Associations between sleep duration, shift work, and infectious illness in the United States: Data from the National Health Interview Survey.

Insufficient sleep and circadian disruption have been linked to immune system dysregulation. The aim of this study was to examine the associations between self-reported sleep duration and work schedule with reports of head and chest colds among adults 18 years and older in the United States. Associations between self-reported habitual sleep duration and work schedule (regular daytime, regular evening, regular nighttime, rotating, other) with reports head and chest colds in the past 2 weeks were examined using data from the 2010 and 2015 National Health Interview Survey. Adults who slept 7-8 hours or reported a regular daytime work schedule were considered the reference group. Multivariate logistic regressions, incorporating sampling weights, were computed adjusting for sociodemographic and health characteristics. Analyses revealed in fully adjusted models that compared to 7- 8 hours sleepers, those sleeping 5 or fewer hours were 44% more likely to report a cold (odds ratio [OR] = 1.44, 95% confidence interval [CI] 1.29-1.61) while those sleeping 9 or more hours were 20% more likely (OR = 1.20, 95% CI 1.06-1.36). Participants who reported a rotating work schedule were 20% more likely to report a cold (OR = 1.20, 95% CI 1.07-1.36) than those reporting a regular daytime work schedule. Short and long sleep duration, as well as a rotating shift work schedule, were associated with increased reports of head and chest colds in a nationally representative sample of US adults. Sleep and circadian function may serve as relevant targets to reduce susceptibility to infectious illness. Copyright © 2021 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.

Citation

Aric A Prather, Judith E Carroll. Associations between sleep duration, shift work, and infectious illness in the United States: Data from the National Health Interview Survey. Sleep health. 2021 Oct;7(5):638-643

Mesh Tags

PMID: 34193397

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