Suppr超能文献

错误是导致晚年死亡率减缓和平稳的主要原因。

Errors as a primary cause of late-life mortality deceleration and plateaus.

机构信息

Research School of Biology, The Australian National University, Acton, ACT, Australia.

出版信息

PLoS Biol. 2018 Dec 20;16(12):e2006776. doi: 10.1371/journal.pbio.2006776. eCollection 2018 Dec.

Abstract

Several organisms, including humans, display a deceleration in mortality rates at advanced ages. This mortality deceleration is sufficiently rapid to allow late-life mortality to plateau in old age in several species, causing the apparent cessation of biological ageing. Here, it is shown that late-life mortality deceleration (LLMD) and late-life plateaus are caused by common demographic errors. Age estimation and cohort blending errors introduced at rates below 1 in 10,000 are sufficient to cause LLMD and plateaus. In humans, observed error rates of birth and death registration predict the magnitude of LLMD. Correction for these sources of demographic error using a mixed linear model eliminates LLMD and late-life mortality plateaus (LLMPs) without recourse to biological or evolutionary models. These results suggest models developed to explain LLMD have been fitted to an error distribution, that ageing does not slow or stop during old age in humans, and that there is a finite limit to human longevity.

摘要

包括人类在内的几种生物在高龄时死亡率会减缓。这种死亡率的减缓速度非常快,以至于在几种物种中,老年后期的死亡率会在老年时趋于平稳,从而导致生物衰老的明显停止。在这里,研究表明,晚年死亡率减缓(LLMD)和晚年平稳是由常见的人口统计学错误引起的。以低于每 10000 人中 1 人的速率引入的年龄估计和队列混合错误足以导致 LLMD 和平稳。在人类中,出生和死亡登记的观测错误率预测了 LLMD 的幅度。使用混合线性模型对这些人口统计学错误源进行校正,可以消除 LLMD 和晚年死亡率平稳(LLMP),而无需依赖生物或进化模型。这些结果表明,为解释 LLMD 而开发的模型已经适应了错误分布,即人类在老年时衰老不会减缓或停止,而且人类的长寿是有限的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f10/6301557/d837d99a79e2/pbio.2006776.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验