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Sleep disturbances during the COVID-19 pandemic: A systematic review, meta-analysis, and meta-regression - 28/04/22

Doi : 10.1016/j.smrv.2022.101591 
Haitham A. Jahrami a, b, , Omar A. Alhaj c, Ali M. Humood b, Ahmad F. Alenezi b, Feten Fekih-Romdhane d, e, Maha M. AlRasheed f, Zahra Q. Saif a, Nicola Luigi Bragazzi g, Seithikurippu R. Pandi-Perumal h, i, Ahmed S. BaHammam j, k, Michael V. Vitiello l
a Ministry of Health, Bahrain 
b College of Medicine and Medical Sciences, Arabian Gulf University, Bahrain 
c Department of Nutrition, Faculty of Pharmacy and Medical Science, University of Petra, Amman, Jordan 
d The Tunisian Center of Early Intervention in Psychosis, Psychiatry Department “Ibn Omrane”, Tunisia 
e Tunis El Manar University, Faculty of Medicine of Tunis, Tunisia 
f Clinical Pharmacy Department, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia 
g Laboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Toronto, Canada 
h Somnogen Canada Inc., College Street, Toronto, Canada 
i Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India 
j Department of Medicine, College of Medicine, University Sleep Disorders Center, King Saud University, Saudi Arabia 
k The Strategic Technologies Program of the National Plan for Sciences and Technology and Innovation in the Kingdom of Saudi Arabia, Riyadh, Saudi Arabia 
l Psychiatry & Behavioral Sciences, Gerontology & Geriatric Medicine, and Biobehavioral Nursing, University of Washington, Seattle, WA 98195-6560, United States 

Corresponding author. College of Medicine and Medical Sciences, Arabian Gulf University, P.O. Box: 26671, Manama, Bahrain.College of Medicine and Medical SciencesArabian Gulf UniversityP.O. Box: 26671ManamaBahrain

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Summary

This systematic review and meta-analysis evaluated the extent of sleep disturbances during the COVID-19 pandemic. Eleven databases and six preprint repositories were searched for the period from November 1, 2019, to July 15, 2021. The DerSimonian and Laird method was used to develop random-effect meta-analyses. Two hundred and fifty studies comprising 493,475 participants from 49 countries were included. During COVID-19, the estimated global prevalence of sleep disturbances was 40.49% [37.56; 43.48%]. Bayesian meta-analysis revealed an odds of 0.68 [0.59; 0.77] which translates to a rate of approximately 41%. This provides reassurance that the estimated rate using classical meta-analysis is robust. Six major populations were identified; the estimated prevalence of sleep problem was 52.39% [41.69; 62.88%] among patients infected with COVID-19, 45.96% [36.90; 55.30%] among children and adolescents, 42.47% [37.95; 47.12%] among healthcare workers, 41.50% [32.98; 50.56%] among special populations with healthcare needs, 41.16% [28.76; 54.79%] among university students, and 36.73% [32.32; 41.38%] among the general population. Sleep disturbances were higher during lockdown compared to no lockdown, 42.49% versus 37.97%. Four in every ten individuals reported a sleep problem during the COVID-19 pandemic. Patients infected with the disease, children, and adolescents appeared to be the most affected groups.

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Keywords : Sleep disorder, Sleep disturbance, Pandemic, Insomnia, Sleep hygiene, Circadian rhythm

Abbreviations : AIS, Decimal, DOI, GOSH, IPD, ISI, MeSH, NOS, Prisma, PSQI


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Vol 62

Artículo 101591- avril 2022 Regresar al número
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