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Track cycling sprint sex differences using power data.

Hamish Ferguson¹, Chris Harnish², Sebastian Klich³

¹Centre for Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.

|July 17, 2023

Summary

This summary is machine-generated.

Female and male track sprint cyclists show similar power profiles and relationships between peak and endurance power. However, women exhibit greater inter-athlete variability, suggesting a need for personalized training strategies.

Keywords:

Female athletes Sports performance Sprint cycling

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Area of Science:

Sports Science
Exercise Physiology
Cycling Performance Analysis

Background:

Limited data exists on sex-based differences in power profiles for track sprint cycling.
Understanding these differences is crucial for optimizing training and performance in both male and female athletes.

Purpose of the Study:

To analyze retrospective data of female and male track sprint cyclists to identify sex differences in power profiles.
To hypothesize that women would have lower peak power to weight and different power duration distributions compared to men.

Main Methods:

Utilized training, testing, and racing data from 29 track sprint cyclists (8 women, 21 men) sourced from a public online repository.
Created sex-specific power profiles and analyzed model quality using R-squared (R²).
Compared watts per kilogram (W/kg) for various durations between sexes using regression indices.

Main Results:

Confirmed the sample consisted of sprint cyclists with high peak and competition power.
All power profiles demonstrated high model quality (R² ≥ 0.77).
Regression indices were similar for both sexes across all durations, indicating comparable peak power and relationships between peak and endurance power, contrary to the initial hypothesis.

Conclusions:

Female and male track sprinters exhibit similar relationships between peak power and endurance power.
Greater inter-athlete variability in W/kg was observed in female cyclists, suggesting a need for individualized training approaches.
Future research with larger, diverse samples is recommended to refine training recommendations.