5,581 research outputs found

    Early Death: An American Tragedy

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    Post-Darwinian longevity

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    Life lived and left: Carey’s equality

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    In a stationary population, age composition and the distribution of remaining lifespans are identical. This equivalence can be used to estimate age structure if information is available on time to death.age composition, age estimation, remaining lifespan

    Dr. VÀinö Kannisto

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    This reflexion is published in memory of VÀinö Kannisto, who died unexpectedly on 16 February 2002.

    Total daily change with age equals average lifetime change

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    In a stationary population, the change with age in some characteristic at a point in time, summed over all the individuals in the population, equals the change in this characteristic, from the start to the end of the lifetime of each individual, averaged over all lifetimes of the individuals in the cohort.e dagger, Gompertz mortality, life expectancy, measures of senescence, population dynamics, stationary population

    Life Expectancy at Current Rates vs. Current Conditions

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    Life expectancy is overestimated if mortality is declining and underestimated if mortality is increasing. This is the fundamental claim made by Bongaarts and Feeney (2002) in their article "How Long Do We Live?", where they base their claim on arguments about "tempo effects on mortality". This Reflexion explains why this claim is true in most heterogeneous populations. It suggests that demographers should be careful about distinguishing between life expectancy under current conditions, which is difficult and problematic to assess, and life expectancy at current rates, which can be estimated using standard methods. Finally, it speculates that there may be a deep connection between tempo and heterogeneity.frailty, heterogeneity, life expectancy, tempo effects

    Lifesaving, lifetimes and lifetables

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    Mortality change roils period rates. In the short term, conventional calculations of age-specific probabilities of death and life expectancy in the period immediately after the change depend on how many lives have been saved. In the long term, the probabilities and period life expectancy also depend on how long these lives have been saved. When mortality is changing, calculations of period life expectancy do not, except in special circumstances, measure the life expectancy of a cohort of newborns that hypothetically live all their lives under the new mortality regime.life expectancy, life tables

    Foreword

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    Association of late childbearing with healthy longevity among the oldest-old in China

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    Statistical analysis of a large and unique longitudinal data set demonstrates that late childbearing after age 35 or 40 is significantly associated with survival and healthy survival among very old Chinese women and men. The association is stronger in oldest-old women than men. The estimates are adjusted for a variety of confounding factors of demographic characteristics, family support, social connections, health practices, and health conditions. Further analysis based on an extension of the Fixed Attribute Dynamics method shows that late childbearing is positively associated with long-term survival and healthy survival from ages 80-85 to 90-95 and 100-105. This association exists among oldest-old women and men, but, again, the effects are substantially stronger in women than men. We discuss four possible factors which may explain why late childbearing affects healthy longevity at advanced ages: (1) social factors; (2) biological changes caused by late pregnancy and delivery; (3) genetic and other biological characteristics; and (4) selection.
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