https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:18261 Sat 24 Mar 2018 08:04:54 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17548 Sat 24 Mar 2018 08:03:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28286 cyc) and running at 8 km/h (rHRI_run) in 13 male triathletes following two weeks of light-training (LT), two weeks of heavy-training (HT) and a two-day recovery period (RP). A five min cycling time-trial assessed performance and peak oxygen consumption (VO_2peak). Results: Performance likely decreased following HT (Effect size ± 90% confidence interval = -0.18 ± 0.09), then very likely increased following RP (0.32 ± 0.14). rHRI_cyc very likely decreased (-0.48 ± 0.24), and rHRIrun possibly decreased (-0.33 ± 0.48), following HT. Changes in both measures were unclear following RP. Steady-state HR was almost certainly lower (-0.81 ± 0.31) during rHRI_cyc than rHRI_run. A large correlation was found between reductions in performance and rHRI_run (r ± 90%; CI = 0.65 ± 0.34) from LT to HT, but was unclear for rHRI_cyc. Trivial within-subject correlations were found between rHRI and performance, but the strength of relationship between rHRI_run and performance was largely associated with VO_2peak following LT (r = -0.58 ± 0.38). Conclusions: Performance reductions were most sensitively tracked by rHRI_run following HT. This may be due to rHRI_run being assessed at a higher intensity than rHRI_cyc, inferred from a higher steady-state HR and supported by a stronger within-subject relationship between rHRI_run and performance in individuals with a lower VO_2peak, in whom the same exercise intensity would represent a greater physiological stress. rHRI assessed at relatively high exercise intensities may better track performance changes.]]> Sat 24 Mar 2018 07:41:23 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29263 0.6). There were inverse within-subject relationships between indices of HRR and performance (r = −0.6, p ≤ 0.004). Peak HR decreased 3.2 ± 5.1 bpm following heavy training (p = 0.06) and significantly increased 4.9 ± 4.3 bpm following recovery (p = 0.004). There was a moderate within-subject relationship between peak HR and exercise performance (r = 0.7, p ≤ 0.001). Controlling for peak HR reduced the relationships between HRR and performance (r = −0.4–0.5, p < 0.05). Conclusions: This study demonstrated that HRR tracks short-term changes in exercise performance within-individuals, such that increases in HRR are associated with poorer exercise performance following heavy training. Peak HR can be compromised under conditions of fatigue, and needs to be taken into account in HRR analyses.]]> Sat 24 Mar 2018 07:39:14 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29225 Sat 24 Mar 2018 07:36:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23762 2max : 43.3 ± 5.7 ml kg^-1 min^-1) volunteered to participate. Heart rate (HR) and blood lactate concentration ([BLa]) were collected across eight competitive matches. Overall and positional player activity demands were calculated across three matches using time-motion analysis methodology. Activity frequencies, total durations and total distances were determined for various activity categories. Mean (±SD) HR responses of 162±3b min^-1 (82.4±1.3% HR_max) and 136±6b min^-1 (68.6±3.1% HR_max) were evident across live and total time during matches. A mean [BLa] of 3.7 ± 1.4 mmol L^-1 was observed across competition. Player activity demands were unchanged across match periods, with 1752±186 movements performed and 5214±315m travelled across total live match time. Furthermore, 39±3%, 52±2%, 5 ± 1% and 4±1% of total live time was spent performing low-intensity, moderate-intensity, high-intensity and dribbling activity. Positional comparisons revealed backcourt players performed more ball dribbling (p<0.001) and less standing/walking (p<0.01) and running (p<0.05) than frontcourt players. Together, these findings highlight the high intermittent demands and important contributions of both anaerobic and aerobic metabolic pathways during state-level female basketball competition.]]> Sat 24 Mar 2018 07:11:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34991 Fri 21 Jan 2022 09:21:16 AEDT ]]>