Table 3.
Multilevel logistic regression for alcohol and cannabis use: results for majority students
| Beer and wine | Spirits | Cannabis | ||||
|---|---|---|---|---|---|---|
| (n = 594) | ||||||
| OR(95% CI) | Sig. | OR(95% CI) | Sig. | OR(95% CI) | Sig. | |
| Control variables | ||||||
| girls | 0.49 (0.30-0.81) | ** | 0.54 (0.27-1.11) | 0.37 (0.16-0.81) | * | |
| age | 1.44 (1.22-1.69) | *** | 1.42 (1.14-1.77) | ** | 1.82 (1.36-2.43) | *** |
| Family SES | ||||||
| parent's work status | ||||||
| two parents working | 1.26 (0.75-2.09) | 0.93 (0.46-1.89) | 0.96 (0.41-2.26) | |||
| one parent working | 0.36 (0.09-1.40) | 0.65 (0.12-3.50) | 0.50 (0.05-4.93) | |||
| parents' educational level | ||||||
| two parents higher education | 2.35 (1.27-4.38) | ** | 2.93 (1.24-6.93) | * | 2.36 (0.86-6.47) | |
| one parent higher education | 1.60 (0.90-2.85) | 1.25 (0.53-2.97) | 1.82 (0.70-4.77) | |||
| Education type | ||||||
| technical | 1.31 (0.68-2.54) | 2.93 (1.31-6.56) | ** | 1.55 (0.58-4.15) | ||
| vocational | 2.13 (1.00-4.53) | 4.63 (1.81-11.86) | ** | 6.44 (2.23-18.55) | *** | |
* p < 0.05, ** p < 0.01, *** p < 0.001