p = 0.004); being a minority was associated with continued smoking (OR = 1.849, p = 0.0083). Table 4Multivariate logistic regression model for smoking rates at 12 weeks*Variable†Odds ratio (smoking)95% Confidence intervals for the odds ratiop-valueAge0.9710.960 to 0.982<0.0001Marital status0.0029 Not married1.00 Married0.6780.525 to 0.876 Fagerström score1.2441.172 to 1.320<0.0001Prior quit attempt0.0044 No1.000 Yes1.8121.203 to 2.728Treatment†<0.0001 Nicotine inhaler1.000 Bupropion0.4800.348 to 0.663 Combination treatment0.3280.240 to 0.450Race†0.0083 White1.000 Minority1.8491.171 to 2.919*In order to assess whether differences between race groups was dependent on treatment, an initial model was fit that included all main effect terms along with the race-by-treatment interaction effect. From this analysis the race-by-treatment interaction was not found to be statistically significant (p = 0.8113). Therefore, the findings presented here are from the model that includes only main effect terms†Age and Fagerstrom score were treated as continuous variables. For these variables the odds ratio presented is for a one-unit increase (i.e., per 1-year increase in age). All other characteristics were treated as categorical variables. For these characteristics an odds ratio of 1.000 is used to indicate the reference group. Odds ratios >1.000 indicate an increased likelihood of smoking at 12 weeks
