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Obesity and diabetes, the built environment, and the ‘local’ food economy in the United States, 2007

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  • Salois, Matthew J.

Abstract

Obesity and diabetes are increasingly attributed to environmental factors, however, little attention has been paid to the influence of the ‘local’ food economy. This paper examines the association of measures relating to the built environment and ‘local’ agriculture with U.S. county-level prevalence of obesity and diabetes. Key indicators of the ‘local’ food economy include the density of farmers’ markets and the presence of farms with direct sales. This paper employs a robust regression estimator to account for non-normality of the data and to accommodate outliers. Overall, the built environment is associated with the prevalence of obesity and diabetes and a strong local’ food economy may play an important role in prevention. Results imply considerable scope for community-level interventions.

Suggested Citation

  • Salois, Matthew J., 2012. "Obesity and diabetes, the built environment, and the ‘local’ food economy in the United States, 2007," Economics & Human Biology, Elsevier, vol. 10(1), pages 35-42.
    • Handle: RePEc:eee:ehbiol:v:10:y:2012:i:1:p:35-42
    DOI: 10.1016/j.ehb.2011.04.001
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    References listed on IDEAS

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    1. repec:ags:ifaamr:266451 is not listed on IDEAS
    2. Thapaliya, Sudha & Interis, Matthew G. & Collart, Alba J. & Walters, Lurleen & Morgan, Kimberly L., 2014. "Health Motivation for Purchasing Local Foods in the Southeastern United States," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196803, Southern Agricultural Economics Association.
    3. repec:taf:mpopst:v:23:y:2016:i:4:p:239-252 is not listed on IDEAS
    4. Do, D. Phuong & Watkins, Daphne C. & Hiermeyer, Martin & Finch, Brian K., 2013. "The relationship between height and neighborhood context across racial/ethnic groups: A multi-level analysis of the 1999–2004 U.S. National Health and Nutrition Examination Survey," Economics & Human Biology, Elsevier, vol. 11(1), pages 30-41.
    5. repec:wsi:qjfxxx:v:08:y:2018:i:02:n:s2010139218500076 is not listed on IDEAS
    6. Benedek, Zsófia & Fertő, Imre & Baráth, Lajos & Tóth, József, 2014. "Factors influencing the decision of small-scale farmers on marketing channel choice: a Hungarian case study," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182747, European Association of Agricultural Economists.
    7. repec:eee:ehbiol:v:33:y:2019:i:c:p:78-88 is not listed on IDEAS
    8. Bimbo, Francesco & Bonanno, Alessandro & Nardone, Gianluca & Viscecchia, Rosaria, 2015. "The Hidden Benefits of Short Food Supply Chains: Farmers’ Markets Density and Body Mass Index in Italy," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 18(1), pages 1-16, February.
    9. Wen, Ming & Maloney, Thomas N., 2014. "Neighborhood socioeconomic status and BMI differences by immigrant and legal status: Evidence from Utah," Economics & Human Biology, Elsevier, vol. 12(C), pages 120-131.
    10. Minor, Travis, 2013. "An investigation into the effect of type I and type II diabetes duration on employment and wages," Economics & Human Biology, Elsevier, vol. 11(4), pages 534-544.
    11. Srinivasan, C.S., 2013. "Can adherence to dietary guidelines address excess caloric intake? An empirical assessment for the UK," Economics & Human Biology, Elsevier, vol. 11(4), pages 574-591.

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