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我国老年人健康关注度变化轨迹及影响因素OA

Change trajectory and influencing factors of health concern among the elderly in China

中文摘要英文摘要

目的:探究我国老年人健康关注度变化轨迹,分析其影响因素.方法:基于中国健康与养老追踪调查(CHARLS)2013年、2015年、2018年和2020年数据,采用潜变量增长混合模型(LGMM)对老年人健康关注度变化轨迹进行分类.采用多分类Logistic回归模型分析其变化轨迹影响因素.结果:我国老年人健康关注度变化轨迹可分为上升波动组(567人,占32.5%)、稳定居中组(741人,占42.5%)和下降波动组(436人,占25.0%).回归分析显示,年龄、性别、慢性病种数、社会医疗保险、是否退休和社交活动频率是老年人健康关注度变化轨迹分类的影响因素(均P<0.05).结论:我国老年人健康关注度具有群体异质性,未来应关注不同轨迹的变化趋势,根据其影响因素制定长效干预措施,为有效促进老年人主动健康提供依据.

Objective:To explore the change trajectory of health concern among the elderly in China and to analyze its influencing factors.Methods:Data from the China Health and Retirement Longitudinal Study(CHARLS)conducted in 2013,2015,2018,and 2020 were used.The latent growth mixture model(LGMM)was applied to classify the change trajectory of health concern among the elderly.A multi class Logistic regression model was used to analyze the influencing factors of the change trajectory.Results:The change trajectory of health concern among the elderly in China could be divided into three groups,namely a rising-fluctuating group(567 persons,accounting for 32.5%),a stable-moderate group(741 persons,accounting for 42.5%),and a declining-fluctuating group(436 persons,accounting for 25.0%).Regression analysis showed that age,gender,number of chronic diseases,social medical insurance,retirement status,and frequency of social activities were influencing factors for the classification of the change trajectory of health concern among the elderly(all P<0.05).Conclusions:Health concern among the elderly in China showed group heterogeneity.In the future,attention should be paid to the change trends of different trajectories.Long-term intervention measures should be formulated based on the influencing factors to provide a basis for effectively promoting the active health among the elderly.

苏晨之;苑秋辰;姚秀钰

北京协和医学院护理学院,北京 100144北京协和医学院护理学院,北京 100144北京协和医学院护理学院,北京 100144

老年人健康关注度变化轨迹影响因素潜类别增长混合模型

elderlyhealth concernchange trajectoryinfluencing factorslatent class growth mixture model

《护理研究》 2026 (2)

227-235,9

北京协和医学院护理学院院级科研课题,编号:PUMC-SON202315

10.12102/j.issn.1009-6493.2026.02.008

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