TY - JOUR
T1 - The Ecology of Economic Distress and Life Expectancy
AU - Weeks, William Brinson
AU - Chang, Ji E.
AU - Pagán, José A.
AU - Adamson, Elizabeth
AU - Weinstein, James
AU - Ferres, Juan M.Lavista
N1 - Publisher Copyright:
Copyright © 2024 Weeks, Chang, Pagán, Adamson, Weinstein and Ferres.
PY - 2024
Y1 - 2024
N2 - 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 p < 0.001); improving county prosperity between 2000–2019 was associated with greater LE gains (p < 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.
AB - 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 p < 0.001); improving county prosperity between 2000–2019 was associated with greater LE gains (p < 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.
KW - life expectancy
KW - local economic prosperity
KW - racial disparities
KW - rurality
KW - social determinansts of health
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U2 - 10.3389/ijph.2024.1607295
DO - 10.3389/ijph.2024.1607295
M3 - Article
C2 - 39132383
AN - SCOPUS:85200724375
SN - 1661-8556
VL - 69
JO - International Journal of Public Health
JF - International Journal of Public Health
M1 - 1607295
ER -