TABLE 3—

Multivariable Logistic Regression Baseline Predictors of Decreasing Monthly Cigarette Consumption at 12-Month Follow-Up as a Function of E-Cigarette Use: California Smokers Cohort, 2011–2012

Variable	No. (%)	AOR (95% CI)
E-cigarette use
Have used	173 (55.5)	0.51* (0.30, 0.87)
Will never use	139 (44.5)	1.00 (Ref)
Age, y
18–44	104 (33.3)	2.13* (1.21, 3.75)
45–59	208 (66.7)	1.00 (Ref)
Gender
Male	168 (53.9)	1.17 (0.70, 1.94)
Female	144 (46.2)	1.00 (Ref)
Education, y
≤ 12	113 (36.2)	0.86 (0.51, 1.46)
> 12	199 (63.8)	1.00 (Ref)
Ethnicity
Non-Hispanic White	226 (72.4)	0.67 (0.38, 1.16)
All others	86 (27.6)	1.00 (Ref)
Smoking status
Daily smoker	264 (84.6)	2.60* (1.18, 5.75)
Nondaily smoker	48 (15.4)	1.00 (Ref)
Time to first cigarette in the morning
≤ 30 min	185 (59.9)	0.74 (0.43, 1.28)
> 30 min	124 (40.1)	1.00 (Ref)
Intend to quit smoking in next 6 mo
Yes	126 (41.9)	1.95* (1.15, 3.28)
No	175 (58.1)	1.00 (Ref)

Note. AOR = adjusted odds ratio; CI = confidence interval. The sample size was n = 312. Modeled odds ratio simultaneously adjusts for addiction (time to first cigarette in the morning), age, gender, education, ethnicity, desire to quit smoking, and smoking status. “Have used” and “will never use” include only those respondents with consistent responses at baseline and follow-up.

*P < .05.