Evidence map›Paper›PMID 42656709›Full record

SynthesisFrontiers in public health2026

Prevalence of insomnia in nurses: a meta-analysis of observational studies using the insomnia severity index.

Yunpeng Wu, Tao Cheng, Luying Zhong, Changqi Ye

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yunpeng WuEmergency Department of West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
Tao ChengEmergency Department of West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
Luying ZhongEmergency Department of West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
Changqi YeEmergency Department of West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although the prevalence of insomnia in nurses has been extensively studied, reported estimates vary considerably across studies. This meta-analysis of observational studies was conducted to determine the pooled prevalence of insomnia and to explore its potential moderators in nurses. Methods: A computerized literature search was conducted in PubMed, Web of Science, Scopus, Embase, Cochrane Library, CINAHL, and PsycINFO from inception to June 2026. A random-effects model was used to generate pooled prevalence estimates, along with 95% confidence intervals and prediction intervals. Heterogeneity was assessed using the I Results: Based on 51 studies from 19 countries encompassing 36,971 participants, the pooled prevalence of insomnia in nurses was 55.0% (95% CI: 49.2-60.8, 95% prediction interval: 15.8-90.8%, I Conclusion: Our findings suggest that over half of nurses experience insomnia, though considerable heterogeneity warrants caution in interpretation. Moreover, work unit was identified as a significant moderator. These findings highlight the urgent need for routine sleep screening and evidence-based interventions to address the high insomnia burden in this occupational group.

Indexed as

NursesSleep Initiation and Maintenance DisordersHumansObservational Studies as TopicPrevalenceSeverity of Illness Indexmeta-analysisnursesoccupational healthprevalencesleep initiation and maintenance disorders

Identifiers

PMID42656709
PMCPMC13506856

What OpenQuestion holds

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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.