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 Yes1.8531.279 to 2.684Quit before for at least 1 day0.0083 No1.000 Yes0.6010.412 to 0.87740 or more cigarettes per day at study entry0.0396 No1.000 Yes1.4981.019 to 2.202Major depression0.0408 No1.000 Yes1.3571.013 to 1.819Treatment<0.0001 Nicotine inhaler1.000 Bupropion0.4890.361 to 0.661 Combination treatment0.3230.241 to 0.433Gender0.0681 Female1.000 Male0.8120.649 to 1.016Education beyond high school0.8938 No1.000 Yes0.9840.771 to 1.255BMI†0.9900.973 to 1.0080.2858Tried prior nicotine0.8026 No1.000 Yes0.9720.778 to 1.214Number of years smoked0.4885 Less than 5 Years1.0470.600 to 1.827 At least 5 years but less than 10 years1.000 10 years or more0.8250.581 to 1.172Race0.0072 White1.000 Minority1.7811.169 to 2.714†Age, age started smoking, BMI, 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
