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Assessing Reliability in Flywheel Squat Performance: The Role of Sex and Inertial Load.
Priscila Torrado1, Michel Marina1, Jorge Salse-Batán1
1Research Group in Physical Activity and Health (GRAFAiS), Institut Nacional d'Educació Física de Catalunya (INEFC), Universitat de Barcelona (UB), 08038 Barcelona, Spain.
Flywheel half-squat performance demonstrates excellent reliability for both males and females across various inertial loads. Sex and inertia interactions influence power outcomes, emphasizing their importance in performance profiling.
Area of Science:
- Sports Science
- Biomechanics
- Human Performance
Background:
- Within-session reliability is crucial for accurate performance assessment in strength and conditioning.
- Understanding how sex and inertial load affect reliability is vital for individualized training programs.
Purpose of the Study:
- To investigate the impact of sex and inertial load on the reliability of flywheel half-squat performance metrics.
- To determine the sensitivity of various performance outcomes to changes in inertia and sex.
Main Methods:
- 21 males and 25 females completed two sets of six repetitions at four different inertial loads.
- Measured outcomes included mean force, mean and peak power, impulse, and work during concentric and eccentric phases.
- Calculated reliability using intraclass correlation coefficient (ICC), coefficient of variation (CV), and typical error (TE) versus smallest worthwhile change (SWC).
Main Results:
- Excellent between-set reliability (ICC > 0.803 for males, > 0.946 for females) was observed across all variables, loads, and contraction phases.
- Coefficient of variation (CV) values were consistently good (≤9%) for all variables.
- Significant interactions between inertia and sex were found for power-related variables, indicating sex-specific responses to different inertial loads.
Conclusions:
- Flywheel half-squat performance exhibits excellent within-session reliability for both sexes across all tested inertial loads and contraction phases.
- Inertial load configuration and sex differences are important considerations when interpreting performance data and profiling athletes.
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