IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0030719.html
   My bibliography  Save this article

Overtime Work as a Predictor of Major Depressive Episode: A 5-Year Follow-Up of the Whitehall II Study

Author

Listed:
  • Marianna Virtanen
  • Stephen A Stansfeld
  • Rebecca Fuhrer
  • Jane E Ferrie
  • Mika Kivimäki

Abstract

Background: The association between overtime work and depression is still unclear. This study examined the association between overtime work and the onset of a major depressive episode (MDE). Methodology/Principal Findings: Prospective cohort study with a baseline examination of working hours, psychological morbidity (an indicator of baseline depression) and depression risk factors in 1991–1993 and a follow-up of major depressive episode in 1997–1999 (mean follow-up 5.8 years) among British civil servants (the Whitehall II study; 1626 men, 497 women, mean age 47 years at baseline). Onset of 12-month MDE was assessed by the Composite International Diagnostic Interview (CIDI) at follow-up. In prospective analysis of participants with no psychological morbidity at baseline, the odds ratio for a subsequent major depressive episode was 2.43 (95% confidence interval 1.11 to 5.30) times higher for those working 11+ hours a day compared to employees working 7–8 hours a day, when adjusted for socio-demographic factors at baseline. Further adjustment for chronic physical disease, smoking, alcohol use, job strain and work-related social support had little effect on this association (odds ratio 2.52; 95% confidence interval 1.12 to 5.65). Conclusions/Significance: Data from middle-aged civil servants suggest that working long hours of overtime may predispose to major depressive episodes.

Suggested Citation

  • 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.
  • Handle: RePEc:plo:pone00:0030719
    DOI: 10.1371/journal.pone.0030719
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0030719
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0030719&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0030719?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. KURODA Sachiko & YAMAMOTO Isamu, 2016. "Workers' Mental Health, Long Work Hours, and Workplace Management: Evidence from workers' longitudinal data in Japan," Discussion papers 16017, Research Institute of Economy, Trade and Industry (RIETI).
    2. Sachiko Kuroda & Isamu Yamamoto, 2019. "Why Do People Overwork at the Risk of Impairing Mental Health?," Journal of Happiness Studies, Springer, vol. 20(5), pages 1519-1538, June.
    3. Eva Urbón & Carlos Salavera, 2023. "Emotional Education as Coping Strategy for Exhaustion and Dysfunctional Eating Habits," Social Sciences, MDPI, vol. 12(8), pages 1-12, August.
    4. Xiaodong Guan & Bingyu Ni & Jingyuan Zhang & Chunxia Man & Zheng Cai & Wenshuang Meng & Luwen Shi & Dennis Ross-Degnan, 2020. "The Impact of Physicians’ Working Hours on Inappropriate Use of Outpatient Medicine in a Tertiary Hospital in China," Applied Health Economics and Health Policy, Springer, vol. 18(3), pages 443-451, June.
    5. Aurora B. Le & Abdulrazak O. Balogun & Todd D. Smith, 2022. "Long Work Hours, Overtime, and Worker Health Impairment: A Cross-Sectional Study among Stone, Sand, and Gravel Mine Workers," IJERPH, MDPI, vol. 19(13), pages 1-9, June.
    6. Robyn Considine & Ross Tynan & Carole James & John Wiggers & Terry Lewin & Kerry Inder & David Perkins & Tonelle Handley & Brian Kelly, 2017. "The Contribution of Individual, Social and Work Characteristics to Employee Mental Health in a Coal Mining Industry Population," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-15, January.
    7. Xiangdan Piao & Xinxin Ma & Chi Zhang & Shunsuke Managi, 2020. "Impact of Gaps in the Educational Levels between Married Partners on Health and a Sustainable Lifestyle: Evidence from 32 Countries," Sustainability, MDPI, vol. 12(11), pages 1-20, June.
    8. Robert Rudolf, 2014. "Work Shorter, Be Happier? Longitudinal Evidence from the Korean Five-Day Working Policy," Journal of Happiness Studies, Springer, vol. 15(5), pages 1139-1163, October.
    9. Moeller, Julia & Ivcevic, Zorana & White, Arielle E. & Menges, Jochen & Brackett, Marc A., 2018. "Highly Engaged but Burned Out: Intra-Individual Profiles in the US Workforce," OSF Preprints h6qnf, Center for Open Science.
    10. Florian Junne & Martina Michaelis & Eva Rothermund & Felicitas Stuber & Harald Gündel & Stephan Zipfel & Monika A. Rieger, 2018. "The Role of Work-Related Factors in the Development of Psychological Distress and Associated Mental Disorders: Differential Views of Human Resource Managers, Occupational Physicians, Primary Care Phys," IJERPH, MDPI, vol. 15(3), pages 1-17, March.
    11. Sato, Kaori & Kuroda, Sachiko & Owan, Hideo, 2020. "Mental health effects of long work hours, night and weekend work, and short rest periods," Social Science & Medicine, Elsevier, vol. 246(C).
    12. Ayako Hino & Akiomi Inoue & Kosuke Mafune & Mayumi Tsuji & Seiichiro Tateishi & Akira Ogami & Tomohisa Nagata & Keiji Muramatsu & Yoshihisa Fujino & on behalf of The CORoNaWork Project, 2022. "Association between Long Working Hours and Psychological Distress: The Effect Modification by Request to Stay Home When Sick in the Workplace during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(7), pages 1-10, March.
    13. Hiroyuki Kikuchi & Yuko Odagiri & Yumiko Ohya & Yutaka Nakanishi & Teruichi Shimomitsu & Töres Theorell & Shigeru Inoue, 2020. "Association of overtime work hours with various stress responses in 59,021 Japanese workers: Retrospective cross-sectional study," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-22, March.
    14. Rubia R. Valente & Brian J. L. Berry, 2017. "Acculturation of Immigrant Latinos into the U.S. Workplace: Evidence from the Working Hours-life Satisfaction Relationship," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 12(2), pages 451-479, June.
    15. Lee, Jungmin & Lee, Yong-Kwan, 2016. "Can working hour reduction save workers?," Labour Economics, Elsevier, vol. 40(C), pages 25-36.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0030719. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.