Please use this identifier to cite or link to this item: https://doi.org/10.3390/ijerph192113986
Title: Which Shiftwork Pattern Is the Strongest Predictor for Poor Sleep Quality in Nurses?
Authors: Wangsan, K
Chaiear, N
Sawanyawisuth, K
Klainin-Yobas, P 
Simajareuk, K
Boonsawat, W
Keywords: backward
nurse
risk factors
shiftwork
sleep
Humans
Work Schedule Tolerance
Sleep
Cross-Sectional Studies
Sleep Quality
Surveys and Questionnaires
Nurses
Issue Date: 1-Nov-2022
Publisher: MDPI AG
Citation: Wangsan, K, Chaiear, N, Sawanyawisuth, K, Klainin-Yobas, P, Simajareuk, K, Boonsawat, W (2022-11-01). Which Shiftwork Pattern Is the Strongest Predictor for Poor Sleep Quality in Nurses?. International Journal of Environmental Research and Public Health 19 (21) : 13986-. ScholarBank@NUS Repository. https://doi.org/10.3390/ijerph192113986
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.
Source Title: International Journal of Environmental Research and Public Health
URI: https://scholarbank.nus.edu.sg/handle/10635/235713
ISSN: 1661-7827
1660-4601
DOI: 10.3390/ijerph192113986
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