IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i3p2047-d1044351.html
   My bibliography  Save this article

Association between Shift Work Schedules and Cardiovascular Events in a Multi-Ethnic Cohort

Author

Listed:
  • Andrew Roshan Dicom

    (Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore)

  • Xiangyuan Huang

    (Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore)

  • Saima Hilal

    (Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore)

Abstract

Background: Shift work is known to increase the risk of cardiometabolic diseases and mortality. We investigate the relationship between shift work schedules and cardiometabolic risk factors (smoking, hypertension, and obesity) and their association with cardiometabolic diseases (diabetes and cardiovascular diseases) in a multi-ethnic population from Singapore. Methods: 2469 participants from the Singapore-based Multi-Ethnic Cohort underwent physical and clinical assessments. Shift work schedules (morning, evening, night, and mixed) were assessed using a validated questionnaire. Results: Among shift workers, night shift workers had a significantly higher prevalence of smoking (54.5%), diabetes (27.3%), and cardiovascular events (14.1%). Compared to non-shift workers, workers in the night (OR = 2.10, 95%CI: 1.26–3.41) and mixed (OR = 1.74, 95%CI: 1.22–2.48) shift groups were more likely to be current smokers. A significant association between shift duration and smoking (OR = 1.02, 95%CI: 1.00–1.03) was also observed, with longer shift duration (in years) leading to an increase in smoking behavior. No significant associations were found between shift work schedules and hypertension, obesity (BMI), diabetes, and cardiovascular disease, as well as other cardiometabolic risk factors and diseases. Conclusion: This study found that shift schedules and shift duration were most strongly associated with smoking status after covariate adjustments (age, gender, ethnicity, socioeconomic status, and work arrangement), with night and mixed shift types being strongly associated with current smoker status. As smoking is a modifiable risk factor for cardiometabolic disease, employers of shift workers should increase work-based health interventions to control smoking and promote a healthier workforce.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:2047-:d:1044351
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/3/2047/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/3/2047/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    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. 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.

    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:20:y:2023:i:3:p:2047-:d:1044351. 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.