Subjective well-being and its influencing factors of clinical nurses: a cross-sectional study based on latent profiles analysis
- 1Weifang University of Science and Technology , ,
Abstract
Objective: To investigate the latent class characteristics of subjective well-being among clinical nurses, analyze the influencing factors of different classes, and provide a reference for developing targeted intervention measures.
Methods: Using a convenience sampling method, 358 clinical nurses were recruited from five tertiary general hospitals in Weifang, Shandong Province, between September and December 2025. A general information questionnaire, the General Well-Being Schedule, and the Psychological Reward Satisfaction Scale were used for the survey. Latent profile analysis was employed to establish the latent class model of clinical nurses’ subjective well-being, and multivariate logistic regression was used to analyze the influencing factors of different subjective well-being classes.
Results: Clinical nurses’ subjective well-being could be classified into three latent classes: the Low Well-being-Emotional Control Group (11.9%), the Moderate Well-being-Overall Fluctuation Group (61.0%), and the High Well-being-Health Concern Group (27.2%). Work intensity, family economy, department, whether to engage in nursing again, and psychological reward satisfaction were influencing factors of different latent profiles of clinical nurses’ subjective well-being ( p < 0.05). A 1-point increase in psychological reward satisfaction was associated with a 14.0% decrease in the odds of being classified into the Low Well-being-Emotional Control Group (OR = 0.860, 95% CI: 0.798–0.927), indicating that psychological reward satisfaction served as an independent protective factor.
Conclusion: There is significant heterogeneity in clinical nurses’ subjective well-being. Nursing managers should pay special attention to clinical nurses in the “Low Well-being-Emotional Control Group” and implement interventions based on the influencing factors of different latent profiles to improve their subjective well-being.
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BibTeX
@article{zhao2026subjective,
title = {{Subjective well-being and its influencing factors of clinical nurses: a cross-sectional study based on latent profiles analysis}},
author = {Yanjun Zhao and Fangyan Yan and Ping Ma and Haiying Sui and Yunying Lin},
journal = {Frontiers in public health},
year = {2026},
month = oct,
doi = {10.3389/fpubh.2026.1969381},
url = {https://europepmc.org/article/PMC/PMC13668582},
note = {CC BY},
}
RIS
TY - JOUR
TI - Subjective well-being and its influencing factors of clinical nurses: a cross-sectional study based on latent profiles analysis
AU - Yanjun Zhao
AU - Fangyan Yan
AU - Ping Ma
AU - Haiying Sui
AU - Yunying Lin
PY - 2026
DA - 2026/10/01
JO - Frontiers in public health
DO - 10.3389/fpubh.2026.1969381
UR - https://europepmc.org/article/PMC/PMC13668582
AB - Objective: To investigate the latent class characteristics of subjective well-being among clinical nurses, analyze the influencing factors of different classes, and provide a reference for developing targeted intervention measures. Methods: Using a convenience sampling method, 358 clinical nurses were recruited from five tertiary general hospitals in Weifang, Shandong Province, between September and December 2025. A general information questionnaire, the General Well-Being Schedule, and the Psychological Reward Satisfaction Scale were used for the survey. Latent profile analysis was employed to establish the latent class model of clinical nurses’ subjective well-being, and multivariate logistic regression was used to analyze the influencing factors of different subjective well-being classes. Results: Clinical nurses’ subjective well-being could be classified into three latent classes: the Low Well-being-Emotional Control Group (11.9%), the Moderate Well-being-Overall Fluctuation Group (61.0%), and the High Well-being-Health Concern Group (27.2%). Work intensity, family economy, department, whether to engage in nursing again, and psychological reward satisfaction were influencing factors of different latent profiles of clinical nurses’ subjective well-being ( p < 0.05). A 1-point increase in psychological reward satisfaction was associated with a 14.0% decrease in the odds of being classified into the Low Well-being-Emotional Control Group (OR = 0.860, 95% CI: 0.798–0.927), indicating that psychological reward satisfaction served as an independent protective factor. Conclusion: There is significant heterogeneity in clinical nurses’ subjective well-being. Nursing managers should pay special attention to clinical nurses in the “Low Well-being-Emotional Control Group” and implement interventions based on the influencing factors of different latent profiles to improve their subjective well-being.
SN - 2296-2565
ER -