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Mechanical Determinants of Sprinting and Change of Direction in Elite Female Field Hockey Players.
Bustamante-Garrido, Alejandro; Izquierdo, Mikel; Miarka, Bianca; Cuartero-Navarrete, Ariel; Pérez-Contreras, Jorge; Aedo-Muñoz, Esteban; Cerda-Kohler, Hugo.
Afiliação
  • Bustamante-Garrido A; Escuela de Ciencias del Deporte y la Actividad Física, Facultad de Salud, Universidad Santo Tomás, Santiago 8370003, Chile.
  • Izquierdo M; Navarrabiomed, Hospitalario Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, 31008 Pamplona, Spain.
  • Miarka B; Departamento de Educación Física, Deportes y Recreación, Facultad de Artes y Educación Física, Universidad Metropolitana de Ciencias de la Educación, Santiago 7760197, Chile.
  • Cuartero-Navarrete A; Laboratorio de Biomecánica Deportiva, Unidad de Ciencias Aplicadas al Deporte, Instituto Nacional de Deportes, Ministerio del Deporte de Chile, Santiago 7750000, Chile.
  • Pérez-Contreras J; Navarrabiomed, Hospitalario Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, 31008 Pamplona, Spain.
  • Aedo-Muñoz E; Laboratory of Psychophysiology and Performance in Sports and Combats, Postgraduate Program in Physical Education, School of Physical Education and Sport, Federal University of Rio de Janeiro, Rio de Janeiro 21941-599, Brazil.
  • Cerda-Kohler H; Federación Chilena de Hockey Sobre Césped, Santiago 7750000, Chile.
Sensors (Basel) ; 23(18)2023 Sep 05.
Article em En | MEDLINE | ID: mdl-37765720
ABSTRACT
Profile determination in field hockey is critical to determining athletes' physical strengths and weaknesses, and is key in planning, programming, and monitoring training. This study pursued two primary

objectives:

(i) to provide descriptive data on sprinting, deceleration, and change of direction (COD) abilities and (ii) to elucidate the mechanical variables that influence sprint and COD performance in elite female field hockey players. Using radar and time-gate technology, we assessed performance and mechanical data from 30 m sprinting, deceleration, and COD tests for 26 elite female hockey players. A machine learning approach identified mechanical variables related to sprint and COD performance. Our findings offer a framework for athlete categorization and the design of performance-enhancing training strategies at the international level. Two pivotal mechanical variables-relative maximum horizontal force (F0) and maximum velocity (Vmax)-predominantly influence the times across all tested distances. However, the force-velocity profile (FVP) and horizontal deceleration do not influence the variance in the COD test outcomes. These insights can guide the design, adjustment, and monitoring of training programs, assisting coaches in decision making to optimize performance and mitigate injury risks for female hockey players.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Hóquei Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Chile

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Hóquei Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Chile