ArticleJournal of nursing management2024
Characterising Potential Subtypes and Influencing Factors of Sleep Quality in Psychiatric Nurses by Latent Profile Analysis.
Article in Journal of nursing management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Shift work and risk of sleep disturbances in occupational populations: a systematic review and meta-analysis.BMC public health · 2026Pooled it
- Latent profile analysis and influencing factors of compassion fatigue in intensive care unit nurses.Scientific reports · 2026Article
- The relationship between sleep quality and occupational identity among psychiatric night shift nurses.Frontiers in psychiatry · 2026Article
- Latent profiles of professional identity and sleep quality and associations with anxiety symptoms among emergency nurses.Frontiers in public health · 2026Article
- Latent profile analysis of sleep quality and associated factors on sleep patterns in night-shift nurses: a cross-sectional study.Frontiers in public health · 2026Article
- The association between perceived mortality exposure and nurses' depressive symptomes, through life satisfaction, and sleep quality.Frontiers in public health · 2026Article
- Not all distress is the same: profiles of stress, anxiety, and depression among university students.Frontiers in psychology · 2026Article
- Latent profile analysis and related factors for fear of progression among nasopharyngeal carcinoma patients.Frontiers in psychology · 2026Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Sleep is a crucial factor affecting an individual's physical and mental health. Psychiatric nurses work under high stress and load, and it is necessary to understand the sleep quality of psychiatric nurses and the influencing factors. However, individual-centred studies of psychiatric nurses' sleep are limited. Aims: To explore the heterogeneity in sleep quality among psychiatric nurses, to identify the factors influencing different subtypes, and to provide targeted strategies and measures to improve their sleep quality. Methods: From August to October 2022, 298 psychiatric nurses working in a mental health centre in Liaoning Province were selected as the participants. The study involved administering the following two questionnaires: the general information questionnaire and the Pittsburgh Sleep Quality Index (PSQI). Data analyses included latent profile analysis, Kruskal-Wallis Results: The prevalence of poor sleep quality (PSQI >5) among psychiatric nurses was 54.7%. The sleep quality of psychiatric nurses could be classified into the following three distinct profiles: good sleep quality, moderate sleep quality, and poor sleep quality. Nurses who were over 40 years of age, unmarried/divorced/separated/widowed, worked more than 40 hours per week, experienced significant life events in the past year, had poor nurse-patient relationships, and had chronic diseases were more likely to have poorer sleep quality. Conclusions: There was significant heterogeneity in sleep quality among psychiatric nurses. Age, marital status, work schedule, total weekly working hours, night shifts, special life events, nurse-patient relationships, and chronic diseases were associated with their sleep quality.
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