2009
DOI: 10.1289/ehp.11590
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Neighborhood Food Environment and Walkability Predict Obesity in New York City

Abstract: BackgroundDifferences in the neighborhood food environment may contribute to disparities in obesity.ObjectivesThe purpose of this study was to examine the association of neighborhood food environments with body mass index (BMI) and obesity after control for neighborhood walkability.MethodsThis study employed a cross-sectional, multilevel analysis of BMI and obesity among 13,102 adult residents of New York City. We constructed measures of the food environment and walkability for the neighborhood, defined as a h… Show more

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Cited by 348 publications
(369 citation statements)
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“…Dengel et al (20) recently found inverse associations between metabolic syndrome and proximity to convenience stores. In agreement with Rundle et al (21) we found positive associations between proximity to fruit and vegetable/farmers' markets and BMI percentile. Taken together, these results can inform future health impact assessments for planning locations of convenience stores and farmers' markets.…”
Section: Discussionsupporting
confidence: 93%
“…Dengel et al (20) recently found inverse associations between metabolic syndrome and proximity to convenience stores. In agreement with Rundle et al (21) we found positive associations between proximity to fruit and vegetable/farmers' markets and BMI percentile. Taken together, these results can inform future health impact assessments for planning locations of convenience stores and farmers' markets.…”
Section: Discussionsupporting
confidence: 93%
“…In this measure, the total walkability score is the sum of zscores of five measures derived from urban planning literature: (1) residential population density, (2) land use mix, (3) intersection density, (4) retail floor area ratio, and (5) subway stop density. This measure has previously been shown to predict BMI [33], engagement in active transport [34], and total physical activity as recorded by accelerometer [35].…”
Section: Neighborhood Measuresmentioning
confidence: 99%
“…6,9,10 Support for this approach is drawn largely from observational studies linking physical activity with specific features of the built environment, including residential density, street connectivity, land use mix, pedestrian infrastructure, aesthetics, and access to recreational facilities and public transit. 9,[11][12][13][14][15][16][17][18][19] Given this increasing evidence, there is an urgent need for innovative, effective, and scalable approaches that can overcome the challenges of making such infrastructural modifications to the built environment to support active lifestyles at the population level.…”
Section: Introductionmentioning
confidence: 99%