Authors
Ting Wang, Xiaoyu Gou, Yilin Fu, Tongyan Zhang, Xiumin Yin, Ying Peng
Published in
Frontiers in psychology. Volume 17. Pages 1897894. Epub Sep 28, 2026.
Abstract
Emergency department nurses are consistently exposed to high-intensity and high-pressure working conditions, leading to poor sleep quality. Psychological resilience can help alleviate the negative impacts of work stress. However, few studies have explored how resilience varies across distinct subgroups defined by different sleep profiles. This study employed latent profile analysis to identify distinct sleep-quality profiles among emergency department nurses and explored their association with psychological resilience to provide a basis for targeted interventions.
From October to December 2025, 611 emergency nurses were recruited from 12 tertiary hospitals in Shandong through convenience sampling. Data were collected using a sociodemographic questionnaire, the Connor-Davidson Resilience Scale, and the Pittsburgh Sleep Quality Index. Sleep quality profiles were determined through latent profile analysis, and associated factors were analyzed using multiple logistic regression.
Emergency department nurses exhibited generally poor sleep quality, which was classified into four distinct profiles: "severely disturbed sleep" (8.0%), "sleep onset difficulty-sleep medication use" (15.1%), "mildly disturbed sleep" (26.7%), and "good sleep quality" (50.2%). Psychological resilience, age, work experience, monthly income, and monthly night shift number were significantly associated with these sleep quality profiles (p < 0.05).
Emergency department nurses exhibit distinct sleep quality profiles. Targeted interventions addressing the specific factors associated with each subgroup could improve their sleep outcomes.
PMID:
42865599
Bibliographic data and abstract were imported from PubMed on 13 Oct 2026.
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