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Predicting depressive symptoms in employees through life stressors: subgroup analysis by gender, age, working hours, and income level

Authors :
Jiwan Moon
Yoosuk An
Sang Won Jeon
Sung Joon Cho
Source :
Frontiers in Public Health, Vol 12 (2024)
Publication Year :
2024
Publisher :
Frontiers Media S.A., 2024.

Abstract

BackgroundAlthough evidence has accumulated regarding the association between various stressors and depression, few studies have considered the context in which multiple stressors coexist simultaneously. Thus, this study aimed to evaluate the relative importance of seven major life stressors on depressive symptoms: workplace stress, family relationships, interpersonal conflicts, health problems, financial strains, traumatic events, and mannerisms, and analyzed its variation in subgroups.MethodsData from 12,541 Korean employees were analyzed. Sociodemographic data such as gender, age, education, marital status, working hours, and income level were collected from the study participants, and the Center for Epidemiologic Studies Depression Scale (CES-D) was employed to assess depressive symptoms. Additionally, life stressors experienced during the previous month and their severity were investigated via a questionnaire. Multiple regression analysis was performed to assess the independent effects of seven major life stressors on depressive symptoms, while controlling for sociodemographic factors. Subgroup analysis was also conducted to determine whether the effect of stressors varied by gender, age, working hours, and income level.ResultsWorkplace stress (β = 0.411, p

Details

Language :
English
ISSN :
22962565
Volume :
12
Database :
Directory of Open Access Journals
Journal :
Frontiers in Public Health
Publication Type :
Academic Journal
Accession number :
edsdoj.96c9f9d3e3554feebe256a6c732b68c7
Document Type :
article
Full Text :
https://doi.org/10.3389/fpubh.2024.1495663