Table 3.

Cross-sectional association of behavioral and contextual variables with BMI percentile in the United States, by gender, Youth Risk Behavior Survey, 2001–2007

	Girls		Boys
	β	95% CI	β	95% CI
Behaviorala
TV viewing	0.81	0.63, 0.99	0.69	0.38, 1.01
Sports participation	−3.12	−3.96, −2.27	1.46	0.71, 2.21
PE attendance	−0.57	−1.65, 0.49	0.85	0.12, 1.57
Fruit and vegetables	1.00	−0.04, 2.03	0.91	−0.61, 2.42
Milk	−0.30	−2.17, 1.56	2.75	1.44, 4.06
100% fruit juice	−0.41	−0.69, −0.14	0.17	−0.27, 0.62
Demographic
Age (years)	−1.71	−1.91, −1.51	−1.47	−1.93, −1.02
Race/ethnicity (%)
Non-Hispanic White	–	–	–	–
Non-Hispanic Black	9.65	8.86, 10.44	2.94	1.42, 4.46
Hispanic	6.74	4.72, 8.76	4.28	2.99, 5.57
Non-Hispanic other	−0.56	−3.28, 2.17	−2.38	−4.36, −0.39
Contextual
Poverty status (%)	0.05	−0.39, 0.48	0.37	0.03, 0.71
Income inequalityb	0.50	0.01, 0.99	0.17	−0.38, 0.73
Violent crime ratec	−0.61	−1.28, 0.06	−0.16	−0.84, 0.51
Cigarette taxes (cents)	0.00	−0.02, 0.02	−0.01	−0.03, 0.01

^aModeled as follows: TV viewing and 100% fruit juice (continuous), sports participation (binary, ≥1 per 12 months), PE attendance (binary, ≥1 day per week), fruits/vegetable consumption (binary, ≥5 per day), and milk consumption (binary, ≥4 glasses per day)

^bMeasured by Gini coefficient, on a 0–100 scale

^cPer 100,000