Table 3.
Logistic Regression Analysis Predicting Completion of a Course of Medication
Predictor | n | Bivariate associations | Overall model (n = 1,106) |
Age | 1,118 | 1.02 (1.01–1.03) | 1.02 (1.00–1.03) |
Gender | |||
Male | 434 | 1.00 | 1.00 |
Female | 684 | 1.24 (0.95–1.61) | 1.16 (0.88–1.53) |
Country | |||
Australia | 319 | 1.00 | 1.00 |
Canada | 263 | 1.70 (1.17–2.48) | 1.41 (0.94–2.10) |
United States | 250 | 2.19 (1.51–3.18) | 1.62 (1.07–2.46) |
United Kingdom | 286 | 2.15 (1.50–3.09) | 1.57 (1.04–2.37) |
Education | |||
Low | 572 | 1.00 | 1.00 |
Medium | 362 | 0.99 (0.74–1.32) | 0.94 (0.69–1.28) |
High | 179 | 1.59 (1.12–2.26) | 1.81 (1.25–2.63) |
Ethnic group | |||
Majority | 1,028 | 1.00 | 1.00 |
Identified minority | 87 | 0.52 (0.30–0.90) | 0.50 (0.28–0.89) |
Nicotine dependence | |||
Low | 200 | 1.00 | 1.00 |
Medium | 580 | 0.84 (0.60–1.17) | 0.78 (0.55–1.12) |
High | 334 | 0.72 (0.49–1.04) | 0.66 (0.44–0.98) |
Type of medication | |||
NRT | 905 | 1.00 | 1.00 |
Prescription only | 213 | 1.69 (1.24–2.30) | 1.09 (0.72–1.65) |
Source of medication | |||
Over-the-counter | 621 | 1.00 | 1.00 |
Prescription | 497 | 2.14 (1.65–2.76) | 1.82 (1.29–2.57) |