Mortality Trajectories at Exceptionally High Ages: A Study of Supercentenarians.

Living to 100 monograph Pub Date : 2017-01-01 Epub Date: 2017-07-27
Natalia S Gavrilova, Leonid A Gavrilov, Vyacheslav N Krut'ko
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Abstract

The growing number of persons surviving to age 100 years and beyond raises questions about the shape of mortality trajectories at exceptionally high ages, and this problem may become significant for actuaries in the near future. However, such studies are scarce because of the difficulties in obtaining reliable age estimates at exceptionally high ages. The current view about mortality beyond age 110 years suggests that death rates do not grow with age and are virtually flat. The same assumption is made in the new actuarial VBT tables. In this paper, we test the hypothesis that the mortality of supercentenarians (persons living 110+ years) is constant and does not grow with age, and we analyze mortality trajectories at these exceptionally high ages. Death records of supercentenarians were taken from the International Database on Longevity (IDL). All ages of supercentenarians in the database were subjected to careful validation. We used IDL records for persons belonging to extinct birth cohorts (born before 1895) since the last deaths in IDL were observed in 2007. We also compared our results based on IDL data with a more contemporary database maintained by the Gerontology Research Group (GRG). First we attempted to replicate findings by Gampe (2010), who analyzed IDL data and came to the conclusion that "human mortality after age 110 is flat." We split IDL data into two groups: cohorts born before 1885 and cohorts born in 1885 and later. Hazard rate estimates were conducted using the standard procedure available in Stata software. We found that mortality in both groups grows with age, although in older cohorts, growth was slower compared with more recent cohorts and not statistically significant. Mortality analysis of more numerous 1884-1894 birth cohort with the Akaike goodness-of-fit criterion showed better fit for the Gompertz model than for the exponential model (flat mortality). Mortality analyses with GRG data produced similar results. The remaining life expectancy for the 1884-1894 birth cohort demonstrates rapid decline with age. This decline is similar to the computer-simulated trajectory expected for the Gompertz model, rather than the extremely slow decline in the case of the exponential model. These results demonstrate that hazard rates after age 110 years do not stay constant and suggest that mortality deceleration at older ages is not a universal phenomenon. These findings may represent a challenge to the existing theories of aging and longevity, which predict constant mortality in the late stages of life. One possibility for reconciliation of the observed phenomenon and the existing theoretical consideration is a possibility of mortality deceleration and mortality plateau at very high yet unobservable ages.

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异常高龄的死亡率轨迹:超级百岁老人的研究。
活到100岁及以上的人越来越多,这引发了人们对异常高年龄人群死亡率轨迹形状的质疑,在不久的将来,这个问题可能对精算师来说变得很重要。然而,这类研究很少,因为很难在异常高的年龄获得可靠的年龄估计。目前关于110岁以上的死亡率的观点表明,死亡率不随年龄增长而增长,实际上是持平的。在新的精算VBT表中也做了同样的假设。在本文中,我们检验了超级百岁老人(110岁以上的人)的死亡率是恒定的,不随年龄增长的假设,并分析了这些异常高年龄的死亡率轨迹。超级百岁老人的死亡记录取自国际长寿数据库(IDL)。数据库中所有年龄的超级百岁老人都经过了仔细的验证。我们使用IDL记录来记录属于灭绝出生队列(1895年之前出生)的人,因为IDL的最后一次死亡是在2007年观察到的。我们还将基于IDL数据的结果与由老年学研究小组(GRG)维护的更现代的数据库进行了比较。首先,我们试图复制Gampe(2010)的发现,他分析了IDL数据并得出结论:“110岁以后的人类死亡率是持平的。”我们将IDL数据分为两组:1885年之前出生的队列和1885年及之后出生的队列。使用Stata软件中提供的标准程序进行危险率估计。我们发现两组的死亡率都随着年龄的增长而增长,尽管在老年队列中,死亡率的增长比最近的队列要慢,并且没有统计学意义。用赤池拟合优度标准对更多的1884-1894年出生队列进行死亡率分析,结果表明Gompertz模型比指数模型(死亡率持平)更适合。用GRG数据进行死亡率分析也得出了类似的结果。1884-1894年出生队列的剩余预期寿命随着年龄的增长而迅速下降。这种下降与Gompertz模型中计算机模拟的轨迹相似,而不是指数模型中极其缓慢的下降。这些结果表明,110岁以后的危险率并没有保持不变,并表明老年人死亡率的下降并不是一个普遍现象。这些发现可能对现有的衰老和长寿理论提出了挑战,这些理论预测在生命的后期会有恒定的死亡率。将观察到的现象与现有理论考虑相协调的一种可能性是,在非常高但无法观察到的年龄可能出现死亡率减速和死亡率平稳期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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