The power profile predicts road cycling MMP.

Area of Science:

• Sports Science
• Exercise Physiology
• Cycling Performance Analysis

Background:

• Laboratory fitness tests are established predictors of cycling time-trial performance.
• Mass-start road races present unique challenges like drafting and variable power output, limiting direct comparisons with lab tests.
• The ecological validity of laboratory assessments in replicating real-world cycling competition demands requires further investigation.

Purpose of the Study:

• To compare power output measured in the laboratory Power Profile (PP) test with Maximum Mean Power (MMP) derived from competition data in male cyclists.
• To determine if the PP test is an ecologically valid measure of power-producing capacity relevant to competitive road cycling.
• To assess the utility of PP testing in conjunction with MMP analysis for quantifying cycling performance.

Main Methods:

• Ten male cyclists completed a laboratory Power Profile (PP) test within 14 days of participating in road races.
• Maximum Mean Power (MMP) analysis was performed on competition data for durations ranging from 60 to 600 seconds.
• Key performance indicators including total work, critical power, and W' (work above critical power) were compared between lab and competition data.

Main Results:

• No significant differences were observed between the Power Profile (PP) test results and Maximum Mean Power (MMP) analysis of competition data for durations of 60-600 s.
• Estimates of critical power and W' (work above critical power) were comparable between laboratory testing and competition analysis.
• Cyclists exhibited a higher self-selected cadence (15±7 rpm) during laboratory testing compared to competition.

Conclusions:

• The Power Profile (PP) test demonstrates ecological validity as an assessment of power-producing capacity across cycling-specific durations.
• The PP test, when combined with Maximum Mean Power (MMP) analysis of competition data, offers a valuable approach for quantifying performance metrics in competitive cyclists.
• This integrated approach can aid coaches and athletes in understanding and optimizing power output for road racing scenarios.