Literature DB >> 14652918

Individual aging and mortality rate: how are they related?

Anatoli I Yashin1, Svetlana V Ukraintseva, Serge I Boiko, Konstantin G Arbeev.   

Abstract

Many researchers working in the area of aging and longevity base their conclusions on the behavior of empirical age trajectories of mortality rates. In such analyses, changes in the slope of the logarithm of the mortality curve are often associated with changes in the rate of individual aging. We show that such interpretation may be incorrect: the changes in the slope of this curve do not necessarily correspond to the changes in the rate of individual aging. We use three models of mortality and aging to illustrate this statement. The first one is based on the idea of frailty. We show that changes in frailty distribution alone may be responsible for changes in the slope. The second model exploits the idea of saving lives. It evaluates changes in mortality rate after elimination of lethal stressful events. The third model uses the idea of Strehler and Mildvan (1960). It shows that changes in the rate of individual aging may take place without changes in the slope of the logarithm of the mortality curve.

Mesh:

Year:  2002        PMID: 14652918     DOI: 10.1080/19485565.2002.9989059

Source DB:  PubMed          Journal:  Soc Biol        ISSN: 0037-766X


  13 in total

1.  Health decline, aging and mortality: how are they related?

Authors:  Anatoli I Yashin; Konstantin G Arbeev; Aliaksandr Kulminski; Igor Akushevich; Lucy Akushevich; Svetlana V Ukraintseva
Journal:  Biogerontology       Date:  2007-01-23       Impact factor: 4.277

2.  Mortality and fertility rates in humans and chimpanzees: How within-species variation complicates cross-species comparisons.

Authors:  Kristen Hawkes; Ken R Smith; Shannen L Robson
Journal:  Am J Hum Biol       Date:  2009 Jul-Aug       Impact factor: 1.937

3.  Heterogeneity in the Strehler-Mildvan general theory of mortality and aging.

Authors:  Hui Zheng; Yang Yang; Kenneth C Land
Journal:  Demography       Date:  2011-02

4.  A simulation study of the role of cohort forces in mortality patterns.

Authors:  Hui Zheng; Siwei Cheng
Journal:  Biodemography Soc Biol       Date:  2018 Jul-Sep

5.  The quadratic hazard model for analyzing longitudinal data on aging, health, and the life span.

Authors:  A I Yashin; K G Arbeev; I Akushevich; A Kulminski; S V Ukraintseva; E Stallard; K C Land
Journal:  Phys Life Rev       Date:  2012-05-17       Impact factor: 11.025

6.  Individual fecundity and senescence in Drosophila and medfly.

Authors:  Vassili N Novoseltsev; Robert Arking; James R Carey; Janna A Novoseltseva; Anatoli I Yashin
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2005-08       Impact factor: 6.053

7.  Stochastic model for analysis of longitudinal data on aging and mortality.

Authors:  Anatoli I Yashin; Konstantin G Arbeev; Igor Akushevich; Aliaksandr Kulminski; Lucy Akushevich; Svetlana V Ukraintseva
Journal:  Math Biosci       Date:  2006-12-05       Impact factor: 2.144

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

Authors:  Kristen Hawkes; Ken R Smith; James K Blevins
Journal:  Evolution       Date:  2011-08-18       Impact factor: 3.694

Review 9.  How the effects of aging and stresses of life are integrated in mortality rates: insights for genetic studies of human health and longevity.

Authors:  Anatoliy I Yashin; Konstantin G Arbeev; Liubov S Arbeeva; Deqing Wu; Igor Akushevich; Mikhail Kovtun; Arseniy Yashkin; Alexander Kulminski; Irina Culminskaya; Eric Stallard; Miaozhu Li; Svetlana V Ukraintseva
Journal:  Biogerontology       Date:  2015-08-18       Impact factor: 4.277

10.  Has actuarial aging "slowed" over the past 250 years? A comparison of small-scale subsistence populations and European cohorts.

Authors:  Michael Gurven; Andrew Fenelon
Journal:  Evolution       Date:  2008-12-24       Impact factor: 3.694

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