Predicting depressive symptoms in employees through life stressors: subgroup analysis by gender, age, working hours, and income level
2024

Predicting Depression in Employees from Life Stressors

Sample size: 12541 publication Evidence: high

Author Information

Author(s): Moon Jiwan, An Yoosuk, Jeon Sang Won, Cho Sung Joon

Primary Institution: Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine

Hypothesis

This study aims to evaluate the relative importance of seven major life stressors on depressive symptoms and analyze its variation in subgroups.

Conclusion

The study found that workplace stress has the greatest effect on depressive symptoms, and the impact of various stressors varies by sociodemographic factors.

Supporting Evidence

  • Workplace stress had the highest effect on depressive symptoms (β=0.411, p<0.001).
  • Mannerisms and family relationships also significantly affected depressive symptoms.
  • Subgroup analysis revealed variations in stressor effects based on gender, age, working hours, and income level.

Takeaway

This study shows that different life stressors can make people feel sad, and how much they affect someone can depend on things like age and gender.

Methodology

Data from 12,541 Korean employees were analyzed using multiple regression analysis to assess the effects of seven major life stressors on depressive symptoms.

Potential Biases

Potential recall bias and social desirability bias may affect the validity of self-reported stressors.

Limitations

The study is cross-sectional, which limits causal conclusions, and relies on self-reported data, which may introduce bias.

Participant Demographics

Participants were Korean employees aged 19-65, with a majority being male (62.9%) and an average age of 36.7 years.

Statistical Information

P-Value

p<0.001

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.3389/fpubh.2024.1495663

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