Lower-Body Power, Body Composition, Speed, and Agility Performance among Youth Soccer Players

Author:

França Cíntia12ORCID,Gouveia Élvio Rúbio1234ORCID,Martins Francisco123ORCID,Ihle Andreas456ORCID,Henriques Ricardo7,Marques Adilson38ORCID,Sarmento Hugo9ORCID,Przednowek Krzysztof10ORCID,Lopes Helder111ORCID

Affiliation:

1. Department of Physical Education and Sport, University of Madeira, 9020-105 Funchal, Portugal

2. LARSYS, Interactive Technologies Institute, 9020-105 Funchal, Portugal

3. CIPER, Faculty of Human Kinetics, University of Lisbon, 1495-751 Lisbon, Portugal

4. Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, 1227 Carouge, Switzerland

5. Department of Psychology, University of Geneva, 1227 Carouge, Switzerland

6. Swiss Center of Expertise in Life Course Research LIVES, 1227 Carouge, Switzerland

7. Marítimo da Madeira–Futebol SAD, 9020-208 Funchal, Portugal

8. ISAMB, Faculty of Medicine, University of Lisbon, 1649-020 Lisbon, Portugal

9. Research Unit for Sport and Physical Activity (CIDAF), Faculty of Sports Sciences and Physical Education, University of Coimbra, 3000-115 Coimbra, Portugal

10. Institute of Physical Culture Sciences, Medical College, University of Rzeszów, 35-959 Rzeszów, Poland

11. Research Center in Sports Sciences, Health Sciences, and Human Development (CIDESD), 5000-801 Vila Real, Portugal

Abstract

Speed and agility have been described as crucial abilities for soccer players. The purpose of this study was to analyze, in detail, the variance in speed and agility tasks explained by lower-body power after controlling for age and body composition. The participants were 96 male soccer players aged 16.1 ± 1.6 years. Body composition (stature, body fat percentage—BF%, body mass, and fat-free mass—FFM), lower-body power (countermovement jump—CMJ, and squat jump—SJ), speed (5-, 10-, and 35 m sprints), and agility (t-test) were assessed. Among body composition parameters, BF% presented the highest number of significant relationships with speed and agility, with the strength of correlations ranging from small (5 m sprint, r = 0.25) to large (35 m sprint, r = 0.52). The strongest correlation coefficient emerged between FFM and the 35 m sprint (r = −0.65). Significant correlations were found between vertical jump performance and the 35 m sprint (CMJ: r = −0.68; SJ: r = −0.69), followed by the t-test (CMJ: r = −0.35; SJ: r = −0.47). The hierarchical multiple regression model could explain 22% to 67% of the variance observed in agility scores and speed. BF% remained the most statistically significant negative predictor of all regression models. The CMJ remained a statistically significant positive predictor of the 35 m sprint (β = −0.581, p ≤ 0.01) after controlling for age and body composition. Integrating programs targeting lower-body power might be important to enhance speed and agility performance in youth soccer. On the other hand, future research based on multidisciplinary approaches to investigate the effects of nutritional strategies in reducing or preventing gains in BF% is still needed, which remained a significant predictor of sprint and agility performance in the final models.

Funder

IT/LARSYS

Publisher

MDPI AG

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