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更健康、更富有、更明智:选择性死亡导致老年人群体构成变化的实证研究

HEALTHIER, WEALTHIER, AND WISER: A DEMONSTRATION OF COMPOSITIONAL CHANGES IN AGING COHORTS DUE TO SELECTIVE MORTALITY.

作者信息

Zajacova Anna, Burgard Sarah A

机构信息

University of Wyoming.

University of Michigan.

出版信息

Popul Res Policy Rev. 2013 Jun 1;32(3):311-324. doi: 10.1007/s11113-013-9273-x.

Abstract

The gradual changes in cohort composition that occur as a result of selective mortality processes are of interest to all aging research. We present the first illustration of changes in the distribution of specific cohort characteristics that arise purely as a result of selective mortality. We use data on health, wealth, education, and other covariates from two cohorts (the AHEAD cohort, born 1900-23 and the HRS cohort, born 1931-41) included in the Health and Retirement Survey, a nationally representative panel study of older Americans spanning nearly two decades (N=14,466). We calculate sample statistics for the surviving cohort at each wave. Repeatedly using only baseline information for these calculations so that there are no changes at the individual level (what changes is the set of surviving respondents at each specific wave), we obtain a demonstration of the impact of mortality selection on the cohort characteristics. We find substantial changes in the distribution of all examined characteristics across the nine survey waves. For instance, the median wealth increases from about $90,000 to $130,000 and the number of chronic conditions declines from 1.5 to 1 in the AHEAD cohort. We discuss factors that influence the rate of change in various characteristics. The mortality selection process changes the composition of older cohorts considerably, such that researchers focusing on the oldest old need to be aware of the highly select groups they are observing, and interpret their conclusions accordingly.

摘要

由于选择性死亡过程导致的队列构成的逐渐变化是所有衰老研究都感兴趣的。我们首次展示了纯粹由于选择性死亡而出现的特定队列特征分布的变化。我们使用了健康与退休调查中的两个队列(出生于1900 - 23年的AHEAD队列和出生于1931 - 41年的HRS队列)的健康、财富、教育及其他协变量数据,该调查是一项对美国老年人进行的具有全国代表性的面板研究,跨度近二十年(N = 14,466)。我们计算了每一波次中存活队列的样本统计量。在这些计算中反复仅使用基线信息,以便在个体层面没有变化(变化的是每个特定波次中存活的受访者集合),我们得到了死亡率选择对队列特征影响的一个例证。我们发现在九个调查波次中,所有检查特征的分布都有显著变化。例如,在AHEAD队列中,财富中位数从约90,000美元增加到130,000美元,慢性病数量从1.5减少到1。我们讨论了影响各种特征变化率的因素。死亡率选择过程极大地改变了老年队列的构成,因此专注于最年长者的研究人员需要意识到他们所观察的是高度选择性的群体,并相应地解释他们的结论。

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