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Variations in Obesity Rates between US Counties: Impacts of Activity Access, Food Environments, and Settlement Patterns

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  • Peter Congdon

    (School of Geography, Queen Mary University of London, London E1 4NS, UK)

Abstract

There is much ongoing research about the effect of the urban environment as compared with individual behaviour on growing obesity levels, including food environment, settlement patterns (e.g., sprawl, walkability, commuting patterns), and activity access. This paper considers obesity variations between US counties, and delineates the main dimensions of geographic variation in obesity between counties: by urban-rural status, by region, by area poverty status, and by majority ethnic group. Available measures of activity access, food environment, and settlement patterns are then assessed in terms of how far they can account for geographic variation. A county level regression analysis uses a Bayesian methodology that controls for spatial correlation in unmeasured area risk factors. It is found that environmental measures do play a significant role in explaining geographic contrasts in obesity.

Suggested Citation

  • Peter Congdon, 2017. "Variations in Obesity Rates between US Counties: Impacts of Activity Access, Food Environments, and Settlement Patterns," IJERPH, MDPI, vol. 14(9), pages 1-18, September.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:9:p:1023-:d:111150
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    1. Pascual, Cruz & Regidor, Enrique & Astasio, Paloma & Ortega, Paloma & Navarro, Pedro & Domínguez, Vicente, 2007. "The association of current and sustained area-based adverse socioeconomic environment with physical inactivity," Social Science & Medicine, Elsevier, vol. 65(3), pages 454-466, August.
    2. Lopez, R., 2004. "Urban sprawl and risk for being overweight or obese," American Journal of Public Health, American Public Health Association, vol. 94(9), pages 1574-1579.
    3. Crane, Randall, 2007. "Is There a Quiet Revolution in Women's Travel? Revisiting the Gender Gap in Commuting," University of California Transportation Center, Working Papers qt8nj9n8nb, University of California Transportation Center.
    4. Pucher, J. & Buehler, R. & Bassett, D.R. & Dannenberg, A.L., 2010. "Walking and cycling to health: A comparative analysis of city, state, and international data," American Journal of Public Health, American Public Health Association, vol. 100(10), pages 1986-1992.
    5. Jacobson, Sheldon H. & King, Douglas M. & Yuan, Rong, 2011. "A note on the relationship between obesity and driving," Transport Policy, Elsevier, vol. 18(5), pages 772-776, September.
    6. Jackson, R.J. & Dannenberg, A.L. & Frumkin, H., 2013. "Health and the built environment: 10 years after," American Journal of Public Health, American Public Health Association, vol. 103(9), pages 1542-1544.
    7. Hilmers, A. & Hilmers, D.C. & Dave, J., 2012. "Neighborhood disparities in access to healthy foods and their effects on environmental justice," American Journal of Public Health, American Public Health Association, vol. 102(9), pages 1644-1654.
    8. Deja Hendrickson & Chery Smith & Nicole Eikenberry, 2006. "Fruit and vegetable access in four low-income food deserts communities in Minnesota," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 23(3), pages 371-383, October.
    9. Candice A Myers & Tim Slack & Corby K Martin & Stephanie T Broyles & Steven B Heymsfield, 2016. "Change in Obesity Prevalence across the United States Is Influenced by Recreational and Healthcare Contexts, Food Environments, and Hispanic Populations," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-12, February.
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    Cited by:

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    3. Alba Martínez-García & Eva María Trescastro-López & María Eugenia Galiana-Sánchez & Pamela Pereyra-Zamora, 2019. "Data Collection Instruments for Obesogenic Environments in Adults: A Scoping Review," IJERPH, MDPI, vol. 16(8), pages 1-27, April.
    4. Xue Zhang & Mildred E. Warner & Elaine Wethington, 2020. "Can Age-Friendly Planning Promote Equity in Community Health Across the Rural-Urban Divide in the US?," IJERPH, MDPI, vol. 17(4), pages 1-16, February.
    5. Darren J. Mayne & Geoffrey G. Morgan & Bin B. Jalaludin & Adrian E. Bauman, 2019. "Area-Level Walkability and the Geographic Distribution of High Body Mass in Sydney, Australia: A Spatial Analysis Using the 45 and Up Study," IJERPH, MDPI, vol. 16(4), pages 1-29, February.
    6. Peter Congdon, 2019. "Obesity and Urban Environments," IJERPH, MDPI, vol. 16(3), pages 1-6, February.
    7. Marcus R. Andrews & Kosuke Tamura & Janae N. Best & Joniqua N. Ceasar & Kaylin G. Batey & Troy A. Kearse & Lavell V. Allen & Yvonne Baumer & Billy S. Collins & Valerie M. Mitchell & Tiffany M. Powell-, 2021. "Spatial Clustering of County-Level COVID-19 Rates in the U.S," IJERPH, MDPI, vol. 18(22), pages 1-22, November.

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