. Author manuscript; available in PMC: 2014 Dec 1.

Published in final edited form as: Prev Med. 2013 Oct 18;57(6):903–905. doi: 10.1016/j.ypmed.2013.10.003

Table 2.

Associations between fruit and vegetable intake (dependent variable) and cumulative shelf space by car ownership, New Orleans BRFSS, 2008

	Own Car (n=655)			No Car (n=105)

Distance around each household ^a	β ^b	SE	p-value	β ^b	SE	p-value
500 meters	0.004	0.005	0.398	0.014	0.014	0.329
1 kilometer	0.002	0.002	0.271	0.007	0.004	0.070
2 kilometers	0.001	0.001	0.277	0.005	0.002	0.016

SE – Standard Error

Neighborhood fruit and vegetable availability was determined for each household at three different network distances – 500 m, 1km, and 2km. Shelf space of all fruits and vegetables in all stores within a defined distance was summed. Models were run separately for each distance.

Each coefficient is estimated from a separate linear regression model and describes the relationship between fruit and vegetable intake (servings per day) and the total amount of fruit and vegetable shelf space (meters) in the respondent’s neighborhood. Each model adjusted for gender, race, poverty status, age, and education.