Statistical analysis
Sample size was estimated a-priori based on the R task of the PPT (primary outcome). It was estimated that, considering a two-tailed alpha error of 5%, a minimum of 15 participants were required in each group to provide 80% power to detect a Cohen’s Data were checked for normality using the Shapiro–Wilk test and described as mean and standard deviation. Univariate Analysis of Variance (ANOVA) or Chi-Square test were used to assess between-group differences for participants’ characteristics at T0, PSQI at T1 and sleep hours per night during the training period. A 3 × 3 General Linear Model with Time as within-subjects variable and Group as between-subjects variable was used to investigate between-group differences over time in terms of functional and kinematic outcomes. In the case of significant interactions or main effects, Bonferroni post-hoc tests were used to investigate between-group differences at each time-point and within-group differences among the three time-points. The effect size between the three groups was computed for the primary outcome and expressed as mean difference (MD) with 95% confidence interval (CI