Analysis of influencing factors of social frailty of community-dwelling older adults based on Bayesian network model
Objective To explore the influencing factors of social frailty of community-dwelling older adults and their network rela-tionships,and to provide a theoretical basis for targeted intervention.Methods The general data questionnaire,the Help,Participa-tion,Loneliness,Financial & Talk Scale(HALFT),the Athens Insomnia Scale,the FRAlL Questionnaire,the Social Support Rating Scale,Mini Nutritional Assessment Short Form(MNA-SF),the Mini Mental State Examination(MMSE)and the Rasch-derived short form of the Center for Epidemiologic Studies-Depression scale(CES-D)were used to investigate 1 055 elderly people in Lubei District of Tangshan city.Results The incidence of social frailty among the community-dwelling older adults was 23.70％.Logistic regression analysis showed that age,education level,number of chronic diseases,sleep status,social support,nutrition status,physical activity,physical frailty,cognitive function and depression were the main influencing factors of social frailty(all P＜0.05).The results of Bayesian network model showed that age,physical frailty,cognitive function,depression and social sup-port were directly associated with social frailty;physical activity was indirectly associated with social frailty through the number of chronic diseases,nutritional status and depression;older adults ≥70 years of age,and those with cognitive impairment and low level of social support,physical frailty and depression had the highest probability of social frailty(79.0％).Conclusion It is com-mon for the community-dwelling older adults to suffer from social frailty.Medical staff should pay attention to the high-risk groups of social frailty,and it is necessary to reduce the risk of social frailty through the collaboration of multidisciplinary teams and comprehensive intervention measures.
万方数据
维普
