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Table 2 Simple regression analysis predicting short term abstinence from smoking characteristics and demographic data*

From: Do implementation issues influence the effectiveness of medications? The case of nicotine replacement therapy and bupropion in UK Stop Smoking Services

  Odds Ratio P value
Gender (female/male) 1.18 .044
Age 1.02 <.001
Marital status (single, divorced or separated/married or with partner) 1.43 <.001
FTND .93 <.001
Other smokers in household (no/yes) .96 .78
Past serious quit attempt (no/yes) 1.22 .06
Employment (not in full time/in full time) 1.12 .19
Education (no qualifications/GCSE or above) 1.00 .98
Free prescriptions (not eligible/eligible) .86 .06
Stop Smoking Service (1/2) 1.06 .46
Service type (community/clinic) 1.20 .031
Medication choice (bupropion/NRT) 1.39 .005
  1. * This table reports on a number of separate simple univariate regressions to determine the independent effect of variables upon short term abstinence.