Gavrilova Natalia S, Gavrilov Leonid A, Krut'ko Vyacheslav N
NORC at the University of Chicago.
NORC at the University of Chicago; Computer Science and Control Federal Research Center, Russian Academy of Sciences.
Living 100 Monogr. 2017 Jan;2017(1B). Epub 2017 Jul 27.
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.
活到100岁及以上的人数不断增加,引发了关于极高龄人群死亡率轨迹形态的问题,而且这个问题在不久的将来可能对精算师来说变得至关重要。然而,由于在获取极高龄人群可靠年龄估计方面存在困难,此类研究很少。目前关于110岁以上人群死亡率的观点表明,死亡率不会随年龄增长,实际上是平稳的。新的精算VBT表也采用了同样的假设。在本文中,我们检验了超级百岁老人(年龄在110岁及以上的人)死亡率恒定且不随年龄增长的假设,并分析了这些极高龄人群的死亡率轨迹。超级百岁老人的死亡记录取自国际长寿数据库(IDL)。数据库中所有超级百岁老人的年龄都经过了仔细验证。我们使用了IDL中属于已灭绝出生队列(1895年以前出生)的人员记录,因为IDL中最近的死亡记录是在2007年观察到的。我们还将基于IDL数据的结果与老年学研究小组(GRG)维护的一个更新的数据库进行了比较。首先,我们试图重现甘佩(2010年)的研究结果,他分析了IDL数据并得出“110岁以后人类死亡率是平稳的”这一结论。我们将IDL数据分为两组:1885年以前出生的队列和1885年及以后出生的队列。使用Stata软件中可用的标准程序进行风险率估计。我们发现两组的死亡率都随年龄增长,尽管在较老的队列中,与较新的队列相比增长较慢且无统计学意义。对1884 - 1894年出生队列进行的更多死亡率分析,采用赤池拟合优度准则显示,与指数模型(平稳死亡率)相比,对冈珀茨模型的拟合更好。对GRG数据进行的死亡率分析得出了类似的结果。对于1884 - 1894年出生队列,剩余预期寿命显示随年龄迅速下降。这种下降类似于冈珀茨模型预期的计算机模拟轨迹,而不是指数模型情况下极其缓慢的下降。这些结果表明,110岁以后的风险率并非保持恒定,并表明高龄时死亡率减速并非普遍现象。这些发现可能对现有的衰老和长寿理论构成挑战,这些理论预测生命后期死亡率恒定。调和观察到的现象与现有理论考量的一种可能性是,在非常高但无法观察到的年龄可能存在死亡率减速和死亡率平台期。