Smoking abstinence rates at week 12 were modeled using bivariate logistic models as shown in Table 3. Variables independently associated with lower abstinence rates were: smoking 40 or more cigarettes per day at baseline (OR = 1.498, p = 0.0396), an FTND score (OR = 1.197, p < 0.0001), major depression (OR = 1.357, p = 0.0408), ever attempted to stop smoking before this study (OR = 1.853, p = 0.0011), and being a minority race (OR = 1.781, p = 0.0072). Variables associated with higher abstinence rates were treatment (bupropion OR = 0.489, combination OR = 0.323, p < 0.0001), age (OR = 0.976, p < 0.0001), age started smoking (OR = 0.976, p = 0.0070), being married (OR = 0.623, p < 0.0001), and having quit smoking before this study for at least 1 day (OR = 0.601, p = 0.0083). Table 3Bivariate logistic regression models for smoking rates at 12 weeks*VariableOdds ratio (smoking)95% confidence intervals for the odds ratiop-valueAge†0.9760.967 to 0.986<0.0001Age started smoking†0.9760.960 to 0.9930.0070Marital status<0.0001 Not married1.000 Married0.6230.494 to 0.784Fagerström score†1.1971.134 to 1.263<0.0001Prior quit attempt0.0011 No1.000
