Literature DB >> 27669192

Reliability and Validity of the Load-Velocity Relationship to Predict the 1RM Back Squat.

Harry G Banyard1, Kazunori Nosaka, G Gregory Haff.   

Abstract

Banyard, HG, Nosaka, K, and Haff, GG. Reliability and validity of the load-velocity relationship to predict the 1RM back squat. J Strength Cond Res 31(7): 1897-1904, 2017-This study investigated the reliability and validity of the load-velocity relationship to predict the free-weight back squat one repetition maximum (1RM). Seventeen strength-trained males performed three 1RM assessments on 3 separate days. All repetitions were performed to full depth with maximal concentric effort. Predicted 1RMs were calculated by entering the mean concentric velocity of the 1RM (V1RM) into an individualized linear regression equation, which was derived from the load-velocity relationship of 3 (20, 40, 60% of 1RM), 4 (20, 40, 60, 80% of 1RM), or 5 (20, 40, 60, 80, 90% of 1RM) incremental warm-up sets. The actual 1RM (140.3 ± 27.2 kg) was very stable between 3 trials (ICC = 0.99; SEM = 2.9 kg; CV = 2.1%; ES = 0.11). Predicted 1RM from 5 warm-up sets up to and including 90% of 1RM was the most reliable (ICC = 0.92; SEM = 8.6 kg; CV = 5.7%; ES = -0.02) and valid (r = 0.93; SEE = 10.6 kg; CV = 7.4%; ES = 0.71) of the predicted 1RM methods. However, all predicted 1RMs were significantly different (p ≤ 0.05; ES = 0.71-1.04) from the actual 1RM. Individual variation for the actual 1RM was small between trials ranging from -5.6 to 4.8% compared with the most accurate predictive method up to 90% of 1RM, which was more variable (-5.5 to 27.8%). Importantly, the V1RM (0.24 ± 0.06 m·s) was unreliable between trials (ICC = 0.42; SEM = 0.05 m·s; CV = 22.5%; ES = 0.14). The load-velocity relationship for the full depth free-weight back squat showed moderate reliability and validity but could not accurately predict 1RM, which was stable between trials. Thus, the load-velocity relationship 1RM prediction method used in this study cannot accurately modify sessional training loads because of large V1RM variability.

Mesh:

Year:  2017        PMID: 27669192     DOI: 10.1519/JSC.0000000000001657

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  29 in total

1.  Concentric-Only Versus Touch-and-Go Bench Press One-Repetition Maximum in Men and Women.

Authors:  Amador García-Ramos; Danica Janicijevic; Ivan Jukic
Journal:  Sports Health       Date:  2021-02-05       Impact factor: 3.843

2.  The Effects of Set Structure Manipulation on Chronic Adaptations to Resistance Training: A Systematic Review and Meta-Analysis.

Authors:  Ivan Jukic; Bas Van Hooren; Amador García Ramos; Eric R Helms; Michael R McGuigan; James J Tufano
Journal:  Sports Med       Date:  2021-01-08       Impact factor: 11.136

Review 3.  Training for Muscular Strength: Methods for Monitoring and Adjusting Training Intensity.

Authors:  Timothy J Suchomel; Sophia Nimphius; Christopher R Bellon; W Guy Hornsby; Michael H Stone
Journal:  Sports Med       Date:  2021-06-08       Impact factor: 11.928

4.  Comparison of Different Minimal Velocity Thresholds to Establish Deadlift One Repetition Maximum.

Authors:  Jason Lake; David Naworynsky; Freddie Duncan; Matt Jackson
Journal:  Sports (Basel)       Date:  2017-09-19

5.  Increases in Variation of Barbell Kinematics Are Observed with Increasing Intensity in a Graded Back Squat Test.

Authors:  Kevin M Carroll; Kimitake Sato; Caleb D Bazyler; N Travis Triplett; Michael H Stone
Journal:  Sports (Basel)       Date:  2017-07-14

6.  The impact of test loads on the accuracy of 1RM prediction using the load-velocity relationship.

Authors:  Mark G L Sayers; Michel Schlaeppi; Marina Hitz; Silvio Lorenzetti
Journal:  BMC Sports Sci Med Rehabil       Date:  2018-05-29

7.  Four weeks of augmented eccentric loading using a novel leg press device improved leg strength in well-trained athletes and professional sprint track cyclists.

Authors:  Mellissa Harden; Alex Wolf; Martin Evans; Kirsty Marie Hicks; Kevin Thomas; Glyn Howatson
Journal:  PLoS One       Date:  2020-07-29       Impact factor: 3.240

8.  The Reliability and Validity of Current Technologies for Measuring Barbell Velocity in the Free-Weight Back Squat and Power Clean.

Authors:  Steve W Thompson; David Rogerson; Harry F Dorrell; Alan Ruddock; Andrew Barnes
Journal:  Sports (Basel)       Date:  2020-06-30

9.  Cluster sets vs. traditional sets: Levelling out the playing field using a power-based threshold.

Authors:  James J Tufano; Matej Halaj; Tomas Kampmiller; Adrian Novosad; Gabriel Buzgo
Journal:  PLoS One       Date:  2018-11-26       Impact factor: 3.240

10.  Analysis of Wearable and Smartphone-Based Technologies for the Measurement of Barbell Velocity in Different Resistance Training Exercises.

Authors:  Carlos Balsalobre-Fernández; David Marchante; Eneko Baz-Valle; Iván Alonso-Molero; Sergio L Jiménez; Mario Muñóz-López
Journal:  Front Physiol       Date:  2017-08-28       Impact factor: 4.566

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.