Evidence map›Paper›PMID 41648768›Full record

ArticleFrontiers in public health2025

Prevalence of sleep disturbance and associated factors among nurses in Chinese tertiary public hospitals: a national cross-sectional study.

Chunhui Bin, Xuting Li, Yusheng Tian, Zengyu Chen, Yiting Liu, Meng Ning, Jiaxin Yang, Qiang Yu, Chongmei Huang, Dan Zhang and 3 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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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

13 authors.

Chunhui BinXiangya Nursing School of Central South University, Changsha, Hunan, China.
Xuting LiClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yusheng TianClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zengyu ChenClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yiting LiuClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Meng NingXiangya Nursing School of Central South University, Changsha, Hunan, China.
Jiaxin YangClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qiang YuClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Chongmei HuangSchool of Nursing at Ningxia Medical University, Yinchuan, Ningxia, China.
Dan ZhangXiangya Nursing School of Central South University, Changsha, Hunan, China.
Jianghao YuanXiangya Nursing School of Central South University, Changsha, Hunan, China.
Zhenhui RenXiangya Nursing School of Central South University, Changsha, Hunan, China.
Yamin LiHunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sleep disturbance is a critical occupational health issue among nurses, jeopardizing their well-being and patient safety. Identifying its prevalence and modifiable factors is essential for developing effective interventions. Objectives: This study aimed to determine the national prevalence of sleep disturbance and explore associated demographic, occupational, and behavioral factors among Chinese nurses. Methods: In this nationwide cross-sectional study, we analyzed baseline data from the Nurses' Mental Health Study (NMHS), a primary database established and maintained by the authors. A total of 132,910 nurses from 67 tertiary public hospitals in China were included between December 2023 and January 2024. Data were collected electronically via a structured questionnaire. Chi-square tests and binary logistic regression were used to identify factors associated with sleep disturbances. Results: The overall prevalence of sleep disturbances was 24.1%. Difficulty initiating sleep (13.3%), difficulty maintaining sleep (15.5%), and early morning awakening (15.4%) were most common, with higher rates in critical care, emergency, pediatrics, and obstetrics. Factors associated with increased odds of sleep disturbance included age (30-39 years), female sex, intermediate professional title, lower education, longer working experience, night shift work, smoking, alcohol use, and physical inactivity. Conclusion: Sleep disturbance is prevalent among Chinese nurses and associated with scheduling patterns and health behaviors. To mitigate risk, healthcare organizations should optimize shift schedules, enhance support for high-risk nurses, and allocate resources to high-burden clinical departments. Nurses are also encouraged to adopt healthier lifestyles to improve sleep quality and occupational safety. Clinical trial registration: Identifier ChiCTR2300072142.

Indexed as

Hospitals, PublicNursing Staff, HospitalSleep Wake DisordersAdultChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsSurveys and QuestionnairesTertiary Care CentersWorking Conditionscross-sectional studynurseoccupational healthsleep disturbanceworkplace factors

Identifiers

PMID41648768
PMCPMC12871391

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LicenceCC BY
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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.