Introduction Economic opportunity is a core pillar of the American Dream but is not distributed equally across communities. Substantial evidence has identified economic opportunity as an independent social determinant of health, but relatively little is known about opportunity’s relationship with other socioeconomic characteristics such as income. Here we address this gap in the literature to examine how area-level economic opportunity modifies the income-health gradient.
Methods We used multivariable ordinary least squares models to estimate the association between self-reported health and economic opportunity across household income levels for working age adults (ages 25-64). Our measures of income and health come from the 2010-2019 Current Population Survey Annual Social and Economic Supplements. Our measure of economic opportunity was drawn from Opportunity Insights and represents the county-averaged national income percentile rank attained in adulthood for individuals born to parents at the 25th percentile of the income distribution. We adjusted for a wide range of individual- and county-level demographic and socioeconomic characteristics.
Results We find that county-level economic opportunity modified the gradient in self-reported health and household income among working-age adults. Effects were particularly pronounced in the lowest income deciles – an interdecile increase in economic opportunity was associated with closing almost 33% of the gap in health between the lowest and highest income deciles. The results were robust to sensitivity analyses.
Conclusion We show that local area economic opportunity flattens the relationship between household income and health, with lower-income individuals benefitting the most from living in high opportunity areas.
Competing Interest StatementThe authors have declared no competing interest.
Funding StatementThis study did not receive any funding.
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The details of the IRB/oversight body that provided approval or exemption for the research described are given below:
Minnesota Population Center, Integrated Public Use Microdata Project (IPUMS): https://cps.ipums.org/cps/
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