Multivariate Analysis in the Maximum Strength Performance

E. O. de Souza; V. Tricoli; A. C. Paulo; C. Silva-Batista; R. K. Cardoso; P. C. Brum; A.V. N. Bacurau; G. Laurentino; M. Neves-Jr; A. Y. Aihara; C. Ugrinowitsch

doi:10.1055/s-0032-1314813

International Journal of Sports Medicine, Table of Contents

Int J Sports Med 2012; 33(12): 970-974
DOI: 10.1055/s-0032-1314813

Training & Testing

Multivariate Analysis in the Maximum Strength Performance

E. O. de Souza

¹Department of Sport, School of Physical Education and Sport, University of São Paulo, SP, Brazil

,

V. Tricoli

¹Department of Sport, School of Physical Education and Sport, University of São Paulo, SP, Brazil

,

A. C. Paulo

¹Department of Sport, School of Physical Education and Sport, University of São Paulo, SP, Brazil

²Department of Physical Education, Universidade Paulista (UNIP), São Paulo, Brazil

³Department of Physical Education, Universidade Nove de Julho, São paulo Brazil

,

C. Silva-Batista

¹Department of Sport, School of Physical Education and Sport, University of São Paulo, SP, Brazil

,

R. K. Cardoso

¹Department of Sport, School of Physical Education and Sport, University of São Paulo, SP, Brazil

,

P. C. Brum

¹Department of Sport, School of Physical Education and Sport, University of São Paulo, SP, Brazil

,

A.V. N. Bacurau

¹Department of Sport, School of Physical Education and Sport, University of São Paulo, SP, Brazil

,

G. Laurentino

¹Department of Sport, School of Physical Education and Sport, University of São Paulo, SP, Brazil

,

M. Neves-Jr

⁴School of Medicine, University of São Paulo, SP, Brazil

,

A. Y. Aihara

⁵ Diagnósticos das Américas S/A (DASA), SP, Brazil

⁶Department of Radiology of Federal University of São Paulo, SP, Brazil

,

C. Ugrinowitsch

¹Department of Sport, School of Physical Education and Sport, University of São Paulo, SP, Brazil

› Author Affiliations

Abstract

This study performed an exploratory analysis of the anthropometrical and morphological muscle variables related to the one-repetition maximum (1RM) performance. In addition, the capacity of these variables to predict the force production was analyzed. 50 active males were submitted to the experimental procedures: vastus lateralis muscle biopsy, quadriceps magnetic resonance imaging, body mass assessment and 1RM test in the leg-press exercise. K-means cluster analysis was performed after obtaining the body mass, sum of the left and right quadriceps muscle cross-sectional area (∑CSA), percentage of the type II fibers and the 1RM performance. The number of clusters was defined a priori and then were labeled as high strength performance (HSP_1RM) group and low strength performance (LSP_1RM) group. Stepwise multiple regressions were performed by means of body mass, ∑CSA, percentage of the type II fibers and clusters as predictors’ variables and 1RM performance as response variable. The clusters mean±SD were: 292.8±52.1 kg, 84.7±17.9 kg, 19 249.7±1 645.5 mm² and 50.8±7.2% for the HSP_1RM and 254.0±51.1 kg, 69.2±8.1 kg, 15 483.1±1 104.8 mm² and 51.7±6.2%, for the LSP_1RM in the 1RM, body mass, ∑CSA and muscle fiber type II percentage, respectively. The most important variable in the clusters division was the ∑CSA. In addition, the ∑CSA and muscle fiber type II percentage explained the variance in the 1RM performance (Adj R²=0.35, p=0.0001) for all participants and for the LSP_1RM (Adj R²=0.25, p=0.002). For the HSP_1RM, only the ∑CSA was entered in the model and showed the highest capacity to explain the variance in the 1RM performance (Adj R²=0.38, p=0.01). As a conclusion, the muscle CSA was the most relevant variable to predict force production in individuals with no strength training background.

Key words

1RM - muscle biopsy - cross-sectional area - body mass

Full Text

References

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