IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i21p13986-d954983.html
   My bibliography  Save this article

Which Shiftwork Pattern Is the Strongest Predictor for Poor Sleep Quality in Nurses?

Author

Listed:
  • Kampanat Wangsan

    (Department of Community, Family and Occupational Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
    Department of Community Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Naesinee Chaiear

    (Department of Community, Family and Occupational Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Kittisak Sawanyawisuth

    (Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Piyanee Klainin-Yobas

    (Alice Lee Center for Nursing Studies, Yong Loo Lin School of Medicine Clinical Research Centre, National University of Singapore, Singapore 119077, Singapore)

  • Kanjana Simajareuk

    (Nursing Division, Srinagarind Hospital, Faculty of Medicine, Khon Kaen 40002, Thailand)

  • Watchara Boonsawat

    (Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand)

Abstract

Shiftwork is related to an increased risk of several diseases, including gastric ulcers, myocardial infarction, and diabetes. Several shiftwork patterns are related to poor sleep quality, such as a quick returns or extended shifts. This study aimed to find the shiftwork patterns strongly associated with poor sleep quality amongst nurses. A cross-sectional analytical study was conducted among nurses working for at least one month. The sub-groups were the good sleep quality group (n = 150) and the poor sleep quality group (n = 472). Eligible participants were asked to complete a self-reported questionnaire comprising personal characteristics, job characteristics, shiftwork characteristics, and sleep quality. Factors associated with poor sleep quality were determined using logistic regression analysis. Two factors associated with poor sleep quality remained in the final model: viz., depression and backward rotational shift. The only independent factor for poor sleep quality was a backward rotational shift with an adjusted odds ratio (95% CI) of 1.946 (1.344, 2.871). In conclusion, compared with other shift patterns, backward shiftwork was the most significant factor associated with poor sleep quality and should be avoided.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:13986-:d:954983
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/21/13986/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/21/13986/
    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.
    2. Hsiu-Chin Hsu & Hsiu-Fang Lee & Mei-Hsiang Lin, 2021. "Exploring the Association between Sleep Quality and Heart Rate Variability among Female Nurses," IJERPH, MDPI, vol. 18(11), pages 1-13, May.
    3. Maria Fagerbakke Eldevik & Elisabeth Flo & Bente Elisabeth Moen & Ståle Pallesen & Bjørn Bjorvatn, 2013. "Insomnia, Excessive Sleepiness, Excessive Fatigue, Anxiety, Depression and Shift Work Disorder in Nurses Having Less than 11 Hours in-Between Shifts," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-9, August.
    4. Yan Cui & Shuang-Shuang Tian & Nan Qiao & Cong Wang & Tong Wang & Jian-Jun Huang & Chen-Ming Sun & Jie Liang & Xiao-Meng Liu, 2015. "Associations of Individual-Related and Job-Related Risk Factors with Nonfatal Occupational Injury in the Coal Workers of Shanxi Province: A Cross-Sectional Study," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-13, July.
    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. Bernhard Grässler & Milos Dordevic & Fabian Herold & Sabine Darius & Corinna Langhans & Nicole Halfpaap & Berit K. Labott & Patrick Müller & Achraf Ammar & Beatrice Thielmann & Irina Böckelmann & Notg, 2021. "Relationship between Resting State Heart Rate Variability and Sleep Quality in Older Adults with Mild Cognitive Impairment," IJERPH, MDPI, vol. 18(24), pages 1-14, December.
    2. Jin Tian & Yundou Wang & Shutian Gao, 2022. "Analysis of Mining-Related Injuries in Chinese Coal Mines and Related Risk Factors: A Statistical Research Study Based on a Meta-Analysis," IJERPH, MDPI, vol. 19(23), pages 1-16, December.
    3. Jeonghee Hong & Misoon Kim & Eunyoung E. Suh & Sangwoon Cho & Soyoung Jang, 2021. "Comparison of Fatigue, Quality of Life, Turnover Intention, and Safety Incident Frequency between 2-Shift and 3-Shift Korean Nurses," IJERPH, MDPI, vol. 18(15), pages 1-13, July.
    4. Eun Hee Jang & Yujin Hong & Yeji Kim & Sangha Lee & Yeonsoon Ahn & Kyoung Sook Jeong & Tae-Won Jang & Hyejin Lim & Eunha Jung & Shift Work Disorder Study Group & Seockhoon Chung & Sooyeon Suh, 2020. "The Development of a Sleep Intervention for Firefighters: The FIT-IN (Firefighter’s Therapy for Insomnia and Nightmares) Study," IJERPH, MDPI, vol. 17(23), pages 1-14, November.
    5. Mo-Yeol Kang & Ho-Jang Kwon & Kyung-Hwa Choi & Chung-Won Kang & Hyunjoo Kim, 2017. "The relationship between shift work and mental health among electronics workers in South Korea: A cross-sectional study," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-10, November.
    6. Michela Terenzi & Orlando Ricciardi & Francesco Di Nocera, 2022. "Rostering in Air Traffic Control: A Narrative Review," IJERPH, MDPI, vol. 19(8), pages 1-16, April.
    7. Wei Zhang & Dongxiao Gu & Yuguang Xie & Aida Khakimova & Oleg Zolotarev, 2023. "How Do COVID-19 Risk, Life-Safety Risk, Job Insecurity, and Work–Family Conflict Affect Miner Performance? Health-Anxiety and Job-Anxiety Perspectives," IJERPH, MDPI, vol. 20(6), pages 1-21, March.
    8. Daniel P. Longman & Colin N. Shaw & Veronica Varela-Mato & Aron P. Sherry & Katharina Ruettger & Mohsen Sayyah & Amber Guest & Yu-Ling Chen & Nicola J. Paine & James A. King & Stacy A. Clemes, 2021. "Time in Nature Associated with Decreased Fatigue in UK Truck Drivers," IJERPH, MDPI, vol. 18(6), pages 1-17, March.
    9. Chali ETEFA & Idris YEBA & Girma DEFERE, 2017. "Socio-Economic And Work -Related Safety Conditions Of Coal Mine Workers: The Case Of Achibo-Sombo Coal Mining Site," Annals of the University of Craiova for Journalism, Communication and Management, Department of Communication, Journalism and Education Sciences, University of Craiova, vol. 3(1), pages 106-143, August.
    10. Ari Min & Minkyung Kang & Hye Chong Hong, 2021. "Sickness Presenteeism in Shift and Non-Shift Nurses: Using the Fifth Korean Working Conditions Survey," IJERPH, MDPI, vol. 18(6), pages 1-12, March.
    11. 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.
    12. Yuanmay Chang & Calvin Lam & Su‐Ru Chen & Trevor Sithole & Min‐Huey Chung, 2017. "Seasonal variations in sleep disorders of nurses," Journal of Clinical Nursing, John Wiley & Sons, vol. 26(7-8), pages 1085-1094, April.
    13. Hiroki Ikeda & Tomohide Kubo & Shuhei Izawa & Nanako Nakamura-Taira & Toru Yoshikawa & Rie Akamatsu, 2022. "The Joint Association of Daily Rest Periods and Sleep Duration with Worker Health and Productivity: A Cross-Sectional Web Survey of Japanese Daytime Workers," IJERPH, MDPI, vol. 19(17), pages 1-11, September.
    14. Qingwei Xu & Kaili Xu, 2020. "Statistical Analysis and Prediction of Fatal Accidents in the Metallurgical Industry in China," IJERPH, MDPI, vol. 17(11), pages 1-20, May.
    15. Ewa Sygit-Kowalkowska & Andrzej Piotrowski & Imaduddin Hamzah, 2021. "Insomnia among Prison Officers and Its Relationship with Occupational Burnout: The Role of Coping with Stress in Polish and Indonesian Samples," IJERPH, MDPI, vol. 18(8), pages 1-24, April.

    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:19:y:2022:i:21:p:13986-:d:954983. 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.