Biomechanical and Anthropometric Factors That Differentiate National- and Regional-Level Judo Players

in International Journal of Sports Physiology and Performance
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Purpose: The study aimed to identify the variables that differentiate judo athletes at national and regional levels. Multivariable analysis was applied to biomechanical, anthropometric, and Special Judo Fitness Test (SJFT) data. Method: Forty-two male judo athletes from 2 competitive groups (14 national and 28 state levels) performed the following measurements and tests: (1) skinfold thickness, (2) circumference, (3) bone width, (4) longitudinal length, (5) stabilometric tests, (6) dynamometric tests, and (7) SJFT. The variables with significant differences in the Wilcoxon rank-sum test were used in stepwise logistic regression to select those that better separate the groups. The authors considered models with a maximum of 3 variables to avoid overfitting. They used 7-fold cross validation to calculate optimism-corrected measures of model performance. Results: The 3 variables that best differentiated the groups were the epicondylar humerus width, the total number of throws on the SJFT, and the stabilometric mean velocity of the center of pressure in the mediolateral direction. The area under the receiver-operating-characteristic curve for the model (based on 7-fold cross validation) was 0.95. Conclusion: This study suggests that a reduced set of anthropometric, biomechanical, and SJFT variables can differentiate judo athlete’s levels.

The authors are with the Biomedical Engineering Program, COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil. Teixeira is also with the Biomechanics Laboratory, Estácio de Sá University, Rio de Janeiro, Brazil, and the Laboratory of Psychophysiology and Performance in Sports and Combats, College of Physical Education and Sports, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil. Mello is also with the Sports and Physical Education Dept, Naval Academy, Brazilian Navy, Rio de Janeiro, Brazil.

Nadal (jn@peb.ufrj.br) is corresponding author.
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