Literature DB >> 7934200

A duality in aging: the equivalence of mortality models based on radically different concepts.

A I Yashin1, J W Vaupel, I A Iachine.   

Abstract

Several alternative mortality models fit Swedish old-age mortality data equally well. The models build on two different concepts of the heterogeneity of individuals in a population. The first concept concerns fixed, genetic differences among individuals in their risk of death. The second concept involves acquired susceptibility to death due to physiological changes and environmental influences. We show that alternative mortality models based on either of these two concepts or some mix of them lead to the same parametric form of observed age-specific death rates. We discuss this duality property of mortality processes and show that even when a mortality model fits the data, the concepts used to construct the model may not be correct.

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Year:  1994        PMID: 7934200     DOI: 10.1016/0047-6374(94)90094-9

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.432


  17 in total

1.  Genes, demography, and life span: the contribution of demographic data in genetic studies on aging and longevity.

Authors:  A I Yashin; G De Benedictis; J W Vaupel; Q Tan; K F Andreev; I A Iachine; M Bonafe; M DeLuca; S Valensin; L Carotenuto; C Franceschi
Journal:  Am J Hum Genet       Date:  1999-10       Impact factor: 11.025

2.  What difference does the dependence between durations make? Insights for population studies of aging.

Authors:  A I Yashin; I A Iachine
Journal:  Lifetime Data Anal       Date:  1999       Impact factor: 1.588

3.  Deceleration in the age pattern of mortality at older ages.

Authors:  S Horiuchi; J R Wilmoth
Journal:  Demography       Date:  1998-11

4.  Separating the Signal From the Noise: Evidence for Deceleration in Old-Age Death Rates.

Authors:  Dennis M Feehan
Journal:  Demography       Date:  2018-12

Review 5.  Testing evolutionary models of senescence: traditional approaches and future directions.

Authors:  Chloe Robins; Karen N Conneely
Journal:  Hum Genet       Date:  2014-10-08       Impact factor: 4.132

6.  The compression of deaths above the mode.

Authors:  A Roger Thatcher; Siu Lan K Cheung; Shiro Horiuchi; Jean-Marie Robine
Journal:  Demogr Res       Date:  2010-03-26

Review 7.  Developmental biomarkers of aging in Caenorhabditis elegans.

Authors:  Zachary Pincus; Frank J Slack
Journal:  Dev Dyn       Date:  2010-05       Impact factor: 3.780

Review 8.  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

9.  Studying health histories of cancer: a new model connecting cancer incidence and survival.

Authors:  Anatoli I Yashin; Igor Akushevich; Konstantin Arbeev; Lucy Akushevich; Alexander Kulminski; Svetlana Ukraintseva
Journal:  Math Biosci       Date:  2009-01-04       Impact factor: 2.144

10.  MicroRNA predictors of longevity in Caenorhabditis elegans.

Authors:  Zachary Pincus; Thalyana Smith-Vikos; Frank J Slack
Journal:  PLoS Genet       Date:  2011-09-29       Impact factor: 5.917

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