Literature DB >> 28538309

Relative Load Prediction by Velocity and the OMNI-RES 0-10 Scale in Parallel Squat.

Fernando Naclerio1, Eneko Larumbe-Zabala.   

Abstract

This study analyzed the possibility of using movement velocity and the rate of perceived exertion as predictors of relative load in the parallel squat (PSQ) exercise. To determine the full load-velocity and load-rate of perceived exertion relationships, 290 young, resistance-trained athletes (209 males and 81 females) performed a progressive strength test up to the 1 repetition maximum. Longitudinal regression models were used to predict the relative load from the average velocity (AV) and the OMNI-RES 0-10 scale, considering sets as the time-related variable. Two adjusted predictive equations were developed from the association between the relative load and the AV or the rate of perceived exertion expressed after performing several sets of 1-3 repetitions during the progressive test. The resulting 2 models were capable of estimating the relative load with an accuracy of 79 and 86% for the AV (relative load [% 1 repetition maximum, RM] = 120.15-83.54 [AV]) and the exertion (relative load [% 1RM] = 5.07 + 9.63 [rate of perceived exertion]), respectively. The strong association between relative load with AV and the rate of perceived exertion supports the use of both predictive variables to estimate strength performance in PSQ.

Mesh:

Year:  2017        PMID: 28538309     DOI: 10.1519/JSC.0000000000001601

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


  9 in total

1.  Technical Note on Using the Movement Velocity to Estimate the Relative Load in Resistance Exercises - Letter to the Editor.

Authors:  Fernando Naclerio; Eneko Larumbe-Zabala
Journal:  Sports Med Int Open       Date:  2017-11-29

2.  Concurrent and Construct Validation of a New Scale for Rating Perceived Exertion during Elastic Resistance Training in The Elderly.

Authors:  Juan C Colado; Guilherme E Furtado; Ana M Teixeira; Jorge Flandez; Fernando Naclerio
Journal:  J Sports Sci Med       Date:  2020-02-24       Impact factor: 2.988

3.  Adding the Load Just Above Sticking Point Using Elastic Bands Optimizes Squat Performance, Perceived Effort Rate, and Cardiovascular Responses.

Authors:  Javier Gene-Morales; Andrés Gené-Sampedro; Rosario Salvador; Juan C Colado
Journal:  J Sports Sci Med       Date:  2020-11-19       Impact factor: 2.988

4.  The Effect of Rest Interval Length on Upper and Lower Body Exercises in Resistance-Trained Females.

Authors:  Desmond J Millender; Zachary A Mang; Jason R Beam; Rogelio A Realzola; Len Kravitz
Journal:  Int J Exerc Sci       Date:  2021-10-01

5.  Effects of squatting with elastic bands or conventional resistance-training equipment at different effort levels in post-exercise intraocular pressure of healthy men.

Authors:  Javier Gene-Morales; Andrés Gené-Sampedro; Rosario Salvador-Palmer; Juan C Colado
Journal:  Biol Sport       Date:  2021-11-10       Impact factor: 4.606

6.  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

7.  Influence of the Amount of Instability on the Leg Muscle Activity During a Loaded Free Barbell Half-Squat.

Authors:  Bernat Buscà; Joan Aguilera-Castells; Jordi Arboix-Alió; Adrià Miró; Azahara Fort-Vanmeerhaeghe; Javier Peña
Journal:  Int J Environ Res Public Health       Date:  2020-10-31       Impact factor: 3.390

Review 8.  The Implementation of Velocity-Based Training Paradigm for Team Sports: Framework, Technologies, Practical Recommendations and Challenges.

Authors:  Carlos Balsalobre-Fernández; Lorena Torres-Ronda
Journal:  Sports (Basel)       Date:  2021-03-30

Review 9.  Velocity-Based Resistance Training on 1-RM, Jump and Sprint Performance: A Systematic Review of Clinical Trials.

Authors:  Mateo Baena-Marín; Andrés Rojas-Jaramillo; Jhonatan González-Santamaría; David Rodríguez-Rosell; Jorge L Petro; Richard B Kreider; Diego A Bonilla
Journal:  Sports (Basel)       Date:  2022-01-04
  9 in total

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