Literature DB >> 30958044

Precision of 7 Commercially Available Devices for Predicting Bench-Press 1-Repetition Maximum From the Individual Load-Velocity Relationship.

Alejandro Pérez-Castilla, Antonio Piepoli, Gabriel Garrido-Blanca, Gabriel Delgado-García, Carlos Balsalobre-Fernández, Amador García-Ramos.   

Abstract

OBJECTIVE: To compare the accuracy of different devices to predict the bench-press 1-repetition maximum (1RM) from the individual load-velocity relationship modeled through the multiple- and 2-point methods.
METHODS: Eleven men performed an incremental test on a Smith machine against 5 loads (45-55-65-75-85%1RM), followed by 1RM attempts. The mean velocity was simultaneously measured by 1 linear velocity transducer (T-Force), 2 linear position transducers (Chronojump and Speed4Lift), 1 camera-based optoelectronic system (Velowin), 2 inertial measurement units (PUSH Band and Beast Sensor), and 1 smartphone application (My Lift). The velocity recorded at the 5 loads (45-55-65-75-85%1RM), or only at the 2 most distant loads (45-85%1RM), was considered for the multiple- and 2-point methods, respectively.
RESULTS: An acceptable and comparable accuracy in the estimation of the 1RM was observed for the T-Force, Chronojump, Speed4Lift, Velowin, and My Lift when using both the multiple- and 2-point methods (effect size ≤ 0.40; Pearson correlation coefficient [r] ≥ .94; standard error of the estimate [SEE] ≤ 4.46 kg), whereas the accuracy of the PUSH (effect size = 0.70-0.83; r = .93-.94; SEE = 4.45-4.80 kg), and especially the Beast Sensor (effect size = 0.36-0.84; r = .50-.68; SEE = 9.44-11.2 kg), was lower.
CONCLUSIONS: These results highlight that the accuracy of 1RM prediction methods based on movement velocity is device dependent, with the inertial measurement units providing the least accurate estimate of the 1RM.

Entities:  

Keywords:  camera-based optoelectronic system; inertial measurement units; linear position transducer; maximum dynamic strength; smartphone application

Year:  2019        PMID: 30958044     DOI: 10.1123/ijspp.2018-0801

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


  8 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.  Video-Based System for Automatic Measurement of Barbell Velocity in Back Squat.

Authors:  Basilio Pueo; Jose J Lopez; Jose M Mossi; Adrian Colomer; Jose M Jimenez-Olmedo
Journal:  Sensors (Basel)       Date:  2021-01-30       Impact factor: 3.576

3.  Effects of subjective and objective autoregulation methods for intensity and volume on enhancing maximal strength during resistance-training interventions: a systematic review.

Authors:  Stian Larsen; Eirik Kristiansen; Roland van den Tillaar
Journal:  PeerJ       Date:  2021-01-12       Impact factor: 2.984

4.  Differences between adjusted vs. non-adjusted loads in velocity-based training: consequences for strength training control and programming.

Authors:  Pedro Jiménez-Reyes; Adrian Castaño-Zambudio; Víctor Cuadrado-Peñafiel; Jorge M González-Hernández; Fernando Capelo-Ramírez; Luis M Martínez-Aranda; Juan J González-Badillo
Journal:  PeerJ       Date:  2021-03-23       Impact factor: 2.984

5.  Validity and Reliability of Mobile Applications for Assessing Strength, Power, Velocity, and Change-of-Direction: A Systematic Review.

Authors:  Rui Silva; Markel Rico-González; Ricardo Lima; Zeki Akyildiz; José Pino-Ortega; Filipe Manuel Clemente
Journal:  Sensors (Basel)       Date:  2021-04-08       Impact factor: 3.576

6.  Group versus Individualised Minimum Velocity Thresholds in the Prediction of Maximal Strength in Trained Female Athletes.

Authors:  Elias J G Caven; Tom J E Bryan; Amelia F Dingley; Benjamin Drury; Amador Garcia-Ramos; Alejandro Perez-Castilla; Jorge Arede; John F T Fernandes
Journal:  Int J Environ Res Public Health       Date:  2020-10-26       Impact factor: 3.390

7.  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

8.  A Novel Approach to 1RM Prediction Using the Load-Velocity Profile: A Comparison of Models.

Authors:  Steve W Thompson; David Rogerson; Alan Ruddock; Leon Greig; Harry F Dorrell; Andrew Barnes
Journal:  Sports (Basel)       Date:  2021-06-22
  8 in total

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