Table 3.

Multilevel linear regression models predicting quantity of cigarettes and alcohol used

	Number of cigarettes in last 30 days, among smokers; N=258				Number of alcoholic drinks in last 30 days, among drinkers; N=562
	Beta	Low CI	High CI	p value	Beta	Low CI	High CI	p value
Neighborhood-level
Median income	−24.95	−63.05	13.16	0.20	3.01	0.64	5.39	0.01
Gini coefficient	−872.50	−2628.64	883.64	0.33	159.46	47.08	271.85	0.01
Individual-level
Household income	69.61	14.02	125.20	0.01	−0.90	−1.53	−0.28	<0.001
Household income2	−4.63	−7.97	−1.29	0.01	-	-	-	-
Age	4.01	0.68	7.35	0.02	0.01	−0.26	0.29	0.92
Male	102.30	20.08	184.52	0.01	6.84	0.44	13.24	0.04
Asian	−98.50	−248.68	51.67	0.20	−1.06	−15.40	13.28	0.88
African-American	−169.06	−278.37	−59.74	<0.001	−3.18	−15.40	9.04	0.61
Hispanic	−122.30	−261.38	16.79	0.08	−3.63	−14.19	6.94	0.50
Other	−287.09	−473.08	−101.10	<0.001	−13.95	−26.78	−1.11	0.03
High school/GED	40.01	−100.73	180.75	0.58	7.43	−7.45	22.30	0.33
Some college	−8.27	−168.84	152.30	0.92	5.47	−4.37	15.31	0.28
College graduate	96.10	−153.65	345.84	0.45	6.62	−4.95	18.18	0.26
Graduate work	6.88	−319.91	333.68	0.97	−0.96	−11.39	9.47	0.86

CI, confidence interval