, energy intake, health status and SES were marginally associated with BMI in normal-weight subjects; this relationships became stronger in the range of overweight, and were strongest in the range of obesity. Conclusions Predictors of BMI and the strength of these associations vary across the BMI distribution in German adults. Consequently, to identify predictors of BMI, the entire BMI distribution should be considered. PMID:28219069
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Assessing the relative importance of correlates of loneliness in later life
DEFF Research Database (Denmark)
Ejlskov, Linda; Wulff, Jesper; Bøggild, Henrik
2017-01-01
OBJECTIVES: Improving the design and targeting of interventions is important for alleviating loneliness among older adults. This requires identifying which correlates are the most important predictors of loneliness. This study demonstrates the use of recursive partitioning in exploring...... the characteristics and assessing the relative importance of correlates of loneliness in older adults. METHOD: Using exploratory regression trees and random forests, we examined combinations and the relative importance of 42 correlates in relation to loneliness at age 68 among 2453 participants from the birth cohort...... study the MRC National Survey of Health and Development. RESULTS: Positive mental well-being, personal mastery, identifying the spouse as the closest confidant, being extrovert and informal social contact were the most important correlates of lower loneliness levels. Participation in organised groups...
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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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Directory of Open Access Journals (Sweden)
Daniel Adjei
2014-10-01
Full Text Available Effective contraceptive use prevents most reproductive health challenges. The aim of this study is to identify the demographic predictors of contraceptive usage in Ghana. Using a logistic regression analysis, a sample size of 4916 women of the Ghana Demographic and Health Survey (GDHS 2008 were selected. Results showed that religion is the most important predictor among the demographic factors. Ethnicity of the women, level of education and region of residence were also found to be statistically significantly. Contraceptive health promotion should be intensified as the best option for preventing unintended pregnancies in the respective variables.
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Predictors of mental health in female teachers.
Seibt, Reingard; Spitzer, Silvia; Druschke, Diana; Scheuch, Klaus; Hinz, Andreas
2013-12-01
Teaching profession is characterised by an above-average rate of psychosomatic and mental health impairment due to work-related stress. The aim of the study was to identify predictors of mental health in female teachers. A sample of 630 female teachers (average age 47 ± 7 years) participated in a screening diagnostic inventory. Mental health was surveyed with the General Health Questionnaire GHQ-12. The following parameters were measured: specific work conditions (teacher-specific occupational history), scales of the Effort-Reward-Imbalance (ERI) Questionnaire as well as cardiovascular risk factors, physical complaints (BFB) and personal factors such as inability to recover (FABA), sense of coherence (SOC) and health behaviour. First, mentally fit (MH(+)) and mentally impaired teachers (MH(-)) were differentiated based on the GHQ-12 sum score (MH(+): teachers showed evidence of mental impairment. There were no differences concerning work-related and cardiovascular risk factors as well as health behaviour between MH(+) and MH(-). Binary logistic regressions identified 4 predictors that showed a significant effect on mental health. The effort-reward-ratio proved to be the most relevant predictor, while physical complaints as well as inability to recover and sense of coherence were identified as advanced predictors (explanation of variance: 23%). Contrary to the expectations, classic work-related factors can hardly contribute to the explanation of mental health. Additionally, cardiovascular risk factors and health behaviour have no relevant influence. However, effort-reward-ratio, physical complaints and personal factors are of considerable influence on mental health in teachers. These relevant predictors should become a part of preventive arrangements for the conservation of teachers' health in the future.
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Predictors of long-term effect from education and exercise in patients with knee and hip pain
DEFF Research Database (Denmark)
Skou, Søren Thorgaard; Simonsen, Mikkel Elstrup; Odgaard, Anders
2014-01-01
in pain (p self-efficacy at three months (Beta = 0.304) was a predictor of one-year improvement in EQ-5D (p = 0.01). CONCLUSION: The identified predictors highlight the importance of combining education and exercise. This study indicates that good long-term treatment results...... baseline to one year were dependent variables in regression analyses, while changes from baseline to 3 months and absolute results at three months in physical performance (30-second chair stand test) and self-efficacy were predictor variables. RESULTS: A total of 79/82 patients completed the one......-year follow-up. Improvements in pain and EQ-5D at three months were maintained at one year (p self-efficacy from baseline to three months (Beta = -0.369) and 30-second chair stand test (Beta = -0.251) and self-efficacy at three months (Beta = -0.492) were predictors of one-year improvement...
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Directory of Open Access Journals (Sweden)
David J. Purpura
2017-12-01
Full Text Available Many children struggle to successfully acquire early mathematics skills. Theoretical and empirical evidence has pointed to deficits in domain-specific skills (e.g., non-symbolic mathematics skills or domain-general skills (e.g., executive functioning and language as underlying low mathematical performance. In the current study, we assessed a sample of 113 three- to five-year old preschool children on a battery of domain-specific and domain-general factors in the fall and spring of their preschool year to identify Time 1 (fall factors associated with low performance in mathematics knowledge at Time 2 (spring. We used the exploratory approach of classification and regression tree analyses, a strategy that uses step-wise partitioning to create subgroups from a larger sample using multiple predictors, to identify the factors that were the strongest classifiers of low performance for younger and older preschool children. Results indicated that the most consistent classifier of low mathematics performance at Time 2 was children’s Time 1 mathematical language skills. Further, other distinct classifiers of low performance emerged for younger and older children. These findings suggest that risk classification for low mathematics performance may differ depending on children’s age.
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Some predictors of life goals in Slovenia and Croatia
Directory of Open Access Journals (Sweden)
Olga Poljšak Škraban
2008-04-01
Full Text Available Personal goals and interests play an important role in human development because they orient people's life planning, decision-making and also, therefore, their future life course. The article presents the findings of a research which explores the eventual differences between Slovenian and Croatian sample in agency-oriented and communion-oriented life goals and the analysis of significant predictors of above mentioned life goals on both samples. The research included 924 adults of both genders, aged between 21 and 70 years from Slovenia and Croatia. In the study we used the scale of Goals (Pohlman and Brunstein, 1997 and a set of questions regarding various participant's life domains and their perceived importance. The results show significant differences on agency- oriented and communion-oriented life goals between the Slovenian and Croatian sample; in both cases croatian participants reach higher results than those from slovenina sample. As significant predictors in both samples were identified (a age and importance of effective use of free time for agency-oriented goals, and (b and gender, parenthood, importance of parenthood and importance of effective use of free time for communion-oriented life goals. The differences in results are explained by respective levels of social modernisation and social welfare, given the fact the Slovenian respondents are embedded in the social environment that offers more possibilities for fullfilment of their life goals, and are closer to postmaterialism and individualism.a
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Amos, Natalie; McCabe, Marita P
2016-01-01
Research on self-perceived sexual attractiveness has predominantly focused on the importance of physical appearance, overlooking nonphysical traits that may contribute to these self-perceptions. The present study examined and compared the importance of a variety of traits for self-perceived sexual attractiveness. Self-identified heterosexual, gay, and bisexual men (N = 1,801) and heterosexual, lesbian, and bisexual women (N = 1,092) completed an online questionnaire examining self-perceived sexual attractiveness, body esteem, sexual esteem, adherence to gender norms, and sexual experience. Body esteem and sexual esteem were significant predictors of self-perceived sexual attractiveness, regardless of gender and sexual orientation. Adhering to a masculine gender norm was a significant predictor among all groups (to varying extents) but heterosexual women. Adhering to a feminine gender norm was a significant predictor among heterosexual men and bisexual women. Finally, sexual experience was a significant predictor for all men and bisexual women. Furthermore, while body esteem was a predictor across all groups, for most individuals it did not appear to be of primary importance, with either sexual esteem or masculinity proving to be of greater importance. These findings suggest the need to consider traits related to both physical and nonphysical factors for improving an individual's self-perceived sexual attractiveness.
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van den Reek, J M P A; Tummers, M; Zweegers, J; Seyger, M M B; van Lümig, P P M; Driessen, R J B; van de Kerkhof, P C M; Kievit, W; de Jong, E M G J
2015-03-01
Drug survival is an indicator for treatment success; insight in predictors associated with drug survival is important. To analyse the long-term drug survival for adalimumab in patients with psoriasis treated in daily practice and (II) to identify predictors of prolonged drug survival for adalimumab split for different reasons of discontinuation. Data were extracted from a prospective psoriasis cohort and analysed using Kaplan-Meier survival curves split for reasons of discontinuation. Baseline predictors associated with longer drug survival were identified using multivariate Cox-regression analysis. One hundred and sixteen patients were included with a total of 208 patient-years. Overall drug survival was 76% after 1 year and 52% after 4.5 years. In patients who stopped due to ineffectiveness, longer drug survival was associated with the absence of specific comorbidities (P = 0.03). In patients who stopped due to side-effects, longer drug survival was associated with male gender (P = 0.02). Predictors of adalimumab drug survival in psoriasis differ by reason for discontinuation. Strong, specific predictors can lead to patient-tailored treatment. © 2014 European Academy of Dermatology and Venereology.
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Hand hygiene of medical students and resident physicians: predictors of attitudes and behaviour.
Barroso, Violeta; Caceres, Wendy; Loftus, Pooja; Evans, Kambria H; Shieh, Lisa
2016-09-01
We measured medical students' and resident trainees' hand hygiene behaviour, knowledge and attitudes in order to identify important predictors of hand hygiene behaviour in this population. An anonymous, web-based questionnaire was distributed to medical students and residents at Stanford University School of Medicine in August of 2012. The questionnaire included questions regarding participants' behaviour, knowledge, attitude and experiences about hand hygiene. Behaviour, knowledge and attitude indices were scaled from 0 to 1, with 1 representing superior responses. Using multivariate regression, we identified positive and negative predictors of superior hand hygiene behaviour. We investigated effectiveness of interventions, barriers and comfort reminding others. 280 participants (111 students and 169 residents) completed the questionnaire (response rate 27.8%). Residents and medical students reported hand hygiene behaviour compliance of 0.45 and 0.55, respectively (p=0.02). Resident and medical student knowledge was 0.80 and 0.73, respectively (p=0.001). The attitude index for residents was 0.56 and 0.55 for medical students. Regression analysis identified experiences as predictors of hand hygiene behaviour (both positive and negative influence). Knowledge was not a significant predictor of behaviour, but a working gel dispenser and observing attending physicians with good hand hygiene practices were reported by both groups as the most effective strategy in influencing trainees. Medical students and residents have similar attitudes about hand hygiene, but differ in their level of knowledge and compliance. Concerns about hierarchy may have a significant negative impact on hand hygiene advocacy. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
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Predictors of mental health in female teachers
Directory of Open Access Journals (Sweden)
Reingard Seibt
2013-12-01
Full Text Available Objective: Teaching profession is characterised by an above-average rate of psychosomatic and mental health impairment due to work-related stress. The aim of the study was to identify predictors of mental health in female teachers. Material and Methods: A sample of 630 female teachers (average age 47±7 years participated in a screening diagnostic inventory. Mental health was surveyed with the General Health Questionnaire GHQ-12. The following parameters were measured: specific work conditions (teacher-specific occupational history, scales of the Effort-Reward-Imbalance (ERI Questionnaire as well as cardiovascular risk factors, physical complaints (BFB and personal factors such as inability to recover (FABA, sense of coherence (SOC and health behaviour. Results: First, mentally fit (MH+ and mentally impaired teachers (MH- were differentiated based on the GHQ-12 sum score (MH+: < 5; MH-: ≥ 5; 18% of the teachers showed evidence of mental impairment. There were no differences concerning work-related and cardiovascular risk factors as well as health behaviour between MH+ and MH-. Binary logistic regressions identified 4 predictors that showed a significant effect on mental health. The effort-reward-ratio proved to be the most relevant predictor, while physical complaints as well as inability to recover and sense of coherence were identified as advanced predictors (explanation of variance: 23%. Conclusion: Contrary to the expectations, classic work-related factors can hardly contribute to the explanation of mental health. Additionally, cardiovascular risk factors and health behaviour have no relevant influence. However, effort-reward-ratio, physical complaints and personal factors are of considerable influence on mental health in teachers. These relevant predictors should become a part of preventive arrangements for the conservation of teachers' health in the future.
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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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DEFF Research Database (Denmark)
Ejlskov, Linda; Wulff, Jesper; Bøggild, Henrik
2017-01-01
and demographic correlates were poor identifiers of loneliness. The regression tree suggested that loneliness was not raised among those with poor mental wellbeing if they identified their partner as closest confidante and had frequent social contact. CONCLUSION: Recursive partitioning can identify which......OBJECTIVES: Improving the design and targeting of interventions is important for alleviating loneliness among older adults. This requires identifying which correlates are the most important predictors of loneliness. This study demonstrates the use of recursive partitioning in exploring...... the characteristics and assessing the relative importance of correlates of loneliness in older adults. METHOD: Using exploratory regression trees and random forests, we examined combinations and the relative importance of 42 correlates in relation to loneliness at age 68 among 2453 participants from the birth cohort...
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Predictors of students' self-esteem: The importance of body self-perception and exercise
Directory of Open Access Journals (Sweden)
Lazarević Ljiljana B.
2017-01-01
Full Text Available The goal of this study was to explore the predictive validity of physical self-efficacy, social physique anxiety, and physical activity in the self-esteem of students, as well as to investigate potential gender differences. The Rosenberg's Self-Esteem Scale (SES, Physical Self-Efficacy Scale (PSES, Social Physique Anxiety Scale (SPAS, and a short questionnaire about physical activity were administered to a sample of 232 university students. The overall results show that students are moderately physically active (on the average, 2.75 times per week, have moderately high selfesteem and physical self-efficacy and lower social physique anxiety. No gender differences were detected in self-esteem. In other variables, gender differences are significant and mostly in favour of males. The analyses showed that self-esteem correlated positively with physical self-efficacy and physical activity, and negatively with social physique anxiety. The regression analyses indicated that physical selfefficacy, social physique anxiety and female gender were significant predictors of self-esteem. Physical activity was not a significant predictor of self-esteem. Future studies should investigate the relations of body self-perceptions, physical exercise, and domain-specific self-esteem.
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What variables are important in predicting bovine viral diarrhea virus? A random forest approach.
Machado, Gustavo; Mendoza, Mariana Recamonde; Corbellini, Luis Gustavo
2015-07-24
Bovine viral diarrhea virus (BVDV) causes one of the most economically important diseases in cattle, and the virus is found worldwide. A better understanding of the disease associated factors is a crucial step towards the definition of strategies for control and eradication. In this study we trained a random forest (RF) prediction model and performed variable importance analysis to identify factors associated with BVDV occurrence. In addition, we assessed the influence of features selection on RF performance and evaluated its predictive power relative to other popular classifiers and to logistic regression. We found that RF classification model resulted in an average error rate of 32.03% for the negative class (negative for BVDV) and 36.78% for the positive class (positive for BVDV).The RF model presented area under the ROC curve equal to 0.702. Variable importance analysis revealed that important predictors of BVDV occurrence were: a) who inseminates the animals, b) number of neighboring farms that have cattle and c) rectal palpation performed routinely. Our results suggest that the use of machine learning algorithms, especially RF, is a promising methodology for the analysis of cross-sectional studies, presenting a satisfactory predictive power and the ability to identify predictors that represent potential risk factors for BVDV investigation. We examined classical predictors and found some new and hard to control practices that may lead to the spread of this disease within and among farms, mainly regarding poor or neglected reproduction management, which should be considered for disease control and eradication.
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Predictors of excellent early outcome after total hip arthroplasty
Directory of Open Access Journals (Sweden)
Smith George H
2012-03-01
Full Text Available Abstract Background Not all patients gain the same degree of improvement from total hip replacement and the reasons for this are not clear. Many investigators have assessed predictors of general outcome after hip surgery. This study is unique in its quest for the predictors of the best possible early outcome. Methods We prospectively collected data on 1318 total hip replacements. Prior to surgery patient characteristics, demographics and co-morbidities were documented. Hip function and general health was assessed using the Harris Hip score (HHS and the Short-Form 36 respectively. The HHS was repeated at three years. We took a maximal HHS of 100 to represent an excellent outcome (102 patients. Multiple logistic regression analysis was used to identify independent predictors of excellent outcome. Results The two strongest predictive factors in achieving an excellent result were young age and a high pre-operative HHS (p = 0.001. Conclusions It was the young and those less disabled from their arthritis that excelled at three years. When making a decision about the timing of hip arthroplasty surgery it is important to take into account the age and pre-operative function of the patient. Whether these patients continue to excel however will be the basis of future research.
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Predictors of physical independence at discharge after stroke rehabilitation in a Dutch population
Ten Brink, Antonia F.; Hajos, Tibor R.S.; Van Bennekom, Coen; Nachtegaal, Janneke; Meulenbelt, Henk E.J.; Fleuren, Judith F.M.; Kouwenhoven, Mirjam; Luijkx, Marscha M.; Wijffels, Markus P.; Post, Marcel W. M.
2017-01-01
The aim of this study was to identify predictors, available at admission, of physical independence at discharge from inpatient rehabilitation. Secondary aims were to identify predictors of functional gain and length of stay (LOS). We included 1310 adult stroke patients who were admitted for
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Concurrent sexual partners-A predictor of Chlamydia
DEFF Research Database (Denmark)
Jørgensen, Marianne Johansson; Olesen, Frede; Maindal, Helle Terkildsen
2013-01-01
, but the significance of this compared with other well-known predictors has only been briefly described. Aim: The aim is to examine if concurrent partners isan independent predictor for C. trachomatis infection in young Danes aged 15-29 years. Methods: Detailed sexual behavior data were collected via a web......:These preliminary results suggest that concurrent sexual partners is an important predictor for C.trachomatis infections among young Danes aged 15-29. A more concise conclusion will be presented at the Ph.D day......Background:Chlamydia trachomatis is the most common sexually transmitted bacterial infection among young Danes and the spread is highly dependent on the population’s sexual behavior. Previous studies have found concurrent partnerships to be a possible predictor for C. trachomatis...
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Crawshaw, Jacob; Auyeung, Vivian; Norton, Sam; Weinman, John
2016-11-01
Medication non-adherence following acute coronary syndrome (ACS) is associated with poor clinical outcomes. A systematic review and meta-analysis were undertaken to identify psychosocial factors associated with medication adherence in patients with ACS. A search of electronic databases (Cochrane Library, Medline, EMBASE, PsycINFO, Web of Science, International Pharmaceutical Abstracts, CINAHL, ASSIA, OpenGrey, EthOS and WorldCat) was undertaken to identify relevant articles published in English between 2000 and 2014. Articles were screened against our inclusion criteria and data on study design, sample characteristics, predictors, outcomes, analyses, key findings and study limitations were abstracted. Our search identified 3609 records, of which 17 articles met our inclusion criteria (15 independent studies). Eight out of ten studies found an association between depression and non-adherence. A meta-analysis revealed that depressed patients were twice as likely to be non-adherent compared to patients without depression (OR=2.00, 95% CI 1.57-3.33, p=0.015). Type D personality was found to predict non-adherence in both studies in which it was measured. Three out of three studies reported that treatment beliefs based on the Necessity-Concerns Framework predicted medication non-adherence and there was some evidence that social support was associated with better adherence. There was insufficient data to meta-analyse all other psychosocial factors identified. There was some evidence that psychosocial factors, particularly depression, were associated with medication adherence following ACS. Targeting depressive symptoms, screening for Type D personality, challenging maladaptive treatment beliefs, and providing better social support for patients may be useful strategies to improve medication adherence. Crown Copyright © 2016. Published by Elsevier Inc. All rights reserved.
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Slesnick, Natasha; Guo, Xiamei; Brakenhoff, Brittany; Feng, Xin
2013-10-01
Given high levels of health and psychological costs associated with the family disruption of homelessness, identifying predictors of runaway and homeless episodes is an important goal. The current study followed 179 substance abusing, shelter-recruited adolescents who participated in a randomized clinical trial. Predictors of runaway and homeless episodes were examined over a two year period. Results from the hierarchical linear modeling analysis showed that family cohesion and substance use, but not family conflict or depressive symptoms, delinquency, or school enrollment predicted future runaway and homeless episodes. Findings suggest that increasing family support, care and connection and reducing substance use are important targets of intervention efforts in preventing future runaway and homeless episodes amongst a high risk sample of adolescents. Copyright © 2013 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.
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Predictors of depression stigma
Directory of Open Access Journals (Sweden)
Jorm Anthony F
2008-04-01
Full Text Available Abstract Background To investigate and compare the predictors of personal and perceived stigma associated with depression. Method Three samples were surveyed to investigate the predictors: a national sample of 1,001 Australian adults; a local community sample of 5,572 residents of the Australian Capital Territory and Queanbeyan aged 18 to 50 years; and a psychologically distressed subset (n = 487 of the latter sample. Personal and Perceived Stigma were measured using the two subscales of the Depression Stigma Scale. Potential predictors included demographic variables (age, gender, education, country of birth, remoteness of residence, psychological distress, awareness of Australia's national depression initiative beyondblue, depression literacy and level of exposure to depression. Not all predictors were used for all samples. Results Personal stigma was consistently higher among men, those with less education and those born overseas. It was also associated with greater current psychological distress, lower prior contact with depression, not having heard of a national awareness raising initiative, and lower depression literacy. These findings differed from those for perceived stigma except for psychological distress which was associated with both higher personal and higher perceived stigma. Remoteness of residence was not associated with either type of stigma. Conclusion The findings highlight the importance of treating the concepts of personal and perceived stigma separately in designing measures of stigma, in interpreting the pattern of findings in studies of the predictors of stigma, and in designing, interpreting the impact of and disseminating interventions for stigma.
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Can You Hack It? Validating Predictors for IT Boot Camps
Gear, Courtney C.
Given the large number of information technology jobs open and lack of qualified individuals to fill them, coding boot camps have sprung up in response to this skill gap by offering a specialized training program in an accelerated format. This fast growth has created a need to measure these training programs and understand their effectiveness. In the present study, a series of analyses examined whether specific or combinations of predictors were valid for training performance in this coding academy. Self-rated, daily efficacy scores were used as outcome variables of training success and correlation results showed a positive relationship with efficacy scores and the logic test score as a predictor. Exploratory analyses indicated a Dunning-Kruger effect where students with lower education levels experience higher overall mood during the training program. Limitations of the study included small sample size, severe range restriction in predictor scores, lack of variance in predictor scores, and low variability in training program success. These limitations made identifying jumps between training stages difficult to identify. By identifying which predictors matter most for each stage of skill acquisition, further research should consider more objective variables such as instructor scores which can serve as a guideline to better asses what stage learners join at and how to design curriculum and assignments accordingly (Honken, 2013).
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Seasonal variation and predictors of epistaxis.
Purkey, Matthew R; Seeskin, Zachary; Chandra, Rakesh
2014-09-01
To examine the incidence of epistaxis as a function of season and age and to determine predictors of episodes within the epistaxis patient population presenting to a tertiary hospital system. Retrospective cohort study. Electronic medical record charts of patients presenting to the Northwestern Emergency Department, admitted to an inpatient ward, or seen in an outpatient setting between 2008 and 2012 were reviewed and selected for an International Classifications of Disease-Ninth Revision epistaxis code of 784.7. Season of presentation, demographic factors (age, race, gender, insurance status), medication use (including anticoagulants and topical nasal steroid administration), and several comorbidities were analyzed as potential predictors of episodes. A total of 2,405 patients were identified with a total of 3,666 individual epistaxis episodes over 5 years. Multivariate analysis identified allergic rhinitis (AR), chronic sinusitis (CRS), coagulopathy, hereditary hemorrhagic telangiectasia (HHT), hematologic malignancy, and hypertension (HTN) as predictors of a higher number of cases. Epistaxis occurred more frequently during colder months and in older patients. Epistaxis occurs more commonly during the winter and in older patients. AR, CRS, coagulopathy, HHT, hematologic malignancy, and HTN are associated with increased epistaxis incidence. © 2014 The American Laryngological, Rhinological and Otological Society, Inc.
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Prediction of fruit and vegetable intake: The importance of contextualizing motivation.
Evans, Rachel; Kawabata, Masato; Thomas, Shirley
2015-09-01
Motivation is identified as a key antecedent of self-regulated behaviour, such as eating fruit and vegetables. However, inaccurate measurement of this construct may lead to poor prediction of behaviour and inflate the impact of post-motivational factors, such as planning, in models of health behaviour. This study explored the properties of a newly identified measure of motivation, termed behavioural resolve (Rhodes & Horne, 2013, Psychol. Sport Exerc., 14, 455-460), in relation to intention, planning, and fruit and vegetable intake (FVI). Prospective self-report survey. University students living in the United Kingdom completed two online surveys. The first assessed demographic and predictor variables (intention, behavioural resolve, action planning, and coping planning). The second, completed approximately 2 weeks later, measured average daily FVI and perceived experience of obstacles to FVI. At Time 1, there were 195 respondents, with 139 providing follow-up data. All predictor variables were significantly correlated with FVI. Two independent multiple hierarchical regression analyses revealed that both intention and behavioural resolve were significant predictors of FVI, but behavioural resolve explained greater FVI variance (40.1%) than intention (36.4%). Furthermore, action planning showed incremental predictive utility over intention, but not behavioural resolve, in predicting FVI. The results indicated that motivation is an important determinant of FVI for students, with behavioural resolve demonstrating advantages over intention as a measure of this domain and a predictor of FVI behaviour. © 2014 The British Psychological Society.
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Cruz, Jonas P; Bashtawi, Meshrif A
2016-01-01
Hand hygiene is an important component of infection control, which is critical to ensuring patients' safety in hospitals. Nursing students are regarded as healthcare workers in training and can also be vehicles of cross-contamination within the hospital. Thus, this study aimed to identify the predictors of hand hygiene practice among Saudi nursing students. A descriptive, cross-sectional, self-reported study was conducted among 198 Saudi nursing students. Knowledge, attitude, and practice of hand hygiene were assessed using the WHO Hand Hygiene Knowledge Questionnaire for Health-Care Workers and its adopted scales. A regression analysis was performed to identify the predictors of hand hygiene practice. The respondents demonstrated moderate knowledge of hand hygiene (mean 13.20±2.80). The majority displayed a moderate attitude toward hand hygiene (52.1%), while only a few reported a poor attitude (13.1%). Approximately 68.7%, 29.8%, and 1.5% of the respondents reported moderate, good, and poor practice of hand hygiene, respectively. Having a good attitude toward hand hygiene, being male, being aware that hand hygiene is an effective intervention in preventing healthcare-associated infections (HAIs), attendance at hand hygiene trainings and seminars, and being in the lower academic level of nursing education were identified as predictors of better hand hygiene practice. The importance of ensuring a positive attitude toward hand hygiene and improving awareness of hand hygiene is emphasized, as are educational interventions. Educational interventions should be implemented to reinforce knowledge and instill a positive attitude toward hand hygiene. Copyright © 2015 King Saud Bin Abdulaziz University for Health Sciences. Published by Elsevier Ltd. All rights reserved.
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Predictors of Attitudes Toward Non-Technical Skills in Farming.
Irwin, Amy; Poots, Jill
2018-01-01
Farming is a high-risk sector with up to 170,000 worldwide fatalities reported per year; it is therefore vital to identify methods of mitigating the dangers of this industry. Research within high-risk industries, such as aviation, shipping, and agriculture, has identified the importance of non-technical skills (NTS) in maintaining effective, safe performance and reducing error and injury. However, there is a lack of research evaluating factors that may contribute to NTS attitudes and behaviors. As a first step to address this literature gap, the current study evaluated a range of individual and environmental factors as potential predictors of attitudes toward NTS in agriculture. A sample of 170 farmers from within the United Kingdom and Ireland were surveyed using an online questionnaire. The questionnaire included measures of personality, stress, attitudes toward safety (safety climate, motivation, and risk), environmental stressors (workload, work-life imbalance), and non-technical skills (team and lone worker). Attitudes toward safety climate, compliance, and motivation showed a significant association with both team-based and lone worker NTS. Conscientiousness correlated positively with the majority of the NTS elements. Multiple regression analysis indicated neuroticism and conscientiousness demonstrated capacity to predict NTS attitudes. Concerns about costs and equipment, attitudes toward safety climate, and safety motivation were also found to be significant predictors of NTS attitudes. The results indicate the utility of individual characteristics and environmental factors when predicting farming NTS attitudes. As a result, these elements could be important when evaluating engagement with NTS and developing NTS training initiatives in agriculture.
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Early Predictors of High School Mathematics Achievement
Siegler, Robert S.; Duncan, Greg J.; Davis-Kean, Pamela E.; Duckworth, Kathryn; Claessens, Amy; Engel, Mimi; Susperreguy, Maria Ines; Meichu, Chen
2012-01-01
Identifying the types of mathematics content knowledge that are most predictive of students' long-term learning is essential for improving both theories of mathematical development and mathematics education. To identify these types of knowledge, we examined long-term predictors of high school students' knowledge of algebra and overall mathematics…
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Differences in Psychosocial Predictors of Obesity Among LGBT Subgroups.
Warren, Jacob C; Smalley, K Bryant; Barefoot, K Nikki
2016-08-01
The purpose of the current study was to examine the overall presence of and differences in rates of overweight/obesity among a large, nationally diverse sample of lesbian, gay, bisexual, transgender (LGBT)-identified individuals (i.e., cisgender lesbians, cisgender gay men, cisgender bisexual women, cisgender bisexual men, transgender women, and transgender men) and to identify specific psychosocial predictors of obesity within each of the six LGBT subgroups. A total of 2702 LGBT-identified participants participated in the online study. Participants completed a series of demographic questions (including weight and height) and the Depression Anxiety Stress Scale 21. The percentage of participants who were overweight/obese did not differ significantly across LGBT subgroups, with 61.1% of the total sample being overweight/obese. However, the percentage of participants who self-reported body mass indexes in the obese range differed significantly across the six LGBT subgroups, with the highest prevalence in transgender men (46.0%). In addition, the predictors of obesity varied by subgroup, with age a significant predictor for cisgender lesbians, cisgender gay men, and cisgender bisexual women, relationship status for cisgender bisexual women, employment status for both cisgender gay men and cisgender bisexual women, education level for cisgender lesbians, and depression, anxiety, and stress for cisgender gay men. None of the examined psychosocial factors emerged as predictors of obesity for cisgender bisexual men, transgender women, or transgender men. These findings suggest that there are substantial variations in the presence and predictors of obesity across LGBT subgroups that support the need for culturally tailored healthy weight promotion efforts within the LGBT community.
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Predictors of Sunburn Risk Among Florida Residents.
Arutyunyan, Sergey; Alfonso, Sarah V; Hernandez, Nilda; Favreau, Tracy; Fernández, M Isabel
2017-03-01
The incidence of skin cancer, the most common type of cancer in the United States, is increasing. Sunburn is a major modifiable risk factor for skin cancer, and its prevalence among the US population is high. To identify predictors of having had a red or painful sunburn in the past 12 months among people living in Florida. Florida residents were recruited from public places and online. They were asked to complete an anonymous cross-sectional survey that assessed demographic information, dermatologic history, as well as knowledge, attitude, and behavior factors associated with sunburn. A total of 437 participants whose data were complete for all variables were included in the multivariate analysis. In multivariate logistic regression, younger age (18-29 years) was the most significant predictor of sunburn (OR, 15.26; 95% CI, 5.97-38.98; PSunburn prevention programs that osteopathic physicians can readily implement in clinical practice are urgently needed, particularly for young adult patients. This study identified 7 predictors of sunburn in Florida residents. With additional research findings, promoting attitude change toward sun protection may be a viable strategy.
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Predictors and patterns of problematic Internet game use using a decision tree model
Rho, Mi Jung; Jeong, Jo-Eun; Chun, Ji-Won; Cho, Hyun; Jung, Dong Jin; Choi, In Young; Kim, Dai-Jin
2016-01-01
Background and aims Problematic Internet game use is an important social issue that increases social expenditures for both individuals and nations. This study identified predictors and patterns of problematic Internet game use. Methods Data were collected from online surveys between November 26 and December 26, 2014. We identified 3,881 Internet game users from a total of 5,003 respondents. A total of 511 participants were assigned to the problematic Internet game user group according to the Diagnostic and Statistical Manual of Mental Disorders Internet gaming disorder criteria. From the remaining 3,370 participants, we used propensity score matching to develop a normal comparison group of 511 participants. In all, 1,022 participants were analyzed using the chi-square automatic interaction detector (CHAID) algorithm. Results According to the CHAID algorithm, six important predictors were found: gaming costs (50%), average weekday gaming time (23%), offline Internet gaming community meeting attendance (13%), average weekend and holiday gaming time (7%), marital status (4%), and self-perceptions of addiction to Internet game use (3%). In addition, three patterns out of six classification rules were explored: cost-consuming, socializing, and solitary gamers. Conclusion This study provides direction for future work on the screening of problematic Internet game use in adults. PMID:27499227
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Predictors and patterns of problematic Internet game use using a decision tree model.
Rho, Mi Jung; Jeong, Jo-Eun; Chun, Ji-Won; Cho, Hyun; Jung, Dong Jin; Choi, In Young; Kim, Dai-Jin
2016-09-01
Background and aims Problematic Internet game use is an important social issue that increases social expenditures for both individuals and nations. This study identified predictors and patterns of problematic Internet game use. Methods Data were collected from online surveys between November 26 and December 26, 2014. We identified 3,881 Internet game users from a total of 5,003 respondents. A total of 511 participants were assigned to the problematic Internet game user group according to the Diagnostic and Statistical Manual of Mental Disorders Internet gaming disorder criteria. From the remaining 3,370 participants, we used propensity score matching to develop a normal comparison group of 511 participants. In all, 1,022 participants were analyzed using the chi-square automatic interaction detector (CHAID) algorithm. Results According to the CHAID algorithm, six important predictors were found: gaming costs (50%), average weekday gaming time (23%), offline Internet gaming community meeting attendance (13%), average weekend and holiday gaming time (7%), marital status (4%), and self-perceptions of addiction to Internet game use (3%). In addition, three patterns out of six classification rules were explored: cost-consuming, socializing, and solitary gamers. Conclusion This study provides direction for future work on the screening of problematic Internet game use in adults.
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Predictors of fibromyalgia: a population-based twin cohort study
Markkula, Ritva A; Kalso, Eija A; Kaprio, Jaakko A
2016-01-01
Abstract Background Fibromyalgia (FM) is a pain syndrome, the mechanisms and predictors of which are still unclear. We have earlier validated a set of FM-symptom questions for detecting possible FM in an epidemiological survey and thereby identified a cluster with “possible FM”. This study explores prospectively predictors for membership of that FM-symptom cluster. Methods ...
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Cooper, Zafra; Allen, Elizabeth; Bailey-Straebler, Suzanne; Basden, Shawnee; Murphy, Rebecca; O'Connor, Marianne E; Fairburn, Christopher G
2016-09-01
Consistent predictors, and more especially moderators, of response to psychological treatments for eating disorders have not been identified. The present exploratory study examined predictors and moderators of outcome in adult patients who took part in a randomised clinical trial comparing two leading treatments for these disorders, enhanced cognitive behavioural therapy (CBT-E) and interpersonal psychotherapy (IPT). Four potentially important findings emerged. Firstly, patients with a longer duration of disorder were less likely to benefit from either treatment. Second, across the two treatments the presence, at baseline, of higher levels of over-evaluation of the importance of shape predicted a less good treatment outcome. Third DSM-IV diagnosis did not predict treatment outcome. Fourth, with the exception of patients with baseline low self-esteem who achieved a better outcome with CBT-E, it was generally not possible to identify a subgroup of patients who would differentially benefit from one or other treatment. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.
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Identifying important motivational factors for professionals in Greek hospitals
Kontodimopoulos, Nick; Paleologou, Victoria; Niakas, Dimitris
2009-01-01
Background The purpose of this study was to identify important motivational factors according to the views of health-care professionals in Greek hospitals and particularly to determine if these might differ in the public and private sectors. Methods A previously developed -and validated- instrument addressing four work-related motivators (job attributes, remuneration, co-workers and achievements) was used. Three categories of health care professionals, doctors (N = 354), nurses (N = 581) and office workers (N = 418), working in public and private hospitals, participated and motivation was compared across socio-demographic and occupational variables. Results The range of reported motivational factors was mixed and Maslow's conclusions that lower level motivational factors must be met before ascending to the next level were not confirmed. The highest ranked motivator for the entire sample, and by professional subgroup, was achievements (P motivators were similar, and only one significant difference was observed, namely between doctors and nurses in respect to co-workers (P motivated by all factors significantly more than their public-hospital counterparts. Conclusion The results are in agreement with the literature which focuses attention to management approaches employing both monetary and non-monetary incentives to motivate health care workers. This study showed that intrinsic factors are particularly important and should become a target for effective employee motivation. PMID:19754968
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Clinical predictors of outcome in patients with inflammatory dilated cardiomyopathy.
Directory of Open Access Journals (Sweden)
Konstantinos Karatolios
Full Text Available The study objectives were to identify predictors of outcome in patients with inflammatory dilated cardiomyopathy (DCMi.From 2004 to 2008, 55 patients with biopsy-proven DCMi were identified and followed up for 58.2±19.8 months. Predictors of outcome were identified in a multivariable analysis with a Cox proportional hazards analysis. The primary endpoint was a composite of death, heart transplantation and hospitalization for heart failure or ventricular arrhythmias.For the primary endpoint, a QTc interval >440msec (HR 2.84; 95% CI 1.03-7.87; p = 0.044, a glomerular filtration rate (GFR 440msec, a GFR<60ml/min/1.73m2 and worsening of NYHA classification during follow-up were univariate predictors of adverse prognosis. In contrast, NYHA classification at baseline, left ventricular ejection fraction, atrial fibrillation, treatment with digitalis or viral genome detection were not related to outcome. After multivariable analysis, a GFR <60ml/min/1.73m2 remained independently associated with adverse outcome.
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Sobol-Kwapinska, M; Plotek, W; Bąbel, P; Cybulski, M; Kluzik, A; Krystianc, J; Mandecki, M
2017-04-01
The aim of this study was to predict acute postsurgical pain and coping with pain following surgery based on preoperative time perspectives. Time perspective is a basic dimension of psychological time. It is a tendency to focus on a particular time area: the past, the present and the future. Seventy-six patients completed measures of time perspective and pain 24 h before abdominal surgery. During the 3 days after surgery, measures of pain and coping with pain were completed. We performed hierarchical regression analyses to identify predictors of acute postsurgical pain and how patients cope with it. These analyses suggested that a preoperative past-negative time perspective can be a predictor of postoperative pain level and catastrophizing after surgery. The findings of our study indicate the importance of time perspective, especially the past perspective, in dealing with postoperative pain. Our research indicates that a preoperative past-negative time perspective is a significant predictor of acute postsurgical pain intensity and the strongest predictor of pain catastrophizing. © 2016 European Pain Federation - EFIC®.
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Community College Faculty Recruitment: Predictors of Applicant Attraction to Faculty Positions.
Winter, Paul A.; Kjorlien, Chad L.
2000-01-01
Utilizes MBA students' biographical data and reactions to simulated position ads for community college business faculty positions to identify predictors of applicant decisions. Reveals four significant predictors of participants' ratings of simulated positions: applicant's current job satisfaction, spouse's contribution to household income,…
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Long-term incidence of depression and predictors of depressive symptoms in older stroke survivors.
Allan, Louise M; Rowan, Elise N; Thomas, Alan J; Polvikoski, Tuomo M; O'Brien, John T; Kalaria, Raj N
2013-12-01
Depression is common and an important consequence of stroke but there is limited information on the longer-term relationship between these conditions. To identify the prevalence, incidence and predictors of depression in a secondary-care-based cohort of stroke survivors aged over 75 years, from 3 months to up to 10 years post-stroke. Depression was assessed annually by three methods: major depression by DSM-IV criteria, the self-rated Geriatric Depression Scale (GDS) and the observer-rated Cornell scale. We found the highest rates, 31.7% baseline prevalence, of depressive symptoms with the GDS compared with 9.7% using the Cornell scale and 1.2% using DSM-IV criteria. Incidence rates were 36.9, 5.90 and 4.18 episodes per 100 person years respectively. Baseline GDS score was the most consistent predictor of depressive symptoms at all time points in both univariate and multivariate analyses. Other predictors included cognitive impairment, impaired activities of daily living and in the early period, vascular risk factor burden and dementia. Our results emphasise the importance of psychiatric follow-up for those with early-onset post-stroke depression and long-term monitoring of mood in people who have had a stroke and remain at high risk of depression.
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Profile and predictors of global distress: can the DT guide nursing practice in prostate cancer?
Lotfi-Jam, Kerryann; Gough, Karla; Schofield, Penelope; Aranda, Sanchia
2014-02-01
This study examines the ability of the distress thermometer to accurately identify patients with higher symptoms, unmet needs and psychological morbidity. Baseline data collected as part of a randomized controlled trial evaluating a nurse-led supportive care intervention for men with prostate cancer commencing radiotherapy at a specialist cancer hospital in Melbourne, Australia. Measures assessed global distress (DT), anxious and depressive symptomatology (HADS), prostate-cancer specific quality of life (EPIC-26), unmet supportive care needs (SCNS-SF34R) and cancer treatment-related concerns (CATS). Following descriptive and correlational analysis, hierarchical multiple regression was employed to examine the contribution of variable sets to explaining variance in DT scores. Less than 20% of men reported DT scores of 4 or higher, indicating overall low distress. The DT accurately identified almost all men reporting HADS score indicative of anxious or depressive symptomatology, suggesting it accurately identifies psychological morbidity. Importantly, the DT identified a further group of distressed men, not identified by HADS, whose distress related to unmet needs and prostate cancer-specific issues, indicating the DT is superior in identifying other forms of distress. While the hierarchical multiple regression confirmed anxious and depressive symptomatology as the best predictor of distress score, many other scales are also good predictors of DT scores, supporting the argument that distress is multi-determined. Nurses can be confident that the DT accurately identifies patients with psychological morbidity and importantly identifies other patients with distress who may require intervention. A distress score of 4 or higher identified participants with higher physical symptomatology, higher unmet needs, more concerns about treatment and poorer quality of life. The low prevalence of distress reaching cut off scores suggests nurses would not be overwhelmed by the outcomes
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Predictors of monoterpene exposure in the Danish furniture industry.
Hagström, Katja; Jacobsen, Gitte; Sigsgaard, Torben; Schaumburg, Inger; Erlandsen, Mogens; Schlunssen, Vivi
2012-04-01
Individuals who work with pine in the furniture industry may be exposed to monoterpenes, the most abundant of which are α-pinene, β-pinene, and Δ(3)-carene. Monoterpenes are suspected to cause dermatitis and to harm the respiratory system. An understanding of the predictors of monoterpene exposure is therefore important in preventing these adverse effects. These predictors may include general characteristics of the work environment and specific work operations. We sought to assess the extent to which workers are exposed to monoterpenes and to identify possible predictors of monoterpene exposure in the pine furniture industry in Denmark. Passive measurements of the levels of selected monoterpenes (α-pinene, β-pinene, and Δ(3)-carene) were performed on 161 subjects from 17 pine furniture factories in Viborg County, Denmark; one sample was acquired from each worker. Additionally, wood dust samples were collected from 145 workers. Data on potential predictors of exposure were acquired over the course of the day on which the exposure measurements were recorded and could be assigned to one of four hierarchic ordered levels: worker, machine, department, and factory. In addition to univariate analyses, a mixed model was used to account for imbalances within the data and random variation with each of the hierarchically ordered levels. The geometric mean (GM) monoterpene content observed over the 161 measurements was 7.8 mg m(-3) [geometric standard deviation (GSD): 2.4]; the GM wood dust level over 145 measurements was 0.58 mg m(-3) (GSD: 1.49). None of the measured samples exceeded the occupational exposure limit for terpenes in Denmark (25 ppm, 150 mg m(-3)). In the univariate analyses, half of the predictors tested were found to be significant; the multivariate model indicated that only three of the potential predictors were significant. These were the recirculation of air in rooms used for the processing of wood (a factory level predictor), the presence of a
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Predictors of maternal vaccination in the United States: An integrative review of the literature.
Myers, Kristen L
2016-07-25
The purpose of this literature review was to identify, analyze, and synthesize existing research related to patient, provider, and health system predictors of maternal vaccination in the United States, strategies used to increase maternal vaccination rates, and major theoretical frameworks used to guide maternal vaccination research. A search for evidence was conducted in CINAHL, PubMed, PsychINFO, Cochrane Systematic Reviews, and Google Scholar. Twenty-two articles were identified as best evidence for inclusion in this review: five randomized control trials, one cluster randomized trial, one mixed methods study, 12 observational studies, and three qualitative studies. Patient-focused predictors of maternal vaccination included provider recommendation; knowledge, attitudes, and beliefs; cues to action; and race and ethnicity. Provider-focused predictors included knowledge, attitudes, and beliefs; and multi-component intervention packages. Health system predictors included standing order protocols and practice site logistics. The major theoretical frameworks that emerged were the Health Belief Model, Theory of Reasoned Action/Theory of Planned Behavior, and Message Framing/Prospect Theory. Provider recommendation was the single most important predictor of vaccine acceptance among pregnant women. An abundance of theoretically-supported, patient-focused research was found in the literature. A minimal number of U.S.-based, provider-focused research was found and none of these used a theoretical framework. Minimal research examining health system barriers to maternal vaccination was found. Additional research into the logistical barriers to maternal vaccination programs within obstetrical practice locations in other geographical locations within the U.S. is warranted. Future provider- and health system-focused research needs to be grounded in theory. The field of implementation science may offer the theoretical guidance necessary to better understand problems in
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Chen, Chien-Min; Ke, Yen-Liang
2016-02-01
One-third of the acute stroke patients in Taiwan receive rehabilitation. It is imperative for clinicians who care for acute stroke patients undergoing inpatient rehabilitation to identify which medical factors could be the predictors of the total medical costs. The aim of this study was to identify the most important predictors of the total medical costs for first-time hemorrhagic stroke patients transferred to inpatient rehabilitation using a retrospective design. All data were retrospectively collected from July 2002 to June 2012 from a regional hospital in Taiwan. A stepwise multivariate linear regression analysis was used to identify the most important predictors for the total medical costs. The medical records of 237 patients (137 males and 100 females) were reviewed. The mean total medical cost per patient was United States dollar (USD) 5939.5 ± 3578.5.The following were the significant predictors for the total medical costs: impaired consciousness [coefficient (B), 1075.7; 95% confidence interval (CI) = 138.5-2012.9], dysphagia [coefficient (B), 1025.8; 95% CI = 193.9-1857.8], number of surgeries [coefficient (B), 796.4; 95% CI = 316.0-1276.7], pneumonia in the neurosurgery ward [coefficient (B), 2330.1; 95% CI = 1339.5-3320.7], symptomatic urinary tract infection (UTI) in the rehabilitation ward [coefficient (B), 1138.7; 95% CI = 221.6-2055.7], and rehabilitation ward stay [coefficient (B), 64.9; 95% CI = 31.2-98.7] (R(2) = 0.387). Our findings could help clinicians to understand that cost reduction may be achieved by minimizing complications (pneumonia and UTI) in these patients.
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Borzouei, Shiva; Soltanian, Ali Reza
2018-01-01
To identify the most important demographic risk factors for a diagnosis of type 2 diabetes mellitus (T2DM) using a neural network model. This study was conducted on a sample of 234 individuals, in whom T2DM was diagnosed using hemoglobin A1c levels. A multilayer perceptron artificial neural network was used to identify demographic risk factors for T2DM and their importance. The DeLong method was used to compare the models by fitting in sequential steps. Variables found to be significant at a level of pneural network modeling, only waist circumference (100.0%), age (78.5%), BMI (78.2%), hypertension (69.4%), stress (54.2%), smoking (49.3%), and a family history of T2DM (37.2%) were identified as predictors of the diagnosis of T2DM. In this study, waist circumference and age were the most important predictors of T2DM. Due to the sensitivity, specificity, and accuracy of the final model, it is suggested that these variables should be used for T2DM risk assessment in screening tests.
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Directory of Open Access Journals (Sweden)
Draganova Aneliya I.
2016-12-01
Full Text Available Chronic heart failure (CHF is a major health problem associated with increased mortality, despite modern treatment options. Central sleep apnea (CSA/Cheyne-Stokes breathing (CSB is a common and yet largely under-diagnosed co-morbidity, adding significantly to the poor prognosis in CHF because of a number of acute and chronic effects, including intermittent hypoxia, sympathetic overactivation, disturbed sleep architecture and impaired physical tolerance. It is characterized by repetitive periods of crescendo-decrescendo ventilatory pattern, alternating with central apneas and hypopneas. The pathogenesis of CSA/CSB is based on the concept of loop gain, comprising three major components: controller gain, plant gain and feedback gain. Laboratory polysomnography, being the golden standard for diagnosing sleep-disordered breathing (SDB at present, is a costly and highly specialized procedure unable to meet the vast diagnostic demand. Unlike obstructive sleep apnea, CSA/CSB has a low clinical profile. Therefore, a reliable predictive system is needed for identifying CHF patients who are most likely to suffer from CSA/CSB, optimizing polysomnography use. The candidate predictors should be standardized, easily accessible and low-priced in order to be applied in daily medical routine.
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Psychological predictors of weight loss after bariatric surgery
DEFF Research Database (Denmark)
Wimmelmann, Cathrine Lawaetz; Dela, Flemming; Mortensen, Erik Lykke
2014-01-01
factors are thought to play animportant role for maintaining the surgical weight loss. However, results from priorresearch examining preoperative psychological predictors of weight loss outcomeare inconsistent. The aim of this article was to review more recent literature onpsychological predictors...... studies published after 2003 were included.Results: 19 eligible studies were identified. Psychological predictors of surgicalweight loss investigated in the reviewed studies include cognitive function, per-sonality, psychiatric disorder, and eating behaviour.......Background: Morbid obesity is the fastest growing BMI group in the U.S. and the prevalence of morbid obesity worldwide has never been higher. Bariatric surgery is the most effective treatment for severe forms of obesity especially with regardto a sustained long-term weight loss. Psychological...
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Study of a methodology of identifying important research problems by the PIRT process
International Nuclear Information System (INIS)
Aoki, Takayuki; Takagi, Toshiyuki; Urayama, Ryoichi; Komura, Ichiro; Furukawa, Takashi; Yusa, Noritaka
2014-01-01
In this paper, we propose a new methodology of identifying important research problems to be solved to improve the performance of some specific scientific technologies by the phenomena identification and ranking table (PIRT) process which has been used as a methodology for demonstrating the validity of the best estimate simulation codes in US Nuclear Regulatory Commission (USNRC) licensing of nuclear power plants. The new methodology makes it possible to identify important factors affecting the performance of the technologies from the viewpoint of the figure of merit and problems associated with them while it keeps the fundamental concepts of the original PIRT process. Also in this paper, we demonstrate the effectiveness of the new methodology by applying it to a task of extracting research problems for improving an inspection accuracy of ultrasonic testing or eddy current testing in the inspection of objects having cracks due to fatigue or stress corrosion cracking. (author)
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Study of a methodology of identifying important research problems by the PIRT process
International Nuclear Information System (INIS)
Aoki, Takayuki; Takagi, Toshiyuki; Urayama, Ryoichi; Komura, Ichiro; Furukawa, Takashi; Yusa, Noritaka
2013-01-01
In this paper, we propose a new methodology of identifying important research problems to be solved to improve the performance of some specific scientific technologies by the phenomena identification and ranking table (PIRT) process, which has been used as a methodology for demonstrating the validity of the best estimate simulation codes in USNRC licensing of nuclear power plants. It keeps the fundamental concepts of the original PIRT process but makes it possible to identify important factors affecting the performance of the technologies from the viewpoint of the figure of merit and problems associated with them, which need to be solved to improve the performance. Also in this paper, we demonstrate the effectiveness of the developed method by showing a specific example of the application to physical events or phenomena in objects having fatigue or SCC crack(s) under ultrasonic testing and eddy current testing. (author)
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Statistical Analyses of Scatterplots to Identify Important Factors in Large-Scale Simulations
Energy Technology Data Exchange (ETDEWEB)
Kleijnen, J.P.C.; Helton, J.C.
1999-04-01
The robustness of procedures for identifying patterns in scatterplots generated in Monte Carlo sensitivity analyses is investigated. These procedures are based on attempts to detect increasingly complex patterns in the scatterplots under consideration and involve the identification of (1) linear relationships with correlation coefficients, (2) monotonic relationships with rank correlation coefficients, (3) trends in central tendency as defined by means, medians and the Kruskal-Wallis statistic, (4) trends in variability as defined by variances and interquartile ranges, and (5) deviations from randomness as defined by the chi-square statistic. The following two topics related to the robustness of these procedures are considered for a sequence of example analyses with a large model for two-phase fluid flow: the presence of Type I and Type II errors, and the stability of results obtained with independent Latin hypercube samples. Observations from analysis include: (1) Type I errors are unavoidable, (2) Type II errors can occur when inappropriate analysis procedures are used, (3) physical explanations should always be sought for why statistical procedures identify variables as being important, and (4) the identification of important variables tends to be stable for independent Latin hypercube samples.
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Psychological predictors of mental health and health-related quality of life after bariatric surgery
DEFF Research Database (Denmark)
Wimmelmann, Cathrine Lawaetz; Dela, Flemming; Mortensen, Erik Lykke
2014-01-01
of pre-surgical psychological factors on mental wellbeing after surgery is unclear. The aim of the current article therefore is to review recent research investigating psychological predictors of mental health and HRQOL outcome. METHODS: We searched PubMed, PsycInfo and Web of Science for studies...... investigating psychological predictors of either mental health or HRQOL after bariatric surgery. Original prospective studies published between 2003 and 2012 with a sample size >30 and a minimum of 1 year follow-up were included. RESULTS: Only 10 eligible studies were identified. The findings suggest......BACKGROUND: Improvement of mental health and health-related quality of life (HRQOL) is an important success criterion for bariatric surgery. In general, mental health and HRQOL improve after surgery, but some patients experience negative psychological reactions postoperatively and the influence...
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Predicting the importance of current papers.
Energy Technology Data Exchange (ETDEWEB)
Klavans, Richard (SciTech Strategies, Inc., Berwyn, PA); Boyack, Kevin W.
2005-01-01
This article examines how well one can predict the importance of a current paper (a paper that is recently published in the literature). We look at three factors--journal importance, reference importance and author reputation. Citation-based measures of importance are used for all variables. We find that journal importance is the best predictor (explaining 22.3% out of a potential 29.1% of the variance in the data), and that this correlation value varies significantly by discipline. Journal importance is a better predictor of citation in Computer Science than in any other discipline. While the finding supports the present policy of using journal impact statistics as a surrogate for the importance of current papers, it calls into question the present policy of equally weighting current documents in text-based analyses. We suggest that future researchers take into account the expected importance of a document when attempting to describe the cognitive structure of a field.
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Salient Predictors of School Dropout among Secondary Students with Learning Disabilities
Doren, Bonnie; Murray, Christopher; Gau, Jeff M.
2014-01-01
The purpose of this study was to identify the unique contributions of a comprehensive set of predictors and the most salient predictors of school dropout among a nationally representative sample of students with learning disabilities (LD). A comprehensive set of theoretically and empirically relevant factors was selected for examination. Analyses…
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Reflex Cough and Disease Duration as Predictors of Swallowing Dysfunction in Parkinson's Disease.
Troche, Michelle S; Schumann, Beate; Brandimore, Alexandra E; Okun, Michael S; Hegland, Karen W
2016-12-01
Patients with Parkinson's disease (PD) have progressive and pervasive disorders of airway protection. Recent work has highlighted the relationship between reflex and voluntary cough and swallowing safety. The goal of this study was to test the sensitivity and specificity of several airway protective and disease-specific factors for predicting swallowing safety outcomes in PD. Sixty-four participants (44 males) completed measures of voluntary and reflex cough, and swallowing safety. Clinical predictors included disease severity and duration, and cough airflow and sensitivity measures. ROC and Chi-square analyses identified predictors of swallowing safety (penetration-aspiration score) in PD. Disease duration significantly discriminated between patients with normal and abnormal swallowing safety (p = 0.027, sensitivity: 71 %, specificity: 55.4 %). Cough reflex sensitivity significantly discriminated between patients who penetrated above the level of the vocal folds and those with more severe penetration/aspiration (p = 0.021, sensitivity: 71.0 %, specificity 57.6 %). Urge-to-cough sensitivity (log-log linear slope) was the only variable which significantly discriminated between patients with penetration versus aspiration (p = 0.017, sensitivity: 85.7 %, specificity 73.2 %). It is important to identify the factors which influence airway protective outcomes in PD especially given that aspiration pneumonia is a leading cause of death. Results from this study highlight the ecological validity of reflex cough in the study of airway protection and this study further identifies important factors to consider in the screening of airway protective deficits in PD.
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Predictors and prognostic value of left atrial remodelling after acute myocardial infarction
DEFF Research Database (Denmark)
Kyhl, Kasper; Vejlstrup, Niels; Lønborg, Jacob
2015-01-01
PURPOSE: Left atrial (LA) volume is a strong prognostic predictor in patients following ST-segment elevation myocardial infarction (STEMI). However, the change in LA volume over time (LA remodelling) following STEMI has been scarcely studied. We sought to identify predictors for LA remodelling an...
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Predictors of Longitudinal Quality of Life in Juvenile Localized Scleroderma.
Ardalan, Kaveh; Zigler, Christina K; Torok, Kathryn S
2017-07-01
Localized scleroderma can negatively affect children's quality of life (QoL), but predictors of impact have not been well described. We sought to identify predictors of QoL impact in juvenile localized scleroderma patients. We analyzed longitudinal data from a single-center cohort of juvenile localized scleroderma patients, using hierarchical generalized linear modeling (HGLM) to identify predictors of QoL impact. HGLM is useful for nested data and allows for evaluation of both time-variant and time-invariant predictors. The number of extracutaneous manifestations (ECMs; e.g., joint contracture and hemifacial atrophy) and female sex predicted negative QoL impact, defined as a Children's Dermatology Life Quality Index score >1 (P = 0.019 for ECMs and P = 0.002 for female sex). As the time since the initial visit increased, the odds of reporting a negative QoL impact decreased (P scleroderma than cutaneous features. Further study is required to determine which ECMs have the most impact on QoL, which factors underlie sex differences in QoL in localized scleroderma, and why increasing the time since the initial visit appears to be protective. An improved understanding of predictors of QoL impact may allow for the identification of patients at risk of poorer outcomes and for the tailoring of treatment and psychosocial support. © 2016, American College of Rheumatology.
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Xenidou-Dervou, Iro; Van Luit, Johannes E H; Kroesbergen, Evelyn H; Friso-van den Bos, Ilona; Jonkman, Lisa M; van der Schoot, Menno; van Lieshout, Ernest C D M
2018-01-01
Research has identified various domain-general and domain-specific cognitive abilities as predictors of children's individual differences in mathematics achievement. However, research into the predictors of children's individual growth rates, namely between-person differences in within-person change
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McIntyre, Jason C; Worsley, Joanne; Corcoran, Rhiannon; Harrison Woods, Paula; Bentall, Richard P
2018-06-01
University students experience high rates of stress and mental illness; however, few studies have comprehensively examined the impact of academic and non-academic stressors on student mental health. Similarly, there has been little focus on the role of social groups in protecting against mental distress in this young adult group. To identify the key social determinants of mental health symptoms in a student population. Using an online survey, we administered measures of social connectedness and mental health symptoms alongside academic and non-academic stressors to a large sample of UK university students. Loneliness was the strongest overall predictor of mental distress, while assessment stress was the most important academic predictor. Strong identification with university friendship groups was most protective against distress relative to other social identities, and the beneficial impact of identification on symptoms was mediated by reduced loneliness. The study highlights the benefits of establishing strong social connections at university and the importance of minimising stress associated with assessment tasks.
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Predictors of third and Higher order births in India
Directory of Open Access Journals (Sweden)
Payal Singh
2015-12-01
Full Text Available Background: Total fertility rate (TFR reflecting population growth is closely related to higher order parity progression. Many Indian states reached replacement level of TFR, but still states constituting nearly 40% population are with TFR ≥ 3. The predictors are the desire of son’s, poor contraceptives practices, younger age at marriage, child loss and shorter birth spacing. Objective: This analysis assessed the degree of relation of 3rd and higher order parity progression with the above mentioned predictors. Material and Methods: State/Union Territories wise proportions of women: progressing to ≥3 births, more sons desire, birth spacing <24 months, adopting modern contraception and median marriage age <18 years along with infant mortality rate (IMR were taken from NFHS-III report. Correlation matrix and stepwise forward multiple regression carried. Significance was seen at 5%. Results: Hindi speaking states constituting 38.92% nation population recorded TFR ≥3. Positive correlation of mothers progressing ≥ 3 births was highest (0.746 with those desiring more sons followed by IMR (0.445; while maximum negative correlation with those practicing modern contraceptives (-0.565 followed by median age at marriage (-0.391. Multiple regression analysis in order identified desire of more sons, practicing modern contraception and shorter birth spacing as the significant predictors and jointly explained 77.9% of the total variation with gain of 15.5% by adding modern contraceptive practice and 8.3% by adding shorter birth spacing. Conclusions: Desire of more sons appeared the most important predictor to progress ≥3 births that is governed by society culture and educational attainment, require attitudinal change. Further, mothers need motivation to practice both spacing and terminal methods once family is complete.
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Identifying a borderline personality disorder prodrome: Implications for community screening.
Stepp, Stephanie D; Lazarus, Sophie A
2017-08-01
Elucidating early signs and symptoms of borderline personality disorder (BPD) has important implications for screening and identifying youth appropriate for early intervention. The purpose of this study was to identify dimensions of child temperament and psychopathology symptom severity that predict conversion to a positive screen for BPD over a 14-year follow-up period in a large, urban community sample of girls (n = 2 450). Parent and teacher reports of child temperament and psychopathology symptom severity assessed when girls were ages 5-8 years were examined as predictors of new-onset BPD cases when girls were ages 14-22 years. In the final model, parent and teacher ratings of emotionality remained significant predictors of new-onset BPD. Additionally, parent ratings of hyperactivity/impulsivity and depression severity, as well as teacher ratings of inattention severity, were also predictive. Results also revealed that elevations in these dimensions pose a notable increase in risk for conversion to BPD over the follow-up period. Supplementary analyses revealed that with the exception of parent-reported depression severity, these same predictors were associated with increases in BPD symptom severity over the follow-up period. These findings suggest BPD onset in adolescence and early adulthood can be detected from parent and teacher reports of temperament and symptom severity dimensions assessed in childhood. The identification of this prodrome holds promise for advancing early detection of children at risk prior to the development of the full-blown disorder. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.
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Sociodemographic predictors of elderly's psychological well-being in Malaysia.
Momtaz, Yadollah A; Ibrahim, Rahimah; Hamid, Tengku A; Yahaya, Nurizan
2011-05-01
Psychological well-being as one of the most important indicators of successful aging has received substantial attention in the gerontological literature. Prior studies show that sociodemographic factors influencing elderly's psychological well-being are multiple and differ across cultures. The aim of this study was to identify significant sociodemographic predictors of psychological well-being among Malay elders. The study included 1415 older Malays (60-100 years, 722 women), randomly selected through a multistage stratified random method from Peninsular Malaysia. WHO-Five well-being index was used to measure psychological well-being. Data analysis was conducted using the Statistical Package for Social Sciences (SPSS) version 13.0. Using multiple regression analysis a significant model emerged (F(7, 1407) = 20.14, p ≤ 0.001), where age, sex, marital status, and household income were significant predictor variables of psychological well-being among Malay elders. However, level of education, employment status, and place of residence failed to predict psychological well-being. This study showed that the oldest old, elderly women, unmarried, and the poor elderly people are at risk for experiencing low psychological well-being. Therefore, they need special attention from family, policy makers, and those who work with elderly people.
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Predictor variable resolution governs modeled soil types
Soil mapping identifies different soil types by compressing a unique suite of spatial patterns and processes across multiple spatial scales. It can be quite difficult to quantify spatial patterns of soil properties with remotely sensed predictor variables. More specifically, matching the right scale...
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Nilsen, Vegard; Bakke, Per Sigvald; Rohde, Gudrun; Gallefoss, Frode
2014-11-01
To assess health-related quality of life (HRQOL) of subjects at risk of type 2 diabetes undergoing lifestyle intervention, and predictors for improved HRQOL. The Finnish Diabetes Risk Score was used by general practitioners to identify individuals at risk. Low-intensity interventions with an 18-month follow-up were employed. HRQOL was assessed using the SF-36 at baseline and compared with results from a general Norwegian population survey and further at 6 and 18 months. Simple and multiple linear regression analyses were applied to identify predictors of changes in HRQOL of clinical importance. Two hundred and thirteen participants (50 % women; mean age: 46 years, mean body mass index: 37) were included: 182 returned for 18-month follow-up, of whom 172 completed the HRQOL questionnaire. HRQOL was reduced with clinical significance compared with general Norwegians. The mean changes in HRQOL from the baseline to the follow-up were not of clinical importance. However, one out of three individuals achieved a moderate or large clinical improvement in HRQOL. The best determinant for improved HRQOL was obtained for a composite, clinically significant lifestyle change, i.e. both a weight reduction of at least 5 % and an improvement in exercise capacity of at least 10 %, which was associated with an improvement in five out of the eight SF-36 domains. Subjects at risk of type 2 diabetes report a clinically important reduction in HRQOL compared with general Norwegians. The best predictor of improved HRQOL was a small weight loss combined with a small improvement in aerobic capacity.
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Tunick, Roy H.; And Others
1979-01-01
This study identifies predictors and correlates of attitudes toward the disabled. Authoritarianism, church attendance, religious orthodoxy, age, and education were significantly related to these attitudes of people in a Rocky Mountain Community. Significant predictors of the criterion were authoritarianism, religiosity, and age. Recommendations…
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Predictors of subjective health status 10 years post-PCI.
van den Berge, Jan C; Dulfer, Karolijn; Utens, Elisabeth M W J; Hartman, Eline M J; Daemen, Joost; van Geuns, Robert J; van Domburg, Ron T
2016-06-01
Subjective health status is an increasingly important parameter to assess the effect of percutaneous coronary intervention (PCI) in clinical practice. Aim of this study was to determine medical and psychosocial predictors of poor subjective health status over a 10 years' post-PCI period. We included a series of consecutive PCI patients (n = 573) as part of the RESEARCH registry, a Dutch single-center retrospective cohort study. These patients completed the 36-item Short-Form Health Survey (SF-36) at baseline and 10 years post-PCI. We found 6 predictors of poor subjective health status 10 years post-PCI: SF-36 at baseline, age, previous PCI, obesity, acute myocardial infarction as indication for PCI, and diabetes mellitus (arranged from most to least numbers of sub domains). SF-36 scores at baseline, age, and previous PCI were significant predictors of subjective health status 10 years post-PCI. Specifically, the SF-36 score at baseline was an important predictor. Thus assessment of subjective health status at baseline is useful as an indicator to predict long-term subjective health status. Subjective health status becomes better by optimal medical treatment, cardiac rehabilitation and psychosocial support. This is the first study determining predictors of subjective health status 10 years post-PCI.
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Developmental trajectories of paediatric headache - sex-specific analyses and predictors.
Isensee, Corinna; Fernandez Castelao, Carolin; Kröner-Herwig, Birgit
2016-01-01
Headache is the most common pain disorder in children and adolescents and is associated with diverse dysfunctions and psychological symptoms. Several studies evidenced sex-specific differences in headache frequency. Until now no study exists that examined sex-specific patterns of change in paediatric headache across time and included pain-related somatic and (socio-)psychological predictors. Latent Class Growth Analysis (LCGA) was used in order to identify different trajectory classes of headache across four annual time points in a population-based sample (n = 3 227; mean age 11.34 years; 51.2 % girls). In multinomial logistic regression analyses the influence of several predictors on the class membership was examined. For girls, a four-class model was identified as the best fitting model. While the majority of girls reported no (30.5 %) or moderate headache frequencies (32.5 %) across time, one class with a high level of headache days (20.8 %) and a class with an increasing headache frequency across time (16.2 %) were identified. For boys a two class model with a 'no headache class' (48.6 %) and 'moderate headache class' (51.4 %) showed the best model fit. Regarding logistic regression analyses, migraine and parental headache proved to be stable predictors across sexes. Depression/anxiety was a significant predictor for all pain classes in girls. Life events, dysfunctional stress coping and school burden were also able to differentiate at least between some classes in both sexes. The identified trajectories reflect sex-specific differences in paediatric headache, as seen in the number and type of classes extracted. The documented risk factors can deliver ideas for preventive actions and considerations for treatment programmes.
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Miranda, Susan Jennifer
A mixed methods approach was used to identify factors that influence the underrepresentation of Latinos in the domain of science. The researcher investigated the role of family influences, academic preparation, and personal motivations to determine science-related career choices by Latinos. Binary logistic regression analyses were conducted using information from Latinos gathered from the National Education Longitudinal Study of 1988 (NELS: 88) administered by the National Center for Education Statistics. For the present study, data were analyzed using participants' responses as high school seniors, college students, and post-baccalaureates. Students responded to questions on school, work, parental academic influences, personal aspirations, and self-perception. To provide more insight into the experiences of Latinos in science and support the statistical analyses, nine students majoring in science in a private, urban university located in the northeastern part of the country were interviewed. Eleven variables related to parents' academic support and students' perceptions of parental support were taken together as predictors for two separate criteria from the survey. These results identified parents' level of education and the importance of academics to parents in their teen's college choice as significant predictors in determining college major in science. When the criterion was degree in science, the significant predictor was the frequency parents contacted high school as volunteers. Student interviews supported this information, demonstrating the importance of parental support in attaining a degree in science. Academic preparation was also analyzed. Students' reasons for taking science classes in high school was a significant predictor for science major; significant predictors for science degree were the emphasis placed on objectives in math and science classes and number of courses in biology and physics. Student interviews supported this information and
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Predictors of smoking among male college students in Saudi Arabia.
Almogbel, Y S; Abughosh, S M; Almogbel, F S; Alhaidar, I A; Sansgiry, S S
2013-11-01
Identifying the predictors of smoking in one of the top cigarette-consuming countries in the world is a vital step in smoking prevention. A cross-sectional study assessed the predictors of smoking in a cohort of male students in 3 universities in Saudi Arabia. A pre-tested, validated questionnaire was used to determine sociodemographic characteristics, academic performance, peers' smoking, and presence of a smoker within the family. Of the 337 participants, 30.9% were current smokers (smoked 1 or more cigarettes within the last 30 days). Lower academic performance (OR = 2.29, 95% CI: 1.02-5.17), peer smoking (OR = 4.14, 95% CI: 1.53-11.3) and presence of other smokers in the family (OR = 2.77, 95% CI: 1.37-5.64) were the significant predictors of smoking status identified using multiple logistic regression analysis. These findings highlight the influence of family and peer pressure in initiating cigarette use among the youth of Saudi Arabia.
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Predictors of suicidal ideation in older people: a decision tree analysis.
Handley, Tonelle E; Hiles, Sarah A; Inder, Kerry J; Kay-Lambkin, Frances J; Kelly, Brian J; Lewin, Terry J; McEvoy, Mark; Peel, Roseanne; Attia, John R
2014-11-01
Suicide among older adults is a major public health issue worldwide. Although studies have identified psychological, physical, and social contributors to suicidal thoughts in older adults, few have explored the specific interactions between these factors. This article used a novel statistical approach to explore predictors of suicidal ideation in a community-based sample of older adults. Prospective cohort study. Participants aged 55-85 years were randomly selected from the Hunter Region, a large regional center in New South Wales, Australia. Baseline psychological, physical, and social factors, including psychological distress, physical functioning, and social support, were used to predict suicidal ideation at the 5-year follow-up. Classification and regression tree modeling was used to determine specific risk profiles for participants depending on their individual well-being in each of these key areas. Psychological distress was the strongest predictor, with 25% of people with high distress reporting suicidal ideation. Within high psychological distress, lower physical functioning significantly increased the likelihood of suicidal ideation, with high distress and low functioning being associated with ideation in 50% of cases. A substantial subgroup reported suicidal ideation in the absence of psychological distress; dissatisfaction with social support was the most important predictor among this group. The performance of the model was high (area under the curve: 0.81). Decision tree modeling enabled individualized "risk" profiles for suicidal ideation to be determined. Although psychological factors are important for predicting suicidal ideation, both physical and social factors significantly improved the predictive ability of the model. Assessing these factors may enhance identification of older people at risk of suicidal ideation. Copyright © 2014. Published by Elsevier Inc.
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Benchmark data for identifying N6-methyladenosine sites in the Saccharomyces cerevisiae genome
Directory of Open Access Journals (Sweden)
Wei Chen
2015-12-01
Full Text Available This data article contains the benchmark dataset for training and testing iRNA-Methyl, a web-server predictor for identifying N6-methyladenosine sites in RNA (Chen et al., 2015 [15]. It can also be used to develop other predictors for identifying N6-methyladenosine sites in the Saccharomyces cerevisiae genome.
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DEFF Research Database (Denmark)
Kragh, Mette; Roj Larsen, Erik; Martiny, Klaus
2018-01-01
There is growing evidence for combined chronotherapeutic interventions as adjunctive treatments for major depression. However, as the treatments can be demanding, we need to identify predictors of response. This study aimed to describe predictors of response, remission and deterioration in the sh......There is growing evidence for combined chronotherapeutic interventions as adjunctive treatments for major depression. However, as the treatments can be demanding, we need to identify predictors of response. This study aimed to describe predictors of response, remission and deterioration...... in the short-term phase, as well as predictors of long-term response. The predictors investigated were gender, type of depression, severity of depression, treatment resistance, quetiapine use, general self-efficacy, educational level and positive diurnal variation. Follow-up data from 27 inpatients...... with moderate-to-severe depression participating in a chronotherapeutic intervention were analysed. As a supplement to standard treatment, they completed 3 wake therapy sessions in the first week, 30 min daily light treatment and sleep-time stabilisation in the entire 9-week study period. Patients had...
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Psychological predictors of weight loss after bariatric surgery: a review of the recent research.
Wimmelmann, Cathrine L; Dela, Flemming; Mortensen, Erik L
2014-01-01
Morbid obesity is the fastest growing BMI group in the U.S. and the prevalence of morbid obesity worldwide has never been higher. Bariatric surgery is the most effective treatment for severe forms of obesity especially with regard to a sustained long-term weight loss. Psychological factors are thought to play an important role for maintaining the surgical weight loss. However, results from prior research examining preoperative psychological predictors of weight loss outcome are inconsistent. The aim of this article was to review more recent literature on psychological predictors of surgical weight loss. We searched PubMed, PsycInfo and Web of Science, for original prospective studies with a sample size >30 and at least one year follow-up, using a combination of search terms such as 'bariatric surgery', 'morbid obesity', 'psychological predictors', and 'weight loss'. Only studies published after 2003 were included. 19 eligible studies were identified. Psychological predictors of surgical weight loss investigated in the reviewed studies include cognitive function, personality, psychiatric disorder, and eating behaviour. In general, recent research remains inconsistent, but the findings suggest that pre-surgical cognitive function, personality, mental health, composite psychological variables and binge eating may predict post-surgical weight loss to the extent that these factors influence post-operative eating behaviour. Copyright © 2013 Asian Oceanian Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.
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DEFF Research Database (Denmark)
Lukas, Manuel; Hillebrand, Eric
Relations between economic variables can often not be exploited for forecasting, suggesting that predictors are weak in the sense that estimation uncertainty is larger than bias from ignoring the relation. In this paper, we propose a novel bagging predictor designed for such weak predictor variab...
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van Herpen, Sanne G.A.; Meeuwisse, Marieke; Hofman, W. H.Adriaan; Severiens, Sabine E.; Arends, Lidia R.
Given the large number of dropouts in the 1st year at university, it is important to identify early predictors of 1st-year academic success. The present study (n = 453 first-year students) contributes to literature on the transition from secondary to higher education by investigating how the
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Predictors of relationship satisfaction for men and women
Directory of Open Access Journals (Sweden)
Gaja Zager Kocjan
2014-06-01
Full Text Available The present study was designed to examine the differences between genders in the perception of romantic relationship as well as in aspects of the relationship that are important for their relationship satisfaction. However, previous studies rarely report significant differences between genders in various predictors of the relationship satisfaction. In our study, similar conclusions were obtained. Relationship satisfaction was predicted with attachment, self-esteem, and partner's social support. The study included 200 participants (63.5% of women who completed the following questionnaires: Experience in Close Relationships – Revised Short ECR-RS, Quality of Relationship Inventory QRI, Relationship Satisfaction Scale RSS, and a single-item self-esteem measure. For both genders, significant positive predictor of their relationship satisfaction was self-esteem, while avoidance, anxiety, and conflict in the relationship were significant negative predictors. There were no significant differences between genders. These findings are consistent with the findings of previous studies, which rarely report significant gender differences in the various predictors.
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Directory of Open Access Journals (Sweden)
Linda Blignaut
2014-10-01
Research purpose: The aim of the study was to identify personality traits, as measured by the Occupational Personality Questionnaire 32r (item response theory scored version, including the more parsimonious Big Five personality traits, that may act as job performance predictors for customer service centre (CSC agents in the banking industry. Motivation for the study: This study provides an exploratory investigation of whether specific personality traits differ amongst CSC agents in the banking industry, based on their job performance. No published research in this field could be identified. Research design, approach and method: Purposive sampling was used to collect data from the entire CSC agent base of a particular banking group (N = 89. Responses were analysed by means of quantitative techniques. Main findings and practical/managerial implications: Results indicate that parsimonious traits of personality, expressed as the Big Five personality traits, predict job performance. The importance of carefully selecting suitable job performance criteria for a specific environment, however, emerged as a critical issue in performance prediction. Contribution: The study focuses attention on the importance of CSC agents’ performance as frontline staff in the banking industry and identifying valid criteria for selecting the most suitable agents. Providing a one-contact point of service such as a CSC is a fairly new approach in the South African banking industry and this study provides an initial investigation of personality traits that may serve as job performance predictors in this environment.
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Directory of Open Access Journals (Sweden)
Lianne J Woodward
Full Text Available BACKGROUND: Cerebral white matter abnormalities on term MRI are a strong predictor of motor disability in children born very preterm. However, their contribution to cognitive impairment is less certain. OBJECTIVE: Examine relationships between the presence and severity of cerebral white matter abnormalities on neonatal MRI and a range of neurocognitive outcomes assessed at ages 4 and 6 years. DESIGN/METHODS: The study sample consisted of a regionally representative cohort of 104 very preterm (≤32 weeks gestation infants born from 1998-2000 and a comparison group of 107 full-term infants. At term equivalent, all preterm infants underwent a structural MRI scan that was analyzed qualitatively for the presence and severity of cerebral white matter abnormalities, including cysts, signal abnormalities, loss of white matter volume, ventriculomegaly, and corpus callosal thinning/myelination. At corrected ages 4 and 6 years, all children underwent a comprehensive neurodevelopmental assessment that included measures of general intellectual ability, language development, and executive functioning. RESULTS: At 4 and 6 years, very preterm children without cerebral white matter abnormalities showed no apparent neurocognitive impairments relative to their full-term peers on any of the domain specific measures of intelligence, language, and executive functioning. In contrast, children born very preterm with mild and moderate-to-severe white matter abnormalities were characterized by performance impairments across all measures and time points, with more severe cerebral abnormalities being associated with increased risks of cognitive impairment. These associations persisted after adjustment for gender, neonatal medical risk factors, and family social risk. CONCLUSIONS: Findings highlight the importance of cerebral white matter connectivity for later intact cognitive functioning amongst children born very preterm. Preterm born children without cerebral white
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Xenidou-Dervou, Iro; Van Luit, Johannes E H; Kroesbergen, Evelyn H; Friso-van den Bos, Ilona; Jonkman, Lisa M; van der Schoot, Menno; van Lieshout, Ernest C D M
2018-04-24
Research has identified various domain-general and domain-specific cognitive abilities as predictors of children's individual differences in mathematics achievement. However, research into the predictors of children's individual growth rates, namely between-person differences in within-person change in mathematics achievement is scarce. We assessed 334 children's domain-general and mathematics-specific early cognitive abilities and their general mathematics achievement longitudinally across four time-points within the first and second grades of primary school. As expected, a constellation of multiple cognitive abilities contributed to the children's starting level of mathematical success. Specifically, latent growth modeling revealed that WM abilities, IQ, counting skills, nonsymbolic and symbolic approximate arithmetic and comparison skills explained individual differences in the children's initial status on a curriculum-based general mathematics achievement test. Surprisingly, however, only one out of all the assessed cognitive abilities was a unique predictor of the children's individual growth rates in mathematics achievement: their performance in the symbolic approximate addition task. In this task, children were asked to estimate the sum of two large numbers and decide if this estimated sum was smaller or larger compared to a third number. Our findings demonstrate the importance of multiple domain-general and mathematics-specific cognitive skills for identifying children at risk of struggling with mathematics and highlight the significance of early approximate arithmetic skills for the development of one's mathematical success. We argue the need for more research focus on explaining children's individual growth rates in mathematics achievement. © 2018 John Wiley & Sons Ltd.
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Changes in Situational and Dispositional Factors as Predictors of Job Satisfaction
Keller, Anita C.; Semmer, Norbert K.
2013-01-01
Arguably, job satisfaction is one of the most important variables with regard to work. When explaining job satisfaction, research usually focuses on predictor variables in terms of levels but neglects growth rates. Therefore it remains unclear how potential predictors evolve over time and how their development affects job satisfaction. Using…
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Bayesian modeling of measurement error in predictor variables using item response theory
Fox, Gerardus J.A.; Glas, Cornelis A.W.
2000-01-01
This paper focuses on handling measurement error in predictor variables using item response theory (IRT). Measurement error is of great important in assessment of theoretical constructs, such as intelligence or the school climate. Measurement error is modeled by treating the predictors as unobserved
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Identify the Important Decision Factors of Online Shopping Adoption in Indonesia
Directory of Open Access Journals (Sweden)
Lailatul HIJRAH
2017-12-01
Full Text Available The objective of this study is to identify factors encouraging a consumer to engage in online shopping activities. The expected contribution of this study is for online entrepreneurs, in order to develop the most suitable business strategy, so that it will be clearly identified and sorted out which factors are the most important and the main motivation of Indonesian consumers to shop via online by using responses from respondents who usually shop online and offline in 3 cities in Indonesia, Jakarta, Surabaya and Samarinda. The research instruments were developed by conducting FGDs on relevant groups, either academics, online shopping activists, suppliers and courier businessmen in Jakarta, Surabaya and Samarinda Cities in effort to extract any information that encourages consumers to online shopping. After conducting FGD, the researcher produced 48 items proposed for factor analysis and after extracted to form eleven constructs, some items were removed because they had less loading factors. The eleven constructs or dimensions are trust, risk, consumer factors, website factors, price, service quality, convenience, subjective norm, product guarantee, variety of products and lifestyle. The implications of this study provide valuable insights about consumer decisions to online shopping or not online shopping.
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Reporting of adverse drug reactions: predictors of under-reporting in Malaysia.
Aziz, Zoriah; Siang, Tan Ching; Badarudin, Nurul Suhaida
2007-02-01
Malaysia like many other countries worldwide uses spontaneous reporting systems as a mean of collecting data on suspected adverse drug reaction (ADR). However, compared to other countries, which use the system, the reporting rate in Malaysia is very low. Why some physicians do not report ADRs is not well understood. To identify factors, which would predict physicians' failure to send ADR reports. Face-to-face interview using a structured questionnaire involving physicians working at the University of Malaya Medical Centre, Malaysia. About a third of the physicians in the Centre participated. Sixty-five of the 415 approached refused to participate. A high proportion of the respondents (81.4%) indicated that they had suspected an ADR but did not report it, while about 40% of the respondents were not aware of the existence of the national reporting system in Malaysia. Logistic regression modelling identified the variable 'ADR considered to be too trivial or too well known to report' as the strongest predictor of not reporting, followed by physicians' category and uncertainty that the reaction had been definitely caused by a drug. Important predictor variables, which limit physicians from reporting ADR in Malaysia, were related to uncertainty of types of reaction to report, lack of awareness about the existence, function and purpose of national ADR reporting. The findings could be useful for planning strategies to improve the reporting rate.
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The Importance of identifiers: IWGSC Meeting 20170720
Haak, Laurel
2017-01-01
Presentation by Laure Haak at the 20 July 2017 meeting of the IWGSC, about use of identifiers in connecting researchers, funding, facilities, and publications. Description of approach and initial results of User Facilities and Publications Working Group, and applications for Scientific Collections.
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Whittle, Rebecca; Peat, George; Belcher, John; Collins, Gary S; Riley, Richard D
2018-05-18
Measurement error in predictor variables may threaten the validity of clinical prediction models. We sought to evaluate the possible extent of the problem. A secondary objective was to examine whether predictors are measured at the intended moment of model use. A systematic search of Medline was used to identify a sample of articles reporting the development of a clinical prediction model published in 2015. After screening according to a predefined inclusion criteria, information on predictors, strategies to control for measurement error and intended moment of model use were extracted. Susceptibility to measurement error for each predictor was classified into low and high risk. Thirty-three studies were reviewed, including 151 different predictors in the final prediction models. Fifty-one (33.7%) predictors were categorised as high risk of error, however this was not accounted for in the model development. Only 8 (24.2%) studies explicitly stated the intended moment of model use and when the predictors were measured. Reporting of measurement error and intended moment of model use is poor in prediction model studies. There is a need to identify circumstances where ignoring measurement error in prediction models is consequential and whether accounting for the error will improve the predictions. Copyright © 2018. Published by Elsevier Inc.
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DEFF Research Database (Denmark)
Jakobsen, Marianne; Sodemann, Morten; Nylén, Gunnar
2003-01-01
To identify the population risk factors in emergency situations, we studied breastfeeding status as a predictor for child mortality during a war in Guinea-Bissau.......To identify the population risk factors in emergency situations, we studied breastfeeding status as a predictor for child mortality during a war in Guinea-Bissau....
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DeLuca, Joseph S; Vaccaro, John; Rudnik, Amalia; Graham, Nicole; Giannicchi, Anna; Yanos, Philip T
2017-08-01
Stigma toward general criminal offenders has been found to be particularly salient among community members who identify as politically conservative; however, less is known about how political identification relates to stigma toward sex offenders. This is a particularly important area of inquiry, given that criminal jurisprudence and politics legitimatize stigmatizing labels attributed to sex offenders through laws and policies that apply specifically to this group. A nonrandom sample ( N = 518) of participants living in the United States was recruited for this survey study. Findings indicated that a specific aspect of conservative political ideology-right-wing authoritarianism (RWA)-significantly predicts negative attitudes and intended social distancing behavior toward sex offenders, even when controlling for other important predictors, such as education and prior contact. RWA was found to be the strongest predictor of negative attitudes and estimations of sex offender recidivism, and also significantly predicted intended social distancing behavior. Implications for addressing stigma toward sex offenders are discussed.
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Predictors of fatigue and work ability in cancer survivors.
van Muijen, P; Duijts, S F A; Bonefaas-Groenewoud, K; van der Beek, A J; Anema, J R
2017-12-30
Workers diagnosed with cancer are at risk for job loss or work disability. To determine predictors of fatigue and work ability at 36 months after diagnosis in a population of cancer survivors. Individuals diagnosed with cancer and who applied for work disability benefit at 24 months of sick leave were surveyed at the time of application and again 12 months later. Fatigue was measured using the Functional Assessment of Chronic Illness-Fatigue scale questionnaire and work ability was measured using the work ability index. Linear regression analyses were applied to identify predictors. There were 336 participants. Participants who were divorced or widowed had more physical limitations, more depressive symptoms and were more fatigued at baseline, and who worked in health care demonstrated higher levels of fatigue. Lower fatigue was predicted by having received chemotherapy. A higher level of work ability was predicted by having received chemotherapy, better global health and better work ability at baseline. Lower work ability was predicted by being principal wage earner, insecurity about being free of disease, having more physical limitations and having greater wage loss. Socio-demographic, health- and work-related factors were associated with fatigue and work ability in cancer survivors on long-term sick leave. As fatigue and poor work ability are important risk factors for work disability, addressing the identified predictive factors may assist in mitigation of work disability in cancer survivors. © The Author 2017. Published by Oxford University Press on behalf of the Society of Occupational Medicine. All rights reserved. For Permissions, please email: journals.permissions@oup.com
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Fall predictors in older cancer patients: a multicenter prospective study
Vande Walle, Nathalie; Kenis, Cindy; Heeren, Pieter; Van Puyvelde, Katrien; Decoster, Lore; Beyer, Ingo; Conings, Godelieve; Flamaing, Johan; Lobelle, Jean-Pierre; Wildiers, Hans; Milisen, Koen
2014-01-01
Background In the older population falls are a common problem and a major cause of morbidity, mortality and functional decline. The etiology is often multifactorial making the identification of fall predictors essential for preventive measures. Despite this knowledge, data on falls within the older cancer population are limited. The objective of this study was to evaluate the occurrence of falls within 2 to 3?months after cancer treatment decision and to identify predictors of falls (?1 fall)...
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[Hepatobiliary System Diseases as the Predictors of Psoriasis Progression].
Smirnova, S V; Barilo, A A; Smolnikova, M V
2016-01-01
To assess the state of the hepatobiliary system in psoriasis andpsoriatic arthritis in order to establish a causal relationship and to identify clinical and functional predictors of psoriatic disease progression. The study includedpatients with extensive psoriasis vulgaris (n = 175) aged 18 to 66 years old and healthy donors (n = 30), matched by sex and age: Group 1--patients with psoriasis (PS, n = 77), group 2--patients with psoriatic arthritis (PsA, n = 98), group 3--control. The evaluation of functional state of the hepatobiliary system was performed by the analysis of the clinical and anamnestic data and by the laboratory-instrumental methods. We identified predictors of psoriasis: triggers (stress and nutritionalfactor), increased total bilirubin, aspartate aminotransferase, alkaline phosphatase, gamma-glutamyl transferase, eosinophilia, giardiasis, carriers of hepatitis C virus, ductal changes andfocal leisons in the liver, thickening of the walls of the gallbladder detected by ultrasound. Predictors ofpsoriatic arthritis: age over 50 years, dyspeptic complaints, the presence of hepatobiliary system diseases, the positive right hypochondrium syndrome, the clinical symptoms of chronic cholecystitis, excess body weight, high levels of bilirubin, cholesterol and low density lipoprotein, hepatomegaly, non-alcoholic fatty liver disease. High activity of hepatocytes cytolysis, cholestasis, inflammation, metabolic disorders let us considerpsoriatic arthritis as a severe clinical stage psoriatic disease when the hepatobiliary system, in turn, is one of the main target organs in systemic psoriatic process. Non-alcoholic fatty liver disease and chronic cholecystitis are predictors of psoriatic disease progression.
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DEFF Research Database (Denmark)
Zaretzki, J.; Bergeron, C.; Huang, T.-W.
2013-01-01
Regioselectivity-WebPredictor (RS-WebPredictor) is a server that predicts isozyme-specific cytochrome P450 (CYP)-mediated sites of metabolism (SOMs) on drug-like molecules. Predictions may be made for the promiscuous 2C9, 2D6 and 3A4 CYP isozymes, as well as CYPs 1A2, 2A6, 2B6, 2C8, 2C19 and 2E1....... RS-WebPredictor is the first freely accessible server that predicts the regioselectivity of the last six isozymes. Server execution time is fast, taking on average 2s to encode a submitted molecule and 1s to apply a given model, allowing for high-throughput use in lead optimization projects.......Availability: RS-WebPredictor is accessible for free use at http://reccr.chem.rpi.edu/ Software/RS-WebPredictor....
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Buijze, G A; Weening, A A; Poolman, R W; Bhandari, M; Ring, D
2012-02-01
Using inaccurate quotations can propagate misleading information, which might affect the management of patients. The aim of this study was to determine the predictors of quotation inaccuracy in the peer-reviewed orthopaedic literature related to the scaphoid. We randomly selected 100 papers from ten orthopaedic journals. All references were retrieved in full text when available or otherwise excluded. Two observers independently rated all quotations from the selected papers by comparing the claims made by the authors with the data and expressed opinions of the reference source. A statistical analysis determined which article-related factors were predictors of quotation inaccuracy. The mean total inaccuracy rate of the 3840 verified quotes was 7.6%. There was no correlation between the rate of inaccuracy and the impact factor of the journal. Multivariable analysis identified the journal and the type of study (clinical, biomechanical, methodological, case report or review) as important predictors of the total quotation inaccuracy rate. We concluded that inaccurate quotations in the peer-reviewed orthopaedic literature related to the scaphoid were common and slightly more so for certain journals and certain study types. Authors, reviewers and editorial staff play an important role in reducing this inaccuracy.
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Modified Smith-predictor multirate control utilizing secondary process measurements
Directory of Open Access Journals (Sweden)
Rolf Ergon
2007-01-01
Full Text Available The Smith-predictor is a well-known control structure for industrial time delay systems, where the basic idea is to estimate the non-delayed process output by use of a process model, and to use this estimate in an inner feedback control loop combined with an outer feedback loop based on the delayed estimation error. The model used may be either mechanistic or identified from input-output data. The paper discusses improvements of the Smith-predictor for systems where also secondary process measurements without time delay are available as a basis for the primary output estimation. The estimator may then be identified also in the common case with primary outputs sampled at a lower rate than the secondary outputs. A simulation example demonstrates the feasibility and advantages of the suggested control structure.
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Murrah, William M., III
The achievement score gaps between advantaged and disadvantaged children at school entry is a major problem in education today. Identifying the skills critical for school readiness is an important step in developing interventions aimed at addressing these score gaps. The purpose of this study is to compare a number of school readiness skills with an eye toward finding out which are the best predictors of later academic achievement in math, reading, and science. The predictors were early reading, math, general knowledge, socioemotional skills, and motor skills. Data were obtained from the Early Childhood Longitudinal Study of 1998 (NCES, 1998) database. While controlling for an extensive set of family characteristics, predictions were made across five years - from the end of kindergarten to the end of fifth grade. Consistent with current findings, reading and math skills predicted later achievement. Interestingly, general knowledge, attention, and fine motor skills also proved to be important predictors of later academic achievement, but socioemotional skills were not. The findings were interpreted from a neurobiological perspective involving the development of self-regulation. These school entry skills are used to predict later achievement in reading, math, and science. I argued that in addition to acquiring early academic knowledge, children need to regulate the use of this knowledge to meet academic goals.
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[Predictors of success of external cephalic version: Bi-center study].
Dochez, V; Delbos, L; Esbelin, J; Volteau, C; Winer, N; Sentilhes, L
2016-05-01
In the literature, success rate of external cephalic version (ECV) is 39 to 65%. This study aims to identify potential predictors of a successful ECV. Retrospective bi-center study performed from January 2011 through December 2012 at Angers University Hospital and Nantes University Hospital from January 2011 through December 2011. Were identified the demographic and ultrasonography characteristics of patients and the data of the process. One hundred and seventy-eight patients were included, 88 in Angers and 90 in Nantes; 16.3% of ECV were successful. Multiparity (OR 28.45; P<0.01) and transverse position (OR 0.63; P<0.01) are the two significant predictors. There is no significant difference found for center, operator, position of the placenta, amniotic fluid or presence of a uterine scar. The success rate in our two French university centers is much lower than that reported in the literature. Parity and transverse position are the only 2 significant predictors of ECV success. Copyright © 2015 Elsevier Masson SAS. All rights reserved.
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Predictors of return to work in employees sick-listed with mental health problems
DEFF Research Database (Denmark)
D.Nielsen, Maj Britt; Madsen, Ida E.H.; Bültmann, Ute
2011-01-01
Sickness absence due to mental health problems (MHPs) is increasing in several European countries. However, little is known about return to work (RTW) for employees with MHPs. This prospective study aimed to identify predictors for RTW in employees sick-listed with MHPs.......Sickness absence due to mental health problems (MHPs) is increasing in several European countries. However, little is known about return to work (RTW) for employees with MHPs. This prospective study aimed to identify predictors for RTW in employees sick-listed with MHPs....
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Predictors of Psychological Distress Trajectories in the First Year After a Breast Cancer Diagnosis
Directory of Open Access Journals (Sweden)
Jin-Hee Park, RN, Ph.D.
2017-12-01
Full Text Available Purpose: Psychological distress is a significant and ongoing problem for breast cancer. These mental health problems are often neglected as they are not always properly understood. This study was performed to explore the trajectory of psychological distress over 1 year since breast cancer surgery and to identify the associated factors for the trajectory. Methods: One hundred seventeen women who underwent surgery for breast cancer completed the psychological distress thermometer and problem lists from after surgery to 12 months after surgery. Information on their sociodemographic and clinical characteristics was also obtained. Group-based trajectory modeling was performed to identify the distinct trajectories of psychological distress. Chi-square test and logistic regression analysis were performed to determine predictors of psychological distress trajectories. Results: A two-group linear trajectory model was optimal for modeling psychological distress (Bayesian information criterion = −777.41. Group-based trajectory modeling identified consistently high-distress (19.4% and low-decreasing distress (80.6% trajectories. Old age, depression, nervousness, and pain were significant predictors of consistently high-distress trajectory. Conclusion: Our results indicate that distinct trajectory groups can be used as a screening tool to identify patients who may be at an increased risk of psychological distress over time. Screening for psychological distress during disease diagnosis is important and necessary to identify patients who are at an increased risk of elevated distress or at risk of experiencing psychological distress over time. Keywords: anxiety, breast neoplasms, depression, pain, psychological stress
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Energy Technology Data Exchange (ETDEWEB)
Shenoy-Bhangle, Anuradha; Nimkin, Katherine; Gee, Michael S. [Massachusetts General Hospital for Children, Harvard Medical School, Department of Radiology, Boston, MA (United States); Goldner, Dana; Israel, Esther J. [Massachusetts General Hospital for Children, Harvard Medical School, Department of Pediatrics, Boston, MA (United States); Bradley, William F. [Analog Devices, Lyric Labs, Cambridge, MA (United States)
2014-01-15
Magnetic resonance imaging (MRI) is considered the imaging standard for diagnosis and characterization of perianal complications associated with Crohn disease in children and adults. To define MRI criteria that could act as potential predictors of treatment response in fistulizing Crohn disease in children, in order to guide more informed study interpretation. We performed a retrospective database query to identify all children and young adults with Crohn disease who underwent serial MRI studies for assessment of perianal symptoms between 2003 and 2010. We examined imaging features of perianal disease including fistula number, type and length, presence and size of associated abscess, and disease response/progression on follow-up MRI. We reviewed imaging studies and electronic medical records. Statistical analysis, including logistic regression, was performed to associate MR imaging features with treatment response and disease progression. We included 36 patients (22 male, 14 female; age range 8-21 years). Of these, 32 had a second MRI exam and 4 had clinical evidence of complete response, obviating the need for repeat imaging. Of the parameters analyzed, presence of abscess, type of fistula according to the Parks classification, and multiplicity were not predictors of treatment outcome. Maximum length of the dominant fistula and aggregate fistula length in the case of multiple fistulae were the best predictors of treatment outcome. Maximum fistula length <2.5 cm was a predictor of treatment response, while aggregate fistula length ≥2.5 cm was a predictor of disease progression. Perianal fistula length is an important imaging feature to assess on MRI of fistulizing Crohn disease. (orig.)
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International Nuclear Information System (INIS)
Shenoy-Bhangle, Anuradha; Nimkin, Katherine; Gee, Michael S.; Goldner, Dana; Israel, Esther J.; Bradley, William F.
2014-01-01
Magnetic resonance imaging (MRI) is considered the imaging standard for diagnosis and characterization of perianal complications associated with Crohn disease in children and adults. To define MRI criteria that could act as potential predictors of treatment response in fistulizing Crohn disease in children, in order to guide more informed study interpretation. We performed a retrospective database query to identify all children and young adults with Crohn disease who underwent serial MRI studies for assessment of perianal symptoms between 2003 and 2010. We examined imaging features of perianal disease including fistula number, type and length, presence and size of associated abscess, and disease response/progression on follow-up MRI. We reviewed imaging studies and electronic medical records. Statistical analysis, including logistic regression, was performed to associate MR imaging features with treatment response and disease progression. We included 36 patients (22 male, 14 female; age range 8-21 years). Of these, 32 had a second MRI exam and 4 had clinical evidence of complete response, obviating the need for repeat imaging. Of the parameters analyzed, presence of abscess, type of fistula according to the Parks classification, and multiplicity were not predictors of treatment outcome. Maximum length of the dominant fistula and aggregate fistula length in the case of multiple fistulae were the best predictors of treatment outcome. Maximum fistula length <2.5 cm was a predictor of treatment response, while aggregate fistula length ≥2.5 cm was a predictor of disease progression. Perianal fistula length is an important imaging feature to assess on MRI of fistulizing Crohn disease. (orig.)
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Garnett, Bernice Raveche; Buelow, Robert; Franko, Debra L; Becker, Carolyn; Rodgers, Rachel F; Austin, S Bryn
2014-01-01
Fat Talk Free Week (FTFW), a social marketing campaign designed to decrease self-disparaging talk about body and weight, has not yet been evaluated. We conducted a theory-informed pilot evaluation of FTFW with two college samples using a pre- and posttest design. Aligned with the central tenets of the Elaboration Likelihood Model (ELM), we investigated the importance of FTFW saliency as a predictor of fat talk behavior change. Our analytic sample consisted of 118 female participants (83% of original sample). Approximately 76% of the sample was non-Hispanic White, 14% Asian, and 8% Hispanic. At baseline, more than 50% of respondents reported engaging in frequent self fat talk; at posttest, this number dropped to 34% of respondents. Multivariable regression models supported campaign saliency as the single strongest predictor of a decrease in self fat talk. Our results support the social diffusion of campaign messages among shared communities, as we found significant decreases in fat talk among campaign attenders and nonattenders. FTFW may be a promising short-term health communication campaign to reduce fat talk, as campaign messages are salient among university women and may encourage interpersonal communication.
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Predictors of agitation in critically ill adults.
Burk, Ruth S; Grap, Mary Jo; Munro, Cindy L; Schubert, Christine M; Sessler, Curtis N
2014-09-01
Agitation in critically ill adults is a frequent complication of hospitalization and results in multiple adverse outcomes. Potential causes of agitation are numerous; however, data on factors predictive of agitation are limited. To identify predictors of agitation by examining demographic and clinical characteristics of critically ill patients. A medical record review was performed. Documentation of agitation was indicated by scores on the Richmond Agitation-Sedation Scale or the use of an agitation keyword. Records of 200 patients from 1 medical and 1 surgical intensive care unit were used for the study. Risk factors were determined for 2 points in time: admission to the intensive care unit and within 24 hours before the first episode of agitation. Data on baseline demographics, preadmission risk factors, and clinical data were collected and were evaluated by using logistic multivariable regression to determine predictors of agitation. Predictors of agitation on admission to intensive care were history of use of illicit substances, height, respiratory and central nervous system subscores on the Sequential Organ Failure Assessment, and use of restraints. Predictors of agitation within 24 hours before the onset of agitation were history of psychiatric diagnosis, height, score on the Sequential Organ Failure Assessment, ratio of Pao2 to fraction of inspired oxygen less than 200, serum pH, percentage of hours with restraints, percentage of hours of mechanical ventilation, pain, and presence of genitourinary catheters. Predictors of agitation on admission and within 24 hours before the onset of agitation were primarily clinical variables. ©2014 American Association of Critical-Care Nurses.
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Howell, Doris M.; Abernathy, Tom; Cockerill, Rhonda; Brazil, Kevin; Wagner, Frank; Librach, Larry
2011-01-01
Purpose: Empirical understanding of predictors for home care service use and death at home is important for healthcare planning. Few studies have examined these predictors in the context of the publicly funded Canadian home care system. This study examined predictors for home care use and home death in the context of a “gold standard” comprehensive palliative home care program pilot in Ontario where patients had equal access to home care services. Methods: Secondary clinical and administrative data sources were linked using a unique identifier to examine multivariate factors (predisposing, enabling, need) on total home care expenditures and home death for a cohort of cancer patients enrolled in the HPCNet pilot. Results: Subjects with gastrointestinal symptoms (OR: 1.64; p=0.03) and those with higher income had increased odds of dying at home (OR: 1.14; phome care expenditures. Conclusions: Predictors of home death found in earlier studies appeared less important in this comprehensive palliative home care pilot. An income effect for home death observed in this study requires examination in future controlled studies. Relevance: Access to palliative home care that is adequately resourced and organized to address the multiple domains of issues that patients/families experience at the end of life has the potential to enable home death and shift care appropriately from limited acute care resources. PMID:22294993
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van Herpen, Sanne G. A.; Meeuwisse, Marieke; Hofman, W. H. Adriaan; Severiens, Sabine E.; Arends, Lidia R.
2017-01-01
Given the large number of dropouts in the 1st year at university, it is important to identify early predictors of 1st-year academic success. The present study (n = 453 first-year students) contributes to literature on the transition from secondary to higher education by investigating how the non-cognitive factors "pre-university" effort…
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Early concern and disregard for others as predictors of antisocial behavior
Rhee, Soo Hyun; Friedman, Naomi P.; Boeldt, Debra L.; Corley, Robin P.; Hewitt, John. K.; Knafo, Ariel; Lahey, Benjamin B.; Robinson, JoAnn; Van Hulle, Carol A.; Waldman, Irwin D.; Young, Susan E.; Zahn-Waxler, Carolyn
2012-01-01
Background Prediction of antisocial behavior is important given its adverse impact on both the individuals engaging in antisocial behavior and society. Additional research identifying early predictors of future antisocial behavior, or antisocial propensity, is needed. The present study tested the hypothesis that both concern for others and active disregard for others in distress in toddlers and young children predict antisocial behavior during middle childhood and adolescence. Methods A representative sample of same-sex twins (N = 956) recruited in Colorado was examined. Mother-rated and researcher-observed concern and disregard for others assessed at age 14 to 36 months were examined as predictors of parent- (age 4 to 12), teacher- (age 7 to 12), and self-reported (age 17) antisocial behavior. Results Observed disregard for others predicted antisocial behavior assessed by three different informants (parents, teachers, and self), including antisocial behavior assessed 14 years later. It also predicted a higher-order antisocial behavior factor (β = .58, p concern for others. Mother-rated disregard for others predicted parent-reported antisocial behavior. Contrary to predictions, neither mother-rated nor observed concern for others inversely predicted antisocial behavior. Results of twin analyses suggested that the covariation between observed disregard for others and antisocial behavior was due to shared environmental influences. Conclusions Disregard for others in toddlerhood/early childhood is a strong predictor of antisocial behavior in middle childhood and adolescence. The results suggest the potential need for early assessment of disregard for others and the development of potential interventions. PMID:23320806
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Predictors of nurses' experience of verbal abuse by nurse colleagues.
Keller, Ronald; Krainovich-Miller, Barbara; Budin, Wendy; Djukic, Maja
Between 45% and 94% of registered nurses (RNs) experience verbal abuse, which is associated with physical and psychological harm. Although several studies examined predictors of RNs' verbal abuse, none examined predictors of RNs' experiences of verbal abuse by RN colleagues. To examine individual, workplace, dispositional, contextual, and interpersonal predictors of RNs' reported experiences of verbal abuse from RN colleagues. In this secondary analysis, a cross-sectional design with multiple linear regression analysis was used to examine the effect of 23 predictors on verbal abuse by RN colleagues in a sample of 1,208 early career RNs. Selected variables in the empirical intragroup conflict model explained 23.8% of variance in RNs' experiences of verbal abuse by RN colleagues. A number of previously unstudied factors were identified that organizational leaders can monitor and develop or modify policies to prevent early career RNs' experiences of verbal abuse by RN colleagues. Copyright © 2017 Elsevier Inc. All rights reserved.
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RS-Predictor models augmented with SMARTCyp reactivities
DEFF Research Database (Denmark)
Zaretzki, Jed; Rydberg, Patrik; Bergeron, Charles
2012-01-01
(82.3%) and merged(86.0%). Comprehensive datamining of each substrate set and careful statistical analyses of the predictions made by the different models revealed new insights into molecular features that control metabolic regioselectivity and enable accurate prospective prediction of likely SOMs.......RS-Predictor is a tool for creating pathway-independent, isozyme-specific site of metabolism (SOM) prediction models using any set of known cytochrome P450 substrates and metabolites. Until now, the RS-Predictor method was only trained and validated on CYP 3A4 data, but in the present study we...... report on the versatility the RS-Predictor modeling paradigm by creating and testing regioselectivity models for substrates of the nine most important CYP isozymes. Through curation of source literature, we have assembled 680 substrates distributed among CYPs 1A2, 2A6, 2B6, 2C19, 2C8, 2C9, 2D6, 2E1 and 3...
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Predictors of early change in bulimia nervosa after a brief psychoeducational therapy.
Fernàndez-Aranda, Fernando; Álvarez-Moya, Eva M; Martínez-Viana, Cristina; Sànchez, Isabel; Granero, Roser; Penelo, Eva; Forcano, Laura; Peñas-Lledó, Eva
2009-06-01
We aimed to examine baseline predictors of treatment response in bulimic patients. 241 seeking-treatment females with bulimia nervosa completed an exhaustive assessment and were referred to a six-session psychoeducational group. Regression analyses of treatment response were performed. Childhood obesity, lower frequency of eating symptomatology, lower body mass index, older age, and lower family's and patient's concern about the disorder were predictors of poor abstinence. Suicidal ideation, alcohol abuse, higher maximum BMI, higher novelty seeking and lower baseline purging frequency predicted dropouts. Predictors of early symptom changes and dropouts were similar to those identified in longer CBT interventions.
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Sarcopenia and Predictors of Skeletal Muscle Mass in Elderly Men With and Without Obesity
Directory of Open Access Journals (Sweden)
Katja Stoever MA
2017-06-01
Full Text Available Objectives: The aim of this study was to determine the variables which show the highest association with muscle mass and to identify the most important predictors for muscle mass in elderly men with and without sarcopenia. Methods: A total of 71 men participated, aged ≥65 years. Sarcopenia was assessed using the definition of the European Working Group on Sarcopenia in Older People with determining skeletal muscle index (SMI, hand-grip strength (HGS, and Short Physical Performance Battery. In addition, maximum strength at upper and lower extremities and physical activity were measured. Results: Strong correlations existed between SMI and gait speed, HGS, maximum isometric strength at leg and chest press. Physical activity showed low correlations with muscle strength. Regression analysis revealed HGS and gait speed as key predictors for SMI. Discussion: The recommendation is measuring gait speed and HGS in clinical practice at first followed by measuring muscle mass for determining sarcopenia.
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Suchting, Robert; Gowin, Joshua L; Green, Charles E; Walss-Bass, Consuelo; Lane, Scott D
2018-01-01
Rationale : Given datasets with a large or diverse set of predictors of aggression, machine learning (ML) provides efficient tools for identifying the most salient variables and building a parsimonious statistical model. ML techniques permit efficient exploration of data, have not been widely used in aggression research, and may have utility for those seeking prediction of aggressive behavior. Objectives : The present study examined predictors of aggression and constructed an optimized model using ML techniques. Predictors were derived from a dataset that included demographic, psychometric and genetic predictors, specifically FK506 binding protein 5 (FKBP5) polymorphisms, which have been shown to alter response to threatening stimuli, but have not been tested as predictors of aggressive behavior in adults. Methods : The data analysis approach utilized component-wise gradient boosting and model reduction via backward elimination to: (a) select variables from an initial set of 20 to build a model of trait aggression; and then (b) reduce that model to maximize parsimony and generalizability. Results : From a dataset of N = 47 participants, component-wise gradient boosting selected 8 of 20 possible predictors to model Buss-Perry Aggression Questionnaire (BPAQ) total score, with R 2 = 0.66. This model was simplified using backward elimination, retaining six predictors: smoking status, psychopathy (interpersonal manipulation and callous affect), childhood trauma (physical abuse and neglect), and the FKBP5_13 gene (rs1360780). The six-factor model approximated the initial eight-factor model at 99.4% of R 2 . Conclusions : Using an inductive data science approach, the gradient boosting model identified predictors consistent with previous experimental work in aggression; specifically psychopathy and trauma exposure. Additionally, allelic variants in FKBP5 were identified for the first time, but the relatively small sample size limits generality of results and calls for
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Predictors of Homophobia in Female College Students.
Basow, Susan A.; Johnson, Kelly
2000-01-01
Investigated how self-esteem, self-discrepancy, and gender-attribute importance related to homophobia in predominantly white college women, noting sex role attitudes, authoritarian attitudes, and extent of contact with homosexuals. The only significant predictor of homophobia was authoritarian attitudes. Other correlations included belief in sex…
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Landolt, Karin; Rössler, Wulf; Ajdacic-Gross, Vladeta; Derks, Eske M; Libiger, Jan; Kahn, René S; Fleischhacker, W Wolfgang
2016-04-01
This study had two aims: to describe patients suffering from first-episode schizophrenia who had stopped taking any antipsychotic medication, and to gain information on the predictors of successful discontinuation. We investigated data from the European First Episode Schizophrenia Trial (EUFEST). From the 325 patients included, 15.7% discontinued all antipsychotic medication. In a first analysis, clinical and sociodemographical predictors of discontinuing any antipsychotic medication were identified, using Cox regression. In the second analysis, logistic regression was used to determine variables associated with those patients who had stopped taking antipsychotic medication and had a favourable outcome, i.e., successful discontinuation. A good outcome was defined as a) having had no relapse within the whole observation period (80.6%), and b) having had no relapse and symptomatic remission at 12-month-follow-up (37.2%). Cox regression revealed that a higher proportion of patients from Western European countries and Israel stopped antipsychotic medication than from Central and Eastern European countries, that relapse was associated with discontinuation, and that discontinuers had lower compliance and higher quality of life. Predictors of successful discontinuation differed with the outcome definition used. Using definition b), successful discontinuers had a better baseline prognosis and better baseline social integration. Using definition a), successful discontinuers more often were from Western European countries. Region and clinical factors were associated with discontinuation. Prognosis and social integration played an important role in predicting successful discontinuation. As this study had several limitations, for example the observational design regarding discontinuation, further studies are needed to identify predictors of successful discontinuation. Copyright © 2016 Elsevier B.V. All rights reserved.
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Predictors of health-related quality of life in type II diabetic patients in Greece
Directory of Open Access Journals (Sweden)
Frydas Aristidis
2007-07-01
Full Text Available Abstract Background Diabetes Mellitus (DM is a major cause of morbidity and mortality affecting millions of people worldwide, while placing a noteworthy strain on public health funding. The aim of this study was to assess health-related quality of life (HRQOL of Greek Type II DM patients and to identify significant predictors of the disease in this patient population. Methods The sample (N = 229, 52.8% female, 70.0 years mean age lived in a rural community of Lesvos, an island in the northeast of the Aegean Archipelagos. The generic SF-36 instrument, administered by trainee physicians, was used to measure HRQOL. Scale scores were compared with non-parametric Mann-Whitney and Kruskal-Wallis tests and multivariate stepwise linear regression analyses were used to investigate the effect of sociodemographic and diabetes-related variables on HRQOL. Results The most important predictors of impaired HRQOL were female gender, diabetic complications, non-diabetic comorbidity and years with diabetes. Older age, lower education, being unmarried, obesity, hypertension and hyperlipidaemia were also associated with impaired HRQOL in at least one SF-36 subscale. Multivariate regression analyses produced models explaining significant portions of the variance in SF-36 subscales, especially physical functioning (R2 = 42%, and also showed that diabetes-related indicators were more important disease predictors, compared to sociodemographic variables. Conclusion The findings could have implications for health promotion in rural medical practice in Greece. In order to preserve a good HRQOL, it is obviously important to prevent diabetes complications and properly manage concomitant chronic diseases. Furthermore, the gender difference is interesting and requires further elucidation. Modifying screening methods and medical interventions or formulating educational programs for the local population appear to be steps in the correct direction.
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Pitigoi-Aron, Gabriela; King, Patricia A; Chambers, David W
2011-12-01
The number of U.S. and Canadian dental schools offering programs for dentists with degrees from other countries leading to the D.D.S. or D.M.D. degree has increased recently. This fact, along with the diversity of educational systems represented by candidates for these programs, increases the importance of identifying valid admissions predictors of success in international dental student programs. Data from 148 students accepted into the international dental studies program at the University of the Pacific from 1994 through 2004 were analyzed. Dependent variables were comprehensive cumulative GPA at the end of both the first and second years of the two-year program. The Test of English as a Foreign Language (TOEFL) and both Parts I and II of the National Board Dental Examination (NBDE) were significant positive predictors of success. Performance on laboratory tests of clinical skill in operative dentistry and in fixed prosthodontics and ratings from interviewers were not predictive of overall success in the program. Although this study confirms the predictive value of written tests such as the TOEFL and NBDE, it also contributes to the literature documenting inconsistent results regarding other types of predictors. It may be the case that characteristics of individual programs or features of the applicant pools for each may require use of admissions predictors that are unique to schools.
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Predictors of perceived togetherness in very old men and women: a 5-year follow-up study.
Tiikkainen, P; Leskinen, E; Heikkinen, R-L
2008-01-01
Although a considerable amount of research has been carried out on older adults' social ties, most of it has focused on quantitative aspects and on cross-sectional samples. In this study, the subjective aspect of social interaction is described by the concept of perceived togetherness. The aim of this study was to examine the extent to which different factors predict perceived togetherness in men and women over a 5-year period. It also addresses the question of whether it is possible to identify different subgroups in perceived togetherness. The data were collected with structured interviews and laboratory tests from 225 elderly people at ages 80 and 85. The results showed that the predictors of perceived togetherness partly differed between sexes as well as within the groups of males and females. Predictors common to both genders were contacts with friends, less depressive symptoms, higher education level and better coping with instrumental activities of daily living (IADLs). The findings indicated the importance of friends. Widowhood and self-rated health were predictors in women but not in men. Moreover, there appeared to be two subgroups of women and men in perceived togetherness; these were labeled "socially embedded", "socially isolated", "socially active" and "solitary". The results indicate diversity in perceived togetherness and its predictors. More attention should be paid to individual differences in order to prevent loneliness and to promote older adults' well-being.
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Joint Bayesian variable and graph selection for regression models with network-structured predictors
Peterson, C. B.; Stingo, F. C.; Vannucci, M.
2015-01-01
In this work, we develop a Bayesian approach to perform selection of predictors that are linked within a network. We achieve this by combining a sparse regression model relating the predictors to a response variable with a graphical model describing conditional dependencies among the predictors. The proposed method is well-suited for genomic applications since it allows the identification of pathways of functionally related genes or proteins which impact an outcome of interest. In contrast to previous approaches for network-guided variable selection, we infer the network among predictors using a Gaussian graphical model and do not assume that network information is available a priori. We demonstrate that our method outperforms existing methods in identifying network-structured predictors in simulation settings, and illustrate our proposed model with an application to inference of proteins relevant to glioblastoma survival. PMID:26514925
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Predictors of the effectiveness of accreditation on hospital performance
DEFF Research Database (Denmark)
Bie Bogh, Søren; Falstie-Jensen, Anne Mette; Hollnagel, Erik
2017-01-01
Objective: To identify predictors of the effectiveness of hospital accreditation on process performance measures. Design: A multi-level, longitudinal, stepped-wedge, nationwide study. Participants: All patients admitted for acute stroke, heart failure, ulcers, diabetes, breast cancer and lung can...
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Family Functioning and Predictors of Runaway Behavior Among At-Risk Youth.
Holliday, Stephanie Brooks; Edelen, Maria Orlando; Tucker, Joan S
2017-06-01
Adolescent runaway behavior is associated with a host of negative outcomes in young adulthood. Therefore, it is important to understand the factors that predict running away in youth. Longitudinal data from 111 at-risk families were used to identify proximal predictors of runaway behavior over a 12-week period. On average, youth were 14.96 years old, and 45% were female. Ten percent of youth ran away during the 12-week follow-up period. In bivariate analyses, running away was predicted by poorer youth- and parent-rated family functioning, past runaway behavior, and other problem behaviors (e.g., substance use, delinquency), but not poorer perceived academic functioning. Results of a hierarchical logistic regression revealed a relationship between youth-rated family functioning and runaway behavior. However, this effect became non-significant after accounting for past runaway behavior and other problem behaviors, both of which remained significant predictors in the multivariable model. These findings suggest that youth who run away may be engaged in a more pervasive pattern of problematic behavior, and that screening and prevention programs need to address the cycle of adolescent defiant behavior associated with running away. Recommendations for clinical practice with this at-risk population are discussed.
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Predictors of neonatal outcome in early-onset placental dysfunction
Baschat, Ahmet A.; Cosmi, Erich; Bilardo, Catarina M.; Wolf, Hans; Berg, Christoph; Rigano, Serena; Germer, Ute; Moyano, Dolores; Turan, Sifa; Hartung, John; Bhide, Amarnath; Müller, Thomas; Bower, Sarah; Nicolaides, Kypros H.; Thilaganathan, Baskaran; Gembruch, Ulrich; Ferrazzi, Enrico; Hecher, Kurt; Galan, Henry L.; Harman, Chris R.
2007-01-01
To identify specific estimates and predictors of neonatal morbidity and mortality in early onset fetal growth restriction due to placental dysfunction. Prospective multicenter study of prenatally diagnosed growth-restricted liveborn neonates of less than 33 weeks of gestational age. Relationships
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Metformin in gestational diabetes mellitus: predictors of poor response.
Gante, Inês; Melo, Luís; Dores, Jorge; Ruas, Luísa; Almeida, Maria do Céu
2018-01-01
Metformin can be regarded as a first-line treatment in gestational diabetes mellitus (GDM) due to its safety and effectiveness. However, a proportion of women do not achieve adequate glycemic control with metformin alone. We aim to identify predictors of this poor response to metformin. Retrospective multicentre cohort study of women with GDM who started metformin as first-line treatment. The assessed cohort was divided into a metformin group and metformin plus insulin group. Biometric and demographic characteristics, glycemic control data, obstetric, neonatal and postpartum outcomes were compared between groups and analysed in order to identify predictors of poor response to metformin. Data were analysed using STATA, version 13.1. Of the 388 women enrolled in the study, 135 (34.8%) required additional insulin therapy to achieve the glycemic targets. Higher age (aOR: 1.08 (1.03-1.13), P = 0.003), higher pre-pregnancy body mass index (BMI) (1.06 (1.02-1.10), P = 0.003) and earlier introduction of metformin (0.89 (0.85-0.94), P metformin, insulin supplementation was not associated with poor neonatal outcomes. Higher age, higher pre-pregnancy BMI and earlier introduction of metformin could be used as predictors of poor response to metformin. © 2018 European Society of Endocrinology.
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Directory of Open Access Journals (Sweden)
Lohfeld Lynne
2002-03-01
Full Text Available Abstract Background Organizational features can affect how staff view their quality of work life. Determining staff perceptions about quality of work life is an important consideration for employers interested in improving employee job satisfaction. The purpose of this study was to identify organization specific predictors of job satisfaction within a health care system that consisted of six independent health care organizations. Methods 5,486 full, part and causal time (non-physician staff on active payroll within six organizations (2 community hospitals, 1 community hospital/long-term care facility, 1 long-term care facility, 1 tertiary care/community health centre, and 1 visiting nursing agency located in five communities in Central West Ontario, Canada were asked to complete a 65-item quality of work life survey. The self-administered questionnaires collected staff perceptions of: co-worker and supervisor support; teamwork and communication; job demands and decision authority; organization characteristics; patient/resident care; compensation and benefits; staff training and development; and impressions of the organization. Socio-demographic data were also collected. Results Depending on the organization, between 15 and 30 (of the 40 potential predictor variables were found to be statistically associated with job satisfaction (univariate analyses. Logistic regression analyses identified the best predictors of job satisfaction and these are presented for each of the six organizations and for all organizations combined. Conclusions The findings indicate that job satisfaction is a multidimensional construct and although there appear to be some commonalities across organizations, some predictors of job satisfaction appear to be organization and context specific.
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Krueger, Paul; Brazil, Kevin; Lohfeld, Lynne; Edward, H Gayle; Lewis, David; Tjam, Erin
2002-03-25
Organizational features can affect how staff view their quality of work life. Determining staff perceptions about quality of work life is an important consideration for employers interested in improving employee job satisfaction. The purpose of this study was to identify organization specific predictors of job satisfaction within a health care system that consisted of six independent health care organizations. 5,486 full, part and causal time (non-physician) staff on active payroll within six organizations (2 community hospitals, 1 community hospital/long-term care facility, 1 long-term care facility, 1 tertiary care/community health centre, and 1 visiting nursing agency) located in five communities in Central West Ontario, Canada were asked to complete a 65-item quality of work life survey. The self-administered questionnaires collected staff perceptions of: co-worker and supervisor support; teamwork and communication; job demands and decision authority; organization characteristics; patient/resident care; compensation and benefits; staff training and development; and impressions of the organization. Socio-demographic data were also collected. Depending on the organization, between 15 and 30 (of the 40 potential predictor) variables were found to be statistically associated with job satisfaction (univariate analyses). Logistic regression analyses identified the best predictors of job satisfaction and these are presented for each of the six organizations and for all organizations combined. The findings indicate that job satisfaction is a multidimensional construct and although there appear to be some commonalities across organizations, some predictors of job satisfaction appear to be organization and context specific.
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Smith, Danielle M; Werb, Dan; Abramovitz, Daniela; Magis-Rodriguez, Carlos; Vera, Alicia; Patterson, Thomas L; Strathdee, Steffanie A
2016-03-01
Until the early 2000s, there was only one needle exchange program (NEP) offered in Mexico. In 2004, the second Mexican NEP opened in Tijuana, but its utilization has not been studied. We studied predictors of initiating NEP during its early expansion in Tijuana, Mexico. From April 2006 to April 2007, people who inject drugs (PWID) residing in Tijuana who had injected within the last month were recruited using respondent-driven sampling. Weighted Poisson regression incorporating generalized estimating equations was used to identify predictors of initiating NEP, while accounting for correlation between recruiter and recruits. NEP uptake increased from 20% at baseline to 59% after 6 months. Among a subsample of PWID not accessing NEP at baseline (n = 480), 83% were male and median age was 37 years (Interquartile Range: 32-43). At baseline, 4.4% were HIV-infected and 5.9% had syphilis titers >1:8. In multivariate models, factors associated with NEP initiation (p 2500 pesos/month (ARR: .66); and reporting needle sharing (ARR: .71). Uptake of NEP expansion in Tijuana was vigorous among PWID. We identified a range of factors that influenced the likelihood of NEP initiation, including police interaction. These findings have important implications for the scale-up of NEP in Mexico. © American Academy of Addiction Psychiatry.
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Predictors of food decision making: A systematic interdisciplinary mapping (SIM) review.
Symmank, Claudia; Mai, Robert; Hoffmann, Stefan; Stok, F Marijn; Renner, Britta; Lien, Nanna; Rohm, Harald
2017-03-01
The number of publications on consumer food decision making and its predictors and correlates has been steadily increasing over the last three decades. Given that different scientific disciplines illuminate this topic from different perspectives, it is necessary to develop an interdisciplinary overview. The aim of this study is to conduct a systematic interdisciplinary mapping (SIM) review by using rapid review techniques to explore the state-of-the-art, and to identify hot topics and research gaps in this field. This interdisciplinary review includes 1,820 publications in 485 different journals and other types of publications from more than ten disciplines (including nutritional science, medicine/health science, psychology, food science and technology, business research, etc.) across a period of 60 years. The identified predictors of food decision making were categorized in line with the recently proposed DONE (Determinants Of Nutrition and Eating behavior) framework. After applying qualitative and quantitative analyses, this study reveals that most of the research emphasizes biological, psychological, and product-related predictors, whereas policy-related influences on food choice are scarcely considered. Copyright © 2016 Elsevier Ltd. All rights reserved.
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Clinical predictors for the prognosis of myasthenia gravis.
Wang, Lili; Zhang, Yun; He, Maolin
2017-04-19
Clinical predictors for myasthenia gravis relapse and ocular myasthenia gravis secondary generalization during the first two years after disease onset remain incompletely identified. This study attempts to investigate the clinical predictors for the prognosis of Myasthenia Gravis. Eighty three patients with myasthenia gravis were concluded in this study. Baseline characteristics were analyzed as predictors. Relapse of myasthenia gravis developed in 26 patients (34%). Generalization developed in 34 ocular myasthenia gravis patients (85%). Other autoimmune diseases were observed more commonly in relapsed myasthenia gravis (P = 0.012). Second generalization group contained more late onset patients (P = 0.021). Ocular myasthenia gravis patients with thymus hyperplasia progressed more rapidly than those with other thymus pathology (P = 0.027). Single onset symptom of ocular myasthenia gravis such as ptosis or diplopia predicted early progression than concurrence of ptosis and diplopia (P = 0.027). Treatment effect including glucocorticoid, pyridostigmine, thymectomy, IVIG, immunosuppressive drugs did not show significant difference between the relapsed and non-relapsed groups. The treatment outcome also showed no difference between the single OMG and second generalized groups. Occurrence of associated autoimmune disease can serve as a potential predictor for myasthenia gravis relapse. Either ptosis or diplopia, as well as thymic hyperplasia can predict generalization in the first six months.
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Poststroke epilepsy in the Copenhagen stroke study: incidence and predictors
DEFF Research Database (Denmark)
Kammersgaard, Lars Peter; Olsen, Tom Skyhøj
2005-01-01
Poststroke epilepsy (PSE) is a feared complication after stroke and is reported in 3% to 5% of stroke survivors. In this study we sought to identify incidence and predictors of PSE in an unselected stroke population with a follow-up period of 7 years. The study was community-based and comprises...... a cohort of 1197 consecutively and prospectively admitted patients with stroke. Patients were followed up for 7 years. We defined PSE as recurrent epileptic seizures with onset after stroke and requiring antiepileptic prophylaxis. PSE was related to clinical factors (age, sex, onset stroke severity, lesion...... size on computed tomography scans, stroke subtype, localization, stroke risk factor profile, and early seizures) in univariate analyses. Independent predictors of PSE were identified through multiple logistic regression analyses. Overall, 38 patients (3.2%) developed PSE. Univariately, PSE...
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Predictors of outcome among patients with obstructive jaundice at ...
African Journals Online (AJOL)
Despite recent advances both in preoperative diagnosis and postoperative care, obstructive jaundice still contributes significantly to high morbidity and mortality. A prospective study was undertaken to identify predictors of outcome among patients with obstructive jaundice at Bugando Medical Centre in north-western ...
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Predictors of fibromyalgia: a population-based twin cohort study.
Markkula, Ritva A; Kalso, Eija A; Kaprio, Jaakko A
2016-01-15
Fibromyalgia (FM) is a pain syndrome, the mechanisms and predictors of which are still unclear. We have earlier validated a set of FM-symptom questions for detecting possible FM in an epidemiological survey and thereby identified a cluster with "possible FM". This study explores prospectively predictors for membership of that FM-symptom cluster. A population-based sample of 8343 subjects of the older Finnish Twin Cohort replied to health questionnaires in 1975, 1981, and 1990. Their answers to the set of FM-symptom questions in 1990 classified them in three latent classes (LC): LC1 with no or few symptoms, LC2 with some symptoms, and LC3 with many FM symptoms. We analysed putative predictors for these symptom classes using baseline (1975 and 1981) data on regional pain, headache, migraine, sleeping, body mass index (BMI), physical activity, smoking, and zygosity, adjusted for age, gender, and education. Those with a high likelihood of having fibromyalgia at baseline were excluded from the analysis. In the final multivariate regression model, regional pain, sleeping problems, and overweight were all predictors for membership in the class with many FM symptoms. The strongest non-genetic predictor was frequent headache (OR 8.6, CI 95% 3.8-19.2), followed by persistent back pain (OR 4.7, CI 95% 3.3-6.7) and persistent neck pain (OR 3.3, CI 95% 1.8-6.0). Regional pain, frequent headache, and persistent back or neck pain, sleeping problems, and overweight are predictors for having a cluster of symptoms consistent with fibromyalgia.
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Prevalence and Predictors of Functional Vitamin K Insufficiency in Mothers and Newborns in Uganda
Directory of Open Access Journals (Sweden)
Data Santorino
2015-10-01
Full Text Available Vitamin K deficiency bleeding (VKDB in infancy is a serious but preventable cause of mortality or permanent disability. Lack of epidemiologic data for VKDB in sub-Saharan Africa hinders development and implementation of effective prevention strategies. We used convenience sampling to consecutively enroll mothers delivering in a southwestern Uganda Hospital. We collected socio-demographic and dietary information, and paired samples of maternal venous and neonatal cord blood for the immunoassay of undercarboxylated prothrombin (PIVKA-II, a sensitive marker of functional vitamin K (VK insufficiency. We used univariable and multivariable logistic regression models to identify predictors of VK insufficiency. We detected PIVKA-II of ≥0.2 AU (Arbitrary Units per mL/mL (indicative of VK insufficiency in 33.3% (47/141 of mothers and 66% (93/141 of newborns. Importantly, 22% of babies had PIVKA-II concentrations ≥5.0 AU/mL, likely to be associated with abnormal coagulation indices. We found no significant predictors of newborn VK insufficiency, including infant weight (AOR (adjusted odds ratio 1.85, 95% CI (confidence interval 0.15–22.49, gender (AOR 0.54, 95% CI 0.26–1.11, term birth (AOR 0.72, 95% CI 0.20–2.62, maternal VK-rich diet (AOR 1.13, 95% CI 0.55–2.35 or maternal VK insufficiency (AOR 0.99, 95% CI 0.47–2.10. VK insufficiency is common among mothers and newborn babies in southwestern Uganda, which in one fifth of babies nears overt deficiency. Lack of identifiable predictors of newborn VK insufficiency support strategies for universal VK prophylaxis to newborns to prevent VKDB.
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Early concern and disregard for others as predictors of antisocial behavior.
Rhee, Soo Hyun; Friedman, Naomi P; Boeldt, Debra L; Corley, Robin P; Hewitt, John K; Knafo, Ariel; Lahey, Benjamin B; Robinson, JoAnn; Van Hulle, Carol A; Waldman, Irwin D; Young, Susan E; Zahn-Waxler, Carolyn
2013-02-01
Prediction of antisocial behavior is important, given its adverse impact on both the individuals engaging in antisocial behavior and society. Additional research identifying early predictors of future antisocial behavior, or antisocial propensity, is needed. The present study tested the hypothesis that both concern for others and active disregard for others in distress in toddlers and young children predict antisocial behavior during middle childhood and adolescence. A representative sample of same-sex twins (N=956) recruited in Colorado was examined. Mother-rated and researcher-observed concern and disregard for others assessed at age 14-36 months were examined as predictors of parent- (age 4-12), teacher- (age 7-12), and self-reported (age 17) antisocial behavior. Observed disregard for others predicted antisocial behavior assessed by three different informants (parents, teachers, and self), including antisocial behavior assessed 14 years later. It also predicted a higher order antisocial behavior factor (β=.58, pconcern for others. Mother-rated disregard for others predicted parent-reported antisocial behavior. Contrary to predictions, neither mother-rated nor observed concern for others inversely predicted antisocial behavior. RESULTS of twin analyses suggested that the covariation between observed disregard for others and antisocial behavior was due to shared environmental influences. Disregard for others in toddlerhood/early childhood is a strong predictor of antisocial behavior in middle childhood and adolescence. The results suggest the potential need for early assessment of disregard for others and the development of potential interventions. © 2012 The Author. Journal of Child Psychology and Psychiatry © 2012 Association for Child and Adolescent Mental Health.
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Predictors of chest drainage complications in trauma patients
Directory of Open Access Journals (Sweden)
CECÍLIA ARAÚJO MENDES
2018-04-01
Full Text Available ABSTRACT Objective: to identify predictors of chest drainage complications in trauma patients attended at a University Hospital. Methods: we conducted a retrospective study of 68 patients submitted to thoracic drainage after trauma, in a one-year period. We analyzed gender, age, trauma mechanism, trauma indices, thoracic and associated lesions, environment in which the procedure was performed, drainage time, experience of the performer, complications and evolution. Results: the mean age of the patients was 35 years and the male gender was the most prevalent (89%. Blunt trauma was the most frequent, with 67% of cases, and of these, 50% were due to traffic accidents. The mean TRISS (Trauma and Injury Severity Score was 98, with a mortality rate of 1.4%. The most frequent thoracic and associated lesions were, respectively, rib fractures (51% and abdominal trauma (32%. The mean drainage time was 6.93 days, being higher in patients under mechanical ventilation (p=0.0163. The complication rate was 26.5%, mainly poor drain positioning (11.77%. Hospital drainage was performed in 89% of cases by doctors in the first year of specialization. Thoracic drainage performed in prehospital care presented nine times more chances of complications (p=0.0015. Conclusion: the predictors of post-trauma complications for chest drainage were a procedure performed in an adverse site and mechanical ventilation. The high rate of complications demonstrates the importance of protocols of care with the thoracic drainage.
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International Nuclear Information System (INIS)
Hayhurst, Caroline; Monsalves, Eric; Prooijen, Monique van; Cusimano, Michael; Tsao, May; Menard, Cynthia; Kulkarni, Abhaya V.; Schwartz, Michael; Zadeh, Gelareh
2012-01-01
Purpose: To identify vascular and dosimetric predictors of symptomatic T2 signal change and adverse radiation effects after radiosurgery for arteriovenous malformation, in order to define and validate preexisting risk models. Methods and Materials: A total of 125 patients with arteriovenous malformations (AVM) were treated at our institution between 2005 and 2009. Eighty-five patients have at least 12 months of clinical and radiological follow-up. Any new-onset headaches, new or worsening seizures, or neurological deficit were considered adverse events. Follow-up magnetic resonance images were assessed for new onset T2 signal change and the volume calculated. Pretreatment characteristics and dosimetric variables were analyzed to identify predictors of adverse radiation effects. Results: There were 19 children and 66 adults in the study cohort, with a mean age of 34 (range 6–74). Twenty-three (27%) patients suffered adverse radiation effects (ARE), 9 patients with permanent neurological deficit (10.6%). Of these, 5 developed fixed visual field deficits. Target volume and 12 Gy volume were the most significant predictors of adverse radiation effects on univariate analysis (p 3 , above which the rate of ARE increased dramatically. Multivariate analysis target volume and the absence of prior hemorrhage are the only significant predictors of ARE. The volume of T2 signal change correlates to ARE, but only target volume is predictive of a higher volume of T2 signal change. Conclusions: Target volume and the absence of prior hemorrhage is the most accurate predictor of adverse radiation effects and complications after radiosurgery for AVMs. A high percentage of permanent visual field defects in this series suggest the optic radiation is a critical radiosensitive structure.
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NRC Information No. 90-01: Importance of proper response to self-identified violations by licensees
International Nuclear Information System (INIS)
Cunningham, R.E.
1992-01-01
NRC expects a high standard of compliance by its licensees and requires that licensees provide NRC accurate and complete information and that required records will also be complete and accurate in all material respects. Licensees should be aware of the importance placed by NRC on licensee programs for self detection, correction and reporting of violations or errors related to regulatory requirements. The General Statement of Policy and Procedures for NRC Enforcement Actions in Appendix C to 10 CFR Part 2 underscores the importance of licensees responding promptly and properly to self-identified violations in two ways. It is suggested that when a licensee identifies a violation involving an NRC-required record, the licensee should make a dated notation indicating identification, either on the record itself or other appropriate documentation retrievable for NRC review. The record with the self-identified violation noted should not be altered in any way to mask the correction. The licensee should determine the cause of the violation, correct the root cause of the violation, and document such findings in an appropriate manner. Licensees should also assure that if a report of the violation is required, the report is submitted to NRC in a timely manner. These actions will be considered by NRC in making any enforcement decision, and generally lead to lesser or no civil penalty
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Directory of Open Access Journals (Sweden)
Robert Suchting
2018-05-01
Full Text Available Rationale: Given datasets with a large or diverse set of predictors of aggression, machine learning (ML provides efficient tools for identifying the most salient variables and building a parsimonious statistical model. ML techniques permit efficient exploration of data, have not been widely used in aggression research, and may have utility for those seeking prediction of aggressive behavior.Objectives: The present study examined predictors of aggression and constructed an optimized model using ML techniques. Predictors were derived from a dataset that included demographic, psychometric and genetic predictors, specifically FK506 binding protein 5 (FKBP5 polymorphisms, which have been shown to alter response to threatening stimuli, but have not been tested as predictors of aggressive behavior in adults.Methods: The data analysis approach utilized component-wise gradient boosting and model reduction via backward elimination to: (a select variables from an initial set of 20 to build a model of trait aggression; and then (b reduce that model to maximize parsimony and generalizability.Results: From a dataset of N = 47 participants, component-wise gradient boosting selected 8 of 20 possible predictors to model Buss-Perry Aggression Questionnaire (BPAQ total score, with R2 = 0.66. This model was simplified using backward elimination, retaining six predictors: smoking status, psychopathy (interpersonal manipulation and callous affect, childhood trauma (physical abuse and neglect, and the FKBP5_13 gene (rs1360780. The six-factor model approximated the initial eight-factor model at 99.4% of R2.Conclusions: Using an inductive data science approach, the gradient boosting model identified predictors consistent with previous experimental work in aggression; specifically psychopathy and trauma exposure. Additionally, allelic variants in FKBP5 were identified for the first time, but the relatively small sample size limits generality of results and calls for
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Directory of Open Access Journals (Sweden)
Rosa M. Alvarez-Bell
2017-09-01
Full Text Available When implementing innovative teaching techniques, instructors often seek to gauge the success of their methods. Proposing one approach to assessing classroom innovation, this study examines the ability of students’ ratings of engagement and instructional practices to predict their learning in a cooperative (team-based framework. After identifying the factor structures underlying measures of student engagement and instructional practices, these factors were used as predictors of self-reported student learning in a general chemistry course delivered using a team-based learning approach. Exploratory factor analyses showed a four-factor structure of engagement: teamwork involvement, investment in the learning process, feelings about team-based learning, level of academic challenge; and a three-factor structure of instructional practices: instructional guidance, fostering self-directed learning skills, and cognitive level. Multiple linear regression revealed that feelings about team-based learning and perceptions of instructional guidance had significant effects on learning, beyond other predictors, while controlling gender, GPA, class level, number of credit hours, whether students began college at their current institution, expected highest level of education, racial or ethnic identification, and parental level of education. These results yield insight into student perceptions about team-based learning, and how to measure learning in a team-based learning framework, with implications for how to evaluate innovative instructional methods.
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Wimmelmann, Cathrine L; Dela, Flemming; Mortensen, Erik L
2014-01-01
Improvement of mental health and health-related quality of life (HRQOL) is an important success criterion for bariatric surgery. In general, mental health and HRQOL improve after surgery, but some patients experience negative psychological reactions postoperatively and the influence of pre-surgical psychological factors on mental wellbeing after surgery is unclear. The aim of the current article therefore is to review recent research investigating psychological predictors of mental health and HRQOL outcome. We searched PubMed, PsycInfo and Web of Science for studies investigating psychological predictors of either mental health or HRQOL after bariatric surgery. Original prospective studies published between 2003 and 2012 with a sample size >30 and a minimum of 1 year follow-up were included. Only 10 eligible studies were identified. The findings suggest that preoperative psychological factors including psychiatric symptoms, body image and self-esteem may be important for mental health postoperatively. Predictors of postoperative HRQOL seem to include personality, severe psychiatric disorder at baseline and improvement of depressive symptoms. In addition, psychiatric symptoms that persist after surgery and inappropriate eating behaviour postoperatively are likely to contribute to poor health-related quality of life outcome. Certain psychological factors appear to be important for mental health and HRQOL after bariatric surgery. However, the literature is extremely sparse and further research is highly needed. Copyright © 2013 Asian Oceanian Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.
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Are there clinically useful predictors and early warning signs for pending relapse?
Gaebel, Wolfgang; Riesbeck, Mathias
2014-02-01
Despite the availability of effective long-term treatment strategies in schizophrenia, relapse is still common. Relapse prevention is one of the major treatment objectives, because relapse represents burden and costs for patients, their environment, and society and seems to increase illness progression at the biological level. Valid predictors for relapse are urgently needed to enable more individualized recommendations and treatment decisions to be made. Mainly recent evidence regarding predictors and early warning signs of relapse in schizophrenia was reviewed. In addition, data from the first-episode (long-term) study (FES; Gaebel et al., 2007, 2011) performed within the German Research Network on Schizophrenia were analyzed. On the basis of FES data, premorbid adjustment, residual symptoms and some side effects are significant predictors. Although a broad spectrum of potential parameters has been investigated in several other studies, only a few and rather general valid predictors were identified consistently. Data of the FES also indicated that predictive power could be enhanced by considering interacting conjunctions, as suggested by the Vulnerability-Stress-Coping model. Prospective studies, however, are rare. In addition, prodromal symptoms as course-related characteristics likewise investigated in the FES add substantially to early recognition of relapse and may serve as early warning signs, but prognosis nevertheless remains a challenge. Comprehensive and well-designed studies are needed to identify and confirm valid predictors for relapse in schizophrenia. In this respect, broadly accepted and specifically defined criteria for relapse would greatly facilitate comparison of results across studies. © 2013 Elsevier B.V. All rights reserved.
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Longitudinal predictors of psychological distress and self-esteem in people with ALS.
Goldstein, L H; Atkins, L; Landau, S; Brown, R G; Leigh, P N
2006-11-14
To identify predictors of psychological distress (measured by anxiety and depression) and low self-esteem and to determine whether these change over time in people with ALS. We interviewed 50 patients with ALS living with a spouse/partner; further interviews were held at median intervals of 6 and then 5 months. Although carers were interviewed, we report the patients' data. Patients completed measures about their social support and marital relationship; the functional impact of ALS; everyday cognitive, emotional, and behavioral changes; symptoms of anxiety and depression; and self-esteem. The ALS Severity Scale was also completed. From the initial sample of 50, 26 patients were interviewed on all three occasions. At the first interview, negative social support and bulbar impairment were most predictive of psychological distress; pre-illness marital intimacy was the best predictor of patients' self-esteem. Over time, negative social support and pre-illness marital intimacy retained an ability to predict patients' affective state and self-esteem. Social factors are important in determining longer-term psychological well-being in people with ALS who are in the relatively early stages of the disease.
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Predictors of effects of lifestyle intervention on diabetes mellitus type 2 patients.
Jacobsen, Ramune; Vadstrup, Eva; Røder, Michael; Frølich, Anne
2012-01-01
The main aim of the study was to identify predictors of the effects of lifestyle intervention on diabetes mellitus type 2 patients by means of multivariate analysis. Data from a previously published randomised clinical trial, which compared the effects of a rehabilitation programme including standardised education and physical training sessions in the municipality's health care centre with the same duration of individual counseling in the diabetes outpatient clinic, were used. Data from 143 diabetes patients were analysed. The merged lifestyle intervention resulted in statistically significant improvements in patients' systolic blood pressure, waist circumference, exercise capacity, glycaemic control, and some aspects of general health-related quality of life. The linear multivariate regression models explained 45% to 80% of the variance in these improvements. The baseline outcomes in accordance to the logic of the regression to the mean phenomenon were the only statistically significant and robust predictors in all regression models. These results are important from a clinical point of view as they highlight the more urgent need for and better outcomes following lifestyle intervention for those patients who have worse general and disease-specific health.
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Torres, César Iván
2014-06-01
The development of microbial electrochemistry research toward technological applications has increased significantly in the past years, leading to many process configurations. This short review focuses on the need to identify and characterize the fundamental phenomena that control the performance of microbial electrochemical cells (MXCs). Specifically, it discusses the importance of recent efforts to discover and characterize novel microorganisms for MXC applications, as well as recent developments to understand transport limitations in MXCs. As we increase our understanding of how MXCs operate, it is imperative to continue modeling efforts in order to effectively predict their performance, design efficient MXC technologies, and implement them commercially. Thus, the success of MXC technologies largely depends on the path of identifying, understanding, and predicting fundamental phenomena that determine MXC performance. Copyright © 2013 Elsevier Ltd. All rights reserved.
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Predictors of Heterosexual College Students' Attitudes toward LGBT People
Woodford, Michael R.; Silverschanz, Perry; Swank, Eric; Scherrer, Kristin S.; Raiz, Lisa
2012-01-01
This study identifies the predictors of U.S. heterosexual undergraduate and graduate college students' attitudes toward lesbian, gay, bisexual, and transgender (LGBT) people as a group rather than toward individual identities. Findings suggest that affirming LGBT attitudes are most strongly associated with liberal political ideology and whether…
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Predictors of long term opioid withdrawal outcome after short-term stabilization with buprenorphine.
Saleh, M I
2014-01-01
We aim to examine predictors of opiate abstinence status 3 months after the end of buprenorphine/naloxone treatment for opioid-dependent participants. Participants (n= 516, age > 15 years) received buprenorphine/ naloxone treatment for 4 weeks and then randomly assigned to undergo dose tapering over either 7 days or 28 days. Bivariate analysis was performed to identify possible predictors of successful opiate abstinence outome (p-value opioid and drug urine tests result at the end taper; employment status, family problems, and alcohol use domains of addiction severity index (ASI) score; and clinical opiate withdrawal scale (COWS) at the end of stabilization. Final predictor list identified by logistic regression include: ASI score for family and alcohol problems, COWS at the end of stabilization and opiate urine test at the end of taper. Participants presenting with a negative urine test for opiate, more severe alcohol, more severe family problems, or more symptoms of opiate withdrawal at the end of stabilization were more likely to have a successful opiate abstinence.
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Directory of Open Access Journals (Sweden)
Hallett Robin M
2012-05-01
Full Text Available Abstract Background The efficacy of chemotherapy regimens in breast cancer patients is variable and unpredictable. Whether individual patients either achieve long-term remission or suffer recurrence after therapy may be dictated by intrinsic properties of their breast tumors including genetic lesions and consequent aberrant transcriptional programs. Global gene expression profiling provides a powerful tool to identify such tumor-intrinsic transcriptional programs, whose analyses provide insight into the underlying biology of individual patient tumors. For example, multi-gene expression signatures have been identified that can predict the likelihood of disease reccurrence, and thus guide patient prognosis. Whereas such prognostic signatures are being introduced in the clinical setting, similar signatures that predict sensitivity or resistance to chemotherapy are not currently clinically available. Methods We used gene expression profiling to identify genes that were co-expressed with genes whose transcripts encode the protein targets of commonly used chemotherapeutic agents. Results Here, we present target based expression indices that predict breast tumor response to anthracycline and taxane based chemotherapy. Indeed, these signatures were independently predictive of chemotherapy response after adjusting for standard clinic-pathological variables such as age, grade, and estrogen receptor status in a cohort of 488 breast cancer patients treated with adriamycin and taxotere/taxol. Conclusions Importantly, our findings suggest the practicality of developing target based indices that predict response to therapeutics, as well as highlight the possibility of using gene signatures to guide the use of chemotherapy during treatment of breast cancer patients.
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DEFF Research Database (Denmark)
Kristensen, Søren L; Jhund, Pardeep S; Køber, Lars
2015-01-01
of NT-proBNP (n = 1468) (HR: 3.19; 95% CI: 2.68 to 3.80). In patients with no recent HF hospitalization and NT-proBNP ≤360 pg/ml (n = 1,187), the event rate was 2.43 (95% CI: 2.03 to 2.90) compared with 17.79 (95% CI: 15.77 to 20.07) per 100 person-years when both risk predictors were present (n = 523......; HR: 6.18; 95% CI: 4.96 to 7.69). CONCLUSIONS: Recent hospitalization for HF or an elevated level of NT-proBNP identified patients at higher risk for cardiovascular events, and this risk was increased further when both factors were present.......OBJECTIVES: The aim of this study was to investigate N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels and recent heart failure (HF) hospitalization as predictors of future events in heart failure - preserved ejection fraction (HF-PEF). BACKGROUND: Recently, doubt has been expressed...
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Sociodemographic predictors of latent class membership of problematic and disordered gamblers
Directory of Open Access Journals (Sweden)
Richard J.E. James
2016-06-01
Full Text Available This paper reports a series of analyses examining the predictors of gambling subtypes identified from a latent class analysis of problem gambling assessment data, pooled from four health and gambling surveys conducted in Britain between 2007 and 2012. Previous analyses have indicated that gambling assessments have a consistent three class structure showing quantitative and potentially qualitative differences. Bringing this data together is useful for studying more severe problem gamblers, where the small number of respondents has been a chronic limitation of gambling prevalence research. Predictors were drawn from sociodemographic indicators and engagement with other legal addictive behaviours, namely smoking and alcohol consumption. The pooled data was entered into a multinomial logistic regression model in which class membership was regressed along a series of demographic variables and survey year, based on previous analyses of gambling prevalence data. The results identified multiple demographic differences (age, general health, SES, being single, membership of ethnic minority groups between the non-problem and two classes endorsing some problem gambling indicators. Although these two groups tended to share a sociodemographic profile, the odds of being male, British Asian and a smoker increased between the three groups in line with problem gambling severity. Being widowed was also found to be associated with the most severe gambling class. A number of associations were also observed with other addictive behaviours. However these should be taken as indicative as these were limited subsamples of a single dataset. These findings identify specific groups in which gambling problems are more prevalent, and highlight the importance of the interaction between acute and determinant aspects of impulsivity, suggesting that a more complex account of impulsivity should be considered than is currently present in the gambling literature.
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Borst, A; Theelen, B; Reinders, E; Boekhout, T; Fluit, AC; Savelkoul, PHM
Non-Candida albicans Candida species are increasingly being isolated. These species show differences in levels of resistance to antimycotic agents and mortality. Therefore, it is important to be able to correctly identify the causative organism to the species level. Identification of C. dubliniensis
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Borst, A; Theelen, B; Reinders, E; Boekhout, T; Fluit, AC; Savelkoul, P.H.M.
2003-01-01
Non-Candida albicans Candida species are increasingly being isolated. These species show differences in levels of resistance to antimycotic agents and mortality. Therefore, it is important to be able to correctly identify the causative organism to the species level. Identification of C. dubliniensis
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Malak, Malakeh Z
2017-06-01
Assessment and evaluation of the health-related quality of life of industrial workers is an important research focus. This descriptive correlational study identifies the predictors of health-related quality of life using a random sampling of industrial workers (n = 640) from construction factories in Amman Governorate in Jordan using demographic characteristics, a health and work-related factors questionnaire, and the World Health Organization Quality of Life-Brief scale. Results showed that industrial workers had good physical health but a poor working environment. There was a statistically significant relationship between educational level, conflict between work and individual life and work and social life, working hours, and workload, and all domains of health-related quality of life. Overall, educational level was the main predictor for all domains of health-related quality of life. Such results confirm the need to develop appropriate interventions and strategies to improve workers' health-related quality of life. Furthermore, developing an integrated approach among policymakers, employers, and work organizations to enhance industrial workers' occupational health programs could be effective. © 2017 John Wiley & Sons Australia, Ltd.
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Predictors of abnormal chest CT after blunt trauma: a critical appraisal of the literature
International Nuclear Information System (INIS)
Brink, M.; Kool, D.R.; Dekker, H.M.; Deunk, J.; Jager, G.J.; Kuijk, C. van; Edwards, M.J.R.; Blickman, J.G.
2009-01-01
Aim: To identify and to evaluate predictors that determine whether chest computed tomography (CT) is likely to reveal relevant injuries in adult blunt trauma patients. Methods: After a comprehensive literature search for original studies on blunt chest injury diagnosis, two independent observers included studies on the accuracy of parameters derived from history, physical examination, or diagnostic imaging that might predict injuries at (multidetector row) CT in adults and that allowed construction of 2 x 2 contingency tables. For each article, methodological quality was scored and relevant predictors for injuries at CT were extracted. For each predictor, sensitivity, specificity, positive and negative likelihood ratio and diagnostic odds ratio (DOR) including 95% confidence intervals were calculated. Results: Of 147 articles initially identified, the observers included 10 original studies in consensus. Abnormalities at physical examination (abnormal respiratory effort, need for assisted ventilation, reduced airentry, coma, chest wall tenderness) and pelvic fractures were significant predictors (DOR: 2.1-6.7). The presence of any injuries at conventional radiography of the chest (eight articles) was a more powerful significant predictor (DOR: 2.2-37). Abnormal chest ultrasonography (four articles) was the most accurate predictor for chest injury at CT (DOR: 491-infinite). Conclusion: The current literature indicates that in blunt trauma patients with abnormal physical examination, abnormal conventional radiography, or abnormal ultrasonography of the chest, CT was likely to reveal relevant chest injuries. However, there was no strong evidence to suggest that CT could be omitted in patients without these criteria, or whether these findings are beneficial for patients
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Case-Mix Variables and Predictors for Outcomes of Laparoscopic Hysterectomy: A Systematic Review.
Driessen, Sara R C; Sandberg, Evelien M; la Chapelle, Claire F; Twijnstra, Andries R H; Rhemrev, Johann P T; Jansen, Frank Willem
2016-01-01
The assessment of surgical quality is complex, and an adequate case-mix correction is missing in currently applied quality indicators. The purpose of this study is to give an overview of all studies mentioning statistically significant associations between patient characteristics and surgical outcomes for laparoscopic hysterectomy (LH). Additionally, we identified a set of potential case-mix characteristics for LH. This systematic review was conducted according to the Meta-Analysis of Observational Studies in Epidemiology guidelines. We searched PubMed and EMBASE from January 1, 2000 to August 1, 2015. All articles describing statistically significant associations between patient characteristics and adverse outcomes of LH for benign indications were included. Primary outcomes were blood loss, operative time, conversion, and complications. The methodologic quality of the included studies was assessed using the Newcastle-Ottawa Quality Assessment Scale. The included articles were summed per predictor and surgical outcome. Three sets of case-mix characteristics were determined, stratified by different levels of evidence. Eighty-five of 1549 identified studies were considered eligible. Uterine weight and body mass index (BMI) were the most mentioned predictors (described, respectively, 83 and 45 times) in high quality studies. For longer operative time and higher blood loss, uterine weight ≥ 250 to 300 g and ≥500 g and BMI ≥ 30 kg/m(2) dominated as predictors. Previous operations, adhesions, and higher age were also considered as predictors for longer operative time. For complications and conversions, the patient characteristics varied widely, and uterine weight, BMI, previous operations, adhesions, and age predominated. Studies of high methodologic quality indicated uterine weight and BMI as relevant case-mix characteristics for all surgical outcomes. For future development of quality indicators of LH and to compare surgical outcomes adequately, a case
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Electroconvulsive therapy: predictors and trends in utilization from 1976 to 2000
DEFF Research Database (Denmark)
Munk-Olsen, Trine; Laursen, Thomas Munk; Videbech, Poul
2006-01-01
with bipolar and schizoaffective disorders received the treatment in 2000 compared with 1976. CONCLUSIONS: Unipolar affective disorders, long duration of admissions, and no history of previous admissions are strong predictors of receiving first ECT. Despite a decrease in available inpatient beds, the treatment......BACKGROUND: Use of electroconvulsive therapy (ECT) may have changed during the last decades due to advances in psychopharmacology and organizational changes of psychiatric care. OBJECTIVES: To identify predictors for receiving ECT for the first time and to describe temporal trends in ECT...... utilization. METHODS: A register-based case-control study. The sample included 2010 cases treated with ECT between 1976 and 2000 and 148,284 controls. RESULTS: Predictors for receiving first ECT were unipolar affective disorders, long admissions, and no previous admissions. Significantly fewer patients...
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Electroconvulsive therapy: predictors and trends in utilization from 1976 to 2000
DEFF Research Database (Denmark)
Munk-Olsen, Trine; Laursen, Thomas Munk; Videbech, Poul
2006-01-01
BACKGROUND: Use of electroconvulsive therapy (ECT) may have changed during the last decades due to advances in psychopharmacology and organizational changes of psychiatric care. OBJECTIVES: To identify predictors for receiving ECT for the first time and to describe temporal trends in ECT...... utilization. METHODS: A register-based case-control study. The sample included 2010 cases treated with ECT between 1976 and 2000 and 148,284 controls. RESULTS: Predictors for receiving first ECT were unipolar affective disorders, long admissions, and no previous admissions. Significantly fewer patients...... with bipolar and schizoaffective disorders received the treatment in 2000 compared with 1976. CONCLUSIONS: Unipolar affective disorders, long duration of admissions, and no history of previous admissions are strong predictors of receiving first ECT. Despite a decrease in available inpatient beds, the treatment...
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Taylor, Catherine A; McKasson, Sarah; Hoy, Guenevere; DeJong, William
2017-02-01
Despite the risk it poses to children's mental and physical health, approval and use of corporal punishment (CP) remains high in the United States. Informed by the Theory of Planned Behavior, we examined potential predictors of attitudes supportive of CP while assessing the moderating effects of parents' (N=500) chosen primary professional source of advice regarding child discipline: pediatricians (47.8%), religious leaders (20.8%), mental health professionals (MHPs) (n=18.4%), or other identified professionals (13.0%). We conducted a random-digit-dial telephone survey among parents ages 18 and over within New Orleans, LA. The main outcome measure was derived from the Attitudes Toward Spanking scale (ATS). The main "predictors" were: perceived injunctive norms (i.e., perceived approval of CP by professionals; and by family and friends), perceived descriptive norms of family and friends regarding CP, and expected outcomes of CP use. We used multivariate OLS models to regress ATS scores on the predictor variables for each subset of parents based on their chosen professional source of advice. Perceived approval of CP by professionals was the strongest predictor of parental attitudes supportive of CP, except for those seeking advice from MHPs. Perceived injunctive and descriptive norms of family and friends were important, but only for those seeking advice from pediatricians or religious leaders. Positive expected outcomes of CP mattered, but only for those seeking advice from religious leaders or MHPs. In conclusion, the strength and relevance of variables predicting attitudes toward CP varied according to the professional from which the parent was most likely to seek advice.
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Uwizeye, U.A.; Groen, E.A.; Gerber, P.J.; Schulte, Rogier P.O.; Boer, de I.J.M.
2016-01-01
The study aims to illustrate a method to identify important input parameters that explain most of the output variance ofenvironmental assessment models. The method is tested for the computation of life-cycle nitrogen (N) use efficiencyindicators among mixed dairy production systems in Rwanda. We
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Predictors for oral cancer in Brazil
Isabella Lima Arrais RIBEIRO; Johnys Berton Medeiros da NÓBREGA; Ana Maria Gondim VALENÇA; Ricardo Dias de CASTRO
2017-01-01
Abstract Introduction The incidence of lip, oral cavity and oropharynx cancer in Brazil is one of the highest worldwide. Objective This study aimed to identify predictors for oral cancer in Brazil between 2010 and 2013. Method Through a time series study in which 14,959 primary head and neck cancer diagnoses were evaluated. The variables of interest were gender, age, race, education level, family history of cancer, alcohol consumption, smoking, and previous cancer diagnosis. The outcome va...
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Ursum, J.; Horsten, N.C.; Hoeksma, A.F.; Dijkmans, B.A.C.; Knol, D.L.; van Schaardenburg, D.; Dekker, J.; Roorda, L.D.
2011-01-01
Ursum J, Horsten NC, Hoeksma AF, Dijkmans BA, Knol DL, van Schaardenburg D, Dekker J, Roorda LD. Predictors of stenosing tenosynovitis in the hand and hand-related activity limitations in patients with rheumatoid arthritis. Objectives To identify early predictors of stenosing tenosynovitis in the
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Energy Technology Data Exchange (ETDEWEB)
Huang, Jiayi, E-mail: jhuang@radonc.wustl.edu [Department of Radiation Oncology, Washington University School of Medicine, St Louis, Missouri (United States); DeWees, Todd A.; Badiyan, Shahed N.; Speirs, Christina K.; Mullen, Daniel F.; Fergus, Sandra [Department of Radiation Oncology, Washington University School of Medicine, St Louis, Missouri (United States); Tran, David D.; Linette, Gerry; Campian, Jian L. [Division of Medical Oncology, Department of Medicine, Washington University School of Medicine, St Louis, Missouri (United States); Chicoine, Michael R.; Kim, Albert H.; Dunn, Gavin [Department of Neurosurgery, Washington University School of Medicine, St Louis, Missouri (United States); Simpson, Joseph R.; Robinson, Clifford G. [Department of Radiation Oncology, Washington University School of Medicine, St Louis, Missouri (United States)
2015-08-01
Purpose: Acute severe lymphopenia (ASL) frequently develops during radiation therapy (RT) and concurrent temozolomide (TMZ) for high-grade glioma (HGG) and is associated with decreased survival. The current study was designed to identify potential predictors of ASL, with a focus on actionable RT-specific dosimetric parameters. Methods and Materials: From January 2007 to December 2012, 183 patients with HGG were treated with RT+TMZ and had available data including total lymphocyte count (TLC) and radiation dose-volume histogram parameters. ASL was defined as TLC of <500/μL within the first 3 months from the start of RT. Stepwise logistic regression analysis was used to determine the most important predictors of ASL. Results: Fifty-three patients (29%) developed ASL. Patients with ASL had significantly worse overall survival than those without (median: 12.5 vs 20.2 months, respectively, P<.001). Stepwise logistic regression analysis identified female sex (odds ratio [OR]: 5.30; 95% confidence interval [CI]: 2.46-11.41), older age (OR: 1.05; 95% CI: 1.02-1.09), lower baseline TLC (OR: 0.92; 95% CI: 0.87-0.98), and higher brain volume receiving 25 Gy (V{sub 25Gy}) (OR: 1.03; 95% CI: 1.003-1.05) as the most significant predictors for ASL. Brain V{sub 25Gy} <56% appeared to be the optimal threshold (OR: 2.36; 95% CI: 1.11-5.01), with an ASL rate of 38% versus 20% above and below this threshold, respectively (P=.006). Conclusions: Female sex, older age, lower baseline TLC, and higher brain V{sub 25Gy} are significant predictors of ASL during RT+TMZ therapy for HGG. Maintaining the V{sub 25Gy} of brain below 56% may reduce the risk of ASL.
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Directory of Open Access Journals (Sweden)
Zhao Li
risk classification (p<0.001. Univariate Cox regression model identified clinical risk classification (RR: 3.011, 95%CI: 0.796-7.882, P = 0.095 as a good predictor for recurrence-free survival (RFS in patients with clinical stage IA lung adenocarcinoma. Statistical significance of 5-year OS and RFS was noted among clinical low-, moderate- and high-risk groups (log-rank, p = 0.024 and 0.010.The AVG and the S/T ratio by reconstructed 3D-CT are important preoperative radiologic predictors for pathologic risk grading. The two cutoff values of AVG and S/T ratio are recommended in decision-making for patients with clinical stage IA lung adenocarcinoma with ground glass components.
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Flynn, Emma; Whiten, Andrew
2012-01-01
In one of the first open diffusion experiments with young children, a tool-use task that afforded multiple methods to extract an enclosed reward and a child model habitually using one of these methods were introduced into different playgroups. Eighty-eight children, ranging in age from 2 years 8 months to 4 years 5 months, participated. Measures were taken of how alternative methods and success in extracting rewards spread across the different groups. Additionally, the biographic, social, cognitive, and temperamental predictors of social learning were investigated. Variations in social learning were related to age, popularity, dominance, impulsivity, and shyness, while other factors such as sex, theory of mind, verbal ability, and even imitativeness showed little association with variance in children's information acquisition. © 2012 The Authors. Child Development © 2012 Society for Research in Child Development, Inc.
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Casavechia, Maria Teresinha Gomes; Lonardoni, Maria Valdrinez Campana; Venazzi, Eneide Aparecida Sabaini; Campanerut-Sá, Paula Aline Zanetti; da Costa Benalia, Hugo Rafael; Mattiello, Matheus Felipe; Menechini, Pedro Victor Lazaretti; Dos Santos, Carlos Aparecido; Teixeira, Jorge Juarez Vieira
2016-06-01
Approximately 2 billion people are infected with soil-transmitted helminths worldwide, mainly in tropical and subtropical areas. This research aimed to investigate the prevalence and predictors associated with parasitic infections in primary health care. A cross-sectional study was performed with a large random sample to identify the prevalence and predictors associated with parasitic infections in primary health care in Marialva, southern Brazil, from April 2011 to September 2013. Stool samples from 775 individuals were analyzed for the presence of protozoan cysts, helminth eggs, and larvae. The overall prevalence of intestinal parasites was 13.94 %, and the prevalence of protozoa and helminths was 15.1 and 2.9 %, respectively. The predictor variables that were associated with intestinal parasites were male gender odds ratio (OR) 1.60, 95 % confidence interval (CI 1.10-2.40) and the absence of a kitchen garden (OR 2.28, 95 % CI, 1.08-4.85). Positive associations were found between Giardia duodenalis and individuals aged ≤18 with high risk (OR 19.0, 95 % CI 2.16-167.52), between Endolimax nana and the absence of a kitchen garden (p < 0.01), and between Trichuris trichiura and the presence of a kitchen garden (p = 0.014). Polyparasitism was present in 27.27 % of infected individuals. Our findings confirmed a relatively low prevalence in primary care, compared to international standards, despite the rare publications in the area. As variables, male gender and the absence of a kitchen garden stood out as important predictors. It is highly relevant that the health conditions of the population comply with consistent standards.
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PCR-RFLP Method to Identify Salmonid Species of Economic Importance
Directory of Open Access Journals (Sweden)
Andreea Dudu
2011-05-01
Full Text Available The identification of different fish species by molecular methods has become necessary to avoid both the incorrect labelling of individuals involved in repopulation programmes and the commercial frauds on the fish market. Different fish species of great economical importance, like the salmonids, which are very much requested for their meat, can be identified using molecular techniques such as PCR-RFLP. The method is based on the amplification of a target region from the genome by PCR reaction followed by endonucleases digestion to detect the polymorphism of restriction fragments. In our study we analysed the following salmonid species from Romania: Salmo trutta fario, Salmo labrax, Salvelinus fontinalis, Onchorhynchus mykiss, Thymallus thymallus and Hucho hucho. In order to discriminate between the analysed species we amplified a fragment of mitochondrial genome comprising tRNAGlu/ cytochrome b/ tRNAThr/ tRNAPro/ D-loop/ tRNAPhe, followed by digestion with a specific restriction enzyme. The direct digestion of unpurified PCR products generated species-specific restriction patterns and proved to be a simple, reliable, inexpensive and fast method. Thus, it may be successfully utilized in specialized laboratories for the correct identification of the fish species for multiple purposes, including the traceability of fish food products.
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Predictors of social anxiety in an opioid dependent sample and a control sample
Shand, Fiona L.; Degenhardt, Louisa; Nelson, Elliot C.; Mattick, Richard P.
2010-01-01
Compared to other mental health problems, social anxiety is under-acknowledged amongst opioid dependent populations. This study aimed to assess levels of social anxiety and identify its predictors in an opioid dependent sample and a matched control group. Opioid dependent participants (n = 1385) and controls (n = 417) completed the Social Interaction Anxiety Scale (SIAS), the Social Phobia Scale (SPS) and a diagnostic interview. Regression analyses were used to test a range of predictors of s...
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Predictors of Burnout Syndrome Among Healthcare Workers in Hospitals
Directory of Open Access Journals (Sweden)
Janine Kieling Monteiro
2016-06-01
Full Text Available This research aims at identifying sociodemographic and laboral predictors of burnout syndrome in 182 health workers in the hospital setting. It uses a questionnaire, Maslach Burnout Inventory, and a working context scale. In the analysis of the data a multiple regression analysis was employed. Interviewees' considering their profession as stressful was the most revealing variable with regards to the Emotional Exhaustion dimension and the low level of Professional Efficacy. As predictor variables to Cynicism the research points to negative working environments, stress upon dealing with male patients. The risk profile for burnout syndrome includes higher schooled professionals, old-timers and those who perceive their job, work scale, type and quantity of patients as stressing factors.
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Predictors of Home Deliveries in Rakai District, Uganda | Nuwaha ...
African Journals Online (AJOL)
In order to identify independent predictors for home delivery, 211 women from 21 clusters, who had a delivery in the previous one year, were interviewed in Rakai District, Uganda, from June 2 to 30, 1997. Mothers answered questions regarding socio-economic, local, reproductive and self-efficacy variables and whether ...
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Predictors of outcome for cognitive behaviour therapy in binge eating disorder.
Lammers, Mirjam W; Vroling, Maartje S; Ouwens, Machteld A; Engels, Rutger C M E; van Strien, Tatjana
2015-05-01
The aim of this naturalistic study was to identify pretreatment predictors of response to cognitive behaviour therapy in treatment-seeking patients with binge eating disorder (BED; N = 304). Furthermore, we examined end-of-treatment factors that predict treatment outcome 6 months later (N = 190). We assessed eating disorder psychopathology, general psychopathology, personality characteristics and demographic variables using self-report questionnaires. Treatment outcome was measured using the bulimia subscale of the Eating Disorder Inventory 1. Predictors were determined using hierarchical linear regression analyses. Several variables significantly predicted outcome, four of which were found to be both baseline predictors of treatment outcome and end-of-treatment predictors of follow-up: Higher levels of drive for thinness, higher levels of interoceptive awareness, lower levels of binge eating pathology and, in women, lower levels of body dissatisfaction predicted better outcome in the short and longer term. Based on these results, several suggestions are made to improve treatment outcome for BED patients. Copyright © 2015 John Wiley & Sons, Ltd and Eating Disorders Association.
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Fall predictors in older cancer patients: a multicenter prospective study.
Vande Walle, Nathalie; Kenis, Cindy; Heeren, Pieter; Van Puyvelde, Katrien; Decoster, Lore; Beyer, Ingo; Conings, Godelieve; Flamaing, Johan; Lobelle, Jean-Pierre; Wildiers, Hans; Milisen, Koen
2014-12-15
In the older population falls are a common problem and a major cause of morbidity, mortality and functional decline. The etiology is often multifactorial making the identification of fall predictors essential for preventive measures. Despite this knowledge, data on falls within the older cancer population are limited. The objective of this study was to evaluate the occurrence of falls within 2 to 3 months after cancer treatment decision and to identify predictors of falls (≥1 fall) during follow-up. Older patients (70 years or more) with a cancer treatment decision were included. At baseline, all patients underwent geriatric screening (G8 and Flemish Triage Risk Screening Tool), followed by a geriatric assessment including living situation, activities of daily living (ADL), instrumental activities of daily living (IADL), fall history in the past 12 months, fatigue, cognition, depression, nutrition, comorbidities and polypharmacy. Questionnaires were used to collect follow-up (2-3 months) data. Univariate and multivariate analyses were performed to identify predictors for falls (≥1 fall) during follow-up. At baseline, 295 (31.5%) of 937 included patients reported at least one fall in the past 12 months with 88 patients (29.5%) sustaining a major injury. During follow-up (2-3 months), 142 (17.6%) patients fell, of whom 51.4% fell recurrently and 17.6% reported a major injury. Baseline fall history in the past 12 months (OR = 3.926), fatigue (OR = 0.380), ADL dependency (OR = 0.492), geriatric risk profile by G8 (OR = 0.471) and living alone (OR = 1.631) were independent predictors of falls (≥1 fall) within 2-3 months after cancer treatment decision. Falls are a serious problem among older cancer patients. Geriatric screening and assessment data can identify patients at risk for a fall. A patient with risk factors associated with falls should undergo further evaluation and intervention to prevent potentially injurious fall incidents.
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Predictors of business return in New Orleans after Hurricane Katrina.
Directory of Open Access Journals (Sweden)
Nina S N Lam
Full Text Available We analyzed the business reopening process in New Orleans after Hurricane Katrina, which hit the region on August 29, 2005, to better understand what the major predictors were and how their impacts changed through time. A telephone survey of businesses in New Orleans was conducted in October 2007, 26 months after Hurricane Katrina. The data were analyzed using a modified spatial probit regression model to evaluate the importance of each predictor variable through time. The results suggest that the two most important reopening predictors throughout all time periods were the flood depth at the business location and business size as represented by its wages in a logarithmic form. Flood depth was a significant negative predictor and had the largest marginal effects on the reopening probabilities. Smaller businesses had lower reopening probabilities than larger ones. However, the nonlinear response of business size to the reopening probability suggests that recovery aid would be most effective for smaller businesses than for larger ones. The spatial spillovers effect was a significant positive predictor but only for the first nine months. The findings show clearly that flood protection is the overarching issue for New Orleans. A flood protection plan that reduces the vulnerability and length of flooding would be the first and foremost step to mitigate the negative effects from climate-related hazards and enable speedy recovery. The findings cast doubt on the current coastal protection efforts and add to the current debate of whether coastal Louisiana will be sustainable or too costly to protect from further land loss and flooding given the threat of sea-level rise. Finally, a plan to help small businesses to return would also be an effective strategy for recovery, and the temporal window of opportunity that generates the greatest impacts would be the first 6∼9 months after the disaster.
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Predictors of business return in New Orleans after Hurricane Katrina.
Lam, Nina S N; Arenas, Helbert; Pace, Kelley; LeSage, James; Campanella, Richard
2012-01-01
We analyzed the business reopening process in New Orleans after Hurricane Katrina, which hit the region on August 29, 2005, to better understand what the major predictors were and how their impacts changed through time. A telephone survey of businesses in New Orleans was conducted in October 2007, 26 months after Hurricane Katrina. The data were analyzed using a modified spatial probit regression model to evaluate the importance of each predictor variable through time. The results suggest that the two most important reopening predictors throughout all time periods were the flood depth at the business location and business size as represented by its wages in a logarithmic form. Flood depth was a significant negative predictor and had the largest marginal effects on the reopening probabilities. Smaller businesses had lower reopening probabilities than larger ones. However, the nonlinear response of business size to the reopening probability suggests that recovery aid would be most effective for smaller businesses than for larger ones. The spatial spillovers effect was a significant positive predictor but only for the first nine months. The findings show clearly that flood protection is the overarching issue for New Orleans. A flood protection plan that reduces the vulnerability and length of flooding would be the first and foremost step to mitigate the negative effects from climate-related hazards and enable speedy recovery. The findings cast doubt on the current coastal protection efforts and add to the current debate of whether coastal Louisiana will be sustainable or too costly to protect from further land loss and flooding given the threat of sea-level rise. Finally, a plan to help small businesses to return would also be an effective strategy for recovery, and the temporal window of opportunity that generates the greatest impacts would be the first 6∼9 months after the disaster.
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Predictors of performance on the MMSE and the DRS-2 among American Indian elders.
Jervis, Lori L; Fickenscher, Alexandra; Beals, Janette; Cullum, C Munro; Novins, Douglas K; Manson, Spero M; Arciniegas, David B
2010-01-01
Little is known about factors that predict older American Indians' performance on cognitive tests. This study examined 137 American Indian elders' performance on the MMSE and the Dementia Rating Scale-Second Edition (DRS-2). Multivariate regression identified younger age, more education, not receiving Supplemental Security Income, and frequent receipt of needed health care as predictors of better performance on the MMSE. Better performance on the DRS-2 was predicted by more education, boarding school attendance, not receiving Supplemental Security Income, and frequent receipt of needed health care. This study points to the importance of economic and educational factors on cognitive test performance among American Indian elders.
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Van der Velden, U.; Abbas, F.; Armand, S.; Loos, B. G.; Timmerman, M. F.; Van der Weijden, G. A.; Van Winkelhoff, A. J.; Winkel, E. G.
Objective: To identify risk factors, risk predictors and risk determinants for onset and progression of periodontitis. Material and Methods: For this longitudinal, prospective study all subjects in the age range 15-25 years living in a village of approximately 2000 inhabitants at a tea estate on
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Directory of Open Access Journals (Sweden)
Yulia Stukalina
2014-06-01
Full Text Available Nowadays, the quality of educational services provided by a university is a crucial aspect of the education managers’ strategy in the customer-driven education context, quality assurance in education being an essential issue to be promoted in European higher education institutions. Students’ evaluation of the educational services (that is consumer-oriented assessment can be regarded as one of the most significant educational management tools used for stimulating quality enhancement in a university. It is vital for supporting decision-making process. A special emphasis may be put on monitoring student satisfaction with the educational services and student motivation toward studies. Understanding the central factors that are supposed to influence and predict student satisfaction and student motivation may provide education managers with best possible solutions to improve quality of the educational services in a higher education institution. This paper presents the results of an empirical study performed in Riga Technical University. The study was aimed at identifying the basic determinants (predictors of student satisfaction and motivation in the framework of the ESP (English for Specific Purposes course.
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The cross-cultural variation of predictors of human papillomavirus vaccination intentions.
Lechuga, Julia; Swain, Geoffrey R; Weinhardt, Lance S
2011-02-01
The influence of health beliefs on human papillomavirus (HPV) vaccine acceptability have been extensively documented in past research. However, studies documenting the generalizability of prior findings to culturally diverse participants are lacking. The importance of generalizability studies is underscored by the immense disparities in cervical cancer rates across ethnicities. Moreover, theory in cultural psychology suggests that beliefs derived from personal expectations may not be the strongest predictors of intentions in individuals socialized in collectivist cultures. The purpose of this research was to investigate the strongest predictors of mothers' intentions to vaccinate their daughters across three cultural groups: Hispanic, non-Hispanic white, and African American. One hundred fifty mothers were recruited from Public Health Department clinics in Milwaukee, Wisconsin. Mothers were asked to answer measures that assessed personal and normative predictors of intentions. Results indicated that predictors of vaccination intentions varied cross-culturally. Specifically, culture moderated the influence of norms on intentions. Interventions designed for Hispanics may be more effective if norms, rather than attitudes, are targeted.
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Nikanjam, Mina; Stewart, Clinton F; Takimoto, Chris H; Synold, Timothy W; Beaty, Orren; Fouladi, Maryam; Capparelli, Edmund V
2015-03-01
To characterize the determinants of variability for oxaliplatin pharmacokinetics including age, renal function, and hepatic function in children and adults. Oxaliplatin pharmacokinetic data were combined from phase I and II clinical trials: three pediatric trials (Peds1-3) and two adult NCI organ dysfunction studies (Hepatic and Renal). A population pharmacokinetic model was developed utilizing platinum ultrafiltrate concentrations to characterize changes in oxaliplatin disposition with age and organ dysfunction along with other potential sources of oxaliplatin pharmacokinetic variability. A total of 1,508 concentrations from 186 children and adults were used in the study. The data were well described by a three-compartment model. Serum creatinine (SCR) was an independent predictor of clearance (CL) while age was an independent predictor of volume of distribution. Although age was a significant covariate on CL in the univariate analysis, age effects on CL were entirely accounted for by SCR. Gender, hepatic function, and race had no effect on CL or volume of distribution. Median CL values were 0.58 (Hepatic), 0.34 (Renal), 0.78 (Peds1), 0.74 (Peds2), and 0.81 (Peds3) (L/h/kg(0.75)). Monte Carlo simulations of the final model with 130 mg/m(2) yielded median AUC values of: 14.2 (2-6 years), 16.8 (6-12 years), 16.5 (12-18 years), and 17.3 (>18 years) (µg h/mL). Renal function had the greatest effect on CL with a small age effect seen on the distribution of oxaliplatin. Young pediatric patients had higher CL values than adults as a result of better renal function.
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Directory of Open Access Journals (Sweden)
Raquel Lorenzo
2007-07-01
Full Text Available The knowledge of talent predictors is the initial point for building diagnosis and encouragement procedures in this field. The meaning of word predictor is to anticipate the future, to divine. Early prediction of high performance is complex problem no resolute by the science yet. There are many discrepancies about what measure and how to do. The article analyze the art state in this problematic because the excellence is determined by the interaction between internal and environmental factors.
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Gates, Peter J; Norberg, Melissa M; Dillon, Paul; Manocha, Ramesh
2013-01-01
The high prevalence of cannabis use by Australian secondary school students makes schools an ideal setting for the delivery of substance use prevention programs. Although efficacious school-based cannabis prevention programs exist, there is scant research investigating the perceived role legitimacy and role importance of school staff. As such, this study surveyed a sample of 1691 Australian school staff by utilizing Generation Next seminars which are attended by professionals working with young people. The self-completed survey identified that, despite elevated contact with students relative to other school staff, teachers reported the least role importance and legitimacy of all school staff. Further, teachers reported the lowest level of staff drug education training, which was an important predictor of an increased feeling of role importance and legitimacy among school staff.
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Nakamura, Kohki; Naito, Shigeto; Sasaki, Takehito; Minami, Kentaro; Take, Yutaka; Shimizu, Satoru; Yamaguchi, Yoshiaki; Yano, Toshiaki; Senga, Michiharu; Yamashita, Eiji; Sugai, Yoshinao; Kumagai, Koji; Funabashi, Nobusada; Oshima, Shigeru
2016-12-01
We aimed to identify the predictors of chronic pulmonary vein reconnections (CPVRs) after contact force (CF)-guided circumferential PV isolation (CPVI) of atrial fibrillation (AF). Forty-nine consecutive patients undergoing second ablation procedures for recurrent AF after CF-guided ablation were retrospectively studied. The CPVI was performed by point-by-point ablation with a target CF of 15-20 g. The incidence of CPVRs was evaluated along the right- and left-sided anterior and posterior CPVI regions (Ant-RPVs, Post-RPVs, Ant-LPVs, and Post-LPVs). CPVRs were observed in 30.6, 22.4, 20.4, and 32.7 % of patients along the Ant-RPVs, Post-RPVs, Ant-LPVs, and Post-LPVs, respectively (P = 0.436). In the multivariate logistic analyses, completing a left atrium-PV conduction block with touch-up ablation inside the initially estimated CPVI lines (Ant-RPVs, Post-RPVs, Ant-LPVs, Post-LPVs; odds ratio [OR] 5.747, 15.000, 207.619, 7.940; P = 0.032, 0.004, 0.034, 0.021) and region length (Post-LPVs; OR 3.183, P = 0.027) were positive predictors of CPVRs, while the mean CF (Ant-RPVs; OR 0.861, P = 0.045) and number of radiofrequency applications per unit length (Ant-LPVs, Post-LPVs; OR 0.038, 0.122; P = 0.034, 0.029) were negative predictors. At optimal cutoffs of 5.8 cm for the region length, 14.2 g for the mean CF, and 1.97/cm (Ant-LPVs) and 2.01/cm (Post-LPVs) for the radiofrequency application density, the sensitivity and specificity were 93.8 and 63.6 %, 60.0 and 76.5 %, 90.0 and 64.1 %, and 75.0 and 63.6 %, respectively. Completing PVI with circumferential lines without touch-up ablation and creating a sufficient density of radiofrequency ablation lesions on the lines with a sufficient CF may be necessary to prevent CPVRs after a CF-guided CPVI.
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Dragon polya spotter: Predictor of poly(A) motifs within human genomic DNA sequences
Kalkatawi, Manal M.
2011-11-15
Motivation: Recognition of poly(A) signals in mRNA is relatively straightforward due to the presence of easily recognizable polyadenylic acid tail. However, the task of identifying poly(A) motifs in the primary genomic DNA sequence that correspond to poly(A) signals in mRNA is a far more challenging problem. Recognition of poly(A) signals is important for better gene annotation and understanding of the gene regulation mechanisms. In this work, we present one such poly(A) motif prediction method based on properties of human genomic DNA sequence surrounding a poly(A) motif. These properties include thermodynamic, physico-chemical and statistical characteristics. For predictions, we developed Artificial Neural Network and Random Forest models. These models are trained to recognize 12 most common poly(A) motifs in human DNA. Our predictors are available as a free web-based tool accessible at http://cbrc.kaust.edu.sa/dps. Compared with other reported predictors, our models achieve higher sensitivity and specificity and furthermore provide a consistent level of accuracy for 12 poly(A) motif variants. The Author(s) 2011. Published by Oxford University Press. All rights reserved.
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Predictors of under-five childhood diarrhea: Mecha District, West ...
African Journals Online (AJOL)
admin
Bivariate and multivariate logistic regression analyses were undertaken to identify predictors of childhood diarrhea. Results: The prevalence of diarrhea among mothers and under-five children was 8.2% and 18.0%, respectively. Maternal education (AOR=5.6, 95% CI: 1.5 - 19.4), maternal history of recent diarrhea (AOR, 5.5 ...
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Predictors of non-participation in cervical screening in Denmark.
Kristensson, Jenny Hansen; Sander, Bente Braad; von Euler-Chelpin, My; Lynge, Elsebeth
2014-04-01
The aims of this study were to identify demographic and socio-economic predictors of non-participation in cervical screening in Denmark, and to evaluate the influence of health care use on screening participation. A population based register study was undertaken using data from the Central Population Register, the national Patobank, and Statistics Denmark. The study included women aged 25-54 years on 1st of January 2002, living in Denmark during the next 5 years, and without a history of total hysterectomy, N=1,052,447. Independent variables included age, civil status, nationality, level of education, and use of health care. Associations with non-participation in screening were determined with logistic regression. Main predictors of non-participation were limited or no contact with dental services (odds ratio (OR)=2.36), general practitioners (OR=1.75), and high age (OR=1.98). Other important factors for non-participation were primary school education only (OR=1.53), not being married (OR=1.49), and foreign nationality (OR=1.32). A 2-1.5-fold difference in non-participation in cervical screening in Denmark was found across various population sub-groups. Increased screening compliance among women with primary school education only, and limited or no use of primary health care services in general could potentially diminish the current social inequalities in cervical cancer incidence, and thus decrease the overall high incidence of this disease in Denmark. Copyright © 2014 Elsevier Ltd. All rights reserved.
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Schizophrenia - A predictor of suicide during the second half of life?
DEFF Research Database (Denmark)
Erlangsen, Annette; Eaton, William W; Mortensen, Preben Bo
2012-01-01
attempt, comorbidity of mood disorders, personality disorders, and substance abuse (for women). CONCLUSIONS: We found an elevated mortality risk of suicide for both men and women aged 50years and over diagnosed with schizophrenia. Health care staff should be aware of elevated risk, particularly in older......BACKGROUND: Little is known about the suicide risk of older adults diagnosed with schizophrenia. The purpose of the study is to examine whether older adults diagnosed with schizophrenia have an elevated risk of dying by suicide, examine trends by age, and identify predictors of death by suicide....... METHODS: Individual-level register data on all older adults aged 50+ living in Denmark during 1990-2006 (N=2,899,411) were assessed using survival analysis. The impact of predictors was adjusted for a series of socio-demographic and health-related covariates. RESULTS: In all, 248 suicides were identified...
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Forlenza,Orestes V.; Diniz,Breno S.; Talib,Leda L.; Radanovic,Marcia; Yassuda,Monica S.; Ojopi,Elida B.; Gattaz,Wagner F.
2010-01-01
OBJECTIVE: To identify predictors of the progression from pre-dementia stages of cognitive impairment in Alzheimer's disease is relevant to clinical management and to substantiate the decision of prescribing antidementia drugs. METHOD: Longitudinal study of a cohort of elderly adults with amnestic mild cognitive impairment and healthy controls, carried out to estimate the risk and characterize predictors of the progression to Alzheimer's disease. RESULTS: Patients with amnestic mild cognitive...
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Copeptin, procalcitonin and routine inflammatory markers-predictors of infection after stroke.
Directory of Open Access Journals (Sweden)
Felix Fluri
Full Text Available Early predictors for the development of stroke-associated infection may identify patients at high risk and reduce post-stroke infection and mortality.In 383 prospectively enrolled acute stroke patients we assessed time point and type of post-stroke infections (i.e. pneumonia, urinary tract infection (UTI other infection (OI. Blood samples were collected on admission, and days 1, and 3 to assess white blood cells (WBC, monocytes, C-reactive protein (CRP, procalcitonin (PCT, and copeptin. To determine the magnitude of association with the development of infections, odds ratios (OR were calculated for each prognostic blood marker. The discriminatory ability of different predictors was assessed, by calculating area under the receiver operating characteristic curves (AUC. Prognostic models including the three parameters with the best performance were identified.Of 383 patients, 66 (17.2% developed an infection after onset of stroke. WBC, CRP, copeptin and PCT were all independent predictors of any infection, pneumonia and UTI developed at least 24 hours after measurements. The combination of the biomarkers WBC, CRP and copeptin (AUC: 0.92 and WBC, CRP and PCT (AUC: 0.90 showed a better predictive accuracy concerning the development of pneumonia during hospitalization compared to each marker by itself (p-Wald <0.0001.Among ischemic stroke patients, copeptin, PCT, WBC and CRP measured on admission were predictors of infection in general, and specifically for pneumonia and UTI within 5 days after stroke. The combination of these biomarkers improved the prediction of patients who developed an infection.
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Characteristic Equation of the Modified Smith predictor to MIMO Systems
Directory of Open Access Journals (Sweden)
Jorge A. Herrera-Cuartas
2013-11-01
Full Text Available The delay in control systems is a feature frequently in real systems due to the transport of objects or information, a series connection of multiple systems or own processing and sensors delay, among others. Recently there have been several studies to identify the external delay MIMO systems, these works are focused on identification and on-line control of MIMO systems and use a multimodel structure based on modified Smith predictor using different search method. It is clear that for the implementation of the algorithm, and to obtain the convergence and stability analysis, it is necessary to have closed-loop equations of modified Smith predictor. However, in these works is not presented the analytical procedure, not be the main object, displaying only the closed loop equations without the procedure for obtaining it. Therefore, to respond, in this paper, we present an analytical way to derive the closed-loop equations of a modified Smith predictor.
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DEFF Research Database (Denmark)
Slåttelid Schreiber, Selma Marie; Juul, Kirsten Egebjerg; Dehlendorff, Christian
2015-01-01
to identify socioeconomic predictors of initiation and completion of HPV vaccination. METHODS: Girls born in 1996-1997 and their guardians were identified through the Danish Civil Registration System. Information on socioeconomic variables and HPV vaccination status was obtained by linkage to Statistics...
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Musliner, K L; Østergaard, S D
2018-05-01
Conversion from unipolar depression (UD) to bipolar disorder (BD) is a clinically important event that should lead to treatment modifications. Unfortunately, recognition of this transition is often delayed. Therefore, the objective of this study was to identify predictors of diagnostic conversion from UD to BD. Historical prospective cohort study based on 91 587 individuals diagnosed with UD in Danish hospital psychiatry between 1995 and 2016. The association between a series of potential predictors and the conversion from UD to BD during follow-up (702 710 person-years) was estimated by means of Cox regression with death as competing risk. During follow-up, 3910 individuals with UD developed BD. The cumulative incidence of conversion was slightly higher in females (8.7%, 95% CI: 8.2-9.3) compared to males (7.7%, 95% CI: 7.0-8.4). The strongest predictor of conversion from UD to BD was parental history of BD (adjusted hazard ratio (aHR) = 2.60, 95% CI: 2.20-3.07)). Other predictors included psychotic depression at the index UD episode (aHR = 1.73, 95% CI: 1.48-2.02), a prior/concomitant non-affective psychosis (aHR = 1.73, 95% CI: 1.51-1.99), and in-patient treatment at the index episode (aHR = 1.76, 95% CI: 1.63-1.91). Diagnostic conversion from UD to BD is predicted by severe depression requiring in-patient treatment, psychotic symptomatology, and parental history of BD. © 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
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Adolescent Gambling: A Narrative Review of Behavior and Its Predictors
Ariyabuddhiphongs, Vanchai
2013-01-01
This narrative review summarizes current knowledge on adolescent gambling for the period 1990-2010, assesses adolescent gambling behavior and person and environment predictors, and suggests directions for future research. The review includes 99 studies that identified their subjects as adolescents, children, youth, and students, and discusses…
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Pauli, Carla; Schwarzbold, Marcelo Liborio; Diaz, Alexandre Paim; de Oliveira Thais, Maria Emilia Rodrigues; Kondageski, Charles; Linhares, Marcelo Neves; Guarnieri, Ricardo; de Lemos Zingano, Bianca; Ben, Juliana; Nunes, Jean Costa; Markowitsch, Hans Joachim; Wolf, Peter; Wiebe, Samuel; Lin, Katia; Walz, Roger
2017-05-01
To investigate prospectively the independent predictors of a minimum clinically important change (MCIC) in quality of life (QOL) after anterior temporal lobectomy (ATL) for drug-resistant mesial temporal lobe epilepsy related to hippocampal sclerosis (MTLE-HS) in Brazilian patients. Multiple binary logistic regression analysis was performed to identify the clinical, demographic, radiologic, and electrophysiologic variables independently associated with MCIC in the Quality of Life in Epilepsy-31 Inventory (QOLIE-31) overall score 1 year after ATL in 77 consecutive patients with unilateral MTLE-HS. The overall QOLIE-31 score and all its subscale scores increased significantly (p Epilepsy.
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Predictors of recurrence in pheochromocytoma.
Press, Danielle; Akyuz, Muhammet; Dural, Cem; Aliyev, Shamil; Monteiro, Rosebel; Mino, Jeff; Mitchell, Jamie; Hamrahian, Amir; Siperstein, Allan; Berber, Eren
2014-12-01
The recurrence rate of pheochromocytoma after adrenalectomy is 6.5-16.5%. This study aims to identify predictors of recurrence and optimal biochemical testing and imaging for detecting the recurrence of pheochromocytoma. In this retrospective study we reviewed all patients who underwent adrenalectomy for pheochromocytoma during a 14-year period at a single institution. One hundred thirty-five patients had adrenalectomy for pheochromocytoma. Eight patients (6%) developed recurrent disease. The median time from initial operation to diagnosis of recurrence was 35 months. On multivariate analysis, tumor size >5 cm was an independent predictor of recurrence. One patient with recurrence died, 4 had stable disease, 2 had progression of disease, and 1 was cured. Recurrence was diagnosed by increases in plasma and/or urinary metanephrines and positive imaging in 6 patients (75%), and by positive imaging and normal biochemical levels in 2 patients (25%). Patients with large tumors (>5 cm) should be followed vigilantly for recurrence. Because 25% of patients with recurrence had normal biochemical levels, we recommend routine imaging and testing of plasma or urinary metanephrines for prompt diagnosis of recurrence. Copyright © 2014 Elsevier Inc. All rights reserved.
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Gavrilov, Leonid A; Gavrilova, Natalia S
Knowledge of strong predictors of mortality and longevity is very important for actuarial science and practice. Earlier studies found that parental characteristics as well as early-life conditions and midlife environment play a significant role in survival to advanced ages. However, little is known about the simultaneous effects of these three factors on longevity. This ongoing study attempts to fill this gap by comparing centenarians born in the United States in 1890-91 with peers born in the same years who died at age 65. The records for centenarians and controls were taken from computerized family histories, which were then linked to 1900 and 1930 U.S. censuses. As a result of this linkage procedure, 765 records of confirmed centenarians and 783 records of controls were obtained. Analysis with multivariate logistic regression found that parental longevity and some midlife characteristics proved to be significant predictors of longevity while the role of childhood conditions was less important. More centenarians were born in the second half of the year compared to controls, suggesting early origins of longevity. We found the existence of both general and gender-specific predictors of human longevity. General predictors common for men and women are paternal and maternal longevity. Gender-specific predictors of male longevity are the farmer occupation at age 40, Northeastern region of birth in the United States and birth in the second half of year. A gender-specific predictor of female longevity is surprisingly the availability of radio in the household according to the 1930 U.S. census. Given the importance of familial longevity as an independent predictor of survival to advanced ages, we conducted a comparative study of biological and nonbiological relatives of centenarians using a larger sample of 1,945 validated U.S. centenarians born in 1880-95. We found that male gender of centenarian has significant positive effect on survival of adult male relatives
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Predictors of Radiation Therapy Noncompliance in an Urban Academic Cancer Center
International Nuclear Information System (INIS)
Ohri, Nitin; Rapkin, Bruce D.; Guha, Debayan; Haynes-Lewis, Hilda; Guha, Chandan; Kalnicki, Shalom; Garg, Madhur
2015-01-01
Purpose: To quantify the frequency of patient noncompliance in an urban radiation oncology department and identify predictors of noncompliance. Methods and Materials: We identified patients treated with external beam radiation therapy (RT) with curative intent in our department from 2007 to 2012 for 1 of 7 commonly treated malignancies. Patients who missed 2 or more scheduled RT appointments were deemed “noncompliant.” An institutional database was referenced to obtain clinical and demographic information for each patient, as well as a quantitative estimate of each patient's socioeconomic status. Logistic regression was used to identify factors associated with RT noncompliance. Results: A total of 2184 patients met eligibility criteria. Of these, 442 (20.2%) were deemed “noncompliant.” On multivariate analysis, statistically significant predictors of noncompliance included diagnosis of head-and-neck, cervical, or uterine cancer, treatment during winter months, low socioeconomic status, and use of a long treatment course (all P<.05). Conclusion: This is the first large effort examining patient noncompliance with daily RT. We have identified demographic, clinical, and treatment-related factors that can be used to identify patients at high risk for noncompliance. These findings may inform future strategies to improve adherence to prescribed therapy
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Predictors of Radiation Therapy Noncompliance in an Urban Academic Cancer Center
Energy Technology Data Exchange (ETDEWEB)
Ohri, Nitin [Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York (United States); Rapkin, Bruce D. [Department of Epidemiology and Population Health, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York (United States); Guha, Debayan; Haynes-Lewis, Hilda; Guha, Chandan; Kalnicki, Shalom [Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York (United States); Garg, Madhur, E-mail: mgarg@montefiore.org [Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York (United States)
2015-01-01
Purpose: To quantify the frequency of patient noncompliance in an urban radiation oncology department and identify predictors of noncompliance. Methods and Materials: We identified patients treated with external beam radiation therapy (RT) with curative intent in our department from 2007 to 2012 for 1 of 7 commonly treated malignancies. Patients who missed 2 or more scheduled RT appointments were deemed “noncompliant.” An institutional database was referenced to obtain clinical and demographic information for each patient, as well as a quantitative estimate of each patient's socioeconomic status. Logistic regression was used to identify factors associated with RT noncompliance. Results: A total of 2184 patients met eligibility criteria. Of these, 442 (20.2%) were deemed “noncompliant.” On multivariate analysis, statistically significant predictors of noncompliance included diagnosis of head-and-neck, cervical, or uterine cancer, treatment during winter months, low socioeconomic status, and use of a long treatment course (all P<.05). Conclusion: This is the first large effort examining patient noncompliance with daily RT. We have identified demographic, clinical, and treatment-related factors that can be used to identify patients at high risk for noncompliance. These findings may inform future strategies to improve adherence to prescribed therapy.
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Clinical predictors of facial nerve outcome after translabyrinthine resection of acoustic neuromas.
Shamji, Mohammed F; Schramm, David R; Benoit, Brien G
2007-01-01
The translabyrinthine approach to acoustic neuroma resection offers excellent exposure for facial nerve dissection with 95% preservation of anatomic continuity. Acceptable outcome in facial asymptomatic patients is reported at 64-90%, but transient postoperative deterioration often occurs. The objective of this study was to identify preoperative clinical presentation and intraoperative surgical findings that predispose patients to facial nerve dysfunction after acoustic neuroma surgery. The charts of 128 consecutive translabyrinthine patients were examined retrospectively to identify new clinical and intraoperative predictors of facial nerve outcome. Postoperative evaluation of patients to normal function or mild asymmetry upon close inspection (House-Brackmann grades of I or II) was defined as an acceptable outcome, with obvious asymmetry to no movement (grades III to VI) defined as unacceptable. Intraoperative nerve stimulation was performed in all cases, and clinical grading was performed by a single neurosurgeon in all cases. Among patients with no preoperative facial nerve deficit, 87% had an acceptable result. Small size (P mA (P< 0.01) were reaffirmed as predictive of functional nerve preservation. Additionally, preoperative tinnitus (P = 0.03), short duration of hearing loss (P< 0. 01), and lack of subjective tumour adherence to the facial nerve (P = 0.02) were independently correlated with positive outcome. Our experience with the translabyrinthine approach reveals the previously unestablished associations of facial nerve outcome to include presence of tinnitus and duration of hypoacusis. Independent predictors of tumour size and nerve stimulation thresholds were reaffirmed, and the subjective description of tumour adherence to the facial nerve making dissection more difficult appears to be important.
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Aksnes, Tonje A; Kjeldsen, Sverre E; Rostrup, Morten; Holzhauer, Björn; Hua, Tsushung A; Julius, Stevo
2016-08-01
Diabetic and new-onset diabetic patients with hypertension have higher cardiac morbidity than patients without diabetes. We aimed to investigate whether baseline predictors of cardiac morbidity, the major constituent of the primary endpoint in the Valsartan Antihypertensive Long-term Use Evaluation (VALUE) trial, were different in patients with diabetes and new-onset diabetes compared to patients without diabetes. In total, 15,245 high-risk hypertensive patients in the VALUE trial were followed for an average of 4.2 years. At baseline, 5250 patients were diabetic by the 1999 World Health Organization criteria, 1298 patients developed new-onset diabetes and 8697 patients stayed non-diabetic during follow-up. Cardiac morbidity was defined as a composite of myocardial infarction and heart failure requiring hospitalization, and baseline predictors were identified by univariate and multivariate stepwise Cox regression analyses. History of coronary heart disease (CHD) and age were the most important predictors of cardiac morbidity in both diabetic and non-diabetic patients. History of CHD, history of stroke and age were the only significant predictors of cardiac morbidity in patients with new-onset diabetes. Predictors of cardiac morbidity, in particular history of CHD and age, were essentially the same in high-risk hypertensive patients with diabetes, new-onset diabetes and without diabetes who participated in the VALUE trial.
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Predictors for major cardiovascular outcomes in stable ischaemic heart disease (PREMAC)
DEFF Research Database (Denmark)
Winkel, Per; Jakobsen, Janus Christian; Hilden, Jørgen
2017-01-01
The purpose of the predictors for major cardiovascular outcomes in stable ischaemic Heart disease (PREMAC) study is exploratory and hypothesis generating. We want to identify biochemical quantities which—conditionally on the values of available standard demographic, anamnestic, and biochemical data...
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Predictors of subjective health status 10 years post-PCI
van den Berge, Jan C.; Dulfer, Karolijn; Utens, Elisabeth M. W. J.; Hartman, Eline M. J.; Daemen, Joost; van Geuns, Robert J.; van Domburg, Ron T.
2016-01-01
Subjective health status is an increasingly important parameter to assess the effect of percutaneous coronary intervention (PCI) in clinical practice. Aim of this study was to determine medical and psychosocial predictors of poor subjective health status over a 10 years' post-PCI period. We included
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DEFF Research Database (Denmark)
Elias, D; (Hansen) Vever, Henriette; Lænkholm, A-V
2015-01-01
To elucidate the molecular mechanisms of tamoxifen resistance in breast cancer, we performed gene array analyses and identified 366 genes with altered expression in four unique tamoxifen-resistant (TamR) cell lines vs the parental tamoxifen-sensitive MCF-7/S0.5 cell line. Most of these genes were...
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Selemetas, Nikolaos; de Waal, Theo
2015-04-30
Fasciolosis caused by Fasciola hepatica (liver fluke) can cause significant economic and production losses in dairy cow farms. The aim of the current study was to identify important weather and environmental predictors of the exposure risk to liver fluke by detecting clusters of fasciolosis in Ireland. During autumn 2012, bulk-tank milk samples from 4365 dairy farms were collected throughout Ireland. Using an in-house antibody-detection ELISA, the analysis of BTM samples showed that 83% (n=3602) of dairy farms had been exposed to liver fluke. The Getis-Ord Gi* statistic identified 74 high-risk and 130 low-risk significant (Pclimatic variables (monthly and seasonal mean rainfall and temperatures, total wet days and rain days) and environmental datasets (soil types, enhanced vegetation index and normalised difference vegetation index) were used to investigate dissimilarities in the exposure to liver fluke between clusters. Rainfall, total wet days and rain days, and soil type were the significant classes of climatic and environmental variables explaining the differences between significant clusters. A discriminant function analysis was used to predict the exposure risk to liver fluke using 80% of data for modelling and the remaining subset of 20% for post hoc model validation. The most significant predictors of the model risk function were total rainfall in August and September and total wet days. The risk model presented 100% sensitivity and 91% specificity and an accuracy of 95% correctly classified cases. A risk map of exposure to liver fluke was constructed with higher probability of exposure in western and north-western regions. The results of this study identified differences between clusters of fasciolosis in Ireland regarding climatic and environmental variables and detected significant predictors of the exposure risk to liver fluke. Copyright © 2015 Elsevier B.V. All rights reserved.
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Beatty, Lisa; Binnion, Claire
2016-12-01
A key issue regarding the provision of psychological therapy in a self-guided online format is low rates of adherence. The aim of this systematic review was to assess both quantitative and qualitative data on the predictors of adherence, as well as participant reported reasons for adhering or not adhering to online psychological interventions. Database searches of PsycINFO, Medline, and CINAHL identified 1721 potentially relevant articles published between 1 January 2000 and 25 November 2015. A further 34 potentially relevant articles were retrieved from reference lists. Articles that reported predictors of, or reasons for, adherence to an online psychological intervention were included. A total of 36 studies met the inclusion criteria. Predictors assessed included demographic, psychological, characteristics of presenting problem, and intervention/computer-related predictors. Evidence suggested that female gender, higher treatment expectancy, sufficient time, and personalized intervention content each predicted higher adherence. Age, baseline symptom severity, and control group allocation had mixed findings. The majority of assessed variables however, did not predict adherence. Few clear predictors of adherence emerged overall, and most results were either mixed or too preliminary to draw conclusions. More research of predictors associated with adherence to online interventions is warranted.
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Recent predictors of Indian summer monsoon based on Indian and Pacific Ocean SST
Shahi, Namendra Kumar; Rai, Shailendra; Mishra, Nishant
2018-02-01
This study investigates the relationship between sea surface temperature (SST) of various geographical locations of Indian and Pacific Ocean with the Indian summer monsoon rainfall (ISMR) to identify possible predictors of ISMR. We identified eight SST predictors based on spatial patterns of correlation coefficients between ISMR and SST of the regions mentioned above during the time domain 1982-2013. The five multiple linear regression (MLR) models have been developed by these predictors in various combinations. The stability and performance of these MLR models are verified using cross-validation method and other statistical methods. The skill of forecast to predict observed ISMR from these MLR models is found to be substantially better based on various statistical verification measures. It is observed that the MLR models constructed using the combination of SST indices in tropical and extra tropical Indian and Pacific is able to predict ISMR accurately for almost all the years during the time domain of our study. We tried to propose the physical mechanism of the teleconnection through regression analysis with wind over Indian subcontinent and the eight predictors and the results are in the conformity with correlation coefficient analysis. The robustness of these models is seen by predicting the ISMR during recent independent years of 2014-2017 and found the model 5 is able to predict ISMR accurately in these years also.
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Predictors of institutionalization in patients with dementia in Korea.
Kim, Jae-Min; Shin, Il-Seon; Jeong, Seong-Joo; Gormley, Niall; Yoon, Jin-Sang
2002-02-01
Many studies have sought to determine the predictors of institutionalization of patients with dementia. Such studies, performed in developed western societies, have come to various conclusions which may not be supported in an East Asian culture such as that found in Korea. This study aimed to determine the factors that predict institutionalization of patients in Korea diagnosed with dementia. Seventy-nine cases (37 institutionalized, 42 community-dwelling) in the Kwangju area were evaluated for patient characteristics, severity of dementia symptoms, caregiver characteristics, burden and distress. Logistic regression was performed to determine predictors of actual institutionalization. Six predictors of institutionalization were identified. Of these, three were patient-related factors: higher score on the Clinical Dementia Rating, higher score on the Brief Psychiatric Rating Scale, and shorter duration of dementia. The other three were caregiver-related factors: younger age, higher education (formal schooling), and higher cost of home care. As seen in previous western studies, institutionalization of dementia sufferers was influenced by both patient and caregiver factors. But, the specific predictors and their relative influences might be explained best by the particular social, cultural and economic situation in Korea. This study was the first of its kind in Korea and, as such, could serve as a reference for future intra-cultural and cross-cultural comparisons. Copyright 2002 John Wiley & Sons, Ltd.
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Directory of Open Access Journals (Sweden)
Seong Hwan Park
2013-01-01
Full Text Available Identifying species of insects used to estimate postmortem interval (PMI is a major subject in forensic entomology. Because forensic insect specimens are morphologically uniform and are obtained at various developmental stages, DNA markers are greatly needed. To develop new autosomal DNA markers to identify species, partial genomic sequences of the bicoid (bcd genes, containing the homeobox and its flanking sequences, from 12 blowfly species (Aldrichina grahami, Calliphora vicina, Calliphora lata, Triceratopyga calliphoroides, Chrysomya megacephala, Chrysomya pinguis, Phormia regina, Lucilia ampullacea, Lucilia caesar, Lucilia illustris, Hemipyrellia ligurriens and Lucilia sericata; Calliphoridae: Diptera were determined and analyzed. This study first sequenced the ten blowfly species other than C. vicina and L. sericata. Based on the bcd sequences of these 12 blowfly species, a phylogenetic tree was constructed that discriminates the subfamilies of Calliphoridae (Luciliinae, Chrysomyinae, and Calliphorinae and most blowfly species. Even partial genomic sequences of about 500 bp can distinguish most blowfly species. The short intron 2 and coding sequences downstream of the bcd homeobox in exon 3 could be utilized to develop DNA markers for forensic applications. These gene sequences are important in the evolution of insect developmental biology and are potentially useful for identifying insect species in forensic science.
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Park, Seong Hwan; Park, Chung Hyun; Zhang, Yong; Piao, Huguo; Chung, Ukhee; Kim, Seong Yoon; Ko, Kwang Soo; Yi, Cheong-Ho; Jo, Tae-Ho; Hwang, Juck-Joon
2013-01-01
Identifying species of insects used to estimate postmortem interval (PMI) is a major subject in forensic entomology. Because forensic insect specimens are morphologically uniform and are obtained at various developmental stages, DNA markers are greatly needed. To develop new autosomal DNA markers to identify species, partial genomic sequences of the bicoid (bcd) genes, containing the homeobox and its flanking sequences, from 12 blowfly species (Aldrichina grahami, Calliphora vicina, Calliphora lata, Triceratopyga calliphoroides, Chrysomya megacephala, Chrysomya pinguis, Phormia regina, Lucilia ampullacea, Lucilia caesar, Lucilia illustris, Hemipyrellia ligurriens and Lucilia sericata; Calliphoridae: Diptera) were determined and analyzed. This study first sequenced the ten blowfly species other than C. vicina and L. sericata. Based on the bcd sequences of these 12 blowfly species, a phylogenetic tree was constructed that discriminates the subfamilies of Calliphoridae (Luciliinae, Chrysomyinae, and Calliphorinae) and most blowfly species. Even partial genomic sequences of about 500 bp can distinguish most blowfly species. The short intron 2 and coding sequences downstream of the bcd homeobox in exon 3 could be utilized to develop DNA markers for forensic applications. These gene sequences are important in the evolution of insect developmental biology and are potentially useful for identifying insect species in forensic science. PMID:23586044
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Predictors of communication preferences in patients with chronic low back pain
Directory of Open Access Journals (Sweden)
Farin E
2013-10-01
Full Text Available Erik Farin, Lukas Gramm, Erika SchmidtUniversity Freiburg, Medical Center, Department of Quality Management and Social Medicine, Freiburg, GermanyBackground: The objective of this exploratory study was to identify patient-related predictors of communication preferences in patients with chronic low back pain for various dimensions of patient-physician communication (patient participation and orientation, effective and open communication, emotionally supportive communication, communication about personal circumstances.Methods: Eleven rehabilitation centers from various parts of Germany participated in collection of data between 2009 and 2011. A total of 701 patients with chronic low back pain were surveyed at the start of rehabilitation. The patient questionnaire captured communication preferences, pain impact, pain intensity, and psychologic variables (fear avoidance beliefs, illness coherence, control beliefs, communication self-efficacy, and personality characteristics. The rehabilitation physicians filled out a documentation sheet containing information on diagnosis, inability to work, duration of the illness, and comorbidity at the beginning and end of rehabilitation. Hierarchical regression analyses were performed.Results: On average, effective, open, and patient-centered communication was very important for patients with back pain, emotionally supportive communication was important, and communication about personal circumstances was somewhat important. The variance in communication preferences explained by the predictors studied here was 8%–19%. Older patients showed a lower preference for patient-centered and open communication, but a higher preference for communication about personal circumstances. Patients with psychologic risk factors (eg, fear avoidance beliefs, extroverted patients, and patients with high self-efficacy in patient-physician interaction generally had higher expectations of the physician's communicative behavior
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Bias in random forest variable importance measures: Illustrations, sources and a solution
Directory of Open Access Journals (Sweden)
Hothorn Torsten
2007-01-01
Full Text Available Abstract Background Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and related scientific fields, for instance to select a subset of genetic markers relevant for the prediction of a certain disease. We show that random forest variable importance measures are a sensible means for variable selection in many applications, but are not reliable in situations where potential predictor variables vary in their scale of measurement or their number of categories. This is particularly important in genomics and computational biology, where predictors often include variables of different types, for example when predictors include both sequence data and continuous variables such as folding energy, or when amino acid sequence data show different numbers of categories. Results Simulation studies are presented illustrating that, when random forest variable importance measures are used with data of varying types, the results are misleading because suboptimal predictor variables may be artificially preferred in variable selection. The two mechanisms underlying this deficiency are biased variable selection in the individual classification trees used to build the random forest on one hand, and effects induced by bootstrap sampling with replacement on the other hand. Conclusion We propose to employ an alternative implementation of random forests, that provides unbiased variable selection in the individual classification trees. When this method is applied using subsampling without replacement, the resulting variable importance measures can be used reliably for variable selection even in situations where the potential predictor variables vary in their scale of measurement or their number of categories. The usage of both random forest algorithms and their variable importance measures in the R system for statistical computing is illustrated and
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Predictors of smoking initiation among schoolchildren in Tunisia: a 4 ...
African Journals Online (AJOL)
Objective: To identify predictors of smoking initiation among non smoking Tunisian school children; and to propose efficient antismoking strategies in order to prevent smoking initiation. Methods: It was a cohort study surveying prospectively for four years pupils attending schools in Sousse city in Tunisia. 441 non smoking ...
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Predictors of Adolescent Breakfast Consumption: Longitudinal Findings from Project EAT
Bruening, Meg; Larson, Nicole; Story, Mary; Neumark-Sztainer, Dianne; Hannan, Peter
2011-01-01
Objective: To identify predictors of breakfast consumption among adolescents. Methods: Five-year longitudinal study Project EAT (Eating Among Teens). Baseline surveys were completed in Minneapolis-St. Paul schools and by mail at follow-up by youth (n = 800) transitioning from middle to high school. Linear regression models examined associations…
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Acute single channel EEG predictors of cognitive function after stroke.
Directory of Open Access Journals (Sweden)
Anna Aminov
Full Text Available Early and accurate identification of factors that predict post-stroke cognitive outcome is important to set realistic targets for rehabilitation and to guide patients and their families accordingly. However, behavioral measures of cognition are difficult to obtain in the acute phase of recovery due to clinical factors (e.g. fatigue and functional barriers (e.g. language deficits. The aim of the current study was to test whether single channel wireless EEG data obtained acutely following stroke could predict longer-term cognitive function.Resting state Relative Power (RP of delta, theta, alpha, beta, delta/alpha ratio (DAR, and delta/theta ratio (DTR were obtained from a single electrode over FP1 in 24 participants within 72 hours of a first-ever stroke. The Montreal Cognitive Assessment (MoCA was administered at 90-days post-stroke. Correlation and regression analyses were completed to identify relationships between 90-day cognitive function and electrophysiological data, neurological status, and demographic characteristics at admission.Four acute qEEG indices demonstrated moderate to high correlations with 90-day MoCA scores: DTR (r = -0.57, p = 0.01, RP theta (r = 0.50, p = 0.01, RP delta (r = -0.47, p = 0.02, and DAR (r = -0.45, p = 0.03. Acute DTR (b = -0.36, p < 0.05 and stroke severity on admission (b = -0.63, p < 0.01 were the best linear combination of predictors of MoCA scores 90-days post-stroke, accounting for 75% of variance.Data generated by a single pre-frontal electrode support the prognostic value of acute DAR, and identify DTR as a potential marker of post-stroke cognitive outcome. Use of single channel recording in an acute clinical setting may provide an efficient and valid predictor of cognitive function after stroke.
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DEFF Research Database (Denmark)
Xu, Xun; Liu, Xin; Ge, Song
2012-01-01
Rice is a staple crop that has undergone substantial phenotypic and physiological changes during domestication. Here we resequenced the genomes of 40 cultivated accessions selected from the major groups of rice and 10 accessions of their wild progenitors (Oryza rufipogon and Oryza nivara) to >15 x...... diversity in cultivated but not wild rice, which represent candidate regions selected during domestication. Some of these variants are associated with important biological features, whereas others have yet to be functionally characterized. The molecular markers we have identified should be valuable...... raw data coverage. We investigated genome-wide variation patterns in rice and obtained 6.5 million high-quality single nucleotide polymorphisms (SNPs) after excluding sites with missing data in any accession. Using these population SNP data, we identified thousands of genes with significantly lower...
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Who is afraid of immigrants? Social predictors of fear of immigrants in Europe
Directory of Open Access Journals (Sweden)
Sebastian Năstuţă
2011-12-01
Full Text Available Starting from the assumption that „fear” or „the threat feeling” felt on immigrants as a group is a strong predictor of negative reaction and actions against these out-groups we are trying to identify in this paper the social predictors of these feelings. If most studies on anti-immigrant attitudes are oriented mainly to economic effects, city or municipality effects we included in our analysis not only the clasical variable like education, income, age, gender, professional status, citizenship as in previous studies, but also the religious affiliation and immigration descendence. Starting from EVS 2008 data we obtained results that confirms other studies and also we identified the positive strong effect of religious denomination on immigration threat feelings.
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Life satisfaction in patients with chronic musculoskeletal pain and its predictors
Boonstra, Anne M.; Reneman, Michiel F.; Stewart, Roy E.; Post, Marcel W.; Preuper, Henrica R. Schiphorst
Purpose To determine the life satisfaction of patients with chronic non-malignant musculoskeletal pain (CMP) compared to the general population (GP) and to identify predictors of life satisfaction. Methods Subjects were patients with CMP (n = 1,082) admitted to multidisciplinary rehabilitation and a
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H/L transition time estimation in JET using conformal predictors
Energy Technology Data Exchange (ETDEWEB)
Gonzalez, S., E-mail: sergio.gonzalez@ciemat.es [Asociacion EURATOM/CIEMAT para Fusion, Madrid 28040 (Spain); Vega, J. [Asociacion EURATOM/CIEMAT para Fusion, Madrid 28040 (Spain); Murari, A. [Consorzio RFX, Associazione EURATOM/ENEA per la Fusione, Padova 4-25127 (Italy); Pereira, A. [Asociacion EURATOM/CIEMAT para Fusion, Madrid 28040 (Spain); Dormido-Canto, S.; Ramirez, J.M. [Departamento de Informatica y Automatica, UNED, Madrid 28040 (Spain)
2012-12-15
Highlights: Black-Right-Pointing-Pointer H/L transitions have been predicted using H/L and L/H models. Black-Right-Pointing-Pointer Models have been built using conformal predictors to hedge the prediction with confidence and credibility measures. Black-Right-Pointing-Pointer Models have been trained using linear and radial basis function kernels. Black-Right-Pointing-Pointer Conformal measures have proven their usefulness to validate data-driven models. - Abstract: Recent advances in data mining allow the automatic recognition of physical phenomena in the databases of fusion devices without human intervention. This is important to create large databases of physical events (thereby increasing the statistical relevance) in an unattended manner. Important examples are the L/H and H/L transitions. In this contribution, a novel technique is introduced to automatically locate H/L transitions in JET by using conformal predictors. The focus is on H/L transitions because typically there is not a clear signature in the time series of the most widely available signals to recognize the change of confinement. Conformal predictors hedge their prediction by means of two parameters: confidence and credibility. The technique has been based on binary supervised classifiers to separate the samples of the respective confinement modes. Results with several underlying classifiers are presented.
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Facebook Addiction: Onset Predictors.
Biolcati, Roberta; Mancini, Giacomo; Pupi, Virginia; Mugheddu, Valeria
2018-05-23
Worldwide, Facebook is becoming increasingly widespread as a communication platform. Young people especially use this social networking site daily to maintain and establish relationships. Despite the Facebook expansion in the last few years and the widespread acceptance of this social network, research into Facebook Addiction (FA) is still in its infancy. Hence, the potential predictors of Facebook overuse represent an important matter for investigation. This study aimed to deepen the understanding of the relationship between personality traits, social and emotional loneliness, life satisfaction, and Facebook addiction. A total of 755 participants (80.3% female; n = 606) aged between 18 and 40 (mean = 25.17; SD = 4.18) completed the questionnaire packet including the Bergen Facebook Addiction Scale, the Big Five, the short version of Social and Emotional Loneliness Scale for Adults, and the Satisfaction with Life Scale. A regression analysis was used with personality traits, social, family, romantic loneliness, and life satisfaction as independent variables to explain variance in Facebook addiction. The findings showed that Conscientiousness, Extraversion, Neuroticism, and Loneliness (Social, Family, and Romantic) were strong significant predictors of FA. Age, Openness, Agreeableness, and Life Satisfaction, although FA-related variables, were not significant in predicting Facebook overuse. The risk profile of this peculiar behavioral addiction is also discussed.
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Prevalence and predictors of sunburn among beachgoers.
de Troya-Martín, Magdalena; de Gálvez-Aranda, María Victoria; Rivas-Ruiz, Francisco; Blázquez-Sánchez, Nuria; Fernández-Morano, Maria Teresa; Padilla-España, Laura; Herrera-Ceballos, Enrique
2018-03-01
Painful sunburns at any age are one of the main risk factors for skin cancer. To determine the prevalence and predictors of sunburn among beachgoers. A cross-sectional health survey was conducted at the beach during the summer. Adults >18 years with an understanding of Spanish were interviewed using a questionnaire about behaviours, attitudes and knowledge related to sun exposure at the beach. A descriptive analysis was performed, and a log-binomial regression model was used to determine predictors of sunburn. The survey was completed by 1054 beachgoers, with a mean age of 43.8 (SD: 18.7) years, 61.2% women, skin phototypes i (13.6%), ii (22.3%), iii (34.0%) and iv (30.2%). 46.9% of responders reported at least one painful sunburn during the previous summer. Age, sex, education, skin phototype, midday sun exposure, sun protection habits, attitudes towards tanning and knowledge about skin cancer were identified as independent predictors of sunburn. It is necessary to develop photoprotection campaigns aimed at beachgoers, particularly in young people, men, those with skin phototypes I-III and secondary or university education. Educational strategies should be aimed at discouraging sun exposure at midday, changing attitudes towards tanning and improving knowledge about skin cancer. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
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National Trends and Predictors of Locally Advanced Penile Cancer in the United States (1998-2012).
Chipollini, Juan; Chaing, Sharon; Peyton, Charles C; Sharma, Pranav; Kidd, Laura C; Giuliano, Anna R; Johnstone, Peter A; Spiess, Philippe E
2017-08-12
We analyzed the trends in presentation of squamous cell carcinoma (SCC) of the penis and determined the socioeconomic predictors for locally advanced (cT3-cT4) disease in the United States. The National Cancer Database was queried for patients with clinically nonmetastatic penile SCC and staging available from 1998 to 2012. Temporal trends per tumor stage were evaluated, and a multivariable logistic regression model was used to identify predictors for advanced presentation during the study period. A total of 5767 patients with stage ≤ T1-T2 (n = 5423) and T3-T4 (n = 344) disease were identified. Increasing trends were noted in all stages of penile SCC with a greater proportion of advanced cases over time (P = .001). Significant predictors of advanced presentation were age > 55 years, the presence of comorbidities, and Medicaid or no insurance (P guide targeted interventions in vulnerable populations. Copyright © 2017 Elsevier Inc. All rights reserved.
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Justice, Laura M; Jiang, Hui; Logan, Jessica A; Schmitt, Mary Beth
2017-06-10
This study aimed to identify child-level characteristics that predict gains in language skills for children with language impairment who were receiving therapy within the public schools. The therapy provided represented business-as-usual speech/language treatment provided by speech-language pathologists in the public schools. The sample included 272 kindergartners and first-graders with language impairment who participated in a larger study titled "Speech-Therapy Experiences in the Public Schools." Multilevel regression analyses were applied to examine the extent to which select child-level characteristics, including age, nonverbal cognition, memory, phonological awareness, vocabulary, behavior problems, and self-regulation, predicted children's language gains over an academic year. Pratt indices were computed to establish the relative importance of the predictors of interest. Phonological awareness and vocabulary skill related to greater gains in language skills, and together they accounted for nearly 70% of the explained variance, or 10% of total variance at child level. Externalizing behavior, nonverbal cognition, and age were also potentially important predictors of language gains. This study significantly advances our understanding of the characteristics of children that may contribute to their language gains while receiving therapy in the public schools. Researchers can explore how these characteristics may serve to moderate treatment outcomes, whereas clinicians can assess how these characteristics may factor into understanding treatment responses.
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Directory of Open Access Journals (Sweden)
Ryan J Koene
Full Text Available We previously reported that incident atrial fibrillation (AF is associated with an increased risk of sudden cardiac death (SCD in the general population. We now aimed to identify predictors of SCD in persons with AF from the Atherosclerosis Risk in Communities (ARIC study, a community-based cohort study. We included all participants who attended visit 1 (1987-89 and had no prior AF (n = 14,836. Incident AF was identified from study electrocardiograms and hospitalization discharge codes through 2012. SCD was physician-adjudicated. We used cause-specific Cox proportional hazards models, followed by stepwise selection (backwards elimination, removing all variables with p>0.10 to identify predictors of SCD in participants with AF. AF occurred in 2321 (15.6% participants (age 45-64 years, 58% male, 18% black. Over a median of 3.3 years, SCD occurred in 110 of those with AF (4.7%. Predictors of SCD in AF included higher age, body mass index (BMI, coronary heart disease, hypertension, diabetes, current smoker, left ventricular hypertrophy, increased heart rate, and decreased albumin. Predictors associated only with SCD and not other cardiovascular (CV death included increased BMI (HR per 5-unit increase, 1.15, 95% CI, 0.97-1.36, p = 0.10, increased heart rate (HR per SD increase, 1.18, 95% CI 0.99-1.41, p = 0.07, and low albumin (HR per SD decrease 1.23, 95% CI 1.02-1.48, p = 0.03. In the ARIC study, predictors of SCD in AF that are not associated with non-sudden CV death included increased BMI, increased heart rate, and low albumin. Further research to confirm these findings in larger community-based cohorts and to elucidate the underlying mechanisms to facilitate prevention is warranted.
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Gavrilov, Leonid A; Gavrilova, Natalia S
Knowledge of strong predictors of mortality and longevity is very important for actuarial science and practice. Earlier studies found that parental characteristics as well as early-life conditions and midlife environment play a significant role in survival to advanced ages. However, little is known about the simultaneous effects of these three factors on longevity. This ongoing study attempts to fill this gap by comparing centenarians born in the United States in 1890-1891 with peers born in the same years who died at age 65. The records for centenarians and controls were taken from computerized family histories, which were then linked to 1900 and 1930 U.S. censuses. As a result of this linkage procedure, 765 records of confirmed centenarians and 783 records of controls were obtained. Analysis with multivariate logistic regression found the existence of both general and gender-specific predictors of human longevity. General predictors common for men and women are paternal and maternal longevity. Gender-specific predictors of male longevity are occupation as a farmer at age 40, Northeastern region of birth in the United States, and birth in the second half of year. A gender-specific predictor of female longevity is the availability of radio in the household according to the 1930 U.S. census. Given the importance of familial longevity as an independent predictor of survival to advanced ages, we conducted a comparative study of biological and nonbiological relatives of centenarians using a larger sample of 1,945 validated U.S. centenarians born in 1880-1895. We found that male gender of centenarian has a significant positive effect on survival of adult male relatives (brothers and fathers) but not female blood relatives. Life span of centenarian siblings-in-law is lower compared to life span of centenarian siblings and does not depend on centenarian gender. Wives of male centenarians (who share lifestyle and living conditions) have a significantly better survival
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Identifying important parameters for a continuous bioscouring process
Lenting, H.B.M.; Lenting, H.B.M.; Zwier, E.; Nierstrasz, Vincent
2002-01-01
Compared to a bioscouring process in the batch mode, a continuously operating process requires relatively short processing steps. This study focusses on minimizing the required enzymatic incubation time. It is clear that the presence of a sufficient level of surfactant is of major importance in
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Prevalence, predictors, and clinical consequences of medical adherence in IBD: how to improve it?
Lakatos, Peter Laszlo
2009-09-14
Inflammatory bowel diseases (IBD) are chronic diseases with a relapsing-remitting disease course necessitating lifelong treatment. However, non-adherence has been reported in over 40% of patients, especially those in remission taking maintenance therapies for IBD. The economical impact of non-adherence to medical therapy including absenteeism, hospitalization risk, and the health care costs in chronic conditions, is enormous. The causes of medication non-adherence are complex, where the patient-doctor relationship, treatment regimen, and other disease-related factors play key roles. Moreover, subjective assessment might underestimate adherence. Poor adherence may result in more frequent relapses, a disabling disease course, in ulcerative colitis, and an increased risk for colorectal cancer. Improving medication adherence in patients is an important challenge for physicians. Understanding the different patient types, the reasons given by patients for non-adherence, simpler and more convenient dosage regimens, dynamic communication within the health care team, a self-management package incorporating enhanced patient education and physician-patient interaction, and identifying the predictors of non-adherence will help devise suitable plans to optimize patient adherence. This editorial summarizes the available literature on frequency, predictors, clinical consequences, and strategies for improving medical adherence in patients with IBD.
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Predictors of utilisation of dental care services in a nationally representative sample of adults.
Guiney, H; Woods, N; Whelton, H; Morgan, K
2011-12-01
The objective of this study was to identify the predictors of utilisation of dental care services in Ireland. The 2007 Irish Survey of Lifestyle, Attitudes and Nutrition is a cross-sectional study, conducted in 2006/2007 (n = 10,364), by interviews at home to a representative sample of adults aged 18 years or over. Multivariate logistic regression was used to investigate the influence of socioeconomic, predisposing and enabling factors on the odds of males and females having a dental visit in the past year. The significant predictors of visiting the dentist in the past year were for males: having 3rd level education, employment status, earning 50,000 euros or more, location of residence, use of a car, brushing frequently, and dentition status. For females, the predictors were being between 25-34 or 55-64 years-old, education level, earning 50,000 euros or more, location of residence, use of a car, brushing frequently and dentition status. Predictors of the use of dental services vary by gender. Predictors common to both genders were education level, higher income, location of residence, use of a car, brushing frequently and dentition status. Many of the predictors of dental visiting in the past year are also related to social inequalities in health. These predictors may be useful markers of impact for policies designed to address inequalities in access to oral health services.
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International Nuclear Information System (INIS)
Heames, T.J.; Khatib-Rahbar, M.; Kelly, J.E.
1995-01-01
The hierarchy-by-interval (HBI) methodology was developed to determine an appropriate phenomena identification and ranking table for an independent peer review of severe-accident computer codes. The methodology is described, and the results of a specific code review are presented. Use of this systematic and structured approach ensures that important code models that need improvement are identified and prioritized, which allows code sponsors to more effectively direct limited resources in future code development. In addition, critical phenomenological areas that need more fundamental work, such as experimentation, are identified
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Predictors of Outcome for Cognitive Behaviour Therapy in Binge Eating Disorder
Lammers, M.W.; Vroling, M.S.; Ouwens, M.A.; Engels, R.C.M.E.; Strien, T. van
2015-01-01
The aim of this naturalistic study was to identify pretreatment predictors of response to cognitive behaviour therapy in treatment-seeking patients with binge eating disorder (BED; N=304). Furthermore, we examined end-of-treatment factors that predict treatment outcome 6months later (N=190). We
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Predictors of outcome for cognitive behaviour therapy in binge eating disorder
Lammers, M.W.; Vroling, M.S.; Ouwens, M.A.; Engels, R.C.M.E.; van Strien, T.
2015-01-01
The aim of this naturalistic study was to identify pretreatment predictors of response to cognitive behaviour therapy in treatment-seeking patients with binge eating disorder (BED; N = 304). Furthermore, we examined end-of-treatment factors that predict treatment outcome 6 months later (N = 190). We
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Froehlich, Tanya E.; Epstein, Jeffery N.; Nick, Todd G.; Melguizo Castro, Maria S.; Stein, Mark A.; Brinkman, William B.; Graham, Amanda J.; Langberg, Joshua M.; Kahn, Robert S.
2011-01-01
Objective: Because of significant individual variability in attention-deficit/hyperactivity disorder (ADHD) medication response, there is increasing interest in identifying genetic predictors of treatment effects. This study examined the role of four catecholamine-related candidate genes in moderating methylphenidate (MPH) dose-response. Method:…
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DEFF Research Database (Denmark)
Abuzeid, Wael; Fosbøl, Emil Loldrup; Fosbøl, Philip Loldrup
2013-01-01
The rate of conversion of abstracts presented at scientific meetings into peer-reviewed published manuscripts is an important metric for medical societies, because it facilitates translation of scientific knowledge into practice. We determined the rate and predictors of conversion of scientific...... abstracts presented at the Canadian Cardiovascular Congress (CCC) from 2006 to 2010 into peer-reviewed article publications within 2 years of their initial presentation. Using a previously validated computer algorithm, we searched the International Statistical Institute Web of Science to identify peer...
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Clinical predictors of central sleep apnea evoked by positive airway pressure titration.
Moro, Marilyn; Gannon, Karen; Lovell, Kathy; Merlino, Margaret; Mojica, James; Bianchi, Matt T
2016-01-01
Treatment-emergent central sleep apnea (TECSA), also called complex apnea, occurs in 5%-15% of sleep apnea patients during positive airway pressure (PAP) therapy, but the clinical predictors are not well understood. The goal of this study was to explore possible predictors in a clinical sleep laboratory cohort, which may highlight those at risk during clinical management. We retrospectively analyzed 728 patients who underwent PAP titration (n=422 split-night; n=306 two-night). Demographics and self-reported medical comorbidities, medications, and behaviors as well as standard physiological parameters from the polysomnography (PSG) data were analyzed. We used regression analysis to assess predictors of binary presence or absence of central apnea index (CAI) ≥5 during split-night PSG (SN-PSG) versus full-night PSG (FN-PSG) titrations. CAI ≥5 was present in 24.2% of SN-PSG and 11.4% of FN-PSG patients during titration. Male sex, maximum continuous positive airway pressure, and use of bilevel positive airway pressure were predictors of TECSA, and rapid eye movement dominance was a negative predictor, for both SN-PSG and FN-PSG patients. Self-reported narcotics were a positive predictor of TECSA, and the time spent in stage N2 sleep was a negative predictor only for SN-PSG patients. Self-reported history of stroke and the CAI during the diagnostic recording predicted TECSA only for FN-PSG patients. Clinical predictors of treatment-evoked central apnea spanned demographic, medical history, sleep physiology, and titration factors. Improved predictive models may be increasingly important as diagnostic and therapeutic modalities move away from the laboratory setting, even as PSG remains the gold standard for characterizing primary central apnea and TECSA.
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Predictors of chain acquisition among independent dialysis facilities.
Pozniak, Alyssa S; Hirth, Richard A; Banaszak-Holl, Jane; Wheeler, John R C
2010-04-01
To determine the predictors of chain acquisition among independent dialysis providers. Retrospective facility-level data combined from CMS Cost Reports, Medical Evidence Forms, Annual Facility Surveys, and claims for 1996-2003. Independent dialysis facilities' probability of acquisition by a dialysis chain (overall and by chain size) was estimated using a discrete time hazard rate model, controlling for financial and clinical performance, practice patterns, market factors, and other facility characteristics. The sample includes all U.S. freestanding dialysis facilities that report not being chain affiliated for at least 1 year between 1997 and 2003. Above-average costs and better quality outcomes are significant determinants of dialysis chain acquisition. Facilities in larger markets were more likely to be acquired by a chain. Furthermore, small dialysis chains have different acquisition strategies than large chains. Dialysis chains appear to employ a mix of turn-around and cream-skimming strategies. Poor financial health is a predictor of chain acquisition as in other health care sectors, but the increased likelihood of chain acquisition among higher quality facilities is unique to the dialysis industry. Significant differences among predictors of acquisition by small and large chains reinforce the importance of using a richer classification for chain status.
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Personality Traits as Prospective Predictors of Suicide Attempts
Yen, Shirley; Shea, M. Tracie; Sanislow, Charles A.; Skodol, Andrew E.; Grilo, Carlos M.; Edelen, Maria Orlando; Stout, Robert L.; Morey, Leslie C.; Zanarini, Mary C.; Markowitz, John C.; McGlashan, Thomas H.; Daversa, Maria T.; Gunderson, John G.
2009-01-01
OBJECTIVE To examine higher order personality factors of negative affectivity (NA) and disinhibition (DIS), as well as lower order facets of impulsivity, as prospective predictors of suicide attempts in a predominantly personality disordered (PD) sample. METHOD Data were analyzed from 701 participants of the Collaborative Longitudinal Personality Disorders Study (CLPS) with available follow-up data for up to 7 years. Cox proportional hazards regression analyses was used to examine NA and DIS, and facets of impulsivity (e.g., urgency, lack of perseverance, lack of premeditation, and sensation seeking), as prospective predictors of suicide attempts. RESULTS NA, DIS, and all facets of impulsivity except for sensation seeking were significant in univariate analyses. In multivariate models which included sex, childhood sexual abuse (CSA), course of major depressive disorder (MDD) and substance use disorders (SUD), only NA and lack of premeditation remained significant in predicting suicide attempts. Disinhibition and the remaining impulsivity facets were not significant. CONCLUSION Negative affectivity emerged as a stronger and more robust predictor of suicide attempts than disinhibition and impulsivity, and warrants greater attention in suicide risk assessment. Distinguishing between facets of impulsivity is important for clinical risk assessment. PMID:19298413
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Predictors of suicide ideation among older adults with bipolar disorder.
O'Rourke, Norm; Heisel, Marnin J; Canham, Sarah L; Sixsmith, Andrew
2017-01-01
Bipolar disorder (BD) carries the greatest risk of death by suicide of all psychiatric conditions as 25%-50% of those with BD will make one or more suicide attempt, and about 15% will intentionally end their lives. Among young adults with BD, substance misuse, medication non-adherence, age at onset, and comorbid psychiatric conditions each predict self-harm. It is currently unclear if these same factors or others predict suicide ideation among older adults with BD. We recruited a global sample of 220 older adults with BD over 19 days using socio-demographically targeted, social media advertising and online data collection (Mean = 58.50, SD = 5.42; range 50 to 81 years). Path analyses allowed us to identify direct and indirect predictors of suicide ideation among older adults with BD. Cognitive failures (perception, memory, and motor function), depressive symptoms, alcohol misuse, and dissatisfaction with life as direct predictors of suicide ideation; duration of BD symptoms and medication non-adherence emerged as indirect predictors. Of note, the significant impact of sleep on suicide ideation is indirect via depressive symptoms, cognitive failures, medication non-adherence and life dissatisfaction. As with young adults with BD, alcohol misuse and medication non-adherence emerged as significant predictors of suicide ideation. In addition, cognitive failures directly and indirectly predict suicide ideation in this sample of older adults with BD. Population aging and treatment efficacy are leading to ever growing numbers of older adults with BD. Both direct and indirect predictors of suicide ideation need to be considered in future BD research and treatment planning.
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Predictors of avoiding medical care and reasons for avoidance behavior.
Kannan, Viji Diane; Veazie, Peter J
2014-04-01
Delayed medical care has negative health and economic consequences; interventions have focused on appraising symptoms, with limited success in reducing delay. To identify predictors of care avoidance and reasons for avoiding care. Using the Health Information National Trends Survey (2007), we conducted logistic regressions to identify predictors of avoiding medical visits deemed necessary by the respondents; and, we then conducted similar analyses on reasons given for avoidance behavior. Independent variables included geographic, demographic, socioeconomic, personal health, health behavior, health care system, and cognitive characteristics. Approximately one third of adults avoided doctor visits they had deemed necessary. Although unadjusted associations existed, avoiding needed care was not independently associated with geographic, demographic, and socioeconomic characteristics. Avoidance behavior is characterized by low health self-efficacy, less experience with both quality care and getting help with uncertainty about health, having your feelings attended to by your provider, no usual source of care, negative affect, smoking daily, and fatalistic attitude toward cancer. Reasons elicited for avoidance include preference for self-care or alternative care, dislike or distrust of doctors, fear or dislike of medical treatments, time, and money; respondents also endorsed discomfort with body examinations, fear of having a serious illness, and thoughts of dying. Distinct predictors distinguish each of these reasons. Interventions to reduce patient delay could be improved by addressing the health-related behavioral, belief, experiential, and emotional traits associated with delay. Attention should also be directed toward the interpersonal communications between patients and providers.
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International Nuclear Information System (INIS)
Kleijnen, J.P.C.; Helton, J.C.
1999-01-01
The robustness of procedures for identifying patterns in scatterplots generated in Monte Carlo sensitivity analyses is investigated. These procedures are based on attempts to detect increasingly complex patterns in the scatterplots under consideration and involve the identification of (i) linear relationships with correlation coefficients, (ii) monotonic relationships with rank correlation coefficients, (iii) trends in central tendency as defined by means, medians and the Kruskal-Wallis statistic, (iv) trends in variability as defined by variances and interquartile ranges, and (v) deviations from randomness as defined by the chi-square statistic. The following two topics related to the robustness of these procedures are considered for a sequence of example analyses with a large model for two-phase fluid flow: the presence of Type I and Type II errors, and the stability of results obtained with independent Latin hypercube samples. Observations from analysis include: (i) Type I errors are unavoidable, (ii) Type II errors can occur when inappropriate analysis procedures are used, (iii) physical explanations should always be sought for why statistical procedures identify variables as being important, and (iv) the identification of important variables tends to be stable for independent Latin hypercube samples
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Predictors for early diagnosis of cerebral palsy from national registry data
DEFF Research Database (Denmark)
Granild-Jensen, Jakob Bie; Rackauskaite, Gija; Flachs, Esben Meulengracht
2015-01-01
AIM: As early intervention is important in cerebral palsy (CP), an early diagnosis is desirable. The aim of this study was to establish the median diagnostic age of CP and to identify predictors of an early diagnosis in a population-based cohort. METHOD: Using the Danish National Cerebral Palsy...... of motor disability, cerebral ultrasonography results, epilepsy, gestational age, and degree of cognitive impairment. RESULTS: We found the overall median corrected diagnostic age of CP to be 11 months. Early diagnosis was associated with the type of CP, presence of epilepsy, a high degree of motor...... disability, and abnormalities in the cerebral ultrasonography. The gestational age was not associated with the diagnostic age. INTERPRETATION: The median diagnostic age implies that half of the Danish children with CP will be able to enter an early intervention program before 1 year of age. A late diagnosis...
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DEFF Research Database (Denmark)
Jørgensen, Ann Louise; Troelsen, Anders; Ban, Ilija
2014-01-01
PURPOSE: The aim of this study was to survey existing literature in order to identify all reported predictors associated with nonunion or symptomatic malunion in adult patients with displaced midshaft clavicle fractures treated non-operatively. METHOD: A systematic literature search in Medline...... was carried out in order to identify publications in English, reporting on predictors for nonunion and malunion in adults with displaced midshaft clavicle fractures. After applying inclusion and exclusion criteria, eight publications were included in this systematic review. RESULTS: A total of 2,117 midshaft...... factors associated with nonunion were identified, six of these (displacement, comminution, shortening, age, gender and smoking) were reported as predictors for nonunion. Outcome definitions varied among the studies. CONCLUSION: The included publications varied greatly in design, sample size, and quality...
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International Nuclear Information System (INIS)
De Souza Leao Lima, R.; Machado, L.; Azevedo, A.B.; De Lorenzo, A.
2011-01-01
The objective of this study was to identify predictors of abnormal HR response to dipyridamole (DIP) in patients undergoing myocardial perfusion SPECT (MPS). Patients with a reduced heart rate (HR) response to DIP have higher cardiac mortality, but the mechanism is unknown. We studied 432 patients who underwent dual-isotope gated MPS. DIP (0.56 mg/kg) was infused over 4 min, and Tc-99m tetrofosmin was injected 3 min after the end of the infusion. MPS was semiquantitatively interpreted. Left ventricular ejection fraction (LVEF) and volumes were automatically calculated. The population was categorized into quartiles according to HR ratio, and characteristics in each quartile were compared. Logistic regression analysis was performed to identify predictors of abnormal HR response, using the lowest quartile as the independent variable. Patients with abnormal HR response were more frequently without chest pain, with a history of chronic renal failure and taking digoxin. Baseline HR was higher and had fewer symptoms during stress. The stress and rest perfusion defects were greater, but reversibility was not; in addition, LVEF was lower. Multivariable logistic regression analysis demonstrated that the independent predictors of abnormal HR response were baseline HR and low LVEF. LV dysfunction is an independent predictor of abnormal HR response to DIP, and the association between low LVEF and low HR ratio may explain the link between abnormal HR ratio and increased mortality. (author)
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Hippocampal volumes are important predictors for memory function in elderly women
Directory of Open Access Journals (Sweden)
Adolfsdottir Steinunn
2009-08-01
Full Text Available Abstract Background Normal aging involves a decline in cognitive function that has been shown to correlate with volumetric change in the hippocampus, and with genetic variability in the APOE-gene. In the present study we utilize 3D MR imaging, genetic analysis and assessment of verbal memory function to investigate relationships between these factors in a sample of 170 healthy volunteers (age range 46–77 years. Methods Brain morphometric analysis was performed with the automated segmentation work-flow implemented in FreeSurfer. Genetic analysis of the APOE genotype was determined with polymerase chain reaction (PCR on DNA from whole-blood. All individuals were subjected to extensive neuropsychological testing, including the California Verbal Learning Test-II (CVLT. To obtain robust and easily interpretable relationships between explanatory variables and verbal memory function we applied the recent method of conditional inference trees in addition to scatterplot matrices and simple pairwise linear least-squares regression analysis. Results APOE genotype had no significant impact on the CVLT results (scores on long delay free recall, CVLT-LD or the ICV-normalized hippocampal volumes. Hippocampal volumes were found to decrease with age and a right-larger-than-left hippocampal asymmetry was also found. These findings are in accordance with previous studies. CVLT-LD score was shown to correlate with hippocampal volume. Multivariate conditional inference analysis showed that gender and left hippocampal volume largely dominated predictive values for CVLT-LD scores in our sample. Left hippocampal volume dominated predictive values for females but not for males. APOE genotype did not alter the model significantly, and age was only partly influencing the results. Conclusion Gender and left hippocampal volumes are main predictors for verbal memory function in normal aging. APOE genotype did not affect the results in any part of our analysis.
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Predictors of health plan satisfaction among employees in an academic setting.
Dembe, Allard E; Lu, Bo; Sieck, Cynthia J
2010-01-01
This study's goal was to identify the strongest predictors of satisfaction with a health plan offered to employees at a large university in the Midwestern United States. Survey responses from 1533 employees were analyzed (response rate of 51.2%). Unadjusted odds ratios (ORs) were calculated to identify factors that were statistically associated with plan satisfaction. Multivariate logistic regression analyses followed by likelihood ratio testing were conducted to assess the predictive value of particular variables. The strongest predictors of satisfaction with the health plan were the perceived quality of the plan's wellness and prevention services (OR = 3.69), having a personal doctor or nurse (OR = 2.70), being satisfied with the cost of the health plan (OR = 2.18), and having claims handled correctly (OR = 1.90). The factors that have the greatest individual effect on these findings were the quality of the plan's prevention and wellness services and how effectively the plan communicated how much particular services or visits would cost.
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Is parenting style a predictor of suicide attempts in a representative sample of adolescents?
Donath, Carolin; Graessel, Elmar; Baier, Dirk; Bleich, Stefan; Hillemacher, Thomas
2014-04-26
Suicidal ideation and suicide attempts are serious but not rare conditions in adolescents. However, there are several research and practical suicide-prevention initiatives that discuss the possibility of preventing serious self-harm. Profound knowledge about risk and protective factors is therefore necessary. The aim of this study is a) to clarify the role of parenting behavior and parenting styles in adolescents' suicide attempts and b) to identify other statistically significant and clinically relevant risk and protective factors for suicide attempts in a representative sample of German adolescents. In the years 2007/2008, a representative written survey of N = 44,610 students in the 9th grade of different school types in Germany was conducted. In this survey, the lifetime prevalence of suicide attempts was investigated as well as potential predictors including parenting behavior. A three-step statistical analysis was carried out: I) As basic model, the association between parenting and suicide attempts was explored via binary logistic regression controlled for age and sex. II) The predictive values of 13 additional potential risk/protective factors were analyzed with single binary logistic regression analyses for each predictor alone. Non-significant predictors were excluded in Step III. III) In a multivariate binary logistic regression analysis, all significant predictor variables from Step II and the parenting styles were included after testing for multicollinearity. Three parental variables showed a relevant association with suicide attempts in adolescents - (all protective): mother's warmth and father's warmth in childhood and mother's control in adolescence (Step I). In the full model (Step III), Authoritative parenting (protective: OR: .79) and Rejecting-Neglecting parenting (risk: OR: 1.63) were identified as significant predictors (p parental separation events. Parenting style does matter. While children of Authoritative parents profit, children of
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Information needs and risk perception as predictors of risk information seeking
ter Huurne, E.F.J.; Gutteling, Jan M.
2008-01-01
This paper introduces a theoretical framework that describes the importance of public's information sufficiency, risk perception, and self-efficacy as predictors of intended risk information seeking behaviour. Based on theoretical assumptions, measurement instruments for relevant concepts were
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Zhang, Yin; Tang, Leo Shing-Tung; Leung, Louis
2011-12-01
This study explores whether and how gratifications and psychological traits impact people's Facebook use. First, a factor analysis of an online survey (N= 437) outlined a unique set of gratifications obtained from the use of Facebook. Six aspects of gratifications (i.e., social surveillance, entertainment, recognition, emotional support, network extension, and maintenance) were identified. Results from regression analyses showed that psychological traits (i.e., collective self-esteem, online emotional openness, and traitlike communication apprehension) were strong predictors of most Facebook gratifications. Additionally, gratifications and, to a lesser extent, psychological traits significantly predicted Facebook usage, both in perceived importance and different indicators in the level of Facebook use.
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A study of the effect of measurement error in predictor variables in nondestructive assay
International Nuclear Information System (INIS)
Burr, Tom L.; Knepper, Paula L.
2000-01-01
It is not widely known that ordinary least squares estimates exhibit bias if there are errors in the predictor variables. For example, enrichment measurements are often fit to two predictors: Poisson-distributed count rates in the region of interest and in the background. Both count rates have at least random variation due to counting statistics. Therefore, the parameter estimates will be biased. In this case, the effect of bias is a minor issue because there is almost no interest in the parameters themselves. Instead, the parameters will be used to convert count rates into estimated enrichment. In other cases, this bias source is potentially more important. For example, in tomographic gamma scanning, there is an emission stage which depends on predictors (the 'system matrix') that are estimated with error during the transmission stage. In this paper, we provide background information for the impact and treatment of errors in predictors, present results of candidate methods of compensating for the effect, review some of the nondestructive assay situations where errors in predictors occurs, and provide guidance for when errors in predictors should be considered in nondestructive assay
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Age is no barrier: predictors of academic success in older learners
Imlach, Abbie-Rose; Ward, David D.; Stuart, Kimberley E.; Summers, Mathew J.; Valenzuela, Michael J.; King, Anna E.; Saunders, Nichole L.; Summers, Jeffrey; Srikanth, Velandai K.; Robinson, Andrew; Vickers, James C.
2017-11-01
Although predictors of academic success have been identified in young adults, such predictors are unlikely to translate directly to an older student population, where such information is scarce. The current study aimed to examine cognitive, psychosocial, lifetime, and genetic predictors of university-level academic performance in older adults (50-79 years old). Participants were mostly female (71%) and had a greater than high school education level (M = 14.06 years, SD = 2.76), on average. Two multiple linear regression analyses were conducted. The first examined all potential predictors of grade point average (GPA) in the subset of participants who had volunteered samples for genetic analysis (N = 181). Significant predictors of GPA were then re-examined in a second multiple linear regression using the full sample (N = 329). Our data show that the cognitive domains of episodic memory and language processing, in conjunction with midlife engagement in cognitively stimulating activities, have a role in predicting academic performance as measured by GPA in the first year of study. In contrast, it was determined that age, IQ, gender, working memory, psychosocial factors, and common brain gene polymorphisms linked to brain function, plasticity and degeneration (APOE, BDNF, COMT, KIBRA, SERT) did not influence academic performance. These findings demonstrate that ageing does not impede academic achievement, and that discrete cognitive skills as well as lifetime engagement in cognitively stimulating activities can promote academic success in older adults.
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Distribution and Predictors of Pesticides in the Umbilical Cord Blood of Chinese Newborns
Directory of Open Access Journals (Sweden)
Monica K. Silver
2015-12-01
Full Text Available Rates of pesticide use in Chinese agriculture are five times greater than the global average, leading to high exposure via the diet. Many are neurotoxic, making prenatal pesticide exposure a concern. Previous studies of prenatal exposure in China focused almost entirely on organochlorines. Here the study goals were to characterize the exposure of Chinese newborns to all classes of pesticides and identify predictors of those exposures. Eighty-four pesticides and 12 metabolites were measured in the umbilical cord plasma of 336 infants. Composite variables were created for totals detected overall and by class. Individual pesticides were analyzed as dichotomous or continuous, based on detection rates. Relationships between demographic characteristics and pesticides were evaluated using generalized linear regression. Seventy-five pesticides were detected. The mean number of detects per sample was 15.3. Increased pesticide detects were found in the cord blood of infants born in the summer (β = 2.2, p = 0.01, particularly in July (β = 4.0, p = 0.03. Similar trends were observed for individual insecticide classes. Thus, a summer birth was the strongest predictor of pesticide evidence in cord blood. Associations were more striking for overall pesticide exposure than for individual pesticides, highlighting the importance of considering exposure to mixtures of pesticides, rather than individual agents or classes.
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Kader Maideen, Siti Fatimah; Sidik, Sherina Mohd; Rampal, Lekhraj; Mukhtar, Firdaus
2014-01-01
Depression is one of the most common mental health disorders and is an emerging public health problem. The objectives of this paper were to determine the prevalence of depression, its associated factors and the predictors of depression among adults in the community of Selangor. A cross sectional study was conducted in three districts in Selangor, from 11th June to 30th December 2012. The sampling frame was obtained from the Department of Statistics Malaysia (DOS) in May 2012, using the National Population and Housing Census 2010. Adults aged 18 years and above, living in the selected living quarters were approached to participate in the study and requested to complete a set of questionnaires. A total of 1,556 out of 2,152 participants participated in this study, giving an overall study response rate of 61.90%. Patient Health Questionnaire 9 (PHQ-9) was used to determine the presence of depression. The prevalence of depression was 10.3%, based on the PHQ-9 cut off point of 10 and above. Based on multiple logistic regression analysis, the predictors of depression were presence of anxiety, serious problems at work, unhappy relationship with children, high perceived stress, domestic violence, unhappy relationship with spouse, low self-esteem, unhappy relationship with family, serious financial constraint and presence of chronic diseases. When reanalyzed after removing anxiety, high perceived stress and low self-esteem, additional predictors of depression were found to be serious marital problems and religiosity. The prevalence of depression in this study is similar to that found in other studies. Findings from this study are being used as baseline data to develop an effective program to assist in the management of common mental health disorders in the community, in particular depression. The identification of predictors of depression in the community is important to identify the target population for the program.
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Li, Suyun; Camp, Shirley; Finck, Jananne; Winter, Martha; Chapman-Novakofski, Karen
2010-01-01
The primary objective of this study was to determine the variables associated with intention to consume soy products and identify key variables that could be used as targets in soy nutrition education and consumption promotion. A pre/post-test survey was used during a three session class focused on diabetes that discussed and introduced soy foods. The Theory of Planned Behavior framed the questions and variables examined. Subjective norms and behavioral control were most important in predicting intention to consume soy foods. Specifically, health experts and providers were important subjective norms; accessibility and ability to prepare were key behavioural control determinants. While most participants tried soy during the program, taste and texture perceptions did not impact intention to buy soy in adults concerned about diabetes.
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A smart predictor for material property testing
International Nuclear Information System (INIS)
Wang, Wilson; Kanneg, Derek
2008-01-01
A reliable predictor is very useful for real-world industrial applications to forecast the future behavior of dynamic systems. A smart predictor, based on a novel recurrent neural fuzzy (RNF) scheme, is developed in this paper for multi-step-ahead prediction of material properties. A systematic investigation based on two benchmark data sets is conducted in terms of performance and efficiency. Analysis results reveal that, of the data-driven forecasting schemes, predictors based on step input patterns outperform those based on sequential input patterns; the RNF predictor outperforms those based on recurrent neural networks and ANFIS schemes in multi-step-ahead prediction of nonlinear time series. An adaptive Levenberg–Marquardt training technique is adopted to improve the robustness and convergence of the RNF predictor. Furthermore, the proposed smart predictor is implemented for material property testing. Investigation results show that the developed RNF predictor is a reliable forecasting tool for material property testing; it can capture and track the system's dynamic characteristics quickly and accurately. It is also a robust predictor to accommodate different system conditions
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Searching for Psychological Predictors of Suicidal Ideation in University Students
Directory of Open Access Journals (Sweden)
Adelino António Gonçalves Pereira
2018-01-01
Full Text Available ABSTRACT The present study aims to identify psychological predictors of suicidal ideation in university students. We collected a sample of 366 participants, representing a population of 7102 students from a university in northern Portugal (95% CI. Both in the whole sample and in the intra-gender analysis, students with suicidal ideation revealed higher levels of depressive symptoms, loneliness, social anxiety and fears of abandonment, and lower levels of comfort with intimacy and trust in others. Loneliness and depression are significant predictors of suicidal ideation, with an odds ratio of 1.095 and 1.108, respectively. The results were consistent with those found in the literature, and call for more research and implementation of intervention protocols in university populations.
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Predictors of intracranial hemorrhage in adult patients on extracorporeal membrane oxygenation
DEFF Research Database (Denmark)
Fletcher Sandersjöö, Alexander; Bartek, Jiri; Thelin, Eric Peter
2017-01-01
was to identify predictors of ICH in ECMO-treated adult patients. METHODS: We conducted a retrospective review of adult patients (≥18 years) treated with ECMO at the Karolinska University Hospital (Stockholm, Sweden) between September 2005 and June 2016, excluding patients with ICH upon admission or those who...
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PREDICTORS OF QUALITY OF LIFE IN 165 PATIENTS WITH ACROMEGALY: RESULTS FROM A SINGLE-CENTER STUDY.
Kreitschmann-Andermahr, Ilonka; Buchfelder, Michael; Kleist, Bernadette; Kohlmann, Johannes; Menzel, Christa; Buslei, Rolf; Kołtowska-Häggsträm, Maria; Strasburger, Christian; Siegel, Sonja
2017-01-01
Even if treated, acromegaly has a considerable impact on patient quality of life (QoL); despite this, the exact clinical determinants of QoL in acromegaly are unknown. This study retrospectively examines a cohort of treated patients with acromegaly, with the aim of identifying these determinants. Retrospective survey analysis, with 165 patients included in the study. All patients completed a survey, which included demographic data and the clinical details of their disease, the Short Form-36 Health Survey (SF-36), the revised Beck Depression Inventory (BDI-II), and the Bern Embitterment Inventory (BEI). Stepwise regression was used to identify predictors of QoL. The strongest predictors of the physical component score of the SF-36 were (in order of declining strength of association): Delay between first presentation of the disease and diagnosis, body mass index (BMI), number of doctors visited before the diagnosis of acromegaly, and age at diagnosis. For the mental component score, the strongest predictors were: number of doctors visited, previous radiotherapy, and age at study entry; and, for the BDI-II score: number of doctors visited, previous radiotherapy, age at study entry, and employment status at the time of diagnosis. The following were predictors of the BEI score: number of doctors visited, and age at study entry. Diagnostic delay and lack of diagnostic acumen in medical care provision are strong predictors of poor QoL in patients with acromegaly. Other identified parameters are radiotherapy, age, BMI, and employment status. An efficient acromegaly service should address these aspects when devising disease management plans. BDI-II = Beck Depression Inventory II BEI = Bern Embitterment Inventory BMI = body mass index IGF-1 = insulin-like growth factor 1 MCS = mental component summary (score) PCS = physical component summary (score) QoL = quality of life SDS = standard deviation score SF-36 = Short Form-36 Health Survey.
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Directory of Open Access Journals (Sweden)
Carola Rong
2018-04-01
Full Text Available Objectives: Extant evidence indicates that ketamine exerts rapid antidepressant effects in treatment-resistant depressive (TRD symptoms as a part of major depressive disorder (MDD and bipolar disorder (BD. The identification of depressed sub-populations that are more likely to benefit from ketamine treatment remains a priority. In keeping with this view, the present narrative review aims to identify the pretreatment predictors of response to ketamine in TRD as part of MDD and BD. Method: Electronic search engines PubMed/MEDLINE, ClinicalTrials.gov, and Scopus were searched for relevant articles from inception to January 2018. The search term ketamine was cross-referenced with the terms depression, major depressive disorder, bipolar disorder, predictors, and response and/or remission. Results: Multiple baseline pretreatment predictors of response were identified, including clinical (i.e., Body Mass Index (BMI, history of suicide, family history of alcohol use disorder, peripheral biochemistry (i.e., adiponectin levels, vitamin B12 levels, polysomnography (abnormalities in delta sleep ratio, neurochemistry (i.e., glutamine/glutamate ratio, neuroimaging (i.e., anterior cingulate cortex activity, genetic variation (i.e., Val66Met BDNF allele, and cognitive functioning (i.e., processing speed. High BMI and a positive family history of alcohol use disorder were the most replicated predictors. Conclusions: A pheno-biotype of depression more, or less likely, to benefit with ketamine treatment is far from complete. Notwithstanding, metabolic-inflammatory alterations are emerging as possible pretreatment response predictors of depressive symptom improvement, most notably being cognitive impairment. Sophisticated data-driven computational methods that are iterative and agnostic are more likely to provide actionable baseline pretreatment predictive information.
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Richtberg, Samantha; Jakob, Marion; Höfling, Volkmar; Weck, Florian
2017-06-01
Psychotherapy for hypochondriasis has greatly improved over the last decades and cognitive-behavioral treatments are most promising. However, research on predictors of treatment outcome for hypochondriasis is rare. Possible predictors of treatment outcome in cognitive therapy (CT) and exposure therapy (ET) for hypochondriasis were investigated. Characteristics and behaviors of 75 patients were considered as possible predictors: sociodemographic variables (sex, age, and cohabitation); psychopathology (pretreatment hypochondriacal symptoms, comorbid mental disorders, and levels of depression, anxiety, and somatic symptoms); and patient in-session interpersonal behavior. Severity of pretreatment hypochondriacal symptoms, comorbid mental disorders, and patient in-session interpersonal behavior were significant predictors in multiple hierarchical regression analyses. Interactions between the predictors and the treatment (CT or ET) were not found. In-session interpersonal behavior is an important predictor of outcome. Furthermore, there are no specific contraindications to treating hypochondriasis with CT or ET. © 2016 Wiley Periodicals, Inc.
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Predictors of response to occipital nerve stimulation in refractory chronic headache.
Miller, Sarah; Watkins, Laurence; Matharu, Manjit
2017-01-01
Background Occipital nerve stimulation is a promising treatment for refractory chronic headache disorders, but is invasive and costly. Identifying predictors of response would be useful in selecting patients. We present the results of an open-label prospective cohort study of 100 patients (35 chronic migraine, 33 chronic cluster headache, 20 short-lasting unilateral neuralgiform headache attacks and 12 hemicrania continua) undergoing occipital nerve stimulation, using a multivariate binary regression analysis to identify predictors of response. Results Response rate of the cohort was 48%. Multivariate analysis showed short lasting unilateral neuralgiform headache attacks (OR 6.71; 95% CI 1.49-30.05; p = 0.013) and prior response to greater occipital nerve block (OR 4.22; 95% CI 1.35-13.21; p = 0.013) were associated with increased likelihood of response. Presence of occipital pain (OR 0.27; 95% CI 0.09-0.76; p = 0.014) and the presence of severe anxiety and/or depression (as measured on hospital anxiety and depression score) at time of implantation (OR 0.32; 95% CI 0.11-0.91; p = 0.032) were associated with reduced likelihood of response. Conclusion Possible clinical predictors of response to occipital nerve stimulation for refractory chronic headaches have been identified. Our data shows that those with short-lasting unilateral neuralgiform headache attacks respond better than those with chronic migraine, and that a prior response to greater occipital nerve block is associated with positive outcomes. This study suggests that the presence of occipital pain and severe mood disorder at time of implant are both associated with poor outcomes to occipital nerve stimulation.
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Life Span Studies of ADHD—Conceptual Challenges and Predictors of Persistence and Outcome
Caye, Arthur; Swanson, James; Thapar, Anita; Sibley, Margaret; Arseneault, Louise; Hechtman, Lily; Arnold, L. Eugene; Niclasen, Janni; Moffitt, Terrie
2018-01-01
There is a renewed interest in better conceptualizing trajectories of attention-deficit/hyperactivity disorder (ADHD) from childhood to adulthood, driven by an increased recognition of long-term impairment and potential persistence beyond childhood and adolescence. This review addresses the following major issues relevant to the course of ADHD in light of current evidence from longitudinal studies: (1) conceptual and methodological issues related to measurement of persistence of ADHD, (2) estimates of persistence rate from childhood to adulthood and its predictors, (3) long-term negative outcomes of childhood ADHD and their early predictors, and (4) the recently proposed new adult-onset ADHD. Estimates of persistence vary widely in the literature, and diagnostic criteria, sample characteristics, and information source are the most important factors explaining variability among studies. Evidence indicates that ADHD severity, comorbid conduct disorder and major depressive disorder, and treatment for ADHD are the main predictors of ADHD persistence from childhood to adulthood. Comorbid conduct disorder and ADHD severity in childhood are the most important predictors of adverse outcomes in adulthood among children with ADHD. Three recent population studies suggested the existence of a significant proportion of individuals who report onset of ADHD symptoms and impairments after childhood. Finally, we highlight areas for improvement to increase our understanding of ADHD across the life span. PMID:27783340
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Jedial, Jesse T.; Shittu, Aminu; Tambuwal, Faruk M.; Abubakar, Mikail B.; Garba, Muhammed K.; Kwaga, Jacob P.; Fasina, Folorunso O.
2015-01-01
Objectives Escherichia coli are an important group of bacteria in the normal gastrointestinal system but can sometimes cause infections in domestic animals and man. Donkeys are routinely used as multipurpose animal but details of burdens of potentially infectious bacteria associated with it are limited. The prevalence and associations between intestinal shedding of E. coli O157 and animal characteristics and management factors were studied among 240 randomly selected working donkeys in north-western Nigeria. Design Four local government areas, of Sokoto State in north-western Nigeria were recruited in this study. A multistage randomised cluster design was used to select subjects and donkey owners within selected zones. Confirmation of infection was based on bacterial culture, isolation and biochemical test for E. coli O157 from faecal samples. Results Of the total bacteria isolated, 203 of the 329 (61.70 per cent) were E. coli, 76 of which was E. coli serotype O157. A multivariable logistic regression model was used to examine the relation between intestinal shedding of E. coli O157 and selected variables. The analysis yielded five potential predictors of shedding: soft faeces in donkeys, Akaza and Fari ecotypes of donkey were positive predictors while maize straw as feed and sampling during the cold dry period were negative predictors. Conclusions This study concludes that controlling intestinal shedding of E. coli O157 among working donkeys in Nigeria is possible using the identified predictors in planning appropriate interventions to reduced human risk of infection. PMID:26392892
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Predictors of outcomes in outpatients with anorexia nervosa - Results from the ANTOP study.
Wild, Beate; Friederich, Hans-Christoph; Zipfel, Stephan; Resmark, Gaby; Giel, Katrin; Teufel, Martin; Schellberg, Dieter; Löwe, Bernd; de Zwaan, Martina; Zeeck, Almut; Herpertz, Stephan; Burgmer, Markus; von Wietersheim, Jörn; Tagay, Sefik; Dinkel, Andreas; Herzog, Wolfgang
2016-10-30
This study aimed to determine predictors of BMI and recovery for outpatients with anorexia nervosa (AN). Patients were participants of the ANTOP (Anorexia Nervosa Treatment of Out-Patients) trial and randomized to focal psychodynamic therapy (FPT), enhanced cognitive behavior therapy (CBT-E), or optimized treatment as usual (TAU-O). N=169 patients participated in the one-year follow-up (T4). Outcomes were the BMI and global outcome (recovery/partial syndrome/full syndrome) at T4. We examined the following baseline variables as possible predictors: age, BMI, duration of illness, subtype of AN, various axis I diagnoses, quality of life, self-esteem, and psychological characteristics relevant to AN. Linear and logistic regression analyses were conducted to identify the predictors of the BMI and global outcome. The strongest positive predictor for BMI and recovery at T4 was a higher baseline BMI of the patients. Negative predictors for BMI and recovery were a duration of illness >6 years and a lifetime depression diagnosis at baseline. Additionally, higher bodily pain was significantly associated with a lower BMI and self-esteem was a positive predictor for recovery at T4. A higher baseline BMI and shorter illness duration led to a better outcome. Further research is necessary to investigate whether or not AN patients with lifetime depression, higher bodily pain, and lower self-esteem may benefit from specific treatment approaches. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
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Predictors of Availing Maternal Health Schemes: A community based study in Gujarat, India
Directory of Open Access Journals (Sweden)
Kranti Suresh Vora
2014-06-01
Full Text Available Background: India continues to face challenges in improving key maternal health indicators with about 1/3rd of global maternal deaths happening in India. Utilization of health care services is an important issue in India with significant proportion of home deliveries and majority of mothers not receiving adequate antenatal care. Mortality among poor rural women is the highest with lowest utilization. To make maternal healthcare more equitable, numerous schemes such as Janani Suraksha Yojana, Chiranjeevi Yojana, Kasturba Poshan Sahay Yojana have been introduced. Studies suggest that utilization of such schemes by target population is low and there is a need to understand factors affecting maternal health care utilization in the context of these schemes. Current community based study was done in rural Gujarat to understand characteristics of women who utilize such schemes and predictors of utilization. Methodology: Data collection was done in two districts of Gujarat from June to August, 2013 as a pilot phase of MATIND project. Community based cross-sectional study included 827 households and socio-demographic details of 1454 women of 15-49 years age groups were collected. 265 mothers, who had delivered after 1st January, 2013 are included in the regression analyses. The data analysis carried out with R version 3.0.1 software. Results: The analysis indicates socioeconomic variables such as caste, maternal variables such as education and health system variables such as use of government facility are important predictors of maternal health scheme utilization. Results suggest that socioeconomic and health system factors are the best predictors for availing scheme. Conclusion: Health system variables along with individual level variables are important predictors for availing maternal health schemes. The study indicates the need to examine all levels of predictors for utilizing government health schemes to maximize the benefit for underserved
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Predictors of social anxiety in an opioid dependent sample and a control sample.
Shand, Fiona L; Degenhardt, Louisa; Nelson, Elliot C; Mattick, Richard P
2010-01-01
Compared to other mental health problems, social anxiety is under-acknowledged amongst opioid dependent populations. This study aimed to assess levels of social anxiety and identify its predictors in an opioid dependent sample and a matched control group. Opioid dependent participants (n=1385) and controls (n=417) completed the Social Interaction Anxiety Scale (SIAS), the Social Phobia Scale (SPS) and a diagnostic interview. Regression analyses were used to test a range of predictors of social anxiety. Opioid dependent cases had higher mean scores on both scales compared to controls. Predictors of social anxiety centred on emotional rejection in childhood, either by parents or peers. For opioid dependent cases, but not controls, lifetime non-opioid substance dependence (cannabis, sedatives, and tobacco) was associated with higher levels of social anxiety. However, much of the variance in social anxiety remains unexplained for this population.
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Motivational predictors of coping with academic examination.
Doron, Julie; Stephan, Yannick; Maiano, Christophe; Le Scanff, Christine
2011-01-01
The present study focused on the motivational predictors of coping with academic examination through the test of the contribution of self-determination for academic studies and achievement goals. Coping strategies, academic motivation and achievement goals were assessed among 199 undergraduate students. Regression analysis revealed that problem-focused coping is positively predicted by identified regulation and negatively by amotivation, whereas emotion-focused coping is positively predicted by introjected regulation and amotivation. Mastery approach goals contributed positively to problem-focused coping. Identified regulation and mastery approach goals made a unique positive contribution to problem-focused coping, and amotivation was negatively related. Students' coping actions may vary according to both the reasons why they engage in academic studies and the goals they pursue in this setting.
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Predictors of excellent response to lithium
DEFF Research Database (Denmark)
Kessing, Lars Vedel; Hellmund, Gunnar; Andersen, Per Kragh
2011-01-01
The aim of this study was to identify sociodemographic and clinical predictors of excellent response, that is, 'cure' of future affective episodes, to lithium in monotherapy. We used nationwide registers to identify all patients with a diagnosis of bipolar disorder in psychiatric hospital settings...... who were prescribed lithium from 1995 to 2006 in Denmark (N=3762). Excellent lithium responders were defined as patients who after a stabilization lithium start-up period of 6 months, continued lithium in monotherapy without getting hospitalized. The rate of excellent response to lithium...... with somatic comorbidity had increased rates of non-response to lithium compared with patients without somatic comorbidity (HR=1.23, 95% CI: 1.00-1.52).It is concluded that the prevalence of excellent response to lithium monotherapy is low and such patients are characterized by few earlier psychiatric...
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Hellström, Cecilia; Chen, Deliang
2003-11-01
A prerequisite of a successful statistical downscaling is that large-scale predictors simulated by the General Circulation Model (GCM) must be realistic. It is assumed here that features smaller than the GCM resolution are important in determining the realism of the large-scale predictors. It is tested whether a three-step method can improve conventional one-step statistical downscaling. The method uses predictors that are upscaled from a dynamical downscaling instead of predictors taken directly from a GCM simulation. The method is applied to downscaling of monthly precipitation in Sweden. The statistical model used is a multiple regression model that uses indices of large-scale atmospheric circulation and 850-hPa specific humidity as predictors. Data from two GCMs (HadCM2 and ECHAM4) and two RCM experiments of the Rossby Centre model (RCA1) driven by the GCMs are used. It is found that upscaled RCA1 predictors capture the seasonal cycle better than those from the GCMs, and hence increase the reliability of the downscaled precipitation. However, there are only slight improvements in the simulation of the seasonal cycle of downscaled precipitation. Due to the cost of the method and the limited improvements in the downscaling results, the three-step method is not justified to replace the one-step method for downscaling of Swedish precipitation.
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Saber, Deborah A
2014-01-01
Frontline registered nurses' job satisfaction is important because it is tied to retention, organizational commitment, workforce safety, patient safety, and cost savings. The purpose of this study was to comprehensively, quantitatively examine the largest, moderate, and smallest predictors of frontline registered nurse job satisfaction from 1980 to 2009. A non-a priori meta-analysis was used to analyze studies that met inclusion. Sixty-two studies and 27 job satisfaction predictors met inclusion for analysis. The largest effect sizes were found for task requirements (r = .61), empowerment (r = .55), and control (r = .52), and moderate effect sizes were found for 10 predictors. Fail-safe N indicates high reliability. Heterogeneity between studies was present in all of the 27 predictor analyses. The largest predictors of job satisfaction for the frontline registered nurse may be different than previously thought. Supporting past research, autonomy and stress were found to be moderate predictors of satisfaction. Heterogeneity indicates study differences or moderator influence in studies. Copyright © 2014 Elsevier Inc. All rights reserved.
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Psychological predictors of reproductive attitudes among medical students
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Popkov V.M.
2017-09-01
Full Text Available The goal was to determine psychological predictors of reproductive attitudes among medical students. Material and Methods. The survey of 84 students (of the 3rd and the 5th year of medical faculty of Saratov State Medical University n.a. V. I. Razumovsky was carried out using a combination of methods (questionnaire, testing aimed to achieve the research goal. Results. Features of reproductive attitudes and reproductive intentions of students, as well as psychological characteristics of youth, such as personal maturity, belief in people and value orientations were studied. Psy- chological predictors of reproductive attitudes among medical students were determined. Conclusion. It was revealed that reproductive attitudes among students of the 5th year were higher than those of the 3rd year. There were gender differences in psychological predictors of reproductive attitudes among students. It was experimentally established that existence of faith in people, high level of personal maturity, high importance of personal values, altruistic values and values of acceptance of others had a positive impact on reproductive attitudes among young people. Based on the results of the study, recommendations were developed with the aim to improve reproductive attitudes and psychological readiness for parenting of medical students.
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Newcomers to Social Categories: Longitudinal Predictors and Consequences of Ingroup Identification
van Veelen, R.; Eisenbeiss, Kerstin; Otten, Sabine
In the present article, we propose a dynamic model of the longitudinal predictors and consequences of ingroup identification among newcomers to a social category. We hypothesize a shift in the relative importance of intragroup affiliation as compared with intergroup differentiation for ingroup
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Newcomers to social categories : Longitudinal predictors and consequences of ingroup identification
van Veelen, Ruth; Eisenbeiss, Kerstin Karen; Otten, Sabine
In the present article, we propose a dynamic model of the longitudinal predictors and consequences of ingroup identification among newcomers to a social category. We hypothesize a shift in the relative importance of intragroup affiliation as compared with intergroup differentiation for ingroup
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Predictors of recurrent stroke after percutaneous closure of patent foramen ovale
DEFF Research Database (Denmark)
Rudolph, Volker; Augustin, Jahan; Hofmann, Thomas
2014-01-01
paradoxical embolic stroke were followed for a median time of 43.0 [interquartile range: 20.0-86.0] months. During the follow-up period a total of 22 (5.0%) strokes/TIAs and 17 (3.8%) deaths were observed. Cox regression analysis identified hypertension, age and the Essen stroke risk score as predictors...
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Demirchyan, Anahit; Petrosyan, Varduhi; Thompson, Michael E
2012-11-14
Self-rated health is a widely used health outcome measure that strongly correlates with physical and mental health status and predicts mortality. This study identified the set of predictors of fair/poor self-rated health in adult female and male populations of Armenia during a period of long-lasting socio-economic transition to a market economy. Differences in self-rated health were analyzed along three dimensions: socioeconomic, behavioral/attitudinal, and psychosocial. The study utilized data from a 2006 nationwide household health survey that used a multi-stage probability proportional to size cluster sampling with a combination of interviewer-administered and self-administered surveys. Both female and male representatives of a household aged 18 and over completed the self-administered survey. Multivariate odds ratios (OR) for fair/poor self-rated health were calculated for different sets of variables and logistic regression models fitted separately for women and men to identify the determinants of fair/poor self-rated health. Overall, 2310 women and 462 men participated in the survey. The rate of fair/poor self-rated health was 61.8% among women and 59.7% among men. For women, the set of independent predictors of fair/poor self-rated health included age, unemployment, poverty, low affordability of healthcare, depression, and weak social support. For men, the set included age, lower education, depression, weak social support, and drinking alcohol less than once a week. For both genders, depression and weak social support demonstrated the strongest independent association with fair/poor self-rated health. The prevalence of fair/poor self-rated health was similar among men and women in this study, but the sets of independent predictors of perceived health differed somewhat, possibly, reflecting lifestyle differences between men and women in Armenia. Nevertheless, psychosocial variables were the strongest predictors of fair/poor self-rated health for both genders
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Directory of Open Access Journals (Sweden)
Demirchyan Anahit
2012-11-01
Full Text Available Abstract Introduction Self-rated health is a widely used health outcome measure that strongly correlates with physical and mental health status and predicts mortality. This study identified the set of predictors of fair/poor self-rated health in adult female and male populations of Armenia during a period of long-lasting socio-economic transition to a market economy. Methods Differences in self-rated health were analyzed along three dimensions: socioeconomic, behavioral/attitudinal, and psychosocial. The study utilized data from a 2006 nationwide household health survey that used a multi-stage probability proportional to size cluster sampling with a combination of interviewer-administered and self-administered surveys. Both female and male representatives of a household aged 18 and over completed the self-administered survey. Multivariate odds ratios (OR for fair/poor self-rated health were calculated for different sets of variables and logistic regression models fitted separately for women and men to identify the determinants of fair/poor self-rated health. Results Overall, 2310 women and 462 men participated in the survey. The rate of fair/poor self-rated health was 61.8% among women and 59.7% among men. For women, the set of independent predictors of fair/poor self-rated health included age, unemployment, poverty, low affordability of healthcare, depression, and weak social support. For men, the set included age, lower education, depression, weak social support, and drinking alcohol less than once a week. For both genders, depression and weak social support demonstrated the strongest independent association with fair/poor self-rated health. Conclusions The prevalence of fair/poor self-rated health was similar among men and women in this study, but the sets of independent predictors of perceived health differed somewhat, possibly, reflecting lifestyle differences between men and women in Armenia. Nevertheless, psychosocial variables were the
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Polin, Baptiste; Behar, Nathalie; Galand, Vincent; Auffret, Vincent; Behaghel, Albin; Pavin, Dominique; Daubert, Jean-Claude; Mabo, Philippe; Leclercq, Christophe; Martins, Raphael P
2017-10-15
Atrioventricular node (AVN) ablation is usually a simple procedure but may sometimes be challenging. We aimed at identifying pre-procedural clinical predictors of challenging AVN ablation. Patients referred for AVN ablation from 2009 to 2015 were retrospectively included. Baseline clinical data, procedural variables and outcomes of AVN ablation were collected. A "challenging procedure" was defined 1) total radiofrequency delivery to get persistent AVN block≥400s, 2) need for left-sided arterial approach or 3) failure to obtain AVN ablation. 200 patients were included (71±10years). A total of 37 (18.5%) patients had "challenging" procedures (including 9 failures, 4.5%), while 163 (81.5%) had "non-challenging" ablations. In multivariable analysis, male sex (Odds ratio (OR)=4.66, 95% confidence interval (CI): 1.74-12.46), body mass index (BMI, OR=1.08 per 1kg/m 2 , 95%CI 1.01-1.16), operator experience (OR=0.40, 95%CI 0.17-0.94), and moderate-to-severe tricuspid regurgitation (TR, OR=3.65, 95%CI 1.63-8.15) were significant predictors of "challenging" ablations. The proportion as a function of number of predictors was analyzed (from 0 to 4, including male sex, operator inexperience, a BMI>23.5kg/m 2 and moderate-to-severe TR). There was a gradual increase in the risk of "challenging" procedure with the number of predictors by patient (No predictor: 0%; 1 predictor: 6.3%; 2 predictors: 16.5%; 3 predictors: 32.5%; 4 predictors: 77.8%). Operator experience, male sex, higher BMI and the degree of TR were independent predictors of "challenging" AVN ablation procedure. The risk increases with the number of predictors by patient. Copyright © 2017. Published by Elsevier B.V.
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Predictors of Onset of Wheezing in Grain Elevator Workers
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Punam Pahwa
1998-01-01
Full Text Available A longitudinal study of Canadian grain elevator workers over a 12-year period was conducted. Data on respiratory symptoms and pulmonary function tests were collected once every three years as part of the Grain Dust Medical Surveillance Program started by Labour Canada in 1978; each three-year interval was called a 'cycle'. Of workers who had two or more observations, 1848 subjects (67.2% were free of respiratory symptoms (wheeze, dyspnea, cough or sputum at the baseline (cycle II. Predictors of first episode of wheezing were examined in these symptoms-free grain workers. Baseline mean age ± SD of the grain workers was 34.0±11.4 years and mean duration of work in the industry was 9.9±8.7 years. Of the 1848 symptoms-free grain workers at cycle II, 203 (11.0% subsequently reported wheezing during the study. Cox's proportional hazards model for analysis of survival data was used to determine significant predictors of first episode of wheezing. Significant predictors for first episode of wheezing were current smoking (relative risk [RR] 2.33; 95% CI 1.63 to 3.33; P<0.0001 and baseline forced expiratory volume in 1 s to forced vital capacity ratio [RR 0.02; 95% CI 0.003 to 0.20; P<0.0001. Baseline pulmonary function measurements and smoking habits appear to be important predictors of future development of asthma-like symptoms in grain elevator workers.
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Predictors of new vertebral endplate signal (Modic) changes in the general population
DEFF Research Database (Denmark)
Jensen, Tue Secher; Kjaer, Per; Korsholm, Lars
2010-01-01
predictors of new VESC were female gender, disc-related MRI findings (disc degeneration, disc bulges, disc herniation, and other endplate changes) and lifestyle factors [high physical work or leisure activity, high body mass index (BMI), and heavy smoking]. Bivariate and multivariate logistic regressions...... with disc degeneration, bulges or herniations at 40 were the only predictors of new VESC at age 44. Therefore, the development of new VESC at the age of 44 appears to be based on the status and dynamics of the disc, rather than being the result of gender or lifestyle factors such as smoking and physical...... were used to identify predictors of new VESC. New VESC at the age of 44 appeared in 67 of the 344. The majority (84%) of these new signal changes were type 1 VESC and almost half (45%) were only in the endplate and did not extend into the vertebral body. In the multivariate analysis, lumbar disc levels...
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Unique genetic loci identified for emotional behavior in control and chronic stress conditions.
Directory of Open Access Journals (Sweden)
Kimberly AK Carhuatanta
2014-10-01
Full Text Available An individual’s genetic background affects their emotional behavior and response to stress. Although studies have been conducted to identify genetic predictors for emotional behavior or stress response, it remains unknown how prior stress history alters the interaction between an individual’s genome and their emotional behavior. Therefore, the purpose of this study is to identify chromosomal regions that affect emotional behavior and are sensitive to stress exposure. We utilized the BXD behavioral genetics mouse model to identify chromosomal regions that predict fear learning and emotional behavior following exposure to a control or chronic stress environment. 62 BXD recombinant inbred strains and C57BL/6 and DBA/2 parental strains underwent behavioral testing including a classical fear conditioning paradigm and the elevated plus maze. Distinct quantitative trait loci (QTLs were identified for emotional learning, anxiety and locomotion in control and chronic stress populations. Candidate genes, including those with already known functions in learning and stress were found to reside within the identified QTLs. Our data suggest that chronic stress history reveals novel genetic predictors of emotional behavior.
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Permutation importance: a corrected feature importance measure.
Altmann, André; Toloşi, Laura; Sander, Oliver; Lengauer, Thomas
2010-05-15
In life sciences, interpretability of machine learning models is as important as their prediction accuracy. Linear models are probably the most frequently used methods for assessing feature relevance, despite their relative inflexibility. However, in the past years effective estimators of feature relevance have been derived for highly complex or non-parametric models such as support vector machines and RandomForest (RF) models. Recently, it has been observed that RF models are biased in such a way that categorical variables with a large number of categories are preferred. In this work, we introduce a heuristic for normalizing feature importance measures that can correct the feature importance bias. The method is based on repeated permutations of the outcome vector for estimating the distribution of measured importance for each variable in a non-informative setting. The P-value of the observed importance provides a corrected measure of feature importance. We apply our method to simulated data and demonstrate that (i) non-informative predictors do not receive significant P-values, (ii) informative variables can successfully be recovered among non-informative variables and (iii) P-values computed with permutation importance (PIMP) are very helpful for deciding the significance of variables, and therefore improve model interpretability. Furthermore, PIMP was used to correct RF-based importance measures for two real-world case studies. We propose an improved RF model that uses the significant variables with respect to the PIMP measure and show that its prediction accuracy is superior to that of other existing models. R code for the method presented in this article is available at http://www.mpi-inf.mpg.de/ approximately altmann/download/PIMP.R CONTACT: altmann@mpi-inf.mpg.de, laura.tolosi@mpi-inf.mpg.de Supplementary data are available at Bioinformatics online.
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Automated computer-based CT stratification as a predictor of outcome in hypersensitivity pneumonitis
International Nuclear Information System (INIS)
Jacob, Joseph; Mak, S.M.; Mok, W.; Hansell, D.M.; Bartholmai, B.J.; Rajagopalan, S.; Karwoski, R.; Della Casa, G.; Sugino, K.; Walsh, S.L.F.; Wells, A.U.
2017-01-01
Hypersensitivity pneumonitis (HP) has a variable clinical course. Modelling of quantitative CALIPER-derived CT data can identify distinct disease phenotypes. Mortality prediction using CALIPER analysis was compared to the interstitial lung disease gender, age, physiology (ILD-GAP) outcome model. CALIPER CT analysis of parenchymal patterns in 98 consecutive HP patients was compared to visual CT scoring by two radiologists. Functional indices including forced vital capacity (FVC) and diffusion capacity for carbon monoxide (DLco) in univariate and multivariate Cox mortality models. Automated stratification of CALIPER scores was evaluated against outcome models. Univariate predictors of mortality included visual and CALIPER CT fibrotic patterns, and all functional indices. Multivariate analyses identified only two independent predictors of mortality: CALIPER reticular pattern (p = 0.001) and DLco (p < 0.0001). Automated stratification distinguished three distinct HP groups (log-rank test p < 0.0001). Substitution of automated stratified groups for FVC and DLco in the ILD-GAP model demonstrated no loss of model strength (C-Index = 0.73 for both models). Model strength improved when automated stratified groups were combined with the ILD-GAP model (C-Index = 0.77). CALIPER-derived variables are the strongest CT predictors of mortality in HP. Automated CT stratification is equivalent to functional indices in the ILD-GAP model for predicting outcome in HP. (orig.)
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Automated computer-based CT stratification as a predictor of outcome in hypersensitivity pneumonitis
Energy Technology Data Exchange (ETDEWEB)
Jacob, Joseph; Mak, S.M.; Mok, W.; Hansell, D.M. [Royal Brompton and Harefield NHS Foundation Trust, Department of Radiology, Royal Brompton Hospital, London (United Kingdom); Bartholmai, B.J. [Mayo Clinic Rochester, Division of Radiology, Rochester, MN (United States); Rajagopalan, S.; Karwoski, R. [Mayo Clinic Rochester, Biomedical Imaging Resource, Rochester, MN (United States); Della Casa, G. [Universita degli Studi di Modena e Reggio Emilia, Modena, Emilia-Romagna (Italy); Sugino, K. [Toho University Omori Medical Centre, Tokyo (Japan); Walsh, S.L.F. [Kings College Hospital, London (United Kingdom); Wells, A.U. [Royal Brompton and Harefield NHS Foundation Trust, Interstitial Lung Disease Unit, Royal Brompton Hospital, London (United Kingdom)
2017-09-15
Hypersensitivity pneumonitis (HP) has a variable clinical course. Modelling of quantitative CALIPER-derived CT data can identify distinct disease phenotypes. Mortality prediction using CALIPER analysis was compared to the interstitial lung disease gender, age, physiology (ILD-GAP) outcome model. CALIPER CT analysis of parenchymal patterns in 98 consecutive HP patients was compared to visual CT scoring by two radiologists. Functional indices including forced vital capacity (FVC) and diffusion capacity for carbon monoxide (DLco) in univariate and multivariate Cox mortality models. Automated stratification of CALIPER scores was evaluated against outcome models. Univariate predictors of mortality included visual and CALIPER CT fibrotic patterns, and all functional indices. Multivariate analyses identified only two independent predictors of mortality: CALIPER reticular pattern (p = 0.001) and DLco (p < 0.0001). Automated stratification distinguished three distinct HP groups (log-rank test p < 0.0001). Substitution of automated stratified groups for FVC and DLco in the ILD-GAP model demonstrated no loss of model strength (C-Index = 0.73 for both models). Model strength improved when automated stratified groups were combined with the ILD-GAP model (C-Index = 0.77). CALIPER-derived variables are the strongest CT predictors of mortality in HP. Automated CT stratification is equivalent to functional indices in the ILD-GAP model for predicting outcome in HP. (orig.)
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International Nuclear Information System (INIS)
Suntharalingam, M.; Vines, E.; Slawson, R.; Doyle, A.; Schuetz, J.; Greenwald, B.; Sonnet, J.; Krasna, M.
1997-01-01
Purpose/Objective: Since 1992, the University of Maryland has routinely performed preoperative surgical staging including thoracoscopy and laparoscopy on patients undergoing concurrent chemoradiation followed by surgical resection for esophageal carcinoma. We have performed an analysis of the pathologic pretreatment data in an attempt to identify possible predictors of response and outcome. Materials: Patients underwent thoracoscopy and laparoscopy in order to determine resectability of the primary lesion and pathologic nodal status prior to therapy. To date, 32 patients have completed triple modality therapy (28 men, 4 women, median age 59). Patients received 50.4 Gy in 1.8 Gy fractions in conjunction with two cycles of 5-FU (1 gm/m2) and Cisplatin (100 mg/m2) on days 1 and 28. Radiotherapy fields were determined by the extent of disease discovered at time of surgical staging. Ivor Lewis esophagectomy was performed 4 to 6 weeks after completion of chemo/RT. The median follow up is 24.8 months (range 4-49 mo.) Sixteen patients had squamous cell ca and 16 had adenocarcinoma. Univariate and multivariate analysis was performed in order to determine the influence of age, KPS, T stage, Lymph Nodes status and histology, on the likelihood of achieving a pathologic complete response and disease free survival. Results: Twenty-eight have undergone preoperative staging (2 refused, 2 medical contraindications.) All 32 patients are valuable for response to therapy and are included in the analysis. The three year cause specific and disease free survival is 46% and 41% respectively with a median CSS of 23 months and DFS of 19 months. The overall complete response rate assessed by histologic and immunohistologic evaluation at the time of esophagectomy is 31%. The DFS at 32 months is 72% (median not reached) for these patients versus 24% for those with residual disease at the time of surgery. The most significant predictor for the likelihood of achieving a pathologic CR was the
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Childhood Depression: Relation to Adaptive, Clinical and Predictor Variables
Garaigordobil, Maite; Bernar?s, Elena; Jaureguizar, Joana; Machimbarrena, Juan M.
2017-01-01
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...
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Predictors of successful closure of patent ductus arteriosus with indomethacin.
Ahamed, M F; Verma, P; Lee, S; Vega, M; Wang, D; Kim, M; Fuloria, M
2015-09-01
To determine whether platelet counts can predict the likelihood of successful closure of patent ductus arteriosus (PDA) with indomethacin. This was a retrospective cohort study of infants closure with indomethacin and those who failed were compared. Multivariable logistic regression was used to identify predictors of successful ductal closure. In infants with hemodynamically significant PDA, older GA (odds ratio=1.54; 95% confidence interval: 1.12 to 2.13), male gender (odds ratio=3.02; 95% confidence interval: 1.08 to 8.49) and higher platelet count (odds ratio=1.5; 95% confidence interval: 1.04 to 2.17) prior to indomethacin treatment were associated with successful ductal closure with indomethacin. Older GA, male gender and higher platelet count at time of treatment of hemodynamically significant PDA are predictors of successful ductal closure with indomethacin.
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Directory of Open Access Journals (Sweden)
Gignac Monique AM
2007-06-01
Full Text Available Abstract Background The ability to locate those sampled has important implications for response rates and thus the success of survey research. The purpose of this study was to examine predictors of locating women requiring tracing using publicly available methods (primarily Internet searches, and to determine the additional benefit of vital statistics linkages. Methods Random samples of women aged 65–89 years residing in two regions of Ontario, Canada were selected from a list of those who completed a questionnaire between 1995 and 1997 (n = 1,500. A random sample of 507 of these women had been searched on the Internet as part of a feasibility pilot in 2001. All 1,500 women sampled were mailed a newsletter and information letter prior to recruitment by telephone in 2003 and 2004. Those with returned mail or incorrect telephone number(s required tracing. Predictors of locating women were examined using logistic regression. Results Tracing was required for 372 (25% of the women sampled, and of these, 181 (49% were located. Predictors of locating women were: younger age, residing in less densely populated areas, having had a web-search completed in 2001, and listed name identified on the Internet prior to recruitment in 2003. Although vital statistics linkages to death records subsequently identified 41 subjects, these data were incomplete. Conclusion Prospective studies may benefit from using Internet resources at recruitment to determine the listed names for telephone numbers thereby facilitating follow-up tracing and improving response rates. Although vital statistics linkages may help to identify deceased individuals, these may be best suited for post hoc response rate adjustment.
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Olsen, Rebecca M; Bryant, Carol A; McDermott, Robert J; Ortinau, David
2013-01-01
The perpetual search for ways to improve pediatric health care quality has resulted in a multitude of assessments and strategies; however, there is little research evidence as to their conditions for maximum effectiveness. A major reason for the lack of evaluation research and successful quality improvement initiatives is the methodological challenge of measuring quality from the parent perspective. Comparison of performance-only and importance-performance models was done to determine the better predictor of pediatric health care quality and more successful method for improving the quality of care provided to children. Fourteen pediatric health care centers serving approximately 250,000 patients in 70,000 households in three West Central Florida counties were studied. A cross-sectional design was used to determine the importance and performance of 50 pediatric health care attributes and four global assessments of pediatric health care quality. Exploratory factor analysis revealed five dimensions of care (physician care, access, customer service, timeliness of services, and health care facility). Hierarchical multiple regression compared the performance-only and the importance-performance models. In-depth interviews, participant observations, and a direct cognitive structural analysis identified 50 health care attributes included in a mailed survey to parents(n = 1,030). The tailored design method guided survey development and data collection. The importance-performance multiplicative additive model was a better predictor of pediatric health care quality. Attribute importance moderates performance and quality, making the importance-performance model superior for measuring and providing a deeper understanding of pediatric health care quality and a better method for improving the quality of care provided to children. Regardless of attribute performance, if the level of attribute importance is not taken into consideration, health care organizations may spend valuable
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Directory of Open Access Journals (Sweden)
Ramiro Caballero Hoyos
2001-12-01
Full Text Available OBJETIVO: El estrato socioeconómico juega un rol importante en las desigualdades en salud. En México, la prevalencia más alta de casos de SIDA se encuentra en población de estratos más bajos. El propósito de lo estudio fue describir el estrato socioeconómico (ajustado por variables psicosociales, situacionales y demográficas como un factor predictor del uso consistente del condón, en adolescentes. MÉTODOS: Se incluyó en el estudio una muestra de una encuesta previa aplicada a 1.410 adolescentes de 15 a 19 años y estratificada por edad, género y estrato socioeconómico de Guadalajara, México. El análisis fue aplicado sobre los 251 adolescentes que reportaron actividad sexual. El análisis estadístico se realizó mediante Ji Cuadrada, t-test, ANOVA y regresión logística. RESULTADOS: La frecuencia de uso consistente de condón fue 30,7% y hubo una prevalencia de uso irregular. El estrato socioeconómico alto fue el principal predictor (OR= 11,1, CI95%= 2,6-47,6. Otros predictores significativos fueron el género masculino, el soporte de los pares y el nivel alto de conocimientos sobre VIH/SIDA. CONCLUSIÓN: El estrato socioeconómico es un importante factor predictor del uso consistente del condón.INTRODUCTION: Socioeconomic level plays an important role in health inequalities. In Mexico, the highest prevalence of AIDS cases is among individuals of lower socioeconomic level. The purpose of the study was to describe the socioeconomic level (adjusted for psychosocial, situational and demographic variables as a predictor factor for the consistent condom use among adolescents of Guadalajara, Mexico. METHODS: A sample of 1,410 adolescents, aged 15 to 19 years, drawn from a previous survey stratified by age, gender and socioeconomic strata was included in the study. Analysis was performed in 251 adolescents who reported sexual activity. Statistical analysis was performed using Chi-square, t-test, ANOVA, and logistic regression. RESULTS
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Native language predictors of foreign language proficiency and foreign language aptitude.
Sparks, Richard L; Patton, Jon; Ganschow, Leonore; Humbach, Nancy; Javorsky, James
2006-06-01
Fifty-four students were tested at specific time intervals over 10 years to determine best native language (NL) predictors of oral and written foreign language (FL) proficiency and FL aptitude. All participants completed two years of Spanish, French, or German. Each was administered measures of NL literacy, oral language, and cognitive ability in elementary school. A measure of FL aptitude was administered at the beginning of ninth grade and FL proficiency was evaluated at the end of the 10th grade. Among the variables, NL literacy measures were the best predictors of FL proficiency, and NL achievement and general (verbal) intelligence were strong predictors of FL aptitude. Results suggest that indices of NL literacy as early as first grade are related to FL proficiency and FL aptitude nine and 10 years later. Findings provide strong support for connections between L1 and L2 skills, and for speculation that "lower level" skills in phonological processing are important for written language development and oral proficiency in a FL.
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Cognitive predictors of adaptive functioning in children with symptomatic epilepsy.
Kerr, Elizabeth N; Fayed, Nora
2017-10-01
The current study sought to understand the contribution of the attention and working memory challenges experienced by children with active epilepsy without an intellectual disability to adaptive functioning (AF) while taking into account intellectual ability, co-occurring brain-based psychosocial diagnoses, and epilepsy-related variables. The relationship of attention and working memory with AF was examined in 76 children with active epilepsy with intellectual ability above the 2nd percentile recruited from a tertiary care center. AF was measured using the Scales of Independent Behavior-Revised (SIB-R) and compared with norm-referenced data. Standardized clinical assessments of attention span, sustained attention, as well as basic and more complex working memory were administered to children. Commonality analysis was used to investigate the importance of the variables with respect to the prediction of AF and to construct parsimonious models to elucidate the factors most important in explaining AF. Seventy-one percent of parents reported that their child experienced mild to severe difficulties with overall AF. Similar proportions of children displayed limitations in domain-specific areas of AF (Motor, Social/Communication, Person Living, and Community Living). The reduced models for Broad and domain-specific AF produced a maximum of seven predictor variables, with little loss in overall explained variance compared to the full models. Intellectual ability was a powerful predictor of Broad and domain-specific AF. Complex working memory was the only other cognitive predictor retained in each of the parsimonious models of AF. Sustained attention and complex working memory explained a large amount of the total variance in Motor AF. Children with a previously diagnosed comorbidity displayed lower Social/Communication, Personal Living, and Broad AF than those without a diagnosis. At least one epilepsy-related variable appeared in each of the reduced models, with age of
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Cognitive and emotional predictors of episodic and dispositional forgiveness
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Mróz Justyna
2017-06-01
Full Text Available The study examined the importance of cognitive (positive orientation, basic hope and emotional (positive and negative affectivity, emotional control variables for state and trait forgiveness. One hundred and thirty nine participants completed six inventories in Polish version: HFS (Thompson et al., 2005, TRIM (McCullough et al., 1998, P-Scale (Caprara et al., 2012, BHI-12 (Trzebiński & Zięba, 2003a, SUPIN (Polish version of PANAS; Watson, Clark, & Tellegen, 1988, CECS (Watson & Greer, 1983. Results showed that dispositional forgiveness (general and positive was associated with cognitive and emotional predictors, whereas episodic forgiveness primarily with certain emotional variables. In addition, the results indicated that emotional predictors merely participate in the process of reducing unforgiveness, whereas cognitive and emotional variables were shown to be necessary for full forgiveness.
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Taylor, Catherine A.; McKasson, Sarah; Hoy, Guenevere; DeJong, William
2016-01-01
Despite the risk it poses to children’s mental and physical health, approval and use of corporal punishment (CP) remains high in the United States. Informed by the Theory of Planned Behavior, we examined potential predictors of attitudes supportive of CP while assessing the moderating effects of parents’ (N=500) chosen primary professional source of advice regarding child discipline: pediatricians (47.8%), religious leaders (20.8%), mental health professionals (MHPs) (n=18.4%), or other identified professionals (13.0%). We conducted a random-digit-dial telephone survey among parents ages 18 and over within New Orleans, LA. The main outcome measure was derived from the Attitudes Toward Spanking scale (ATS). The main “predictors” were: perceived injunctive norms (i.e., perceived approval of CP by professionals; and by family and friends), perceived descriptive norms of family and friends regarding CP, and expected outcomes of CP use. We used multivariate OLS models to regress ATS scores on the predictor variables for each subset of parents based on their chosen professional source of advice. Perceived approval of CP by professionals was the strongest predictor of parental attitudes supportive of CP, except for those seeking advice from MHPs. Perceived injunctive and descriptive norms of family and friends were important, but only for those seeking advice from pediatricians or religious leaders. Positive expected outcomes of CP mattered, but only for those seeking advice from religious leaders or MHPs. In conclusion, the strength and relevance of variables predicting attitudes toward CP varied according to the professional from which the parent was most likely to seek advice. PMID:28529440
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LocateP: Genome-scale subcellular-location predictor for bacterial proteins
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Zhou Miaomiao
2008-03-01
Full Text Available Abstract Background In the past decades, various protein subcellular-location (SCL predictors have been developed. Most of these predictors, like TMHMM 2.0, SignalP 3.0, PrediSi and Phobius, aim at the identification of one or a few SCLs, whereas others such as CELLO and Psortb.v.2.0 aim at a broader classification. Although these tools and pipelines can achieve a high precision in the accurate prediction of signal peptides and transmembrane helices, they have a much lower accuracy when other sequence characteristics are concerned. For instance, it proved notoriously difficult to identify the fate of proteins carrying a putative type I signal peptidase (SPIase cleavage site, as many of those proteins are retained in the cell membrane as N-terminally anchored membrane proteins. Moreover, most of the SCL classifiers are based on the classification of the Swiss-Prot database and consequently inherited the inconsistency of that SCL classification. As accurate and detailed SCL prediction on a genome scale is highly desired by experimental researchers, we decided to construct a new SCL prediction pipeline: LocateP. Results LocateP combines many of the existing high-precision SCL identifiers with our own newly developed identifiers for specific SCLs. The LocateP pipeline was designed such that it mimics protein targeting and secretion processes. It distinguishes 7 different SCLs within Gram-positive bacteria: intracellular, multi-transmembrane, N-terminally membrane anchored, C-terminally membrane anchored, lipid-anchored, LPxTG-type cell-wall anchored, and secreted/released proteins. Moreover, it distinguishes pathways for Sec- or Tat-dependent secretion and alternative secretion of bacteriocin-like proteins. The pipeline was tested on data sets extracted from literature, including experimental proteomics studies. The tests showed that LocateP performs as well as, or even slightly better than other SCL predictors for some locations and outperforms
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Sleep and academic performance in undergraduates: a multi-measure, multi-predictor approach.
Gomes, Ana Allen; Tavares, Jos; de Azevedo, Maria Helena P
2011-11-01
The present study examined the associations of sleep patterns with multiple measures of academic achievement of undergraduate university students and tested whether sleep variables emerged as significant predictors of subsequent academic performance when other potential predictors, such as class attendance, time devoted to study, and substance use are considered. A sample of 1654 (55% female) full-time undergraduates 17 to 25 yrs of age responded to a self-response questionnaire on sleep, academics, lifestyle, and well-being that was administered at the middle of the semester. In addition to self-reported measures of academic performance, a final grade for each student was collected at the end of the semester. Univariate analyses found that sleep phase, morningness/eveningness preference, sleep deprivation, sleep quality, and sleep irregularity were significantly associated with at least two academic performance measures. Among 15 potential predictors, stepwise multiple regression analysis identified 5 significant predictors of end-of-semester marks: previous academic achievement, class attendance, sufficient sleep, night outings, and sleep quality (R(2)=0.14 and adjusted R(2)=0.14, F(5, 1234)= 40.99, p academic achievement and the remaining sleep variables as well as the academic, well-being, and lifestyle variables lost significance in stepwise regression. Together with class attendance, night outings, and previous academic achievement, self-reported sleep quality and self-reported frequency of sufficient sleep were among the main predictors of academic performance, adding an independent and significant contribution, regardless of academic variables and lifestyles of the students.
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Moss and vascular plant indices in Ohio wetlands have similar environmental predictors
Stapanian, Martin A.; Schumacher, William; Gara, Brian; Adams, Jean V.; Viau, Nick
2016-01-01
Mosses and vascular plants have been shown to be reliable indicators of wetland habitat delineation and environmental quality. Knowledge of the best ecological predictors of the quality of wetland moss and vascular plant communities may determine if similar management practices would simultaneously enhance both populations. We used Akaike's Information Criterion to identify models predicting a moss quality assessment index (MQAI) and a vascular plant index of biological integrity based on floristic quality (VIBI-FQ) from 27 emergent and 13 forested wetlands in Ohio, USA. The set of predictors included the six metrics from a wetlands disturbance index (ORAM) and two landscape development intensity indices (LDIs). The best single predictor of MQAI and one of the predictors of VIBI-FQ was an ORAM metric that assesses habitat alteration and disturbance within the wetland, such as mowing, grazing, and agricultural practices. However, the best single predictor of VIBI-FQ was an ORAM metric that assessed wetland vascular plant communities, interspersion, and microtopography. LDIs better predicted MQAI than VIBI-FQ, suggesting that mosses may either respond more rapidly to, or recover more slowly from, anthropogenic disturbance in the surrounding landscape than vascular plants. These results supported previous predictive studies on amphibian indices and metrics and a separate vegetation index, indicating that similar wetland management practices may result in qualitatively the same ecological response for three vastly different wetland biological communities (amphibians, vascular plants, and mosses).
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Jung, Yoon Suk; Park, Dong Il; Hong, Sung Noh; Kim, Eun Ran; Kim, Young Ho; Cheon, Jae Hee; Eun, Chang Soo; Han, Dong Soo; Lee, Chang Kyun; Kim, Jae Hak; Huh, Kyu Chan; Yoon, Soon Man; Song, Hyun Joo; Shin, Jeong Eun; Jeon, Seong Ran
2015-04-01
Patients with Crohn's disease (CD) are frequently exposed to diagnostic radiation, mainly as a result of abdominopelvic computed tomography (APCT) examinations. However, there are limited data on the impact of APCT on clinical management in this population. To investigate clinical predictors of urgent findings on APCT in patients with CD who presented to the emergency department (ED). A retrospective study was performed among patients with CD presenting to 11 EDs with a gastrointestinal complaint. The primary outcome, OPAN (obstruction, perforation, abscess, or non-CD-related urgent findings), included new or worsening CD-related urgent findings or non-CD-related urgent findings that required urgent or emergency treatment. Variables with P 100 beats/min (OR 2.33, 95 % CI 1.10-4.93), leukocyte count >10,000/mm(3) (OR 4.38, 95 % CI 2.10-9.13), and CRP >2.5 mg/dL (OR 3.11, 95 % CI 1.23-7.86) were identified as the independent predictors of OPAN, whereas biologic agent use (OR 0.37; 95 % CI 0.15-0.90) was identified as the negative predictor in patients with CD. Only 39 % of the APCTs performed in the ED among patients with CD showed urgent findings. Stricturing or penetrating disease, tachycardia, leukocytosis, and high CRP level were predictors of urgent CT findings, while biologic agent use was a negative predictor. To reduce unnecessary radiation exposure, the selection process for CD patients referred for APCT must be improved.
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Early predictors of refractory status epilepticus: an international two-center study.
Sutter, R; Kaplan, P W; Marsch, S; Hammel, E M; Rüegg, S; Ziai, W C
2015-01-01
Status epilepticus (SE) refractory to first- and second-line antiepileptic drugs carries high mortality. Little is known on early prediction of refractory SE (RSE)—an essential tool for planning appropriate therapy. Our aim was to identify and validate independent early RSE predictors in adults. Clinical and laboratory data on consecutive intensive care unit patients with SE from two academic care centers (a derivation data set from a Swiss center and a validation data set from a US center) were assessed. Multivariable analysis was performed with the derivation set to identify RSE predictors at SE onset. Their external validity was evaluated with an independent validation set. Measures of calibration and discrimination were assessed. In all, 302 patients were analyzed (138 with and 164 without RSE), 171 in the derivation data set and 131 in the validation data set. Acute SE etiology, coma/stupor and serum albumin RSE in the derivation data set [odds ratio (OR) 2.02, 95% confidence interval (CI) 1.01-4.07; OR 4.83, 95% CI 2.42-9.68; OR 2.45, 95% CI 1.16-5.16]. The prediction model showed good measures of calibration (Hosmer-Lemesow goodness-of-fit test P = 0.99) and discrimination (area under the receiver operating characteristic curve 0.8) on the derivation data set—results that were similar in the validation data set (Hosmer-Lemeshow P = 0.24; area under the receiver operating characteristic curve 0.73). This study confirms the independent prognostic value of readily available parameters for early RSE prediction. Prospective studies are needed to identify additional robust predictors, which could be added to the proposed model for further optimization towards a reliable prediction scoring system. © 2014 EAN.
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Cha, YoonKyung; Cho, Kyung Hwa; Lee, Hyuk; Kang, Taegu; Kim, Joon Ha
2017-11-01
Despite a growing awareness of the problems associated with cyanobacterial blooms in rivers, and particularly in regulated rivers, the drivers of bloom formation and abundance in rivers are not well understood. We developed a Bayesian hierarchical model to assess the relative importance of predictors of summer cyanobacteria abundance, and to test whether the relative importance of each predictor varies by site, using monitoring data from 16 sites in the four major rivers of South Korea. The results suggested that temperature and residence time, but not nutrient levels, are important predictors of summer cyanobacteria abundance in rivers. Although the two predictors were of similar significance across the sites, the residence time was marginally better in accounting for the variation in cyanobacteria abundance. The model with spatial hierarchy demonstrated that temperature played a consistently significant role at all sites, and showed no effect from site-specific factors. In contrast, the importance of residence time varied significantly from site to site. This variation was shown to depend on the trophic state, indicated by the chlorophyll-a and total phosphorus levels. Our results also suggested that the magnitude of weir inflow is a key factor determining the cyanobacteria abundance under baseline conditions. Copyright © 2017 Elsevier Ltd. All rights reserved.
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Predictors of Discharge to Home after Thrombolytic Treatment in Right Hemisphere Infarct Patients
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E-I. Ruuskanen
2010-01-01
Full Text Available Background The aim of the study was to assess the association between thrombolysis and length of hospital stay after right hemisphere (RH infarct, and to identify which cognitive functions were predictive of discharge. Methods The study group consisted of 75 acute RH patients. Thirty-three patients had thrombolysis. Neuropsychologicalexaminations were performed within 11 days of stroke onset. The cognitive predictors were visual neglect, visual memory, visual search and reasoning and visuoconstructive abilities. The outcome variable was time from stroke to discharge to home. Results Thrombolysis emerged as a statistically significant predictor of discharge time in patients with moderate/severe stroke (NIHSS ≥5. In the total series of patients and in patients with mild stroke (NIHSS <5, thrombolysiswas not significantly associated with discharge time. Milder visuoconstructive defects shortened the hospital stay of the whole patient group and of patients with moderate/severe stroke. In all patient groups, independence in activitiesof daily living (ADL was a significant single predictor of a shorter hospital stay. The best combination of predictors for discharge was independence in ADL in the total series of patients and in patients with mild stroke, and thrombolysis and independence in ADL in patients with moderate/severe stroke. Conclusions Thrombolytic treatment was a significant predictor of earlier discharge to home in patients with moderate/severe RH infarct, while cognitive functions had less predictive power.
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The importance of thinking styles in predicting binge eating.
Nikčević, A V; Marino, C; Caselli, G; Spada, M M
2017-08-01
Impulsivity, Body Mass Index, negative emotions and irrational food beliefs are often reported as predictors of binge eating. In the current study we explored the role played by two thinking styles, namely food thought suppression and desire thinking, in predicting binge eating among young adults controlling for established predictors of this condition. A total of 338 university students (268 females) participated in this study by completing a battery of questionnaires measuring the study variables. Path analysis revealed that impulsivity was not associated with binge eating, that Body Mass Index and negative emotions predicted binge eating, and that irrational food beliefs only influenced binge eating via food thought suppression and desire thinking. In conclusion, thinking styles appear an important predictor of binge eating and they should be taken into consideration when developing clinical interventions for binge eating. Copyright © 2017 Elsevier Ltd. All rights reserved.
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Is parenting style a predictor of suicide attempts in a representative sample of adolescents?
2014-01-01
Background Suicidal ideation and suicide attempts are serious but not rare conditions in adolescents. However, there are several research and practical suicide-prevention initiatives that discuss the possibility of preventing serious self-harm. Profound knowledge about risk and protective factors is therefore necessary. The aim of this study is a) to clarify the role of parenting behavior and parenting styles in adolescents’ suicide attempts and b) to identify other statistically significant and clinically relevant risk and protective factors for suicide attempts in a representative sample of German adolescents. Methods In the years 2007/2008, a representative written survey of N = 44,610 students in the 9th grade of different school types in Germany was conducted. In this survey, the lifetime prevalence of suicide attempts was investigated as well as potential predictors including parenting behavior. A three-step statistical analysis was carried out: I) As basic model, the association between parenting and suicide attempts was explored via binary logistic regression controlled for age and sex. II) The predictive values of 13 additional potential risk/protective factors were analyzed with single binary logistic regression analyses for each predictor alone. Non-significant predictors were excluded in Step III. III) In a multivariate binary logistic regression analysis, all significant predictor variables from Step II and the parenting styles were included after testing for multicollinearity. Results Three parental variables showed a relevant association with suicide attempts in adolescents – (all protective): mother’s warmth and father’s warmth in childhood and mother’s control in adolescence (Step I). In the full model (Step III), Authoritative parenting (protective: OR: .79) and Rejecting-Neglecting parenting (risk: OR: 1.63) were identified as significant predictors (p < .001) for suicidal attempts. Seven further variables were interpreted to be
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Gender differences in the predictors of physical activity among assisted living residents.
Chen, Yuh-Min; Li, Yueh-Ping; Yen, Min-Ling
2015-05-01
To explore gender differences in the predictors of physical activity (PA) among assisted living residents. A cross-sectional design was adopted. A convenience sample of 304 older adults was recruited from four assisted living facilities in Taiwan. Two separate simultaneous multiple regression analyses were conducted to identify the predictors of PA for older men and women. Independent variables entered into the regression models were age, marital status, educational level, past regular exercise participation, number of chronic diseases, functional status, self-rated health, depression, and self-efficacy expectations. In older men, a junior high school or higher educational level, past regular exercise participation, better functional status, better self-rated health, and higher self-efficacy expectations predicted more PA, accounting for 61.3% of the total variance in PA. In older women, better self-rated health, lower depression, and higher self-efficacy expectations predicted more PA, accounting for 50% of the total variance in PA. Predictors of PA differed between the two genders. The results have crucial implications for developing gender-specific PA interventions. Through a clearer understanding of gender-specific predictors, healthcare providers can implement gender-sensitive PA-enhancing interventions to assist older residents in performing sufficient PA. © 2015 Sigma Theta Tau International.
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Early predictors of high school mathematics achievement.
Siegler, Robert S; Duncan, Greg J; Davis-Kean, Pamela E; Duckworth, Kathryn; Claessens, Amy; Engel, Mimi; Susperreguy, Maria Ines; Chen, Meichu
2012-07-01
Identifying the types of mathematics content knowledge that are most predictive of students' long-term learning is essential for improving both theories of mathematical development and mathematics education. To identify these types of knowledge, we examined long-term predictors of high school students' knowledge of algebra and overall mathematics achievement. Analyses of large, nationally representative, longitudinal data sets from the United States and the United Kingdom revealed that elementary school students' knowledge of fractions and of division uniquely predicts those students' knowledge of algebra and overall mathematics achievement in high school, 5 or 6 years later, even after statistically controlling for other types of mathematical knowledge, general intellectual ability, working memory, and family income and education. Implications of these findings for understanding and improving mathematics learning are discussed.
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Psycho-cognitive predictors of burnout in healthcare professionals working in emergency departments.
Masiero, Marianna; Cutica, Ilaria; Russo, Selena; Mazzocco, Ketti; Pravettoni, Gabriella
2018-07-01
Healthcare professionals working in emergency departments commonly experience high work pressure and stress due to witnessing human suffering and the unpredictable nature of the work. Several studies have identified variables that affect burnout syndrome, but poor data are available about the predictors of the different dimensions of burnout (depersonalisation, emotional exhaustion, professional inefficacy and disillusionment). Some research has suggested that alexithymia, coping style and decision-making style may predict burnout. We conducted a noninterventional study to investigate whether and how alexithymia, coping style and decision-making style are associated with the different dimensions of burnout. We recruited a convenience sample of 93 healthcare professionals working in an Italian emergency departments. Participants completed a questionnaire assessing their level of burnout (the Link Burnout Questionnaire), and possible burnout predictors: decision-making style, alexithymia and the coping style. Four bivariate linear regressions were performed to define the predictors that characterised the dimensions of burnout. We found that an avoidant decision-making style and a difficulty to identify and describe feelings (a difficulty close to alexithymia even though not as severe) are strong predictors of some burnout dimensions. Individuals who experience relational depersonalisation are more likely to turn to religion as a way to cope. Our research shows that, to some extent, difficulties in emotion regulation and the attitude to avoid or postpone decisions characterised burnout. These results might be used to develop tailored psycho-educational interventions. This might help healthcare professionals to develop personal skills to cope with the critical conditions that characterise their work and to enable them to recognise potential risk factors that favour burnout. This has pivotal implications for the maintenance of the patient-healthcare professional
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Asdaghi, Negar; Wang, Kefeng; Ciliberti-Vargas, Maria A; Gutierrez, Carolina Marinovic; Koch, Sebastian; Gardener, Hannah; Dong, Chuanhui; Rose, David Z; Garcia, Enid J; Burgin, W Scott; Zevallos, Juan Carlos; Rundek, Tatjana; Sacco, Ralph L; Romano, Jose G
2018-03-01
Mild stroke is the most common cause for thrombolysis exclusion in patients acutely presenting to the hospital. Thrombolysis administration in this subgroup is highly variable among different clinicians and institutions. We aim to study the predictors of thrombolysis in patients with mild ischemic stroke in the FL-PR CReSD registry (Florida-Puerto Rico Collaboration to Reduce Stroke Disparities). Among 73 712 prospectively enrolled patients with a final diagnosis of ischemic stroke or TIA from January 2010 to April 2015, we identified 7746 cases with persistent neurological symptoms and National Institutes of Health Stroke Scale ≤5 who arrived within 4 hours of symptom onset. Multilevel logistic regression analysis with generalized estimating equations was used to identify independent predictors of thrombolytic administration in the subgroup of patients without contraindications to thrombolysis. We included 6826 cases (final diagnosis mild stroke, 74.6% and TIA, 25.4%). Median age was 72 (interquartile range, 21); 52.7% men, 70.3% white, 12.9% black, 16.8% Hispanic; and median National Institutes of Health Stroke Scale, 2 (interquartile range, 3). Patients who received thrombolysis (n=1281, 18.7%) were younger (68 versus 72 years), had less vascular risk factors (hypertension, diabetes mellitus, and dyslipidemia), had lower risk of prior vascular disease (myocardial infarction, peripheral vascular disease, and previous stroke), and had a higher presenting median National Institutes of Health Stroke Scale (4 versus 2). In the multilevel multivariable model, early hospital arrival (arrive by 0-2 hours versus ≥3.5 hours; odds ratio [OR], 8.16; 95% confidence interval [CI], 4.76-13.98), higher National Institutes of Health Stroke Scale (OR, 1.87; 95% CI, 1.77-1.98), aphasia at presentation (OR, 1.35; 95% CI, 1.12-1.62), faster door-to-computed tomography time (OR, 1.81; 95% CI, 1.53-2.15), and presenting to an academic hospital (OR, 2.02; 95% CI, 1.39-2.95) were
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López-Roig, Sofía; Pastor, María-Ángeles; Peñacoba, Cecilia; Lledó, Ana; Sanz, Yolanda; Velasco, Lilian
2016-08-01
Physical exercise is recognized as a component of the evidence-based guidelines for treatment of fibromyalgia. Walking is a low-moderate intensity exercise easily adaptable to a fibromyalgia patient's situation. The present study aims to estimate the prevalence of unsupervised walking for exercise in women with fibromyalgia, to describe their level of physical activity and to identify their predictors among socio-demographic, symptom perception and medical advice to walk. A cross-sectional survey with 920 women (all members of fibromyalgia associations) completed the International Physical Activity Questionnaire-Short Form and self-reported scales to assess symptom perception, walking, medical advice to walk and physical comorbidity. The prevalence of reported walking regularly as physical exercise was 30.8 % and it was predicted by medical advice (odds ratio, OR 1.876), age (OR 1.021) and fatigue intensity (OR 0.912). The prevalence of physical activity was 16 % for high-intensity activity, 40 % for moderate activity and 44 % for low activity. Predictors of low versus moderate and high physical activity were pain intensity (OR 1.171) and fatigue impact perception (OR 1.076). Evidence shows a low percentage of women with fibromyalgia walking regularly for physical exercise. Most reported low or moderate physical activity. The results indicate the importance of doctors' advice in promoting walking. Symptom perception and socio-demographic characteristics were weak predictors. Further work is required to examine other determinants of these low levels.
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Kroemeke, Aleksandra; Bargiel-Matusiewicz, Kamilla; Kalamarz, Magdalena
2017-01-01
Objectives: Post-traumatic growth (PTG) and its opposite-post-traumatic depreciation (PTD)-may be treated as important indicators of the patient quality of life. In the absence of studies on both, PTG and PTD in cancer patients, we investigated (1) coping strategies and support effectiveness as predictors of PTG and PTD in post-mastectomy women, (2) homogeneous classes with different intensity of PTG and PTD symptoms, and (3) correlates of class membership. Methods: Coping strategies (Brief COPE), support effectiveness (SSE-Q), PTG (PTGI), and PTD (negatively reworded items of PTGI) were measured in 84 post-mastectomy women (mean age = 62.27, SD = 8.38). Multiple regression, two-step cluster, and multinomial logistic regression were applied. Results: PTG and PTD had unique predictors: time since diagnosis and positive emotion-focused coping predicted PTG ( R 2 = 0.24), while negative emotion-focused and avoidance-focused coping and low support effectiveness were linked to PTD ( R 2 = 0.14). Four groups of PTG × PTD symptoms were identified: high PTG low PTD group (52.4%), low PTG low PTD group (17.9%), high PTG high PTD group (15.5%), and low PTG high PTD group (14.3%). Higher emotion- and avoidance-focused coping was characteristic for the high PTD low PTG group ( R 2 = 0.41). Conclusion: Our findings shed light on the coexistence and unique predictors of PTG and PTD after mastectomy, indicating heterogeneity in PTG and PTD levels among post-mastectomy women.
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Directory of Open Access Journals (Sweden)
Bertule D.
2016-01-01
Full Text Available An understanding of predictors of family needs for the families of preschool children with cerebral palsy (CP is important for provision of efficient and cost-effective services. The aim of this study was to identify the characteristics of children, families and services that are risk factors to meeting family needs for community and financial resources. 234 parents of pre-school children with CP completed a modified version of the Family Needs Survey (FNS, the Measure of Processes of Care (MPOC-20, and a demographic questionnaire. The gross motor function level and communication function level of children were classified on the basis of the Gross Motor Function Classification System (GMFCS and the Communication Function Classification System (CFCS respectively. Two hierarchical multiple regression models were generated to determine the predictors of unmet family needs. The socialisation and communication skills of children, as well as caregiver employment and family income levels were significant predictors of family needs for community resources (adjusted R2=0.44. Significant risk factors in terms of family needs for financial resources included the child's gross motor limitations, caregiver employment, low levels of family income and no ability to receive services on the basis of enabling and partnership principles (adjusted R2=0.51. A child's limitations in terms of communication, gross motor functions and socialisation, as well as the socioeconomic status of the child's family, must be taken into account when planning services for families with preschool children with CP.
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Xie, Dongwei; Dai, Zhigang; Yang, Zemao; Sun, Jian; Zhao, Debao; Yang, Xue; Zhang, Liguo; Tang, Qing; Su, Jianguang
2017-01-01
Flax ( Linum usitatissimum L.) is an important cash crop, and its agronomic traits directly affect yield and quality. Molecular studies on flax remain inadequate because relatively few flax genes have been associated with agronomic traits or have been identified as having potential applications. To identify markers and candidate genes that can potentially be used for genetic improvement of crucial agronomic traits, we examined 224 specimens of core flax germplasm; specifically, phenotypic data for key traits, including plant height, technical length, number of branches, number of fruits, and 1000-grain weight were investigated under three environmental conditions before specific-locus amplified fragment sequencing (SLAF-seq) was employed to perform a genome-wide association study (GWAS) for these five agronomic traits. Subsequently, the results were used to screen single nucleotide polymorphism (SNP) loci and candidate genes that exhibited a significant correlation with the important agronomic traits. Our analyses identified a total of 42 SNP loci that showed significant correlations with the five important agronomic flax traits. Next, candidate genes were screened in the 10 kb zone of each of the 42 SNP loci. These SNP loci were then analyzed by a more stringent screening via co-identification using both a general linear model (GLM) and a mixed linear model (MLM) as well as co-occurrences in at least two of the three environments, whereby 15 final candidate genes were obtained. Based on these results, we determined that UGT and PL are candidate genes for plant height, GRAS and XTH are candidate genes for the number of branches, Contig1437 and LU0019C12 are candidate genes for the number of fruits, and PHO1 is a candidate gene for the 1000-seed weight. We propose that the identified SNP loci and corresponding candidate genes might serve as a biological basis for improving crucial agronomic flax traits.
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Directory of Open Access Journals (Sweden)
Dongwei Xie
2018-01-01
Full Text Available Flax (Linum usitatissimum L. is an important cash crop, and its agronomic traits directly affect yield and quality. Molecular studies on flax remain inadequate because relatively few flax genes have been associated with agronomic traits or have been identified as having potential applications. To identify markers and candidate genes that can potentially be used for genetic improvement of crucial agronomic traits, we examined 224 specimens of core flax germplasm; specifically, phenotypic data for key traits, including plant height, technical length, number of branches, number of fruits, and 1000-grain weight were investigated under three environmental conditions before specific-locus amplified fragment sequencing (SLAF-seq was employed to perform a genome-wide association study (GWAS for these five agronomic traits. Subsequently, the results were used to screen single nucleotide polymorphism (SNP loci and candidate genes that exhibited a significant correlation with the important agronomic traits. Our analyses identified a total of 42 SNP loci that showed significant correlations with the five important agronomic flax traits. Next, candidate genes were screened in the 10 kb zone of each of the 42 SNP loci. These SNP loci were then analyzed by a more stringent screening via co-identification using both a general linear model (GLM and a mixed linear model (MLM as well as co-occurrences in at least two of the three environments, whereby 15 final candidate genes were obtained. Based on these results, we determined that UGT and PL are candidate genes for plant height, GRAS and XTH are candidate genes for the number of branches, Contig1437 and LU0019C12 are candidate genes for the number of fruits, and PHO1 is a candidate gene for the 1000-seed weight. We propose that the identified SNP loci and corresponding candidate genes might serve as a biological basis for improving crucial agronomic flax traits.
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Clinical predictors of central sleep apnea evoked by positive airway pressure titration
Directory of Open Access Journals (Sweden)
Moro M
2016-07-01
Full Text Available Marilyn Moro,1 Karen Gannon,1 Kathy Lovell,1 Margaret Merlino,1 James Mojica,2 Matt T Bianchi,1,3 1Neurology Department, 2Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA; 3Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA Purpose: Treatment-emergent central sleep apnea (TECSA, also called complex apnea, occurs in 5%–15% of sleep apnea patients during positive airway pressure (PAP therapy, but the clinical predictors are not well understood. The goal of this study was to explore possible predictors in a clinical sleep laboratory cohort, which may highlight those at risk during clinical management.Methods: We retrospectively analyzed 728 patients who underwent PAP titration (n=422 split night; n=306 two-night. Demographics and self-reported medical comorbidities, medications, and behaviors as well as standard physiological parameters from the polysomnography (PSG data were analyzed. We used regression analysis to assess predictors of binary presence or absence of central apnea index (CAI ≥5 during split PSG (SN-PSG versus full-night PSG (FN-PSG titrations.Results: CAI ≥5 was present in 24.2% of SN-PSG and 11.4% of FN-PSG patients during titration. Male sex, maximum continuous positive airway pressure, and use of bilevel positive airway pressure were predictors of TECSA, and rapid eye movement dominance was a negative predictor, for both SN-PSG and FN-PSG patients. Self-reported narcotics were a positive predictor of TECSA, and the time spent in stage N2 sleep was a negative predictor only for SN-PSG patients. Self-reported history of stroke and the CAI during the diagnostic recording predicted TECSA only for FN-PSG patients.Conclusion: Clinical predictors of treatment-evoked central apnea spanned demographic, medical history, sleep physiology, and titration factors. Improved predictive models may be increasingly important as diagnostic and therapeutic modalities move away from the
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Distal and proximal predictors of snacking at work: A daily-survey study.
Sonnentag, Sabine; Pundt, Alexander; Venz, Laura
2017-02-01
This study aimed at examining predictors of healthy and unhealthy snacking at work. As proximal predictors we looked at food-choice motives (health motive, affect-regulation motive); as distal predictors we included organizational eating climate, emotional eating, and self-control demands at work. We collected daily survey data from 247 employees, over a period of 2 workweeks. Multilevel structural equation modeling showed that organizational eating climate predicted health as food-choice motive, whereas emotional eating and self-control demands predicted affect regulation as food-choice motive. The health motive, in turn, predicted consuming more fruits and more cereal bars and less sweet snacks; the affect-regulation motive predicted consuming more sweet snacks. Findings highlight the importance of a health-promoting eating climate within the organization and point to the potential harm of high self-control demands at work. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
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Feeling well and talking about sex: psycho-social predictors of sexual functioning after cancer
2014-01-01
Background Changes to sexual wellbeing are acknowledged to be a long-term negative consequence of cancer and cancer treatment. These changes can have a negative effect on psychological well-being, quality of life and couple relationships. Whilst previous conclusions are based on univariate analysis, multivariate research can facilitate examination of the complex interaction between sexual function and psycho-social variables such as psychological wellbeing, quality of life, and relationship satisfaction and communication in the context of cancer, the aim of the present study. Method Six hundred and fifty seven people with cancer (535 women, 122 men) and 148 partners (87 women, 61 men), across a range of sexual and non-sexual cancers, completed a survey consisting of standardized measures of sexual functioning, depression and anxiety, quality of life, relationship satisfaction, dyadic sexual communication, and self-silencing, as well as ratings of the importance of sex to life and relationships. Results Men and women participants, reported reductions in sexual functioning after cancer across cancer type, for both people with cancer and partners. Multiple regression analysis examined psycho-social predictors of sexual functioning. Physical quality of life was a predictor for men and women with cancer, and for male partners. Dyadic sexual communication was a predictor for women with cancer, and for men and women partners. Mental quality of life and depression were also predictors for women with cancer, and the lower self-sacrifice subscale of self-silencing a predictor for men with cancer. Conclusion These results suggest that information and supportive interventions developed to alleviate sexual difficulties and facilitate sexual renegotiation should be offered to men and women with both sexual and non-sexual cancers, rather than primarily focused on individuals with sexual and reproductive cancers, as is the case currently. It is also important to include partners
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Staffieri, Sandra E; Kearns, Lisa S; Sanfilippo, Paul G; Craig, Jamie E; Mackey, David A; Hewitt, Alex W
2018-02-01
Leukocoria is the most common presenting sign for pediatric eye disease including retinoblastoma and cataract, with worse outcomes if diagnosis is delayed. We investigated whether individuals could identify leukocoria in photographs (photoleukocoria) and examined their subsequent Internet search behavior. Using a web-based questionnaire, in this cross-sectional study we invited adults aged over 18 years to view two photographs of a child with photoleukocoria, and then search the Internet to determine a possible diagnosis and action plan. The most commonly used search terms and websites accessed were recorded. The questionnaire was completed by 1639 individuals. Facebook advertisement was the most effective recruitment strategy. The mean age of all respondents was 38.95 ± 14.59 years (range, 18-83), 94% were female, and 59.3% had children. An abnormality in the images presented was identified by 1613 (98.4%) participants. The most commonly used search terms were: "white," "pupil," "photo," and "eye" reaching a variety of appropriate websites or links to print or social media articles. Different words or phrases were used to describe the same observation of photoleukocoria leading to a range of websites. Variations in the description of observed signs and search words influenced the sites reached, information obtained, and subsequent help-seeking intentions. Identifying the most commonly used search terms for photoleukocoria is an important step for search engine optimization. Being directed to the most appropriate websites informing of the significance of photoleukocoria and the appropriate actions to take could improve delays in diagnosis of important pediatric eye disease such as retinoblastoma or cataract.
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What Good Predictors of Marijuana Use Are Good For: A Synthesis of Research.
Derzon, James H.; Lipsey, Mark W.
1999-01-01
Analyzes correlates of marijuana use based on 3,690 effect sizes coded from 86 prospective longitudinal studies. Summarizes findings on strength of relationships for categorizing predictor variables, and implications of these relationships. Findings are relevant for intervention programmers and policymakers since they identify characteristics of…
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Court Compliance as a Predictor of Postadjudication Recidivism for Domestic Violence Offenders
Kindness, Alana; Kim, Han; Alder, Stephen; Edwards, Alison; Parekh, Asha; rOlson, Lenora M.
2009-01-01
This study evaluated pre- and postadjudication behavior of 220 male defendants convicted of a domestic violence-related offense using court records and police department data. Our goal was the identification of possible predictors for continued criminal behavior that could pose a risk of further harm to victims. Factors identified as significant…
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Ormel, H L; van der Schoot, G G F; Sluiter, W J; Jalving, M; Gietema, J A; Walenkamp, A M E
Objective: Exercise interventions benefit cancer patients. However, only low numbers of patients adhere to these interventions. This review aimed to identify predictors of exercise intervention adherence in patients with cancer, during and after multimodality cancer treatment. Methods: A literature
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Predictors of persistent pain after total knee arthroplasty: a systematic review and meta-analysis.
Lewis, G N; Rice, D A; McNair, P J; Kluger, M
2015-04-01
Several studies have identified clinical, psychosocial, patient characteristic, and perioperative variables that are associated with persistent postsurgical pain; however, the relative effect of these variables has yet to be quantified. The aim of the study was to provide a systematic review and meta-analysis of predictor variables associated with persistent pain after total knee arthroplasty (TKA). Included studies were required to measure predictor variables prior to or at the time of surgery, include a pain outcome measure at least 3 months post-TKA, and include a statistical analysis of the effect of the predictor variable(s) on the outcome measure. Counts were undertaken of the number of times each predictor was analysed and the number of times it was found to have a significant relationship with persistent pain. Separate meta-analyses were performed to determine the effect size of each predictor on persistent pain. Outcomes from studies implementing uni- and multivariable statistical models were analysed separately. Thirty-two studies involving almost 30 000 patients were included in the review. Preoperative pain was the predictor that most commonly demonstrated a significant relationship with persistent pain across uni- and multivariable analyses. In the meta-analyses of data from univariate models, the largest effect sizes were found for: other pain sites, catastrophizing, and depression. For data from multivariate models, significant effects were evident for: catastrophizing, preoperative pain, mental health, and comorbidities. Catastrophizing, mental health, preoperative knee pain, and pain at other sites are the strongest independent predictors of persistent pain after TKA. © The Author 2014. Published by Oxford University Press on behalf of the British Journal of Anaesthesia. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
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Results of the JET real-time disruption predictor in the ITER-like wall campaigns
International Nuclear Information System (INIS)
Vega, Jesús; Dormido-Canto, Sebastián; López, Juan M.; Murari, Andrea; Ramírez, Jesús M.; Moreno, Raúl; Ruiz, Mariano; Alves, Diogo; Felton, Robert
2013-01-01
Highlights: •JET real-time disruption predictor with metallic wall 991 discharges analyzed. •Predictor training has been carried out with JET C wall data. •Success, false alarm and missed alarm rates are 98.4%, 0.9% and 1.6%, respectively. •Alarms are triggered in average 426 ms before the disruption. -- Abstract: The impact of disruptions in JET became even more important with the replacement of the previous Carbon Fiber Composite (CFC) wall with a more fragile full metal ITER-like wall (ILW). The development of robust disruption mitigation systems is crucial for JET (and also for ITER). Moreover, a reliable real-time (RT) disruption predictor is a pre-requisite to any mitigation method. The Advance Predictor Of DISruptions (APODIS) has been installed in the JET Real-Time Data Network (RTDN) for the RT recognition of disruptions. The predictor operates with the new ILW but it has been trained only with discharges belonging to campaigns with the CFC wall. 7 real-time signals are used to characterize the plasma status (disruptive or non-disruptive) at regular intervals of 32 ms. After the first 3 JET ILW campaigns (991 discharges), the success rate of the predictor is 98.36% (alarms are triggered in average 426 ms before the disruptions). The false alarm and missed alarm rates are 0.92% and 1.64%
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Results of the JET real-time disruption predictor in the ITER-like wall campaigns
Energy Technology Data Exchange (ETDEWEB)
Vega, Jesús, E-mail: jesus.vega@ciemat.es [Asociación EURATOM/CIEMAT para Fusión, Madrid (Spain); Dormido-Canto, Sebastián [Universidad Nacional de Educación a Distancia (UNED), Madrid (Spain); López, Juan M. [Universidad Politécnica de Madrid, CAEND UPM-CSIC, Madrid (Spain); Murari, Andrea [Consorzio RFX, Associazione EURATOM/ENEA per la Fusione, Padua (Italy); Ramírez, Jesús M. [Universidad Nacional de Educación a Distancia (UNED), Madrid (Spain); Moreno, Raúl [Asociación EURATOM/CIEMAT para Fusión, Madrid (Spain); Ruiz, Mariano [Universidad Politécnica de Madrid, CAEND UPM-CSIC, Madrid (Spain); Alves, Diogo [Associação EURATOM/IST, Instituto de Plasmas e Fusão Nuclear – Laboratório Associado, Instituto Superior Técnico, P-1049-001 Lisboa (Portugal); Felton, Robert [EURATOM/CCFE Fusion Association, Culham Science Center, Abingdon, Oxon OX14 3DB (United Kingdom)
2013-10-15
Highlights: •JET real-time disruption predictor with metallic wall 991 discharges analyzed. •Predictor training has been carried out with JET C wall data. •Success, false alarm and missed alarm rates are 98.4%, 0.9% and 1.6%, respectively. •Alarms are triggered in average 426 ms before the disruption. -- Abstract: The impact of disruptions in JET became even more important with the replacement of the previous Carbon Fiber Composite (CFC) wall with a more fragile full metal ITER-like wall (ILW). The development of robust disruption mitigation systems is crucial for JET (and also for ITER). Moreover, a reliable real-time (RT) disruption predictor is a pre-requisite to any mitigation method. The Advance Predictor Of DISruptions (APODIS) has been installed in the JET Real-Time Data Network (RTDN) for the RT recognition of disruptions. The predictor operates with the new ILW but it has been trained only with discharges belonging to campaigns with the CFC wall. 7 real-time signals are used to characterize the plasma status (disruptive or non-disruptive) at regular intervals of 32 ms. After the first 3 JET ILW campaigns (991 discharges), the success rate of the predictor is 98.36% (alarms are triggered in average 426 ms before the disruptions). The false alarm and missed alarm rates are 0.92% and 1.64%.
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van der Naalt, Joukje; Timmerman, Marieke E; de Koning, Myrthe E; van der Horn, Harm J; Scheenen, Myrthe E; Jacobs, Bram; Hageman, Gerard; Yilmaz, Tansel; Roks, Gerwin; Spikman, Jacoba M
2017-07-01
date for 6-month follow-up was July 6, 2015. Of these patients, 764 (84%) had post-traumatic complaints and 414 (45%) showed emotional distress. At 6 months after injury, outcome data were available for 671 patients; complete recovery (GOSE=8) was observed in 373 (56%) patients and incomplete recovery (GOSE ≤7) in 298 (44%) patients. Logistic regression analyses identified several predictors for 6-month outcome, including education and age, with a clear surplus value of indicators of emotional distress and coping obtained at 2 weeks (area under the curve [AUC]=0·79, optimism 0·02; Nagelkerke R 2 =0·32, optimism 0·05) than only emergency department predictors at the time of admission (AUC=0·72, optimism 0·03; Nagelkerke R 2 =0·19, optimism 0·05). Psychological factors (ie, emotional distress and maladaptive coping experienced early after injury) in combination with pre-injury mental health problems, education, and age are important predictors for recovery at 6 months following mTBI. These findings provide targets for early interventions to improve outcome in a subgroup of patients at risk of incomplete recovery from mTBI, and warrant validation. Dutch Brain Foundation. Copyright © 2017 Elsevier Ltd. All rights reserved.
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Modelling of diffuse solar fraction with multiple predictors
Energy Technology Data Exchange (ETDEWEB)
Ridley, Barbara; Boland, John [Centre for Industrial and Applied Mathematics, University of South Australia, Mawson Lakes Boulevard, Mawson Lakes, SA 5095 (Australia); Lauret, Philippe [Laboratoire de Physique du Batiment et des Systemes, University of La Reunion, Reunion (France)
2010-02-15
For some locations both global and diffuse solar radiation are measured. However, for many locations, only global radiation is measured, or inferred from satellite data. For modelling solar energy applications, the amount of radiation on a tilted surface is needed. Since only the direct component on a tilted surface can be calculated from direct on some other plane using trigonometry, we need to have diffuse radiation on the horizontal plane available. There are regression relationships for estimating the diffuse on a tilted surface from diffuse on the horizontal. Models for estimating the diffuse on the horizontal from horizontal global that have been developed in Europe or North America have proved to be inadequate for Australia. Boland et al. developed a validated model for Australian conditions. Boland et al. detailed our recent advances in developing the theoretical framework for the use of the logistic function instead of piecewise linear or simple nonlinear functions and was the first step in identifying the means for developing a generic model for estimating diffuse from global and other predictors. We have developed a multiple predictor model, which is much simpler than previous models, and uses hourly clearness index, daily clearness index, solar altitude, apparent solar time and a measure of persistence of global radiation level as predictors. This model performs marginally better than currently used models for locations in the Northern Hemisphere and substantially better for Southern Hemisphere locations. We suggest it can be used as a universal model. (author)
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van de Ven, Hardy A; Klein Hesselink, John; Bültmann, Ute; de Boer, Michiel R; de Looze, Michiel P; van der Klink, Jac J L; Brouwer, Sandra
2014-05-01
The aim of this study was to examine which individual and work-related characteristics predict work outcomes related to sustainable employment among male shift and day workers. Between 1 September 2005 and 31 December 2009, data on individual and work-related characteristics of N=5640 employees of Tata Steel in the Netherlands were retrieved from the Occupational Health Service and company registers. Work outcomes related to sustainable employment were (i) temporarily being placed in less strenuous work, (ii) sickness absence ≥6 weeks, and (iii) leaving the organization. Cox proportional hazard analyses were performed for all outcome measures. Similar predictors were found for shift and day workers although some differences were observed. For shift workers, high blood pressure and cardiovascular disease were important predictors for sickness absence. For day workers, insomnia was an important predictor of sickness absence ≥6 weeks. Similar predictors in magnitude and direction were found for work outcomes related to sustainable employment among shift and day workers. Interventions aimed at enhancing sustainable employability should focus on individual and work-related characteristics.
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Predictors of Smoking Reduction and Cessation in a Cohort of Danish Moderate and Heavy Smokers
DEFF Research Database (Denmark)
Godtfredsen, Nina; Prescott, E.; Osler, Merete
2001-01-01
daily tobacco consumption of 10 g or more. Using multivariate logistic regression, subjects who reported reduced smoking or who reported smoking cessation were compared with subjects who continued the habit unchanged. RESULTS: After 5 years 13% of the men and 9% of the women had reduced their tobacco...... function and a tobacco consumption of 15-24 g/day. Additional determinants of smoking reduction and cessation such as inhalation habits and sociodemographic variables differed by gender. CONCLUSIONS: Several predictors of smoking reduction and cessation were identified, indicating that these subgroups......BACKGROUND: The aim of this study was to examine the extent and gender distribution of unassisted tobacco reduction and cessation in a cohort of moderate and heavy smokers and to identify possible predictor variables associated with these changes in smoking behavior. METHODS: This was a prospective...
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Trdatian, N A
2009-01-01
This controlled study involving 99 patients with chronic somatic diseases (CSD) had the objective to identify psychological predictors of the efficiency of a new method of psychotherapy, namely autogenous melodeclamation training (AMDT). Dynamics of the psychological status of the patients in the course of therapy was assessed using SMOL test, Spilberger STAI test, overall health-physical activity-mood test, and Beck depression inventory. It was shown that moderately compromised psychological adaptation and minor depressive disorders were the most reliable predictors of marked improvement of the patients' psychological status under effect of autogenous melodeclamation training included in the combined rehabilitative therapy of chronic somatic diseases.
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Wolbers, Marcel; Quang, Vo Minh; Chinh, Nguyen Tran; Huong Lan, Nguyen Phu; Lam, Pham Si; Kozal, Michael J.; Shikuma, Cecilia M.; Day, Jeremy N.; Farrar, Jeremy
2011-01-01
Background. Penicillium marneffei is an important human immunodeficiency virus (HIV)–associated opportunistic pathogen in Southeast Asia. The epidemiology and the predictors of penicilliosis outcome are poorly understood. Methods. We performed a retrospective study of culture-confirmed incident penicilliosis admissions during 1996–2009 at the Hospital for Tropical Diseases in Ho Chi Minh City, Viet Nam. Seasonality of penicilliosis was assessed using cosinor models. Logistic regression was used to assess predictors of death or worsening disease based on 10 predefined covariates, and Cox regression was performed to model time-to-antifungal initiation. Results. A total of 795 patients were identified; hospital charts were obtainable for 513 patients (65%). Cases increased exponentially and peaked in 2007 (156 cases), mirroring the trends in AIDS admissions during the study period. A highly significant seasonality for penicilliosis (P Viet nam. The number of cases increases during rainy months. Injection drug use, shorter history, absence of fever or skin lesions, respiratory difficulty, higher lymphocyte count, and lower platelet count predict poor in-hospital outcome. PMID:21427403
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A study into psychosocial factors as predictors of work-related fatigue.
Rahman, Hanif Abdul; Abdul-Mumin, Khadizah; Naing, Lin
2016-07-14
To explore and determine relationship between psychosocial factors and work-related fatigue among emergency and critical care nurses in Brunei. Cross-sectional study conducted on all emergency and critical care nurses across Brunei public hospitals from February to April 2016. 201 nurses participated in the study (82% response rate). A total of 36% of the variance of chronic fatigue was explained by stress, trust in management, decision latitude, self-rated health, and work-family conflict. Burnout, self-rated health, commitment to workplace, and trust in management explained 30% of the variance of acute fatigue. Stress, work-family conflict and reward explained 28% of the variance of intershift recovery after controlling for significant sociodemographic variables. Smoking was identified as an important sociodemographic factor for work-related fatigue. Psychosocial factors were good predictors of work-related fatigue. A range of psychosocial factors were established, however more research is required to determine all possible causation factors of nurses' work-related fatigue.
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Predictors of length of stay in a ward for demented elderly: gender differences.
Ono, Toshiyuki; Tamai, Akira; Takeuchi, Daisuke; Tamai, Yuzuru; Iseki, Hidenori; Fukushima, Hiromi; Kasahara, Sumie
2010-09-01
In our previous studies, we found both gender differences among care recipients and predictors that influenced outcomes after discharge from a ward for demented elderly. Here, we investigate predictors that influence the length of stay for each sex. We studied the data of 390 patients with dementia who were hospitalized in a ward for demented elderly between 1 April 2000 and 31 March 2008, and treated until 31 March 2009. The patients were divided into groups classified by gender. We analyzed the gender differences of characteristics and evaluated the predictors that influenced the length of stay in the ward for demented elderly using Cox's proportional hazards model. A model using the initial scores of the Revised Hasegawa Dementia Scale (HDS-R), Assessment Scale for Symptoms of Dementia (ASSD) and Nishimura's activity of daily living scale (N-ADL), which were examined on admission, was named Model 1. In Model 1, we checked the effect of each patient's characteristics, except for complications and destinations, on their length of stay. Model 2 used the final scores of HDS-R, ASSD and N-ADL including complications and destinations. There was a clear gender difference in the length of stay. The length of stay of women was longer than that of men. It was difficult to predict the length of stay in Model 1. Age was the only predictor in women and no predictor was identified in men. In Model 2, complications and the final HDS-R and N-ADL scores were predictors of the length of stay in men. Age, complications and destinations were predictors of the length of stay in women. It was observed that there were gender differences among predictors of the length of stay. However, it was difficult to predict the length of stay on admission. Retrospectively, the length of stay was determined by physical and psychological conditions, not by the social variables in men. In women, it was supposed that the caregiver's wish to give care at home reduced the length of stay. Besides
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M. Droomers (Mariël); C.Th.M. Schrijvers (Carola); J.P. Mackenbach (Johan)
2001-01-01
textabstractSTUDY OBJECTIVE: This study describes educational differences in decreases in leisure time physical activity among an adult, physically active population and additionally attempts to identify predictors of these differences from information on health status
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van Leeuwen, Christel M.; Post, Marcel W.; Hoekstra, Trynke; van der Woude, Lucas H.; de Groot, Sonja; Snoek, Govert J.; Mulder, Dineke G.; Lindeman, Eline
Objective: To identify different life satisfaction trajectories in the period between the start of active spinal cord injury (SCI) rehabilitation and 5 years after discharge, and to find predictors for distinguishing between trajectories. The hypotheses were that different life satisfaction
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Truck drivers' traffic accidents in the State of São Paulo: prevalence and predictors.
Oliveira, Lucio Garcia de; Almeida, Carlos Vinícius Dias de; Barroso, Lucia Pereira; Gouvea, Marcela Julio Cesar; Muñoz, Daniel Romero; Leyton, Vilma
2016-12-01
Abstract The mortality rate of traffic accidents (TA) is high in Brazil. Trucks are the second category of motor vehicles most often involved in TA. However, few studies have addressed the issue of TA among these professionals. The study aimed to estimate the prevalence of TA and their predictors in a sample of 684 truck drivers recruited in the state of São Paulo during 2012 and 2013. We requested participants to answer a research instrument on their personal and occupational data and their involvement in TA and traffic violations. A logistic regression model was developed to identify TA predictors. Almost 11% of the respondents suffered at least one TA in that timeframe. We identified the following TA predictors: having few years of experience as professional drivers (OR = 1.86; CI 95% = 1.05-3.38; p = 0.036); receiving some traffic tickets (OR = 1.91; CI 95% = 1.04-3.66; p = 0.043) and working more than 12 hours daily (OR = 1.84; CI 95% = 1.04-3.24; p = 0.034). Given those results, we suggest the development of a joint action among all the involved social stakeholders in order to negotiate truck drivers' work organization aiming at reducing behaviors that may lead to traffic accidents.
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Predictors of red blood cell transfusion after cardiac surgery: a prospective cohort study
Directory of Open Access Journals (Sweden)
Camila Takao Lopes
2015-12-01
Full Text Available Abstract OBJECTIVE To identify predictors of red blood cell transfusion (RBCT after cardiac surgery. METHOD A prospective cohort study performed with 323 adults after cardiac surgery, from April to December of 2013. A data collection instrument was constructed by the researchers containing factors associated with excessive bleeding after cardiac surgery, as found in the literature, for investigation in the immediate postoperative period. The relationship between risk factors and the outcome was assessed by univariate analysis and logistic regression. RESULTS The factors associated with RBCT in the immediate postoperative period included lower height and weight, decreased platelet count, lower hemoglobin level, higher prevalence of platelet count <150x10 3/mm3, lower volume of protamine, longer duration of anesthesia, higher prevalence of intraoperative RBCT, lower body temperature, higher heart rate and higher positive end-expiratory pressure. The independent predictor was weight <66.5Kg. CONCLUSION Factors associated with RBCT in the immediate postoperative period of cardiac surgery were found. The independent predictor was weight.
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Surmann, Marian; Gruchalla, Lara von; Falke, Sebastian; Maisch, Birgit; Uhlmann, Christina; Bock, Eva; Arolt, Volker; Lencer, Rebekka
2017-09-01
Different aspects of self-stigmatization represent barriers for recovery in patients with psychosis disorders. It is unclear whether addressing patient's competence and control beliefs could attenuate the extent of self-stigmatization. The major aim of this study was to identify predictors of self-stigmatization derived from competence and control beliefs in patients (N = 80). Sociodemographic characteristics, clinical variables, competence and control beliefs and self-stigmatization were assessed among 80 patients with psychosis disorders. The cross-sectional data was analyzed by correlation and regression analyses. Results indicate deficits in self-concept of own competences, i.e. the capability of acting in new, difficult or ambiguous situations, resulting in also impaired self-efficacy and relatively increased externality in patients compared to a general population sample. Subjective well-being under neuroleptics, trait-anxiety and defining oneself as religious were the most influential predictors of competence and control beliefs. A weaker self-concept of own competences was also revealed as the strongest predictor of overall high self-stigmatization. Our results stress the importance of orienting treatment strategies towards strengthening the self-concept of own competences in patients in order to reduce self-stigmatization and enhance resilience. Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.
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War-related stressors as predictors of post-deployment health of Air Force women.
Pierce, Penny F; Lewandowski-Romps, Lisa; Silverschanz, Perry
2011-01-01
Little is known about the effects of combat exposure on women's health after service in Operation Iraqi Freedom (OIF). Our purpose was to describe the incidence and nature of physical heath symptoms reported by deployed women to identify problematic areas where early intervention or better surveillance might be directed. Using a random, stratified sample (theater vs. non-theater; parent vs. non-parent; and military component including active, guard, and reserve members) of 1,114 Air Force women, we provide descriptive statistics, group comparisons, and multiple regression models to identify health concerns and potential predictors of physical health outcomes. Findings revealed that those in the reserve/guard forces (vs. active duty) and those in the theater of operations (vs. elsewhere during the same time period) reported greater physical health problems (β = -0.07, p social functioning (β = 0.08, p war-related predictors of health among women serving in deployed locations around the world. Copyright © 2011. Published by Elsevier Inc.
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Ellis, Hugh; Schoenberger, Erica
2017-01-01
According to the most recent estimates, 842,000 deaths in low- to middle-income countries were attributable to inadequate water, sanitation and hygiene in 2012. Despite billions of dollars and decades of effort, we still lack a sound understanding of which kinds of WASH interventions are most effective in improving public health outcomes, and an important corollary-whether the right things are being measured. The World Health Organization (WHO) has made a concerted effort to compile comprehensive data on drinking water quality and sanitation in the developing world. A recent 2014 report provides information on three phenotypes (responses): Unsafe Water Deaths, Unsafe Sanitation Deaths, Unsafe Hygiene Deaths; two grouped phenotypes: Unsafe Water and Sanitation Deaths and Unsafe Water, Sanitation and Hygiene Deaths; and six explanatory variables (predictors): Improved Sanitation, Unimproved Water Source, Piped Water To Premises, Other Improved Water Source, Filtered and Bottled Water in the Household and Handwashing. Regression analyses were performed to identify statistically significant associations between these mortality responses and predictors. Good fitted-model performance required: (1) the use of population-normalized death fractions as opposed to number of deaths; (2) transformed response (logit or power); and (3) square-root predictor transformation. Given the complexity and heterogeneity of the relationships and countries being studied, these models exhibited remarkable performance and explained, for example, about 85% of the observed variance in population-normalized Unsafe Sanitation Death fraction, with a high F-statistic and highly statistically significant predictor p-values. Similar performance was found for all other responses, which was an unexpected result (the expected associations between responses and predictors-i.e., water-related with water-related, etc. did not occur). The set of statistically significant predictors remains the same across
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Directory of Open Access Journals (Sweden)
Hugh Ellis
Full Text Available According to the most recent estimates, 842,000 deaths in low- to middle-income countries were attributable to inadequate water, sanitation and hygiene in 2012. Despite billions of dollars and decades of effort, we still lack a sound understanding of which kinds of WASH interventions are most effective in improving public health outcomes, and an important corollary-whether the right things are being measured. The World Health Organization (WHO has made a concerted effort to compile comprehensive data on drinking water quality and sanitation in the developing world. A recent 2014 report provides information on three phenotypes (responses: Unsafe Water Deaths, Unsafe Sanitation Deaths, Unsafe Hygiene Deaths; two grouped phenotypes: Unsafe Water and Sanitation Deaths and Unsafe Water, Sanitation and Hygiene Deaths; and six explanatory variables (predictors: Improved Sanitation, Unimproved Water Source, Piped Water To Premises, Other Improved Water Source, Filtered and Bottled Water in the Household and Handwashing.Regression analyses were performed to identify statistically significant associations between these mortality responses and predictors. Good fitted-model performance required: (1 the use of population-normalized death fractions as opposed to number of deaths; (2 transformed response (logit or power; and (3 square-root predictor transformation. Given the complexity and heterogeneity of the relationships and countries being studied, these models exhibited remarkable performance and explained, for example, about 85% of the observed variance in population-normalized Unsafe Sanitation Death fraction, with a high F-statistic and highly statistically significant predictor p-values. Similar performance was found for all other responses, which was an unexpected result (the expected associations between responses and predictors-i.e., water-related with water-related, etc. did not occur. The set of statistically significant predictors remains the
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Directory of Open Access Journals (Sweden)
Nancy A. Pike
2016-10-01
Full Text Available Introduction: Adolescents and young adults with congenital heart disease [CHD] show a range of memory deficits, which can dramatically impact their clinical outcomes and quality of life. However, few studies have identified predictors of these memory changes. The purpose of this investigation was to identify predictors of memory deficits in adolescents and young adults with CHD after surgical palliation compared to healthy controls. Method: 156 adolescents and young adults [80 CHD and 76 controls; age 14-21 years] were recruited and administered an instrument to assess memory [Wide Range Assessment of Memory and Learning 2nd Edition – general memory index (GMI score] and completed questionnaires that measure anxiety, depression, sleepiness, health status, and self-efficacy. Descriptive and non-parametric statistics were used to assess group differences, and logistic regression to identify predictors of memory deficits. Results: CHD subjects consisted of 58% males, median age 17 years, 41% Hispanic, and medians of 2 previous heart surgeries and 14 years since last surgery. Memory deficits [GMI < 85] were identified in 50% CHD compared to 4% healthy controls [median GMI 85 vs. 108, p <0.001]. Of GMI subscale medians, CHD subjects had significantly worse memory performance vs. healthy controls [verbal 88 vs. 105, p <0.001; attention 88 vs. 109, p<0.001; working memory 86 vs. 108, p <0.001]. No significant differences appeared between groups for visual memory. Multiple clinical and psychosocial factors were identified which were statistically different on bivariate analyses between the subjects with and without memory deficits. By multivariate analysis, male gender, number of surgeries, anxiety, and self-efficacy emerged as independent predictors of memory deficits. Conclusion: Adolescents and young adults with CHD, more than a decade since their last surgery, show significant verbal, attention and working memory deficits over controls. To enhance
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Tsai, Jack; Hoff, Rani A; Harpaz-Rotem, Ilan
2017-05-01
The Department of Veterans Affairs (VA) is committed to preventing and ending homelessness among U.S. veterans, but there have been few estimates of the incidence of veteran homelessness and prospective studies to identify predictors of homelessness. This study examines the 1-year incidence of homelessness among veterans seen in VA specialty mental health clinics and identified sociodemographic and clinical predictors of homelessness. Using a retrospective cohort study design, data were extracted from the VA medical records of 306,351 veterans referred to anxiety and posttraumatic stress disorder clinics across 130 VA facilities from 2008-2012 and followed for 1 year after referral. Homeless incidence was defined as new use of any VA homeless services or a documented International Classification of Diseases (9th rev.) V60.0 (lack of housing) code during the year. Of the total sample, 5.6% (7.8% for women and 5.4% for men) experienced homelessness within 1 year after referral to VA specialty mental health care. Veterans who were unmarried or diagnosed with a drug use disorder were more than twice as likely to become homeless; those who were Black or had annual incomes less than $25,000 were more than one and a half times as likely to become homeless. Together, these findings suggest a notable and important percentage of veterans seen in VA specialty mental health clinics newly experience homelessness annually. Monitoring early signs of housing vulnerability and preventing homelessness in this vulnerable but treatment-engaged population may be important in the VA's efforts to end veteran homelessness. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
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Predictors of Immunosuppressive Regulatory T Lymphocytes in Healthy Women
International Nuclear Information System (INIS)
Hampras, S. S.; Nesline, M.; Davis, W.; Moysich, K. B.; Wallace, P. K.; Odunsi, K.; Furlani, N.
2012-01-01
Immunosuppressive regulatory T (Treg) cells play an important role in antitumor immunity, self-tolerance, transplantation tolerance, and attenuation of allergic response. Higher proportion of Treg cells has been observed in peripheral blood of cancer cases compared to controls. Little is known about potential epidemiological predictors of Treg cell levels in healthy individuals. We conducted a cross-sectional study including 75 healthy women, between 20 and 80 years of age, who participated in the Data Bank and Bio Repository (DBBR) program at Roswell Park Cancer Institute (RPCI), Buffalo, NY, USA. Peripheral blood levels of CD4 + CD25 + FOXP3 + Treg cells were measured using flow cytometric analysis. A range of risk factors was evaluated using Wilcoxon Rank-Sum test, Kruskal-Wallis test, and linear regression. Age, smoking, medications for treatment of osteoporosis, postmenopausal status, body mass index (BMI), and hormone replacement therapy (HRT) were found to be significant positive predictors of Treg cell levels in peripheral blood (π≤0.05 ). Higher education, exercise, age at first birth, oral contraceptives, and use of Ibuprofen were found be significant (π<0.05) negative predictors of Treg levels. Thus, various epidemiological risk factors might explain interindividual variation in immune response to pathological conditions, including cancer.
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Jadalla, Ahlam A; Hattar, Marianne; Schubert, Christiane C
2015-01-01
A cross-sectional descriptive study was done using the Acculturation Rating scale of Arab Americans-II, and the Health Promotion and Lifestyle Profile II to assess the relationship between acculturation and health promotion practices among Arab Americans. Findings showed that attraction to American culture was the most important predictor of physical activity; whereas attraction to Arabic culture was the most important predictor of stress management and nutritional practices. Results suggest that, when demographics are controlled, acculturation predicts various health promotion practices in different patterns among members of this group. These findings contribute to a better understanding of acculturation's influence on immigrants' health promotion practices.
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Directory of Open Access Journals (Sweden)
Siti Fatimah Kader Maideen
Full Text Available INTRODUCTION: Depression is one of the most common mental health disorders and is an emerging public health problem. The objectives of this paper were to determine the prevalence of depression, its associated factors and the predictors of depression among adults in the community of Selangor. METHODS: A cross sectional study was conducted in three districts in Selangor, from 11th June to 30th December 2012. The sampling frame was obtained from the Department of Statistics Malaysia (DOS in May 2012, using the National Population and Housing Census 2010. Adults aged 18 years and above, living in the selected living quarters were approached to participate in the study and requested to complete a set of questionnaires. RESULTS: A total of 1,556 out of 2,152 participants participated in this study, giving an overall study response rate of 61.90%. Patient Health Questionnaire 9 (PHQ-9 was used to determine the presence of depression. The prevalence of depression was 10.3%, based on the PHQ-9 cut off point of 10 and above. Based on multiple logistic regression analysis, the predictors of depression were presence of anxiety, serious problems at work, unhappy relationship with children, high perceived stress, domestic violence, unhappy relationship with spouse, low self-esteem, unhappy relationship with family, serious financial constraint and presence of chronic diseases. When reanalyzed after removing anxiety, high perceived stress and low self-esteem, additional predictors of depression were found to be serious marital problems and religiosity. CONCLUSION: The prevalence of depression in this study is similar to that found in other studies. Findings from this study are being used as baseline data to develop an effective program to assist in the management of common mental health disorders in the community, in particular depression. The identification of predictors of depression in the community is important to identify the target population for the
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The Barthel index as predictor of handicap in stroke survivors: a ...
African Journals Online (AJOL)
Results: After adjusting for other variables, the multivariable analysis showed that handicap in stroke is significantly associated with the Barthel index (p<0.05) and atrial fibrillation (p<0.05). Conclusion: Barthel index is an important predictor of handicap following stroke. Atrial fibrillation should also be considered in the ...
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Predictors of pathological gambling severity taking gender differences into account.
González-Ortega, I; Echeburúa, E; Corral, P; Polo-López, R; Alberich, S
2013-01-01
The current study aims to identify predictors of pathological gambling (PG) severity, taking gender differences into account, in an outpatient sample of pathological gamblers seeking treatment. The sample for this study consisted of 103 subjects (51 women and 52 men) meeting current DSM-IV-TR criteria for PG. Linear and logistic regression analyses were used to examine different risk factors (gender, age, impulsivity, sensation seeking, self-esteem) and risk markers (depression, anxiety, gambling-related thoughts, substance abuse) as predictors of PG severity. Impulsivity, maladjustment in everyday life and age at gambling onset were the best predictors in the overall sample. When gender differences were taken into account, duration of gambling disorder in women and depression and impulsivity in men predicted PG severity. In turn, a high degree of severity in the South Oaks Gambling Screen score was related to older age and more familiy support in women and to low self-esteem and alcohol abuse in men. Female gamblers were older than male gamblers and started gambling later in life, but became dependent on gambling more quickly than men. Further research should examine these data to tailor treatment to specific patients' needs according to sex and individual characteristics. Copyright © 2012 S. Karger AG, Basel.
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Malavige, L S; Jayaratne, S D; Kathriarachchi, S T; Sivayogan, S; Ranasinghe, P; Levy, J C
2014-06-01
To identify predictors of poor quality of life among men with diabetes from a comprehensive set of sexual, clinical, socio-economic and lifestyle variables. This was a cross-sectional observational-study of 253 men with Type 2 diabetes, randomly selected from a clinic in Colombo, Sri Lanka. Erectile dysfunction was assessed using the five-item International Index of Erectile Function and quality of life was assessed using the Sri Lankan version of the 36-item short form health survey questionnaire and the disease-specific Psychological Impact of Erectile Dysfunction scale. The presence of premature ejaculation, reduced libido, socio-demographic and lifestyle data was obtained using an interviewer-administered questionnaire. Significant predictors of quality of life were identified by stepwise multivariate linear regression models for short form-36 subscales, summary scales and two scales of Psychological Impact of Erectile Dysfunction. Significant predictors on the physical summary scale of the 36-item short form were erectile dysfunction (β = 7.93, 95% CI 3.70-12.17, P 27.5 kg/m(2) (β = 9.12, 95% CI 1.38-17.44, P strong predictor of poor generic and disease-specific quality of life among other sexual and clinical variables in men with diabetes. © 2014 The Authors. Diabetic Medicine © 2014 Diabetes UK.
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Predictors of abnormal chest CT after blunt trauma: a critical appraisal of the literature.
Brink, M.; Kool, D.R.; Dekker, H.M.; Deunk, J.; Jager, G.J.; Kuijk, C. van; Edwards, M.J.R.; Blickman, J.G.
2009-01-01
AIM: To identify and to evaluate predictors that determine whether chest computed tomography (CT) is likely to reveal relevant injuries in adult blunt trauma patients. METHODS: After a comprehensive literature search for original studies on blunt chest injury diagnosis, two independent observers
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Mastenbroek, N. J. J. M.; Jaarsma, A. D. C.; Demerouti, E.; Muijtjens, A. M. M.; Scherpbier, A. J. J. A.; van Beukelen, P.
2014-01-01
With the aim to assess levels of burnout and work engagement in junior veterinarians and identify predictors of burnout and work engagement in male and female veterinarians, 1760 veterinarians who had graduated in The Netherlands between 1999 and 2009, received an electronic questionnaire.
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Mastenbroek, N. J. J. M.; Jaarsma, A. D. C.; Demerouti, E.; Muijtjens, A. M. M.; Scherpbier, A. J. J. A.; van Beukelen, P.
2014-01-01
With the aim to assess levels of burnout and work engagement in junior veterinarians and identify predictors of burnout and work engagement in male and female veterinarians, 1760 veterinarians who had graduated in The Netherlands between 1999 and 2009, received an electronic questionnaire.
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Bevan, Melody G; Asrani, Varsha M; Bharmal, Sakina; Wu, Landy M; Windsor, John A; Petrov, Maxim S
2017-06-01
Tolerance of oral food is an important criterion for hospital discharge in patients with acute pancreatitis. Patients who develop oral feeding intolerance have prolonged hospitalisation, use additional healthcare resources, and have impaired quality of life. This study aimed to quantify the incidence of oral feeding intolerance, the effect of confounders, and determine the best predictors of oral feeding intolerance. Clinical studies indexed in three electronic databases (EMBASE, MEDLINE, and the Cochrane Central Register of Controlled Trials) were reviewed. Incidence and predictor data were meta-analysed and possible confounders were investigated by meta-regression analysis. A total of 22 studies with 2024 patients met the inclusion criteria, 17 of which (with 1550 patients) were suitable for meta-analysis. The incidence of oral feeding intolerance was 16.3%, and was not affected by WHO region, age, sex, or aetiology of acute pancreatitis. Nine of the 22 studies investigated a total of 62 different predictors of oral feeding intolerance. Serum lipase level prior to refeeding, pleural effusions, (peri)pancreatic collections, Ranson score, and Balthazar score were found to be statistically significant in meta-analyses. Oral feeding intolerance affects approximately 1 in 6 patients with acute pancreatitis. Serum lipase levels of more than 2.5 times the upper limit of normal prior to refeeding is a potentially useful threshold to identify patients at high risk of developing oral feeding intolerance. Copyright © 2016 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.
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Predictors of feminist activism among sexual-minority and heterosexual college women.
Friedman, Carly K; Ayres, Melanie
2013-01-01
Engagement in activism is related to several aspects of social development in adolescence and emerging adulthood. Therefore, it is important to examine the correlates of different forms of activism, such as feminist collective action, among all youth. However, previous research has not investigated young sexual-minority women's engagement with feminist collective action. This study examined predictors of college-aged heterosexual and sexual-minority women's commitment to and participation in feminist activism. Sexual orientation, number of years in college, social support, experiences with discrimination, and gender identity were tested as predictors of commitment to and participation in feminist activism with a sample of 280 college-aged women (173 heterosexuals and 107 sexual minorities). Similar predictors were related to both commitment to and participation in feminist activism. However, for sexual-minority women, but not heterosexual women, the number of years in college was correlated with participation in feminist activism. Young sexual-minority women reported more participation in feminist activism than did heterosexual women, even after controlling for social support, discrimination, and gender identity.
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Carter, Jacqueline C; Kelly, Allison C
2015-03-01
This study aimed to identify baseline predictors of autonomous and controlled motivation for treatment (ACMT) in a transdiagnostic eating disorder sample, and to examine whether ACMT at baseline predicted change in eating disorder psychopathology during treatment. Participants were 97 individuals who met DSM-IV-TR criteria for an eating disorder and were admitted to a specialized intensive treatment programme. Self-report measures of eating disorder psychopathology, ACMT, and various psychosocial variables were completed at the start of treatment. A subset of these measures was completed again after 3, 6, 9, and 12 weeks of treatment. Multiple regression analyses showed that baseline autonomous motivation was higher among patients who reported more self-compassion and more received social support, whereas the only baseline predictor of controlled motivation was shame. Multilevel modelling revealed that higher baseline autonomous motivation predicted faster decreases in global eating disorder psychopathology, whereas the level of controlled motivation at baseline did not. The current findings suggest that developing interventions designed to foster autonomous motivation specifically and employing autonomy supportive strategies may be important to improving eating disorders treatment outcome. The findings of this study suggest that developing motivational interventions that focus specifically on enhancing autonomous motivation for change may be important for promoting eating disorder recovery. Our results lend support for the use of autonomy supportive strategies to strengthen personally meaningful reasons to achieve freely chosen change goals in order to enhance treatment for eating disorders. One study limitation is that there were no follow-up assessments beyond the 12-week study and we therefore do not know whether the relationships that we observed persisted after treatment. Another limitation is that this was a correlational study and it is therefore important
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Predictors of car smoking rules among smokers in France, Germany and the Netherlands
Hitchman, S.C.; Guignard, R.; Nagelhout, G.E.; Mons, U.; Beck, F.; van den Putte, B.; Crone, M.; de Vries, H.; Hyland, A.; Fong, G.T.
2012-01-01
Background: As exposure to tobacco smoke pollution (TSP) has been identified as a cause of premature death and disease in non-smokers, and studies have demonstrated that smoking in cars produces high levels of TSP, this study will investigate smokers’ rules for smoking in their cars, and predictors
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Clinical Trials With Large Numbers of Variables: Important Advantages of Canonical Analysis.
Cleophas, Ton J
2016-01-01
Canonical analysis assesses the combined effects of a set of predictor variables on a set of outcome variables, but it is little used in clinical trials despite the omnipresence of multiple variables. The aim of this study was to assess the performance of canonical analysis as compared with traditional multivariate methods using multivariate analysis of covariance (MANCOVA). As an example, a simulated data file with 12 gene expression levels and 4 drug efficacy scores was used. The correlation coefficient between the 12 predictor and 4 outcome variables was 0.87 (P = 0.0001) meaning that 76% of the variability in the outcome variables was explained by the 12 covariates. Repeated testing after the removal of 5 unimportant predictor and 1 outcome variable produced virtually the same overall result. The MANCOVA identified identical unimportant variables, but it was unable to provide overall statistics. (1) Canonical analysis is remarkable, because it can handle many more variables than traditional multivariate methods such as MANCOVA can. (2) At the same time, it accounts for the relative importance of the separate variables, their interactions and differences in units. (3) Canonical analysis provides overall statistics of the effects of sets of variables, whereas traditional multivariate methods only provide the statistics of the separate variables. (4) Unlike other methods for combining the effects of multiple variables such as factor analysis/partial least squares, canonical analysis is scientifically entirely rigorous. (5) Limitations include that it is less flexible than factor analysis/partial least squares, because only 2 sets of variables are used and because multiple solutions instead of one is offered. We do hope that this article will stimulate clinical investigators to start using this remarkable method.
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Directory of Open Access Journals (Sweden)
John Ong
2018-03-01
Full Text Available Summary: Use of hepatocytes derived from induced pluripotent stem cells (i-Heps is limited by their functional differences in comparison with primary cells. Extracellular niche factors likely play a critical role in bridging this gap. Using image-based characterization (high content analysis; HCA of freshly isolated hepatocytes from 17 human donors, we devised and validated an algorithm (Hepatocyte Likeness Index; HLI for comparing the hepatic properties of cells against a physiological gold standard. The HLI was then applied in a targeted screen of extracellular niche factors to identify substrates driving i-Heps closer to the standard. Laminin 411, the top hit, was validated in two additional induced pluripotent stem cell (iPSC lines, primary tissue, and an in vitro model of α1-antitrypsin deficiency. Cumulatively, these data provide a reference method to control and screen for i-Hep differentiation, identify Laminin 411 as a key niche protein, and underscore the importance of combining substrates, soluble factors, and HCA when developing iPSC applications. : Rashid and colleagues demonstrate the utility of a high-throughput imaging platform for identification of physiologically relevant extracellular niche factors to advance i-Heps closer to their primary tissue counterparts. The extracellular matrix (ECM protein screen identified Laminin 411 as an important niche factor facilitating i-Hep-based disease modeling in vitro. Keywords: iPS hepatocytes, extracellular niche, image-based screening, disease modeling, laminin
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Predictors of Career Adaptability Skill among Higher Education Students in Nigeria
Directory of Open Access Journals (Sweden)
Amos Shaibu Ebenehi
2016-12-01
Full Text Available This paper examined predictors of career adaptability skill among higher education students in Nigeria. A sample of 603 higher education students randomly selected from six colleges of education in Nigeria participated in this study. A set of self-reported questionnaire was used for data collection, and multiple linear regression analysis was used to analyze the data. Results indicated that 33.3% of career adaptability skill was explained by the model. Four out of the five predictor variables significantly predicted career adaptability skill among higher education students in Nigeria. Among the four predictors, career self-efficacy sources was the most statistically significant predictor of career adaptability skill among higher education students in Nigeria, followed by personal goal orientation, career future concern, and perceived social support respectively. Vocational identity did not statistically predict career adaptability skill among higher education students in Nigeria. The study suggested that similar study should be replicated in other parts of the world in view of the importance of career adaptability skill to the smooth transition of graduates from school to the labor market. The study concluded by requesting stakeholders of higher institutions in Nigeria to provide career exploration database for the students, and encourage career intervention program in order to enhance career adaptability skill among the students.
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Predictors of WAIS-R vocabulary in late life: Differences by race.
Morin, Ruth T; Midlarsky, Elizabeth
2017-11-01
Vocabulary scores tend to be significantly related to education in heterogeneous groups of older adults, even after controlling for confounding variables. However, there may be other factors that impinge on cognitive functioning for certain demographic groups, particularly those whose educational opportunities were limited, and who may have experienced considerable stress as a result of their minority status. This study sought to explore possible predictors of vocabulary scores among African American and White older adults. In this study, samples of African American (N = 165) and White (N = 146) community-dwelling older adults reported their level of education, perceived health status, and number of stressful life events, and were administered the Wechsler Adult Intelligence Scale-Revised (WAIS-R) Vocabulary subtest. Among the White participants, level of education was the only significant predictor of vocabulary score after controlling for perceived health and exposure to stress. Among African American participants, education was also a significant predictor of vocabulary score. However perceived health and number of stressful life events were also significantly predictors of vocabulary score. Findings indicate that for certain cohorts of older adults, especially those who may have experienced stressful life circumstances and health disparities as a result of racial inequality, education may not be the only variable that predicts verbal intelligence. The importance of investigating cognitive functioning within a broader sociocultural context is discussed.
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Choi, Jeong Sil; Kim, Kyung Mi
2015-11-01
Job embeddedness indicates the degree to which an employee of an organization intends to remain in his or her position at that organization. This study examined how job embeddedness affects infection control nurses' turnover intention along with general characteristics, job satisfaction, and perceived job alternatives. We collected data from a total of 133 infection control nurses using self-reporting questionnaire methods. All questions were answered on a 5-point Likert scale. The average turnover intention was 3.01 ± 0.72 (100-point conversion, 60.2%), and average job satisfaction was 3.48 ± 0.79 (100-point conversion, 69.6%). The average perceived availability of job alternatives was 3.02 ± 0.78 (100-point conversion, 60.4%), and average job embeddedness was 3.33 ± 0.57 (100-point conversion, 66.6%). Predictors of turnover intention were monthly income, perceived availability of job alternatives, and job embeddedness. Job embeddedness among predictors has high explanatory power as a predictor of infection control nurses' turnover intention. Through this study we identified predictors of turnover intention and found that job embeddedness among predictors has high explanatory power as a predictor of infection control nurses' turnover intention. Strategies to enhance infection control nurses' job embeddedness are needed. Copyright © 2015 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.
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Pepper, Dominique J; Schomaker, Michael; Wilkinson, Robert J; de Azevedo, Virginia; Maartens, Gary
2015-01-01
Identifying those at increased risk of death during TB treatment is a priority in resource-constrained settings. We performed this study to determine predictors of mortality during TB treatment. We performed a retrospective analysis of a TB surveillance population in a high HIV prevalence area that was recorded in ETR.net (Electronic Tuberculosis Register). Adult TB cases initiated TB treatment from 2007 through 2009 in Khayelitsha, South Africa. Cox proportional hazards models were used to identify risk factors for death (after multiple imputations for missing data). Model selection was performed using Akaike's Information Criterion to obtain the most relevant predictors of death. Of 16,209 adult TB cases, 851 (5.3 %) died during TB treatment. In all TB cases, advancing age, co-infection with HIV, a prior history of TB and the presence of both pulmonary and extra-pulmonary TB were independently associated with an increasing hazard of death. In HIV-infected TB cases, advancing age and female gender were independently associated with an increasing hazard of death. Increasing CD4 counts and antiretroviral treatment during TB treatment were protective against death. In HIV-uninfected TB cases, advancing age was independently associated with death, whereas smear-positive disease was protective. We identified several independent predictors of death during TB treatment in resource-constrained settings. Our findings inform resource-constrained settings about certain subgroups of TB patients that should be targeted to improve mortality during TB treatment.
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Oude Voshaar, R.C.; Gorgels, W.J.M.J.; Mol, A.J.J.; Balkom, A.J.L.M. van; Mulder, J.; Lisdonk, E.H. van de; Breteler, M.H.M.; Zitman, F.G.
2006-01-01
OBJECTIVE: To identify predictors of resumed benzodiazepine use after participation in a benzodiazepine discontinuation trial. METHOD: We performed multiple Cox regression analyses to predict the long-term outcome of a 3-condition, randomized, controlled benzodiazepine discontinuation trial in
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Oude Voshaar, R.C.; Gorgels, W.J.M.J.; Mol, A.J.J.; Balkom, A.J.L.M. van; Mulder, J.; Lisdonk, E.H. van de; Breteler, M.H.M.; Zitman, F.G.
2006-01-01
Objective: To identify predictors of resumed benzodiazepine use after participation in a benzodiazepine discontinuation trial. Method: We performed multiple Cox regression analyses to predict the long-term outcome of a 3-condition, randomized, controlled benzodiazepine discontinuation trial in
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Predictors of job satisfaction among Academic Faculty: Do instructional and clinical faculty differ?
Chung, Kevin C.; Song, Jae W.; Kim, H. Myra; Woolliscroft, James O.; Quint, Elisabeth H.; Lukacs, Nicholas W.; Gyetko, Margaret R.
2010-01-01
Objectives To identify and compare predictors of job satisfaction between the instructional and clinical faculty tracks. Method A 61-item faculty job satisfaction survey was distributed to 1,898 academic faculty at the University of Michigan Medical School. The anonymous survey was web-based. Questions covered topics on departmental organization, research, clinical and teaching support, compensation, mentorship, and promotion. Levels of satisfaction were contrasted between the two tracks, and predictors of job satisfaction were identified using linear regression models. Results The response rates for the instructional and clinical tracks were 43.1% and 41.3%, respectively. Clinical faculty reported being less satisfied with how they are mentored, and fewer reported understanding the process for promotion. There was no significant difference in overall job satisfaction between faculty tracks. Surprisingly, clinical faculty with mentors were significantly less satisfied with how they were being mentored, with career advancement and overall job satisfaction, compared to instructional faculty mentees. Additionally, senior-level clinical faculty were significantly less satisfied with their opportunities to mentor junior faculty compared to senior-level instructional faculty. Significant predictors of job satisfaction for both tracks included areas of autonomy, meeting career expectations, work-life balance, and departmental leadership. Unique to the clinical track, compensation and career advancement variables also emerged as significant predictors. Conclusion Greater effort must be placed in the continued attention to faculty well-being both at the institutional level and at the level of departmental leadership. Success in enhancing job satisfaction is more likely if directed by locally designed assessments involving department chairs, specifically in fostering more effective mentoring relationships focused on making available career advancement activities such as
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Media and Life Dissatisfaction as Predictors of Body Dissatisfaction
Directory of Open Access Journals (Sweden)
Melissa Bittencourt Jaeger
2015-08-01
Full Text Available Body dissatisfaction can contribute to social, occupational and recreational losses, constituting a risk factor to health. This study aimed to evaluate the predictors of body dissatisfaction regarding demographic variables, media and life satisfaction among university students. The sample consisted of 321 participants older than 18 years. Body dissatisfaction, life dissatisfaction and media messages internalization were evaluated by Escala de Silhuetas para Adultos Brasileiros, Subjective Well-Being Scale and Sociocultural Attitudes Towards Appearance Questionnaire-3, respectively. Data were collected by an online survey tool (SurveyMonkey® and were analyzed using multiple linear regression. It was found that body dissatisfaction was positively related to inaccuracy in the perception of body size, Body Mass Index, life dissatisfaction, media messages internalization and television exposure. These findings evidence the importance of these predictors in the dynamics of body dissatisfaction, which support the development of preventive and treatment interventions.
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Iglesias, Jose; Frank, Elliot; Mehandru, Sushil; Davis, John M; Levine, Jerrold S
2013-01-01
Background Renal dysfunction occurs commonly in patients awaiting orthotopic liver transplantation (OLT) for end-stage liver disease. The use of simultaneous liver-kidney transplantation has increased in the MELD scoring era. As patients may recover renal function after OLT, identifying factors predictive of renal recovery is a critical issue, especially given the scarcity of available organs. Methods Employing the UNOS database, we sought to identify donor- and patient-related predictors of ...
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Directory of Open Access Journals (Sweden)
S. Pamela K. Shiao
2018-02-01
Full Text Available For the personalization of polygenic/omics-based health care, the purpose of this study was to examine the gene–environment interactions and predictors of colorectal cancer (CRC by including five key genes in the one-carbon metabolism pathways. In this proof-of-concept study, we included a total of 54 families and 108 participants, 54 CRC cases and 54 matched family friends representing four major racial ethnic groups in southern California (White, Asian, Hispanics, and Black. We used three phases of data analytics, including exploratory, family-based analyses adjusting for the dependence within the family for sharing genetic heritage, the ensemble method, and generalized regression models for predictive modeling with a machine learning validation procedure to validate the results for enhanced prediction and reproducibility. The results revealed that despite the family members sharing genetic heritage, the CRC group had greater combined gene polymorphism rates than the family controls (p < 0.05, on MTHFR C677T, MTR A2756G, MTRR A66G, and DHFR 19 bp except MTHFR A1298C. Four racial groups presented different polymorphism rates for four genes (all p < 0.05 except MTHFR A1298C. Following the ensemble method, the most influential factors were identified, and the best predictive models were generated by using the generalized regression models, with Akaike’s information criterion and leave-one-out cross validation methods. Body mass index (BMI and gender were consistent predictors of CRC for both models when individual genes versus total polymorphism counts were used, and alcohol use was interactive with BMI status. Body mass index status was also interactive with both gender and MTHFR C677T gene polymorphism, and the exposure to environmental pollutants was an additional predictor. These results point to the important roles of environmental and modifiable factors in relation to gene–environment interactions in the prevention of CRC.
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Predictors of psychological resilience amongst medical students following major earthquakes.
Carter, Frances; Bell, Caroline; Ali, Anthony; McKenzie, Janice; Boden, Joseph M; Wilkinson, Timothy; Bell, Caroline
2016-05-06
To identify predictors of self-reported psychological resilience amongst medical students following major earthquakes in Canterbury in 2010 and 2011. Two hundred and fifty-three medical students from the Christchurch campus, University of Otago, were invited to participate in an electronic survey seven months following the most severe earthquake. Students completed the Connor-Davidson Resilience Scale, the Depression, Anxiety and Stress Scale, the Post-traumatic Disorder Checklist, the Work and Adjustment Scale, and the Eysenck Personality Questionnaire. Likert scales and other questions were also used to assess a range of variables including demographic and historical variables (eg, self-rated resilience prior to the earthquakes), plus the impacts of the earthquakes. The response rate was 78%. Univariate analyses identified multiple variables that were significantly associated with higher resilience. Multiple linear regression analyses produced a fitted model that was able to explain 35% of the variance in resilience scores. The best predictors of higher resilience were: retrospectively-rated personality prior to the earthquakes (higher extroversion and lower neuroticism); higher self-rated resilience prior to the earthquakes; not being exposed to the most severe earthquake; and less psychological distress following the earthquakes. Psychological resilience amongst medical students following major earthquakes was able to be predicted to a moderate extent.
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Neonatal Predictors of Cognitive Ability in Adults Born Very Preterm : A Prospective Cohort Study
Breeman, L.D.; Jaekel, Julia; Baumann, Nicole; Bartmann, Peter; Wolke, Dieter
Aim To identify neonatal predictors to allow a developmental prognosis of very preterm / very-low birthweight (VP/VLBW) survivors' cognitive abilities into adult life. Method The Bavarian Longitudinal Study is a prospective whole population study that followed 260 VP/VLBW infants from birth to
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Clark, Carol Lynn; Berman, Aaron D; McHugh, Ann; Roe, Edward Jedd; Boura, Judith; Swor, Robert A
2012-01-01
To assess the relationship of emergency medical services (EMS) intervals and internal hospital intervals to the rapid reperfusion of patients with ST-segment elevation myocardial infarction (STEMI). We performed a secondary analysis of a prospectively collected database of STEMI patients transported to a large academic community hospital between January 1, 2004, and December 31, 2009. EMS and hospital data intervals included EMS scene time, transport time, hospital arrival to myocardial infarction (MI) team activation (D2Page), page to catheterization laboratory arrival (P2Lab), and catheterization laboratory arrival to reperfusion (L2B). We used two outcomes: EMS scene arrival to reperfusion (S2B) ≤90 minutes and hospital arrival to reperfusion (D2B) ≤90 minutes. Means and proportions are reported. Pearson chi-square and multivariate regression were used for analysis. During the study period, we included 313 EMS-transported STEMI patients with 298 (95.2%) MI team activations. Of these STEMI patients, 295 (94.2%) were taken to the cardiac catheterization laboratory and 244 (78.0%) underwent percutaneous coronary intervention (PCI). For the patients who underwent PCI, 127 (52.5%) had prehospital EMS activation, 202 (82.8%) had D2B ≤90 minutes, and 72 (39%) had S2B ≤90 minutes. In a multivariate analysis, hospital processes EMS activation (OR 7.1, 95% CI 2.7, 18.4], Page to Lab [6.7, 95% CI 2.3, 19.2] and Lab arrival to Reperfusion [18.5, 95% CI 6.1, 55.6]) were the most important predictors of Scene to Balloon ≤ 90 minutes. EMS scene and transport intervals also had a modest association with rapid reperfusion (OR 0.85, 95% CI 0.78, 0.93 and OR 0.89, 95% CI 0.83, 0.95, respectively). In a secondary analysis, Hospital processes (Door to Page [OR 44.8, 95% CI 8.6, 234.4], Page 2 Lab [OR 5.4, 95% CI 1.9, 15.3], and Lab arrival to Reperfusion [OR 14.6 95% CI 2.5, 84.3]), but not EMS scene and transport intervals were the most important predictors D2B ≤90
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Predictors of Interventional Success of Antegrade PCI for CTO.
Luo, Chun; Huang, Meiping; Li, Jinglei; Liang, Changhong; Zhang, Qun; Liu, Hui; Liu, Zaiyi; Qu, Yanji; Jiang, Jun; Zhuang, Jian
2015-07-01
This study aimed to identify significant lesion features of chronic total occlusions (CTOs) that predict failure of antegrade (A) percutaneous coronary intervention (PCI) using pre-procedure coronary computed tomography angiography (CTA) combined with conventional coronary angiography (CCA). The current predictors of successful A-PCI in the setting of CTOs are uncertain. Such knowledge might prompt early performance of a retrograde (R)-PCI approach if predictors of A-PCI failure are present. Consecutive patients confirmed to have at least 1 CTO of native coronary arteries underwent coronary CTA- and CCA-guided PCI in which computed tomography and fluoroscopic images were placed side by side before or during PCI. The study included 103 patients with 108 CTOs; 80 lesions were successfully treated with A-PCI and 28 lesions failed this approach, for an A-PCI success rate of 74%. A total of 15 of 28 failed cases underwent attempted R-PCI. Only 1 case also failed R-PCI; thus, the total PCI success rate was 87%. By multivariable analysis, the factors significantly predictive of failed A-PCI included negative remodeling (odds ratio [OR]: 137.82) and lesion length >31.89 mm on coronary CTA (OR: 7.04), and ostial or bifurcation lesions on CCA (OR: 8.02). R-PCI was successful in 14 of 15 patients (93.3%), in whom good appearance of the occluded distal segment and well-developed collateral vessels were present. Morphologic predictors of failed A-PCI on the basis of pre-procedure coronary CTA and CCA imaging may be identified, which may assist in determining which patients with CTO lesions would benefit from an early R-PCI strategy. Copyright © 2015 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.
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Early Predictors of ASD in Young Children Using a Nationally Representative Data Set
Jeans, Laurie M.; Santos, Rosa Milagros; Laxman, Daniel J.; McBride, Brent A.; Dyer, W. Justin
2013-01-01
Current clinical diagnosis of Autism Spectrum Disorders (ASD) occurs between 3 and 4 years of age, but increasing evidence indicates that intervention begun earlier may improve outcomes. Using secondary analysis of the Early Childhood Longitudinal Study-Birth Cohort data set, the current study identifies early predictors prior to the diagnosis of…
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Predictors of migraine headache recurrence: A pooled analysis from the eletriptan database
DEFF Research Database (Denmark)
Dodick, D.W.; Lipton, R.B.; Goadsby, P.J.
2008-01-01
Objective.-To identify clinical variables associated with risk of headache recurrence within 22 hours of initial successful treatment of a migraine attack (2-hour headache response), and to analyze the effect of eletriptan in reducing the incidence of recurrence. Methods.-Data were pooled from 10...... evaluable. A multivariable logistic regression analysis identified significant predictors of headache recurrence (return to moderate/severe pain intensity within 22 hours of initial headache response). Treatment response was assessed in two high-risk subgroups, defined by the presence of significant...
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Armstrong, Joshua J; Zhu, Mu; Hirdes, John P; Stolee, Paul
2015-01-01
To examine regional variation in service provision and identify the client characteristics associated with occupational therapy (OT) and physiotherapy (PT) services for older adults in the Ontario Home Care System. Secondary analyses of a provincial database containing comprehensive assessments (RAI-HC) linked with service utilization data from every older long-stay home care client in the system between 2005 and 2010 (n = 299 262). Hierarchical logistic regression models were used to model the dependent variables of OT and PT service use within 90 d of the initial assessment. Regional differences accounted for 9% of the variation in PT service provision and 20% of OT service provision. After controlling for the differences across regions, the most powerful predictors of service provision were identified for both OT and PT. The most highly associated client characteristics related to PT service provision were hip fracture, impairments in activities of daily living/instrumental activities of daily living, cerebrovascular accidents, and cognitive impairment. For OT, hazards in the home environment was the most powerful predictor of future service provision. Where a client lived was an important determinant of service provision in Ontario, raising the possibility of inequities in access to rehabilitation services. Health care planners and policy makers should review current practices and make adjustments to meet the increasing and changing needs for rehabilitation therapies of the aging population. Implications for Rehabilitation For older adults in home care, the goal of rehabilitation therapy services is to allow individuals to maintain or improve physical functioning, quality of life and overall independence while living within their community. Previous research has demonstrated that a large proportion of home care clients specifically identified as having rehabilitation potential do not receive it. This article used clinical assessment data to identify the
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Directory of Open Access Journals (Sweden)
Sheri R. Kiami
2017-01-01
Full Text Available This study examined maternal stress, coping strategies, and support needs among mothers of children with Autism Spectrum Disorder (ASD. A convenience sample of 70 mothers completed the Parent Stress Index Short Form (PSI-SF, Coping Health Inventory for Parents (CHIP, and Modified Family Needs Questionnaire (FNQ. PSI-SF scores reflected clinically significant levels of stress for 77% of mothers, and mothers identified 62.4% of important needs as unmet. The five most frequently reported important unmet needs were (1 financial support; (2 break from responsibilities; (3 understanding of other after-school program children; (4 rest/sleep; (5 help remaining hopeful about the future. Most coping strategies (81% were identified as helpful. Additionally, both coping strategies and support needs served as predictors for maternal stress. Maternal stress scores decreased by .402 points for each percent increase in helpful coping strategy, and stress scores increased by .529 points with each percent increase in unmet needs. Given large variation in questionnaire responses across participants and studies, utilization of user-friendly questionnaires, such as the PSI-SF, CHIP, and FNQ, is advocated to determine the evolving important needs unique to each family over the child’s lifetime as well as guide prioritization of care, compilation of resources, and referrals for additional services.
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Predictors of yoga use among internal medicine patients.
Cramer, Holger; Lauche, Romy; Langhorst, Jost; Paul, Anna; Michalsen, Andreas; Dobos, Gustav
2013-07-13
Yoga seems to be an effective means to cope with a variety of internal medicine conditions. While characteristics of yoga users have been investigated in the general population, little is known about predictors of yoga use and barriers to yoga use in internal medicine patients. The aim of this cross-sectional analysis was to identify sociodemographic, clinical, and psychological predictors of yoga use among internal medicine patients. A cross-sectional analysis was conducted among all patients being referred to a Department of Internal and Integrative Medicine during a 3-year period. It was assessed whether patients had ever used yoga for their primary medical complaint, the perceived benefit, and the perceived harm of yoga practice. Potential predictors of yoga use including sociodemographic characteristics, health behavior, internal medicine diagnosis, general health status, mental health, satisfaction with health, and health locus of control were assessed; and associations with yoga use were tested using multiple logistic regression analysis. Odds ratios (OR) with 95% confidence intervals (CI) were calculated for significant predictors. Of 2486 participants, 303 (12.19%) reported having used yoga for their primary medical complaint. Of those, 184 (60.73%) reported benefits and 12 (3.96%) reported harms due to yoga practice. Compared to yoga non-users, yoga users were more likely to be 50-64 years old (OR = 1.45; 95%CI = 1.05-2.01; P = 0.025); female (OR = 2.45; 95%CI = 1.45-4.02; P internal health locus of control (OR = 1.92; 95%CI = 1.38-2.67; P internal integrative medicine patient population and was commonly perceived as beneficial. Yoga use was not associated with the patients' specific diagnosis but with sociodemographic factors, mental health, and health locus of control. To improve adherence to yoga practice, it should be considered that male, younger, and anxious patients and those with low internal health locus of control might be less intrinsically
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Rose, Danielle E; Tisnado, Diana M; Tao, May L; Malin, Jennifer L; Adams, John L; Ganz, Patricia A; Kahn, Katherine L
2012-06-01
Physician co-management, representing joint participation in the planning, decision-making, and delivery of care, is often cited in association with coordination of care. Yet little is known about how physicians manage tasks and how their management style impacts patient outcomes. To describe physician practice style using breast cancer as a model. We characterize correlates and predictors of physician practice style for 10 clinical tasks, and then test for associations between physician practice style and patient ratings of care. We queried 347 breast cancer physicians identified by a population-based cohort of women with incident breast cancer regarding care using a clinical vignette about a hypothetical 65-year-old diabetic woman with incident breast cancer. To test the association between physician practice style and patient outcomes, we linked medical oncologists' responses to patient ratings of care (physician n=111; patient n=411). After adjusting for physician and practice setting characteristics, physician practice style varied by physician specialty, practice setting, financial incentives, and barriers to referrals. Patients with medical oncologists who co-managed tasks had higher patient ratings of care. Physician practice style for breast cancer is influenced by provider and practice setting characteristics, and it is an important predictor of patient ratings. We identify physician and practice setting factors associated with physician practice style and found associations between physician co-management and patient outcomes (e.g., patient ratings of care). © Health Research and Educational Trust.
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7C.05: PREDICTORS OF INCREASED ARTERIALL STIFFNESS IN HYPERTENSIVE PATIENTS.
Tautu, O; Darabont, R; Onciul, S; Deaconu, A; Petre, I; Andrei, R D; Dragoescu, B; Dorobantu, M
2015-06-01
To evaluate arterial stiffness in hypertensive patients and to identify predictors of increased arterial stiffness. 798 hypertensives identifyed in SEPHAR II survey (mean age 51.46 ± 5.82 years; 48.1% females) were evaluated by a study questionnaire, blood pressure and antropometric measurements and laboratory work-up. Studied parameters definitions were: increased arterial stiffness: PWVao > 10m/s, visceral obesity: waist circumference >102 cm in men and > 88 cm in women, diabetes mellitus assessed by current ADA criteria, lipid dissorders by NCEP ATPIII recomendations and increased BP variability: mean SBP' standard deviation (s.d.) values above the 75th percentile. Subclinical organ damage definitions were: left ventricular hypertrophy (LVH) on ECG assessed by Cornell product,urinary albumin to creatinine ratio (UACR) of 30 - 300 mg/g) and eGFRCKD-EPI 10m/s. Regression analysis validated as predictors of increased PWVao: age group [OR: 5.53; 95%CI (2.62-13.21)], hypertrygliceridemia [OR: 1.82; 95%CI (1.18-2.81)], low-HDL cholesterol [OR: 1.62; 95%CI (1.05-2.49)], SBP's.d values above 8,49mmHg [OR: 2.14; 95%CI (1.16-3.95)], UACR 30-300 mg/g [OR: 3.46; 95%CI (1.43-8.36)], LVH on ECG [OR: 2.14; 95%CI (1.79-7.34)], eGRFCKD-EPI dislipidemia, increased SBP variability, the lack of optimal BP treatment control and the presence of subclinical organ damage, may be considered as predictors of an increased arterial stiffness in hypertensive patients, placing these patients at an increased risk of major CV events.
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DRREP: deep ridge regressed epitope predictor.
Sher, Gene; Zhi, Degui; Zhang, Shaojie
2017-10-03
The ability to predict epitopes plays an enormous role in vaccine development in terms of our ability to zero in on where to do a more thorough in-vivo analysis of the protein in question. Though for the past decade there have been numerous advancements and improvements in epitope prediction, on average the best benchmark prediction accuracies are still only around 60%. New machine learning algorithms have arisen within the domain of deep learning, text mining, and convolutional networks. This paper presents a novel analytically trained and string kernel using deep neural network, which is tailored for continuous epitope prediction, called: Deep Ridge Regressed Epitope Predictor (DRREP). DRREP was tested on long protein sequences from the following datasets: SARS, Pellequer, HIV, AntiJen, and SEQ194. DRREP was compared to numerous state of the art epitope predictors, including the most recently published predictors called LBtope and DMNLBE. Using area under ROC curve (AUC), DRREP achieved a performance improvement over the best performing predictors on SARS (13.7%), HIV (8.9%), Pellequer (1.5%), and SEQ194 (3.1%), with its performance being matched only on the AntiJen dataset, by the LBtope predictor, where both DRREP and LBtope achieved an AUC of 0.702. DRREP is an analytically trained deep neural network, thus capable of learning in a single step through regression. By combining the features of deep learning, string kernels, and convolutional networks, the system is able to perform residue-by-residue prediction of continues epitopes with higher accuracy than the current state of the art predictors.
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Informing early intervention: preschool predictors of anxiety disorders in middle childhood.
Directory of Open Access Journals (Sweden)
Jennifer L Hudson
Full Text Available BACKGROUND: To inform early intervention practice, the present research examines how child anxiety, behavioural inhibition, maternal overinvolvement, maternal negativity, mother-child attachment and maternal anxiety, as assessed at age four, predict anxiety at age nine. METHOD: 202 children (102 behaviourally inhibited and 100 behaviourally uninhibited aged 3-4 years were initially recruited and the predictors outlined above were assessed. Diagnostic assessments, using the Anxiety Disorders Interview Schedule, were then conducted five years later. RESULTS: Behavioural inhibition, maternal anxiety, and maternal overinvolvement were significant predictors of clinical anxiety, even after controlling for baseline anxiety (p.1. CONCLUSIONS: Preschool children who show anxiety, are inhibited, have overinvolved mothers and mothers with anxiety disorders are at increased risk for anxiety in middle childhood. These factors can be used to identify suitable participants for early intervention and can be targeted within intervention programs.
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Predictors of the Perceived Importance of Food Skills of Home Economics Teachers
Fordyce-Voorham, Sandra P.
2016-01-01
Purpose: The purpose of this paper is to test an hypothesis that teachers' personal orientations toward food preparation, nutrition and environmental issues would be related to their perceived importance of food skills. Design/methodology/approach: Little research has been conducted on home economics teachers' views on the importance of the food…
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Predictors of physician career satisfaction, work-life balance, and burnout.
Keeton, Kristie; Fenner, Dee E; Johnson, Timothy R B; Hayward, Rodney A
2007-04-01
To explore factors associated with physician career satisfaction, work-life balance, and burnout focusing on differences across age, gender, and specialty. A cross-sectional, mailed, self-administered survey was sent to a national sample of 2,000 randomly-selected physicians, stratified by specialty, age, and gender (response rate 48%). Main outcome measures included career satisfaction, burnout, and work-life balance. Scales ranged from 1 to 100. Both women and men report being highly satisfied with their careers (79% compared with 76%, Pwork-life balance (48% compared with 49%, P=.24), and having moderate levels of emotional resilience (51% compared with 53%, P=.09). Measures of burnout strongly predicted career satisfaction (standardized beta 0.36-0.60, Pwork-life balance and burnout was having some control over schedule and hours worked (standardized beta 0.28, Pwork-life balance, or burnout. This national physician survey suggests that physicians can struggle with work-life balance yet remain highly satisfied with their career. Burnout is an important predictor of career satisfaction, and control over schedule and work hours are the most important predictors of work-life balance and burnout. II.
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Emotional and attentional predictors of self-regulation in early childhood
Directory of Open Access Journals (Sweden)
Stępień-Nycz Małgorzata
2015-09-01
Full Text Available The development of self-regulation in early childhood is related to development of emotional regulation and attention, in particular executive attention (Feldman, 2009; Posner & Rothbart, 1998. As the ability to self-regulate is crucial in life (Casey et al., 2011, it is important to reveal early predictors of self-regulation. The aim of the paper is to present the results of longitudinal studies on the relationships between the functioning of attention, regulation of emotion and later self-regulatory abilities. 310 children were assessed at three time points. At 12 months of age emotional regulation in situation of frustration and attention regulation were assessed. At 18 and 24 months behavioral-emotional regulation in the Snack Delay Task was measured. Additionally parents assessed executive attention using The Early Childhood Behavior Questionnaire when children were 26 months old. Structural equation modelling revealed two different paths to development of self-regulatory abilities at 18 months: emotional (reactive system and emotionalattentional and only one emotional-attentional path at 24 months. The early ability to focus attention and later executive attention functioning revealed to be important predictors of self-regulatory abilities both at 18 and 24 months of age.
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Predictors of injecting cessation among a cohort of people who inject drugs in Tijuana, Mexico.
Horyniak, Danielle; Strathdee, Steffanie A; West, Brooke S; Meacham, Meredith; Rangel, Gudelia; Gaines, Tommi L
2018-04-01
Little is known about the cessation of injecting drug use (IDU) among people who inject drugs (PWID) in low and middle-income settings, where access to effective interventions for reducing drug use (e.g., opioid substitution treatment; OST), may be limited. We measured the incidence and identified predictors of IDU cessation among a cohort of PWID in Tijuana, Mexico. Data were drawn from 621 participants in Proyecto El Cuete IV, a prospective cohort of PWID recruited in 2011 and interviewed biannually to 2016. A multivariable Extended Cox model was constructed to identify socio-demographic, drug use, risk environment and health-related predictors of IDU cessation (no IDU for ≥six months). 141 participants (23%) reported at least one IDU cessation event during follow-up. The crude IDU cessation rate was 7.3 per 100 person-years (95% Confidence Interval [CI]: 6.2-8.7). IDU cessation was negatively associated with injecting at least daily on average and heroin/methamphetamine co-injection in the past six months, and positively associated with testing HIV positive at baseline, being on methadone maintenance therapy in the past six months, and recent arrest. Concern for personal safety was also independently associated with IDU cessation. The rate of IDU cessation among PWID in Tijuana was low. These findings underscore the importance of expansion of services including OST to help reduce drug use and facilitate IDU cessation for those who wish to do so. In this setting, interventions addressing individual-level economic barriers as well as broader social and structural barriers to harm reduction services are integral. Copyright © 2018 Elsevier B.V. All rights reserved.
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Clinical Predictors of Hospital Admission in Children Aged 0-24 Months with Acute Bronchiolitis
Directory of Open Access Journals (Sweden)
Nucksheeba Aziz
2015-03-01
Full Text Available BACKGROUND Bronchiolitis is a significant cause of acute morbidity in children less than 2 years old and some children with bronchiolitis are admitted to the hospital. AIMS AND OBJECTIVES To identify clinical predictors of hospital admission in children aged 0-24 months with acute bronchiolitis. METHODS: All children in the age group of 0-24 months presenting with acute bronchiolitis to a dedicated pediatric emergency department of GB pant cantonment children hospital, Govt Medical College Srinagar, from April 2012-March 2013 were included in the study, provided they met the inclusion criteria. Non-parametric numerical variables were analyzed using Mann Whitney u test. Chi square was used to analyzecategorical variables, p value < 0.05 was considered significant. RESULTS: 763(552(72.3% male, mean age 8.52+/- 3.59 months children (0-24months presented with acute bronchiolitis during the study period. 435(313 (72% male, mean age 6.69+/-3.8 monthspatients were admitted to the hospital. The eight best predictors of admission (age, respiratory rate, heart rate, oxygen saturation, fever, grunt, dehydration and duration of symptoms were determined. CONCLUSION:This study has identified clinical predictors of admission in children aged 0-24 months with acute bronchiolitis. This information can be used as a guide in deciding whether to admit a child with bronchiolitis.
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Toward an Understanding of Dimensions, Predictors, and the Gender Gap in Written Composition
Kim, Young-Suk; Al Otaiba, Stephanie; Wanzek, Jeanne; Gatlin, Brandy
2015-01-01
We had 3 aims in the present study: (a) to examine the dimensionality of various evaluative approaches to scoring writing samples (e.g., quality, productivity, and curriculum-based measurement [CBM] writing scoring), (b) to investigate unique language and cognitive predictors of the identified dimensions, and (c) to examine gender gap in the…
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A Longitudinal Study of PTSD in the Elderly Bereaved: Prevalence and Predictors
DEFF Research Database (Denmark)
O'Connor, Maja
2010-01-01
This study aimed to investigate the PTSD-frequency in elderly bereaved people across the first 18 months of bereavement. Additionally, risk factors for the prediction of bereavement outcome in relation to four domains of the bereavement process were investigated. Data was collected via self...... one significant loss (N=276, Mean=70 years). The PTSD-frequency within the sample was high (16%) compared to the control group (4%) and remained stable across time. Individually analyzed each domain was a predictor of PTSD 18 months post loss. Most predictors remained stable across time......, remains so over the first 18 months post bereavement, and underline the importance of further investigation of PTSD in the elderly bereaved....
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Santaguida, Pasqualina; Oremus, Mark; Walker, Kathryn; Wishart, Laurie R; Siegel, Karen Lohmann; Raina, Parminder
2012-04-01
A "review of reviews" was undertaken to assess methodological issues in studies evaluating nondrug rehabilitation interventions in stroke patients. MEDLINE, CINAHL, PsycINFO, and the Cochrane Database of Systematic Reviews were searched from January 2000 to January 2008 within the stroke rehabilitation setting. Electronic searches were supplemented by reviews of reference lists and citations identified by experts. Eligible studies were systematic reviews; excluded citations were narrative reviews or reviews of reviews. Review characteristics and criteria for assessing methodological quality of primary studies within them were extracted. The search yielded 949 English-language citations. We included a final set of 38 systematic reviews. Cochrane reviews, which have a standardized methodology, were generally of higher methodological quality than non-Cochrane reviews. Most systematic reviews used standardized quality assessment criteria for primary studies, but not all were comprehensive. Reviews showed that primary studies had problems with randomization, allocation concealment, and blinding. Baseline comparability, adverse events, and co-intervention or contamination were not consistently assessed. Blinding of patients and providers was often not feasible and was not evaluated as a source of bias. The eligible systematic reviews identified important methodological flaws in the evaluated primary studies, suggesting the need for improvement of research methods and reporting. Copyright © 2012 Elsevier Inc. All rights reserved.
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Illicit substance use among adolescents: a matrix of prospective predictors.
Petraitis, J; Flay, B R; Miller, T Q; Torpy, E J; Greiner, B
1998-11-01
This paper reviews findings from 58 prospective studies of illicit substance use (ISU) among adolescents. It arranges 384 findings according to three types of influence (viz., social, attitudinal, and intrapersonal) and four levels of influence (viz., ultimate, distal, proximal, and immediate). The bulk of evidence reconfirms the importance of several predictors of ISU (e.g., intentions and prior substance-related behavior, friendship patterns and peer behaviors, absence of supportive parents, psychological temperament), reveals that a few variables thought to be well-established predictors may not be (e.g., parental behaviors, parental permissiveness, depression, low self-esteem), and uncovers several variables where findings were either sparse or inconsistent (e.g., the role of public policies concerning ISU, mass media depictions of ISU, certain parenting styles, affective states, perceptions of parental disapproval for ISU, and substance-specific refusal skills). Directions for future research are discussed.
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Predictors of stethoscope disinfection among pediatric health care providers.
Muniz, Jeanette; Sethi, Rosh K V; Zaghi, Justin; Ziniel, Sonja I; Sandora, Thomas J
2012-12-01
Stethoscopes are contaminated with bacteria, but predictors of stethoscope disinfection frequency are unknown. We sought to describe health care provider stethoscope disinfection attitudes and practices and determine predictors of frequent disinfection. We used an anonymous online survey of nurses, nurse practitioners, and physicians at a pediatric hospital. We assessed frequency and methods of disinfection, perceptions of contamination, and barriers to disinfection. Multivariate logistic regression models were used to identify independent predictors of disinfecting after every use. One thousand four hundred one respondents completed the survey: 76% believed that infection transmission occurs via stethoscopes, but only 24% reported disinfecting after every use. In multivariate analyses, belief that infection transmission occurs via stethoscopes significantly increased the odds of disinfection after every use (odds ratio [OR], 2.06 [95% confidence interval (CI): 1.38-3.06]). The odds of disinfection after every use were significantly decreased in those who perceived the following barriers: lack of time (OR, 0.31 [95% CI: 0.18-0.54]), lack of access to disinfection material (OR, 0.41 [95% CI: 0.29-0.57]), or lack of visual reminders to disinfect (OR, 0.22 [95% CI: 0.14-0.34]). Only a minority of pediatric health care providers reported disinfecting their stethoscopes after every use. Increasing access to disinfection materials and visual reminders in health care facilities may improve stethoscope disinfection practices. Copyright © 2012 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Mosby, Inc. All rights reserved.
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Predictors of nonadherence with blood pressure regimens in hemodialysis
Directory of Open Access Journals (Sweden)
Kauric-Klein Z
2013-09-01
Full Text Available Zorica Kauric-KleinCollege of Nursing, Wayne State University, Detroit, MI, USABackground: Hypertension is very poorly controlled in patients on hemodialysis (HD. Demographic and psychosocial predictors of nonadherence with blood pressure (BP regimens in HD have not been investigated. A study of 118 HD patients from six outpatient HD units was conducted to determine the relationship between demographic/psychosocial factors and adherence with BP-related regimens, ie, fluid restriction, BP medication adherence, and HD treatment adherence.Methods: Descriptive statistics, Pearson correlations, and multiple regressions were conducted to analyze and determine the relationships between variables.Results: Younger age was related to increased fluid gains (r = -0.37, P < 0.01, decreased medication adherence (r = -0.19, P = 0.04, increased missed HD treatments (r = -0.37, P < 0.01, and diastolic BP (r = -0.60, P < 0.01. Female sex was significantly related to decreased fluid gains (r = -0.28, P < 0.01. Race was related to increased missed HD treatments (r = 0.22, P = 0.02. Increased social support was related to decreased missed HD treatments (r = -0.22, P = 0.02. Depression scores were inversely related to decreased medication adherence scores (r = 0.24, P = 0.01.Conclusion: By identifying risk factors for nonadherence with BP-related regimens (young age, male sex, decreased social support, and depression, health care providers can plan early clinical intervention to minimize the risk of nonadherence.Keywords: nonadherence, hemodialysis, blood pressure, demographic predictors, psychosocial predictors
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Predictors of employer satisfaction: technical and non-technical skills.
Danielson, Jared A; Wu, Tsui-Feng; Fales-Williams, Amanda J; Kirk, Ryan A; Preast, Vanessa A
2012-01-01
Employers of 2007-2009 graduates from Iowa State University College of Veterinary Medicine were asked to respond to a survey regarding their overall satisfaction with their new employees as well as their new employees' preparation in several technical and non-technical skill areas. Seventy-five responses contained complete data and were used in the analysis. Four technical skill areas (data collection, data interpretation, planning, and taking action) and five non-technical skill areas (interpersonal skills, ability to deal with legal issues, business skills, making referrals, and problem solving) were identified. All of the skill area subscales listed above had appropriate reliability (Cronbach's alpha>0.70) and were positively and significantly correlated with overall employer satisfaction. Results of two simultaneous regression analyses indicated that of the four technical skill areas, taking action is the most salient predictor of employer satisfaction. Of the five non-technical skill areas, interpersonal skills, business skills, making referrals, and problem solving were the most important skills in predicting employer satisfaction. Hierarchical regression analysis revealed that all technical skills explained 25% of the variation in employer satisfaction; non-technical skills explained an additional 42% of the variation in employer satisfaction.
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Exploring the key predictors of retention in emergency nurses.
Sawatzky, Jo-Ann V; Enns, Carol L
2012-07-01
To explore the factors that predict the retention of nurses working in emergency departments. The escalating shortage of nurses is one of the most critical issues facing specialty areas, such as the emergency department. Therefore, it is important to identify the key influencing and intermediary factors that affect emergency department nurses' intention to leave. As part of a larger study, a cross-sectional survey was completed by 261 registered nurses working in the 12 designated emergency departments within rural, urban community and tertiary hospitals in Manitoba, Canada. Twenty-six per cent of the respondents will probably/definitely leave their current emergency department jobs within the next year. Engagement was the key predictor of intention to leave (P burnout (P nursing management, professional practice, collaboration with physicians, staffing resources and shift work emerged as significant influencing factors for engagement. Engagement plays a central role in emergency department nurses intention to leave. Addressing the factors that influence engagement may reduce emergency department nurses' intention to leave. This study highlights the value of research-based evidence as the foundation for developing innovative strategies for the retention of emergency department nurses. © 2012 Blackwell Publishing Ltd.
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Predictors of Readmission after Inpatient Plastic Surgery
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Umang Jain
2014-03-01
Full Text Available Background Understanding risk factors that increase readmission rates may help enhance patient education and set system-wide expectations. We aimed to provide benchmark data on causes and predictors of readmission following inpatient plastic surgery. Methods The 2011 National Surgical Quality Improvement Program dataset was reviewed for patients with both "Plastics" as their recorded surgical specialty and inpatient status. Readmission was tracked through the "Unplanned Readmission" variable. Patient characteristics and outcomes were compared using chi-squared analysis and Student's t-tests for categorical and continuous variables, respectively. Multivariate regression analysis was used for identifying predictors of readmission. Results A total of 3,671 inpatient plastic surgery patients were included. The unplanned readmission rate was 7.11%. Multivariate regression analysis revealed a history of chronic obstructive pulmonary disease (COPD (odds ratio [OR], 2.01; confidence interval [CI], 1.12-3.60; P=0.020, previous percutaneous coronary intervention (PCI (OR, 2.69; CI, 1.21-5.97; P=0.015, hypertension requiring medication (OR, 1.65; CI, 1.22-2.24; P<0.001, bleeding disorders (OR, 1.70; CI, 1.01-2.87; P=0.046, American Society of Anesthesiologists (ASA class 3 or 4 (OR, 1.57; CI, 1.15-2.15; P=0.004, and obesity (body mass index ≥30 (OR, 1.43; CI, 1.09-1.88, P=0.011 to be significant predictors of readmission. Conclusions Inpatient plastic surgery has an associated 7.11% unplanned readmission rate. History of COPD, previous PCI, hypertension, ASA class 3 or 4, bleeding disorders, and obesity all proved to be significant risk factors for readmission. These findings will help to benchmark inpatient readmission rates and manage patient and hospital system expectations.
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Sex differences in predictors of violent and non-violent juvenile offending.
Stephenson, Zoe; Woodhams, Jessica; Cooke, Claire
2014-01-01
In response to concerns regarding the rise in female juvenile violent crime and the dearth of gender-specific research, this study aimed to identify predictors of violent offending in female offenders. Data were extracted from risk assessments of 586 male and female juvenile offenders (aged 11-17 years) conducted between 2005 and 2009 by the Youth Offending Service in Gloucestershire, an English county. Information regarding the young people's living arrangements, family and personal relationships, education, emotional/mental health, thinking and behavior, and attitudes to offending was recorded. Comparisons were made between the violent male offenders (N = 185), the violent female offenders (N = 113), the non-violent male offenders (N = 150), and the non-violent female offenders (N = 138) for these variables. These were followed by a multinomial logistic regression analysis. The findings indicated that engaging in self-harm was the best predictor of being a female violent offender, with the predictors of giving into pressure from others and attempted suicide nearing significance. Furthermore, non-violent females were significantly less likely to lose control of their temper and more likely to give in to pressure from others than their violent counterparts. Non-violent males were significantly less likely to lose control of their temper and more likely to self-harm and give in to pressure from others than violent males. Although many similarities existed between sexes for predictors of violent offending, the findings of this study indicate that more attention needs to be paid to the mental health of female offenders. © 2013 Wiley Periodicals, Inc.
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The Predictors of Graduation: Social Skills, Mental Health, Academic Characteristics
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Alessandra Salina Brandão
Full Text Available Abstract: Not completing the undergraduate course in the time expected in the curricula can put the universities and students at a disadvantage, with a delay to enter the labor market. The aim was to identify predictors of graduation, considering social skills, mental health, initial academic performance and socio-demographic and academic characteristics. In total, 287 students participated, of both genders and fromthe humanities, exact and biological areas, who answered the instruments: Social Skills, Behaviors and Context Assessment Questionnaire for University Students, Short version of the Social Phobia Inventory, Beck Depression Inventory, and Structured Clinical Interview for DSM-IV. Predictors were: female, humanities area and average or above-average initial academic performance. The social skills and mental health differentiated the groups in the univariate analyses. This data suggests a need for attention to academic performance in the initial stages of the course, and preventive measures for male students of the exact and biological areas.
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Hegeman, Judith; Nienhuis, Bart; van den Bemt, Bart; Weerdesteyn, Vivian; van Limbeek, Jacques; Duysens, Jacques
2011-04-01
Accidental falls in older individuals are a major health and research topic. Increased reaction time and impaired postural balance have been determined as reliable predictors for those at risk of falling and are important functions of the central nervous system (CNS). An essential risk factor for falls is medication exposure. Amongst the medications related to accidental falls are the non-steroidal anti-inflammatory drugs (NSAIDs). About 1-10% of all users experience CNS side effects. These side effects, such as dizziness, headaches, drowsiness, mood alteration, and confusion, seem to be more common during treatment with indomethacin. Hence, it is possible that maintenance of (static) postural balance and swift reactions to stimuli are affected by exposure to NSAIDs, indomethacin in particular, consequently putting older individuals at a greater risk for accidental falls. The present study investigated the effect of a high indomethacin dose in healthy middle-aged individuals on two important predictors of falls: postural balance and reaction time. Twenty-two healthy middle-aged individuals (59.5 ± 4.7 years) participated in this double-blind, placebo-controlled, randomized crossover trial. Three measurements were conducted with a week interval each. A measurement consisted of postural balance as a single task and while concurrently performing a secondary cognitive task and reaction time tasks. For the first measurement indomethacin 75 mg (slow-release) or a visually identical placebo was randomly assigned. In total, five capsules were taken orally in the 2.5 days preceding assessment. The second measurement was without intervention, for the final one the first placebo group got indomethacin and vice versa. Repeated measures GLM revealed no significant differences between indomethacin, placebo, and baseline in any of the balance tasks. No differences in postural balance were found between the single and dual task conditions, or on the performance of the dual task
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Risk indicators and risk predictors of dental caries in schoolchildren
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Elaine Pereira da Silva Tagliaferro
2008-12-01
Full Text Available The purpose of this study was to identify risk indicators of high caries level at baseline (HCLB based on cross-sectional data and predictors of high caries increment (HCI based on a 7-year-follow-up examination in 6-8-year-old schoolchildren. Two hundred and six schoolchildren were examined in 1997 and in 2004 by the same two calibrated dentists, in Piracicaba, Brazil. At baseline, dental caries, presence of sealants, fluorosis, and oral hygiene status were recorded. The children's parents completed a questionnaire concerning socioeconomic level, fluoride use, dental service utilization, dietary and oral hygiene habits. HCLB and HCI were defined considering the upper quartile of the total caries experience distribution (dmfs+DMFS and caries increment distribution, respectively. Logistic regression models were adjusted estimating the Odds Ratio (OR, 95% confidence intervals and p-values. Having white spot lesions (OR=5.25 was found to be a risk indicator of HCLB. Schoolchildren with dental fluorosis (OR=0.17 or those who brushed the teeth more than two times a day (OR=0.37 presented less probability of HCLB. The predictors of HCI were: dmfs>0 (OR=2.68 and mothers' educational level up to 8 years of schooling (OR=2.87. Clinical and socioeconomic variables were found to be risk indicators and/or predictors of dental caries in schoolchildren.
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Donker, T.; Batterham, P.J.; Warmerdam, L.; Bennett, K.; Bennett, A.; Cuijpers, P.; Griffiths, K.M.
2013-01-01
Background: By identifying which predictors and moderators lead to beneficial outcomes, accurate selection of the best initial treatment will have significant benefits for depressed individuals. Method: An automated, fully self-guided randomized controlled internet-delivered noninferiority trial was
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Predictors of justice system involvement: Maltreatment and education.
Robertson, Angela A; Walker, Courtney S
2018-02-01
Decades of research have established that experience of abuse and/or neglect in childhood is related to negative outcomes, such as juvenile delinquency. Existing research has shown that involvement in child welfare services is also related to juvenile delinquency, particularly for children who are victims of neglect. Research has also identified educational factors such as chronic absenteeism as significant predictors of involvement in the juvenile justice system. However, little research has investigated the combined influence of educational factors, child abuse, and involvement in child protective services on justice system involvement. The current study examined the influence of educational factors and involvement in child protective services on justice system involvement. The study utilized records from an educational database of children who attended a school within a county of Mississippi in any year from 2003 through 2013. Cases were then matched with records from the county Youth Court, Law Enforcement agencies, and Child Protection Services. A multivariate logistic regression controlling for gender, race, current age, and time at risk was conducted to involvement in the justice system. In general, educational factors were stronger predictors of justice system involvement than allegations of maltreatment. Copyright © 2017 Elsevier Ltd. All rights reserved.
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Predictor-Year Subspace Clustering Based Ensemble Prediction of Indian Summer Monsoon
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Moumita Saha
2016-01-01
Full Text Available Forecasting the Indian summer monsoon is a challenging task due to its complex and nonlinear behavior. A large number of global climatic variables with varying interaction patterns over years influence monsoon. Various statistical and neural prediction models have been proposed for forecasting monsoon, but many of them fail to capture variability over years. The skill of predictor variables of monsoon also evolves over time. In this article, we propose a joint-clustering of monsoon years and predictors for understanding and predicting the monsoon. This is achieved by subspace clustering algorithm. It groups the years based on prevailing global climatic condition using statistical clustering technique and subsequently for each such group it identifies significant climatic predictor variables which assist in better prediction. Prediction model is designed to frame individual cluster using random forest of regression tree. Prediction of aggregate and regional monsoon is attempted. Mean absolute error of 5.2% is obtained for forecasting aggregate Indian summer monsoon. Errors in predicting the regional monsoons are also comparable in comparison to the high variation of regional precipitation. Proposed joint-clustering based ensemble model is observed to be superior to existing monsoon prediction models and it also surpasses general nonclustering based prediction models.
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Gambling Disorder: Exploring Pre-treatment and In-treatment Dropout Predictors. A UK Study.
Ronzitti, Silvia; Soldini, Emiliano; Smith, Neil; Clerici, Massimo; Bowden-Jones, Henrietta
2017-12-01
The aim of this study was to identify predictors of treatment dropout in a sample of gamblers attending a specialist clinic for gambling disorder. We analysed data on 846 treatment-seeking pathological gamblers. Firstly, we investigated differences in socio-demographic and clinical variables between treatment completers and pre-treatment dropouts, as well as between treatment completers and during-treatment dropouts. Subsequently, variables were entered into a multinomial logistic regression model to identify significant predictors of pre-treatment and in-treatment dropout. Overall, 44.8% of clients did not complete the treatment: 27.4% dropped out before starting it, while 17.4% dropped out during the treatment. Younger age and use of drugs were associated with pre-treatment dropout, while family history of gambling disorder, a lower PGSI score, and being a smoker were related with in-treatment dropout. Our findings suggest that pre-treatment dropouts differ from in-treatment dropouts, and, thus, further research will benefit from considering these groups separately. In addition, this newly gained knowledge will also be helpful in increasing treatment retention in specific subgroups of problem gamblers.
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Predictors of anxiety and depression in Egyptian thalassemic patients: a single center study.
Yahia, Sohier; El-Hadidy, Mohamed Adel; El-Gilany, Abdel-Hady; Anwar, Rokiah; Darwish, Ahmad; Mansour, A K
2013-05-01
Thalassemic patients are vulnerable to emotional and behavioral problems. Each patient age group exhibits problems unique to that stage of development, and although up to 80 % of thalassemic patients are likely to have psychological disorders, e.g., anxiety and depression, predictors of these disorders remain poorly understood. The present study was designed to assess the prevalence of anxiety and depression in a sample of Egyptian thalassemic patients and to identify predictors of these psychiatric disorders. A case-control study was conducted in 218 thalassemic patients, with 244 healthy subjects as a control. All patients and control subjects were subjected to thorough evaluation of medical history and clinical examination, and examined by a psychiatrist using the clinician version of the structured clinical interview for DSM-IV (SCID-CV), hospital anxiety and depression scale and Coopersmith self-esteem inventory. Abnormal and borderline anxieties were reported by 36.7 and 20.6 % of thalassemic patients, respectively, while abnormal and borderline depressions were reported by 32.1 and 16.1 % of patients, respectively. Hospitalization, low self-esteem, diabetes mellitus and heart failure were independent predictors of anxiety. The independent predictors of depression were heart failure, hospitalization, diabetes mellitus, short stature and delayed puberty. Thalassemic patients were more vulnerable to anxiety and depression, indicating that screening and management for such psychiatric disorders should be considered in treating all such patients.
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Morley, David; Dummett, Sarah; Kelly, Laura; Fitzpatrick, Ray; Jenkinson, Crispin
2018-02-17
Comparisons between neurological conditions have the potential to inform service providers by identifying particular areas of difficulty experienced by affected individuals. This study aimed to identify predictors of activity and participation in people with motor neurone disease (MND), people with multiple sclerosis (MS) and people with Parkinson's Disease (PD). The Oxford Participation and Activities Questionnaire (Ox-PAQ) and Medical Outcomes Study 36-Item Short Form Survey (MOS SF-36) were administered by postal survey to 386 people with a confirmed diagnosis of MND, MS or PD. Data analyses focused on stepwise regression analyses in order to identify predictors of activity and participation in the three conditions assessed. Three hundred and thirty four participants completed the survey, a response rate of 86.5%. Regression analyses identified multiple predictors of activity and participation dependent on Ox-PAQ domain and disease group, the most prominent being social and physical functioning as measured by the MOS SF-36. Results indicate that the physical and social consequences of neurological illness are of greatest relevance to people experiencing the conditions assessed. Whilst the largely inevitable physical implications of disease take hold, emphasis should be placed on the avoidance of social withdrawal and isolation, and the maintenance of social engagement should become a significant priority.
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Read, Emily K; Patil, Vijay P; Oliver, Samantha K; Hetherington, Amy L; Brentrup, Jennifer A; Zwart, Jacob A; Winters, Kirsten M; Corman, Jessica R; Nodine, Emily R; Woolway, R Iestyn; Dugan, Hilary A; Jaimes, Aline; Santoso, Arianto B; Hong, Grace S; Winslow, Luke A; Hanson, Paul C; Weathers, Kathleen C
2015-06-01
Lake water quality is affected by local and regional drivers, including lake physical characteristics, hydrology, landscape position, land cover, land use, geology, and climate. Here, we demonstrate the utility of hypothesis testing within the landscape limnology framework using a random forest algorithm on a national-scale, spatially explicit data set, the United States Environmental Protection Agency's 2007 National Lakes Assessment. For 1026 lakes, we tested the relative importance of water quality drivers across spatial scales, the importance of hydrologic connectivity in mediating water quality drivers, and how the importance of both spatial scale and connectivity differ across response variables for five important in-lake water quality metrics (total phosphorus, total nitrogen, dissolved organic carbon, turbidity, and conductivity). By modeling the effect of water quality predictors at different spatial scales, we found that lake-specific characteristics (e.g., depth, sediment area-to-volume ratio) were important for explaining water quality (54-60% variance explained), and that regionalization schemes were much less effective than lake specific metrics (28-39% variance explained). Basin-scale land use and land cover explained between 45-62% of variance, and forest cover and agricultural land uses were among the most important basin-scale predictors. Water quality drivers did not operate independently; in some cases, hydrologic connectivity (the presence of upstream surface water features) mediated the effect of regional-scale drivers. For example, for water quality in lakes with upstream lakes, regional classification schemes were much less effective predictors than lake-specific variables, in contrast to lakes with no upstream lakes or with no surface inflows. At the scale of the continental United States, conductivity was explained by drivers operating at larger spatial scales than for other water quality responses. The current regulatory practice of using
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Directory of Open Access Journals (Sweden)
Kai Fang
2013-01-01
Full Text Available Purpose. To identify the predictors of visual response to the bevacizumab treatment of neovascular age-related macular degeneration (AMD. Design. A cohort study within the Neovascular AMD Treatment Trial Using Bevacizumab (NATTB. Methods. This was a multicenter trial including 144 participants from the NATTB study. Visual outcomes measured by change in visual acuity (VA score, proportion gaining ≥15 letters, and change in central retinal thickness (CRT were compared among groups according to the baseline, demographic, and ocular characteristics and genotypes. Results. Mean change in the VA score was 9.2 ± 2.3 SD letters with a total of 46 participants (31.9% gaining ≥15 letters. Change in median CRT was −81.5 μm. Younger age, lower baseline VA score, shorter duration of neovascular AMD, and TT genotype in rs10490924 were significantly associated with greater VA score improvement (P=0.028, P<0.001, P=0.02, and P=0.039, resp.. Lower baseline VA score and TT genotype in rs10490924 were significantly associated with a higher likelihood of gaining ≥15 letters (P=0.028, and P=0.021, resp.. Conclusions. Baseline VA and genotype of rs10490924 were both important predictors for visual response to bevacizumab at 6 months. This trial is registered with the Registration no. NCT01306591.
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Davies, Carolyn D; Niles, Andrea N; Pittig, Andre; Arch, Joanna J; Craske, Michelle G
2015-03-01
Identifying for whom and under what conditions a treatment is most effective is an essential step toward personalized medicine. The current study examined pre-treatment physiological and behavioral variables as predictors and moderators of outcome in a randomized clinical trial comparing cognitive behavioral therapy (CBT) and acceptance and commitment therapy (ACT) for anxiety disorders. Sixty individuals with a DSM-IV defined principal anxiety disorder completed 12 sessions of either CBT or ACT. Baseline physiological and behavioral variables were measured prior to entering treatment. Self-reported anxiety symptoms were assessed at pre-treatment, post-treatment, and 6- and 12-month follow-up from baseline. Higher pre-treatment heart rate variability was associated with worse outcome across ACT and CBT. ACT outperformed CBT for individuals with high behavioral avoidance. Subjective anxiety levels during laboratory tasks did not predict or moderate treatment outcome. Due to small sample sizes of each disorder, disorder-specific predictors were not tested. Future research should examine these predictors in larger samples and across other outcome variables. Lower heart rate variability was identified as a prognostic indicator of overall outcome, whereas high behavioral avoidance was identified as a prescriptive indicator of superior outcome from ACT versus CBT. Investigation of pre-treatment physiological and behavioral variables as predictors and moderators of outcome may help guide future treatment-matching efforts. Copyright © 2014 Elsevier Ltd. All rights reserved.
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Directory of Open Access Journals (Sweden)
Allen Tony
2007-05-01
Full Text Available Abstract Background While alcohol-related health and social problems amongst youths are increasing internationally, both consumption and associated harms are particularly high in British youth. Youth drinking patterns, including bingeing, frequent drinking and drinking in public spaces, are associated with increased risks of acute (e.g. violence and long-term (e.g. alcohol-dependence health problems. Here we examine economic, behavioural and demographic factors that predict these risky drinking behaviours among 15–16 year old schoolchildren who consume alcohol. A cross-sectional survey was conducted among schoolchildren in North West England (n = 10,271 using an anonymous questionnaire delivered in school settings. Analysis utilised logistic regression to identify independent predictors of risky drinking behaviour. Results Of all respondents, 87.9% drank alcohol. Of drinkers, 38.0% usually binged when drinking, 24.4% were frequent drinkers and 49.8% drank in public spaces. Binge, frequent and public drinking were strongly related to expendable income and to individuals buying their own alcohol. Obtaining alcohol from friends, older siblings and adults outside shops were also predictors of risky drinking amongst drinkers. However, being bought alcohol by parents was associated with both lower bingeing and drinking in public places. Membership of youth groups/teams was in general protective despite some association with bingeing. Conclusion Although previous studies have examined predictors of risky drinking, our analyses of access to alcohol and youth income have highlighted eradicating underage alcohol sales and increased understanding of children's spending as key considerations in reducing risky alcohol use. Parental provision of alcohol to children in a family environment may also be important in establishing child-parent dialogues on alcohol and moderating youth consumption. However, this will require supporting parents to ensure they
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Directory of Open Access Journals (Sweden)
Cristina McKean
Full Text Available Evidence is required as to when and where to focus resources to achieve the greatest gains for children's language development. Key to these decisions is the understanding of individual differences in children's language trajectories and the predictors of those differences. To determine optimal timing we must understand if and when children's relative language abilities become fixed. To determine where to focus effort we must identify mutable factors, that is those with the potential to be changed through interventions, which are associated with significant differences in children's language scores and rate of progress.Uniquely this study examined individual differences in language growth trajectories in a population sample of children between 4 and 7 years using the multilevel model for change. The influence of predictors, grouped with respect to their mutability and their proximity to the child (least-mutable, mutable-distal, mutable-proximal, were estimated.A significant degree of variability in rate of progress between 4 and 7 years was evident, much of which was systematically associated with mutable-proximal factors, that is, those factors with evidence that they are modifiable through interventions with the child or family, such as shared book reading, TV viewing and number of books in the home. Mutable-distal factors, such as family income, family literacy and neighbourhood disadvantage, hypothesised to be modifiable through social policy, were important predictors of language abilities at 4 years.Potential levers for language interventions lie in the child's home learning environment from birth to age 4. However, the role of a family's material and cultural capital must not be ignored, nor should the potential for growth into the school years. Early Years services should acknowledge the effects of multiple, cascading and cumulative risks and seek to promote child language development through the aggregation of marginal gains in the pre
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Growth and Predictors of Growth Restraint in Moderately Preterm Children Aged 0 to 4 Years
Bocca-Tjeertes, I.F.; Kerstjens, J.M.; Reijneveld, S.A.; de Winter, A.F.; Bos, A.F.
2011-01-01
OBJECTIVE: To describe growth in moderately preterm-born children, determine the prevalence of growth restraint at the age of 4, and identify predictors of growth restraint. We hypothesized that growth in moderately preterm-born children differs from growth in term-born children and that growth
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Directory of Open Access Journals (Sweden)
Elisha R. Frederiks
2015-01-01
Full Text Available This article provides a comprehensive review of theory and research on the individual-level predictors of household energy usage. Drawing on literature from across the social sciences, we examine two broad categories of variables that have been identified as potentially important for explaining variability in energy consumption and conservation: socio-demographic factors (e.g., income, employment status, dwelling type/size, home ownership, household size, stage of family life cycle and psychological factors (e.g., beliefs and attitudes, motives and intentions, perceived behavioral control, cost-benefit appraisals, personal and social norms. Despite an expanding literature, we find that empirical evidence of the impact of these variables has been far from consistent and conclusive to date. Such inconsistency poses challenges for drawing generalizable conclusions, and underscores the complexity of consumer behavior in this domain. In this article, we propose that a multitude of factors—whether directly, indirectly, or in interaction—influence how householders consume and conserve energy. Theory, research and practice can be greatly advanced by understanding what these factors are, and how, when, where, why and for whom they operate. We conclude by outlining some important practical implications for policymakers and directions for future research.
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Predictors of emotional distress in pregnant women: the mediating role of relationship intimacy.
Costa, Eleonora C V; Castanheira, Eva; Moreira, Litícia; Correia, Paulo; Ribeiro, Duarte; Graça Pereira, M
2017-12-15
Assessment and treatment of emotional distress during pregnancy show that worries during pregnancy and interpersonal relationships with partners are the important factors determining psychological health. The present study aimed to investigate the impact of worries during pregnancy, relationship intimacy, and marital satisfaction on anxiety, depression, and stress symptoms in pregnant women, as well as to analyse the mediating effect of relationship intimacy between marital satisfaction and emotional distress. During their second and third trimester of pregnancy, 200 Portuguese women were recruited during childbirth preparation consultations and completed the Cambridge Worry Scale (CWS), the Personal Assessment of Intimacy in Relationships Scale (PAIR), the Marital Life Areas Satisfaction Evaluation Scale (MLASES), and the Depression, Anxiety, and Stress Scale (DASS-21). Hierarchical multiple regression analyses showed that being unemployed or on sick leave, being younger, having a history of miscarriage, having more worries during pregnancy, and declaring low-relationship intimacy were the main predictors of emotional distress. Relationship intimacy mediated the relation of marital satisfaction to anxiety and depression symptoms. This study highlights the importance of the worries during pregnancy and relationship intimacy in shaping pregnant women's emotional distress, and identifies both as targets of intervention.
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Predictors and Outcomes of Dysphagia Screening After Acute Ischemic Stroke.
Joundi, Raed A; Martino, Rosemary; Saposnik, Gustavo; Giannakeas, Vasily; Fang, Jiming; Kapral, Moira K
2017-04-01
Guidelines advocate screening all acute stroke patients for dysphagia. However, limited data are available regarding how many and which patients are screened and how failing a swallowing screen affects patient outcomes. We sought to evaluate predictors of receiving dysphagia screening after acute ischemic stroke and outcomes after failing a screening test. We used the Ontario Stroke Registry from April 1, 2010, to March 31, 2013, to identify patients hospitalized with acute ischemic stroke and determine predictors of documented dysphagia screening and outcomes after failing the screening test, including pneumonia, disability, and death. Among 7171 patients, 6677 patients were eligible to receive dysphagia screening within 72 hours, yet 1280 (19.2%) patients did not undergo documented screening. Patients with mild strokes were significantly less likely than those with more severe strokes to have documented screening (adjusted odds ratio, 0.51; 95% confidence interval [CI], 0.41-0.64). Failing dysphagia screening was associated with poor outcomes, including pneumonia (adjusted odds ratio, 4.71; 95% CI, 3.43-6.47), severe disability (adjusted odds ratio, 5.19; 95% CI, 4.48-6.02), discharge to long-term care (adjusted odds ratio, 2.79; 95% CI, 2.11-3.79), and 1-year mortality (adjusted hazard ratio, 2.42; 95% CI, 2.09-2.80). Associations were maintained in patients with mild strokes. One in 5 patients with acute ischemic stroke did not have documented dysphagia screening, and patients with mild strokes were substantially less likely to have documented screening. Failing dysphagia screening was associated with poor outcomes, including in patients with mild strokes, highlighting the importance of dysphagia screening for all patients with acute ischemic stroke. © 2017 American Heart Association, Inc.
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Directory of Open Access Journals (Sweden)
Rita B Patel
Full Text Available Human infections with highly pathogenic avian influenza (HPAI A (H5N1 viruses have occurred in 15 countries, with high mortality to date. Determining risk factors for morbidity and mortality from HPAI H5N1 can inform preventive and therapeutic interventions.We included all cases of human HPAI H5N1 reported in World Health Organization Global Alert and Response updates and those identified through a systematic search of multiple databases (PubMed, Scopus, and Google Scholar, including articles in all languages. We abstracted predefined clinical and demographic predictors and mortality and used bivariate logistic regression analyses to examine the relationship of each candidate predictor with mortality. We developed and pruned a decision tree using nonparametric Classification and Regression Tree methods to create risk strata for mortality.We identified 617 human cases of HPAI H5N1 occurring between December 1997 and April 2013. The median age of subjects was 18 years (interquartile range 6-29 years and 54% were female. HPAI H5N1 case-fatality proportion was 59%. The final decision tree for mortality included age, country, per capita government health expenditure, and delay from symptom onset to hospitalization, with an area under the receiver operator characteristic (ROC curve of 0.81 (95% CI: 0.76-0.86.A model defined by four clinical and demographic predictors successfully estimated the probability of mortality from HPAI H5N1 illness. These parameters highlight the importance of early diagnosis and treatment and may enable early, targeted pharmaceutical therapy and supportive care for symptomatic patients with HPAI H5N1 virus infection.
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Chen, Zhuowei; Shi, Liangsheng; Ye, Ming; Zhu, Yan; Yang, Jinzhong
2018-06-01
Nitrogen reactive transport modeling is subject to uncertainty in model parameters, structures, and scenarios. By using a new variance-based global sensitivity analysis method, this paper identifies important parameters for nitrogen reactive transport with simultaneous consideration of these three uncertainties. A combination of three scenarios of soil temperature and two scenarios of soil moisture creates a total of six scenarios. Four alternative models describing the effect of soil temperature and moisture content are used to evaluate the reduction functions used for calculating actual reaction rates. The results show that for nitrogen reactive transport problem, parameter importance varies substantially among different models and scenarios. Denitrification and nitrification process is sensitive to soil moisture content status rather than to the moisture function parameter. Nitrification process becomes more important at low moisture content and low temperature. However, the changing importance of nitrification activity with respect to temperature change highly relies on the selected model. Model-averaging is suggested to assess the nitrification (or denitrification) contribution by reducing the possible model error. Despite the introduction of biochemical heterogeneity or not, fairly consistent parameter importance rank is obtained in this study: optimal denitrification rate (Kden) is the most important parameter; reference temperature (Tr) is more important than temperature coefficient (Q10); empirical constant in moisture response function (m) is the least important one. Vertical distribution of soil moisture but not temperature plays predominant role controlling nitrogen reaction. This study provides insight into the nitrogen reactive transport modeling and demonstrates an effective strategy of selecting the important parameters when future temperature and soil moisture carry uncertainties or when modelers face with multiple ways of establishing nitrogen
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Kuerbis, Alexis; Morgenstern, Jon; Hail, Lisa
2012-01-01
Understanding for whom moderated drinking is a viable, achievable, and sustainable goal among those with a range of alcohol use disorders (AUD) remains an important public health question. Despite common acceptance as severe risk factors, there is little empirical evidence to conclude whether co-occurring mental health disorders or drug dependence contribute to an individual’s inability to successfully moderate his drinking. Utilizing secondary data analysis, the purpose of this study was to identify predictors of moderation among both treatment seeking and non-treatment seeking, primarily alcohol dependent, problem drinking men who have sex with men (MSM), with an emphasis on the high risk factors psychiatric comorbidity and drug dependence. Problem drinkers (N=187) were assessed, provided feedback about their drinking, given the option to receive brief AUD treatment or change their drinking on their own, and then followed for 15 months. Findings revealed that neither psychiatric comorbidity or drug dependence predicted ability to achieve moderation when controlling for alcohol dependence severity. Those who were younger, more highly educated, and had more mild alcohol dependence were more likely to achieve moderated drinking. Impact of treatment on predictors is explored. Limitations of this study and arenas for future research are discussed. PMID:22201219
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Impulsivity and hopelessness as predictors of suicide-related ideation among older adults.
Neufeld, Eva; O'Rourke, Norm
2009-10-01
Research has demonstrated that impulsivity is strongly associated with suicide-related ideation and behaviour among young adults. However, to date, the potential importance of impulsivity as a predictor of suicide-related ideation in later life has yet to be determined. Our study examined impulsivity, hopelessness, depressive symptomatology, and sociodemographic factors vis-à-vis suicide-related ideation among older adults at risk of self-harm. A sample (n = 117) of older adults was recruited from multiple sources for this study over a 1-year period. Suicide-related ideation was measured with the Geriatric Suicide Ideation Scale, a multidimensional measure of suicide-related ideation developed for use with older adults. Canonical correlation identified 2 pairings of linear composites in which impulsivity emerged along both as significantly associated with facets of suicide-related ideation. Of note, the greater proportion of variance in impulsivity was subsumed along the second set of vectors with somatic depressive symptoms. Our findings suggest that the impulse to self-harm may be even more pronounced among older adults less likely to present as typically depressed. It is further suggested that impulsivity is more broadly associated with suicide-related ideation than hopelessness, and that screening for impulsivity as well as hopelessness may increase clinicians' ability to identify older adults at greatest risk of self-harm.
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Psychological predictors of the antihypertensive effects of music-guided slow breathing.
Modesti, Pietro Amedeo; Ferrari, Antonella; Bazzini, Cristina; Costanzo, Giusi; Simonetti, Ignazio; Taddei, Stefano; Biggeri, Annibale; Parati, Gianfranco; Gensini, Gian Franco; Sirigatti, Saulo
2010-05-01
The possibility that daily sessions of music-guided slow breathing may reduce 24-h ambulatory blood pressure (ABP), and predictors of efficacy were explored in a randomized, placebo-controlled trial with parallel design. Age-matched and sex-matched hypertensive patients were randomized to music-guided slow breathing exercises (4-6 breaths/min; 1: 2 ratio of inspiration: expiration duration) (Intervention; n = 29) or to control groups who were thought to relax while either listening to slow music (Control-M; n = 26) or reading a book (Control-R; n = 31). At baseline and at follow-up visits (1 week and 1, 3 and 6 months), ABP monitoring was performed. At mixed model analysis, intervention was associated with a significant reduction of 24-h (P = 0.001) and night-time (0100-0600 h) (P music-guided slow breathing significantly reduce 24-h systolic ABP, and psychological predictors of efficacy can be identified.
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Predictors of Sleep Quality Among Young Adults in Korea: Gender Differences.
Chang, Ae Kyung; Choi, Jinyi
2016-12-01
This study was performed to identify the factors influencing gender differences in sleep quality between men and women. A cross-sectional survey was conducted using a convenience sample of 300 young adults from three Korean universities. Participants were 20-40 years of age, used smartphones, and took no sleep medication. Participants completed questionnaires on sleep quality, exercise, stress, depression, and smart phone addiction. The predictors of sleep quality in men were coffee consumption, napping, depression, failure to engage in light exercise at least three times per week, being overweight, being in the potential smart phone addiction group, and being employed, which explained 30.2% of the variance. The predictors of sleep quality in women were education to college level or higher, smoking, and stress, which explained 30.5% of the variance. To improve sleep quality in this population, future intervention should contain life style modification strategies containing smartphone addiction prevention.
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Obesity Might Be a Predictor of Weight Reduction after Smoking Cessation
DEFF Research Database (Denmark)
Pisinger, Charlotta; Nielsen, Helle Øster; Kuhlmann, Caroline
2017-01-01
Background and Objectives: Approximately one in five ex-smokers reduces or maintains weight after smoking cessation but little is known about who succeeds to avoid weight gain. The purpose of this study was to identify predictors of weight reduction after long-term smoking cessation in a general...... population. Methods: Data was obtained from two Danish population-based cohorts (the Inter99 and the Helbred2006 study). Anthropometric measurements were performed by trained research staff. Out of 3.577 daily smokers at baseline 317 participants had quit smoking at the five-year follow-up for at least one...... year. Multiple logistic regression analysis was performed to determine predictors of weight reduction. Results: Thirteen percent reduced weight by at least 1 kg and 4% maintained their weight. Quitters with obesity had more than seven times higher odds than normal weight quitters to lose weight (OR 7...
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Stapanian, Martin A.; Gara, Brian; Schumacher, William
2018-01-01
The loss of wetland habitats and their often-unique biological communities is a major environmental concern. We examined vegetation data obtained from 380 wetlands sampled in a statistical survey of wetlands in the USA. Our goal was to identify which surrounding land cover types best predict two indices of vegetation quality in wetlands at the regional scale. We considered palustrine wetlands in four regions (Coastal Plains, North Central East, Interior Plains, and West) in which the dominant vegetation was emergent, forested, or scrub-shrub. For each wetland, we calculated weighted proportions of eight land cover types surrounding the area in which vegetation was assessed, in four zones radiating from the edge of the assessment area to 2 km. Using Akaike's Information Criterion, we determined the best 1-, 2- and 3-predictor models of the two indices, using the weighted proportions of the land cover types as potential predictors. Mean values of the two indices were generally higher in the North Central East and Coastal Plains than the other regions for forested and emergent wetlands. In nearly all cases, the best predictors of the indices were not the dominant surrounding land cover types. Overall, proportions of forest (positive effect) and agriculture (negative effect) surrounding the assessment area were the best predictors of the two indices. One or both of these variables were included as predictors in 65 of the 72 models supported by the data. Wetlands surrounding the assessment area had a positive effect on the indices, and ranked third (33%) among the predictors included in supported models. Development had a negative effect on the indices and was included in only 28% of supported models. These results can be used to develop regional management plans for wetlands, such as creating forest buffers around wetlands, or to conserve zones between wetlands to increase habitat connectivity.
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Food choice motives and the importance of family meals among immigrant mothers.
Marquis, Marie; Shatenstein, Bryna
2005-01-01
To determine the health and social benefits of the family mealtime, we examined the contribution of immigrant mothers' food motives to the importance placed on family meals, and cultural differences in mothers' food motives and the importance ascribed to family meals. Data were taken from a study on food choice factors among ten- to 12-year-old children from three cultural communities in Montreal. A 24-item, self-administered questionnaire was used to explore food choice motives. Each mother was also asked how important it was for her family to take the time to eat together, and if the child enjoyed sharing meals with his or her family. In all, 209 of the 653 questionnaires distributed were valid; 68 were from Haitian, 75 from Portuguese, and 66 from Vietnamese mothers. Five factors emerging from factor analyses explained 61.67% of the variance. Analysis of variance indicated significant differences between mothers' countries of origin for the importance placed on health, pleasure, familiarity, and ingredient properties (pmotivations emerged as the only significant predictor of the importance given to family meals, whereas for Vietnamese mothers, both health and eating familiar foods were predictors (p<0.05).
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Cognitive Predictors of Everyday Problem Solving across the Lifespan.
Chen, Xi; Hertzog, Christopher; Park, Denise C
2017-01-01
An important aspect of successful aging is maintaining the ability to solve everyday problems encountered in daily life. The limited evidence today suggests that everyday problem solving ability increases from young adulthood to middle age, but decreases in older age. The present study examined age differences in the relative contributions of fluid and crystallized abilities to solving problems on the Everyday Problems Test (EPT). We hypothesized that due to diminishing fluid resources available with advanced age, crystallized knowledge would become increasingly important in predicting everyday problem solving with greater age. Two hundred and twenty-one healthy adults from the Dallas Lifespan Brain Study, aged 24-93 years, completed a cognitive battery that included measures of fluid ability (i.e., processing speed, working memory, inductive reasoning) and crystallized ability (i.e., multiple measures of vocabulary). These measures were used to predict performance on EPT. Everyday problem solving showed an increase in performance from young to early middle age, with performance beginning to decrease at about age of 50 years. As hypothesized, fluid ability was the primary predictor of performance on everyday problem solving for young adults, but with increasing age, crystallized ability became the dominant predictor. This study provides evidence that everyday problem solving ability differs with age, and, more importantly, that the processes underlying it differ with age as well. The findings indicate that older adults increasingly rely on knowledge to support everyday problem solving, whereas young adults rely almost exclusively on fluid intelligence. © 2017 S. Karger AG, Basel.
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Unique genetic loci identified for emotional behavior in control and chronic stress conditions
Carhuatanta, Kimberly A. K.; Shea, Chloe J. A.; Herman, James P.; Jankord, Ryan
2014-01-01
An individual's genetic background affects their emotional behavior and response to stress. Although studies have been conducted to identify genetic predictors for emotional behavior or stress response, it remains unknown how prior stress history alters the interaction between an individual's genome and their emotional behavior. Therefore, the purpose of this study is to identify chromosomal regions that affect emotional behavior and are sensitive to stress exposure. We utilized the BXD behav...
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Directory of Open Access Journals (Sweden)
Nicoline Ondari-Okemwa
2011-01-01
Full Text Available This article discusses the strategic importance of identifying intangible assets for creating value and enhancing competitiveness and innovation in science and technology in a knowledge economy with particular reference to the sub- Saharan Africa region. It has always been difficult to gather the prerequisite information to manage such assets and create value from them. The paper discusses the nature of intangible assets, the characteristics of a knowledge economy and the role of knowledge workers in a knowledge economy. The paper also discusses the importance of identifying intangible assets in relation to capturing the value of such assets, the transfer of intangible assets to other owners and the challenges of managing organizational intangible assets. Objectives of the article include: underscoring the strategic importance of identifying intangible assets in sub-Saharan Africa; examining the performance of intangible assets in a knowledge economy; how intangible assets may generate competitiveness, economic growth and innovation; and assess how knowledge workers are becoming a dominant factor in the knowledge economy. An extensive literature review was employed to collect data for this article. It is concluded in the article that organizations and governments in sub-Saharan Africa should look at knowledge-based assets as strategic resources, even though the traditional accounting systems may still be having problems in determining the exact book value of such assets. It is recommended that organizations and government departments in sub-Saharan Africa should implement a system of the reporting of the value of intangible organizational assets just like the reporting of the value of tangible assets; and that organizations in sub-Saharan Africa should use knowledge to produce “smart products and services” which command premium prices.
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Directory of Open Access Journals (Sweden)
Anahit Demirchyan
2015-09-01
Full Text Available Long-term prospective studies exploring general health outcomes among disaster survivors are rare. Self-rated health (SRH – a proven correlate of morbidity and mortality prognosis – was used to investigate predictors of perceived health status among a 23-year cohort of survivors of 1988 Spitak earthquake in Armenia. A geographically-stratified subsample of 725 adults from a larger initial cohort was followed during the period of 1990–2012. A logistic regression model identified predictors of SRH. Adjusted relative risks for the long-term predictors of SRH were calculated. The rate of poor SRH among the survivors was 18.8%, fair 56.5%, and good/excellent 24.7%. In the fitted model, long-term risk factors of poor SRH included baseline body mass index, baseline multi-morbidity, number of experienced stressful life events, and perceived poor living standards during the post-earthquake decade, while participation in sports in the early 1990s was a protective factor. Short-term protective factors included socio-economic status score, social support, employment and dignity, while current household size was a risk factor for poor SRH. No association was found between earthquake exposure severity and SRH after 23 years. However, the identified predictors included a number of modifiable lifestyle, material and psychological factors. Thus, interventions targeting these factors could have a long-lasting impact on disaster victims’ health status.
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Predictors of frequent exacerbations in (ex)smoking and never smoking adults with severe asthma
Westerhof, Guus A.; de Groot, Jantina C.; Amelink, Marijke; de Nijs, Selma B.; ten Brinke, Anneke; Weersink, Els J.; Bel, Elisabeth H.
2016-01-01
Persistent eosinophilic airway inflammation is an important driver for asthma exacerbations in non-smokers with asthma. Whether eosinophilic inflammation is also a predictor of asthma exacerbations in (ex)smokers is not known. The aim was to investigate factors associated with frequent exacerbations
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Incidence and predictors of end-stage renal disease in outpatients with systolic heart failure
DEFF Research Database (Denmark)
Bosselmann, Helle; Gislason, Gunnar; Gustafsson, Finn
2013-01-01
Background- Renal dysfunction is an important prognostic factor in heart failure (HF), but whether this dysfunction progresses to end-stage renal disease (ESRD) is unknown. Therefore, we examined incidence and predictors of ESRD in outpatients with HF. Methods and Results- Patients with systolic ...
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Grades and Graduation: A Longitudinal Risk Perspective to Identify Student Dropouts
Bowers, Alex J.
2010-01-01
Studies of student risk of school dropout have shown that present predictors of at-risk status do not accurately identify a large percentage of students who eventually drop out. Through the analysis of the entire Grade 1-12 longitudinal cohort-based grading histories of the class of 2006 for two school districts in the United States, the author…
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Directory of Open Access Journals (Sweden)
Wojciszke Bogdan
2014-12-01
Full Text Available Two hypotheses concerning the relative importance of agentic versus communal traits as predictors of selfesteem were tested. The perspective hypothesis assumed that self-esteem is dominated by agency over communion because self-perceptions are formed from the agent (versus recipient perspective. The culture hypothesis assumed that self-esteem is dominated by communal concerns in collectivistic cultures and by agentic concerns in individualistic cultures (echoed by individual differences in self-construal. Study 1 involving three samples from collectivistic countries and three from individualistic ones found that self-esteem was better predicted from self-ratings of agentic than communal traits, with the exception of collectivistic women for whom the two predictors were equal. Study 2 primed the interdependent or independent self and found self-ratings of agency to be better predictors of self-esteem than self-ratings of communion, with the exception of interdependence priming,where the two predictors were equal in strength.
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Cost sharing and hereditary cancer risk: predictors of willingness-to-pay for genetic testing.
Matro, Jennifer M; Ruth, Karen J; Wong, Yu-Ning; McCully, Katen C; Rybak, Christina M; Meropol, Neal J; Hall, Michael J
2014-12-01
Increasing use of predictive genetic testing to gauge hereditary cancer risk has been paralleled by rising cost-sharing practices. Little is known about how demographic and psychosocial factors may influence individuals' willingness-to-pay for genetic testing. The Gastrointestinal Tumor Risk Assessment Program Registry includes individuals presenting for genetic risk assessment based on personal/family cancer history. Participants complete a baseline survey assessing cancer history and psychosocial items. Willingness-to-pay items include intention for: genetic testing only if paid by insurance; testing with self-pay; and amount willing-to-pay ($25-$2,000). Multivariable models examined predictors of willingness-to-pay out-of-pocket (versus only if paid by insurance) and willingness-to-pay a smaller versus larger sum (≤$200 vs. ≥$500). All statistical tests are two-sided (α = 0.05). Of 385 evaluable participants, a minority (42%) had a personal cancer history, while 56% had ≥1 first-degree relative with colorectal cancer. Overall, 21.3% were willing to have testing only if paid by insurance, and 78.7% were willing-to-pay. Predictors of willingness-to-pay were: 1) concern for positive result; 2) confidence to control cancer risk; 3) fewer perceived barriers to colorectal cancer screening; 4) benefit of testing to guide screening (all p testing (all p testing, and anticipate benefits to reducing cancer risk. Identifying factors associated with willingness-to-pay for genetic services is increasingly important as testing is integrated into routine cancer care.
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Lee, Ji-yeon
2014-12-01
A teacher's intention to refer students to mental health professionals is important to the early identification of attention-deficit/hyperactivity disorder (ADHD) and prevention of further problems. The theory of planned behavior (TPB) was used to determine the strongest belief-related predictors of a teacher's intentions to refer students with ADHD symptoms to a mental health professional in the U.S. and South Korea. Perceived stigma and knowledge of ADHD were additional predictors in examining the role of culture in a teacher's perceptions of the public's stigma toward ADHD and a teachers' knowledge of ADHD. Cross-cultural differences exist. U.S. teachers' (n = 235) intentions to refer were predicted by all TPB variables (i.e., attitudes about referral, beliefs about whether important others would approve of making a referral, and perceived behavioral control in making a referral). However, among South Korean teachers (n = 144), behavioral control and perceived stigma were the only predictors. The results imply the importance of considering the cultural context in understanding a teacher's referral behaviors. PsycINFO Database Record (c) 2014 APA, all rights reserved.
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Predictors of undiagnosed prevalent type 2 diabetes
DEFF Research Database (Denmark)
Heltberg, Andreas Søndergaard; Andersen, John Sahl; Sandholdt, Håkon
2018-01-01
AIMS: To investigate how self-reported risk factors (including socioeconomic status) predict undiagnosed, prevalent type 2 diabetes mellitus (T2DM). To externally validate Leicester Risk Assessment Score (LRAS), Finnish Diabetes Risk Score (FINDRISC) and Danish Diabetes Risk Score (DDRS......), and to investigate how these predict a European Heart SCORE≥5% in a Danish population study. METHODS: We included 21,205 adults from the Danish General Suburban Population Study. We used relative importance calculations of self-reported variables in prediction of undiagnosed T2DM. We externally validated established...... prediction models reporting ROC-curves for undiagnosed T2DM, pre-diabetes and SCORE. RESULTS: More than 20% of people with T2DM were undiagnosed. The 7 most important self-rated predictors in sequential order were high BMI, antihypertensive-therapy, age, cardiovascular disease, waist-circumference, fitness...
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Psychiatric and socioeconomic aspects as possible predictors of compulsive buying behavior
Leite, Priscilla Lourenço; Silva, Adriana Cardoso
2016-01-01
Abstract Introduction: Compulsive buying can be characterized as an almost irresistible urge to buy various items. Compulsive buying disorder is a subject of growing interest to health professionals. It is a current issue and the prevalence rate in the global population is around 5 to 8%. Objectives: The main objective of this study was to identify predictors of compulsive buying in the Brazilian population, assessing possible relationships between compulsive buying, depression and anxiety....
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Positive Psychology Factors as Predictors of Latina/o College Students' Psychological Grit
Vela, Javier Cavazos; Smith, Wayne D.; Whittenberg, James F.; Guardiola, Rebekah; Savage, Miranda
2018-01-01
Latina/o college students (N = 130) provided perceptions of psychological grit, presence of meaning in life, search for meaning in life, hope, life satisfaction, and mindfulness. Hope and mindfulness were significant predictors of psychological grit. A discussion regarding the importance of these findings and implications for counselors are…
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Directory of Open Access Journals (Sweden)
Juneman Abraham
2015-05-01
Full Text Available Corruption is one of the biggest problems that progressively undermine the life of Indonesian. At the psychosocial level, the Indonesian people, especially the leaders and public officials, many times have been referred to as “the shameless nation”; a designation that is attributed as the cause of the flourishing of corruption. Research breakthrough is needed in the educational world in order to better understand the roots of corruption and the minimal and even the lack of the shame. This predictive correlational study made the organization charlatan behaviour and moral identity as predictors of shame proneness. This study, which was conducted on 208 civil servants and private employees in Jakarta, the capital of Indonesia (111 males, 97 females; mean of age = 32.19 years old, standard deviation of age = 10.495 years, showed that the organizational charlatan behaviour is unable to predict shame, but the moral identity can predict it. Implications of this study’s results for further advanced researches as well as practices in education are elaborated in the Discussion and Suggestions section.
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Pattern and Predictors of Hospital Readmission During the First Year After Lung Transplantation.
Alrawashdeh, M; Zomak, R; Dew, M A; Sereika, S; Song, M K; Pilewski, J M; DeVito Dabbs, A
2017-05-01
Hospital readmission after lung transplantation negatively affects quality of life and resource utilization. A secondary analysis of data collected prospectively was conducted to identify the pattern of (incidence, count, cumulative duration), reasons for and predictors of readmission for 201 lung transplant recipients (LTRs) assessed at 2, 6, and 12 mo after discharge. The majority of LTRs (83.6%) were readmitted, and 64.2% had multiple readmissions. The median cumulative readmission duration was 19 days. The main reasons for readmission were other than infection or rejection (55.5%), infection only (25.4%), rejection only (9.9%), and infection and rejection (0.7%). LTRs who required reintubation (odds ratio [OR] 1.92; p = 0.008) or were discharged to care facilities (OR 2.78; p = 0.008) were at higher risk for readmission, with a 95.7% cumulative incidence of readmission at 12 mo. Thirty-day readmission (40.8%) was not significantly predicted by baseline characteristics. Predictors of higher readmission count were lower capacity to engage in self-care (incidence rate ratio [IRR] 0.99; p = 0.03) and discharge to care facilities (IRR 1.45; p = 0.01). Predictors of longer cumulative readmission duration were older age (arithmetic mean ratio [AMR] 1.02; p = 0.009), return to the intensive care unit (AMR 2.00; p = 0.01) and lower capacity to engage in self-care (AMR 0.99; p = 0.03). Identifying LTRs at risk may assist in optimizing predischarge care, discharge planning and long-term follow-up. © 2016 The American Society of Transplantation and the American Society of Transplant Surgeons.
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Wolsk, Emil; Claggett, Brian; Pfeffer, Marc A; Diaz, Rafael; Dickstein, Kenneth; Gerstein, Hertzel C; Lawson, Francesca C; Lewis, Eldrin F; Maggioni, Aldo P; McMurray, John J V; Probstfield, Jeffrey L; Riddle, Matthew C; Solomon, Scott D; Tardif, Jean-Claude; Køber, Lars
2017-05-29
Natriuretic peptides are recognized as important predictors of cardiovascular events in patients with heart failure, but less is known about their prognostic importance in patients with acute coronary syndrome. We sought to determine whether B-type natriuretic peptide (BNP) and N-terminal prohormone B-type natriuretic peptide (NT-proBNP) could enhance risk prediction of a broad range of cardiovascular outcomes in patients with acute coronary syndrome and type 2 diabetes mellitus. Patients with a recent acute coronary syndrome and type 2 diabetes mellitus were prospectively enrolled in the ELIXA trial (n=5525, follow-up time 26 months). Best risk models were constructed from relevant baseline variables with and without BNP/NT-proBNP. C statistics, Net Reclassification Index, and Integrated Discrimination Index were analyzed to estimate the value of adding BNP or NT-proBNP to best risk models. Overall, BNP and NT-proBNP were the most important predictors of all outcomes examined, irrespective of history of heart failure or any prior cardiovascular disease. BNP significantly improved C statistics when added to risk models for each outcome examined, the strongest increments being in death (0.77-0.82, P type 2 diabetes mellitus, BNP and NT-proBNP were powerful predictors of cardiovascular outcomes beyond heart failure and death, ie, were also predictive of MI and stroke. Natriuretic peptides added as much predictive information about death as all other conventional variables combined. URL: http://www.clinicaltrials.gov. Unique identifier: NCT01147250. © 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.
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Serum Predictors of Percent Lean Mass in Young Adults.
Lustgarten, Michael S; Price, Lori L; Phillips, Edward M; Kirn, Dylan R; Mills, John; Fielding, Roger A
2016-08-01
Lustgarten, MS, Price, LL, Phillips, EM, Kirn, DR, Mills, J, and Fielding, RA. Serum predictors of percent lean mass in young adults. J Strength Cond Res 30(8): 2194-2201, 2016-Elevated lean (skeletal muscle) mass is associated with increased muscle strength and anaerobic exercise performance, whereas low levels of lean mass are associated with insulin resistance and sarcopenia. Therefore, studies aimed at obtaining an improved understanding of mechanisms related to the quantity of lean mass are of interest. Percent lean mass (total lean mass/body weight × 100) in 77 young subjects (18-35 years) was measured with dual-energy x-ray absorptiometry. Twenty analytes and 296 metabolites were evaluated with the use of the standard chemistry screen and mass spectrometry-based metabolomic profiling, respectively. Sex-adjusted multivariable linear regression was used to determine serum analytes and metabolites significantly (p ≤ 0.05 and q ≤ 0.30) associated with the percent lean mass. Two enzymes (alkaline phosphatase and serum glutamate oxaloacetate aminotransferase) and 29 metabolites were found to be significantly associated with the percent lean mass, including metabolites related to microbial metabolism, uremia, inflammation, oxidative stress, branched-chain amino acid metabolism, insulin sensitivity, glycerolipid metabolism, and xenobiotics. Use of sex-adjusted stepwise regression to obtain a final covariate predictor model identified the combination of 5 analytes and metabolites as overall predictors of the percent lean mass (model R = 82.5%). Collectively, these data suggest that a complex interplay of various metabolic processes underlies the maintenance of lean mass in young healthy adults.
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Predictors of Persistent Axial Neck Pain After Cervical Laminoplasty.
Kimura, Atsushi; Shiraishi, Yasuyuki; Inoue, Hirokazu; Endo, Teruaki; Takeshita, Katsushi
2018-01-01
Retrospective analysis of prospective data. The aim of this study was to reveal baseline predictors of persistent postlaminoplasty neck pain. Axial neck pain is one of the most common complications after cervical laminoplasty; however, baseline predictors of persistent postlaminoplasty neck pain are unclear. We analyzed data from 156 patients who completed a 2-year follow-up after double-door laminoplasty for degenerative cervical myelopathy. Patients rated the average intensity of axial neck pain in the last month using an 11-point numerical rating scale preoperatively and at the 2-year follow-up. The dependent variable was the presence of moderate-to-severe neck pain (numerical rating scale ≥4) at the 2-year follow-up. The independent variables included patient characteristics, baseline radiological parameters, surgical variables, baseline axial neck pain intensity, and baseline functions, which were measured by the Japanese Orthopaedic Association score and the Short Form-36 survey (SF-36). Logistic regression analysis was performed to identify independent predictors of moderate-to-severe neck pain after laminoplasty. At the 2-year follow-up, 51 patients (32%) had moderate-to-severe neck pain, and 106 patients (68%) had no or mild pain. Univariate analysis revealed that the ratio of cervical anterolisthesis, ratio of current smoking, baseline neck pain intensity, and baseline SF-36 Mental Component Summary differed significantly between the groups. Multivariate logistic regression analysis showed that independent predictors of moderate-to-severe neck pain at the 2-year follow-up include the presence of anterolisthesis, current smoking, moderate-to-severe baseline neck pain, and lower SF-36 Mental Component Summary. The presence of anterolisthesis and moderate-to-severe baseline neck pain were also associated with significantly poorer physical function after surgery. The presence of anterolisthesis was associated not only with the highest odds ratio of
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Directory of Open Access Journals (Sweden)
Ai-Chin Cheng
2011-12-01
Conclusion: Our study indicated that patients with failed extubation experienced significantly increased admission expenditure, increased tracheostomy rate, and higher hospital mortality. Advanced age should be considered an important risk factor for failed extubation and overall mortality when planning extubation in critically ill ICU patients.
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Directory of Open Access Journals (Sweden)
Dongping Chen
Full Text Available OBJECTIVE: Autosomal dominant polycystic kidney disease (ADPKD is a relentlessly progressing form of chronic kidney disease for which there is no cure. The aim of this study was to characterize Chinese patients with ADPKD and to identify the factors which predict cyst growth and renal functional deterioration. METHODS: To analyze disease predicting factors we performed a prospective longitudinal observational study in a cohort of 541 Chinese patients with ADPKD and an eGFR ≥ 30 ml/min/1.73 m(2. Patients were followed clinically and radiologically with sequential abdominal magnetic resonance imaging (MRI. Clinical characteristics and laboratory data were related to changes in estimated glomerular filtration rate (eGFR and total kidney volume (TKV. A linear regression model was developed to analyze the factors which determine eGFR and TKV changes. RESULTS: The age range of this unselected cohort ranged from 4 to 77 years. Median follow-up time was 14.3 ± 10.6 months. Although inter-individual differences in eGFR and TKV were large, there was a consistent link between these two parameters. Baseline log10-transformed TKV and urinary protein/creatinine ratio were identified as the major predictors for a faster eGFR decline and were associated with a higher TKV growth rate. Interestingly, a lower thrombocyte count correlated significantly with lower eGFR (r = 0.222 and higher TKV (r = 0.134. CONCLUSIONS: This large cohort of Chinese patients with ADPKD provides unique epidemiological data for comparison with other cohorts of different ethnicity. In Chinese patients we identified a lower thrombocyte count as a significant predictor of disease progression. These results are important for the design of future clinical trials to retard polycystic kidney disease progression.
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Energy Technology Data Exchange (ETDEWEB)
Sher, David J., E-mail: david_sher@rush.edu [Department of Radiation Oncology, Rush University Medical Center, Chicago, Illinois (United States); Liptay, Michael J. [Department of Cardiothoracic Surgery, Rush University Medical Center, Chicago, Illinois (United States); Fidler, Mary Jo [Section of Medical Oncology, Rush University Medical Center, Chicago, Illinois (United States)
2014-06-01
Purpose: The optimal locoregional therapy for stage IIIA non-small cell lung cancer (NSCLC) is controversial, with definitive chemoradiation therapy (CRT) and neoadjuvant therapy followed by surgery (NT-S) serving as competing strategies. In this study, we used the National Cancer Database to determine the prevalence and predictors of NT in a large, modern cohort of patients. Methods and Materials: Patients with stage IIIA NSCLC treated with CRT or NT-S between 2003 and 2010 at programs accredited by the Commission on Cancer were included. Predictors were categorized as clinical, time/geographic, socioeconomic, and institutional. In accord with the National Cancer Database, institutions were classified as academic/research program and as comprehensive and noncomprehensive community cancer centers. Logistic regression and random effects multilevel logistic regression were performed for univariable and multivariable analyses, respectively. Results: The cohort consisted of 18,581 patients, 3,087 (16.6%) of whom underwent NT-S (10.6% induction CRT, 6% induction chemotherapy). The prevalence of NT-S was constant over time, but there were significant relative 31% and 30% decreases in pneumonectomy and right-sided pneumonectomy, respectively, over time (P trend <.02). In addition to younger age, lower T stage, and favorable comorbidity score, indicators of higher socioeconomic status were strong independent predictors of NT-S, including white race, higher income, and private/managed insurance. The type of institution (academic/research program vs comprehensive or noncomprehensive community cancer centers, odds ratio 1.54 and 2.08, respectively) strongly predicted NT-S, but treatment volume did not. Conclusions: Neoadjuvant therapy followed by surgery was an uncommon treatment approach in Commission on Cancer programs, and the prevalence of postinduction pneumonectomy decreased over time. Higher socioeconomic status and treatment at academic institutions were significant
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International Nuclear Information System (INIS)
Sher, David J.; Liptay, Michael J.; Fidler, Mary Jo
2014-01-01
Purpose: The optimal locoregional therapy for stage IIIA non-small cell lung cancer (NSCLC) is controversial, with definitive chemoradiation therapy (CRT) and neoadjuvant therapy followed by surgery (NT-S) serving as competing strategies. In this study, we used the National Cancer Database to determine the prevalence and predictors of NT in a large, modern cohort of patients. Methods and Materials: Patients with stage IIIA NSCLC treated with CRT or NT-S between 2003 and 2010 at programs accredited by the Commission on Cancer were included. Predictors were categorized as clinical, time/geographic, socioeconomic, and institutional. In accord with the National Cancer Database, institutions were classified as academic/research program and as comprehensive and noncomprehensive community cancer centers. Logistic regression and random effects multilevel logistic regression were performed for univariable and multivariable analyses, respectively. Results: The cohort consisted of 18,581 patients, 3,087 (16.6%) of whom underwent NT-S (10.6% induction CRT, 6% induction chemotherapy). The prevalence of NT-S was constant over time, but there were significant relative 31% and 30% decreases in pneumonectomy and right-sided pneumonectomy, respectively, over time (P trend <.02). In addition to younger age, lower T stage, and favorable comorbidity score, indicators of higher socioeconomic status were strong independent predictors of NT-S, including white race, higher income, and private/managed insurance. The type of institution (academic/research program vs comprehensive or noncomprehensive community cancer centers, odds ratio 1.54 and 2.08, respectively) strongly predicted NT-S, but treatment volume did not. Conclusions: Neoadjuvant therapy followed by surgery was an uncommon treatment approach in Commission on Cancer programs, and the prevalence of postinduction pneumonectomy decreased over time. Higher socioeconomic status and treatment at academic institutions were significant
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Redick, Thomas S; Shipstead, Zach; Meier, Matthew E; Montroy, Janelle J; Hicks, Kenny L; Unsworth, Nash; Kane, Michael J; Hambrick, D Zachary; Engle, Randall W
2016-11-01
Previous research has identified several cognitive abilities that are important for multitasking, but few studies have attempted to measure a general multitasking ability using a diverse set of multitasks. In the final dataset, 534 young adult subjects completed measures of working memory (WM), attention control, fluid intelligence, and multitasking. Correlations, hierarchical regression analyses, confirmatory factor analyses, structural equation models, and relative weight analyses revealed several key findings. First, although the complex tasks used to assess multitasking differed greatly in their task characteristics and demands, a coherent construct specific to multitasking ability was identified. Second, the cognitive ability predictors accounted for substantial variance in the general multitasking construct, with WM and fluid intelligence accounting for the most multitasking variance compared to attention control. Third, the magnitude of the relationships among the cognitive abilities and multitasking varied as a function of the complexity and structure of the various multitasks assessed. Finally, structural equation models based on a multifaceted model of WM indicated that attention control and capacity fully mediated the WM and multitasking relationship. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
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Incidence and predictors of coronary stent thrombosis
DEFF Research Database (Denmark)
D'Ascenzo, Fabrizio; Bollati, Mario; Clementi, Fabrizio
2013-01-01
Stent thrombosis remains among the most feared complications of percutaneous coronary intervention (PCI) with stenting. However, data on its incidence and predictors are sparse and conflicting. We thus aimed to perform a collaborative systematic review on incidence and predictors of stent...
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Predictors for the Number of Warning Information Sources During Tornadoes.
Cong, Zhen; Luo, Jianjun; Liang, Daan; Nejat, Ali
2017-04-01
People may receive tornado warnings from multiple information sources, but little is known about factors that affect the number of warning information sources (WISs). This study examined predictors for the number of WISs with a telephone survey on randomly sampled residents in Tuscaloosa, Alabama, and Joplin, Missouri, approximately 1 year after both cities were struck by violent tornadoes (EF4 and EF5) in 2011. The survey included 1006 finished interviews and the working sample included 903 respondents. Poisson regression and Zero-Inflated Poisson regression showed that older age and having an emergency plan predicted more WISs in both cities. Education, marital status, and gender affected the possibilities of receiving warnings and the number of WISs either in Joplin or in Tuscaloosa. The findings suggest that social disparity affects the access to warnings not only with respect to the likelihood of receiving any warnings but also with respect to the number of WISs. In addition, historical and social contexts are important for examining predictors for the number of WISs. We recommend that the number of WISs should be regarded as an important measure to evaluate access to warnings in addition to the likelihood of receiving warnings. (Disaster Med Public Health Preparedness. 2017;11:168-172).