https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 Temporal distribution of peak running demands relative to match minutes in elite football https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52894 19.8 km·h-1) (HSD) and average acceleration (AveAcc)], with the in-game commencement time of the peak running demands recorded. Descriptive statistics and normality were calculated for each rolling average duration, with the self-containment of shorter rolling average epochs within longer epochs also assessed (e.g. Do the 1 min peak running demands occur within the 10 min peak running demands). Peak TD and AveAcc demands occurred early in each half (median time = 7–17 min and 6–16 min, respectively). Conversely, peak HSD covered was uniformly distributed (Skewness = 0–0.5, Kurtosis = 1.7–2.0). There were low-moderate levels of self-containment for each peak match running period (10–51%), dependent upon metric. Peak match running demands for TD and AveAcc occurred at similar stages of a match where TD and acceleration volumes are typically greatest, whereas peak HSD demands appeared more unpredictable. These timings may help inform training prescriptions in preparation of athletes for competition.]]> Tue 31 Oct 2023 15:46:29 AEDT ]]> No physiological or biomechanical sex-by-load interactions during treadmill-based load carriage https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41022  .05) and there were no significant sex-by-load interactions for any variables. Absolute VO2 and VCO2 were greater in males (difference 175–178 mL·min−1, p < .001), however, when relative to body mass, VO2 was similar between sexes (p > .05). Across all loads, cadence was 7 ± 2 steps·min−1 faster (p = .004) and stance time was 0.06 ± 0.02 s shorter (p = .013) in females. Increasing load resulted in greater physiological demand, cadence, % stance time, and step length (p < .05).]]> Thu 21 Jul 2022 12:15:28 AEST ]]> Treadmill load carriage overestimates energy expenditure of overground load carriage https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42702 Thu 01 Sep 2022 09:41:25 AEST ]]> Validity and between-unit agreement of commercially-available linear position transducer and inertial sensor devices during loaded countermovement jumps https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44844 Mon 24 Oct 2022 10:13:30 AEDT ]]> Peak match acceleration demands differentiate between elite youth and professional football players https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52709 19.8 km·h-1] and average acceleration. Linear mixed models and effect sizes identified differences between competition levels. No differences existed between competition levels for any total match physical performance metric. Peak total and high-speed distances demands were similar between competitions for all moving average durations. Interestingly, peak average acceleration demands were lower (SMD = 0.63–0.69) in the youth players across all moving average durations. The data suggest that the development of acceleration and repeat effort capacities is crucial in youth players for them to transition into professional competition.]]> Mon 23 Oct 2023 16:12:48 AEDT ]]> Between-match variation of peak match running intensities in elite football https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46252 19.8 km · h-1) running distances and average acceleration (m · s-2), expressed relative to time. For each metric, the coefficient of variation and smallest worthwhile difference were calculated. The peak match running intensity data was similar to previously reported data from various football competitions. The between-match CV of relative total distance ranged between 6.8–7.3%, with the CV for average acceleration and relative high-speed running being 5.4–5.8% and 20.6–29.8%, respectively. The greater variability observed for relative high-speed running is likely reflective of the varying constraints and contextual factors that differ between matches. The reported between-match variability helps to provide context when interpreting match performance and prescribing training drills using peak match running intensity data.]]> Mon 14 Nov 2022 13:36:00 AEDT ]]> Positional and temporal differences in peak match running demands of elite football https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53065 19.8 km· h−1] and average acceleration). Players were categorised based on positional groups: attacking midfielder (AM), central defender (CD), defensive midfielder (DM), striker (STR), wide defender (WD) and winger (WNG). Linear mixed models and effect sizes were used to identify differences between positional groups and halves. Peak running demands were lower in the second half for STR across all three reported metrics (ES = 0.60–0.84), with peak average acceleration lower in the second half for DM, WD and WNG (ES = 0.60–0.70). Irrespective of match half, AM covered greater peak total distances than CD, STR, WD and WIN (ES = 0.60–2.08). Peak high-speed distances were greater across both halves for WIN than CD, DM and STR (ES = 0.78–1.61). Finally, STR had lower peak average acceleration than all positional groups across both halves (ES = 0.60–1.12). These results may help evaluate implemented strategies that attempt to mitigate reductions in second half running performance and inform position specific training practices.]]> Fri 17 Nov 2023 11:45:12 AEDT ]]>