Predicting depressive symptoms in employees through life stressors: subgroup analysis by gender, age, working hours, and income level
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 depr...
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Frontiers Media S.A.
2024-12-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1495663/full |
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| author | Jiwan Moon Jiwan Moon Yoosuk An Yoosuk An Yoosuk An Sang Won Jeon Sang Won Jeon Sung Joon Cho Sung Joon Cho |
| author_facet | Jiwan Moon Jiwan Moon Yoosuk An Yoosuk An Yoosuk An Sang Won Jeon Sang Won Jeon Sung Joon Cho Sung Joon Cho |
| author_sort | Jiwan Moon |
| collection | DOAJ |
| description | 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 < 0.001) had the greatest effect on depressive symptoms, followed by mannerisms (β = 0.191, p < 0.001), family relationships (β = 0.120, p < 0.001), interpersonal conflicts (β = 0.077, p < 0.001), health problems (β = 0.054, p < 0.001), financial strains (β = 0.046, p < 0.001), and traumatic events (β = 0.021, p = 0.002). Moreover, significant variance in the rank order of effects of stressors across gender, age, working hours, and income level was observed, as revealed by subgroup analysis.ConclusionThis study identified the effects of seven major life stressors on depressive symptoms and suggests that the rank order of these effects varies depending on sociodemographic factors. These findings expand the understanding of the complex relationship between concurrent life stressors and depression, and highlight the need for personalized interventions to prevent and manage depression among Korean employees. |
| format | Article |
| id | doaj-art-96c9f9d3e3554feebe256a6c732b68c7 |
| institution | Kabale University |
| issn | 2296-2565 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-96c9f9d3e3554feebe256a6c732b68c72024-12-17T06:23:32ZengFrontiers Media S.A.Frontiers in Public Health2296-25652024-12-011210.3389/fpubh.2024.14956631495663Predicting depressive symptoms in employees through life stressors: subgroup analysis by gender, age, working hours, and income levelJiwan Moon0Jiwan Moon1Yoosuk An2Yoosuk An3Yoosuk An4Sang Won Jeon5Sang Won Jeon6Sung Joon Cho7Sung Joon Cho8Department of Psychiatry, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of KoreaDepartment of Psychiatry, National Traffic Injury Rehabilitation Hospital, Yangpyeong, Republic of KoreaDepartment of Psychiatry, National Traffic Injury Rehabilitation Hospital, Yangpyeong, Republic of KoreaDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of KoreaDepartment of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of KoreaDepartment of Psychiatry, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of KoreaWorkplace Mental Health Institute, Kangbuk Samsung Hospital, Seoul, Republic of KoreaDepartment of Psychiatry, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of KoreaWorkplace Mental Health Institute, Kangbuk Samsung Hospital, Seoul, Republic of KoreaBackgroundAlthough 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 < 0.001) had the greatest effect on depressive symptoms, followed by mannerisms (β = 0.191, p < 0.001), family relationships (β = 0.120, p < 0.001), interpersonal conflicts (β = 0.077, p < 0.001), health problems (β = 0.054, p < 0.001), financial strains (β = 0.046, p < 0.001), and traumatic events (β = 0.021, p = 0.002). Moreover, significant variance in the rank order of effects of stressors across gender, age, working hours, and income level was observed, as revealed by subgroup analysis.ConclusionThis study identified the effects of seven major life stressors on depressive symptoms and suggests that the rank order of these effects varies depending on sociodemographic factors. These findings expand the understanding of the complex relationship between concurrent life stressors and depression, and highlight the need for personalized interventions to prevent and manage depression among Korean employees.https://www.frontiersin.org/articles/10.3389/fpubh.2024.1495663/fulloccupational healthdepressionlife stresspersonnelregression |
| spellingShingle | Jiwan Moon Jiwan Moon Yoosuk An Yoosuk An Yoosuk An Sang Won Jeon Sang Won Jeon Sung Joon Cho Sung Joon Cho Predicting depressive symptoms in employees through life stressors: subgroup analysis by gender, age, working hours, and income level Frontiers in Public Health occupational health depression life stress personnel regression |
| title | Predicting depressive symptoms in employees through life stressors: subgroup analysis by gender, age, working hours, and income level |
| title_full | Predicting depressive symptoms in employees through life stressors: subgroup analysis by gender, age, working hours, and income level |
| title_fullStr | Predicting depressive symptoms in employees through life stressors: subgroup analysis by gender, age, working hours, and income level |
| title_full_unstemmed | Predicting depressive symptoms in employees through life stressors: subgroup analysis by gender, age, working hours, and income level |
| title_short | Predicting depressive symptoms in employees through life stressors: subgroup analysis by gender, age, working hours, and income level |
| title_sort | predicting depressive symptoms in employees through life stressors subgroup analysis by gender age working hours and income level |
| topic | occupational health depression life stress personnel regression |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1495663/full |
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