Literature DB >> 19500610

The vitality model: a way to understand population survival and demographic heterogeneity.

Ting Li1, James J Anderson.   

Abstract

A four-parameter model describing mortality as the first passage of an abstract measure of survival capacity, vitality, is developed and used to explore four classic problems in demography: (1) medfly demographic paradox, (2) effect of diet restriction on longevity, (3) cross-life stage effects on survival curves and (4) mortality plateaus. The model quantifies the sources of mortality in these classical problems into vitality-dependent and independent parts, and characterizes the vitality-dependent part in terms of initial and evolving heterogeneities. Three temporal scales express the balance of these factors: a time scale of death from senescence, a time scale of accidental mortality and a crossover time between evolving vs. initial heterogeneity. The examples demonstrate how the first-passage approach provides a unique and informative perspective into the processes that shape the survival curves of populations.

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Year:  2009        PMID: 19500610     DOI: 10.1016/j.tpb.2009.05.004

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  13 in total

1.  Resource competition induces heterogeneity and can increase cohort survivorship: selection-event duration matters.

Authors:  Jennifer L Gosselin; James J Anderson
Journal:  Oecologia       Date:  2013-08-03       Impact factor: 3.225

2.  On some mortality rate processes and mortality deceleration with age.

Authors:  Ji Hwan Cha; Maxim Finkelstein
Journal:  J Math Biol       Date:  2015-04-29       Impact factor: 2.259

3.  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

Review 4.  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

Review 5.  Insights into mortality patterns and causes of death through a process point of view model.

Authors:  James J Anderson; Ting Li; David J Sharrow
Journal:  Biogerontology       Date:  2016-11-24       Impact factor: 4.277

6.  A General Age-Specific Mortality Model With an Example Indexed by Child Mortality or Both Child and Adult Mortality.

Authors:  Samuel J Clark
Journal:  Demography       Date:  2019-06

7.  Age trajectories of physiological indices in relation to healthy life course.

Authors:  Konstantin G Arbeev; Svetlana V Ukraintseva; Igor Akushevich; Alexander M Kulminski; Liubov S Arbeeva; Lucy Akushevich; Irina V Culminskaya; Anatoliy I Yashin
Journal:  Mech Ageing Dev       Date:  2011-01-22       Impact factor: 5.432

8.  Mortality increase in late-middle and early-old age: heterogeneity in death processes as a new explanation.

Authors:  Ting Li; Yang Claire Yang; James J Anderson
Journal:  Demography       Date:  2013-10

9.  The relationship of mammal survivorship and body mass modeled by metabolic and vitality theories.

Authors:  James J Anderson
Journal:  Popul Ecol       Date:  2018-05-14       Impact factor: 2.100

10.  Lifespan and aggregate size variables in specifications of mortality or survivorship.

Authors:  Michael Epelbaum
Journal:  PLoS One       Date:  2014-01-15       Impact factor: 3.240

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