Table 2.

Multivariable mixed-effects logistic regression of ever e-cigarette use after multiple imputation^*

Covariate	AOR*	95% CI for AOR	p-value
Age (years)	0.98	(0.92, 1.04)	0.521
Male vs. Female	1.54	(1.14, 2.08)	0.005
Race & Ethnicity			0.044 (df=4)
White (reference)	-	-	-
Asian/Pacific Islander	1.24	(0.48, 3.21)	0.664
Black	1.54	(0.50, 2.98)	0.200
Hispanic	2.02	(1.03, 3.98)	0.042
Other Race	2.06	(1.12, 3.77)	0.020
Greek vs. Non-Greek	1.64	(1.12, 2.39)	0.011
Off-campus vs. On-campus residence	1.24	(0.88, 1.73)	0.215
Sensation seeking	1.19	(0.93, 1.51)	0.162
Smoker status			<0.001 (df=3)
Never smoked (reference)	-	-	-
Former/experimenter smoker	5.66	(3.37, 9.51)	<0.001
Current nondaily smoker	6.55	(3.81, 11.2)	<0.001
Current daily smoker	5.61	(2.70, 11.6)	<0.001
Lifetime hookah use: Yes vs. No	1.13	(0.79, 1.61)	0.515
Current binge drinking: Yes vs. No	1.38	(0.96, 1.97)	0.079
Current marijuana use: Yes vs. No	0.94	(0.64, 1.37)	0.746
Lifetime other illegal drug use: Yes vs. No	0.83	(0.56, 1.23)	0.352
E-cigarette harm perception			<0.001 (df=3)
As harmful as cigarette (reference)	-	-	-
Less harm than cigarette	1.40	(0.92, 2.13)	0.115
More harmful than cigarette	1.29	(0.55, 3.02)	0.561
Don’t know	0.44	(0.29, 0.69)	<0.001

^*Results after multiple imputation with 20 imputations each with N=4,444;

AOR is adjusted odds ratio; all covariates entered simultaneously in single multivariable model.