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Frontiers in public health · 2026

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

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Bin Chunhui, Li Xuting, Tian Yusheng, Chen Zengyu, Liu Yiting, Ning Meng, Yang Jiaxin, Yu Qiang, Huang Chongmei, Zhang Dan, Yuan Jianghao, Ren Zhenhui, Li Yamin

Аннотация

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.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты