Table 2.
Multilevel logistic regression for alcohol and cannabis use: results for the full sample
| Beer and wine | Spirits | Cannabis | ||||
|---|---|---|---|---|---|---|
| (n = 1,448) | ||||||
| OR(95% CI) | Sig. | OR(95% CI) | Sig. | OR(95% CI) | Sig. | |
| Control variables | ||||||
| girls | 0.54 (0.36-0.79) | *** | 0.50 (0.32-0.78) | ** | 0.29 (0.17-0.49) | *** |
| migrants | 0.20 (0.13-0.30) | *** | 0.41 (0.25-0.69) | *** | 0.38 (0.19-0.75) | ** |
| age | 1.41 (1.24-1.60) | *** | 1.41 (1.21-1.64) | *** | 1.38 (1.17-1.62) | *** |
| Family SES | ||||||
| parent's work status | ||||||
| two parents working | 1.49 (0.96-2.30) | 1.29 (0.74-2.24) | 0.96 (0.51-1.79) | |||
| one parent working | 0.70 (0.35-1.40) | 1.37 (0.67-2.80) | 1.31 (0.58-2.95) | |||
| parents' educational level | ||||||
| two parents higher education | 2.57 (1.48-4.48) | *** | 2.92 (1.65-5.16) | *** | 1.98 (0.84-4.66) | |
| one parent higher education | 1.64 (0.96-2.79) | 1.33 (0.73-2.42) | 1.58 (0.84-2.97) | |||
| Education type | ||||||
| technical | 1.23 (0.75-2.01) | 1.84 (1.07-3.17) | * | 1.71 (0.84-3.47) | ||
| vocational | 1.75 (1.01-3.01) | * | 3.22 (1.77-5.86) | *** | 4.04 (1.90-8.61) | *** |
* p < 0.05, ** p < 0.01, *** p < 0.001