Demographic perspectives on the rise of longevity.

James W Vaupel, Francisco Villavicencio, Marie-Pier Bergeron-Boucher
Author Information
  1. James W Vaupel: Danish Centre for Demographic Research, University of Southern Denmark, 5230 Odense, Denmark; jvaupel@sdu.dk. ORCID
  2. Francisco Villavicencio: Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205. ORCID
  3. Marie-Pier Bergeron-Boucher: Danish Centre for Demographic Research, University of Southern Denmark, 5230 Odense, Denmark. ORCID

Abstract

This article reviews some key strands of demographic research on past trends in human longevity and explores possible future trends in life expectancy at birth. Demographic data on age-specific mortality are used to estimate life expectancy, and validated data on exceptional life spans are used to study the maximum length of life. In the countries doing best each year, life expectancy started to increase around 1840 at a pace of almost 2.5 y per decade. This trend has continued until the present. Contrary to classical evolutionary theories of senescence and contrary to the predictions of many experts, the frontier of survival is advancing to higher ages. Furthermore, individual life spans are becoming more equal, reducing inequalities, with octogenarians and nonagenarians accounting for most deaths in countries with the highest life expectancy. If the current pace of progress in life expectancy continues, most children born this millennium will celebrate their 100th birthday. Considerable uncertainty, however, clouds forecasts: Life expectancy and maximum life span might increase very little if at all, or longevity might rise much faster than in the past. Substantial progress has been made over the past three decades in deepening understanding of how long humans have lived and how long they might live. The social, economic, health, cultural, and political consequences of further increases in longevity are so significant that the development of more powerful methods of forecasting is a priority.

Keywords

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Grants

  1. P01 AG031719/NIA NIH HHS

MeSH Term

Aged, 80 and over
Female
Forecasting
Global Burden of Disease
Global Health
Humans
Life Expectancy
Longevity
Male
Risk Factors
Uncertainty

Word Cloud

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