State- and County-Level Social Determinants of Health-Adjusted Life Expectancy
Elizabeth Davis, Nasim Ferdows, Daniel Kim

TL;DR
This study examines how social and economic factors affect health-adjusted life expectancy in the U.S. at the state and county levels.
Contribution
The study identifies specific social and economic determinants of health-adjusted life expectancy using state and county-level data.
Findings
Higher state tax burden and earned income tax credit rate are positively linked to health-adjusted life expectancy.
County-level social capital and median household income are associated with better health-adjusted life expectancy.
Poverty, income inequality, and unemployment are inversely related to health-adjusted life expectancy.
Abstract
In the United States, health-adjusted life expectancy (HALE) declined by 0.3 years between 2009 and 2019, which may reflect increased deaths related to drug overdose, suicide, and alcohol. To combat the rise in such “deaths of despair,” it is critical to identify their root causes including social and economic determinants and address them through corresponding policies. We obtained county-level HALE from 2009 and 2019 through the Global Burden of Diseases, Injuries, and Risk Factors Study. Using state fixed effects models and these panel data, we explored multiple social and economic determinants of HALE simultaneously including the state-level percentage in poverty, gender pay gap ratio, violent crime rate, tax burden, earned income tax credit rate, income inequality, welfare spending, and education spending; and county-level social capital, debt-to-income ratio, and racial…
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Taxonomy
TopicsHealth disparities and outcomes · Insurance, Mortality, Demography, Risk Management · Global Health Care Issues
