ArticleBMC nursing2026
Latent profile analysis of self-regulatory fatigue among oncology nurses: a multicenter cross-sectional study.
Article in BMC nursing, 2026. 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.
- Prevalence of secondary traumatic stress and its associated factors among oncology nurses: a multicenter cross-sectional study.Frontiers in public health · 2026Article
- Prevalence of poor sleep quality and its associated factors in nurses: a multicenter cross-sectional study.Frontiers in public health · 2026Article
- Patterns and Predictors of Self-Regulatory Fatigue Among Intensive Care Unit Nurses: A Person-Centered Latent Profile Analysis.Journal of nursing management · 2026Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study identified latent categories of self-regulatory fatigue among oncology nurses, clarified their characteristic differences, and examined associated factors to inform targeted interventions.
methodsA cross-sectional design with convenience sampling was employed. From January to June 2025, 675 nurses from oncology specialized hospitals in Guangdong Province, China, completed a general information questionnaire, the Nurse Self-Depletion Scale, the Perceived Social Support Scale, the Differential Atmosphere Scale, and the Trait Anxiety Inventory. Latent profile analysis classified self-regulatory fatigue, and ordinal multinomial logistic regression assessed associated factors.
resultsThree fatigue profiles emerged: “low depletion” (n = 248, 36.74%); “moderate depletion” (n = 111, 16.44%); and “high depletion” (n = 316, 46.82%). Ordinal multinomial logistic regression revealed that education level, employment status, work environment, trait anxiety, perceived social support, and perception of differential atmosphere significantly influenced self-regulatory fatigue.
conclusionsIndividual oncology nurses present distinct self-regulatory fatigue profiles. Nursing administrators should conduct routine screening and evaluation, and implement interventions targeting these determinants to mitigate self-depletion, thereby advancing nurses’ professional well-being and nursing service quality.
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