TABLE 2.

Baseline Characteristics Significantly Associated with Tobacco Abstinence at 6-Month Follow-up: Multiple Logistic Regression Analysis^a

	Full Sampleb N = 1,357		Complete Cases only N = 1,021
	Odds Ratio (95% Confidence Interval)	P Value	Odds Ratio (95% Confidence Interval)	P Value
Confidence in quitting (increment of 1 unit)c	1.31 (1.07–1.60)	.009	1.45 (1.10–1.91)	.002
Plan to quit after discharge (vs try to quit)	1.68 (1.19–2.38)	.003	1.76 (1.22–2.54)	.002
Smoking-related discharge diagnosisd	1.98 (1.41–2.77)	<.001	1.90 (1.34–2.70)	<.001
Time to first cigarette after 30 minutes of waking		ns	1.47 (1.01–2.13)	.045

^aAnalysis also adjusted for age, gender, race (self-reported White vs non-White), type of insurance, cigarettes per day (<10 vs > 10), importance of quitting smoking, home policy for handling smoking (no one is allowed to smoke in my home vs all other policies), another smoker living in the home (yes vs no), PHQ-2 (Depression), AUDIT-C, lifetime use of illicit drugs intravenously (yes vs no), illicit drug use in the past year (excluding marijuana use) (yes vs no), illicit opioid use in the past year (yes vs no), length of stay in the hospital, study site and study condition (Intervention vs Control).

^bParticipants with missing outcome data were coded as smokers.

^cConfidence in quitting after discharge was measured using a 5-point Likert scale ranging from “not at all” to “very” confident.

^dThe definition of smoking-related disease used categories from the 2014 U.S. Surgeon General’s Report. Specifically, these include neoplasms (ICD-9 codes: 140-151, 157, 161-162, 180, 188-189, 204-208), cardiovascular disease (ICD-9 codes: 410-414, 390-398, 415-417, 420-429, 430-438, 440-448), and respiratory diseases (ICD-9 codes: 480-492, 496).