https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43754 Wed 28 Sep 2022 13:38:44 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38047  .05) when responses were determined relative to maximum HR or converted to training impulse and summated-HR-zone loads. Furthermore, no interaction or between-group differences were evident for RPE across either session (P > .05). Conclusions: HR and RPE values were comparable between masters and young cyclists when relative HR responses and HR training load models are used. This finding suggests HR and RPE methods used to monitor or prescribe training load can be used interchangeably between masters and young athletes irrespective of chronological age.]]> Wed 28 Jul 2021 15:32:45 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46428 P < .001 to P = .001). Captains were similar to their teammates except in regard to age, with captains being 2.6 years younger (P = .003). Conclusions: Results support hypotheses that self-selected teams are likely to contain individuals with similar characteristics, highlighting potential to leverage team-based health interventions to target specific populations by instructing individuals with risk characteristics to form teams to help change behavior.]]> Wed 23 Nov 2022 10:35:26 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38602 Wed 17 Nov 2021 16:15:47 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32691 Wed 11 Jul 2018 15:26:24 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:1060 Wed 11 Apr 2018 14:37:28 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:1070 Wed 11 Apr 2018 13:58:24 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:18798 Wed 11 Apr 2018 13:14:44 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15584 14.4 km.h(-1)) distance] and physiological measures [heart rate, blood lactate concentration ([BLa-]), and rating of perceived exertion] were collected during 20 state-based AF matches. Results: The mean (+/- SD) TD covered by field umpires was 11,492 +/- 1,729 m, with boundary umpires covering 15,061 +/- 1,749 m. The average running speed in field umpires was 103 +/- 14 m.min(-1) and was 134 +/- 14 m.min(-1) in boundary umpires. Field and boundary umpires covered 3,095 +/- 752 m and 5,875 +/- 1,590 m, during HIA, respectively. In the first quarter, HIA distance (field: P = .004, eta(2) = 0.071, boundary: P < .001, eta(2) = 0.180) and average running speed (field: P = .002, eta(2) = 0.078, boundary: P < .001, eta(2) = 0.191) were significantly greater than in subsequent quarters. Conclusions: The results demonstrate that both AF field and boundary umpires complete similar running demands to elite AF players and are subject to physical fatigue. Further research is warranted to see if this physical fatigue impacts on the cognitive function of AF umpires during match play.]]> Wed 11 Apr 2018 12:16:04 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27250 Wed 11 Apr 2018 10:23:10 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:4318 Wed 11 Apr 2018 10:18:03 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23947 Wed 11 Apr 2018 09:57:57 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33584 300 min/wk) women (age 23 ± 5 y), and 108 competitive (state-, national- or international-level) female athletes (age 23 ± 4 y) completed a self-administered questionnaire assessing OC-regimen habits and reasons for manipulation of menstruation. Results: The majority (74%) of OC users reported having deliberately manipulated menstruation at least once during the previous year, with 29% reporting having done so at least 4 times. Prevalence of menstrual manipulation (at least once in the previous year) was not different between competitive athletes, subelite recreationally active women, and recreationally active women (77% vs 74% vs 72%; P > .05). The most cited reasons for manipulating menstruation were special events or holidays (rated by 75% as important/very important), convenience (54%), and sport competition (54%). Conclusions: Menstrual manipulation through extended OC regimens is common practice in recreationally and competitively active young women, for a range of reasons relating to convenience that are not limited to physical activity. This strategy may help reduce hormone-related barriers to exercise participation, thereby positively affecting participation and performance.]]> Wed 06 Apr 2022 14:03:04 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43959 Wed 05 Oct 2022 14:01:30 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36085 Wed 05 Feb 2020 14:44:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32865 Wed 04 Sep 2019 09:55:23 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52147 Wed 04 Oct 2023 10:14:52 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49014 Wed 03 May 2023 12:24:03 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55873 Wed 03 Jul 2024 13:41:25 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55013 Wed 03 Apr 2024 11:01:53 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35675 Tue 30 Aug 2022 15:22:30 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29646 Tue 30 Aug 2022 15:09:28 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48110 Tue 28 Feb 2023 15:58:44 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35533 age = 15.82 years, SD = 0.37 years) completed: demographic information (survey), height (stadiometer), weight (digital scale), motor skill assessment (jog, grapevine, squat, push-up, upward dog, warrior one, tennis forehand, golf swing), health-related fitness (standing long jump, back-saver sit and reach, 3-min submaximal step test, 90° push-up test), and physical activity (GENEActiv accelerometers). Correlations and multiple regression models were conducted in SPSS version 24.0. Motor competence was associated with muscular fitness (standing long jump, β = 0.24, p = .002; push-ups, β = 0.42, p < .001), cardiorespiratory fitness (β = 0.21, p = .031), and flexibility (β = 0.23, p = .025), but not physical activity (β = 0.17, p = .154) or body mass index (β = -0.05, p = .622) Motor competence has a stronger association with health-relatedfitness parameters rather than physical activity.]]> Tue 27 Aug 2019 16:43:42 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55808 Tue 25 Jun 2024 10:03:58 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35676 Tue 22 Oct 2019 12:11:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35674 Tue 22 Oct 2019 11:50:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37258 Tue 15 Sep 2020 10:24:18 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38956 Tue 15 Mar 2022 18:57:17 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55086 Tue 09 Apr 2024 12:05:46 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53013 6.67 m·s−1), and a greater peak 1-minute sprint distance. Conclusions: MFT varies considerably between athletes both within and between different team sports. The results from some studies suggest that variation in MFT is associated with high-intensity running performance in a football match, as well as 10- and 30-m sprint times. Further experimental studies should focus on how determination of the MFT of team-sport athletes could be utilized to influence talent identification, team selection, and the individualization of training.]]> Tue 07 Nov 2023 08:39:16 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50445 Tue 07 May 2024 16:50:12 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38076 2max test and two 1-h VCT protocols on 3 separate occasions. The VCT consisted of 10 × 6-min segments containing prescribed (3.5 W·kg⁻¹) and open-ended phases. The open-ended phases consisted of 4 x 30–40 s of "recovery," 3 x 10 s at "hard" intensity, and 3 x 6-s "sprint" with a final 10-s "all-out" effort. Results: Power output for the 6- and 10-s phases was moderately higher for the national- compared with club-level cyclists (mean [SD] 10.4 [2.0] vs 8.6 [1.6] W·kg⁻¹, effect size; ±90% confidence limits = −0.87; ±0.65 and mean [SD] 7.5 [0.7] vs 6.2 [1.0] W·kg⁻¹, effect size; ±90% confidence limits = −1.24; ±0.66, respectively). Power output for the final 10-s "all-out" sprint was 15.4 (1.5) for the national- versus 13.2 (1.9) W·kg⁻¹ for club-level cyclists. Conclusion: The 1-h VCT can successfully differentiate repeat high-intensity effort performance between higher-caliber cyclists and their lower-performing counterparts.]]> Tue 03 Aug 2021 14:02:28 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48087 Thu 16 Mar 2023 10:16:03 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35912 Thu 16 Jan 2020 13:18:09 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34467 -1.min^-1) underwent a clinical evaluation of known risk factors by a physician and comprehensive laboratory analysis of immune responses both at rest and after two cycling ergometer tests: 60 min at 65% VO₂max (LONG); and 6 x 3 min intervals at 90% VO₂max (INTENSE). Blood tests were performed to determine Epstein Barr virus (EBV) status and DNA was genotyped for a panel of cytokine gene polymorphisms. Saliva was collected for measurement of IgA and detection of EBV DNA. Athletes were then followed for 9 months for self-reported episodes of respiratory illness, with confirmation of the underlying cause by a sports physician. There were no associations with risk of respiratory illness identified for any parameter assessed in the clinical evaluations. The laboratory parameters associated with an increased risk of respiratory illnesses in highly-trained athletes were cytokine gene polymorphisms for the high expression of IL-6 and IFN-γ expression of EBV-DNA in saliva; and low levels of salivary IgA concentration. A genetic risk score was developed for the cumulative number of minor alleles for the cytokines evaluated. Athletes prone to recurrent respiratory illness were more likely to have immune disturbances that allow viral reactivation, and a genetic predisposition to pro-inflammatory cytokine responses to intense exercise.]]> Thu 14 Mar 2019 16:50:14 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52138 .05). Further, there was distributional similarity (ie, low standardized propensity mean squared error) between the original observed and synthetic data sets. Conclusions: These findings highlight the potential use of synthetic data as a practical solution to privacy and confidentiality issues. Synthetic data can unlock previously inaccessible data sets for exploratory analysis and facilitate multiteam or multicenter collaborations. Interested sport scientists, practitioners, and researchers should consider utilizing the shiny web application (SYNTHETIC DATA—available at https://assetlab.shinyapps.io/SyntheticData/).]]> Thu 09 Nov 2023 15:59:48 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37939 60%), attendance (80%), retention (≥85%), and program acceptability (≥4 out of 5). Acceptability of data collection procedures, research team program/resource management, home-program compliance, and preliminary intervention outcomes were also assessed. Results: Feasibility benchmarks were surpassed for recruitment (24 dyads), eligibility rate (61.5%), attendance (89%), retention (100%), and program acceptability (4.6 out of 5). Data collection procedures were acceptable. Challenges included mothers reporting their own dietary intake rather than their child’s, children moving during body composition measurement, and resetting pedometers. Resource and program management were excellent. Most families met home-program requirements (83%). Preliminary intervention outcomes were encouraging for fathers and children. Conclusion: Program feasibility was demonstrated by excellent recruitment, attendance, acceptability, retention, program administration, and promising preliminary intervention outcomes. A few data collection difficulties were identified. A larger scale efficacy trial is warranted.]]> Thu 08 Jul 2021 16:41:31 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9380 Sat 24 Mar 2018 10:45:36 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31122 r = -.34 to .87, P < .05) between internal and external measures of TL and sRPE, with the strongest correlations (r ≥ .62) for GPS-derived measures for both playing positions. In batsmen, stepwise multiple-regression analysis revealed that 67.8% of the adjusted variance in sRPE could be explained by PlayerLoad and high-intensity distance (y = 27.43 + 0.81 PlayerLoad + 0.29 high-intensity distance). For medium-fast bowlers, 76.3% of the adjusted variance could be explained by total distance and mean heart rate (y = 101.82 + total distance 0.05 + HR_mean – 0.48). Conclusion: These results suggest that sRPE is a valid method of reporting TL among cricket batsmen and medium-fast bowlers. Position-specific responses are evident and should be considered when monitoring the TL of cricket players.]]> Sat 24 Mar 2018 08:44:41 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2469 Sat 24 Mar 2018 08:27:47 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20215 Sat 24 Mar 2018 08:06:51 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:18154 -1·min^-1) completed repeat progressive maximal tests (PMT) and time-to-exhaustion (TTE) tests at 90% VO₂max wearing either manufacturer-recommended LBCG (rLBCG), undersized LBCG (uLBCG), or loose running shorts (CONT). During all exercise testing, several systemic and peripheral physiological measures were taken. Results: The results indicated similar effects of wearing rLBCG and uLBCG compared with the control. Across the PMT, wearing either LBCG resulted in significantly (P < .05) increased oxygen consumption, O₂pulse, and deoxyhemoglobin (HHb) and decreased running economy, oxyhemoglobin, and tissue oxygenation index (TOI) at low-intensity speeds (8–10 km·h^-1). At higher speeds (12–18 km·h^-1), wearing LBCG increased regional blood flow (nTHI) and HHb values, but significantly lowered heart rate and TOI. During the TTE, wearing either LBCG significantly (P < .05) increased HHb concentration, whereas wearing uLBCG also significantly (P < .05) increased nTHI. No improvement in endurance running performance was observed in either compression condition. Conclusion: The results suggest that wearing LBCG facilitated a small number of cardiorespiratory and peripheral physiological benefits that appeared mostly related to improvements in venous flow. However, these improvements appear trivial to athletes, as they did not correspond to any improvement in endurance running performance.]]> Sat 24 Mar 2018 08:04:42 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17383 Sat 24 Mar 2018 08:01:30 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16397 Sat 24 Mar 2018 08:00:55 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19542 Sat 24 Mar 2018 07:58:27 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17988 Sat 24 Mar 2018 07:56:20 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19122 Sat 24 Mar 2018 07:55:56 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19198 Sat 24 Mar 2018 07:55:00 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20650 Sat 24 Mar 2018 07:53:09 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19169 14.4 km/h], very high-speed running [VHSR; >19.8 km/h], and player load), HR and session-RPE (sRPE) scores were recorded. Internal TL scores (HR-based and sRPE-based) were calculated, and their relationships with measures of external TL were quantified using Pearson product–moment correlations. Results: Physical measures of TD, LSA volume, and player load provided large, significant (r = .71–.84; P < .01) correlations with the HR-based and sRPE-based methods. Volume of HSR and VHSR provided moderate to large, significant (r = .40–.67; P < .01) correlations with measures of internal TL. Conclusions: While the volume of HSR and VHSR provided significant relationships with internal TL, physical-performance measures of TD, LSA volume, and player load appear to be more acceptable indicators of external TL, due to the greater magnitude of their correlations with measures of internal TL.]]> Sat 24 Mar 2018 07:52:19 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27118 Sat 24 Mar 2018 07:41:35 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26125 met) were calculated for 10 different moving-average durations (1–10 min) for each position. A mixed-effects model was used to assess the effect of position for each duration, and individual comparisons were made using a magnitude-based-inference network. Results: There were almost certainly large differences in relative distance and P_met between the 10-min window and all moving averages <5 min in duration (ES = 1.21–1.88). Fullbacks, halves, and hookers covered greater relative distances than outside backs, edge forwards, and middle forwards for moving averages lasting 2–10 min. Acceleration/deceleration demands were greatest in hookers and halves compared with fullbacks, middle forwards, and outside backs. P_met was greatest in hookers, halves, and fullbacks compared with middle forwards and outside backs. Conclusions: Competition running intensities varied by both position and moving-average duration. Hookers exhibited the greatest P_met of all positions, due to high involvement in both attack and defense. Fullbacks also reached high P_met, possibly due to a greater absolute volume of running. This study provides coaches with match data that can be used for the prescription and monitoring of specific training drills.]]> Sat 24 Mar 2018 07:41:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28051 Sat 24 Mar 2018 07:41:02 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25375 Sat 24 Mar 2018 07:39:10 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30104 P < .05) after the first 10-min bout of basketball activity. sRPE TL was only significantly related to Lucia TRIMP (r = .66–.69; P < .05) across 0–10 and 0–20 min. Similarly, mean sprint and circuit speed were significantly correlated across 0–20 min (r = .67; P < .05). In contrast, SHRZ and Banister TRIMP were significantly related across all training doses (r = .84–.89; P < .05). Conclusions: Limited convergence exists between common TL approaches across basketball training doses lasting beyond 20 min. Thus, the interchangeability of commonly used internal and external TL approaches appears dose-dependent during basketball activity, with various psychophysiological mediators likely underpinning temporal changes.]]> Sat 24 Mar 2018 07:37:56 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29231 Sat 24 Mar 2018 07:36:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29722 2282 AU, weekly-TL >2786 AU and monotony >0.78 AU) to best predict when athletes are at increased risk of self-reported illness. In addition, a reduction in overall wellbeing (<7.25 AU) in the presence of increased internal-TL as previously stated, was highlighted as a contributor to self-reported illness occurrence.These results indicate that self-report data can be successfully utilized to provide a novel understanding of the interactions between competition-associated stressors experienced by professional team-sport athletes and their susceptibility to illness. This may assist coaching staff to more effectively monitor players during the season and to potentially implement preventative measures to reduce the likelihood of illnesses occurring.]]> Sat 24 Mar 2018 07:33:25 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30900 Sat 24 Mar 2018 07:30:39 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26708 Sat 24 Mar 2018 07:26:22 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26747 2max 4.1 ± 0.7 L/min, training experience 2.7 ± 1.2 y) and to establish the relationship between physiological variables (VO_2max, VO₂ kinetics, muscleoxygen kinetics, paddling efficiency) and sprint kayak performance. VO_2max, power at VO_2max, power:weight ratio, paddling efficiency, VO₂ at lactate threshold, and whole-body and muscle oxygen kinetics were determined on a kayak ergometer in the laboratory. Separately, on-water time trials (TT) were completed over 200 m and 1000 m. Large to nearly perfect (-.5 to-.9) inverse relationships were found between the physiological variables and on-water TT performance across both distances. Paddling efficiency and lactate threshold shared moderate to very large correlations (-.4 to-.7) with 200- and 1000-m performance. In addition, trivial to large correlations (-.11 to-.5) were observed between muscle-oxygenation parameters, muscle and whole-body oxygen kinetics, and performance. Multiple regression showed that 88% of the unadjusted variance for the 200-m TT performance was explained by VO_2max, peripheral muscle deoxygenation, and maximal aerobic power (P < .001), whereas 85% of the unadjusted variance in 1000-m TT performance was explained by VO_2max and deoxyhemoglobin (P < .001). The current findings show that well-trained junior sprint kayak athletes possess a high level of relative aerobic fitness and highlight the importance of the peripheral muscle metabolism for sprint kayak performance, particularly in 200-m races, where finalists and nonfinalists are separated by very small margins. Such data highlight the relative aerobic-fitness variables that can be used as benchmarks for talent-identification programs or monitoring longitudinal athlete development. However, such approaches need further investigation.]]> Sat 24 Mar 2018 07:24:48 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24785 Sat 24 Mar 2018 07:14:06 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23062 Sat 24 Mar 2018 07:12:27 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24676 Sat 24 Mar 2018 07:10:51 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23966 .9, P < .001). The correlation between change scores was stronger for the LMI (r = .69, SEE 1.3 kg) and the SkF method (r = .66, SEE = 1.4 kg) than for BIA (r = .50, SEE = 1.6 kg). Conclusions: The LMI is probably as accurate in predicting changes in FFM as SkF and very likely to be more appropriate than BIA. The LMI offers an adequate, practical alternative for assessing in FFM among rugby league athletes.]]> Sat 24 Mar 2018 07:10:09 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45539 2peak), and cardiometabolic risk Z score. Results: The intervention groups presented a significant reduction in the cardiometabolic risk Z score after 12 weeks of the combined exercise program. In relation to the cardiometabolic risk Z score between groups, the HIIT + RT group presented a significant intervention effect when compared with the control group (Cohen d = 0.23; P < .05). Significant intervention effects were found when comparing the MICT + RT and control groups for body fat percentage, high-density lipoprotein, and VO₂peak. Between the HIIT + RT and control groups, significant intervention effects were found for body fat percentage, blood pressure, and VO₂peak. There were not significant differences between the HIIT + RT and MICT + RT groups. Conclusion: Twelve weeks of HIIT + RT and MICT + RT were effective in significantly reducing the cardiometabolic risk in these adolescents.]]> Mon 31 Oct 2022 15:40:59 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48691 Mon 27 Mar 2023 18:51:41 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34259 Mon 25 Feb 2019 11:39:34 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24011 Mon 23 Sep 2019 13:45:07 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32553 Mon 18 Jun 2018 10:09:23 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46979 Mon 12 Dec 2022 17:08:30 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54778 4.17 m·s−1), and acceleration (in meters per second squared), while intercept and slopes were calculated using power law. Carnosine content was quantified by proton magnetic resonance spectroscopy in the gastrocnemius and soleus and expressed as a carnosine aggregate z score (CAZ score) to estimate muscle fiber typology. Mixed linear models were used to determine the association between CAZ score and running performance. Results: The mean (range) CAZ score was −0.60 (−1.89 to 1.25), indicating that most athletes possessed a greater estimated proportion of type I muscle fibers. A greater estimated proportion of type I fibers (ie, lower CAZ score) was associated with a larger accumulation of HSR (>4.17 m·s−1) and an increased ability to maintain HSR as the peak period duration increased. Conclusion: AF athletes with a greater estimated proportion of type I muscle fibers were associated with a greater capacity to accumulate distance running at high speeds, as well as a greater capacity to maintain higher output of HSR running during peak periods as duration increases.]]> Mon 11 Mar 2024 15:21:17 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55068 Mon 08 Apr 2024 13:20:52 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35424 Mon 05 Aug 2019 12:59:29 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53237  .05). Risk of bias results were variable (low = 8, some concerns = 9, and high = 7). Conclusion: Our findings suggest that embedding high-intensity interval training in schools and sports training can facilitate improvements in some aspects of cardiometabolic health and fitness in children and adolescents.]]> Fri 17 Nov 2023 16:20:02 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53145 Fri 17 Nov 2023 11:44:19 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53217 Fri 17 Nov 2023 11:31:47 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51493  .05 for all comparisons). Trivial and small effect sizes were found for all BC variables when comparing the MC phases in eumenorrheic females, as well as for the OC cycle phases. Conclusions: According to the results, sex hormone fluctuations throughout the menstrual and OC cycle do not influence BC variables measured by bioelectrical impedance in well-trained females. Therefore, it seems that bioimpedance analysis can be conducted at any moment of the cycle, both for eumenorrheic women and women using OC.]]> Fri 08 Sep 2023 11:57:22 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41566 Fri 05 Aug 2022 14:37:31 AEST ]]>