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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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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    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. Sharifah Saffinas Syed Soffian & Azmawati Mohammed Nawi & Rozita Hod & Huan-Keat Chan & Muhammad Radzi Abu Hassan, 2021. "Area-Level Determinants in Colorectal Cancer Spatial Clustering Studies: A Systematic Review," IJERPH, MDPI, vol. 18(19), pages 1-20, October.
    6. Peter Congdon, 2019. "Obesity and Urban Environments," IJERPH, MDPI, vol. 16(3), pages 1-6, February.
    7. Julia Díez & Pedro Gullón & María Sandín Vázquez & Belén Álvarez & María Del Prado Martín & María Urtasun & Maite Gamarra & Joel Gittelsohn & Manuel Franco, 2018. "A Community-Driven Approach to Generate Urban Policy Recommendations for Obesity Prevention," IJERPH, MDPI, vol. 15(4), pages 1-15, March.

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