The fastest repetition in a set predicts the number of repetitions completed to failure during resistance training: The impact of individual characteristics.

Jukic, Ivan; Helms, Eric R; McGuigan, Michael R

Jukic, Ivan; Helms, Eric R; McGuigan, Michael R.

Afiliación

Jukic I; Sport Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand; School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand. Electronic address: ivan.jukic@aut.ac.nz.
Helms ER; Sport Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand; Department of Exercise Science and Health Promotion, Muscle Physiology Laboratory, Florida Atlantic University, Boca Raton, FL, United States.
McGuigan MR; Sport Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand.

Physiol Behav ; 265: 114158, 2023 06 01.

Article en En | MEDLINE | ID: mdl-36925096

Asunto(s)

Músculo Esquelético; Entrenamiento de Fuerza; Masculino; Femenino; Humanos; Fuerza Muscular; Levantamiento de Peso; Postura; Resistencia a la Enfermedad

Palabras clave

Exercise monitoring; Exercise prescription; Fatigue; Velocity-based training

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Músculo Esquelético / Entrenamiento de Fuerza Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Revista: Physiol Behav Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

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