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The Moderating Effect of Generation on the Association Between Long Working Hours and Mental Health: A Cross-Sectional Study of Korean Employees

Year: 2025
Type: article
Study design: Observational Study
Abstract: Background/Objectives: Long working hours are a recognized risk factor for poor mental health, but their impact may vary across generations. Millennials and Generation Z (MZ generation) have received attention for their distinct values, work–life expectations, and communication styles compared with older cohorts. The present study assessed generational differences (MZ vs. non-MZ) in the association between weekly working hours and depressive and anxiety symptoms among Korean employees. Methods: We analyzed cross-sectional data from 11,372 employees (68.0% men; mean age = 36.7 years) who underwent mental health screenings between 2020 and 2022. Participants born on or after 1 January 1980, were classified as belonging to the MZ generation (n = 7538). Symptoms of depression and anxiety were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D) and the Clinically Useful Anxiety Outcome Scale (CUXOS). Multiple linear regression models tested the interaction between mean-centered weekly working hours and generation, adjusting for sociodemographic covariates. Results: Longer working hours were significantly associated with greater depressive (B = 0.080, p < 0.001) and anxiety (B = 0.119, p < 0.001) symptom severity. Significant interactions between generation and working hours were observed for both depression (B = 0.140, p < 0.001) and anxiety (B = 0.182, p < 0.001). Generation-stratified models showed that the increase in symptom severity per additional work hour was approximately three-fold higher in the MZ generation than in the non-MZ generation. Conclusions: The mental health burden of long working hours is amplified in the MZ generation. Generation-sensitive workplace health strategies are needed to address this vulnerability.
Source: Healthcare
Language: English
Open Access status: gold
Estimated APC paid: $3,258
Funder: Samsung
OpenAlex ID: W4416460580
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Cites: 33
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