Van Schuylenbergh et al. (A-9) used physiological and anthropometric measurements as independent variables to predict triathlon performance

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Van Schuylenbergh et al. (A-9) used physiological and anthropometric measurements as independent variables to predict triathlon performance (expressed in minutes). Ten triathletes underwent extensive physiological testing in swimming, cycling, and running. Within 2 weeks after the last laboratory test, all subjects competed in the National University Triathlon Championship. The final regression model was TP ¼ 130 9:2MLSSR 25:9MLSSS þ 1:4BLCR in which TP ¼ triathlon performance in minutes, MLSSR ¼ the running speed at MLSS (m/s), MLSSS ¼ the swimming speed at MLSS, and BLCR ¼ blood lactate concentration at running MLSS

(mmol/L). MLSS refers to maximal lactate steady state and is generally acknowledged to be a good marker of functional aerobic power during prolonged exercise. It also differs for each physical activity. For the above model R2 ¼ :98.

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