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Effects of Long Working Hours and Night Work on Subjective Well-Being Depending on Work Creativity and Task Variety, and Occupation: The Role of Working-Time Mismatch, Variability, Shift Work, and Autonomy

Author

Listed:
  • Min-Gwan Shin

    (Department of Medicine, Medical College, Pusan National University, Yangsan 50612, Korea)

  • Yoon-Ji Kim

    (Department of Preventive, and Occupational & Environmental Medicine, Medical College, Pusan National University, Yangsan 50612, Korea
    Environmental Health Center of Asbestos, Pusan National University Yangsan Hospital, Yangsan 50612, Korea)

  • Tae-Kyoung Kim

    (Medical Research Institute, Pusan National University, Yangsan 50612, Korea)

  • Dongmug Kang

    (Department of Preventive, and Occupational & Environmental Medicine, Medical College, Pusan National University, Yangsan 50612, Korea
    Environmental Health Center of Asbestos, Pusan National University Yangsan Hospital, Yangsan 50612, Korea
    Department of Occupational and Environmental Medicine, Pusan National University Yangsan Hospital, Yangsan 50612, Korea)

Abstract

This study explored the effects of long working hours (LW) and night work (NW) on subjective well-being and the modifying effects of work creativity and task variety (WCTV) and occupation. In addition, we examined the influence of working time-related variables including working-time mismatch, variability, shift work, and autonomy on the effects of LW and NW. This study used data from the 5th Korean Working Conditions Survey on 50,205 workers. LW and NW were defined as 52–60 h (L1) or >60 h (L2) per week, and 1–10 days (N1) or >10 days (N2) of night work per month. Multiple logistic regression was used to examine the effects of LW and NW and the modifying influences of WCTV and occupation. Differences in ORs of LW and NW caused by working time-related variables were investigated, to determine effect sizes and directions. A high level of WCTV alleviated the risks of LW and NW. White-collar workers were more vulnerable to the risk associated with NW. Regarding working-time related variables, working-time mismatch and variability increased the risks of LW and NW, respectively, while shift work alleviated the risks of NW. In countries where flexible work systems are not well utilized, working-time autonomy might not be associated with the risk of LW or NW. This study showed that it is necessary to comprehensively consider the occupation and task characteristics of individual workers performing LW or NW. Further studies of the modifying effects of working time-related variables on LW and NW are needed.

Suggested Citation

  • Min-Gwan Shin & Yoon-Ji Kim & Tae-Kyoung Kim & Dongmug Kang, 2021. "Effects of Long Working Hours and Night Work on Subjective Well-Being Depending on Work Creativity and Task Variety, and Occupation: The Role of Working-Time Mismatch, Variability, Shift Work, and Aut," IJERPH, MDPI, vol. 18(12), pages 1-19, June.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:12:p:6371-:d:573885
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    References listed on IDEAS

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    1. Mark Wooden & Diana Warren & Robert Drago, 2009. "Working Time Mismatch and Subjective Well‐being," British Journal of Industrial Relations, London School of Economics, vol. 47(1), pages 147-179, March.
    2. Zan Li & Junming Dai & Ning Wu & Yingnan Jia & Junling Gao & Hua Fu, 2019. "Effect of Long Working Hours on Depression and Mental Well-Being among Employees in Shanghai: The Role of Having Leisure Hobbies," IJERPH, MDPI, vol. 16(24), pages 1-10, December.
    3. Helliwell, John F., 2003. "How's life? Combining individual and national variables to explain subjective well-being," Economic Modelling, Elsevier, vol. 20(2), pages 331-360, March.
    4. A. Khaleque, 1999. "Sleep Deficiency and Quality of Life of Shift Workers," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 46(2), pages 181-189, February.
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    Cited by:

    1. Zheng, Hongyun & Vatsa, Puneet & Ma, Wanglin & Zhou, Xiaoshou, 2023. "Working hours and job satisfaction in China: A threshold analysis," China Economic Review, Elsevier, vol. 77(C).
    2. Paula Franklin & Wouter Zwysen & Agnieszka Piasna, 2022. "Temporal Dimensions of Job Quality and Gender: Exploring Differences in the Associations of Working Time and Health between Women and Men," IJERPH, MDPI, vol. 19(8), pages 1-18, April.
    3. Nils Backhaus, 2022. "Working Time Control and Variability in Europe Revisited: Correlations with Health, Sleep, and Well-Being," IJERPH, MDPI, vol. 19(22), pages 1-19, November.

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