Table 1.

Results of logistic regression analyses to predict cigarette smoking characteristics

Dependent variable	Predictora	β	SE	p Value	OR	95% CI
Ever-smoker	Protocol	3.01	0.74	<.001	20.30	4.78–86.16
	ADHD symptom total	0.11	0.05	.026	1.12	1.01–1.24
Nicotine dependence	Protocol	2.06	0.47	<.001	7.88	3.15–19.70
	Race (Caucasian)	1.18	0.42	.005	3.26	1.44–7.40
	Age	0.04	0.02	.033	1.04	1.01–1.09
	Age at onset of AD	−0.06	0.02	.005	0.95	0.91–0.98
	ADHD symptom total	0.11	0.04	.017	1.11	1.02–1.21
Postcessation concentration problems	Protocol	−0.02	0.37	.955	0.98	0.47–2.02
	Age	−0.04	0.02	.044	0.96	0.92–0.99
	Nicotine dependence (lifetime criteria met)	2.58	0.77	.001	13.13	2.92–59.09
	ADHD symptom total	0.08	0.04	.046	1.08	1.01–1.17
Successfully quit (former vs. current smoker)	Protocol	0.74	0.64	.250	2.09	0.60–7.30
	Sex (female)	0.90	0.46	.048	2.47	1.01–6.04
	Age	0.09	0.03	.003	1.09	1.03–1.16
	Income	0.37	0.11	.001	1.44	1.17–1.78
	Nicotine dependence (lifetime criteria met)	−1.96	0.57	.001	0.14	0.05–0.43
	Cigarettes per day	0.05	0.02	.001	1.05	1.02–1.09

Note. OR = odds ratio; AD = alcohol dependence; ADHD = attention-deficit hyperactivity disorder.

^aBased on stepwise selection of predictors, with the exception of protocol variable, which was forced into each model. Predictors included age, sex, race, years of education, income, age at onset of alcohol dependence, lifetime diagnosis of a substance use disorder, lifetime conduct disorder, family history of smoking, and ADHD symptom total. Cigarettes per day and nicotine dependence were included as predictors only in the regression analyses to predict postcessation concentration problems and successful quitting.