Relative Acceleration and Maximum Velocity in Rugby Players According to Age Category and Playing Position

Author:

Zabaloy Santiago12ORCID,Freitas Tomás T.345,Alcaraz Pedro E.3,Gálvez-González Javier6,Pereira Lucas A.47,Comyns Tom8,Loturco Irineu479,Healy Robin10

Affiliation:

1. Faculty of Physical Activity and Sports, University of Flores, Buenos Aires, Argentina;

2. Carnegie School of Sports, Leeds Beckett University, Leeds, United Kingdom;

3. UCAM Research Center for High Performance Sport, UCAM Universidad Católica de Murcia, Murcia, Spain;

4. Nucleus of High Performance in Sport (NAR), São Paulo, Brazil;

5. Facultad de Deporte, UCAM Universidad Católica de Murcia, Murcia, Spain;

6. Faculty of Sports Sciences, Pablo de Olavide University, Seville, Spain;

7. Department of Human Movement Sciences, Federal University of Sao Paulo, Sao Paulo, Brazil;

8. Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland;

9. University of South Wales, Pontypridd, Wales, United Kingdom; and

10. Department of Sport and Health Sciences, Athlone Institute of Technology, Ireland

Abstract

Abstract Zabaloy, S, Freitas, TT, Alcaraz, PE, Gálvez-González, J, Pereira, LA, Comyns, T, Loturco, I, and Healy, R. Relative acceleration and maximum velocity in rugby players according to age category and playing position. J Strength Cond Res XX(X): 000–000, 2024—This study aimed to: (a) assess the intrasession reliability of the acceleration time constant (i.e., τ) and τ-derived measures; (b) analyze the influence of τ and maximum velocity (Vmax) on 40-m sprint performance and to compare various sprint-related outcomes among rugby players from different playing positions and age categories; and (c) explore the associations between τ and several sprint performance metrics. A total of 300 male rugby players volunteered to participate in this study and were divided into age categories (i.e., under-14 [U14]: n = 91, age: 12.6 ± 0.5 years; under-16 [U16]: n = 85, age: 14.8 ± 0.5 years; under-18 [U18]: n = 75, age: 16.6 ± 0.5 years; and Seniors: n = 49, age: 24.2 ± 4.1 years). The results demonstrated good to excellent reliability for all measured parameters (intraclass correlation coefficient >0.75 and coefficient of variation <9.0%). Younger players (i.e., U14 and U16) displayed lower τ values (effect size: moderate to large; p < 0.02) compared with their older peers (i.e., U18 and Seniors), regardless of their playing position. Moreover, τ was associated with sprint performance metrics at varying levels of correlations (Rho: small to almost perfect; p < 0.001). In conclusion, younger players exhibited lower τ values than their older counterparts, irrespective of their playing positions. The model employed in this study demonstrated its accuracy in assessing several key sprint performance metrics, offering insights that can enhance sprint training programs for rugby players, which can be based on the associations observed among these different variables.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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