Latent profile analysis of nurses'job embeddedness and its influencing factors
AN Haibing
JIA Lixia
ZHAO Meiping
ZHANG Meixia
ZHONG Yongfang
LI Jie
FU Dongjing
ZHAO Gaimei
Abstract：Objective To explore the potential categories of nurses'job embeddedness based on latent profile analysis,and to analyze the heterogeneity among categories and their influencing factors.Methods A total of 627 nurses from six public hospitals in Ordos City were investigated by general information questionnaire,Job Embeddedness Questionnaire,Psychological Capital Questionnaire,and Caring Assess⁃ment Tool-administration.Latent profile analysis and unordered multicategory Logistic regression analysis were used to explore the characteris⁃tics of potential categories and the influencing factors.Results The potential categories of nurse job embeddedness were divided into 4 cate⁃gories,low job-embedded(14.83％),high balance(3.19％),medium job-embedded(58.37％),and high job-embedded(23.61％).The influencing factors were hospital level,form of employment,average monthly income,psychological capital and perceived degree of manage⁃ment care(P<0.05).Conclusion There are significant category characteristics of nurses'job embeddedness.Nursing managers should for⁃mulate targeted physical and mental interventions to improve the level of nurses'job embeddedness.
Keywords：nursejob embeddednesspsychological capitalperceived leadership carelatent profile analysisnursing management
Publication Date：2024-10-10
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 904-909 )