Sports Sciences Commons^™

Power Output, Cadence, And Torque Are Similar Between The Forward Standing And Traditional Sprint Cycling Positions, Paul F. J. Merkes, Paolo Menaspà, Chris R. Abbiss

Research outputs 2014 to 2021

Purpose:

Compare power output, cadence, and torque in the seated, standing, and forward standing cycling sprint positions.

Methods:

On three separated occasions (ie, one for each position), 11 recreational male road cyclists performed a 14 seconds sprint before and directly after a high-intensity lead-up. Power output, cadence, and torque were measured during each sprint. Results: No significant differences in peak and mean power output were observed between the forward standing (1125.5 ± 48.5 W and 896.0 ± 32.7 W, respectively) and either the seated or standing positions (1042.5 ± 46.8 W and 856.5 ± 29.4 W; 1175.4 ± 44.9 W …

Large Reductions In Match Play Physical Performance Variables Across A Professional Football Season With Control For Situational And Contextual Variables, Matthew Springham, Sean Williams, Mark Waldron, Darren Burgess, Robert Usher Newton

Research outputs 2014 to 2021

This investigation examined match play physical performance across a professional football season using a multicamera computerized tracking system. A linear mixed-effects model, controlling for situational and contextual variables, identified decreases in team average total distance (TD): season quarter 1 (Q1) (11,047 m) > season quarter 2 (Q2) (10,473 m) ( = ; ES = ), season quarter 3 (Q3) (10,449 m) ( < 0.001; ES = ), and season quarter 4 (Q4) (10,385 m) ( < 0.001; ES = ); work rate (WR): Q1 (115 m/min) > Q3 (108 m/min) ( < 0.001; ES = ), Q4 (107 m/min) ( < 0.001; ES = ); Q2 (109 m/min) > Q4 (107 m/min) ( = 0.003; ES = ); high-speed running distance (HSR): Q1 (1,051 m) > Q2 (813 m) ( = 0.006; ES = ); number of high-speed runs (NHSR): Q1 (87) > Q2 (65) ( …

Autoregulation In Resistance Training: Addressing The Inconsistencies, Leon Greig, Ben Hayden Stephens Hemingway, Rodrigo R. Aspe, Kay Cooper, Paul Comfort, Paul A. Swinton

Research outputs 2014 to 2021

© 2020, The Author(s). Autoregulation is a process that is used to manipulate training based primarily on the measurement of an individual’s performance or their perceived capability to perform. Despite being established as a training framework since the 1940s, there has been limited systematic research investigating its broad utility. Instead, researchers have focused on disparate practices that can be considered specific examples of the broader autoregulation training framework. A primary limitation of previous research includes inconsistent use of key terminology (e.g., adaptation, readiness, fatigue, and response) and associated ambiguity of how to implement different autoregulation strategies. Crucially, this ambiguity in …