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Resident Perceptions of Neighborhood Conditions, Food Access, Transportation Usage, and Obesity in a Rapidly Changing Central City

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  • Rayman Mohamed

    (Urban Studies and Planning, Wayne State University, Detroit, MI 48202, USA)

Abstract

There is a lack of research on obesity that uses primary data and fine-grained information on neighborhoods. I use primary data for 367 participants in Detroit to examine neighborhood predictors of obesity. These data were supplemented with public data. I considered multilevel and spatial modeling, but the data lent itself best to ordinary least squares (OLS) regressions. I find that socioeconomic factors, the built environment, transportation usage, and perceptions of neighborhoods are important predictors of obesity. Importantly, litter is associated with higher levels of obesity. Planners can take measures to reduce litter and collaborate with other policy-makers to encourage less driving, though drawing direct lines of causality is complicated.

Suggested Citation

  • Rayman Mohamed, 2018. "Resident Perceptions of Neighborhood Conditions, Food Access, Transportation Usage, and Obesity in a Rapidly Changing Central City," IJERPH, MDPI, vol. 15(6), pages 1-14, June.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:6:p:1201-:d:151266
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    References listed on IDEAS

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    1. Darius Lakdawalla & Tomas Philipson, 2002. "The Growth of Obesity and Technological Change: A Theoretical and Empirical Examination," Working Papers 0203, Harris School of Public Policy Studies, University of Chicago.
    2. Berke, E.M. & Koepsell, T.D. & Moudon, A.V. & Hoskins, R.E. & Larson, E.B., 2007. "Association of the built environment with physical activity and obesity in older persons," American Journal of Public Health, American Public Health Association, vol. 97(3), pages 486-492.
    3. Robert, Stephanie A. & Reither, Eric N., 2004. "A multilevel analysis of race, community disadvantage, and body mass index among adults in the US," Social Science & Medicine, Elsevier, vol. 59(12), pages 2421-2434, December.
    4. Baum II, Charles L. & Ruhm, Christopher J., 2009. "Age, socioeconomic status and obesity growth," Journal of Health Economics, Elsevier, vol. 28(3), pages 635-648, May.
    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. Saelens, B.E. & Moudon, A.V. & Kang, B. & Hurvitz, P.M. & Zhou, C., 2014. "Relation between higher physical activity and public transit use," American Journal of Public Health, American Public Health Association, vol. 104(5), pages 854-859.
    7. Jackson, R.J., 2003. "The Impact of the Built Environment on Health: An Emerging Field," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1382-1384.
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