PREDICTION MODEL OF ONE REPETITION MAXIMUM (1RM) BASED ON ANTHROPOMETRICAL CHARACTERISTICS ON MALE AND FEMALE

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1. Verfasser: Wollner Materko
Format: Artículo científico
Sprache:en
Veröffentlicht: Universidade Iguaçu 2013
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author Wollner Materko
author_facet Wollner Materko
contents PREDICTION MODEL OF ONE REPETITION MAXIMUM (1RM) BASED ON ANTHROPOMETRICAL CHARACTERISTICS ON MALE AND FEMALE Wollner Materko Edil Luis Santos Salud free fat mass anthropometry Strength training resistance training anthropometric evaluation The goal of the present study was to determine a model for predicting one maximum repetition (1RM) based on anthropometrical characteristics for exercises leg abduction (LA) and leg curl (LC) on males and females. Forty-eight volunteers trained in strength training were submitted to an anthropometric evaluation, followed by a 1RM test for exercises LA and LC. After resting for at least 48h, they randomly underwent either a new 1RM. The model's for predicting 1RM strength were obtained by multiple linear regression for LA and LC exercises assuming as independent variables: fat-free mass and gender. The best model’s explained 66% and 78% of the known variance and have a standard error of estimate of 15.5% and 15.4% of the measured 1RM for LA and LC, respectively. The measured 1RM were 54.4 ± 14.3 Kg and 54.0 ± 17.4 Kg and predicted 1RM were 54.4 ± 11.8 Kg and 54.0 ± 15.4 Kg, with the difference between achieved and predicted 1RM in mean 0.0 ± 8.3 Kg and 0.0 ± 8.1 Kg for LA and LC, respectively (P < 0.01). The obtained model's showed an acceptable validity, and further can be currently used as a tool for predicting the 1RM workload. 2013 artículo científico 1981-6324 https://www.redalyc.org/articulo.oa?id=93026211006 en http://www.redalyc.org/revista.oa?id=930 Brazilian Journal of Biomotricity application/pdf Universidade Iguaçu Brazilian Journal of Biomotricity (Brasil) Num.1 Vol.7
format Artículo científico
id redalyc_93026211006
institution Redalyc
language en
publishDate 2013
publisher Universidade Iguaçu
spellingShingle PREDICTION MODEL OF ONE REPETITION MAXIMUM (1RM) BASED ON ANTHROPOMETRICAL CHARACTERISTICS ON MALE AND FEMALE
Wollner Materko
Salud
free fat mass
anthropometry
Strength training
resistance training
anthropometric evaluation
PREDICTION MODEL OF ONE REPETITION MAXIMUM (1RM) BASED ON ANTHROPOMETRICAL CHARACTERISTICS ON MALE AND FEMALE Wollner Materko Edil Luis Santos Salud free fat mass anthropometry Strength training resistance training anthropometric evaluation The goal of the present study was to determine a model for predicting one maximum repetition (1RM) based on anthropometrical characteristics for exercises leg abduction (LA) and leg curl (LC) on males and females. Forty-eight volunteers trained in strength training were submitted to an anthropometric evaluation, followed by a 1RM test for exercises LA and LC. After resting for at least 48h, they randomly underwent either a new 1RM. The model's for predicting 1RM strength were obtained by multiple linear regression for LA and LC exercises assuming as independent variables: fat-free mass and gender. The best model’s explained 66% and 78% of the known variance and have a standard error of estimate of 15.5% and 15.4% of the measured 1RM for LA and LC, respectively. The measured 1RM were 54.4 ± 14.3 Kg and 54.0 ± 17.4 Kg and predicted 1RM were 54.4 ± 11.8 Kg and 54.0 ± 15.4 Kg, with the difference between achieved and predicted 1RM in mean 0.0 ± 8.3 Kg and 0.0 ± 8.1 Kg for LA and LC, respectively (P < 0.01). The obtained model's showed an acceptable validity, and further can be currently used as a tool for predicting the 1RM workload. 2013 artículo científico 1981-6324 https://www.redalyc.org/articulo.oa?id=93026211006 en http://www.redalyc.org/revista.oa?id=930 Brazilian Journal of Biomotricity application/pdf Universidade Iguaçu Brazilian Journal of Biomotricity (Brasil) Num.1 Vol.7
title PREDICTION MODEL OF ONE REPETITION MAXIMUM (1RM) BASED ON ANTHROPOMETRICAL CHARACTERISTICS ON MALE AND FEMALE
topic Salud
free fat mass
anthropometry
Strength training
resistance training
anthropometric evaluation
url https://www.redalyc.org/articulo.oa?id=93026211006