Skip to main navigation Skip to search Skip to main content

Prediction of percentage of completed repetitions to failure using velocity loss: does the relationship remain stable throughout a training session?

  • Alejandro Pérez-Castilla
  • , Deniz Şentürk
  • , Zeki Akyildiz
  • , Ivan Jukic
  • , Amador García-Ramos*
  • *Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

75 Downloads (Pure)

Abstract

This study explored the goodness-of-fit and the effect of fatigue on the precision of both generalized and individualized relationships between the velocity loss (%VL) magnitude and the percentage of completed repetitions with respect to the maximal that can be performed to failure (%Rep) in the Smith machine parallel back-squat exercise. Twenty-nine resistance-trained males completed four sets to failure, with a rest period of 2 min, against 75% of the one-repetition maximum. Generalized and individualized %Rep-%VL equations determined in the first set were used to estimate %Rep when a 20%VL was achieved during the three successive sets. Individualized %Rep-%VL relationships (R2 = 0.84–0.99) showed a greater goodness-of-fit than the generalized %Rep-%VL relationship (R2 = 0.82). However, the accuracy in the %Rep estimation was always low (absolute errors > 10%) and comparable for both regression models (p = 0.795). %Rep was progressively overestimated when increasing the number of sets using the MVfastest of the first set (from 15% to 45%), but no meaningful overestimations were observed using the MVfastest of each set (~2%). In conclusion, neither the generalized nor the individual %Rep-%VL equations provide accurate estimations of %Rep during the parallel back-squat exercise executed under fatigue.
Original languageEnglish
Article number4531
Number of pages10
JournalApplied Sciences (Switzerland)
Volume14
Issue number11
Early online date25 May 2024
DOIs
Publication statusPublished - 25 May 2024

Keywords

  • Fatigue
  • Level of exertion
  • Neuromuscular fatigue
  • Resistance training
  • Velocity-based training

Fingerprint

Dive into the research topics of 'Prediction of percentage of completed repetitions to failure using velocity loss: does the relationship remain stable throughout a training session?'. Together they form a unique fingerprint.

Cite this