Literature DB >> 31295741

New Trend in Old-Age Mortality: Gompertzialization of Mortality Trajectory.

Leonid A Gavrilov1, Natalia S Gavrilova2.   

Abstract

There is great interest among gerontologists, demographers, and actuaries in the question concerning the limits to human longevity. Attempts at getting answers to this important question have stimulated many studies on late-life mortality trajectories, often with opposing conclusions. One group of researchers believes that mortality stops growing with age at extreme old ages, and that hence there is no fixed limit to the human life span. Other studies found that mortality continues to grow with age up to extreme old ages. Our study suggests a possible solution to this controversy. We found that mortality deceleration is best observed when older, less accurate life span data are analyzed, while in the case of more recent and reliable data there is a persistent mortality growth with age. We compared the performance (goodness of fit) of two competing mortality models - the Gompertz model and the Kannisto ("mortality deceleration") model - at ages of 80-105 years using data for 1880-1899 single-year birth cohorts of US men and women. The mortality modeling approach suggests a transition from mortality deceleration to the Gompertzian mortality pattern over time for both men and women. These results are consistent with the hypothesis about disappearing mortality deceleration over time due to improvement in the accuracy of age reporting. In the case of more recent data, mortality continues to grow with age even at very old ages. This observation may lead to more conservative estimates of future human longevity records.
© 2019 S. Karger AG, Basel.

Entities:  

Keywords:  Age misreporting; Biodemography; Gompertz law; Kannisto model; Late-life mortality; Longevity; Mortality deceleration; Old age

Mesh:

Year:  2019        PMID: 31295741      PMCID: PMC6703938          DOI: 10.1159/000500141

Source DB:  PubMed          Journal:  Gerontology        ISSN: 0304-324X            Impact factor:   5.140


  5 in total

1.  Are We Approaching a Biological Limit to Human Longevity?

Authors:  Natalia S Gavrilova; Leonid A Gavrilov
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-05-22       Impact factor: 6.053

2.  A natural constant predicts survival to maximum age.

Authors:  Manuel Dureuil; Rainer Froese
Journal:  Commun Biol       Date:  2021-05-31

Review 3.  DNA damage responses in ageing.

Authors:  Paulo F L da Silva; Björn Schumacher
Journal:  Open Biol       Date:  2019-11-20       Impact factor: 6.411

4.  THE EXPOSOME IN HUMAN EVOLUTION: FROM DUST TO DIESEL.

Authors:  Benjamin C Trumble; Caleb E Finch
Journal:  Q Rev Biol       Date:  2019-12       Impact factor: 6.750

5.  Centenarians may hold a key to continued rise of human longevity.

Authors:  Johan Bredberg; Anders Bredberg
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-10       Impact factor: 11.205

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.