ArticleJournal of racial and ethnic health disparities2024
Neighborhood Racial Segregation Predict the Spatial Distribution of Supermarkets and Grocery Stores Better than Socioeconomic Factors in Cleveland, Ohio: a Bayesian Spatial Approach.
Article in Journal of racial and ethnic health disparities, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Measuring Structural Racism to Advance Health Equity: A Scoping Review of Quantitative Approaches.Journal of racial and ethnic health disparities · 2026Review
- Perception of the Food Environment and Food Security Levels of Residents of the City of Rio de Janeiro.International journal of environmental research and public health · 2025Article
- Urban highways are barriers to social ties.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Association between geospatial disparities in food security with weight loss and nutritional outcomes of metabolic surgery.Surgical endoscopy · 2024Article
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4 authors.
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Abstract
introductionThe food environment influences the availability and affordability of food options for consumers in a given neighborhood. However, disparities in access to healthy food options exist, affecting Black and low-income communities disproportionately. This study investigated whether racial segregation predicted the spatial distribution of supermarkets and grocery stores better than socioeconomic factors or vice versa in Cleveland, Ohio.
methodThe outcome measure was the count of supermarket and grocery stores in each census tract in Cleveland. They were combined with US census bureau data as covariates. We fitted four Bayesian spatial models. The first model was a baseline model with no covariates. The second model accounted for racial segregation alone. The third model looked at only socioeconomic factors, and the final model combined both racial and socioeconomic factors.
resultsOverall model performance was better in the model that considered only racial segregation as a predictor of supermarkets and grocery stores (DIC = 476.29). There was 13% decrease in the number of stores for a census tract with a higher majority of Black people compared to areas with a lower number of Black people. Model 3 that considered only socioeconomic factors was less predictive of the retail outlets (DIC = 484.80).
conclusionsThese findings lead to the conclusion that structural racism evidenced in policies like residential segregation has a significant influence on the spatial distribution of food retail in the city of Cleveland.
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