Data will be presented as mean ± standard error of the mean or median and interquartile ranges depending on the nature of the variable. The Chi-square test (χ2) will be used to assess the difference in sex distribution and etiology between groups. To evaluate the homogeneity of the sample we will use the Lèvene test. And, we will use the Kolmogorov-Smirnov test to evaluate the normality of distribution of each variable studied. According to the homogeneity and normality of distribution (Gaussian) of the studied variable will be used the appropriate statistical test (parametric or non-parametric) for each variable. In the homogeneous and Gaussian variables during rest, the analysis of variance (ANOVA) of a factor will be used to test the differences between the groups. In cases of significant F, the Scheffé post-hoc test will be performed for multiple comparisons. In non-homogeneous and / or non-Gaussian variables during rest, the Kruskal-Wallis test will be used, followed by the Dunn's test between the groups. On the other hand, in the homogeneous and Gaussian variables analyzed during the physiological maneuvers, the analysis of variance (ANOVA) of two factors will be used to test the differences between groups. In cases of significant F, the Scheffé post-hoc test will be performed for multiple comparisons. However, in non-homogeneous and / or non-Gaussian variables analyzed during physiological maneuvers, the Wilcoxon (paired data) and Mann-Whitney (unpaired data) tests, when appropriate, will be used. Will be considered as statistically significant to differences with P values <0.05.