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
Institutions: CHA University, CHA University Ilsan Medical Center, Seoul National University, Seoul National University Hospital, National Traffic injury Rehabilitation Hospital, Kangbuk Samsung Hospital, Sungkyunkwan University, Korea National Open University, Chungnam National University Sejong Hospital
Language: English
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,258
Funder: Samsung
OpenAlex ID: W4416460580
