ArticleFrontiers in public health2025
Emotional labor and its influencing factors of clinical nurses: a cross-sectional study based on latent profile analysis.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Quiet Quitting and Associated Factors Among Healthcare Professionals: A Systematic Review and Meta-Analysis.Journal of nursing management · 2026Pooled it
- Moral injury and influencing factors among palliative care nurses : a cross-sectional study.BMC palliative care · 2026Article
- Subjective well-being and its influencing factors of clinical nurses: a cross-sectional study based on latent profiles analysis.Frontiers in public health · 2026Article
- The relationship between secondary traumatic stress and secondary posttraumatic growth in clinical nurses: a cross-sectional study based on latent profile analysis.Frontiers in public health · 2026Article
- Future work self-salience and perceived professional benefits among nursing interns in China: the indirect roles of clinical belongingness and deep acting in a cross-sectional structural equation modeling study.Frontiers in medicine · 2026Article
- Self-worth, emotional labor, work engagement, and anxiety among nurses: a latent profile and mediation analysis.Frontiers in public health · 2026Article
- Predicting Professional Identity Among Chinese Nurses Using the Job Demands-Resources Model: A Comparative Machine-Learning Study.Journal of nursing management · 2026Article
- Heterogeneity in dual-career stress: an integrative person-centered and distribution-sensitive analysis of its asymmetric effects on adolescent football players.Frontiers in psychology · 2026Article
- Latent profiles of humanistic care competence among psychiatric nurses: a cross-sectional study.Frontiers in psychology · 2026Article
- The impact of emotional labor on sleep-related worry among pediatric nurses in Chinese public hospitals: the mediating role of self-regulatory fatigue.Frontiers in public health · 2026Article
- Latent profile analysis of sleep quality and associated factors on sleep patterns in night-shift nurses: a cross-sectional study.Frontiers in public health · 2026Article
- 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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4 authors.
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Abstract
Objective: The present study aimed to investigate latent classes of emotional labor among clinical nurses in China and analyze the influencing factors of emotional labor. With this as a reference, care managers can develop more targeted emotional labor intervention programs. Methods: This study enrolled 1,320 clinical nurses by using stratified random sampling from August to October 2023. A total of 1,279 nurses completed the following questionnaires: General Information Questionnaire, Emotional Labor Scale, Generalized Anxiety Disorder-7 scale (GAD-7), Patient Health Questionnaire-9 scale (PHQ-9), and Work-Family Conflict Scale. Based on the Emotional Labor Scale, the latent profile analysis (LPA) was used to explore the latent classes of nurses' emotional labor. Then, univariate analysis and multivariate logistic regression analysis were used to explore the influencing factors of emotional labor. Results: Three latent classes were identified: generally low-level group (1.5%), high-level deep-acting group (17.2%), and high-level surface-acting group (81.3%). Male nurses were more likely to be in the generally low-level group than female nurses. Nurses with low scores on Work-Family Conflict Scale were more likely to be in the high-level deep-acting group than those with high scores. Compared with the nurses with very poor health, the nurses with very good health were more likely to be in the high-level deep-acting group, and nurses with general health were more likely to be in the high-level surface-acting group. Conclusion: The emotional labor of clinical nurses can be identified into three latent classes. Nursing managers can predict the latent classes of emotional labor based on characteristics such as demographic information and work-family conflict. Therefore, precise intervention can be implemented to reduce the consumption of internal resources and the occurrence of nursing adverse events caused by excessive emotional labor.
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