Table 3.
Using club drugs and alcohol abuse to predict poor adherence (log-binomial analyses, n=401)
Univariate | Adjusted for significant background variableb | ||||
---|---|---|---|---|---|
Row % | PR(95%CI) | P-value | RR(95% CI) | P-value | |
Club drug abuse | |||||
Use of any of the club drugs in the last six months | |||||
No | 27.2 | 1.00 | 1.00 | ||
Yes | 32.4 | 1.19 (0.68, 1.85) | 0.485 | 1.19 (0.68, 1.83) | 0.490 |
Use of methamphetamine in the last six months | |||||
No | 27.0 | 1.00 | 1.00 | ||
Yes | 35.5 | 1.31 (0.74, 2.04) | 0.289 | 1.33 (0.75, 2.06) | 0.256 |
Use of Ma Gu in the last six months | |||||
No | 27.5 | 1.00 | 1.00 | ||
Yes | 37.5 | 1.36 (0.40, 2.66) | 0.503 | 1.26 (0.37, 2.43) | 0.614 |
Use of Triazolam Tablets in the last six months | |||||
No | 27.7 | 1.00 | 1.00 | ||
Yes | 25.0 | 0.90 (0.06, 2.66) | 0.906 | 0.95 (0.06, 2.82) | 0.955 |
Use of ketamine in the last six months | |||||
No | 27.8 | 1.00 | 1.00 | ||
Yes | 20.0 | 0.72 (0.05, 2.30) | 0.715 | 0.57 (0.04, 1.87) | 0.538 |
Use of ecstasy in the last six months | |||||
No | 27.7 | 1.00 | 1.00 | ||
Yes | 25.0 | 0.90 (0.06, 2.66) | 0.906 | 0.78 (0.05, 2.29) | 0.778 |
Alcohol abuse | |||||
Overdrinking | |||||
No | 25.9 | 1.00 | 1.00 | ||
Yes | 34.1 | 1.32 (0.91, 1.83) | 0.118 | 1.34 (0.93, 1.86) | 0.092 |
Drinking frequency | |||||
Never | 28.6 | 1.00 | 1.00 | ||
At least once | 26.7 | 0.93 (0.68, 1.28) | 0.676 | 0.95 (0.69, 1.31) | 0.764 |
Drinks on a typical day when drinking | |||||
1–2 drinks | 23.6 | 1.00 | 1.00 | ||
≥3 drinks | 32.3 | 1.37 (0.83, 2.19) | 0.201 | 1.35 (0.83, 2.16) | 0.214 |
Frequency of having 6 or more drinks on 1 occasion when drinking | |||||
Never | 21.3 | 1.00 | 1.00 | ||
At least once | 38.9 | 1.82 (1.13, 2.89) | 0.011 | 1.87 (1.16, 2.95) | 0.018 |
Log-binomial regression models adjusting for potential confounders (transfer treatment), which predicted poor adherence significantly at end of the study in a multivariate model (stepwise). RR: relative risk; CI: confidence interval.