Changes of sleep patterns in primary care workers during the first wave of the COVID-19 pandemic in 2022 in Shanghai

Author:

Cao Wenshu1,Li Xiaoting1,Yan Yini1,Zhou Jianfeng1,Ye Jizhong1,Lv Qiwei1

Affiliation:

1. Tianlin Community Health Center of Xuhui District

Abstract

Abstract Background The COVID-19 pandemic has had a significant influence on the sleep health of healthcare workers (HCWs); however, there are no studies on this aspect in primary HCWs. The purpose of this cross-sectional, web-based study was to explore the prevalence and factors associated with sleep disorders among primary care providers during the first COVID-19 outbreak in 2022 in Shanghai. Methods: From July 12 to August 15, 2022, primary HCWs were invited to participate in a survey of their sociodemographic and work-related characteristics, various sleep dimensions (regularity, quality, daytime sleepiness, timing, efficiency, and duration), and exposure to COVID-19 patients and a screening for common mental disorders (depression, burnout, and stress). Results: A total of 313 primary HCWs participated the survey, representing 11 distinct healthcare roles. 84% of respondents showed a deterioration in at least one sleep dimension compared to those at pre-pandemic levels; sleep quality (decline of 66%) and daytime sleepiness (increase of 56%) were the most strongly affected domains. After excluding 145 primary HCWs with pre-pandemic “poor sleep,” positive depression screening (odds ratio [OR], 3.08; 95% confidence interval [CI], 1.59–5.98), weekly burnout symptoms (OR, 2.57; 95% CI, 1.32–5.03), and high psychological stress (OR, 4.51; 95% CI, 2.09–9.72) were associated with poor sleep patterns during the pandemic. After adjusting for significant differences between groups, for every 1-point increase in the perceived stress scale score, there was an associated 12% increased risk of poor sleep (adjusted OR, 1.12; 95% CI, 1.05–1.21; P=0.002). Conclusion: A majority of the primary HCWs showed a significant worsening of sleep quality, with an increase in daytime sleepiness, during the first wave of the COVID‑19 pandemic in 2022 in Shanghai. HCWs with high stress were at a greater risk of sleep disorders.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3