Table 2.

Density and proximity as predictors of tobacco use (unadjusted).

	Odds ratio (95% CI)
	Past 30 days		Past 6 months
Predictor	Any tobacco use	Cigarette use	E-cigarette use	Cigar use	Waterpipe use	Smokeless tobacco use
Waterpipe café density per 1000 population (tract level)	1.3 (0.4, 4.2)	0.7 (0.2, 3.0)	2.1 (0.5, 8.2)	3.0 (0.9, 10.1)	1.9 (0.3, 14.1)	0.8 (0.1, 7.4)
Vape shop density per 1000 population (tract level)	0.5 (0.1, 1.6)	0.7 (0.2, 2.7)	0.6 (0.1, 3.0)	0.4 (0.1, 2.0)	0.4 (0.05, 4.0)	1.2 (0.2, 7.0)
Traditional retailer density per 1000 population (tract level)	1.1 (0.9, 1.4)	1.1 (0.8, 1.5)	1.1 (0.8, 1.5)	1.2 (0.9, 1.7)	0.8 (0.5, 1.3)	0.9 (0.6, 1.5)
Proximity to nearest waterpipe café in miles driving	1.0 (0.98, 1.02)	1.0 (0.99, 1.02)	0.98 (0.96, 1.01)	1.00 (0.98, 1.02)	0.9 (0.9, 0.98)	1.0 (0.9, 1.02)
Proximity to nearest vape shop in miles driving	1.0 (0.95, 1.04)	1.0 (0.98, 1.1)	0.9 (0.9, 1.01)	1.0 (0.9, 1.03)	0.9 (0.8, 0.997)	0.9 (0.8, 1.1)
Proximity to nearest traditional retailer in miles driving	0.9 (0.7, 1.1)	1.0 (0.8, 1.3)	0.9 (0.7, 1.2)	0.7 (0.5, 0.9)	0.7 (0.4, 1.04)	0.8 (0.5, 1.3)

Note. Bivariate logistical regression models. An odds ratio <1 means the outcome is associated with a decrease in the number of miles and an increase in proximity.