Methods
REGRESSION
Data from 853 employees (control: n = 586; intervention: n = 267) were gathered through a cluster-randomized study. To analyze changes in the odds of hazardous alcohol use among employees, multilevel logistic regression was applied using group (control vs. intervention), time (baseline vs. 12-month follow-up), and the multiplicative interaction term (group × time) as the main predictors. The intervention effect was further adjusted for sociodemographic characteristics and policy awareness.