The primary analysis for the primary outcomes will be performed using the SAS procedure PROC MIXED (dif (intervention-control)).The difference in the PSQI scores and suPAR levels between the intervention period and the control period will be analysed using mixed models, with treatment (intervention and control) and period (period 1 and period 2) as fixed effects and the participant identification as random effect. Secondly, the models will be adjusted for baseline PSQI scores and suPAR levels, respectively. The primary analysis will follow the intention-to-treat principle using multiple imputations in case of missing outcome measures. For the secondary outcomes, similar analyses will be performed. All models will be investigated for goodness-of-fit (linearity, variance homogeneity and normal distribution of residuals) by visual inspection of plots and remodelling will be performed accordingly. All statistical tests will be performed using SAS (SAS Institute Inc., Cary, NC, USA) and p values ≤0.05 will be considered statistically significant.