Household Income and Chronic Disease Diagnoses: A County Level Analysis
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Increasing chronic disease burden is one of the most pressing problems the United States faces today despite maintaining the highest levels of health expenditure globally. This paper attempts to discern the relationship between county level diabetes diagnosis rates and median household income using regression analysis. A variety of other social determinants of health are considered in this study in order to account for factors that can impact chronic disease outcomes: density of Doctors of Medicine, insurance coverage, age, education levels, poverty levels, unemployment rates, and metropolitan classifications. Ultimately a negative association between income levels and diabetes diagnoses was found; as the median household income of a county increased, the percentage of the population diagnosed with diabetes decreased.