ArticleNursing open2025
Nurses' Sleep Quality and Its Influencing Factors During the First Explosive COVID-19 Outbreak in Zhejiang, China, After the Relaxation of Epidemic Prevention and Control Measures: A Multicentre Cross-Sectional Study.
Article in Nursing open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Construction and Multidimensional Verification of Clinical Practice Standards for Physical Restraint: A Four-Year Retrospective Quality Improvement Study.Journal of multidisciplinary healthcare · 2026Article
- Emotional symptom networks in ICU nurses: a comparative network analysis of tertiary-A and tertiary-B hospitals in China.BMC nursing · 2025Article
- Current Landscape and Multidimensional Determinants of Spiritual Coping Mechanisms Among Tuberculosis Patients in Zhejiang, China: A Population-Based Cross-Sectional Investigation.Risk management and healthcare policy · 2025Article
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8 authors.
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Abstract
aimTo investigate the sleep quality and its influencing factors among nurses in hospitals in Zhejiang, China, during the first explosive COVID-19 outbreak following the relaxation of prevention and control measures.
designA multicentre cross-sectional study.
methodsBetween 10 January and 20 January 2023-approximately 1 month after the policy was loosened-a total of 573 nurses from tertiary and community hospitals in Zhejiang participated in an online, self-administered survey. The participants were recruited using convenience sampling, and the survey was distributed via the WeChat platform. The survey included a general information form; the Self-Rating Scale of Sleep (SRSS); the Depression, Anxiety, and Stress Scale-21 (DASS-21); the Perceived Social Support Scale (PSSS); and the Brief Resilience Scale (BRS). Data analysis was conducted using SPSS version 26.0. Statistical methods employed included t-tests, one-way analysis of variance (ANOVA), chi-square tests and Mann-Whitney U-tests for comparisons between groups. Pearson correlation coefficients were calculated to analyse the relationship between the SRSS score and the DASS-21, PSSS and BRS scores. A multiple linear stepwise regression analysis was conducted to determine the independent influencing factors of sleep quality.
resultsMore than 90% of the nurses were infected with COVID-19, and 60.6% had sleep disorders. The regression analysis revealed that anxiety, the BRS score, comorbidities, hospital grade, clinical front-line, age and COVID-19 infection independently predicted sleep quality. The scores for several SRSS items were higher than the Chinese norm, especially for the nurses in tertiary hospitals. PATIENT AND PUBLIC CONTRIBUTION: No patient or public contribution.
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