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Food Swamps Predict Obesity Rates Better Than Food Deserts in the United States

Open access
Cooksey-Stowers, Kristen, Schwartz, Marlene, Brownell, Kelly·2017·International Journal of Environmental Research and Public Health

Abstract

This paper investigates the effect of food environments, characterized as food swamps, on adult obesity rates. Food swamps have been described as areas with a high-density of establishments selling high-calorie fast food and junk food, relative to healthier food options. This study examines multiple ways of categorizing food environments as food swamps and food deserts, including alternate versions of the Retail Food Environment Index. We merged food outlet, sociodemographic and obesity data from the United States Department of Agriculture (USDA) Food Environment Atlas, the American Community Survey, and a commercial street reference dataset. We employed an instrumental variables (IV) strategy to correct for the endogeneity of food environments (i.e., that individuals self-select into neighborhoods and may consider food availability in their decision). Our results suggest that the presence of a food swamp is a stronger predictor of obesity rates than the absence of full-service grocery stores. We found, even after controlling for food desert effects, food swamps have a positive, statistically significant effect on adult obesity rates. All three food swamp measures indicated the same positive association, but reflected different magnitudes of the food swamp effect on rates of adult obesity (p values ranged from 0.00 to 0.16). Our adjustment for reverse causality, using an IV approach, revealed a stronger effect of food swamps than would have been obtained by naïve ordinary least squares (OLS) estimates. The food swamp effect was stronger in counties with greater income inequality (p < 0.05) and where residents are less mobile (p < 0.01). Based on these findings, local government policies such as zoning laws simultaneously restricting access to unhealthy food outlets and incentivizing healthy food retailers to locate in underserved neighborhoods warrant consideration as strategies to increase health equity.

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Crossref · 10.3390/ijerph14111366

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Metadata

Authors
Cooksey-Stowers, K., Schwartz, M., & Brownell, K.
Venue
International Journal of Environmental Research and Public Health
Publisher
MDPI AG
Published
2017-11-14
Volume
14
Issue
11
Pages
1366
ISSN
1660-4601 (ISSN-L)
OpenAlex
W2770887445
Cited by
641
References
49
FWCI
28.51
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Food Swamps Predict Obesity Rates Better Than Food Deserts in the United States. https://app.cochat.ai/papers/10.3390/ijerph14111366
The paper
Cooksey-Stowers, K., Schwartz, M., & Brownell, K. (2017). Food Swamps Predict Obesity Rates Better Than Food Deserts in the United States. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph14111366

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.