Literature DB >> 33771947

Bench Press 1-Repetition Maximum Estimation Through the Individualized Load-Velocity Relationship: Comparison of Different Regression Models and Minimal Velocity Thresholds.

Danica Janicijevic, Ivan Jukic, Jonathon Weakley, Amador García-Ramos.   

Abstract

PURPOSE: To compare the accuracy of nine 1-repetition maximum (1RM) prediction methods during the paused and touch-and-go bench press exercises performed in a Smith machine.
METHOD: A total of 86 men performed 2 identical sessions (incremental loading test until reaching the 1RM followed by a set to failure) in a randomized order during the paused and touch-and-go bench press exercises. Individualized load-velocity relationships were modeled by linear and polynomial regression models considering 4 loads (45%-60%-75%-90% of 1RM) (multiple-point methods) and considering only 2 loads (45%-90% of 1RM) by a linear regression (2-point method). Three minimal velocity thresholds were used: the general velocity of 0.17 m·s-1 (general velocity of the 1RM [V1RM]), the velocity obtained when lifting the 1RM load (individual V1RM), and the velocity obtained during the last repetition of a set to failure.
RESULTS: The 1RM prediction methods were generally valid (range: r = .96-.99, standard error of the estimate = 2.8-4.9 kg or 4.6%-8.0% of 1RM). The multiple-point linear method (2.79 [2.29] kg) was more precise than the multiple-point polynomial method (3.54 [3.31] kg; P = .013), but no significant differences were observed when compared with the 2-point method (3.09 [2.66] kg, P = .136). The velocity of the last repetition of a set to failure (3.47 [2.97] kg) was significantly less precise than the individual V1RM (2.91 [2.75] kg, P = .009) and general V1RM (3.00 [2.65] kg, P = .010).
CONCLUSIONS: Linear regression models and a general minimal velocity threshold of 0.17 m·s-1 should be recommended to obtain a quick and precise estimation of the 1RM during the bench press exercise performed in a Smith machine.

Entities:  

Keywords:  2-point method; linear position transducer; maximum dynamic strength; multiple-point method; velocity-based training.

Mesh:

Year:  2021        PMID: 33771947     DOI: 10.1123/ijspp.2020-0312

Source DB:  PubMed          Journal:  Int J Sports Physiol Perform        ISSN: 1555-0265            Impact factor:   4.010


  3 in total

1.  Accuracy of Predicting One-Repetition Maximum from Submaximal Velocity in The Barbell Back Squat and Bench Press.

Authors:  Christian T Macarilla; Nicholas M Sautter; Zac P Robinson; Matthew C Juber; Landyn M Hickmott; Rebecca M Cerminaro; Brian Benitez; Joseph P Carzoli; Caleb D Bazyler; Robert F Zoeller; Michael Whitehurst; Michael C Zourdos
Journal:  J Hum Kinet       Date:  2022-04-26       Impact factor: 2.923

2.  Use of Machine-Learning and Load-Velocity Profiling to Estimate 1-Repetition Maximums for Two Variations of the Bench-Press Exercise.

Authors:  Carlos Balsalobre-Fernández; Kristof Kipp
Journal:  Sports (Basel)       Date:  2021-03-16

3.  Prediction of One Repetition Maximum Using Reference Minimum Velocity Threshold Values in Young and Middle-Aged Resistance-Trained Males.

Authors:  John F T Fernandes; Amelia F Dingley; Amador Garcia-Ramos; Alejandro Perez-Castilla; James J Tufano; Craig Twist
Journal:  Behav Sci (Basel)       Date:  2021-05-07
  3 in total

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