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Title: The Neighborhood Food Environment and Adult Weight Status: Estimates from Longitudinal Data
Resulting in 1 citation.
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Gibson, Diane M. |
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The Neighborhood Food Environment and Adult Weight Status: Estimates from Longitudinal Data American Journal of Public Health 101,1 (January 2011): 71-78. Also: http://ajph.aphapublications.org/cgi/content/abstract/101/1/71 Cohort(s): NLSY79 Publisher: American Public Health Association Keyword(s): Body Mass Index (BMI); Geocoded Data; Geographical Variation; Neighborhood Effects; Nutritional Status/Nutrition/Consumption Behaviors; Obesity; Rural/Urban Differences; Weight Permission to reprint the abstract has not been received from the publisher. OBJECTIVES: I used longitudinal data to consider the relationship between the neighborhood food environment and adult weight status. METHODS: I combined individual-level data on adults from the 1998 through 2004 survey years of the National Longitudinal Survey of Youth 1979 with zip code-level data on the neighborhood food environment. I estimated ordinary least squares models of obesity, body mass index (BMI), and change in BMI. RESULTS: For residents of urban areas, the neighborhood density of small grocery stores was positively and significantly related to obesity and BMI. For individuals who moved from a rural area to an urban area over a 2-year period, changes in neighborhood supermarket density, small grocery store density, and full-service restaurant density were significantly related to the change in BMI over that period. CONCLUSIONS: Residents of urban neighborhoods with a higher concentration of small grocery stores may be more likely to patronize these stores and consume more calories because small grocery stores tend to offer more unhealthy food options than healthy food options. Moving to an urban area may expose movers to a wider variety of food options that may influence calorie consumption. |
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Bibliography Citation
Gibson, Diane M. "The Neighborhood Food Environment and Adult Weight Status: Estimates from Longitudinal Data." American Journal of Public Health 101,1 (January 2011): 71-78.
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