Table 3.

Multiple Regression Model of Predictors of Smoking Cessation Pharmacotherapy Use, South Carolina 2008

	Pharmacotherapy use: ever vs. never
	Total (n = 697)		Blacks (n = 271)		Caucasian Americans (n = 426)		Interactionap value
	OR	95% CI	OR	95% CI	OR	95% CI
Race (referent: Caucasian American)	0.55	0.37–0.81	–	–	–	–	–
Age (by 10-year blocks)	1.11	0.98–1.26	1.01	0.79–1.28	1.16	0.99–1.34	.42
Gender (referent: female)	1.35	0.93–1.97	0.83	0.43–1.64	1.80	1.11–2.9	.07
Education (ordinal)	1.16	0.98–1.37	1.11	0.80–1.53	1.17	0.96–1.43	.71
Cigarettes per day (by 5 cigarettes/day blocks)	1.06	0.94–1.2	1.04	0.81–1.34	1.08	0.94–1.24	.60
How well do medications work	1.12	0.99–1.3	1.10	0.87–1.4	1.13	0.96–1.3	.97
How concerned are you that these medications are addictive	0.80	0.69–0.90	0.88	0.71–1.08	0.73	0.62–0.87	.16
How much treatment of any kind do you need to quit?	1.52	1.35–1.71	1.49	1.2–1.84	1.58	1.35–1.84	.89
How harmful are smoking cessation medications?	1.03	0.97–1.1	1.03	0.92–1.16	1.02	0.94–1.11	.59

Note. OR = odds ratio.

^aThe interaction between race and each of the remaining eight predictors was assessed in the overall model. To avoid collinearity, eight separate models were run, one for each interaction, but each adjusting for all other predictors.