https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Physical performance during high-intensity resistance exercise in normoxic and hypoxic conditions https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26796 IO₂] 0.21), moderate-level hypoxia (F IO₂ 0.16), or high-level hypoxia (FIO₂ 0.13) by a portable hypoxic unit. Peak and mean force and power variables were monitored during exercise. Arterial oxygen saturation (SpO₂), heart rate (HR), and rating of perceived exertion (RPE) were assessed immediately following each set. No differences in force or power variables were evident between conditions. Similar trends were evident in these variables across each set and across the exercise session in each condition. SpO₂ was lower in hypoxic conditions than in NORM, whereas HR was higher following sets performed in hypoxia. There were no differences between conditions in RPE. These results indicate that a hypoxic stimulus during high-intensity resistance exercise does not alter physical performance during repetitions and sets or affect how strenuous exercise is perceived to be. This novel training strategy can be used without adversely affecting the physical training dose experienced and may provide benefits over the equivalent training in NORM.]]> Sat 24 Mar 2018 07:36:30 AEDT ]]> The 30-15 intermittent fitness test: can it predict outcomes in field tests of anaerobic performance? https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32765 IFT). Relationships between anaerobic tests and VIFT were quantified via Pearson product-moment correlations, and a 2-predictor model multiple linear regression estimated the predictive relationships between the exercise tests and the VIFT. Multiple linear regression showed that VIFT significantly predicted 56, 51, 44, 36, 12, and 1% of the variance in the 300-m shuttle, repeated sprint, 505- and 40-m sprint, vertical jump, and 10-m sprint tests, respectively. The 2-predictor model determined the 300-m shuttle, and repeated-sprint performance accounted for 67% of the variance in VIFT. These findings highlight that various anaerobic characteristics contribute to the intermittent fitness qualities that are quantified through VIFT. More specifically, these data indicate that VIFT is useful for tracking performance in tasks largely determined by anaerobic capacity, but may not be a good predictor of brief all-out sprinting and jumping efforts.]]> Mon 23 Jul 2018 12:49:17 AEST ]]>