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Association between shift work and poor sleep quality in an Asian multi-ethnic working population: A cross-sectional study

Author

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  • Thuan-Quoc Thach
  • Dhiya Mahirah
  • Gerard Dunleavy
  • Yichi Zhang
  • Nuraini Nazeha
  • Yuri Rykov
  • Audrey Nah
  • Adam Charles Roberts
  • George I Christopoulos
  • Chee-Kiong Soh
  • Josip Car

Abstract

Background: We aimed to examine the association between shift work and sleep quality in a diverse occupational type. Methods: This was a cross-sectional study of self-reported sleep quality in 424 workers aged ≥21 using the Pittsburgh Sleep Quality Index (PSQI). We divided workers into two categories based on their PSQI score: (a) ≤5 (good sleep quality) and (b) >5 (poor sleep quality). We used multiple logistic regressions to assess the association between shift work and sleep quality adjusted for potential confounders. Results: The mean age was 39.2 (SD = 11.3) years, with shift workers being older than their counterparts. Most workers were of Chinese ethnicity (63.9%). Males were significantly more likely to undertake shift work than females (89% v 11%, p-value

Suggested Citation

  • Thuan-Quoc Thach & Dhiya Mahirah & Gerard Dunleavy & Yichi Zhang & Nuraini Nazeha & Yuri Rykov & Audrey Nah & Adam Charles Roberts & George I Christopoulos & Chee-Kiong Soh & Josip Car, 2020. "Association between shift work and poor sleep quality in an Asian multi-ethnic working population: A cross-sectional study," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-15, March.
    • Handle: RePEc:plo:pone00:0229693
    DOI: 10.1371/journal.pone.0229693
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    Cited by:

    1. Andrew Roshan Dicom & Xiangyuan Huang & Saima Hilal, 2023. "Association between Shift Work Schedules and Cardiovascular Events in a Multi-Ethnic Cohort," IJERPH, MDPI, vol. 20(3), pages 1-12, January.
    2. Kampanat Wangsan & Naesinee Chaiear & Kittisak Sawanyawisuth & Piyanee Klainin-Yobas & Kanjana Simajareuk & Watchara Boonsawat, 2022. "Which Shiftwork Pattern Is the Strongest Predictor for Poor Sleep Quality in Nurses?," IJERPH, MDPI, vol. 19(21), pages 1-7, October.

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