Literature DB >> 22220868

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

Kristen Hawkes1, Ken R Smith, James K Blevins.   

Abstract

Many analyses of human populations have found that age-specific mortality rates increase faster across most of adulthood when overall mortality levels decline. This contradicts the relationship often expected from Williams' classic hypothesis about the effects of natural selection on the evolution of senescence. More likely, much of the within-species difference in actuarial aging is not due to variation in senescence, but to the strength of filters on the heterogeneity of frailty in older survivors. A challenge to this differential frailty hypothesis was recently posed by an analysis of life tables from historical European populations and traditional societies that reported variation in actuarial aging consistent with Williams' hypothesis after all. To investigate the challenge, we reconsidered those cases and aging measures. Here we show that the discrepancy depends on Ricklefs' aging rate measure, ω, which decreases as mortality levels drop because it is an index of mortality level itself, not the rate of increase in mortality with age. We also show unappreciated correspondence among the parameters of Gompertz-Makeham and Weibull survival models. Finally, we compare the relationships among mortality parameters of the traditional societies and the historical series, providing further suggestive evidence that differential heterogeneity has strong effects on actuarial aging.
© 2011 The Author(s). Evolution © 2011 The Society for the Study of Evolution.

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Year:  2011        PMID: 22220868      PMCID: PMC4010320          DOI: 10.1111/j.1558-5646.2011.01414.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  34 in total

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3.  Childhood misery and disease in later life: the effects on mortality in old age of hazards experienced in early life, southern Sweden, 1760-1894.

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Authors:  Arnold Mitnitski; Xiaowei Song; Ingmar Skoog; G A Broe; Jafna L Cox; Eva Grunfeld; Kenneth Rockwood
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5.  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
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7.  Nonrandom sequence of slope-intercept estimates in longitudinal gompertzian analysis suggests biological relevance.

Authors:  J E Riggs; G R Hobbs
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8.  Airborne infectious diseases during infancy and mortality in later life in southern Sweden, 1766-1894.

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

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Journal:  Evolution       Date:  2008-12-24       Impact factor: 3.694

Review 10.  Deciphering death: a commentary on Gompertz (1825) 'On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies'.

Authors:  Thomas B L Kirkwood
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-04-19       Impact factor: 6.237

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3.  Early origins of longevity: prenatal exposures to food shortage among early Utah pioneers.

Authors:  H A Hanson; K R Smith
Journal:  J Dev Orig Health Dis       Date:  2013-04       Impact factor: 2.401

4.  Survival of offspring who experience early parental death: early life conditions and later-life mortality.

Authors:  Ken R Smith; Heidi A Hanson; Maria C Norton; Michael S Hollingshaus; Geraldine P Mineau
Journal:  Soc Sci Med       Date:  2014-01-08       Impact factor: 4.634

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6.  The reproductive advantages of a long life: longevity and senescence in wild female African elephants.

Authors:  Phyllis C Lee; Victoria Fishlock; C Elizabeth Webber; Cynthia J Moss
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7.  The mechanism between mortality, population growth and ageing of the population in the European lower and upper middle income countries.

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Journal:  PLoS One       Date:  2021-10-29       Impact factor: 3.240

8.  Trends in scale and shape of survival curves.

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Journal:  Sci Rep       Date:  2012-07-11       Impact factor: 4.379

9.  An examination of black/white differences in the rate of age-related mortality increase.

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Journal:  Demogr Res       Date:  2013-07
  9 in total

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