The Ecology of Economic Distress and Life Expectancy.

Int J Public Health

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

Published: August 2024

Objectives: 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.

Methods: 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.

Results: 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 < 0.001); improving county prosperity between 2000-2019 was associated with greater LE gains ( < 0.001 for all).

Conclusion: 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11309997PMC
http://dx.doi.org/10.3389/ijph.2024.1607295DOI Listing

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