Association of Stressful Life Events with Psychological Problems: A Large-Scale Community-Based Study Using Grouped Outcomes Latent Factor Regression with Latent Predictors

(2017) Association of Stressful Life Events with Psychological Problems: A Large-Scale Community-Based Study Using Grouped Outcomes Latent Factor Regression with Latent Predictors. Computational and Mathematical Methods in Medicine. ISSN 1748-670X

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Abstract

Objective. The current study is aimed at investigating the association between stressful life events and psychological problems in a large sample of Iranian adults. Method. In a cross-sectional large-scale community-based study, 4763 Iranian adults, living in Isfahan, Iran, were investigated. Grouped outcomes latent factor regression on latent predictors was used for modeling the association of psychological problems (depression, anxiety, and psychological distress), measured by Hospital Anxiety and Depression Scale (HADS) and General Health Questionnaire (GHQ-12), as the grouped outcomes, and stressful life events, measured by a self-administered stressful life events (SLEs) questionnaire, as the latent predictors. Results. The results showed that the personal stressors domain has significant positive association with psychological distress (beta = 0.19), anxiety (beta = 0.25), depression (beta = 0.15), and their collective profile score (beta = 0.20), with greater associations in females (beta = 0.28) than in males (beta = 0.13) (all p < 0.001). In addition, in the adjusted models, the regression coefficients for the association of social stressors domain and psychological problems profile score were 0.37, 0.35, and 0.46 in total sample, males, and females, respectively (beta < 0.001). Conclusion. Results of our study indicated that different stressors, particularly those socioeconomic related, have an effective impact on psychological problems. It is important to consider the social and cultural background of a population for managing the stressors as an effective approach for preventing and reducing the destructive burden of psychological problems.

Item Type: Article
Keywords: mental-health depressive symptoms psychiatric-disorders major depression whitehall ii prevalence anxiety onset comorbidity women
Divisions: Cardiovascular Research Institute > Cardiac Rehabilitation Research Center
Faculty of Health > Department of Epidemiology and Biostatistics
Faculty of Medicine > Departments of Clinical Sciences > Department of Internal
Psychosomatic Research Center
Other
Journal or Publication Title: Computational and Mathematical Methods in Medicine
Journal Index: ISI
Identification Number: Artn 3457103 10.1155/2017/3457103
ISSN: 1748-670X
Depositing User: مهندس مهدی شریفی
URI: http://eprints.mui.ac.ir/id/eprint/884

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