Decisive Factors for a Greater Performance in the Change of Direction and Its Angulation in Male Basketball Players

Francisco J. Barrera-Domínguez, Bartolomé J. Almagro, Inmaculada Tornero-Quiñones, Jesús Sáez-Padilla, Ángela Sierra-Robles and Jorge Molina-López
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Francisco J. Barrera-Domínguez: Faculty of Education, Psychology and Sport Sciences, University of Huelva, Avda. Tres de Marzo, s/n, 21071 Huelva, Spain
Bartolomé J. Almagro: Faculty of Education, Psychology and Sport Sciences, University of Huelva, Avda. Tres de Marzo, s/n, 21071 Huelva, Spain
Inmaculada Tornero-Quiñones: Faculty of Education, Psychology and Sport Sciences, University of Huelva, Avda. Tres de Marzo, s/n, 21071 Huelva, Spain
Jesús Sáez-Padilla: Faculty of Education, Psychology and Sport Sciences, University of Huelva, Avda. Tres de Marzo, s/n, 21071 Huelva, Spain
Ángela Sierra-Robles: Faculty of Education, Psychology and Sport Sciences, University of Huelva, Avda. Tres de Marzo, s/n, 21071 Huelva, Spain
Jorge Molina-López: Faculty of Education, Psychology and Sport Sciences, University of Huelva, Avda. Tres de Marzo, s/n, 21071 Huelva, Spain

IJERPH, 2020, vol. 17, issue 18, 1-18

Abstract: A study was made to initially evaluate whether the age category directly could influence anthropometric measurements, functional movement tests, linear sprint (30 m) and strength. Moreover, and as the main purpose, this study aimed to examine the relationship between the time execution and angles in different changes of direction (COD) test with the analyzed sport performance variables. A total sample of 23 basketball players (age: 17.5 ± 2.42 years; height: 184.6 ± 6.68 cm; body weight: 78.09 ± 11.9 kg). Between-groups’ comparison explored the differences between basketball categories (Junior, n = 12; Senior, n = 11). The COD variables were divided by the time execution into low responders (LR) and high responders (HR) to establish comparisons between groups related to COD time execution. Pearson’s correlation coefficient was used to establish correlations between different CODs and sport performance variables. The results showed a greater influence of age category upon COD performance, especially when the cutting angle was sharper (7.05% [Confidence limits (CL) 90%: 2.33; 11.99]; Quantitative chances (QC) 0/2/98), in which athletes need greater application of strength. Moreover, the sharper the angle or the larger the number of cuts made, the greater the relationship with the vertical force–velocity profile (−42.39 [CL 90%: −57.37; −22.16]; QC 100/0/0%). Thus, the usefulness of the f–v profile to implement training programs that optimize the f–v imbalance and the improvement of the COD performance in basketball players is suggested.

Keywords: team sports; category; force–velocity profile; reactive strength index; body composition; functional movement (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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