TABLE 2—

Multivariable Logistic Regression Baseline Predictors of Making a Quit Attempt 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	177 (55.7)	1.15 (0.67, 1.97)
Will never use	141 (44.3)	1.00 (Ref)
Age, y
18–44	107 (33.6)	2.13* (1.20, 3.79)
45–59	211 (66.4)	1.00 (Ref)
Gender
Male	171 (53.8)	0.91 (0.67, 1.24)
Female	147 (46.2)	1.00 (Ref)
Education, y
≤ 12	115 (36.2)	0.76 (0.45, 1.29)
> 12	203 (63.8)	1.00 (Ref)
Ethnicity
Non-Hispanic White	231 (72.6)	0.74 (0.42, 1.33)
All others	87 (23.4)	1.00 (Ref)
Smoking status
Daily smoker	269 (84.6)	0.79 (0.37, 1.72)
Nondaily smoker	49 (15.4)	1.00 (Ref)
Time to first cigarette in the morning
≤ 30 min	189 (60.0)	0.51* (0.29, 0.89)
> 30 min	126 (40.0)	1.00 (Ref)
Intend to quit smoking in next 6 mo
Yes	128 (41.8)	4.66* (2.74, 7.94)
No	178 (58.2)	1.00 (Ref)

Note. AOR = adjusted odds ratio; CI = confidence interval. The sample size was n = 318. 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.