International Gains to Achieving Healthy Longevity.


Journal

Cold Spring Harbor perspectives in medicine
ISSN: 2157-1422
Titre abrégé: Cold Spring Harb Perspect Med
Pays: United States
ID NLM: 101571139

Informations de publication

Date de publication:
01 02 2023
Historique:
pmc-release: 01 02 2025
pubmed: 13 9 2022
medline: 4 2 2023
entrez: 12 9 2022
Statut: epublish

Résumé

Utilizing economic tools, we evaluate the gains from improving the relationship between biological and chronological age in dollar terms. We show that the gains to individuals are substantial because targeting aging exploits synergies between health and life expectancy and the complementarities across different diseases. Gains are boosted by improvements in life expectancy and a rising number of older people. We compute the value of slowing aging in a range of countries and estimate that increasing life expectancy by 1 year has an annual benefit of ∼4%-5% of gross domestic product (GDP). Augmenting GDP with these measures of health gains reveals the growing importance of achieving healthy longevity as a means of boosting welfare, with the need being particularly acute in the United States.

Identifiants

pubmed: 36096548
pii: cshperspect.a041202
doi: 10.1101/cshperspect.a041202
pmc: PMC9899644
pii:
doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIA NIH HHS
ID : R01 AG019719
Pays : United States

Informations de copyright

Copyright © 2023 Cold Spring Harbor Laboratory Press; all rights reserved.

Auteurs

Andrew Scott (A)

London Business School and Research Fellow, Centre for Economic Policy Research, Regent's Park, London NW1 4SA, United Kingdom.

Julian Ashwin (J)

London Business School, Regent's Park, London NW1 4SA, United Kingdom.

Martin Ellison (M)

University of Oxford, Nuffield College, NuCamp, CEPR, Oxford OX1 1NF, United Kingdom.

David Sinclair (D)

Department of Genetics, Blavatnik Institute, Boston, Massachusetts 02115, USA.

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Classifications MeSH