PREDICTION OF PERFORMANCE FROM ANTHROPOMETRIC, PHYSIOLOGICAL AND STRENGTH COMPONENTS IN ROWING

<p></p><p>ABSTRACT Introduction: The performance of rowers in the rowing ergometer is a matter of curiosity among scientists. Prediction models can measure performance on the rowing ergometer. In this sense, the studied variables were analyzed as possible predictors of performance. Objective: To develop different regression models in order to predict performance using the anthropometric variables body composition, maximal oxygen consumption, and strength. Methods: Twenty rowers participated in the study (21.35±0.98 years). The tests of maximal oxygen consumption, strength, 500 m, and dual-energy X-ray absorptiometry were applied. Multiple linear regressions were performed on SPSS 16 for the four different regression models. The reliability of the models was indicated by the coefficient of determination R2 and by the standard error of the estimation (SEE). Results: The anthropometry-power models (R2=0.92, SEE=0.06), VO2 peak (R2=0.88, SEE=0.07), strength-power (R2=0.93, SEE=0.06) presented reliable prediction for 500 m in the rowing ergometer, as well as the combination of all the variables (R2=0.94, SEE=0.08). Conclusion: Once these analyzes have been made, we can assure the necessity of these models with the objective of complementing the identification, selection of talents and, above all, improvement in performance.</p><p></p>