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Neighborhood food environment and obesity in community-dwelling older adults: Individual and neighborhood effects

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  • Pruchno, R.
  • Wilson-Genderson, M.
  • Gupta, A.K.

Abstract

Objectives. We tested hypotheses about the relationship between neighborhoodlevel food sources and obesity, controlling for individual-level characteristics. Methods. Data (collected November 2006-April 2008) derived from a randomdigit- dial sample of 5688 community-dwelling adults aged 50 to 74 years residing in 1644 census tracts in New Jersey. Using multilevel structural equation models, we created latent constructs representing density of fast-food establishments and storefronts (convenience stores, bars and pubs, grocery stores) and an observed indicator for supermarkets at the neighborhood level, simultaneously modeling obesity and demographic characteristics (age, gender, race, education, household income) at the individual level. Results. When we controlled for individual-level age, gender, race, education, and household income, densities of fast-food establishments and storefronts were positively associated with obesity. Supermarkets were not associated with obesity. Conclusions. Because people living in neighborhoods with a higher density of fast food and storefronts are more likely to be obese, these neighborhoods may be optimal sites for interventions.

Suggested Citation

  • Pruchno, R. & Wilson-Genderson, M. & Gupta, A.K., 2014. "Neighborhood food environment and obesity in community-dwelling older adults: Individual and neighborhood effects," American Journal of Public Health, American Public Health Association, vol. 104(5), pages 924-929.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2013.301788_5
    DOI: 10.2105/AJPH.2013.301788
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    Cited by:

    1. Man Zhang & Wen Guo & Na Zhang & Hairong He & Yu Zhang & Mingzhu Zhou & Jianfen Zhang & Muxia Li & Guansheng Ma, 2020. "Association between Neighborhood Food Environment and Body Mass Index among Older Adults in Beijing, China: A Cross-Sectional Study," IJERPH, MDPI, vol. 17(20), pages 1-16, October.
    2. María Sandín Vázquez & Jesús Rivera & Paloma Conde & Marta Gutiérrez & Julia Díez & Joel Gittelsohn & Manuel Franco, 2019. "Social Norms Influencing the Local Food Environment as Perceived by Residents and Food Traders: The Heart Healthy Hoods Project," IJERPH, MDPI, vol. 16(3), pages 1-13, February.
    3. Namin, S. & Zhou, Y. & Neuner, J. & Beyer, K., 2021. "The role of residential history in cancer research: A scoping review," Social Science & Medicine, Elsevier, vol. 270(C).
    4. Mi Namgung & B. Elizabeth Mercado Gonzalez & Seungwoo Park, 2019. "The Role of Built Environment on Health of Older Adults in Korea: Obesity and Gender Differences," IJERPH, MDPI, vol. 16(18), pages 1-13, September.
    5. Timothy F. Ledoux & Igor Vojnovic & June Manning Thomas & Kameshwari Pothukuchi, 2017. "Standing in the Shadows of Obesity: The Local Food Environment and Obesity in Detroit," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 108(5), pages 605-624, October.
    6. Maureen Murphy & Hannah Badland & Helen Jordan & Mohammad Javad Koohsari & Billie Giles-Corti, 2018. "Local Food Environments, Suburban Development, and BMI: A Mixed Methods Study," IJERPH, MDPI, vol. 15(7), pages 1-19, July.
    7. Ran Xu & Xiao Huang & Kai Zhang & Weixuan Lyu & Debarchana Ghosh & Zhenlong Li & Xiang Chen, 2023. "Integrating human activity into food environments can better predict cardiometabolic diseases in the United States," Nature Communications, Nature, vol. 14(1), pages 1-9, December.

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