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当背景死亡率较低时,人类评估的衰老速度会更快:这是异质性差异的结果吗?

Human actuarial aging increases faster when background death rates are lower: a consequence of differential heterogeneity?

机构信息

Department of Anthropology, University of Utah, Salt Lake City, Utah, USA.

出版信息

Evolution. 2012 Jan;66(1):103-14. doi: 10.1111/j.1558-5646.2011.01414.x. Epub 2011 Aug 18.

Abstract

Many analyses of human populations have found that age-specific mortality rates increase faster across most of adulthood when overall mortality levels decline. This contradicts the relationship often expected from Williams' classic hypothesis about the effects of natural selection on the evolution of senescence. More likely, much of the within-species difference in actuarial aging is not due to variation in senescence, but to the strength of filters on the heterogeneity of frailty in older survivors. A challenge to this differential frailty hypothesis was recently posed by an analysis of life tables from historical European populations and traditional societies that reported variation in actuarial aging consistent with Williams' hypothesis after all. To investigate the challenge, we reconsidered those cases and aging measures. Here we show that the discrepancy depends on Ricklefs' aging rate measure, ω, which decreases as mortality levels drop because it is an index of mortality level itself, not the rate of increase in mortality with age. We also show unappreciated correspondence among the parameters of Gompertz-Makeham and Weibull survival models. Finally, we compare the relationships among mortality parameters of the traditional societies and the historical series, providing further suggestive evidence that differential heterogeneity has strong effects on actuarial aging.

摘要

许多对人类群体的分析发现,当总体死亡率下降时,大多数成年人的特定年龄死亡率在整个成年期的增长速度更快。这与威廉姆斯关于自然选择对衰老进化影响的经典假设所预期的关系相矛盾。更有可能的是,物种内的寿命评估差异很大程度上不是由于衰老的变化,而是由于对老年幸存者脆弱性异质性的过滤器的强度。最近,对历史上欧洲人口和传统社会的生命表的分析对差异脆弱性假说提出了挑战,该分析报告称,在考虑到威廉姆斯假设后,寿命评估的变化与预期一致。为了研究这一挑战,我们重新考虑了这些案例和衰老指标。在这里,我们表明,这种差异取决于里克莱夫斯的衰老率指标ω,随着死亡率的下降而降低,因为它本身就是死亡率的指标,而不是死亡率随年龄增长的增长率。我们还展示了 Gompertz-Makeham 和 Weibull 生存模型的参数之间未被注意到的对应关系。最后,我们比较了传统社会和历史系列的死亡率参数之间的关系,提供了进一步的暗示性证据,表明差异异质性对寿命评估有强烈影响。

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