Lifetime cocaine consumption prevalence (prevalence = 1.8%) |
PR Crude |
3.294 |
0,7126 |
0.815 |
13.316 |
PR Negative Log-Binomial model |
3.294 |
0.7168 |
0.809 |
13.424 |
PR Robust Negative Log-Binomial model |
3.294 |
0.7126 |
0.815 |
13.316 |
OR Crude – logistic regression binary |
3.337 |
0.717 |
0.819 |
13.600 |
Marijuana consumption prevalence (prevalence = 9.6%) |
PR Crude |
3.493 |
0,2999 |
1.940 |
6.287 |
PR Negative Log-Binomial model |
3.493 |
0.3091 |
1.906 |
6.401 |
PR Robust Negative Log-Binomial model |
3.493 |
0.2999 |
1.940 |
6.287 |
OR Crude – logistic regression binary |
3.771 |
0.309 |
2.057 |
6.913 |
Cigarette consumption prevalence (prevalence = 21.3%) |
PR Crude |
2.593 |
0.1897 |
1.788 |
3.760 |
PR Negative Log-Binomial model |
2.593 |
0.2073 |
1.727 |
3.893 |
PR Robust Negative Log-Binomial Model |
2.593 |
0.1897 |
1.788 |
3.760 |
OR Crude -logistic regression binary |
3.045 |
0.208 |
2.025 |
4.579 |
Lifetime alcohol consumption prevalence,(prevalence = 85.7%) |
PR Crude |
1.255 |
0,0356 |
1.171 |
1.346 |
PR Negative Log-Binomial model |
1.255 |
0.0849 |
1.063 |
1.463 |
PR Robust Negative Log-Binomial model |
1.255 |
0.0356 |
1.171 |
1.346 |
OR Crude – logistic regression binary |
2.940 |
0.121 |
2.319 |
3.729 |
Risk of consumption of psychoactive substances (prevalence = 96.1%) |
PR Crude |
1.086 |
0.0180 |
1.048 |
1.125 |
PR Negative Log-Binomial model |
1.086 |
0.0769 |
0.934 |
1.263 |
PR Robust Negative Log-Binomial model |
1.086 |
0.0180 |
1.048 |
1.125 |
OR Crude – logistic regression binary |
3.560 |
0.180 |
2.501 |
5.068 |