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The linear regression model provides the force-velocity relationship parameters with the highest reliability.

Alejandro Pérez-Castilla1, Pierre Samozino2, Ivan Jukic3

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

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|April 4, 2022
PubMed
Summary

Linear regression models offer the most reliable force-velocity relationship parameters for bench press and bench press throw exercises. These models ensure consistent measurements of force-intercept, velocity-intercept, and maximum power across different sessions.

Keywords:
Training monitoringmulticentre reliability studymultiple-point methodmuscle capacitytwo-point method

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Area of Science:

  • Sports Science
  • Biomechanics
  • Exercise Physiology

Background:

  • The force-velocity relationship is crucial for understanding human movement and performance.
  • Accurate assessment of force-velocity parameters is essential for training and rehabilitation.
  • Between-session reliability of these parameters can be influenced by the chosen regression model.

Purpose of the Study:

  • To compare the between-session reliability of force-velocity relationship parameters (F, v, Pmax) using different regression models.
  • To evaluate reliability during bench press (BP) and bench press throw (BPT) exercises.
  • To identify the most reliable regression models for these parameters in specific exercises.

Main Methods:

  • A multicentre, a-posteriori reliability study was conducted.
  • Data from 102 participants for BP and 81 for BPT were analyzed.
  • Five regression models were used: linear multiple-point, linear two-point, quadratic polynomial, hyperbolic, and exponential.

Main Results:

  • Linear multiple-point and linear two-point models demonstrated acceptable reliability for F, v, and Pmax across both exercises.
  • Quadratic polynomial and hyperbolic models showed lower reliability for F (BPT), and the exponential model for Pmax (BP and BPT).
  • Linear models generally exhibited higher reliability than non-linear models, with no significant differences between linear multiple-point and two-point models.

Conclusions:

  • Linear regression models, specifically the linear multiple-point and linear two-point methods, are recommended for reliable assessment of force-velocity parameters.
  • These models ensure greater consistency in measuring force-intercept, velocity-intercept, and maximum power during bench press and bench press throw.
  • Choosing appropriate regression models is critical for accurate interpretation of force-velocity characteristics in strength and power assessments.