ArticleHeliyon2022
Sleep quality and the associated factors among in-hospital nursing assistants in general hospital: A cross-sectional study.
Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Characterizing Sleep Disturbance Subgroups and Identifying Associated Factors in Traditional Chinese Medicine Nurses: A Latent Profile Analysis and Explainable Machine Learning Approach.Journal of nursing management · 2026Article
- Effort-reward imbalance, subjective sleep quality, and inflammation in female nurses at a tertiary hospital: a pilot study.Scientific reports · 2025Article
- Social relational quality and ethical climate as the predictors of sleep quality in employees of the operating room: a hierarchical linear regression analysis.BMC health services research · 2025Article
- Sleep quality among emergency nurses and its influencing factors during COVID-19 pandemic: a cross-sectional study.Frontiers in psychology · 2024Article
- The associations between working conditions and subjective sleep quality among female migrant care workers.Frontiers in public health · 2023Article
- Sociodemographic Aspects and Healthy Behaviors Associated With Perceived Life Satisfaction in Health Professionals.Journal of primary care & community healthArticle
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Sleep quality and the associated factors in professional nurses have been extensively investigated. However, as an important part of the workforce in hospitals, sleep quality and influencing factors among in-hospital nursing assistants is rarely investigated. Aim: This study aimed to assess the sleep quality and the associated factors of in-hospital nursing assistants in general hospital. Methods: A cross-sectional survey study was conducted in a tertiary general hospital. Data were collected from 187 in-hospital nursing assistants using convenience sampling from June to July 2018. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate participants' sleep quality. A multiple linear regression was performed to identify associated factors with sleep quality. Results: This study revealed a mean PSQI score of 5.96 ± 3.64 among all participants, of which 62.3% (114/187) participants suffered from impaired sleep quality. In-hospital nursing assistants with significant medical condition, low monthly income, irregular diet and high family burden reported more worse sleep quality. Conclusion: The study showed that poor sleep quality is a highly prevalent issue among Chinese in-hospital nursing assistants in general hospital. Measures to enhance nursing assistants' wellbeing status (health and burden) and improve their salary (monthly income) are recommended.
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