Research Article
Testing the Constraint Theory of Addiction: Cannabis Constraints Discriminate Users from Nonusers and Heavy from Light Users
Table 3
Final logistic regression models predicting three levels of cannabis use.
| | B | S.E. | Wald | df | Sig. | Exp (B) |
| Users vs. nonusers | | | | | | | Gender | −0.419 | 0.536 | 0.611 | 1 | 0.434 | 0.657 | Tobacco last 12 months | 0.566 | 0.158 | 12.780 | 1 | 0.000 | 1.762 | Alcohol last 12 months | 0.285 | 0.140 | 4.105 | 1 | 0.043 | 1.329 | Addiction concerns | −1.462 | 0.316 | 21.362 | 1 | 0.000 | 0.232 | Use legal highs | 1.129 | 0.302 | 13.945 | 1 | 0.000 | 3.092 | Illegality | −0.741 | 0.296 | 6.261 | 1 | 0.012 | 0.476 | Use when others use | −0.814 | 0.300 | 7.379 | 1 | 0.007 | 0.443 | Constant | 1.186 | 0.836 | 2.011 | 1 | 0.156 | 3.274 |
| Light vs. heavy users | Gender | −0.261 | 0.440 | 0.353 | 1 | 0.553 | 0.770 | Tobacco (last 12 m) | 0.091 | 0.076 | 1.424 | 1 | 0.233 | 1.095 | Addiction concerns | −1.345 | 0.321 | 17.619 | 1 | 0.000 | 0.260 | Know users | 1.427 | 0.265 | 29.004 | 1 | 0.000 | 4.168 | Lack of availability | −1.071 | 0.246 | 18.960 | 1 | 0.000 | 0.343 | Unpleasant effects | −0.756 | 0.266 | 8.063 | 1 | 0.005 | 0.470 | Too expensive | −0.642 | 0.227 | 8.025 | 1 | 0.005 | 0.526 | Use mainly for health reasons | 0.500 | 0.199 | 6.318 | 1 | 0.012 | 1.648 | Ethics and religion | 0.769 | 0.278 | 7.641 | 1 | 0.006 | 2.158 | Constant | −1.366 | 0.684 | 3.993 | 1 | 0.046 | 0.255 |
| Addicted vs. not | Gender | 0.597 | 0.593 | 1.014 | 1 | 0.314 | 1.817 | Tobacco last 12 m | −0.182 | 0.097 | 3.556 | 1 | 0.059 | 0.834 | Addiction concerns | 1.215 | 0.401 | 9.194 | 1 | 0.002 | 3.371 | Do not know users | −1.804 | 0.311 | 33.685 | 1 | 0.000 | 0.165 | Illegality | 1.231 | 0.401 | 9.438 | 1 | 0.002 | 3.423 | Constant | 3.211 | 0.925 | 12.059 | 1 | 0.001 | 24.792 |
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