中国高龄老人最健康和最不健康群体特征分析——兼论中国高龄老人健康影响因素

基于 1998年中国高龄老人健康长寿服务监测基线调查数据 ,用卡方自动交互作用检测法选出大约 10 %的最健康群体和大约 10 %的最不健康群体 ,并对各自的特征及其影响因素进行了探讨。结果显示 ,在没有个人行为变量的模型中 ,年龄、性别、社会经济因素和个人文化程度对高龄老人健康状况和区分最健康群体和最不健康群体有较大作用。加入个人行为变量后 ,某些行为和心理因素的作用在个别情况下超过年龄、个人其他微观特征变量和社会经济变量

Characteristics of the Most Robust and the Frailest Oldest-Olds in China with Discussion of Determinants of Health Status

Based on the baseline wave of Chinese Longitudinal Health Longevity Survey in 1998, this paper identifies the most robust and the frailest oldest old in China by applying Chi-Squared Automatic Interaction Detector approach and addresses their characteristics and determinants. The size of each group accounts around 10% of total sample. The results demonstrate that age, gender, residence, and education are major predictors for both health status and identification of the most robust and the frailest oldest olds in the models without controlling for psychological variables and health practices. After they are added into the models,such variables have a larger influence than age, gender, residence, and education in some models.