Literature DB >> 27577950

1RM prediction: a novel methodology based on the force-velocity and load-velocity relationships.

Pietro Picerno1, Danilo Iannetta2, Stefania Comotto2, Marco Donati3, Fabrizio Pecoraro4, Mounir Zok5, Giorgio Tollis6, Marco Figura3, Carlo Varalda7, Davide Di Muzio2, Federica Patrizio2, Maria Francesca Piacentini2.   

Abstract

PURPOSE: This study aimed to evaluate the accuracy of a novel approach for predicting the one-repetition maximum (1RM). The prediction is based on the force-velocity and load-velocity relationships determined from measured force and velocity data collected during resistance-training exercises with incremental submaximal loads. 1RM was determined as the load corresponding to the intersection of these two curves, where the gravitational force exceeds the force that the subject can exert.
METHODS: The proposed force-velocity-based method (FVM) was tested on 37 participants (23.9 ± 3.1 year; BMI 23.44 ± 2.45) with no specific resistance-training experience, and the predicted 1RM was compared to that achieved using a direct method (DM) in chest-press (CP) and leg-press (LP) exercises.
RESULTS: The mean 1RM in CP was 99.5 kg (±27.0) for DM and 100.8 kg (±27.2) for FVM (SEE = 1.2 kg), whereas the mean 1RM in LP was 249.3 kg (±60.2) for DM and 251.1 kg (±60.3) for FVM (SEE = 2.1 kg). A high correlation was found between the two methods for both CP and LP exercises (0.999, p < 0.001). Good agreement between the two methods emerged from the Bland and Altman plot analysis.
CONCLUSION: These findings suggest the use of the proposed methodology as a valid alternative to other indirect approaches for 1RM prediction. The mathematical construct is simply based on the definition of the 1RM, and it is fed with subject's muscle strength capacities measured during a specific exercise. Its reliability is, thus, expected to be not affected by those factors that typically jeopardize regression-based approaches.

Entities:  

Keywords:  Force–velocity relationship; Muscle strength assessment; One-repetition maximum; Resistance training

Mesh:

Year:  2016        PMID: 27577950     DOI: 10.1007/s00421-016-3457-0

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  21 in total

1.  Prediction of 1 repetition maximum in high-school power lifters.

Authors:  Len Kravitz; Cengiz Akalan; Kenneth Nowicki; Stephen J Kinzey
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2.  Effect of different pushing speeds on bench press.

Authors:  J Padulo; P Mignogna; S Mignardi; F Tonni; S D'Ottavio
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3.  Comparison of velocity and power output data derived from an inertial based system and an optical encoder during squat lifts in a weight room setting.

Authors:  R Squadrone; R Rodano; E Preatoni
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4.  One-repetition maximum bench press performance estimated with a new accelerometer method.

Authors:  Jari-Pekka Rontu; Manne I Hannula; Sami Leskinen; Vesa Linnamo; Jukka A Salmi
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5.  Effect of loading on unintentional lifting velocity declines during single sets of repetitions to failure during upper and lower extremity muscle actions.

Authors:  M Izquierdo; J J González-Badillo; K Häkkinen; J Ibáñez; W J Kraemer; A Altadill; J Eslava; E M Gorostiaga
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6.  Muscular endurance repetitions to predict bench press strength in men of different training levels.

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7.  Prediction of one repetition maximum strength from multiple repetition maximum testing and anthropometry.

Authors:  Jeff M Reynolds; Toryanno J Gordon; Robert A Robergs
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8.  A modified YMCA bench press test as a predictor of 1 repetition maximum bench press strength.

Authors:  Paul S Kim; Jerry L Mayhew; D Fred Peterson
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9.  Effect of Different Interrepetition Rest Periods on Barbell Velocity Loss During the Ballistic Bench Press Exercise.

Authors:  Amador García-Ramos; Paulino Padial; G Gregory Haff; Javier Argüelles-Cienfuegos; Miguel García-Ramos; Javier Conde-Pipó; Belén Feriche
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10.  The importance of movement velocity as a measure to control resistance training intensity.

Authors:  Juan J González-Badillo; Mário C Marques; Luis Sánchez-Medina
Journal:  J Hum Kinet       Date:  2011-10-04       Impact factor: 2.193

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2.  Predictive Validity of the Snatch Pull Force-Velocity Profile to Determine the Snatch One Repetition-Maximum in Male and Female Elite Weightlifters.

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3.  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

4.  Assessment of the load-velocity profile in the free-weight prone bench pull exercise through different velocity variables and regression models.

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5.  Reliability and Criterion Validity of the Assess2Perform Bar Sensei.

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6.  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

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

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8.  Reliability and validity of the multi-point method and the 2-point method's variations of estimating the one-repetition maximum for deadlift and back squat exercises.

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9.  The effects of training with loads that maximise power output and individualised repetitions vs. traditional power training.

Authors:  J M Sarabia; M Moya-Ramón; J L Hernández-Davó; J Fernandez-Fernandez; R Sabido
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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

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