Modeling Oxygen Uptake during V1 Treadmill Roller Skiing

Area of Science:

• Exercise Physiology
• Sports Science
• Biomechanical Engineering

Background:

• Regression equations are commonly used for predicting oxygen uptake in fitness testing and cardiac rehabilitation.
• Sport-specific testing enhances test reliability and is crucial for effective training program development.

Purpose of the Study:

• To develop a cross-country skiing specific predictor of maximal oxygen uptake (VO2max).
• To establish a predictive model using treadmill-based variables relevant to cross-country skiing.

Main Methods:

• Simulated cross-country skiing using roller skis on a large research treadmill.
• Employed bootstrapping techniques and multiple regression analysis due to a small sample size (N=34).
• Validated model stability through a cross-validation procedure.

Main Results:

• Developed the predictive equation: VO2 = -4.534 + 0.223(G) + 0.061(BM) + 0.139(TG) + 0.016(TS).
• Variables included Gender (G), Body Mass (BM), Treadmill Grade (TG), and Treadmill Speed (TS).

Conclusions:

• The developed model provides a practical method for predicting maximal oxygen uptake in cross-country skiers.
• This equation can inform training program design, athlete fitness assessments, and research protocols.
• Facilitates VO2max prediction when advanced metabolic equipment is inaccessible.