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Related Experiment Video

Updated: Jun 20, 2026

Doppler Ultrasound-Based Leg Blood Flow Assessment During Single-Leg Knee-Extensor Exercise in an Uncontrolled Setting
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Doppler Ultrasound-Based Leg Blood Flow Assessment During Single-Leg Knee-Extensor Exercise in an Uncontrolled Setting

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Quantifying and Comparing Training Load Metrics in Cycling: A Methodology Review.

Arthur Henrique Bossi1,2, Guilherme Matta3, Pedro Lima4

  • 1School of Applied Sciences, Edinburgh Napier University, Edinburgh, United Kingdom.

International Journal of Sport Nutrition and Exercise Metabolism
|June 18, 2026
PubMed
Summary

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This summary is machine-generated.

This review provides clear methods for calculating and interpreting cycling training load metrics like training stress score and Edwards

Area of Science:

  • Sports Science
  • Exercise Physiology
  • Performance Analytics

Background:

  • Accurate training load monitoring is crucial for optimizing cyclist performance and preventing maladaptation or injury.
  • Quantifying training load aids in personalized nutrition planning, adjusting energy and macronutrient needs based on exercise demands.
  • Students and practitioners face challenges in selecting, calculating, and interpreting various training load metrics.

Purpose of the Study:

  • To provide a methodology for computing three key cycling training load metrics: training stress score, Edwards' training impulse, and session rating of perceived exertion.
  • To offer practical, illustrated examples for evaluating and predicting these metrics using competitive cyclist data.
  • To guide the interpretation of relationships between metrics and their application in nutrition planning.
Keywords:
coaching educationdata analysisnutritional managementscientific literacytraining monitoring

Related Experiment Videos

Last Updated: Jun 20, 2026

Doppler Ultrasound-Based Leg Blood Flow Assessment During Single-Leg Knee-Extensor Exercise in an Uncontrolled Setting
09:18

Doppler Ultrasound-Based Leg Blood Flow Assessment During Single-Leg Knee-Extensor Exercise in an Uncontrolled Setting

Published on: December 15, 2023

Main Methods:

  • Step-by-step guidance on calculating training stress score, Edwards' training impulse, and session rating of perceived exertion.
  • Visualization and interpretation of metric relationships using scatterplots and regression analyses (linear, curvilinear, with/without intercepts).
  • Application of partial correlation to analyze metric associations, controlling for exercise duration.

Main Results:

  • Demonstrated practical calculation and interpretation of training load metrics.
  • Illustrated the derivation of session-specific carbohydrate and energy targets from training data.
  • Provided spreadsheet instructions and R script for replication and integration into practice.

Conclusions:

  • The outlined methods enhance understanding of training load monitoring for students and practitioners.
  • Enables the development of tailored training and nutrition strategies for individual cyclists.
  • Facilitates evidence-based decision-making in training and nutrition periodization.