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Association of walkability with obesity in Baltimore City, Maryland

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  • Casagrande, S.S.
  • Gittelsohn, J.
  • Zonderman, A.B.
  • Evans, M.K.
  • Gary-Webb, T.L.

Abstract

Objectives: To investigate the association between walkability and obesity, we studied adults residing in Baltimore City, Maryland, in neighborhoods of varying racial and socioeconomic composition. Methods: We conducted a cross-sectional study of 3493 participants from the study Healthy Aging in Neighborhoods of Diversity across the Life Span. We used the Pedestrian Environment Data Scan to measure neighborhood walkability in 34 neighborhoods of diverse racial and socioeconomic composition in which the study participants lived. Confirmatory factor analysis was used to determine walkability scores. Multilevel modeling was used to determine prevalence ratios for the association between walkability and obesity. Results: Among individuals living in predominately White and high-socioeconomic status (SES) neighborhoods, residing in highly walkable neighborhoods was associated with a lower prevalence of obesity when compared with individuals living in poorly walkable neighborhoods, after adjusting for individual-level demographic variables (prevalence ratio-[PR]=0.58; P=

Suggested Citation

  • Casagrande, S.S. & Gittelsohn, J. & Zonderman, A.B. & Evans, M.K. & Gary-Webb, T.L., 2011. "Association of walkability with obesity in Baltimore City, Maryland," American Journal of Public Health, American Public Health Association, vol. 101(SUPPL. 1), pages 318-324.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2009.187492_6
    DOI: 10.2105/AJPH.2009.187492
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    Cited by:

    1. Mohammad Javad Koohsari & Andrew T. Kaczynski & Tomoya Hanibuchi & Ai Shibata & Kaori Ishii & Akitomo Yasunaga & Tomoki Nakaya & Koichiro Oka, 2018. "Physical Activity Environment and Japanese Adults’ Body Mass Index," IJERPH, MDPI, vol. 15(4), pages 1-11, March.
    2. Xiaojiang Li & Debarchana Ghosh, 2018. "Associations between Body Mass Index and Urban “Green” Streetscape in Cleveland, Ohio, USA," IJERPH, MDPI, vol. 15(10), pages 1-10, October.
    3. Yuanqi Gu & Jaime Coffino & Rebecca Boswell & Zora Hall & Marie A. Bragg, 2021. "Associations between State-Level Obesity Rates, Engagement with Food Brands on Social Media, and Hashtag Usage," IJERPH, MDPI, vol. 18(23), pages 1-11, December.
    4. Michael, Yvonne L. & Nagel, Corey L. & Gold, Rachel & Hillier, Teresa A., 2014. "Does change in the neighborhood environment prevent obesity in older women?," Social Science & Medicine, Elsevier, vol. 102(C), pages 129-137.
    5. Congying Fang & Riken Homma & Tianfu Qiu, 2024. "A Bibliometrics Analysis Related to the Built Environment and Walking," Sustainability, MDPI, vol. 16(7), pages 1-17, March.

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