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Conventional methods to prescribe exercise intensity are ineffective for exhaustive interval training

Arthur Henrique Bossi, Diana J. Cole, Louis Passfield, James Hopker

2023European Journal of Applied Physiology12 citationsDOIOpen Access PDF

Abstract

Abstract Purpose To compare methods of relative intensity prescription for their ability to normalise performance (i.e., time to exhaustion), physiological, and perceptual responses to high-intensity interval training (HIIT) between individuals. Methods Sixteen male and two female cyclists (age: 38 ± 11 years, height: 177 ± 7 cm, body mass: 71.6 ± 7.9 kg, maximal oxygen uptake ( $$ \dot{\text{V}} $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mover> <mml:mtext>V</mml:mtext> <mml:mo>˙</mml:mo> </mml:mover> </mml:math> O 2max ): 54.3 ± 8.9 ml·kg −1 min −1 ) initially undertook an incremental test to exhaustion, a 3 min all-out test, and a 20 min time-trial to determine prescription benchmarks. Then, four HIIT sessions (4 min on, 2 min off) were each performed to exhaustion at: the work rate associated with the gas exchange threshold ( $$ \dot{\text{W}} $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mover> <mml:mtext>W</mml:mtext> <mml:mo>˙</mml:mo> </mml:mover> </mml:math> GET ) plus 70% of the difference between $$ \dot{\text{W}} $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mover> <mml:mtext>W</mml:mtext> <mml:mo>˙</mml:mo> </mml:mover> </mml:math> GET and the work rate associated with $$ \dot{\text{V}} $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mover> <mml:mtext>V</mml:mtext> <mml:mo>˙</mml:mo> </mml:mover> </mml:math> O 2max ; 85% of the maximal work rate of the incremental test (85% $$ \dot{\text{W}} $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mover> <mml:mtext>W</mml:mtext> <mml:mo>˙</mml:mo> </mml:mover> </mml:math> max ); 120% of the mean work rate of the 20 min time-trial (120%TT); and the work rate predicted to expend, in 4 min, 80% of the work capacity above critical power. Acute HIIT responses were modelled with participant as a random effect to provide estimates of inter-individual variability. Results For all dependent variables, the magnitude of inter-individual variability was high, and confidence intervals overlapped substantially, indicating that the relative intensity normalisation methods were similarly poor. Inter-individual coefficients of variation for time to exhaustion varied from 44.2% (85% $$ \dot{\text{W}} $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mover> <mml:mtext>W</mml:mtext> <mml:mo>˙</mml:mo> </mml:mover> </mml:math> max ) to 59.1% (120%TT), making it difficult to predict acute HIIT responses for an individual. Conclusion The present study suggests that the methods of intensity prescription investigated do not normalise acute responses to HIIT between individuals.

Topics & Concepts

High-intensity interval trainingExercise prescriptionConfidence intervalVO2 maxInterval trainingMathematicsSports medicineIntensity (physics)Work rateMedicineStatisticsPhysical therapyHeart rateAnimal scienceInternal medicineBlood pressurePhysicsQuantum mechanicsBiologyCardiovascular and exercise physiologySports Performance and TrainingPhysical Activity and Health
Conventional methods to prescribe exercise intensity are ineffective for exhaustive interval training | Litcius