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. 2009 Aug 11;18(1):59–68. doi: 10.1007/s10389-009-0277-2

Table 3.

Bivariate logistic regression models for smoking rates at 12 weeks*

Variable Odds ratio (smoking) 95% confidence intervals for the odds ratio p-value
Age† 0.976 0.967 to 0.986 <0.0001
Age started smoking† 0.976 0.960 to 0.993 0.0070
Marital status <0.0001
 Not married 1.000
 Married 0.623 0.494 to 0.784
Fagerström score† 1.197 1.134 to 1.263 <0.0001
Prior quit attempt 0.0011
 No 1.000
 Yes 1.853 1.279 to 2.684
Quit before for at least 1 day 0.0083
 No 1.000
 Yes 0.601 0.412 to 0.877
40 or more cigarettes per day at study entry 0.0396
 No 1.000
 Yes 1.498 1.019 to 2.202
Major depression 0.0408
 No 1.000
 Yes 1.357 1.013 to 1.819
Treatment <0.0001
 Nicotine inhaler 1.000
 Bupropion 0.489 0.361 to 0.661
 Combination treatment 0.323 0.241 to 0.433
Gender 0.0681
 Female 1.000
 Male 0.812 0.649 to 1.016
Education beyond high school 0.8938
 No 1.000
 Yes 0.984 0.771 to 1.255
BMI† 0.990 0.973 to 1.008 0.2858
Tried prior nicotine 0.8026
 No 1.000
 Yes 0.972 0.778 to 1.214
Number of years smoked 0.4885
 Less than 5 Years 1.047 0.600 to 1.827
 At least 5 years but less than 10 years 1.000
 10 years or more 0.825 0.581 to 1.172
Race 0.0072
 White 1.000
 Minority 1.781 1.169 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