[HTML][HTML] Peer reviewed: neighborhood food environment, diet, and obesity among Los Angeles County adults, 2011

N Mejia, AS Lightstone, R Basurto-Davila… - Preventing chronic …, 2015 - ncbi.nlm.nih.gov
N Mejia, AS Lightstone, R Basurto-Davila, DM Morales, R Sturm
Preventing chronic disease, 2015ncbi.nlm.nih.gov
Methods We analyzed data from the 2011 Los Angeles County Health Survey. We created
buffers (from 0.25 to 3.0 miles in radius) centered in respondents' residential addresses and
counted the number of food outlets by type in each buffer. Dependent variables were weekly
intake of fruits and vegetables, sugar-sweetened beverages, and fast food; BMI; and being
overweight (BMI≥ 25.0 kg/m 2) or obese (BMI≥ 30.0 kg/m 2). Explanatory variables were
the number of outlets classified as fast-food outlets, convenience stores, small food stores …
Methods
We analyzed data from the 2011 Los Angeles County Health Survey. We created buffers (from 0.25 to 3.0 miles in radius) centered in respondents’ residential addresses and counted the number of food outlets by type in each buffer. Dependent variables were weekly intake of fruits and vegetables, sugar-sweetened beverages, and fast food; BMI; and being overweight (BMI≥ 25.0 kg/m 2) or obese (BMI≥ 30.0 kg/m 2). Explanatory variables were the number of outlets classified as fast-food outlets, convenience stores, small food stores, grocery stores, and supermarkets. Regressions were estimated for all sets of explanatory variables and buffer size combinations (150 total effects).
Results
Only 2 of 150 effects were significant after being adjusted for multiple comparisons. The number of fast-food restaurants in nonwalkable areas (in a 3.0-mile radius) was positively associated with fast-food consumption, and the number of convenience stores in a walkable distance (in a 0.25-mile radius) was negatively associated with obesity.
Discussion
Little evidence was found for associations between proximity of respondents’ homes to food outlets and dietary intake or BMI among adults in Los Angeles County. A possible explanation for the null finding is that shopping patterns are weakly related to neighborhoods in Los Angeles County because of motorized transportation.
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