Abstract 4369980: Impact of Socioeconomic Food Insecurity on Stroke Outcomes: A County-Level Geospatial Analysis Using CDC WONDER and USDA Data

Background: Food insecurity, defined as having limited or unpredictable access to enough food, is a severe public health issue that disproportionately affects socioeconomically disadvantaged people. Although stroke mortality and disability reflect well-established regional and racial disparities, the independent impact of food poverty on stroke outcomes is unknown. The relationship between county-level food insecurity and stroke mortality in the United States was investigated using national geospatial datasets. Methods: We conducted a cross-sectional ecological study using publicly available data from the CDC WONDER (Multiple Cause of Death Database, 2016-2021) and the USDA Food Access Research Atlas. USDA figures were used to categorize counties based on their food insecurity prevalence: low (<5%), moderate (5-14.9%), and high (≥ 15%). The age-adjusted stroke death rates (ICD-10: I61.x and I63.x) were obtained from CDC WONDER. Covariates included the county's poverty rate, racial composition, median family income, urban-rural status, and the density of major stroke centers. Geospatial mapping and multivariable linear regression models were used to assess associations. Results: Among 3,142 U.S. counties analyzed, those with high food insecurity had significantly higher age-adjusted stroke mortality rates (mean: 53.7 per 100,000) than those with low food insecurity (mean: 37.2 per 100,000; p<0.001). Despite controlling socioeconomic and healthcare access, significant food insecurity was still linked to higher stroke mortality (β = +4.21, 95% CI: 2.99-5.44, p < 0.001). Geographic heatmaps revealed death hotspots in the Southeast (Mississippi Delta, Alabama Black Belt) and rural Midwest—areas with high food poverty and low healthcare density. Black and Hispanic inhabitants in high-insecurity counties got much lower ratings. Conclusion: Food insecurity at the county level is a robust and independent predictor of stroke mortality in the United States, even after controlling for socioeconomic and healthcare access characteristics. emphasizes the critical need to include food security interventions into cardiovascular disease prevention frameworks. Targeted public health measures in high-risk communities may reduce stroke inequities and increase population-level outcomes.

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Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4369980
Primary Topic
Cardiovascular Health and Risk Factors
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article
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article

Abstract 4369980: Impact of Socioeconomic Food Insecurity on Stroke Outcomes: A County-Level Geospatial Analysis Using CDC WONDER and USDA Data

Harendra Kumar, Kateryna Georgiyeva, FNU Teena
Circulation
Cardiovascular Health and Risk Factors
article

Abstract 4369980: Impact of Socioeconomic Food Insecurity on Stroke Outcomes: A County-Level Geospatial Analysis Using CDC WONDER and USDA Data

Harendra Kumar, Kateryna Georgiyeva, FNU Teena
article en

Abstract

Background: Food insecurity, defined as having limited or unpredictable access to enough food, is a severe public health issue that disproportionately affects socioeconomically disadvantaged people. Although stroke mortality and disability reflect well-established regional and racial disparities, the independent impact of food poverty on stroke outcomes is unknown. The relationship between county-level food insecurity and stroke mortality in the United States was investigated using national geospatial datasets. Methods: We conducted a cross-sectional ecological study using publicly available data from the CDC WONDER (Multiple Cause of Death Database, 2016-2021) and the USDA Food Access Research Atlas. USDA figures were used to categorize counties based on their food insecurity prevalence: low (<5%), moderate (5-14.9%), and high (≥ 15%). The age-adjusted stroke death rates (ICD-10: I61.x and I63.x) were obtained from CDC WONDER. Covariates included the county's poverty rate, racial composition, median family income, urban-rural status, and the density of major stroke centers. Geospatial mapping and multivariable linear regression models were used to assess associations. Results: Among 3,142 U.S. counties analyzed, those with high food insecurity had significantly higher age-adjusted stroke mortality rates (mean: 53.7 per 100,000) than those with low food insecurity (mean: 37.2 per 100,000; p<0.001). Despite controlling socioeconomic and healthcare access, significant food insecurity was still linked to higher stroke mortality (β = +4.21, 95% CI: 2.99-5.44, p < 0.001). Geographic heatmaps revealed death hotspots in the Southeast (Mississippi Delta, Alabama Black Belt) and rural Midwest—areas with high food poverty and low healthcare density. Black and Hispanic inhabitants in high-insecurity counties got much lower ratings. Conclusion: Food insecurity at the county level is a robust and independent predictor of stroke mortality in the United States, even after controlling for socioeconomic and healthcare access characteristics. emphasizes the critical need to include food security interventions into cardiovascular disease prevention frameworks. Targeted public health measures in high-risk communities may reduce stroke inequities and increase population-level outcomes.

CirculationVol. 152(Suppl_3)
University of North Carolina at Pembroke (US), Dow University of Health Sciences (PK)
Openalex Percentile: Top 50%
Cardiovascular Health and Risk Factors
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