2.9. Statistical analysis
REGRESSION
Baseline data were reported as the mean [standard deviation (SD)] for continuous variables since all of them followed a normal distribution. Categorical variables were reported as percentages (The data were analyzed on an intention-to-treat basis. The intervention effect was verified using a mixed factorial ANOVA model in which the intervention time (pre and post) was the within-subjects factor, and the intervention group (control and intervention) was the between-subjects factor. For statistically significant interactions, the differences between the groups at an intervention time were verified by means of contrasts using Fisher's least significant difference (LSD) adjustment. Normality was assessed using the Shapiro–Wilk test on the residuals together with visual verifications of the boxplot and Q–Q plot.To study the possible confounding effect of demographic variables on the results, the mixed factorial ANOVA model was repeated, including these data as covariables.Poisson regression was used to test the effect of the intervention on the low/high risk of Weekly DDQ adjusting for baseline characteristics and unadjusted. The variable number of weekly drinks assessed using the DDQ instrument was categorized into a nominal qualitative variable (high-risk and low-risk consumption) following the indications of the NIAAA that considers low-risk consumption for women no more than seven drinks per week and for men no more than 14 (All the analyses were carried out in Stata version 16. For all tests, results for which 