Statistical analysis
Data summaries were computed for the whole sample. First, a Shapiro–Wilk normality test was conducted for all of the variables of interest. Second, to check that before the intervention there were no differences between groups in terms of individual factors, pre-intervention variables (see points from 2.5.2 to 2.5.6 in the methods section) were submitted, according to their normality data, to their respective statistical analysis (i.e. ANOVA or Kruskal–Wallis), showing that there were no significant differences between groups. Again, PA habits were not analyzed because they were only used as inclusion criteria. Third, to check that the training program caused benefits in fitness, given that certain variables exhibited a normal distribution while others did not, suggesting the need to employ distinct statistical methods for each variable, and after ensuring that no significant differences were present at the outset, a differential score (Δ; post minus pre score) was computed for both VO2max and strength variables. This score was then subjected to both a paired sample t-test and the Wilcoxon test, based on the normality of their respective datasets. Fourth, as in the previous step, to observe the group effect in the EFs, ΔWM, ΔCF, and ΔIC were submitted to a paired sample t-test and Wilcoxon test. Finally, to establish significant differences in the variation of EFs between groups, ΔWM, ΔCF, and ΔIC were submitted to ANOVA and Kruskal–Wallis tests.The significance level was set at 0.05, and Bonferroni correction for multiple comparisons was used where applicable. The standardized effect size was reported employing the partial ƞp