How to Measure Population Aging? the Answer Is Less than Obvious: A Review

Research output: Contribution to journalReview articleContributedpeer-review

Contributors

  • Vegard F. Skirbekk - , Columbia University, Norwegian Institute of Public Health (Author)
  • Ursula M. Staudinger - , Columbia University (Author)
  • Joel E. Cohen - , Rockefeller University, Columbia University, The University of Chicago (Author)

Abstract

Usually, population aging is measured to inform fiscal and social planning because it is considered to indicate the burden that an elderly population presents to the economic, social security, and health systems of a society. Measures of population aging are expected to indicate shifts in the distribution of individuals' attributes (e.g., chronological age, health) within a population that are relevant to assessing the burden. We claim that chronological age - even though it is the attribute most broadly used - may frequently not be the best measure to satisfy this purpose. A distribution of chronological age per se does not present a burden. Rather, burdens arise from the characteristics that supposedly or actually accompany chronological ages. We posit that in addition to chronological age, meaningful measures of population aging should reflect, for instance, the distribution of economic productivity, health, functional capacities, or biological age, as these attributes may more directly assess the burden on the socioeconomic and health systems. Here, we illustrate some limitations of measures of population aging based on each kind of measure, including chronological age, and review alternative measures that may better inform fiscal, social, and health planning.

Details

Original languageEnglish
Pages (from-to)136-144
Number of pages9
JournalGerontology
Volume65
Issue number2
Publication statusPublished - 1 Mar 2019
Peer-reviewedYes
Externally publishedYes

External IDs

PubMed 30544101

Keywords

Sustainable Development Goals

ASJC Scopus subject areas

Keywords

  • Biomarkers, Cognitive aging, Economic measures of aging Functional measures of aging, Life expectancy, Measures of population aging, Subjective measures of aging