Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology
The purpose of this study was to examine the reliability of load-velocity profiles (LVPs) and val... more The purpose of this study was to examine the reliability of load-velocity profiles (LVPs) and validity of 1-repetition maximum (1-RM) prediction methods in the back-squat using the novel Vitruve linear position transducer (LPT). Twenty-five men completed a back-squat 1-RM assessment followed by 2 LVP trials using five incremental loads (20%–40%–60%–80%–90% 1-RM). Mean propulsive velocity (MPV), mean velocity (MV) and peak velocity (PV) were measured via a (LPT). Linear and polynomial regression models were applied to the data. The reliability and validity criteria were defined a priori as intraclass correlation coefficient (ICC) or Pearson correlation coefficient ( r) > 0.70, coefficient of variation (CV) ≤10%, and effect size ( ES) <0.60. Bland-Altman analysis and heteroscedasticity of errors ( r2) were also assessed. The main findings indicated MPV, MV and PV were reliable across 20%–90% 1-RM (CV < 8.8%). The secondary findings inferred all prediction models had acceptabl...
Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology
The purpose of this study was to examine the reliability of load-velocity profiles (LVPs) and val... more The purpose of this study was to examine the reliability of load-velocity profiles (LVPs) and validity of 1-repetition maximum (1-RM) prediction methods in the back-squat using the novel Vitruve linear position transducer (LPT). Twenty-five men completed a back-squat 1-RM assessment followed by 2 LVP trials using five incremental loads (20%–40%–60%–80%–90% 1-RM). Mean propulsive velocity (MPV), mean velocity (MV) and peak velocity (PV) were measured via a (LPT). Linear and polynomial regression models were applied to the data. The reliability and validity criteria were defined a priori as intraclass correlation coefficient (ICC) or Pearson correlation coefficient ( r) > 0.70, coefficient of variation (CV) ≤10%, and effect size ( ES) <0.60. Bland-Altman analysis and heteroscedasticity of errors ( r2) were also assessed. The main findings indicated MPV, MV and PV were reliable across 20%–90% 1-RM (CV < 8.8%). The secondary findings inferred all prediction models had acceptabl...
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Papers by Shaun Joffe