Title of article :
Association of Stressful Life Events with Psychological Problems: A Large-Scale Community-Based Study Using Grouped Outcomes Latent Factor Regression with Latent Predictors
Author/Authors :
Hassanzadeh, Akbar Department of Biostatistics and Epidemiology - School of Health - Isfahan University of Medical Sciences - Isfahan, Iran , Heidari, Zahra Department of Biostatistics and Epidemiology - School of Health - Isfahan University of Medical Sciences - Isfahan, Iran , Feizi, Awat Department of Biostatistics and Epidemiology - School of Health - Isfahan University of Medical Sciences - Isfahan, Iran , Hassanzadeh Keshteli, Ammar Department of Medicine - University of Alberta - Edmonton, Canada , Roohafza, Hamidreza Isfahan University of Medical Sciences - Isfahan, Iran , Afshar, Hamid Isfahan University of Medical Sciences - Isfahan, Iran , Adibi, Payman Department of Internal Medicine - School of Medicine - Isfahan University of Medical Sciences - Isfahan, Iran
Abstract :
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 (𝛽 = 0.19), anxiety (𝛽 = 0.25),
depression (𝛽 = 0.15), and their collective profile score (𝛽 = 0.20), with greater associations in females (𝛽 = 0.28) than in
males (𝛽 = 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
(𝑃 < 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.
Keywords :
Community-Based , Regression , GHQ-12 , HADS
Journal title :
Computational and Mathematical Methods in Medicine