Table 5:

Multivariable regression analysis on outcomes measures

	Primary Outcome		Secondary Outcomes
	home smoking bana,*		log cotinineb,** ^		parent report quit at 12 monthsa,***
Predictor	Odds Ratio (95% CI)		Geometric Mean Ratio (95% CI)		Odds Ratio (95% CI)
Randomization: Itvn vs Control	1.16 0(.60,2.23)		0.69 (0.41,1.16)		1.70 (0.73,3.95)
Time: 12 mo vs baseline	1.35 (0.65,2.82)		1.63 (1.04,2.54)		0.847 (0.42,1.70)^^
Time* randomization	0.96 (0.33,2.82)		1.55 (0.78,3.09)		1.21 (0.485,3.02)

^aLongitudinal Logistici regression

^bLongitudinal Linear regression

^*additional covariates in model include receiving government assistance for housing, car rules, allowing child to ride in car of smoker, and smoking in home in last 3 months

^**additional covariates in model include: time spent outside home, number of smokers in home, exposed in last 24 hours, receiving government assistance for housing, car rules, allowing child to ride in car of smoker, smoking in home in last 3 months, number of cigarettes smoked per day, home owner, and attached/detached housing

^***additional covariates in model include : car rules and parent education

^{^}Excluding 5 subjects with extreme differences from baseline

^{^^}Reference category is 6 months