Table 2.

Main Effects: Adjusted regression coefficients^*. Examining the association between neighborhood environment variables (dichotomized at median) and adolescent BMI, fruit and vegetable intake and fast food consumption

Neighborhood Environment	Observed BMI z-score
	Adolescent Boys n = 1246			Adolescent Girls n = 1436
	Beta Estimate	SE	p-value	Beta Estimate	SE	p-value
High^a Density of Fast Food	0.11	0.07	0.084	0.03	0.05	0.543
Fast Food within 1200m	0.10	0.08	0.224	0.04	0.06	0.460
Convenience Store within 1200m	0.19	0.10	0.064	0.22	0.08	0.005
Nearby^a Supermarket	−0.08	0.07	0.210	0.01	0.05	0.920
Neighborhood risk summary score^b	0.09	0.03	0.007	0.04	0.03	0.120
	Daily Servings of Fruits and Vegetables (without potatoes)
	Adolescent Boys n = 1123			Adolescent Girls n =1321
	Beta Estimate	SE	p-value	Beta Estimate	SE	p-value
High^a Density of Fast Food	0.13	0.13	0.326	−0.21	0.12	0.077
Fast Food within 1200m	0.25	0.16	0.104	−0.04	0.14	0.778
Convenience Store within 1200m	0.46	0.20	0.021	0.23	0.18	0.208
Nearby^a Supermarket	0.14	0.13	0.26	0.20	0.12	0.090
Neighborhood risk summary score^b	0.09	0.06	0.167	−0.09	0.06	0.130
	Fast Food Consumption (times per week)
	Adolescent Boys n =1263			Adolescent Girls n =1452
	Beta Estimate	SE	p-value	Beta Estimate	SE	p-value
High^a Density of Fast Food	0.08	0.23	0.718	−0.28	0.22	0.188
Fast Food within 1200m	0.65	0.27	0.017	−0.09	0.25	0.738
Convenience Store within 1200m	0.10	0.36	0.788	−0.15	0.33	0.659
Nearby^a Supermarket	0.06	0.23	0.792	−0.23	0.22	0.281
Neighborhood risk summary score^b	0.13	0.11	0.240	−0.05	0.11	0.674

Adjusted for age, SES and Race/Ethnicity

High indicates density of fast food is greater than median across sample, Nearby indicates distance to nearest supermarket is less than median across sample.

Neighborhood summary score = High density of fast food + Fast Food within 1200m + Convenience Store within 1200m + No nearby Supermarket. A higher score indicates less supportive neighborhood environments. Total score is standardized.