Literature DB >> 29946968

Assessment of the two-point method applied in field conditions for routine testing of muscle mechanical capacities in a leg cycle ergometer.

Amador García-Ramos1,2, Milena Zivkovic3, Sasa Djuric3, Nikola Majstorovic3, Katarina Manovski3, Slobodan Jaric3,4,5.   

Abstract

PURPOSE: The aim of this study was to compare the reliability and magnitude of the force-velocity (F-V) relationship parameters [maximum force (F0), maximum velocity (V0), F-V slope, and maximum power (P0)] obtained through the application of only two loads (i.e., two-point method) vs. six loads (i.e., multiple-point method).
METHODS: Ten physically active men (age 19.5 ± 0.9 years, body mass 79.0 ± 9.0 kg, height 183.9 ± 8.4 cm) conducted four testing sessions after a preliminary familiarization session with the leg cycle ergometer exercise. In a counterbalanced order, subjects performed two sessions of the multiple-point method (six loads applied for the F-V modeling) over 1 week and two sessions of the two-point method (only the lightest and heaviest loads were applied) over another week.
RESULTS: The main findings revealed that (I) the reliability of the F-V relationship parameters was very high and generally of comparable magnitude for both the multiple- [coefficient of variation (CV) range 1.91-3.94%; intraclass correlation coefficient (ICC) range 0.72-0.99] and two-point methods [CV range 1.41-4.62%; ICC range 0.76-0.95], (II) the magnitude of the same parameters obtained from both methods was highly correlated (r > 0.80), and (III) the P0 assessed from the multiple-point method was significantly lower than the obtained from the two-point method [P = 0.041; effect size (ES) 0.36] due to a significant decrease in F0 (P = 0.039; ES 0.41) with no significant differences observed for V0 (P = 0.570; ES - 0.15).
CONCLUSIONS: These results support the two-point method as a reliable, valid, and fatigue-free procedure of assessing the muscle mechanical capacities through the F-V relationship.

Entities:  

Keywords:  Force–velocity relationship; Maximum force; Maximum power; Maximum velocity

Mesh:

Year:  2018        PMID: 29946968     DOI: 10.1007/s00421-018-3925-9

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


  23 in total

1.  Force-Velocity Relationship of Upper Body Muscles: Traditional Versus Ballistic Bench Press.

Authors:  Amador García-Ramos; Slobodan Jaric; Paulino Padial; Belén Feriche
Journal:  J Appl Biomech       Date:  2015-11-03       Impact factor: 1.833

2.  Optimum loading for maximizing muscle power output: the effect of training history.

Authors:  Nemanja Pazin; Predrag Bozic; Berjan Bobana; Aleksandar Nedeljkovic; Slobodan Jaric
Journal:  Eur J Appl Physiol       Date:  2011-02-02       Impact factor: 3.078

3.  Evaluation of force-velocity and power-velocity relationship of arm muscles.

Authors:  Sreten Sreckovic; Ivan Cuk; Sasa Djuric; Aleksandar Nedeljkovic; Dragan Mirkov; Slobodan Jaric
Journal:  Eur J Appl Physiol       Date:  2015-04-01       Impact factor: 3.078

4.  Selective Changes in the Mechanical Capacities of Lower-Body Muscles After Cycle-Ergometer Sprint Training Against Heavy and Light Resistances.

Authors:  Amador García-Ramos; Alejandro Torrejón; Alejandro Pérez-Castilla; Antonio J Morales-Artacho; Slobodan Jaric
Journal:  Int J Sports Physiol Perform       Date:  2018-02-28       Impact factor: 4.010

5.  Optimal Loading for Maximizing Power During Sled-Resisted Sprinting.

Authors:  Matt R Cross; Matt Brughelli; Pierre Samozino; Scott R Brown; Jean-Benoit Morin
Journal:  Int J Sports Physiol Perform       Date:  2017-01-04       Impact factor: 4.010

6.  Evaluation of Muscle Mechanical Capacities Through the Two-Load Method: Optimization of the Load Selection.

Authors:  Alejandro Pérez-Castilla; Slobodan Jaric; Belén Feriche; Paulino Padial; Amador García-Ramos
Journal:  J Strength Cond Res       Date:  2018-05       Impact factor: 3.775

7.  Evaluation of novel tests of neuromuscular function based on brief muscle actions.

Authors:  Predrag R Bozic; Ozgur Celik; Mehmet Uygur; Christopher A Knight; Slobodan Jaric
Journal:  J Strength Cond Res       Date:  2013-06       Impact factor: 3.775

8.  Effect of countermovement on power-force-velocity profile.

Authors:  Pedro Jiménez-Reyes; Pierre Samozino; Víctor Cuadrado-Peñafiel; Filipe Conceição; Juan José González-Badillo; Jean-Benoît Morin
Journal:  Eur J Appl Physiol       Date:  2014-07-22       Impact factor: 3.078

9.  A Novel Two-Velocity Method for Elaborate Isokinetic Testing of Knee Extensors.

Authors:  Vladimir Grbic; Sasa Djuric; Olivera M Knezevic; Dragan M Mirkov; Aleksandar Nedeljkovic; Slobodan Jaric
Journal:  Int J Sports Med       Date:  2017-08-02       Impact factor: 3.118

10.  Optimal Resistive Forces for Maximizing the Reliability of Leg Muscles' Capacities Tested on a Cycle Ergometer.

Authors:  Amador García-Ramos; Alejandro Torrejón; Antonio J Morales-Artacho; Alejandro Pérez-Castilla; Slobodan Jaric
Journal:  J Appl Biomech       Date:  2018-01-26       Impact factor: 1.833

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  1 in total

1.  Force-velocity profile during vertical jump cannot be assessed using only bodyweight jump and isometric maximal voluntary contraction tasks.

Authors:  Nejc Šarabon; Žiga Kozinc; Goran Marković
Journal:  Sci Rep       Date:  2020-11-05       Impact factor: 4.379

  1 in total

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