https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28767 Wed 11 Apr 2018 12:43:48 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54641 Wed 06 Mar 2024 18:47:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49658 Thu 25 May 2023 16:15:33 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20981 Sat 24 Mar 2018 07:54:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25717 Sat 24 Mar 2018 07:33:30 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32765 IFT). Relationships between anaerobic tests and V_IFT 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 V_IFT. Multiple linear regression showed that V_IFT 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 V_IFT. These findings highlight that various anaerobic characteristics contribute to the intermittent fitness qualities that are quantified through V_IFT. More specifically, these data indicate that V_IFT 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 ]]>