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Quantifying training load: a comparison of subjective and objective methods.

Jill Borresen1, Michael I Lambert

  • 1University of Cape Town, Newlands, South Africa.

International Journal of Sports Physiology and Performance
|February 6, 2009
PubMed
Summary
This summary is machine-generated.

The session rating of perceived exertion (RPE) method offers a reliable way to measure training load, comparable to heart rate-based methods like training impulse (TRIMP) and summated heart rate zones (SHRZ). Accuracy may decrease with very high or low intensity training.

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Area of Science:

  • Exercise Physiology
  • Sports Science
  • Training Load Monitoring

Background:

  • Quantifying training load is crucial for optimizing athletic performance and preventing overtraining.
  • Subjective measures like session rating of perceived exertion (RPE) are practical but require validation against objective methods.
  • Objective methods, including training impulse (TRIMP) and summated heart rate zones (SHRZ), offer quantitative data on training stress.

Purpose of the Study:

  • To determine the relationship between subjective session RPE and objective training load quantification methods (TRIMP and SHRZ).
  • To identify factors contributing to the variance between subjective and objective training load measures.
  • To assess the accuracy of session RPE in reflecting actual training load across different intensity distributions.

Main Methods:

  • Thirty-three participants engaged in 2 weeks of self-directed training.
  • Heart rate (HR) and session RPE were recorded throughout the training period.
  • Participants were categorized into groups (OVER, UNDER, ACCURATE) based on how well their training load predictions aligned between subjective and objective methods.

Main Results:

  • A strong correlation (r = .76) was found between TRIMP and session-RPE.
  • A higher correlation (r = .84) was observed between SHRZ and session-RPE.
  • Participants who OVER-predicted training load spent more time in high-intensity HR zones (Zone 4), while UNDER-predictors spent more time in low-intensity zones (Zone 1 and 2).

Conclusions:

  • Session-RPE is a reasonably accurate method for assessing training load when compared to HR-based methods.
  • Discrepancies in accuracy arise when training involves a disproportionate amount of time spent at very low or very high intensities.
  • Understanding individual training patterns is key to interpreting the accuracy of subjective training load measures.