ArticleFrontiers in psychology2025
Latent profiles of job embeddedness and their predictors among specialist nurses in China.
Article in Frontiers in psychology, 2025. 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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3 citing papers in PubMed.
- Fitting in, Standing out: Latent profiles of personal niche construction strategies at the workplace among Hungarian physicians.BMC health services research · 2026Article
- A latent profile analysis of artificial intelligence literacy among undergraduate nursing students: a cross-sectional study.BMC nursing · 2026Article
- The relationship between emotional exhaustion and job embeddedness in nurses: the mediating role of decent work perception and the moderating role of job crafting.Frontiers in psychology · 2025Article
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7 authors.
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Abstract
Objective: The aim of this study is to identify potential categories of job embeddedness among specialist nurses using latent profile analysis, explore the demographic characteristics of each subgroup, and examine the relationship between these profiles and their sense of professional mission. Methods: From March to April 2024, 492 specialist nurses from six general hospitals in Sichuan Province, China, were selected in this study using convenience sampling. A socio-demographic characteristic questionnaire, job embeddedness scale, and professional mission scale were used. Mplus 8.3 was used to explore the potential subgroups of job embeddedness among specialist nurses by latent profile analysis. IBM SPSS 26.0 was used to analyze the factors influencing the job embeddedness of specialist nurses in each category using univariate and Multinomial logistic regression analyses. Results: 484 specialist nurses were finally included. Specialist nurses' job embeddedness score was (27.63 ± 4.89). Specialist nurses' job embeddedness could be categorized into three potential profiles: low embedded-alienation group ( Conclusion: There is significant heterogeneity in job embeddedness among specialist nurses, with medium job-embedded group and high embedded-identity groups dominating. Nursing managers should develop targeted intervention strategies based on the characteristics of different job embeddedness types of specialist nurses, such as optimizing human resource allocation and strengthening positive publicity for specialist nurses to stimulate a sense of professional mission among specialist nurses, which will enhance job embeddedness and reduce the turnover rate of specialist nurses.
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