Study on Elderly Health Classification and Health Information Service Optimization Based on Latent Class Analysis

VernacularTitle:基于潜在类别分析的老年人健康分类与健康信息服务优化研究
Author: Xiwen LIU ^{1
,

2} ; Wenhao DU ; Shiqi WANG ; Junliang ZHANG ; Baojun LUO
Author Information

1. 新乡医学院卫生健康管理学院新乡 453003
2. 新乡医学院卫生信息资源研究中心新乡 453003
Keywords: the elderly; health information service; optimization strategy; latent class analysis
From: Journal of Medical Informatics 2024;45(7):42-48
CountryChina
Language:Chinese
Abstract: Purpose/Significance To classify the elderly according to their heterogeneous health status,and to explore the potential categories and influencing factors status,so as to promote the precision of health information services for the elderly.Method/Process Based on the data of the China health and retirement longitudinal study(CHARLS)database in 2018,the elderly are classified according to their health status by the method of latent class analysis,and the main influencing factors are identified by regression analysis.Result/Conclusion The elderly could be divided into 4 categories according to their health status.Age,sex,education level and retirement sta-tus are significant factors affecting the health grouping of the elderly.According to the heterogeneous health characteristics of the elderly,the service optimization strategy should be provided to promote the physical and mental health of the elderly.