Evidence map›Paper›PMID 40477944›Full record

ArticleTrends in psychology2023

The Global Prevalence of Depression, Anxiety, Stress, and Insomnia Among General Population During COVID-19 Pandemic: A Systematic Review and Meta-analysis.

Sultan Mahmud, Md Mohsin, Md Nayem Dewan, Abdul Muyeed

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Trends in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 7 pooled it
–field-weighted citation impact
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

86 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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26 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

4 authors.

Sultan MahmudDepartment of Applied Statistics, Institute of Statistical Research and Training, University of Dhaka, Dhaka, 1000 Bangladesh.ORCID 0000-0003-0757-7630
Md MohsinDepartment of Applied Statistics, Institute of Statistical Research and Training, University of Dhaka, Dhaka, 1000 Bangladesh.
Md Nayem DewanDepartment of Applied Statistics, Institute of Statistical Research and Training, University of Dhaka, Dhaka, 1000 Bangladesh.
Abdul MuyeedDepartment of Statistics, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh 2224 Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to examine research findings related to depression, anxiety, stress, and insomnia during the COVID-19 pandemic. This study also explored periodic changes in the prevalence of depression, anxiety, stress, and insomnia among the general people during this pandemic. We performed a meta-analysis by searching articles from several sources (PubMed, MEDLINE, and Google Scholar). We used the random-effects models, subgroup analysis, and heterogeneity test approaches. Results show that the prevalence of depression, stress, and insomnia increased during March to April 2020 (30.51%, 29.4%, and 25%, respectively) compared to the study period before February 2020 (25.25%, 16.27%, and 22.63%, respectively) and followed in May to June 2020 (16.47%, 5.1%, and 19.86, respectively). The prevalence of depression and anxiety from

Indexed as

AnxietyCOVID-19DepressionGeneral populationInsomniaMeta-analysisStress

Identifiers

PMID40477944
PMCPMC8726528

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.