Load-Velocity Relationship Variables to Assess the Maximal Neuromuscular Capacities During the Back-Squat Exercise

Author:

Pérez-Castilla Alejandro1,Jukic Ivan2,Janicijevic Danica345,Akyildiz Zeki6,Senturk Deniz7,García-Ramos Amador18

Affiliation:

1. Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain

2. Sport Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand

3. University of Belgrade, Faculty of Sport and Physical Education, The Research Centre, Belgrade, Serbia

4. Research Academy of Human Biomechanics, The Affiliated Hospital of Medical School of Ningbo University, Ningbo University, Ningbo, China

5. Faculty of Sports Science, Ningbo University, Ningbo, China

6. Movement and Training Science Department, Gazi University, Ankara, Turkey

7. Sports Department, School of Physical Education, Gelişim University, Istanbul, Turkey

8. Department of Sports Sciences and Physical Conditioning, Faculty of Education, Universidad Católica de la Santísima Concepción, Concepción, Chile

Abstract

Background: The relationship between the external load lifted and movement velocity can be modeled by a simple linear regression, and the variables derived from the load-velocity (L-V) relationship were recently used to estimate the maximal neuromuscular capacities during 2 variants of the back-squat exercise. Hypothesis: The L-V relationship variables will be highly reliable and will be highly associated with the traditional tests commonly used to evaluate the maximal force and power. Study Design: Twenty-four male wrestlers performed 5 testing sessions (a 1-repetition maximum [1RM] session, and 4 experimental sessions [2 with the concentric-only back-squat and 2 with the eccentric-concentric back-squat]). Each experimental session consisted of performing 3 repetitions against 5 loads (45%-55%-65%-75%-85% of the 1RM), followed by single 1RM attempts. Level of Evidence: Level 3. Methods: Individual L-V relationships were modeled from the mean velocity collected under all loading conditions from which the following 3 variables were calculated: load-axis intercept ( L0), velocity-axis intercept ( v0), and area under the line ( Aline = L0· v0/2). The back-squat 1RM strength and the maximum power determined as the apex of the power-velocity relationship ( Pmax) were also determined as traditional measures of maximal force and power capacities, respectively. Results: The between-session reliability was high for the Aline (coefficient of variation [CV] range = 2.58%-4.37%; intraclass correlation coefficient [ICC] range = 0.98-0.99) and generally acceptable for L0 and v0 (CV range = 5.08%-9.01%; ICC range = 0.45-0.96). Regarding the concurrent validity, the correlations were very large between L0 and the 1RM strength ( rrange = 0.87-0.88) and nearly perfect between Aline and Pmax ( r = 0.98-0.99). Conclusion: The load-velocity relationship variables can be obtained with a high reliability ( L0, v0, and Aline) and validity ( L0 and Aline) during the back-squat exercise. Clinical Relevance: The load-velocity relationship modeling represents a quick and simple procedure to estimate the maximal neuromuscular capacities of lower-body muscles.

Funder

Centro Mixto Universidad de Granada – Mando de Adiestramiento y Doctrina

Publisher

SAGE Publications

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine

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