Your browser doesn't support javascript.
loading
Optimal mechanical force-velocity profile for sprint acceleration performance.
Samozino, Pierre; Peyrot, Nicolas; Edouard, Pascal; Nagahara, Ryu; Jimenez-Reyes, Pedro; Vanwanseele, Benedicte; Morin, Jean-Benoit.
Afiliação
  • Samozino P; Univ Savoie Mont Blanc, Interuniversity Laboratory of Human Movement Sciences, EA 7424, F-73000, Chambéry, France.
  • Peyrot N; Le Mans Université, Movement - Interactions - Performance, MIP, EA 4334, F-72000, Le Mans, France.
  • Edouard P; Univ Lyon, UJM-Saint-Etienne, Interuniversity Laboratory of Human Movement Sciences, EA 7424, F-42023, Saint-Etienne, France.
  • Nagahara R; Department of Clinical and Exercise Physiology, Sports Medicine Unit, Faculty of Medicine, University Hospital of Saint-Etienne, Saint-Etienne, France.
  • Jimenez-Reyes P; National Institute of Fitness and Sports in Kanoya, Kanoya, Japan.
  • Vanwanseele B; Centre for Sport Studies, Rey Juan Carlos University, Madrid, Spain.
  • Morin JB; Department of Movement Sciences, KU Leuven, Leuven, Belgium.
Scand J Med Sci Sports ; 32(3): 559-575, 2022 Mar.
Article em En | MEDLINE | ID: mdl-34775654
ABSTRACT
The aim was to determine the respective influences of sprinting maximal power output ( P H max ) and mechanical Force-velocity (F-v) profile (ie, ratio between horizontal force production capacities at low and high velocities) on sprint acceleration performance. A macroscopic biomechanical model using an inverse dynamics approach applied to the athlete's center of mass during running acceleration was developed to express the time to cover a given distance as a mathematical function of P H max and F-v profile. Simulations showed that sprint acceleration performance depends mainly on P H max , but also on the F-v profile, with the existence of an individual optimal F-v profile corresponding, for a given P H max , to the best balance between force production capacities at low and high velocities. This individual optimal profile depends on P H max and sprint distance the lower the sprint distance, the more the optimal F-v profile is oriented to force capabilities and vice versa. When applying this model to the data of 231 athletes from very different sports, differences between optimal and actual F-v profile were observed and depend more on the variability in the optimal F-v profile between sprint distances than on the interindividual variability in F-v profiles. For a given sprint distance, acceleration performance (<30 m) mainly depends on P H max and slightly on the difference between optimal and actual F-v profile, the weight of each variable changing with sprint distance. Sprint acceleration performance is determined by both maximization of the horizontal power output capabilities and the optimization of the mechanical F-v profile of sprint propulsion.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Corrida / Desempenho Atlético Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Corrida / Desempenho Atlético Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article