Table 3.
Association between DUI at baseline and 6-month outcomes
| DUI At Baseline | No DUI At Baseline | DUI effect1 | ||
|---|---|---|---|---|
| Behaviors at 6 month follow-up | Mean (SD) | Mean (SD) | Coefficient (SE) | p-value |
| Past 3 Month Use (# of times) | ||||
| Alcohol | 7.76 (7.52) | 2.39 (4.58) | 1.54 (0.81) | 0.0563 |
| Heavy Alcohol | 5.79 (6.24) | 1.07 (3.13) | 2.63 (0.63) | <.0001 |
| Marijuana | 9.04 (8.57) | 2.62 (5.64) | 0.84 (0.83) | 0.3089 |
| Past Month Alcohol Max (#drinks) | 5.65 (4.32) | 3.03 (2.85) | 0.34 (0.52) | 0.5104 |
| Marijuana (# of times) | 1.68 (1.32) | 0.60 (0.97) | 0.09 (0.13) | 0.5073 |
| Consequences at 6 month follow-up | Mean (SD) | Mean (SD) | Coefficient (SE) | p-value |
| Past 3 Month Consequences (#) | ||||
| Alcohol | 6.73 (13.32) | 1.12 (3.41) | 3.64 (0.84) | <.0001 |
| Marijuana | 3.73 (10.41) | 0.40 (1.65) | 2.46 (0.55) | <.0001 |
1
Coefficients are from linear regressions controlling for the baseline value of the outcome (e.g., if outcome is negative marijuana-related consequences in the past three months at six-month follow-up, we control for negative marijuana-related consequences in the past year as reported at baseline, the CHAT intervention, race/ethnicity, age, gender, mother’s education, and site (Los Angeles vs. Pittsburgh). For the models examining the negative consequences outcomes only, we additionally adjusted for baseline substance use; for example, for alcohol-related consequences at 6 months, the model adjusted for baseline alcohol-related consequences and baseline alcohol use.