Association of Stressful Life Events with Psychological Problems: A Large-Scale Community-Based Study Using Grouped Outcomes Latent Factor Regression with Latent Predictors. (19th September 2017)
- Record Type:
- Journal Article
- Title:
- Association of Stressful Life Events with Psychological Problems: A Large-Scale Community-Based Study Using Grouped Outcomes Latent Factor Regression with Latent Predictors. (19th September 2017)
- Main Title:
- Association of Stressful Life Events with Psychological Problems: A Large-Scale Community-Based Study Using Grouped Outcomes Latent Factor Regression with Latent Predictors
- Authors:
- Hassanzadeh, Akbar
Heidari, Zahra
Feizi, Awat
Hassanzadeh Keshteli, Ammar
Roohafza, Hamidreza
Afshar, Hamid
Adibi, Payman - Other Names:
- Wang Ruisheng Academic Editor.
- Abstract:
- 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 (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 toAbstract : 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 (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. … (more)
- Is Part Of:
- Computational and mathematical methods in medicine. Volume 2017(2017)
- Journal:
- Computational and mathematical methods in medicine
- Issue:
- Volume 2017(2017)
- Issue Display:
- Volume 2017, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 2017
- Issue:
- 2017
- Issue Sort Value:
- 2017-2017-2017-0000
- Page Start:
- Page End:
- Publication Date:
- 2017-09-19
- Subjects:
- Medicine -- Computer simulation -- Periodicals
Medicine -- Mathematical models -- Periodicals
610.11 - Journal URLs:
- https://www.hindawi.com/journals/cmmm/ ↗
- DOI:
- 10.1155/2017/3457103 ↗
- Languages:
- English
- ISSNs:
- 1748-670X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3390.573000
British Library HMNTS - ELD Digital store - Ingest File:
- 22619.xml