Author
Listed:
- 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
Institute of Nutrition and Food Technology, Biomedical Research Centre, Health Sciences Technological Park, University of Granada, 18010 Granada, Spain)
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.
Suggested Citation
Francisco J. Barrera-Domínguez & Bartolomé J. Almagro & Inmaculada Tornero-Quiñones & Jesús Sáez-Padilla & Ángela Sierra-Robles & Jorge Molina-López, 2020.
"Decisive Factors for a Greater Performance in the Change of Direction and Its Angulation in Male Basketball Players,"
IJERPH, MDPI, vol. 17(18), pages 1-18, September.
Handle:
RePEc:gam:jijerp:v:17:y:2020:i:18:p:6598-:d:411767
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