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Objective <p>The goal of this study was to evaluate the relationship between population level social risk and diabetes prevalence using US census tract data.</p> Methods <p>We combined data from the CDC PLACES 2019 database and the Opportunity Insights database. Multiple linear regression was run with standardized estimates to investigate incarceration, poverty, housing, education, employment, job environment, economic mobility, and healthcare access as independent correlates of diabetes prevalence at the census tract, adjusting for US population and state fixed effects.</p> Results <p>The final analytic sample consisted of 11,457 census tracts within 157 counties in 38 states. Mean prevalence of diabetes was 11.8%. Healthcare access variables had the strongest association with every standard deviation (SD) increase in proportion with an annual check-up or proportion uninsured, associated with crude prevalence increase of 0.7 or 0.5 SD, respectively. Social risk factors were significant with poverty (every SD increase in income below the poverty line in the full model), housing (every SD increase in average rent for a two-bedroom apartment), and education (every SD increase in proportion of residents with a college degree) each associated with a 0.1 SD increase in crude prevalence of diabetes, and incarceration associated with 0.05 SD increase. Crude prevalence of diabetes varied across states.</p> Conclusions <p>The strongest drivers of prevalence of diabetes at the census tract were healthcare access, measured by insurance and having a usual source of care, income, housing, education, and incarceration. Efforts are needed to improve healthcare access while also addressing social risk at the neighborhood level.</p>

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Association between population level social risk factors and prevalence of diabetes

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年9月30日

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  • Leonard E. Egede,
  • Rebekah J. Walker,
  • Sebastian Linde

摘要

Objective

The goal of this study was to evaluate the relationship between population level social risk and diabetes prevalence using US census tract data.

Methods

We combined data from the CDC PLACES 2019 database and the Opportunity Insights database. Multiple linear regression was run with standardized estimates to investigate incarceration, poverty, housing, education, employment, job environment, economic mobility, and healthcare access as independent correlates of diabetes prevalence at the census tract, adjusting for US population and state fixed effects.

Results

The final analytic sample consisted of 11,457 census tracts within 157 counties in 38 states. Mean prevalence of diabetes was 11.8%. Healthcare access variables had the strongest association with every standard deviation (SD) increase in proportion with an annual check-up or proportion uninsured, associated with crude prevalence increase of 0.7 or 0.5 SD, respectively. Social risk factors were significant with poverty (every SD increase in income below the poverty line in the full model), housing (every SD increase in average rent for a two-bedroom apartment), and education (every SD increase in proportion of residents with a college degree) each associated with a 0.1 SD increase in crude prevalence of diabetes, and incarceration associated with 0.05 SD increase. Crude prevalence of diabetes varied across states.

Conclusions

The strongest drivers of prevalence of diabetes at the census tract were healthcare access, measured by insurance and having a usual source of care, income, housing, education, and incarceration. Efforts are needed to improve healthcare access while also addressing social risk at the neighborhood level.