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Sleep problems during the COVID-19 pandemic by population: a systematic review and meta-analysis
Open accessAbstract
Study objectives No systematic review or meta-analysis has yet been conducted to examine the impact of the pandemic on the prevalence of sleep problems among the general population, health care workers, or patients with COVID-19. Therefore, this systematic review was conducted to assess the impact and prevalence of sleep problems among those categories.Methods American Psychological Association PsycINFO, Cochrane, Cumulative Index to Nursing and Allied Health Literature (CINAHL), EBSCOhost, EMBASE, Google Scholar, MEDLINE, ProQuest Medical, ScienceDirect, Scopus, and Web of Science from November 1, 2019 to July 5, 2020 were used. Additionally, 5 preprints servers (medRxiv.org; preprints.org; psyarxiv.com; arXiv.org; biorxiv.org) were also searched for papers accepted after peer review but not yet published and indexed. There was no language restriction. The random-effect models meta-analysis model was used with the DerSimonian and Laird methodology.Results Forty-four papers, involving a total of 54,231 participants from 13 countries, were judged relevant and contributed to the systematic review and meta-analysis of sleep problems during COVID-19. The global pooled prevalence rate of sleep problems among all populations was 35.7% (95% confidence interval, 29.4-42.4%). Patients with COVID-19 appeared to be the most affected group, with a pooled rate of 74.8% (95% confidence interval, 28.7-95.6%). Health care workers and the general population had comparative rates of sleep problems, with rates of 36.0% (95% confidence interval, 21.1-54.2%) and 32.3% (95% confidence interval, 25.3-40.2%), respectively.Conclusions The prevalence of sleep problems during the COVID-19 pandemic is high and affects approximately 40% of people from the general and health care populations. Patients with active COVID-19 appeared to have a higher prevalence rates of sleep problems.
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“Moreover, students appear to exhibit worse sleep in the 5 weeks before their exams compared to the rest of the semester [83].”
From A systematic review and meta-analysis of poor sleep, insomnia symptoms and stress in undergraduate students (2022) · cites this paper as [83]
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“PSQI prevalence was also comparable to that in the general population during the outbreak determined using the same tool (Jahrami et al., 2021).”
From Long-term effects of COVID-19 on mental health: a systematic review (2022) · cites this paper as Jahrami et al., 2021
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BackgroundLong-term effects of COVID-19 on mental health: a systematic review
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“%) because of the core symptoms of the disease, including cough, fever, in fl ammation, and shortness of breath, all of which are related to sleep disturbances [2].”
InfluentialSelf-citation
Metadata
- Authors
- Jahrami, H., BaHammam, A. S., Bragazzi, N. L., Saif, Z., Faris, M., & Vitiello, M. V.
- Affiliations
- Ministry of Health (BH)
- King Saud University (SA)
- York University (CA)
- University of Sharjah (AE)
- University of Washington (US)
- ORCID
- Venue
- Journal of Clinical Sleep Medicine
- Published
- 2021-02
- Volume
- 17
- Issue
- 2
- Pages
- 299-313
- ISSN
- 1550-9389 (ISSN-L)
- 1550-9397
- PMC
- PMC7853219
- OpenAlex
- W3097605919
- Cited by
- 751
- References
- 68
- Citations by year
- 2026: 32 · 2025: 57 · 2024: 90 · 2023: 180 · 2022: 268 · 2021: 124
- FWCI
- 11.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Clinical Sleep Medicine (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Health Sciences › Medicine › Physiology (medical) › Obstructive Sleep Apnea Research
- Keywords
- sleep disorders, COVID-19 pandemic, healthcare workers, COVID-19 patients, general population
- MeSH terms
- COVID-19, SARS-CoV-2, Humans, Quarantine, Sleep Wake Disorders, Pandemics
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