Maximal dinamic strength estimation by regression a analyses and coefficients based on anthropometric parameters of non-trained men

Authors

  • Gesséler Campos de Oliveira Marques Universidade Federal do Rio Grande do Sul
  • Michel Arias Brentano Universidade Federal do Rio Grande do Sul
  • Luiz Fernando Martins Kruel Universidade Federal do Rio Grande do Sul

DOI:

https://doi.org/10.1590/S1807-55092009000200007

Keywords:

Body composition, 1 RM test, Strength predition

Abstract

The 1 RM test percentages have been used to prescribe strength training intensity. However, this test is time demanding due to difficulties in choosing the initial load. Estimations of 1 RM have been proposed by the utilization of anthropometric parameters. However, few exercises were investigated. Therefore, the aim of this study was to generate regression coefficients to estimate maximal strength in three strength exercises, based on body mass and lean body mass. Sixteen physically active young adult males had their body composition (skinfolds) and maximal strength (1 RM - lat pulldown, peck deck and triceps pressdown) assessed. Correlations between maximal strength, body mass and lean body mass were obtained by Pearson test (P ≤ 0.05). Comparisons between the strength values obtained by regression coefficients, regression analysis and the “real” strength values, were made by analysis of variance with repeated measures (ANOVA), and Bonferroni post-hoc test. It was observed that only lean body mass was correlated with lat pulldown (r = 0.538, p < 0.05), peck deck (r = 0.502, p < 0.05) and triceps pressdown (r = 0.556, p < 0.05) strength values, resulting in the coefficients 1.01, 0.92, and 0.52, respectively. We concluded that the coefficients stated by lean body mass can be used to estimate maximal strength in detrained young male adults.

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Published

2009-06-01

Issue

Section

naodefinida

How to Cite

Marques, G. C. de O., Brentano, M. A., & Kruel, L. F. M. (2009). Maximal dinamic strength estimation by regression a analyses and coefficients based on anthropometric parameters of non-trained men . Brazilian Journal of Physical Education and Sport, 23(2), 171-181. https://doi.org/10.1590/S1807-55092009000200007