Latent profiles analysis of nurses'social well-being based on social ecosystems theory and its influencing factors

XU Xueru; WU Ping; ZHANG Mengchao; MA Yuxuan; LIU Weiliang; DUAN Zhiguang

doi:10.12102/j.issn.1009-6493.2026.07.003

Abstract：Objective:Based on social ecosystems theory,to investigate the current status of nurses'social well-being in tertiary hospitals,and to analyze its potential categories and influencing factors.Methods:A total of 658 nurses from four tertiary hospitals in Xi'an city were selected by convenience sampling method.They were investigated by using a general information questionnaire,the Social well-being scale,the Perceptive social support scale and the Gratitude scale.Social well-being categories of them were identified through latent profile analysis.The influencing factors of each category were identified by utilizing univariate analysis and logistic regression analysis.Results:The Social well-being level of nurses was divided into three categories:low well-being-imbalanced(30.1%),medium well-being-chaotic(48.5%),and high well-being-positive(21.4%).Logistic regression analysis showed that working years,gratitude level,and perceiving social support are microsystem level influences of nurses'social well-being,and marital status,and affiliation to the department are microsystem level influences of nurses'social well-being.The P-values for all of these influences were less than 0.05.Conclusions:The social well-being level of nurses exhibited heterogeneity.Nursing managers should build differentiated intervention programs oriented to different categories of groups based on the Social Ecosystems Theory.They should enhance the level of nurses'well-being through targeting,to form a positive incentive cycle,to drive the optimization of the quality of nursing services in hospitals,so as to improve the patients'experience of medical treatment,and to enhance healthcare service satisfaction.