Evidence map›Paper›PMID 33310451›Full record

SynthesisJournal of affective disorders2021

Prevalence of mental health problems during the COVID-19 pandemic: A systematic review and meta-analysis.

Tianchen Wu, Xiaoqian Jia, Huifeng Shi, Jieqiong Niu, Xiaohan Yin, Jialei Xie, Xiaoli Wang

Open access · greenAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of affective disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 624 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
624citing papers in PubMed, 12 pooled it
77.0field-weighted citation impact, top 1% of its field
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

624 citing papers in PubMed, 12 syntheses or guidelines pooled it, 1,172 citations in OpenAlex.

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564 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Tianchen WuDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, China.
Xiaoqian JiaDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; National Health Commission Key Laboratory of Reproductive Health, Beijing, China.
Huifeng ShiDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, China.
Jieqiong NiuDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, China.
Xiaohan YinDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, China.
Jialei XieDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, China.
Xiaoli WangDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, China; National Health Commission Key Laboratory of Reproductive Health, Beijing, China. Electronic address: xlwang@bjmu.edu.cn.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe global COVID-19 pandemic has generated major mental and psychological health problems worldwide. We conducted a meta-analysis to assess the prevalence of depression, anxiety, distress, and insomnia during the COVID-19 pandemic.

methodsWe searched online biomedical databases (PubMed, Embase, Web of Science, Ovid, CNKI, and Wanfang Data) and preprint databases (SSRN, bioRxiv, and MedRxiv) for observational studies from January 1, 2020 to March 16, 2020 investigating the prevalence of mental health problems during the COVID-19 pandemic.

resultsWe retrieved 821 citations from the biomedical databases and 53 citations from the preprint databases: 66 studies with 221,970 participants were included in our meta-analysis. The overall pooled prevalence of depression, anxiety, distress, and insomnia was 31.4%, 31.9%, 41.1% and 37.9%, respectively. Noninfectious chronic disease patients, quarantined persons, and COVID-19 patients had a higher risk of depression (Q=26.73, p<0.01) and anxiety (Q=21.86, p<0.01) than other populations. The general population and non-medical staff had a lower risk of distress than other populations (Q=461.21, p< 0.01). Physicians, nurses, and non-medical staff showed a higher prevalence of insomnia (Q=196.64, p<0.01) than other populations. LIMITATIONS: All included studies were from the early phase of the global pandemic. Additional meta-analyses are needed to obtain more data in all phases of the pandemic.

conclusionsThe COVID-19 pandemic increases the mental health problems of the global population, particularly health care workers, noninfectious chronic disease patients, COVID-19 patients, and quarantined persons. Interventions for mental health are urgently needed for preventing mental health problems.

Indexed as

Mental HealthPandemicsAnxietyChronic DiseaseCOVID-19DepressionHealth PersonnelHumansNoncommunicable DiseasesPrevalencePsychological DistressQuarantineSleep Initiation and Maintenance DisordersAnxietyCOVID-19DepressionDistressInsomniaSystemic review

Identifiers

PMID33310451
PMCPMC7710473
OpenAlexW3108796842

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.