Prediction of elite schoolboy 2000-m rowing ergometer performance from metabolic, anthropometric and strength variables

Authors: Russell A. P.; Rossignol P.F.L.; Sparrow W. A.

Source: Journal of Sports Sciences, Volume 16, Number 8, 1 November 1998 , pp. 749-754(6)

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Abstract:

In 19 elite schoolboy rowers, the relationships between anthropometric characteristics, metabolic parameters, strength variables and 2000-m rowing ergometer performance time were analysed to test the hypothesis that a combination of these variables would predict performance better than either individual variables or one category of variables. Anthropometric characteristics, maximal oxygen uptake (V O_{2m ax}), accumulated oxygen deficit, net efficiency, leg strength and 2000-m rowing ergometer time were measured. Body mass, V O_2max and knee extension correlated with 2000-m performance time (r = -0.41, -0.43 and-0.40, respectively; P 0.05), while net efficiency and accumulated oxygen deficit did not. Multiple-regression analyses indicated that the prediction model using anthropometric variables alone best predicts performance (R = 0.82), followed by the equation comprising body mass, V O_2max and skinfolds (R = 0.80). Although the regression equations increased the predictive power from that obtained using single variables, the hypothesis that a prediction model consisting of variables from different physiological categories would predict performance better than variables from one physiological category was not supported.

Keywords: EFFICIENCY; OXYGEN; DEFICIT; OXYGEN; UPTAKE; PREDICTION; MODELS; ROWING

Language: English

Document Type: Research article

Publication date: 1998-11-01

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