Statistical Analyses
SENSITIVITY
The allocation ratio between the three trial arms was 1:1:1. The execution of the computer-generated randomization and allocation to intervention is described elsewhere [The outcome analysis was based on the intention-to-treat principles. For strategies of handling missing data, see Supplement 4. To compensate for multiple testing, we performed Bonferroni adjustment of acceptable Type 1 error risk-level and present confidence intervals and p-values accordingly. Therefore, p-values below 0.017 were considered statistically significant, and confidence was reported as 98.3% intervals. Post-hoc, we decided that p-values between 0.017 and the traditional, yet somewhat arbitrary, level of 0.05 would be presented as Sensitivity analyses (best/worst-case scenarios) on self-reported outcomes were conducted by imputing all missing data as the mean of the outcome variable ± 2 SD; sensitivity analyses concerning possible missing register data were performed by imputing all missing data as the best/worst outcome. All analyses were performed using R statistical software.