## 4 Discussion
However, changes in body parameters, however small, are manifested in changes in overall somatotype (Figure 2); this relationship was already corroborated in various sporting and athletic disciplines [64]. The body shape of the group members at the intergroup level at T1 was moderate endomorphism and low mesomorphism and endomorphism (5.09643-2.96096-1.88257), presenting moderate relative adiposity with low relative skeletal muscle development and large volume per unit height. At T2, it was moderate endomorphism and mesomorphism and low endomorphism (5.11809-3.13009-1.88257), showing moderate relative adiposity, moderate relative skeletal muscle development, and large volume per unit height. At the intragroup level, in basketball, moderate endomorphism and mesomorphism and low endomorphism [65] at both T1 (5.29417-3.56092-1.90667) and T2 (5.15625-3.559-1.90667) (Figure 2) were found. This result presented a high correlation with the ability to repeat sprints (r = 0.7860; \(p=0.0024\)) [64]. The volleyball group presented moderate endomorphism and low mesomorphism and ectomorphism at T1 (4.88073-2.30645-1.85627) and at T2 (5.07645-2.66109-1.85627) [66]. In relation to the physical fitness tests, the data observed in Table 3 show that in basketball there was an improvement in T2 in practically all the tests carried out. On the other hand, in volleyball, although there were improvements, these were not significant in percentage terms. This fact can be related to two anthropometric aspects. First, it has been seen how these improvements are produced in tests related to the improvement in strength in the lower body by increasing %FMM [67], and above all, the fact that in the discipline of basketball there is a loss of %AM, since the AM has an independent negative relationship with the performance of jumping tests [68]. This does not occur in volleyball,where, on the contrary, %AM increases between T1 and T2, with no significant percentage improvements in this test. Second, a great improvement was observed in the intermittent endurance test in both disciplines, as a consequence of the improvement in %FMM. In the case of basketball, adding a loss in AM to this makes the improvement in this discipline more than double that of volleyball. These data are reflected in the correlations, equal to or greater than 0.75, that are established for these factors between %AM with jumping factors and with factors of moving one's own body weight in space over a period of time, coupled with an improvement in %FMM. Figure 4: High correlations established between disciplines and physical fitness tests. Continuing with the relationship between body composition data and performance in physical fitness tests in volleyball, the correlation data obtained between the endomorph component and the RSA are results [69] related to the practice and type of training in this sport discipline, such as intervallic training and plyometrics [70]. In this regard, when analyzing covariation relationships, the correlation coefficients found in basketball are high and significant (r = 0.7738; \(p\) = 0.0031) both between RSA and %AM ( ) and between RSA and %FMM ( r = \(-\)0.8051; \(p\) = 0.0016) [71]. This can also be observed in other disciplines [72]. The ability to repeat sprints has also been influenced by the increase in isokinetic strength (muscle power) found in this group of players; as we have said, this fact is positively related to the increase in FMM and the decrease in AM. Likewise, the correlation established between %AM and intermittent endurance running also shows very strong results (r = \(-\)0.8090; \(p\) = 0.0014) [73]. Specifically, the anthropometric characteristic of successful competitors in all events involving running is low body fat content, and the relationship between body fat and running time has already been studied and demonstrated [74].