Table 1.

Logistic regression models predicting 12-month smoking cessation outcome by log-in trajectory group, adjusted for Akaike Information Criterion model–selected covariates^a.

Treatment arm and covariate			Odds ratio (95% CI)		P value
iCanQuit
	4-week users	1.50 (1.05-2.14)		.03
	26-week users	4.97 (3.31-7.52)		<.001
	Gender (male)	1.87 (1.33-2.62)		<.001
	High school or lower education	1.42 (1.03-1.95)		.03
	Depression screen positive	0.69 (0.50-0.97)		.03
	Panic disorder screen positive	0.74 (0.50-1.09)		.14
	Used e-cigarettes at least once in past month	0.66 (0.45-0.96)		.03
	Confidence in being smoke free	1.01 (1.01-1.02)		<.001
	Drinks per day on a typical drinking day	0.95 (0.91-1.00)		.048
QuitGuide
	3-week users	1.16 (0.84-1.62)		.37
	Used e-cigarettes at least once in past month	1.44 (0.99-2.08)		.05
	Confidence in being smoke free	1.01 (1.00-1.02)		.005
	Close friends who smoke	0.89 (0.81-0.97)		.01
	Heavy drinkerb	0.64 (0.37-1.07)		.10
	Valuing questionnaire—progress	1.03 (1.01-1.06)		.01

^aThe reference group is 1-week users for both arms.

^bHeavy drinkers are defined as women who had 4 or more drinks and men who had 5 or more drinks on a typical drinking day.