Statistical analysis
SECONDARY
We undertook descriptive analyses on demographic variables (sex, age, educational level, living situation and work situation) using mean value and standard deviation (SD) and confidence intervals (CI) for continuous variables and frequencies and percentages for categorical variables. We analyzed between-group differences at three, six- and 12-month follow-up for primary and secondary outcomes using linear mixed models with random intercept. The intervention effect was estimated as the interaction effect between group and categorical time, using data in long format with up to four measurements per individual. By omitting the main effect of group from the model, we achieved an adjustment for baseline differences in the outcome [