Latent profile analysis and influence factor study of well-being among nurses in China: a cross-sectional study

Given 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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Publication Details

Journal
BMJ Open
Published
2025-05-01
DOI
https://doi.org/10.1136/bmjopen-2024-095858
Citations
3
Primary Topic
Healthcare professionals’ stress and burnout
Type
article
Field-Weighted Citation Impact
8.45
Controls
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article

Latent profile analysis and influence factor study of well-being among nurses in China: a cross-sectional study

Ping-Ping Su, Li-yong Wen, Haihuan Feng, Xiaoyu Feng et al.
3 citations
BMJ Open
Healthcare professionals’ stress and burnout
8.45
article

Latent profile analysis and influence factor study of well-being among nurses in China: a cross-sectional study

Ping-Ping Su, Li-yong Wen, Haihuan Feng, Xiaoyu Feng, Maggie Jing Ouyang, Si Chen, Xiaobing Wu, Feifei Chang, Hui Hu
article en
3 citations

Abstract

Given 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.

BMJ OpenVol. 15(5)
First Affiliated Hospital of Guangzhou Medical University (CN), Guangzhou Medical University (CN)
Decent work and economic growth
Openalex Percentile: Top 3%
Healthcare professionals’ stress and burnout
8.45
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