Literature DB >> 11584028

Have the oldest old adults ever been frail in the past? A hypothesis that explains modern trends in survival.

A I Yashin1, S V Ukraintseva, G De Benedictis, V N Anisimov, A A Butov, K Arbeev, D A Jdanov, S I Boiko, A S Begun, M Bonafe, C Franceschi.   

Abstract

Three important results concerning the shape and the trends of the human mortality rate were discussed recently in demographic and epidemiological literature. These are the deceleration of the mortality rate at old ages, the tendency to rectangularization of the survival curve, and the decline of the old age mortality observed in the second part of the 20th century. In this paper we show that all these results can be explained by using a model with a new type of heterogeneity associated with individual differences in adaptive capacity. We first illustrate the idea of such a model by considering survival in a mixture of two subpopulations of individuals (called "labile" and "stable"). These subpopulations are characterized by different Gompertz mortality patterns, such that their mortality rates cross over. The survival chances of individuals in these subpopulations have different sensitivities to changes in environmental conditions. Then we develop a more comprehensive model in which the mortality rate is related to the adaptive capacity of an organism. We show that the trends in survival patterns experienced by a mixture of such individuals resemble those obtained in an analysis of empirical data on survival in developed countries. Lastly, we present evidence of the existence of subpopulations of phenotypes in both humans and experimental organisms, which were used as prototypes in our models. The existence of such phenotypes provides the possibility that at least part of today's centenarians originated from an initially frail part of the cohort.

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Year:  2001        PMID: 11584028     DOI: 10.1093/gerona/56.10.b432

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  26 in total

1.  What age trajectories of cumulative deficits and medical costs tell us about individual aging and mortality risk: Findings from the NLTCS-Medicare data.

Authors:  Anatoli I Yashin; Konstantin G Arbeev; Alexander Kulminski; Igor Akushevich; Lucy Akushevich; Svetlana V Ukraintseva
Journal:  Mech Ageing Dev       Date:  2008-02-01       Impact factor: 5.432

Review 2.  Unraveling genetic origin of aging-related traits: evolving concepts.

Authors:  Alexander M Kulminski
Journal:  Rejuvenation Res       Date:  2013-08       Impact factor: 4.663

3.  The genetic component of human longevity: analysis of the survival advantage of parents and siblings of Italian nonagenarians.

Authors:  Alberto Montesanto; Valeria Latorre; Marco Giordano; Cinzia Martino; Filippo Domma; Giuseppe Passarino
Journal:  Eur J Hum Genet       Date:  2011-03-16       Impact factor: 4.246

4.  Hormesis, adaptive epigenetic reorganization, and implications for human health and longevity.

Authors:  Alexander M Vaiserman
Journal:  Dose Response       Date:  2010-01-08       Impact factor: 2.658

5.  The Strehler-Mildvan correlation from the perspective of a two-process vitality model.

Authors:  Ting Li; James J Anderson
Journal:  Popul Stud (Camb)       Date:  2015-01-30

6.  The role of lipid-related genes, aging-related processes, and environment in healthspan.

Authors:  Alexander M Kulminski; Irina Culminskaya; Konstantin G Arbeev; Svetlana V Ukraintseva; Eric Stallard; Liubov Arbeeva; Anatoli I Yashin
Journal:  Aging Cell       Date:  2013-02-18       Impact factor: 9.304

7.  Trade-off in the effect of the APOE gene on the ages at onset of cardiocascular disease and cancer across ages, gender, and human generations.

Authors:  Alexander M Kulminski; Irina Culminskaya; Konstantin G Arbeev; Svetlana V Ukraintseva; Liubov Arbeeva; Anatoli I Yashin
Journal:  Rejuvenation Res       Date:  2013-02       Impact factor: 4.663

8.  Trade-offs in the effects of the apolipoprotein E polymorphism on risks of diseases of the heart, cancer, and neurodegenerative disorders: insights on mechanisms from the Long Life Family Study.

Authors:  Alexander M Kulminski; Konstantin G Arbeev; Irina Culminskaya; Svetlana V Ukraintseva; Eric Stallard; Michael A Province; Anatoli I Yashin
Journal:  Rejuvenation Res       Date:  2015-04       Impact factor: 4.663

9.  Trade-off between cancer and aging: what role do other diseases play? Evidence from experimental and human population studies.

Authors:  Anatoli I Yashin; Svetlana V Ukraintseva; Igor V Akushevich; Konstantin G Arbeev; Alexander Kulminski; Lucy Akushevich
Journal:  Mech Ageing Dev       Date:  2008-03-25       Impact factor: 5.432

Review 10.  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

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