Abstract
Purpose: Velocity-based training is used to prescribe and monitor resistance-training based on velocity outputs measured with tracking devices. When tracking devices are unavailable or impractical to use, perception of velocity loss (PVL) can be used as a substitute, assuming sufficient accuracy. Here we investigated the accuracy of PVL equal to 20% and 40% relative to the first repetition in the bench press exercise.
Methods: Following a familiarization session, 26 resistance-trained men performed four sets of the bench press exercise using four different loads based on their individual load-velocity relationships (~40-90% of one-repetition maximum [1RM]), completed in a randomized order. Participants verbally reported their PVL at 20% and 40% velocity loss during the sets. PVL accuracy was calculated as the absolute difference between the timing of reporting PVL and the actual repetition number corresponding to 20% and 40% velocity loss measured with a linear encoder.
Results: Linear mixed-effects model analysis revealed four main findings. First, across all conditions, the absolute average PVL error was 1 repetition. Second, the PVL accuracy was not significantly different between the PVL thresholds (𝛽=0.16, P=0.267). Third, greater accuracy was observed in loads corresponding to the mid-portion of the individual load velocity relationships (~50-60% of 1RM) compared to lighter (60%1RM, 0.63 ≤ 𝛽 ≤0.84, all P values
Conclusions: PVL can be implemented as a monitoring and prescription method when velocity tracking devices are impractical or absent.
Methods: Following a familiarization session, 26 resistance-trained men performed four sets of the bench press exercise using four different loads based on their individual load-velocity relationships (~40-90% of one-repetition maximum [1RM]), completed in a randomized order. Participants verbally reported their PVL at 20% and 40% velocity loss during the sets. PVL accuracy was calculated as the absolute difference between the timing of reporting PVL and the actual repetition number corresponding to 20% and 40% velocity loss measured with a linear encoder.
Results: Linear mixed-effects model analysis revealed four main findings. First, across all conditions, the absolute average PVL error was 1 repetition. Second, the PVL accuracy was not significantly different between the PVL thresholds (𝛽=0.16, P=0.267). Third, greater accuracy was observed in loads corresponding to the mid-portion of the individual load velocity relationships (~50-60% of 1RM) compared to lighter (60%1RM, 0.63 ≤ 𝛽 ≤0.84, all P values
Conclusions: PVL can be implemented as a monitoring and prescription method when velocity tracking devices are impractical or absent.
Original language | English |
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Pages (from-to) | 488-494 |
Number of pages | 7 |
Journal | International Journal of Sports Physiology and Performance |
Volume | 18 |
Issue number | 5 |
Early online date | 16 Mar 2023 |
DOIs | |
Publication status | Published - 31 May 2023 |
Keywords
- auroregulation
- biomechanics
- velocity-based training
- monitoring