Current status and latent profile analysis of nurses'health promotion lifestyle in tertiary comprehensive hospitals
Objective To understand the current status of nurses'health promotion lifestyle in tertiary comprehensive hospitals,explore the category characteristics of nurses'health promotion lifestyle,and analyze the influencing factors under different categories.Methods From March to April 2023,a multi-stage sampling method was used to select 1326 nurses from 10 tertiary comprehensive hospitals in Hunan Province as the research subjects.A cross-sectional survey was conducted by General Information Questionnaire,Health Promotion Lifestyle Profile Scale,Self-Rated Abilities for Health Practices Scale,Health Behavior Self-Efficacy Assessment Scale,and Nursing Work Environment Scale.Latent profile analysis(LPA)of nurses'health promotion lifestyle was conducted,and the influencing factors of different profiles were explored through univariate analysis and logistic regression analysis.Results A total of 1220 nurses were included,and the score of Health Promotion Lifestyle Profile Scale was(62.61±18.67)points.Nurses'health promotion lifestyle in tertiary comprehensive hospitals can be divided into 3 profiles,namely survival type(25.41％),vitality type(21.97％)and normal type(52.62％).The results of logistic regression analysis showed that coping strategies for stress,non-occupational physical activity,perceived health status,health behavior self-efficacy,and nursing work environment are the influencing factors of nurses'health promotion lifestyle in tertiary comprehensive hospitals(P＜0.05).Conclusion Nurses'health promotion lifestyle in tertiary comprehensive hospitals exhibit significant heterogeneity.It is recommended that nursing managers carry out individualized interventions based on the characteristics of nurses in different categories.Health behavior self-efficacy can be used as the core of intervention to improve nurses'health promotion lifestyles.
NurseHealth Promotion LifestyleLatent Profile AnalysisNursing Administration Research
NETL
NSTL
万方数据
