Table 1.
Past-year use (Wave 1) | Alcohol Use Only (n= 351) |
Alcohol and Tobacco Use (n= 402) |
Alcohol, Tobacco and Cannabis Use (n= 171) |
Alcohol, Tobacco Cannabis, Cocaine and other Illicit Drug Use illicit drug(s) (n= 248) |
||||
---|---|---|---|---|---|---|---|---|
% | 95% CI | % | 95% CI | % | 95% CI | % | 95% CI | |
Weighted Percentages | 27.5 | [24.2, 31.1] | 32.4 | [28.8, 36.2] | 14.8 | [12.6, 17.4] | 25.3 | [21.7, 29.2] |
Tobacco use | 0 | [0, 0] | 100 | [100.0, 100.0] | 76.8 | [68.8, 83.3] | 76.8 | [69.1, 83.0] |
Cannabis use | 0 | [0, 0] | 0 | [0, 0] | 100 | [100, 100] | 73.6 | [66.9, 79.4] |
Cocaine use | 0 | [0, 0] | 1.8 | [0.8, 4.3] | 8.3 | [4.5, 14.9] | 26.9 | [20.4, 34.5] |
Other illicit drug use | 0 | [0, 0] | 0 | [0, 0] | 0 | [0] | 100 | [100, 100] |
Note: The four patterns of polysubstance use are identified by latent class analysis of four binary indicators for the past-year use of tobacco, cannabis, cocaine, and other illicit drugs, by allocating persons to their modal class (i.e., the class in which a person has the highest posterior probability), where pattern 1 is a known class (i.e., class membership is assumed, a priori, for persons who had no use of substances other than alcohol).