Beyond Supermarkets: Food Outlet Location Selection in Four U.S. Cities Over Time.

Am J Prev Med

Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Carolina Population Center, Chapel Hill, North Carolina. Electronic address:

Published: March 2017

AI Article Synopsis

  • Understanding neighborhood characteristics is crucial for addressing disparities in access to healthy food outlets, yet limited research has explored how these factors change over time based on neighborhood income.
  • Data from four U.S. cities analyzed over several years revealed that lower neighborhood-level income is linked to a higher density of unhealthy food outlets like convenience stores and fast food restaurants, particularly in low-income areas.
  • The findings suggest that socioeconomically disadvantaged communities may face an increase in "unhealthy" food options, indicating that improving access to healthy food may require addressing the prevalence of less healthy outlets rather than just increasing supermarket availability.

Article Abstract

Introduction: Understanding what influences where food outlets locate is important for mitigating disparities in access to healthy food outlets. However, few studies have examined how neighborhood characteristics influence the neighborhood food environment over time, and whether these relationships differ by neighborhood-level income.

Methods: Neighborhood-level data from four U.S. cities (Birmingham, AL; Chicago, IL; Minneapolis, MN; Oakland, CA) from 1986, 1993, 1996, 2001, 2006, and 2011 were used with two-step econometric models to estimate longitudinal associations between neighborhood-level characteristics (z-scores) and the log-transformed count/km (density) of food outlets within real estate-derived neighborhoods. Associations were examined with lagged neighborhood-level sociodemographics and lagged density of food outlets, with interaction terms for neighborhood-level income. Data were analyzed in 2016.

Results: Neighborhood-level income at earlier years was negatively associated with the current density of convenience stores (β= -0.27, 95% CI= -0.16, -0.38, p<0.001). The percentage of neighborhood white population was negatively associated with fast food restaurant density in low-income neighborhoods (10th percentile of income: β= -0.17, 95% CI= -0.34, -0.002, p=0.05), and the density of smaller grocery stores across all income levels (β= -0.27, 95% CI= -0.45, -0.09, p=0.003). There was a lack of policy-relevant associations between the pre-existing food environment and the current density of food outlet types, including supermarkets.

Conclusions: Socioeconomically disadvantaged and minority populations may attract "unhealthy" food outlets over time. To support equal access to healthy food outlets, the availability of "less healthy" food outlets types may be relatively more important than the potential lack of supermarkets or full-service restaurants.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5448705PMC
http://dx.doi.org/10.1016/j.amepre.2016.08.042DOI Listing

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