IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i12p2102-d239637.html
   My bibliography  Save this article

The Effect of Long Working Hours and Overtime on Occupational Health: A Meta-Analysis of Evidence from 1998 to 2018

Author

Listed:
  • Kapo Wong

    (Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China)

  • Alan H. S. Chan

    (Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China)

  • S. C. Ngan

    (Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China)

Abstract

There has been no subsequent meta-analysis examining the effects of long working hours on health or occupational health since 1997. Therefore, this paper aims to conduct a meta-analysis covering studies after 1997 for a comparison. A total of 243 published records were extracted from electronic databases. The effects were measured by five conditions, namely, physiological health (PH), mental health (MH), health behaviours (HB), related health (RH), and nonspecified health (NH). The overall odds ratio between long working hours and occupational health was 1.245 (95% confidence interval (CI): 1.195–1.298). The condition of related health constituted the highest odds ratio value (1.465, 95% CI: 1.332–1.611). The potential moderators were study method, cut-point for long weekly working hours, and country of origin. Long working hours were shown to adversely affect the occupational health of workers. The management on safeguarding the occupational health of workers working long hours should be reinforced.

Suggested Citation

  • Kapo Wong & Alan H. S. Chan & S. C. Ngan, 2019. "The Effect of Long Working Hours and Overtime on Occupational Health: A Meta-Analysis of Evidence from 1998 to 2018," IJERPH, MDPI, vol. 16(12), pages 1-22, June.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:12:p:2102-:d:239637
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/12/2102/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/12/2102/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yao Ma & Ying-Jun Wang & Bing-Rui Chen & Hao-Jie Shi & Hao Wang & Mohammad Reeaze Khurwolah & Ya-Fei Li & Zhi-Yong Xie & Yang Yang & Lian-Sheng Wang, 2017. "Study on association of working hours and occupational physical activity with the occurrence of coronary heart disease in a Chinese population," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-14, October.
    2. Lars-Kristian Lunde & Markus Koch & Kaj Bo Veiersted & Gunn-Helen Moen & Morten Wærsted & Stein Knardahl, 2016. "Heavy Physical Work: Cardiovascular Load in Male Construction Workers," IJERPH, MDPI, vol. 13(4), pages 1-15, March.
    3. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    4. Clarke, Paul & Crawford, Claire & Steele, Fiona & Vignoles, Anna, 2010. "The Choice Between Fixed and Random Effects Models: Some Considerations for Educational Research," IZA Discussion Papers 5287, Institute of Labor Economics (IZA).
    5. Annina Ropponen & Mikko Härmä & Barbara Bergbom & Jouko Nätti & Mikael Sallinen, 2018. "The Vicious Circle of Working Hours, Sleep, and Recovery in Expert Work," IJERPH, MDPI, vol. 15(7), pages 1-11, June.
    6. Marit Skogstad & Asgeir Mamen & Lars-Kristian Lunde & Bente Ulvestad & Dagfinn Matre & Hans Christian D. Aass & Reidun Øvstebø & Pia Nielsen & Kari N. Samuelsen & Øivind Skare & Per Anton Sirnes, 2019. "Shift Work Including Night Work and Long Working Hours in Industrial Plants Increases the Risk of Atherosclerosis," IJERPH, MDPI, vol. 16(3), pages 1-11, February.
    7. Suzanne Bianchi, 2000. "Maternal employment and time with children: Dramatic change or surprising continuity?," Demography, Springer;Population Association of America (PAA), vol. 37(4), pages 401-414, November.
    8. Anna S. Burger, 2015. "Extreme Working Hours in Western Europe and North America: A New Aspect of Polarization," LIS Working papers 649, LIS Cross-National Data Center in Luxembourg.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Raymond Hernandez & Stefan Schneider & Loree Pham & Elizabeth A. Pyatak, 2023. "Across and Within- Individual Associations Between Everyday Activities and Quality of Life Relevant Measures, in Workers with Type 1 Diabetes," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(4), pages 1965-1987, August.
    2. MA Xinxin & KAWAKAMI Atushi & INUI Tomohiko & ZHAO Meng (KONISHI Moe), 2023. "The Impact of Long Working Hours on Mental Health Status in Japan: Evidence from a National Representative Survey," Discussion papers 23069, Research Institute of Economy, Trade and Industry (RIETI).
    3. Green, Colin P. & Heywood, John S., 2023. "Performance pay, work hours and employee health in the UK," Labour Economics, Elsevier, vol. 84(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jay Stewart, 2010. "The Timing of Maternal Work and Time with Children," ILR Review, Cornell University, ILR School, vol. 64(1), pages 181-200, October.
    2. Fali Huang, 2006. "What Matter for Child Development?," Working Papers 24-2006, Singapore Management University, School of Economics.
    3. Qian Li & Yan Chen & Shikun Sun & Muyuan Zhu & Jing Xue & Zihan Gao & Jinfeng Zhao & Yihe Tang, 2022. "Research on Crop Irrigation Schedules Under Deficit Irrigation—A Meta-analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4799-4817, September.
    4. Bart Verkuil & Serpil Atasayi & Marc L Molendijk, 2015. "Workplace Bullying and Mental Health: A Meta-Analysis on Cross-Sectional and Longitudinal Data," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-16, August.
    5. Damiano Pizzol & Mike Trott & Igor Grabovac & Mario Antunes & Anna Claudia Colangelo & Simona Ippoliti & Cristian Petre Ilie & Anne Carrie & Nicola Veronese & Lee Smith, 2021. "Laparoscopy in Low-Income Countries: 10-Year Experience and Systematic Literature Review," IJERPH, MDPI, vol. 18(11), pages 1-11, May.
    6. Wolfgang Goymann & John C. Wingfield, 2014. "Male-to-female testosterone ratios, dimorphism, and life history—what does it really tell us?," Behavioral Ecology, International Society for Behavioral Ecology, vol. 25(4), pages 685-699.
    7. Donatella Furia & Alessandro Crociata & Massimiliano Agovino, 2018. "Voluntary work and cultural capital: an exploratory analysis for Italian regional data," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(3), pages 789-808, December.
    8. Alderotti, Giammarco & Rapallini, Chiara & Traverso, Silvio, 2023. "The Big Five personality traits and earnings: A meta-analysis," Journal of Economic Psychology, Elsevier, vol. 94(C).
    9. Ferguson, Neil T. N. & Michaelsen, Maren M., 2013. "The Legacy of Conflict – Regional Deprivation and School Performance in Northern Ireland," Ruhr Economic Papers 419, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    10. Ünal, Zehra E. & Kartal, Gamze & Ulusoy, Serra & Ala, Aslı M. & Yilmaz, Munube & Geary, David C., 2023. "Relative contributions of g and basic domain-specific mathematics skills to complex mathematics competencies," Intelligence, Elsevier, vol. 101(C).
    11. Apps, Patricia & Mendolia, Silvia & Walker, Ian, 2013. "The impact of pre-school on adolescents’ outcomes: Evidence from a recent English cohort," Economics of Education Review, Elsevier, vol. 37(C), pages 183-199.
    12. Craig Gundersen & David R. Just & Fei Men, 2017. "Mothers' Within-Marriage Economic Prospects and Later Food Security: Does Marital Outcome Matter?," Journal of Consumer Affairs, Wiley Blackwell, vol. 51(3), pages 682-702, November.
    13. Daniele Zago & Maria Eugênia Andrighetto Canozzi & Júlio Otávio Jardim Barcellos, 2020. "Pregnant beef cow’s nutrition and its effects on postnatal weight and carcass quality of their progeny," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-20, August.
    14. Viktoria Maria Baumeister & Leonie Petra Kuen & Maike Bruckes & Gerhard Schewe, 2021. "The Relationship of Work-Related ICT Use With Well-being, Incorporating the Role of Resources and Demands: A Meta-Analysis," SAGE Open, , vol. 11(4), pages 21582440211, November.
    15. Richard Gearhart & Lyudmyla Sonchak-Ardan & Raphael Thibault, 2023. "The impact of minimum wage on parental time allocation to children: evidence from the American Time Use Survey," Review of Economics of the Household, Springer, vol. 21(3), pages 1019-1042, September.
    16. Yannis Georgellis & Howard Wall, 2005. "Gender differences in self-employment," International Review of Applied Economics, Taylor & Francis Journals, vol. 19(3), pages 321-342.
    17. Gundula Krack, 2019. "How to make value-based health insurance designs more effective? A systematic review and meta-analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 841-856, August.
    18. Felfe, Christina & Hsin, Amy, 2012. "Maternal work conditions and child development," Economics of Education Review, Elsevier, vol. 31(6), pages 1037-1057.
    19. Garey Ramey & Valerie A. Ramey, 2010. "The Rug Rat Race," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 41(1 (Spring), pages 129-199.
    20. Angélica Pigola & Priscila Rezende Costa, 2022. "In search of understanding about knowledge and learning on innovation performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3995-4022, July.

    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:gam:jijerp:v:16:y:2019:i:12:p:2102-:d:239637. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.