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Balancing work and earnings: The long-term impact on mental health

Author

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  • Chen, Jun-Hong
  • Yang, Yuanyuan
  • Fang, Cao
  • Huang, Chieh-Hsun
  • Chiang, Chien-Jen
  • Wu, Chi-Fang
  • Jonson-Reid, Melissa
  • Drake, Brett

Abstract

Earnings and work hours (e.g., weekly work hours) are key determinants of one's mental health. While higher earnings are linked to better mental health due to reduced financial stress, they may come at the cost of longer work hours harmful for mental health. Therefore, balancing work hours with earnings is crucial for mental health. Using the 2015, 2017, and 2019 waves of the Panel Study of Income Dynamics (N = 6,776), this study explores how one's earnings and work hours combine to influence mental health using growth mixture modeling and a negative binomial regression model, with generalized propensity score weighting for causal inference. The findings reveal that working 40 h a week with earnings two to three times the US federal poverty threshold benefits mental health. However, earning more by working 60 h a week does not provide additional mental health benefits. Additionally, individuals with a history of low earnings face a high risk of psychological distress, even as their earnings improve over time. This risk is similar to that experienced by those consistently earning low incomes. Our findings highlight the importance of clarifying work-earning balance for one's mental health as well as identifying people with mental health needs from a longitudinal perspective.

Suggested Citation

  • Chen, Jun-Hong & Yang, Yuanyuan & Fang, Cao & Huang, Chieh-Hsun & Chiang, Chien-Jen & Wu, Chi-Fang & Jonson-Reid, Melissa & Drake, Brett, 2025. "Balancing work and earnings: The long-term impact on mental health," Social Science & Medicine, Elsevier, vol. 364(C).
    • Handle: RePEc:eee:socmed:v:364:y:2025:i:c:s0277953624010165
    DOI: 10.1016/j.socscimed.2024.117562
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    1. David Autor & Anna Salomons, 2018. "Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share," NBER Working Papers 24871, National Bureau of Economic Research, Inc.
    2. Dinh, Huong & Strazdins, Lyndall & Welsh, Jennifer, 2017. "Hour-glass ceilings: Work-hour thresholds, gendered health inequities," Social Science & Medicine, Elsevier, vol. 176(C), pages 42-51.
    3. Marianna Virtanen & Stephen A Stansfeld & Rebecca Fuhrer & Jane E Ferrie & Mika Kivimäki, 2012. "Overtime Work as a Predictor of Major Depressive Episode: A 5-Year Follow-Up of the Whitehall II Study," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-5, January.
    4. Thomas Gerding & Jun Wang, 2022. "Stressed at Work: Investigating the Relationship between Occupational Stress and Salivary Cortisol Fluctuations," IJERPH, MDPI, vol. 19(19), pages 1-12, September.
    5. Deborah De Moortel & Nico Dragano & Morten Wahrendorf, 2020. "Involuntary Full- and Part-Time Work: Employees’ Mental Health and the Role of Family- and Work-Related Resources," Societies, MDPI, vol. 10(4), pages 1-14, October.
    6. Asena Caner & Edward N. Wolff, 2004. "Asset Poverty In The United States, 1984–99: Evidence From The Panel Study Of Income Dynamics," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 50(4), pages 493-518, December.
    7. Philip Oreopoulos & Kjell G. Salvanes, 2011. "Priceless: The Nonpecuniary Benefits of Schooling," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 159-184, Winter.
    8. Daiga Kamerade & Ursula Balderson & Brendan Burchell & Senhu Wang & Adam Coutts, 2020. "Shorter Working Week and Workers' Well-being and Mental Health," Working Papers wp522, Centre for Business Research, University of Cambridge.
    9. Sungjin Park & Hyungdon Kook & Hongdeok Seok & Jae Hyoung Lee & Daeun Lim & Dong-Hyuk Cho & Suk-Kyu Oh, 2020. "The negative impact of long working hours on mental health in young Korean workers," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-13, August.
    10. Qi Chen & Wen Luo & Gregory J. Palardy & Ryan Glaman & Amber McEnturff, 2017. "The Efficacy of Common Fit Indices for Enumerating Classes in Growth Mixture Models When Nested Data Structure Is Ignored," SAGE Open, , vol. 7(1), pages 21582440177, March.
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    1. Das, Bijoy Chandra, 2025. "Stress and Trading Behavior: Informativeness of Insider Trading Around COVID-19 Pandemic," CAFE Working Papers 39, Centre for Accountancy, Finance and Economics (CAFE), Birmingham City Business School, Birmingham City University.

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