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Exercise and Muscle Performance01:27

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Versatility of Protocols for Resistance Training and Assessment Using Static and Dynamic Ladders in Animal Models
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A Muscle Physiology-Based Framework for Quantifying Training Load in Resistance Exercises.

Frank Imbach1,2,3, Stéphane Perrey2, Thomas Brioche3

  • 1Seenovate, 34000 Montpellier, France.

Sports (Basel, Switzerland)
|January 24, 2025
PubMed
Summary
This summary is machine-generated.

Objective training load (TL) indexes lack physiological meaning in resistance training. This study proposes a muscle physiology-based approach to quantify TL, considering muscle fatigue kinetics for more accurate physiological response assessment.

Keywords:
force–velocity profilingmodellingmuscle fatiguephysiological responsesprincipal component analysisrate of force developmentstrength training

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Area of Science:

  • Exercise Physiology
  • Sports Science
  • Biomechanical Analysis

Background:

  • Current objective training load (TL) indexes in resistance training (RE) lack physiological significance.
  • There is a need for a more physiologically relevant method to quantify TL in RE.
  • Understanding muscle physiology is key to improving TL assessment.

Purpose of the Study:

  • To develop a muscle physiology-based approach for quantifying TL in resistance exercises (REs).
  • To investigate physiological responses to different resistance training intensities.
  • To explore the impact of fatigue kinetics on TL quantification.

Main Methods:

  • Fifteen participants underwent individual torque-velocity profiling.
  • Participants performed isokinetic leg extension sessions at low, moderate, and high intensities (LI, MI, HI), with volume-equated loads using the 'volume-load' (VL) method.
  • Systemic and local physiological responses, including mechanical work, torque, impulse, rate of force development (RFD), and electromyographic activity, were measured.

Main Results:

  • Significant differences in mechanical work, normalized torque, mechanical impulse, and RFD were observed across intensities.
  • RFD was primarily affected by repetition accumulation, with impairments noted at low-intensity/long-series and high-intensity protocols.
  • Muscle function impairments correlated with RFD rate decay and electromyographic changes, suggesting fatigue kinetics are crucial.

Conclusions:

  • A generic equation for muscle fatigue rise could enhance TL quantification in RE.
  • Integrating muscle fatigue kinetics and utilizing dimension reduction methods improve the physiological description of RE responses.
  • A multidimensional approach considering various TL indexes is essential for practical field applications.