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

Michael Gurven, Andrew Fenelon

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

G.C. Williams's 1957 hypothesis famously argues that higher age-independent, or "extrinsic," mortality should select for faster rates of senescence. Long-lived species should therefore show relatively few deaths from extrinsic causes such as predation and starvation. Theoretical explorations and empirical tests of Williams's hypothesis have flourished in the past decade but it has not yet been tested empirically among humans. We test Williams's hypothesis using mortality data from subsistence populations and from historical cohorts from Sweden and England/Wales, and examine whether rates of actuarial aging declined over the past two centuries. We employ three aging measures: mortality rate doubling time (MRDT), Ricklefs's ω, and the slope of mortality hazard from ages 60-70, m′60-70, and model mortality using both Weibull and Gompertz-Makeham hazard models. We find that (1) actuarial aging in subsistence societies is similar to that of early Europe, (2) actuarial senescence has slowed in later European cohorts, (3) reductions in extrinsic mortality associate with slower actuarial aging in longitudinal samples, and (4) men senesce more rapidly than women, especially in later cohorts. To interpret these results, we attempt to bridge population-based evolutionary analysis with individual-level proximate mechanisms.

Original languageEnglish (US)
Pages (from-to)1017-1035
Number of pages19
JournalEvolution
Volume63
Issue number4
DOIs
StatePublished - Apr 2009
Externally publishedYes

Keywords

  • Biodemography of aging
  • England
  • Hunter-gatherers
  • Life-history theory
  • Mortality
  • Senescence
  • Sweden
  • Williams's hypothesis

Fingerprint

Dive into the research topics of 'Has actuarial aging "slowed" over the past 250 years? A comparison of small-scale subsistence populations and european cohorts'. Together they form a unique fingerprint.

Cite this