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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.

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  • 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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    2. Haoxuan Ge & Jue Wang, 2023. "Spatial Non-Stationarity Effects of Unhealthy Food Environments and Green Spaces for Type-2 Diabetes in Toronto," Sustainability, MDPI, vol. 15(3), pages 1-25, January.
    3. 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.
    4. Tao Zhang, 2016. "Socioeconomic determinants of obesity and hypertension at the county level in China," Mathematical Population Studies, Taylor & Francis Journals, vol. 23(4), pages 239-252, October.
    5. Cecilia Anza-Ramirez & Mariana Lazo & Jessica Hanae Zafra-Tanaka & Ione Avila-Palencia & Usama Bilal & Akram Hernández-Vásquez & Carolyn Knoll & Nancy Lopez-Olmedo & Mónica Mazariegos & Kari Moore & D, 2022. "The urban built environment and adult BMI, obesity, and diabetes in Latin American cities," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    6. Zhongyu He & Weijie Pan, 2022. "Food Acquisition during the COVID-19 Lockdown and Its Associations with the Physical–Digital Integrated Community Food Environment: A Case Study of Nanjing, China," IJERPH, MDPI, vol. 19(13), pages 1-13, June.
    7. 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.
    8. Anup Agrawal & Yuree Lim, 2018. "Local Obesity Prevalence and Corporate Policies," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 8(02), pages 1-33, June.
    9. 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.
    10. Zeng, Di & Thomsen, Michael R. & Nayga, Rodolfo M. & Bennett, Judy L., 2019. "Supermarket access and childhood bodyweight: Evidence from store openings and closings," Economics & Human Biology, Elsevier, vol. 33(C), pages 78-88.
    11. Linda S Geiss & Karen Kirtland & Ji Lin & Sundar Shrestha & Ted Thompson & Ann Albright & Edward W Gregg, 2017. "Changes in diagnosed diabetes, obesity, and physical inactivity prevalence in US counties, 2004-2012," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-10, March.
    12. 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.
    13. Phillips, Aryn Z. & Rodriguez, Hector P., 2020. "U.S. county “food swamp” severity and hospitalization rates among adults with diabetes: A nonlinear relationship," Social Science & Medicine, Elsevier, vol. 249(C).
    14. 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.
    15. 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.
    16. Enthoven, Laura & Van den Broeck, Goedele, 2021. "Local food systems: Reviewing two decades of research," Agricultural Systems, Elsevier, vol. 193(C).
    17. Danna Ethan & Corey H. Basch & Sonali Rajan & Lalitha Samuel & Rodney N. Hammond, 2013. "A Comparison of the Nutritional Quality of Food Products Advertised in Grocery Store Circulars of High- versus Low-Income New York City Zip Codes," IJERPH, MDPI, vol. 11(1), pages 1-11, December.
    18. 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.
    19. Davillas, Apostolos & Jones, Andrew M., 2020. "Regional inequalities in adiposity in England: distributional analysis of the contribution of individual-level characteristics and the small area obesogenic environment," Economics & Human Biology, Elsevier, vol. 38(C).

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