ArticleBMJ open2025
Latent profile analysis and influence factor study of well-being among nurses in China: a cross-sectional study.
Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Identifying latent profiles of emotional labor and exploring their links to psychological resilience among tertiary hospital nurses.Frontiers in psychology · 2025Article
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9 authors.
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Abstract
objectiveThe present study employed latent profile analysis (LPA) to identify three distinct profiles of subjective well-being (SWB) among Chinese nurses. It further examined the factors influencing these profiles and aimed to provide a foundation for targeted interventions to enhance nurses'SWB.
designA cross-sectional study was conducted between November 2023 and March 2024.
settingData were collected from three Class III Grade A hospitals in China.
participantsA total of 2272 nurses were recruited for this study. OUTCOME MEASURES: Data collection used a demographic questionnaire, the SWB Scale, the Nurse Job Satisfaction Scale and the Perceived Social Support Scale. LPA identified distinct SWB characteristics, and influencing factors were analysed using χ
resultsNurses' SWB was classified into three profiles: (1)
conclusionGiven the heterogeneity of nurses' SWB identified through LPA, healthcare institutions may design evidence-based interventions tailored to specific profiles (eg, high health concern-low well-being groups) and key predictors (eg, job satisfaction and social support) to promote sustainable well-being and reduce burnout risks.
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