## 4 Discussion
One additional goal of this study was to relate BIA parameters and somatotypes. The relationship between PhA and mesomorphy showed a linear positive trend with age categories. Previous studies have considered only the association between PhA and body composition parameters. However, the muscular-skeletal structure models within adolescents in bone robustness and muscular hypertrophy (cells' cross-sectional area and density [23]. Boys' peak bone mass is expected to occur at 14.1 \(\pm\) 0.95 years [24], fastening through anatomical and mechanical interaction with jointed muscles. Physical efforts and movements lead to this interaction, enhancing somatic and biological growth [25]. Incrementation with age exhibited a strong correlation close to the end of somatic maturation when a great amount of musculoskeletal growth occurred. In agreement with our results, a recent review reported that the PhA was directly associated with lean mass and muscle mass in different age groups [9]. In addition, most studies found a direct relationship between PhA and muscle strength and aerobic fitness [26; 27], important characteristics for athletes, and related to the muscular component. However, there is still a lack of evidence to establish the direction of associations between PhA and other body composition parameters, such as the percentage of body fat [9]. In addition, the relationship between PhA, muscle strength, and aerobic fitness highlights an important gap in determining a cause-effect association between bioelectrical parameters and physiological adaptations. The final purpose of this study was to combine and evaluate the somatotype and bioelectrical features. The dimensionality reduction in the three components of the somatotype in a single PCA plot allowed us to look for the relationship between a synthetic component and the bioelectrical parameters. Despite the less intuitive interpretation, we found that the PhA has a positive correlation with it, which leads us to hypothesize that PhA was negatively affected by body lengths and positively conditioned by musculoskeletal growth. Although the second result has previously been justified, the first could be affected by the decreased accuracy of BIA measurements in athletes with length dimensions [11]. All the somatotype components have been considered to relatively represent some geometrical size of the body, from lipidic to streamlined profiles. The single application of each component appears to be less informative alone and leads investigators to evaluate the whole sphere of the somatotype. The average rate of each component explains useful information, but requires more than ten measurements and four pieces of equipment [15]. In addition, anthropometrical techniques require a high level of experience and precision, and lose their accuracy and reliability with a technical error of measurement (TEM) greater than 5%. Thus, drawbacks lie behind the acquisition and interpretation of the outcomes. A new synthetic method, such as that presented above, may overcome the problem related to evaluations needed for estimating endomorphy (skinfold thicknesses) and mesomorphy (body shapes circumference, diameter, and skinfold thicknesses) given its good (TEM = 1.24%) estimation ability with ectomorphy alone (body mass and stature). In addition, one component could be easier to relate to other variables concerning body composition and physical performance. However, while this study sets an explorative trajectory toward new possibilities in the sphere of field body composition, deeper investigation is needed to validate the elucidated method. The strengths of this study are that the sample comprised selected elite young basketball players, providing a comprehensive description of an elite sample using multiple methods (Anthropometry and BIVA), which can serve as a useful reference for researchers and practitioners. In addition, this study could enhance perspectives in somatic analysis, prompting new ways to easily describe human body features.