Table 6.
Effect of the Number of MICUNAY sessions attended on 3-month and 6-month outcomes, among youth randomized to the interventiona.
| Effect per sessionb | |||
|---|---|---|---|
| Continuous outcomes | Coefficient (SE) | p-Value | Effect sizec |
| Intentions to drink any alcohol in next 6 months | −0.18 (0.09) | 0.05 | −0.15 |
| Intentions to use any marijuana in next 6 months | −0.08 (0.13) | 0.54 | −0.07 |
| Intentions to smoke a cigarette in next 6 months | −0.04 (0.12) | 0.77 | −0.04 |
| Alcohol resistance self-efficacy | 0.19 (0.09) | 0.04 | 0.17 |
| How often around teens smoking cigarettes | 0.02 (0.08) | 0.81 | 0.02 |
| How often around teens drinking alcohol | 0.12 (0.09) | 0.21 | 0.13 |
| How often around teens using marijuana | −0.03 (0.12) | 0.84 | −0.03 |
| Intentions to participate in cultural activities in next 6 months | 0.15 (0.07) | 0.04 | 0.16 |
| Multigroup Ethnic Identity Measure (MEIM) | −0.04 (0.13) | 0.75 | −0.04 |
| Spirituality/happiness | 0.11 (0.20) | 0.58 | 0.09 |
| Dichotomous outcomes | Odds ratio (CI) | p-Value | Effect sizec |
| Any consequences from drinking alcohol past 3 months | 0.66 (0.34–1.29) | 0.23 | −0.23 |
| Any consequences from using marijuana past 3 months | 1.10 (0.64–1.90) | 0.72 | 0.05 |
| Used tobacco in the past 3 months | 0.90 (0.49–1.65) | 0.73 | −0.06 |
| Drank alcohol in the past 3 months | 0.72 (0.45–1.14) | 0.16 | −0.18 |
| Had 5 or more drinks in a row in past 3 months | 0.75 (0.38–1.47) | 0.40 | −0.16 |
| Used marijuana in the past 3 months | 0.64 (0.32–1.30) | 0.22 | −0.25 |
All results in table account for missing data using multiple imputation methods.
Follow-up outcomes at 3- and 6-months were analyzed together. Regression models include records for each of the two follow-ups per participant. Models account for clustering of responses within individual and adjust for baseline values of the outcome, race/ethnicity, age, gender, which survey (3-month or 6-month) the response came from, and time elapsed between the end of treatment and the follow-up survey response.
For continuous outcomes, effect size is the coefficient divided by the standard deviation of the outcome for combined follow-up data. For dichotomous outcomes, the effect size is the log of the odds ratio divided by 1.81.