Does a Single Measurement of the Optimal Minimum Velocity Threshold Enable Accurate One-Repetition Maximum Estimations Over Time? The Effect of Training and Detraining

Afonso Fitas , Paulo Santos , Pedro Pezarat-Correia , Goncalo V. Mendonca

Journal of Science in Sport and Exercise ›› : 1 -9.

PDF
Journal of Science in Sport and Exercise ›› :1 -9. DOI: 10.1007/s42978-025-00351-x
Original Article
research-article

Does a Single Measurement of the Optimal Minimum Velocity Threshold Enable Accurate One-Repetition Maximum Estimations Over Time? The Effect of Training and Detraining

Author information +
History +
PDF

Abstract

The optimal minimum velocity threshold (MVT) exhibits a higher one-repetition maximum (1RM) estimation accuracy than the actual MVT. Despite this, its long-term predictive capacity has not been addressed. This study aimed to evaluate the accuracy of using a single pre-training measurement of the optimal MVT to estimate the free-weight back squat 1RM across different training statuses. Methods: Ten untrained male participants underwent 6 weeks of resistance training followed by 6 weeks of detraining, with 1RM estimations computed at different time points (T0 – untrained, T6 – trained and DET – detrained). The 1RM estimations were computed based on the load-velocity relationship (LVR) obtained at each specific time point, combined with the pre-training optimal MVT. Results: The optimal-MVT derived estimations were not equivalent to the actual 1RM values in either time point (actual 1RM: 103.9 ± 13.2, 129.8 ± 15.0, 116.8 ± 16.2 kg at T0, T6 and DET, respectively; absolute percent errors of ~ 6.5%). However, by performing a participant-by-participant assessment, equivalent estimations occurred for more than 50% of the sample, regardless of time point or training status. Conclusion: This method can be used to prescribe precise strength-training oriented prescriptions. However, coaches and practitioners ought to be cautious about systematic misestimations, which can be minimized by inserting a different velocity value (from the typically observed average optimal MVT values) on the LVR. In addition, the method confidently falls within hypertrophic loading ranges, offering a practical approach for autoregulation over time in previously untrained individuals.

Keywords

Velocity-based training / One-repetition maximum / Resistance training

Cite this article

Download citation ▾
Afonso Fitas, Paulo Santos, Pedro Pezarat-Correia, Goncalo V. Mendonca. Does a Single Measurement of the Optimal Minimum Velocity Threshold Enable Accurate One-Repetition Maximum Estimations Over Time? The Effect of Training and Detraining. Journal of Science in Sport and Exercise 1-9 DOI:10.1007/s42978-025-00351-x

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Banyard HG, Nosaka K, Haff GG. Reliability and validity of the load-velocity relationship to predict the 1RM back squat. J Strength Cond Res, 2017, 31(7): 1897-1904.

[2]

Bland JM, Altman DG. Measuring agreement in method comparison studies. Stat Methods Med Res, 1999, 8(2): 135-160.

[3]

Chen Z, Xiao F, Mao Y, Zhang X, García-Ramos A. An efficient and accurate approach for estimating the free-weight back squat 1-repetition maximum based on the 2-point method and optimal minimal velocity threshold. J Strength Cond Res, 2024, 39(4): e530-e537.

[4]

Cohen J. Statistical power analysis for the behavioral sciences. Cambridge: Academic Press; 2013. https://doi.org/10.4324/9780203771587.

[5]

Dello Stritto E, Romagnoli R, Nocchi M, Piacentini MF. How does load selection and sex influence 1RM prediction using the minimal velocity threshold during free-weight back squat. Sports, 2025, 13: 224.

[6]

Dello Fitas E, Gomes R, Santos M, Gonçalves MF, Pezarat-Correia P, Mendonca GV. Optimal minimum-velocity threshold to predict one-repetition maximum for the back squat. Int J Sports Med, 2024, 45: 923-929.

[7]

Fitas A, Gomes M, Santos P, Pezarat-Correia P, García-Ramos A, Mendonca GV. Average optimal minimum velocity threshold: a practical variable to increase the accuracy of one-repetition maximum estimation during the free-weight back squat. J Sports Sci, 2024, 42(18): 1767-1775.

[8]

Fitas A, Santos P, Gomes M, Pezarat-Correia P, Schoenfeld BJ, Mendonca GV. Prediction of one repetition maximum in free-weight back squat using a mixed approach: the combination of the individual load-velocity profile and generalized equations. J Strength Cond Res, 2023, 38(2): 228-235.

[9]

Fitas A, Santos P, Gomes M, Pezarat-Correia P, Mendonca GV. Influence of sex and strength differences on the load–velocity relationship of the Smith-machine back squat. Sport Sci Health, 2024, 20: 87-96.

[10]

Fitas A, Santos P, Gomes M, Pezarat-Correia P, Vila-Chã C, Mendonca GV. General minimum velocity threshold for one-repetition maximum prediction in two squat variations: does the load–velocity profiling approach matter?. Sport Sci Health, 2024, 20: 1253-1261.

[11]

García Ramos A. Resistance training intensity prescription methods based on lifting velocity monitoring. Int J Sports Med, 2024, 45(4): 257-266.

[12]

García-Ramos A. Optimal minimum velocity threshold to estimate the 1-repetition maximum: the case of the smith machine bench press exercise. Int J Sports Physiol Perform, 2023, 18: 393-401.

[13]

García-Ramos A. The 2-point method: theoretical basis, methodological considerations, experimental support, and its application under field conditions. Int J Sports Physiol Perform, 2023, 18: 1-9.

[14]

Giavarina D. Understanding bland altman analysis. Biochem Med (Zagreb), 2015, 25: 141-151.

[15]

Gomes M, Fitas A, Santos P, Pezarat-Correia P, Mendonca GV. Validation of a single-session protocol to determine the load-velocity profile and one-repetition maximum for the back squat exercise. J Strength Cond Res, 2024, 38(6): 1013-1018.

[16]

Greig L, Aspe RR, Hall A, Comfort P, Cooper K, Swinton PA. The predictive validity of individualised load-velocity relationships for predicting 1RM: a systematic review and individual participant data meta-analysis. Sports Med, 2023, 53(9): 1693-1708.

[17]

Hooper DR, Szivak TK, Comstock BA, Dunn-Lewis C, Apicella JM, Kelly NA, Creighton BC, Flanagan SD, Looney DP, Volek JS, Maresh CM, Kraemer WJ. Effects of fatigue from resistance training on barbell back squat biomechanics. J Strength Cond Res, 2014, 28(4): 1127-1134.

[18]

Hughes LJ, Banyard HG, Dempsey AR, Scott BR. Using a load-velocity relationship to predict one repetition maximum in free-weight exercise: a comparison of the different methods. J Strength Cond Res, 2019, 33(9): 2409-2419.

[19]

Iglesias-Soler E, Rial-Vázquez J, Boullosa D, Mayo X, Fariñas J, Rúa-Alonso M, Santos L. Load-velocity profiles change after training programs with different set configurations. Int J Sports Med, 2021, 42(9): 794-802.

[20]

Kang H. Sample size determination and power analysis using the G*Power software. J Educ Eval Health Prof, 2021, 18: 17.

[21]

Lasevicius T, Ugrinowitsch C, Schoenfeld BJ, Roschel H, Tavares LD, De Souza EO, Laurentino G, Tricoli V. Effects of different intensities of resistance training with equated volume load on muscle strength and hypertrophy. Eur J Sport Sci, 2018, 18(6): 772-780.

[22]

Marston KJ, Forrest MRL, Teo SYM, Mansfield SK, Peiffer JJ, Scott BR. Load-velocity relationships and predicted maximal strength: a systematic review of the validity and reliability of current methods. PLoS ONE, 2022, 17(10): e0267937.

[23]

Mendonca GV, Fitas A, Santos P, Gomes M, Pezarat-Correia P. Predictive equations to estimate relative load based on movement velocity in males and females: accuracy of estimation for the smith machine concentric back squat. J Strength Cond Res, 2023, 37(8): 1559-1565.

[24]

Mendonca GV, Diogo AL, Fitas A, Pezarat-Correia P. Minimum velocity threshold in response to the free-weight back squat: reliability and validity of different submaximal loading schemes. Eur J Appl Physiol, 2024, 124(10): 2909-2922.

[25]

Nevill AM, Atkinson G. Assessing agreement between measurements recorded on a ratio scale in sports medicine and sports science. Br J Sports Med, 1997, 31(4): 314-318.

[26]

Pérez-Castilla A, García-Ramos A. Changes in the load-velocity profile following power- and strength-oriented resistance-training programs. Int J Sports Physiol Perform, 2020, 15: 1460-1466.

[27]

Pérez-Castilla AP, Piepoli A, Delgado-García G, Garrido-Blanca G, García-Ramos A. Reliability and concurrent validity of seven commercially available devices for the assessment of movement velocity at different intensities during the bench press. J Strength Cond Res., 2019, 33(5): 1258-1265.

[28]

Sousa CA, Zourdos MC, Storey AG, Helms ER. The importance of recovery in resistance training microcycle construction. J Hum Kinet, 2024, 91: 205.

[29]

Thompson SW, Rogerson D, Ruddock A, Greig L, Dorrell HF, Barnes A. A novel approach to 1RM prediction using the load-velocity profile: a comparison of models. Sports (Basel), 2021, 9(7): 88.

[30]

Torrejón A, Balsalobre-Fernández C, Haff GG, García-Ramos A. The load-velocity profile differs more between men and women than between individuals with different strength levels. Sports (Basel), 2018, 18(3): 245-255.

[31]

Weakley J, Mann B, Banyard H, McLaren S, Scott T, Garcia-Ramos A. Velocity-based training: from theory to application. Strength Cond J, 2021, 43(2): 31-49.

RIGHTS & PERMISSIONS

Beijing Sport University

PDF

23

Accesses

0

Citation

Detail

Sections
Recommended

/