Suppr超能文献

新冠疫情期间一线医护人员的睡眠障碍:社交媒体调查研究。

Sleep Disturbances in Frontline Health Care Workers During the COVID-19 Pandemic: Social Media Survey Study.

机构信息

Department of Medicine, University of Kansas Medical Center, Kansas City, KS, United States.

Kansas City University, Kansas City, MO, United States.

出版信息

J Med Internet Res. 2021 May 19;23(5):e27331. doi: 10.2196/27331.

Abstract

BACKGROUND

During the COVID-19 pandemic, health care workers are sharing their challenges, including sleep disturbances, on social media; however, no study has evaluated sleep in predominantly US frontline health care workers during the COVID-19 pandemic.

OBJECTIVE

The aim of this study was to assess sleep among a sample of predominantly US frontline health care workers during the COVID-19 pandemic using validated measures through a survey distributed on social media.

METHODS

A self-selection survey was distributed on Facebook, Twitter, and Instagram for 16 days (August 31 to September 15, 2020), targeting health care workers who were clinically active during the COVID-19 pandemic. Study participants completed the Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI), and they reported their demographic and career information. Poor sleep quality was defined as a PSQI score ≥5. Moderate-to-severe insomnia was defined as an ISI score >14. The Mini-Z Burnout Survey was used to measure burnout. Multivariate logistic regression tested associations between demographics, career characteristics, and sleep outcomes.

RESULTS

A total of 963 surveys were completed. Participants were predominantly White (894/963, 92.8%), female (707/963, 73.4%), aged 30-49 years (692/963, 71.9%), and physicians (620/963, 64.4%). Mean sleep duration was 6.1 hours (SD 1.2). Nearly 96% (920/963, 95.5%) of participants reported poor sleep (PSQI). One-third (288/963, 30%) reported moderate or severe insomnia. Many participants (554/910, 60.9%) experienced sleep disruptions due to device use or had nightmares at least once per week (420/929, 45.2%). Over 50% (525/932, 56.3%) reported burnout. In multivariable logistic regressions, nonphysician (odds ratio [OR] 2.4, 95% CI 1.7-3.4), caring for patients with COVID-19 (OR 1.8, 95% CI 1.2-2.8), Hispanic ethnicity (OR 2.2, 95% CI 1.4-3.5), female sex (OR 1.6, 95% CI 1.1-2.4), and having a sleep disorder (OR 4.3, 95% CI 2.7-6.9) were associated with increased odds of insomnia. In open-ended comments (n=310), poor sleep was mapped to four categories: children and family, work demands, personal health, and pandemic-related sleep disturbances.

CONCLUSIONS

During the COVID-19 pandemic, nearly all the frontline health care workers surveyed on social media reported poor sleep, over one-third reported insomnia, and over half reported burnout. Many also reported sleep disruptions due to device use and nightmares. Sleep interventions for frontline health care workers are urgently needed.

摘要

背景

在 COVID-19 大流行期间,医护人员在社交媒体上分享他们的挑战,包括睡眠障碍;然而,尚无研究评估 COVID-19 大流行期间美国主要一线医护人员的睡眠情况。

目的

本研究旨在使用经过验证的测量工具,通过在社交媒体上发布的调查,评估 COVID-19 大流行期间美国主要一线医护人员的睡眠情况。

方法

2020 年 8 月 31 日至 9 月 15 日,通过 Facebook、Twitter 和 Instagram 发布了 16 天的自我选择调查,目标人群为在 COVID-19 大流行期间临床活跃的医护人员。研究参与者完成了匹兹堡睡眠质量指数(PSQI)和失眠严重程度指数(ISI),并报告了他们的人口统计学和职业信息。睡眠质量差定义为 PSQI 得分≥5。中重度失眠定义为 ISI 得分>14。采用迷你 Z 倦怠量表测量倦怠。多变量逻辑回归测试了人口统计学、职业特征与睡眠结果之间的关联。

结果

共完成 963 份调查。参与者主要为白人(894/963,89.6%)、女性(707/963,73.2%)、年龄在 30-49 岁(692/963,71.7%)和医生(620/963,64.3%)。平均睡眠时间为 6.1 小时(SD 1.2)。近 96%(920/963,95.5%)的参与者报告睡眠质量差(PSQI)。三分之一(288/963,30%)报告有中度或重度失眠。许多参与者(554/910,60.9%)因使用设备或每周至少有一次梦魇而导致睡眠中断(420/929,45.2%)。超过 50%(525/932,56.3%)的人报告有倦怠感。多变量逻辑回归显示,非医生(比值比[OR] 2.4,95%置信区间[CI] 1.7-3.4)、照顾 COVID-19 患者(OR 1.8,95% CI 1.2-2.8)、西班牙裔(OR 2.2,95% CI 1.4-3.5)、女性(OR 1.6,95% CI 1.1-2.4)和患有睡眠障碍(OR 4.3,95% CI 2.7-6.9)与失眠的几率增加有关。在开放性评论(n=310)中,睡眠质量差与以下四个类别有关:儿童和家庭、工作需求、个人健康和与大流行相关的睡眠障碍。

结论

在 COVID-19 大流行期间,通过社交媒体调查的几乎所有一线医护人员都报告睡眠质量差,超过三分之一报告失眠,超过一半报告倦怠。许多人还报告因使用设备和梦魇而导致睡眠中断。迫切需要为一线医护人员提供睡眠干预措施。

相似文献

4
Physical interventions to interrupt or reduce the spread of respiratory viruses.
Cochrane Database Syst Rev. 2023 Jan 30;1(1):CD006207. doi: 10.1002/14651858.CD006207.pub6.
5
Pharmacotherapies for sleep disturbances in dementia.
Cochrane Database Syst Rev. 2016 Nov 16;11(11):CD009178. doi: 10.1002/14651858.CD009178.pub3.
6
The effect of sample site and collection procedure on identification of SARS-CoV-2 infection.
Cochrane Database Syst Rev. 2024 Dec 16;12(12):CD014780. doi: 10.1002/14651858.CD014780.
8
Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19.
Cochrane Database Syst Rev. 2022 May 20;5(5):CD013665. doi: 10.1002/14651858.CD013665.pub3.
9
Antibody tests for identification of current and past infection with SARS-CoV-2.
Cochrane Database Syst Rev. 2022 Nov 17;11(11):CD013652. doi: 10.1002/14651858.CD013652.pub2.
10
Sero-prevalence of SARS-CoV-2 antibodies in Ethiopia: Results of the National Population Based Survey, 2021.
PLoS One. 2025 May 6;20(5):e0313791. doi: 10.1371/journal.pone.0313791. eCollection 2025.

引用本文的文献

2
Sleep disturbances in Healthcare Workers During the COVID-19 Pandemic.
Niger Med J. 2025 Apr 3;66(1):82-90. doi: 10.71480/nmj.v66i1.573. eCollection 2025 Jan-Feb.
3
Fostering Workforce Wellness: Insights from Nurse Managers and Early Childhood Educators.
Healthcare (Basel). 2025 Feb 24;13(5):487. doi: 10.3390/healthcare13050487.
4
Impact of body weight on the relationships between sleep quality in healthcare workers and their somatic health, sexual life, occupational burnout and stress.
Int J Occup Med Environ Health. 2024 Dec 9;37(5):545-556. doi: 10.13075/ijomeh.1896.02472. Epub 2024 Nov 14.
5
Sleep patterns and their associations with psychiatric symptoms among Chinese healthcare workers: a latent profile analysis.
Front Psychol. 2024 Oct 15;15:1481580. doi: 10.3389/fpsyg.2024.1481580. eCollection 2024.
6
Factors associated with sleep quality among Afghan healthcare workers.
Health Sci Rep. 2024 Aug 29;7(9):e70018. doi: 10.1002/hsr2.70018. eCollection 2024 Sep.
8
Alterations in Circadian Rhythms, Sleep, and Physical Activity in COVID-19: Mechanisms, Interventions, and Lessons for the Future.
Mol Neurobiol. 2024 Dec;61(12):10115-10137. doi: 10.1007/s12035-024-04178-5. Epub 2024 May 3.
9
Nightmare distress, insomnia and resilience of nursing staff in the post-pandemic era.
AIMS Public Health. 2023 Dec 18;11(1):36-57. doi: 10.3934/publichealth.2024003. eCollection 2024.

本文引用的文献

2
Assessment of Physician Sleep and Wellness, Burnout, and Clinically Significant Medical Errors.
JAMA Netw Open. 2020 Dec 1;3(12):e2028111. doi: 10.1001/jamanetworkopen.2020.28111.
3
Incidence, Persistence, and Remission Rates of Insomnia Over 5 Years.
JAMA Netw Open. 2020 Nov 2;3(11):e2018782. doi: 10.1001/jamanetworkopen.2020.18782.
6
Sleep characteristics in health workers exposed to the COVID-19 pandemic.
Sleep Med. 2020 Nov;75:388-394. doi: 10.1016/j.sleep.2020.08.013. Epub 2020 Aug 17.
7
Scrolling for data or doom during COVID-19?
Can J Public Health. 2020 Aug;111(4):490-491. doi: 10.17269/s41997-020-00376-5. Epub 2020 Jul 8.
8
A snapshot of European neurosurgery December 2019 vs. March 2020: just before and during the Covid-19 pandemic.
Acta Neurochir (Wien). 2020 Sep;162(9):2221-2233. doi: 10.1007/s00701-020-04482-8. Epub 2020 Jul 8.
9
The examination of sleep quality for frontline healthcare workers during the outbreak of COVID-19.
Sleep Breath. 2021 Mar;25(1):503-511. doi: 10.1007/s11325-020-02135-9. Epub 2020 Jun 26.
10
Psychological distress, coping behaviors, and preferences for support among New York healthcare workers during the COVID-19 pandemic.
Gen Hosp Psychiatry. 2020 Sep-Oct;66:1-8. doi: 10.1016/j.genhosppsych.2020.06.007. Epub 2020 Jun 16.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验