Predicting Total Back Squat Repetitions from Repetition Velocity and Velocity Loss
(Michael H. Haischer, Joseph P. Carzoli, Daniel M. Cooke, Joshua C. Pelland, Jacob F. Remmert, Michael. C. Zourdos.)

 Article (PDF) 
Authors
Michael H. Haischer, Joseph P. Carzoli, Daniel M. Cooke, Joshua C. Pelland, Jacob F. Remmert, Michael. C. Zourdos.
Abstract

The purpose of this investigation was to determine if average concentric velocity (ACV) of a single repetition at 70% of one-repetition maximum (1RM), ACV of the first repetition of a set to failure at 70% of 1RM, or the velocity loss during the set could predict the number of repetitions performed in the back squat. Fifty-six resistance-trained individuals participated in the study (male = 41, age = 23 ± 3 yrs, 1RM = 162.0 ± 40.0 kg; female = 15, age = 21 ± 2 yrs, 1RM = 81.5 ± 12.5 kg). After 1RM testing, participants performed single repetition sets with 70% of 1RM and a set to failure with 70% of 1RM. ACV was recorded on all repetitions. Regression model comparisons were performed, and Akaike Information Criteria (AIC) and Standard Error of the Estimate (SEE) were calculated to determine the best model. Neither single repetition ACV at 70% of 1RM (R² = 0.004, p = 0.637) nor velocity loss (R² = 0.011, p = 0.445) were predictive of total repetitions performed in the set to failure. The simple quadratic model using the first repetition of the set to failure (𝑌=𝛽+𝛽𝑋 +𝛽𝑋 +𝜀) was identified as the best and most parsimonious model (R2 = 0.259, F = 9.247, p < 0.001) due to the lowest AIC value (311.086). A SEE of 2.21 repetitions was identified with this model. This average error of ~2 repetitions warrants only cautious utilization of this method to predict total repetitions an individual can perform in a set, with additional autoregulatory or individualization strategies being necessary to finalize the training prescription.
DOI
DOI: 10.5114/jhk/162021
Citation
 APA 
Haischer, M. H., Carzoli, J. P., Cooke, D. M., Pelland, J. C., Remmert, J. F., Zourdos, M. C. (2023). Predicting Total Back Squat Repetitions from Repetition Velocity and Velocity Loss. Journal of Human Kinetics, 87, 167-178. https://doi.org/10.5114/jhk/162021
 Harvard 
Haischer, M. H., Carzoli, J. P., Cooke, D. M., Pelland, J. C., Remmert, J. F., and Zourdos, M. C. (2023). Predicting Total Back Squat Repetitions from Repetition Velocity and Velocity Loss. Journal of Human Kinetics, 87, pp.167-178. https://doi.org/10.5114/jhk/162021
 MLA 
Haischer, Michael et al. “Predicting Total Back Squat Repetitions from Repetition Velocity and Velocity Loss.” Journal of Human Kinetics, vol. 87, 2023, pp. 167-178. doi:10.5114/jhk/162021.
 Vancouver 
Haischer MH, Carzoli JP, Cooke DM, Pelland JC, Remmert JF, Zourdos MC. Predicting Total Back Squat Repetitions from Repetition Velocity and Velocity Loss. Journal of Human Kinetics. 2023;87:167-178. https://doi.org/10.5114/jhk/162021
Key words
resistance training, muscular endurance, strength, autoregulation

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