Using Physiological Laboratory Tests and Neuromuscular Functions to Predict Extreme Ultratriathlon Performance

Area of Science:

• Sports Science and Physiology
• Endurance Sports Performance
• Triathlon Training and Biomechanics

Background:

• Extreme ultra-triathlon (EUT) involves demanding multi-disciplinary endurance events.
• Understanding the relationship between discipline-specific performance and overall race outcome is vital for training optimization.
• Identifying key physiological and neuromuscular predictors can enhance athlete assessment and race strategy.

Purpose of the Study:

• To analyze the correlation between individual discipline split times and overall EUT performance.
• To determine the relationship between physiological and neuromuscular variables and fractional/total EUT performance.
• To identify predictive variables for both partial and overall EUT race times.

Main Methods:

• Eleven male volunteers underwent maximal graded cycling and running tests to assess physiological parameters (e.g., VO2peak, VTPO).
• Neuromuscular function was evaluated using muscle strength and power tests, including the countermovement jump (CMJ).
• Correlational analyses were performed to link discipline splits and physiological/neuromuscular data to overall EUT performance.

Main Results:

• Cycling and running split times were strong predictors of overall EUT performance (r² = 0.949 and r² = 0.925, respectively), unlike swimming splits (r² = 0.005).
• VO2peak during running (VO2peakrun) and VT power output during cycling (VTPO) were primary predictors of cycling performance.
• VO2peakrun and peak power output during cycling (PPO) were the strongest predictors of running performance.

Conclusions:

• VO2peakrun, VTPO, and CMJ jump height are the most significant predictors of total EUT performance (r² = 0.99).
• Coaches should incorporate assessments of VO2peakrun, VTPO, and CMJ to monitor athlete status and performance.
• Further research is recommended to investigate the impact of improving these variables on actual EUT race outcomes.