Evidence map›Paper›PMID 36030616›Full record

SynthesisSleep medicine2022

The prevalence and severity of insomnia symptoms during COVID-19: A global systematic review and individual participant data meta-analysis.

Maha M AlRasheed, Feten Fekih-Romdhane, Haitham Jahrami, Gabriel Natan Pires, Zahra Saif, Ahmad F Alenezi, Ali Humood, Wen Chen, Haijiang Dai, Nicola Bragazzi and 4 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Sleep medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 3 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Maha M AlRasheedClinical Pharmacy Department, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia; Princess Noura bint Abdul Rahman University, Riyadh, Saudi Arabia. Electronic address: mahalrasheed@ksu.edu.sa.
Feten Fekih-RomdhaneThe Tunisian Center of Early Intervention in Psychosis, Psychiatry Department "Ibn Omrane", Tunisia; Tunis El Manar University, Faculty of Medicine of Tunis, Tunisia.
Haitham JahramiMinistry of Health, Manama, Bahrain; Department of Psychiatry, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain.
Gabriel Natan PiresFederal University of São Paulo, Brazil.
Zahra SaifMinistry of Health, Manama, Bahrain.
Ahmad F AleneziDepartment of Psychiatry, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain.
Ali HumoodDepartment of Psychiatry, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain.
Wen ChenDepartment of Psychiatry, Xiamen Xianyue Hospital, Xiamen, 361000, China.
Haijiang DaiDepartment of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, 410013, China.
Nicola BragazziDepartment of Mathematics and Statistics, Laboratory for Industrial and Applied Mathematics (LIAM), York University, Toronto, Canada.
Seithikurippu R Pandi-PerumalSomnogen Canada Inc., College Street, Toronto, Canada; Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.
Ahmed S BaHammamDepartment of Medicine, College of Medicine, University Sleep Disorders Center, King Saud University, Riyadh, 11324, Saudi Arabia; The Strategic Technologies Program of the National Plan for Sciences and Technology and Innovation in the Kingdom of Saudi Arabia, Riyadh, Saudi Arabia.
Michael V VitielloPsychiatry & Behavioral Sciences, Gerontology & Geriatric Medicine, and Biobehavioral Nursing, University of Washington, Seattle, WA, 98 l 95-6560, USA.
COMITY investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThere have been no previous meta-analytic studies that have looked at the prevalence of insomnia symptoms in different COVID-19 groups using a single assessment instrument to evaluate insomnia symptoms while maintaining data homogeneity. The current review's associated goal is to undertake an individual participant data (IPD) analysis to further investigate past meta-analyses, a method that has been shown to be more robust than standard meta-analyses. MEETHODS: Only studies that used the Insomnia Severity Index (ISI) to assess insomnia are used in this analysis. The IPDMA was performed and registered in PROSPERO in compliance with the PRISMA IPD Statement (CRD42021275817). From November 2019 to August 2021, researchers explored seventeen databases and six preprint services for relevant studies.

resultsThe pooled estimate of insomnia symptoms (subthreshold and clinically significant) was 52.57%. An estimated 16.66% of the population suffered from clinically significant insomnia, of which 13.75% suffered from moderate insomnia, and 2.50% suffered from severe insomnia. The different populations' grouping had no statistically significant differences in the prevalence of insomnia symptoms. Insomnia symptoms did not appear to be associated with age or sex.

conclusionOur findings imply that the COVID-19 pandemic is linked to a significant rise in subthreshold insomnia symptoms, but not to moderate or severe insomnia. Educating people from all walks of life about the importance of sleep and the risk of acquiring insomnia symptoms during this or future pandemics should be a top concern.

Indexed as

COVID-19Sleep Initiation and Maintenance DisordersHumansPandemicsPrevalenceSleepCircadian rhythmInsomniaKewords: sleep disorderPandemicSleep disturbanceSleep hygiene

Identifiers

PMID36030616
PMCPMC9359588

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.