Life Sciences & Biomedicine Public, Environmental & Occupational Health Science & Technology
Food access literature links disinvested communities with poor food access. Similarly, links are made between discriminatory housing practices and contemporary investment. Less work has examined the relationship between housing practices and food environment disparities. Our central premise is that these practices create distinctions in food environment quality, and that these disparities may have implications for food system advocacy and policymaking. In this paper, we link an objective food environment assessment with a spatial database highlighting redlining, blockbusting, and gentrification in Baltimore, Maryland, USA. Standard socioeconomic and housing characteristics are used to control for race, income, and housing composition in a multivariate regression analysis. Our findings highlight that blockbusting- rather than redlining-most strongly shapes poor food access. Redlining and gentrification, meanwhile, are associated with better food access. These findings raise important points about future policy discussions, which should instead be focused on ameliorating more contemporary patterns of housing inequality. (c) 2020 Elsevier Ltd. All rights reserved.
Linking historical discriminatory housing patterns to the contemporary food environment in Baltimore
Creators
Richard C. Sadler - Michigan State University
Usama Bilal - Drexel University
C. Debra Furr-Holden - Michigan State Univ, Div Publ Hlth, E Lansing, MI 48824 USA
Publication Details
Spatial and spatio-temporal epidemiology, v 36, pp 100387-100387
Publisher
Elsevier
Number of pages
12
Grant note
Bloomberg Fellowship from the Bloomberg American Health Initiative at Johns Hopkins Bloomberg School of Public Health
R21AA026674 / National Institute on Alcohol Abuse and Alcoholism; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Alcohol Abuse & Alcoholism (NIAAA)
Resource Type
Journal article
Language
English
Academic Unit
Urban Health Collaborative
Web of Science ID
WOS:000615947400010
Scopus ID
2-s2.0-85095916963
Other Identifier
991019167559304721
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