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. Author manuscript; available in PMC: 2016 Jan 31.
Published in final edited form as: Addiction. 2014 Nov 20;110(2):346–355. doi: 10.1111/add.12778

Table 3.

Correlates of using varenicline versus using bupropion/using any stop-smoking medications (SSM)/using no SSM among smokers attempting to quit.

Distribution among
all quit attempters
Model A—among Rx SSM users
Model B—among SSM users
Model G—varenicline versus no SSM use
n= 274 (82% used varenicline) n = 481 (39% used varenicline) n = 779 (28% used varenicline)

Correlates % n % varenicline OR P n % varenicline OR P n %varenicline OR P
Sex
    Female 59 163 85 Referent 297 40 Referent 450 30 Referent
    Male 41 111 78 0.51 0.047 184 38 0.84 0.369 329 25 0.80 0.189
Age group (years)
    18–24 4 3 75 Referent 10 19 Referent 35 8 Referent
    25–39 16 48 77 1.43 0.805 70 44 3.03 0.179 124 26 5.61 0.025
    40–54 41 112 82 1.64 0.731 214 36 2.02 0.386 314 28 5.01 0.032
    55+ 39 111 84 2.96 0.454 187 42 3.34 0.138 306 30 5.46 0.024
Race/ethnicity
    Other 17 25 80 Referent 50 32 Referent 131 15 Referent
    Non-Hispanic white 83 249 82 1.22 0.683 431 40 1.59 0.140 648 30 2.33 0.002
Education
    Low 33 88 82 Referent 185 35 Referent 325 22 Referent
    Moderate 36 123 80 0.89 0.747 204 39 1.19 0.407 286 32 1.76 0.002
    High 30 64 87 1.59 0.312 95 46 1.59 0.076 171 31 1.50 0.071
Income
    Low 42 70 75 Referent 153 29 Referent 245 21 Referent
    Moderate 36 98 84 1.93 0.082 166 42 1.57 0.040 260 31 1.54 0.034
    High 22 80 87 2.67 0.025 130 46 2.01 0.006 218 31 1.85 0.005
HSIa
    0–1 27 51 78 Referent 100 35 Referent 226 16 Referent
    2–3 47 138 80 1.22 0.616 256 37 1.09 0.729 393 28 1.67 0.015
    4–6 25 102 87 2.36 0.054 167 44 1.66 0.050 226 39 2.40 0.001
Ever used any SSMb
    No 43 64 81 Referent 119 39 Referent 344 13 Referent
    Yes 57 221 82 0.97 0.943 382 39 1.07 0.755 452 38 3.29 <0.001

Analyses included data from waves 6℃8 and were adjusted for sex, age group, race/ethnicity, education, income, heavy smoking index (HSI) and survey wave; generalized estimating equation (GEE) modelling was used to account for repeated observations of the same respondents over time; ns indicate number of unique individuals within cells; percentages consider multiple observations per individual.

a

Assessed at wave preceding evaluation of medication use;

b

Assessed prior to evaluation of medication use by combining life-time use with annual use. OR = odds ratio.