Statistical analysis
A general linear two-way mixed analysis of variance (ANOVA) with repeated measures (group [3] × time [6]) was conducted for each dependent variable using SPSS (SPSS version 24.0, Chicago, IL, USA). Multiple comparisons with Bonferroni correction and Tukey’s post hoc test were conducted whenever main effects for time and group revealed significance. In case of a significant group × time interaction, simple main effects were interpreted separately by using repeated measures ANOVA (time) and one-way ANOVA (group). ANCOVA was used if baseline data differed significantly between groups. Preceding ANOVA, all data were checked for outliers and normal distribution using studentized residuals and Shapiro Wilk’s test of normality. Furthermore, Mauchly’s test of sphericity was carried out to confirm homogeneity of variance. If sphericity was not given, the Greenhouse–Geisser correction was interpreted. Once the Box’s test exposed statistical significance, the group × time interaction was not interpreted; instead, simple main effects were run as described. A separate one-way ANOVA with post hoc comparisons (Tukey) was used to investigate group differences of performed workload of the damage protocol. When the assumption of normality was violated, Friedman test was used to test for intra-group differences between measures; the Kruskal–Wallis test was used to assess group differences. All tests were based on a 5% level of significance. All data are presented in means ± SD for parametric tests, and as median (IQR) for non-parametric tests, respectively.