Highest oxygen consumption prediction: introducing variable theoretical proportional factors for different sports.

PURPOSE

The use of a fixed theoretical-proportional-factor (TPF) is one of the indirect highest-oxygen-consumptions (HOC) assessment methods, but it may not accurately reflect the physiological differences across various sports (cycling-triathlon-running-football-multisport). The aim of this study is to evaluate the variability of TPF across different sports, proposing a series of sport-specific new TPF values for more accurate HOC estimation.

METHODS

A sample of 340 adults (26.01 ± 7.18 years) performed a maximal-incremental-test using sport-specific-ergometers. HOC was considered for cycling  , whereas for the other investigated sports it was considered . HOC was directly measured using a gas-analyzer, and TPF values were calculated using heart rate (HR): the ratio of HR/HR multiplied for the measured values of HOC. A one-way ANOVA was used to measure differences and Bland-Altman plots were constructed to compare predicted and actual  / .

RESULTS

Actual HOC was significantly greater than those predicted by the fixed TPF (P < 0.001). Sport-specific new TPF values ranged from 16.55 in multisport to 20.15 in cycling, consistently exceeding the old fixed TPF, and predicting therefore better HOC. The new TPF exhibited a closer agreement with the directly measured /  compared to the TPF. Furthermore, the new TPF reduced the typical-measurement-error (14.94-17.78%) compared to TPF (15.63-24.13%).

CONCLUSION

This study suggests that new TPF values predict /  with higher accuracy compared to the traditional method. The use of HR and HR values allows to customize training programs for different athletes. Future research should focus on validating these findings across larger populations of athletes.