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Int. J. Environ. Res. Public Health 2017, 14(8), 866; doi:10.3390/ijerph14080866

Investigating the Spatial Dimension of Food Access

1
Office of Health Policy, Tennessee Department of Health, Nashville, TN 37208, USA
2
Department of Agricultural and Applied Economics, Virginia Tech, Blacksburg, VA 24060, USA
3
Department of Epidemiology, University of Nebraska Medical Center, Omaha, NE 68198, USA
*
Author to whom correspondence should be addressed.
Received: 11 April 2017 / Revised: 27 July 2017 / Accepted: 29 July 2017 / Published: 2 August 2017
(This article belongs to the Section Health Behavior, Chronic Disease and Health Promotion)
View Full-Text   |   Download PDF [717 KB, uploaded 2 August 2017]   |  

Abstract

The purpose of this article is to investigate the sensitivity of food access models to a dataset’s spatial distribution and the empirical definition of food access, which contributes to understanding the mixed findings of previous studies. Data was collected in the Dan River Region in the United States using a telephone survey for individual-level variables (n = 784) and a store audit for the location of food retailers and grocery store quality. Spatial scanning statistics assessed the spatial distribution of obesity and detected a cluster of grocery stores overlapping with a cluster of obesity centered on a grocery store suggesting that living closer to a grocery store increased the likelihood of obesity. Logistic regression further examined this relationship while controlling for demographic and other food environment variables. Similar to the cluster analysis results, increased distance to a grocery store significantly decreased the likelihood of obesity in the urban subsample (average marginal effects, AME = −0.09, p-value = 0.02). However, controlling for grocery store quality nullified these results (AME = −0.12, p-value = 0.354). Our findings suggest that measuring grocery store accessibility as the distance to the nearest grocery store captures variability in the spatial distribution of the health outcome of interest that may not reflect a causal relationship between the food environment and health. View Full-Text
Keywords: food access; grocery store accessibility; obesity; cluster analysis food access; grocery store accessibility; obesity; cluster analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Yenerall, J.; You, W.; Hill, J. Investigating the Spatial Dimension of Food Access. Int. J. Environ. Res. Public Health 2017, 14, 866.

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