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建模中国超高龄老人的失能轨迹和死亡模式。

Modeling disability trajectories and mortality of the oldest-old in China.

机构信息

Department of Social and Behavioral Sciences, University of California, San Francisco, CA 94118, USA.

出版信息

Demography. 2012 Feb;49(1):291-314. doi: 10.1007/s13524-011-0075-7.

Abstract

This article uses a group-based modeling approach to jointly estimate disability and mortality trajectories over time based on data from the population aged 80 and older in China, and explores relations of demographic, socioeconomic, and early-life characteristics to membership in gender-specific trajectory groups. A three-group model best fits the data for both males and females. For most groups, predicted numbers of limitations in activities of daily living (ADLs) increase with age, but the pace is gradual in some cases and rapid in others. For each gender, the estimated mortality probability trajectories for the three groups follow a hierarchy that is related to the predicted ADL counts at age 80. Only a few characteristics predict trajectory-group membership. Prior nonagricultural occupation is associated with less favorable disability trajectories for both genders. For females, rural residence, a greater number of children ever born, and having a father who did not work in agriculture are associated with more favorable trajectories. For a small group of males who received education, disability is moderate but changes little with age. Findings may reflect heterogeneity of survival among the least advantaged, as well as a possible expansion of morbidity among a small advantaged group.

摘要

本文采用基于群组的建模方法,利用中国 80 岁及以上人群的数据,联合估计残疾和死亡率随时间的轨迹,并探讨人口统计学、社会经济和早期生活特征与特定性别轨迹组的成员关系。三群组模型最适合男性和女性的数据。对于大多数群体,日常生活活动(ADL)受限的预测数量随年龄增长而增加,但在某些情况下速度缓慢,而在其他情况下则迅速增加。对于每一种性别,三组的估计死亡率轨迹遵循与 80 岁时 ADL 预测数量相关的层次结构。只有少数特征可以预测轨迹组的成员。非农职业与两性的残疾轨迹较差有关。对于农村居住、生育子女数量较多且父亲未从事农业的女性,轨迹较好。一小部分接受过教育的男性,残疾程度中等,但随年龄变化不大。研究结果可能反映了最弱势群体生存的异质性,以及少数优势群体发病率的可能扩大。

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