ArticleInternational journal of behavioral medicine2022
Characterizing Patterns of Nurses' Daily Sleep Health: a Latent Profile Analysis.
Article in International journal of behavioral medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Exploring the links between neuropsychological health and stress biomarkers among nurses: a rapid review.International journal of nursing studies advances · 2026Review
- Latent profiles of professional identity and sleep quality and associations with anxiety symptoms among emergency nurses.Frontiers in public health · 2026Article
- 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
- Quality of Sleep Profiles and Mental Health Issues among University Students.Sleep science (Sao Paulo, Brazil) · 2025Article
- Grappling with Whiteness: Latent Profiles of White Racial Consciousness and Affect's Impact on Critical Reflection.Journal of youth and adolescence · 2025Article
- Prevalence of sleep disturbance and associated factors among nurses in Chinese tertiary public hospitals: a national cross-sectional study.Frontiers in public health · 2025Article
- Characterising Potential Subtypes and Influencing Factors of Sleep Quality in Psychiatric Nurses by Latent Profile Analysis.Journal of nursing management · 2024Article
- Psychosocial work characteristics and sleep quality among early career registered nurses: a cross-sectional latent profile analysis.BMC health services research · 2023Article
- Mental Health Status of Healthcare Workers During the Coronavirus Disease 2019 Pandemic: A Survey of Hospitals in Shiraz, Iran.Galen medical journal · 2023Article
- Sleep Quality and Insomnia Severity among Italian University Students: A Latent Profile Analysis.Journal of clinical medicine · 2022Article
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundNursing is a demanding occupation characterized by dramatic sleep disruptions. Yet most studies on nurses' sleep treat sleep disturbances as a homogenous construct and do not use daily measures to address recall biases. Using person-centered analyses, we examined heterogeneity in nurses' daily sleep patterns in relation to psychological and physical health.
methodsNurses (N = 392; 92% female, mean age = 39.54 years) completed 14 daily sleep diaries to assess sleep duration, efficiency, quality, and nightmare severity, as well as measures of psychological functioning and a blood draw to assess inflammatory markers interleukin-6 (IL-6) and C-reactive protein (CRP). Using recommended fit indices and a 3-step approach, latent profile analysis was used to identify the best-fitting class solution.
resultsThe best-fitting solution suggested three classes: (1) "Poor Overall Sleep" (11.2%), (2) "Nightmares Only" (8.4%), (3) "Good Overall Sleep" (80.4%). Compared to nurses in the Good Overall Sleep class, nurses in the Poor Overall Sleep or Nightmares Only classes were more likely to be shift workers and had greater stress, PTSD symptoms, depression, anxiety, and insomnia severity. In multivariate models, every one-unit increase in insomnia severity and IL-6 was associated with a 33% and a 21% increase in the odds of being in the Poor Overall Sleep compared to the Good Overall Sleep class, respectively.
conclusionNurses with more severe and diverse sleep disturbances experience worse health and may be in greatest need of sleep-related and other clinical interventions.
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