The Ecology of Economic Distress and Life Expectancy.


Journal

International journal of public health
ISSN: 1661-8564
Titre abrégé: Int J Public Health
Pays: Switzerland
ID NLM: 101304551

Informations de publication

Date de publication:
2024
Historique:
received: 19 03 2024
accepted: 17 07 2024
medline: 12 8 2024
pubmed: 12 8 2024
entrez: 12 8 2024
Statut: epublish

Résumé

To determine whether life expectancy (LE) changes between 2000 and 2019 were associated with race, rural status, local economic prosperity, and changes in local economic prosperity, at the county level. Between 12/1/22 and 2/28/23, we conducted a retrospective analysis of 2000 and 2019 data from 3,123 United States counties. For Total, White, and Black populations, we compared LE changes for counties across the rural-urban continuum, the local economic prosperity continuum, and for counties in which local economic prosperity dramatically improved or declined. In both years, overall, across the rural-urban continuum, and for all studied populations, LE decreased with each progression from the most to least prosperous quintile (all At the county level, race, rurality, and local economic distress were all associated with LE; improvements in local economic conditions were associated with accelerated LE. Policymakers should appreciate the health externalities of investing in areas experiencing poor economic prosperity if their goal is to improve population health.

Identifiants

pubmed: 39132383
doi: 10.3389/ijph.2024.1607295
pii: 1607295
pmc: PMC11309997
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1607295

Informations de copyright

Copyright © 2024 Weeks, Chang, Pagán, Adamson, Weinstein and Ferres.

Déclaration de conflit d'intérêts

WW, JW, and LF were employed by Microsoft. EA was employed by the Novartis Foundation. JC and JP received salary support from the Novartis Foundation. EA, an employee of the funder, contributed to the review of the manuscript and gave her approval of the final manuscript as a co-author, but was not involved in the collection or analysis of the data.

Auteurs

William Brinson Weeks (WB)

Microsoft, AI for Good Lab, Redmond, WA, United States.

Ji E Chang (JE)

School of Global Public Health, New York University, New York, NY, United States.

José A Pagán (JA)

School of Global Public Health, New York University, New York, NY, United States.

Elizabeth Adamson (E)

Novartis Foundation, Basel, Switzerland.

James Weinstein (J)

Microsoft Research, Redmond, WA, United States.

Juan M Lavista Ferres (JML)

Microsoft, AI for Good Lab, Redmond, WA, United States.

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Classifications MeSH