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1RM prediction: a novel methodology based on the force-velocity and load-velocity relationships

Academic Article
Publication Date:
2016
Short description:
1RM prediction: a novel methodology based on the force-velocity and load-velocity relationships / Picerno, P., Iannetta, D., Comotto, S., Donati, M., Pecoraro, F., Zok, M., Tollis, G., Figura, M., Varalda, C., Di Muzio, D., Patrizio, F., Piacentini, M.F.. - In: EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY. - ISSN 1439-6319. - (2016). [10.1007/s00421-016-3457-0]
abstract:
This study aimed to evaluate the accuracy of a novel approach for predicting the one-repetition maximum (1RM). The prediction is based on the force-velocity and load-velocity relationships determined from measured force and velocity data collected during resistance-training exercises with incremental submaximal loads. 1RM was determined as the load corresponding to the intersection of these two curves, where the gravitational force exceeds the force that the subject can exert.
Iris type:
1.1 Articolo in rivista
Keywords:
Force–velocity relationship; Muscle strength assessment; One-repetition maximum; Resistance training
List of contributors:
Picerno, Pietro; Iannetta, Danilo; Comotto, Stefania; Donati, Marco; Pecoraro, Fabrizio; Zok, Mounir; Tollis, Giorgio; Figura, Marco; Varalda, Carlo; Di Muzio, Davide; Patrizio, Federica; Piacentini, Maria Francesca
Authors of the University:
PICERNO Pietro
Handle:
https://iris.uniss.it/handle/11388/333850
Published in:
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
Journal
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