Relationships Between Chronic Musculoskeletal Pain and Working Hours and Sleeping Hours: A Cross-sectional Study

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  • ANDO Hajime
    Department of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan
  • IKEGAMI Kazunori
    Department of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan
  • SUGANO Ryosuke
    Department of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan
  • NOZAWA Hiroki
    Department of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan Stanley Electric Co., Ltd. Hatano Factory
  • MICHII Satoshi
    Department of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan
  • SHIRASAKA Taiki
    Department of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan
  • KONDO Miho
    Stanley Electric Co., Ltd. Hatano Factory
  • IMOTO Hitomi
    Kyushu Labour Bank
  • SHIMA Azusa
    Occupational Health Care Office, Heiwado Co., Ltd.
  • KAWATSU Yuichiro
    Occupational Health Care Office, Heiwado Co., Ltd.
  • OGAMI Akira
    Department of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan

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Other Title
  • 筋骨格系慢性疼痛と労働時間・睡眠時間との関連性についての検討

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Abstract

Ten to twenty percent of the population of Japan has chronic pain. Although studies have confirmed a relationship between sleeping hours and chronic pain, it remains unclear whether there is an association between working hours and chronic pain, especially chronic musculoskeletal pain (CMP), in workers. A self-administered questionnaire that sought information regarding background characteristics and work-related factors was sent to 118 enterprises; finally, 1,747 participants were included in the analysis and were classified into CMP (n = 448) and non-CMP (n = 1299) groups. Logistic regression analysis revealed that age (odds ratio [OR] = 1.02, 95% confidence interval [CI]: 1.01–1.03), sex (reference: female, OR = 0.68, 95% CI: 0.52–0.88), working hours (OR = 1.11, 95% CI: 1.03–1.20), and sleeping hours (OR = 0.84, 95% CI: 0.75–0.95) were significantly associated with CMP. Participants were categorized into four groups according to working hours (long: ≥ 9 hours/day [long-work], short: < 9 hours/day [short-work]) and sleeping hours (long: ≥ 7 hours/day [long-sleep], short: < 7 hours/day [short-sleep]). Furthermore, logistic regression analysis showed that the CMP OR was 2.02 (95% CI: 1.46–2.78) times higher in ‘long-work plus short-sleep workers’ and 1.47 (95% CI: 0.94–2.30) times higher in ‘long-work plus long-sleep workers’ than in ‘short-work plus long-sleep workers’. Thus, working hours are associated with CMP frequency, but sleeping sufficiently may prevent CMP in workers even if they work for long hours. In conclusion, adequate instructions on sleeping hours should be provided by occupational health staff, as this may be effective in preventing CMP.

Journal

  • Journal of UOEH

    Journal of UOEH 41 (1), 25-33, 2019-03-01

    The University of Occupational and Environmental Health, Japan

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