http://researchonline.federation.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:14329 Wed 07 Apr 2021 14:02:25 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:14046 Wed 07 Apr 2021 14:02:07 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13937 Wed 07 Apr 2021 14:02:02 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13927 Wed 07 Apr 2021 14:02:01 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13775 Wed 07 Apr 2021 14:01:53 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13756 Wed 07 Apr 2021 14:01:52 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13762 45 years) with age-matched untrained controls, in addition to investigating the influence of chronological age. Methods: Electronic databases were searched from inception to January 2018 before conducting a random-effects meta-analysis to calculate pooled differences in means, effect size and 95% confidence intervals (CIs). Study heterogeneity was reported using Cochran’s Q and I2 statistic. Results: Overall, 32 studies (644 athletes; 582 controls) were included. Athletes had greater LV end-diastolic diameter (3.65 mm, 95% CI 2.66–4.64), interventricular septal thickness (1.23 mm, 95% CI 0.85–1.60), posterior wall thickness (1.20 mm, 95% CI 0.83–1.56), LV mass (72 g, 95% CI 46–98), LV mass index (28.17 g·m2, 95% CI 19.84–36.49) and stroke volume (13.59 mL, 95% CI 7.20–19.98) (all p < 0.01). Athletes had superior global diastolic function [ratio of early (E) to late (A) mitral inflow velocity (E/A) 0.18, 95% CI 0.13–0.24, p < 0.01; ratio of early (e′) to late (a′) diastolic annular tissue velocity (e′/a′) 0.23, 95% CI 0.06–0.40, p = 0.01], lower A (−8.20 cm·s−1, 95% CI −11.90 to −4.51, p < 0.01) and a′ (−0.72 cm·s−1, 95% CI −1.31 to −0.12, p = 0.02), and more rapid e′ (0.96 cm·s−1, 95% CI 0.05–1.86, p = 0.04). Meta-regression for chronological age identified that athlete–control differences, in the main, are maintained during advancing age. Conclusions: Athletic older men have larger cardiac dimensions and enjoy more favourable cardiac function than healthy, non-athletic counterparts. Notably, the athlete groups maintain these effects during chronological ageing. © 2018, The Author(s).]]> Wed 07 Apr 2021 14:01:52 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13764 Wed 07 Apr 2021 14:01:52 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13718 Wed 07 Apr 2021 14:01:49 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13497 Wed 07 Apr 2021 14:01:38 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13494 Wed 07 Apr 2021 14:01:37 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13347 200 ms) on important cues for perception to take place, but no action followed, indicating they had pattern-matching failure. When participants fail to notice what, they should notice in patient status until it is too late, this can have serious consequences. Much work needs to be done, since these human perceptual limitations can affect patient safety in general wards.]]> Wed 07 Apr 2021 14:01:30 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13352 Wed 07 Apr 2021 14:01:30 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13278 Wed 07 Apr 2021 14:01:26 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13085 Wed 07 Apr 2021 14:01:16 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13090 Wed 07 Apr 2021 14:01:16 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13044 Wed 07 Apr 2021 14:01:14 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12992 Wed 07 Apr 2021 14:01:11 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12871 Wed 07 Apr 2021 14:01:04 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12256 5 METs) (P <.0001). The mean difference between actual (SenseWear < 1.5 METs) and perceived sitting time was-2 ± 32%; however, perceived sedentary time was reported with a range of under-to-over estimation of-75% to 51%. Conclusion: This pilot study identifies long periods of low metabolic activity during the workday and poor perception of individual sedentary time. Interventions to reduce sedentary time in the workplace may be necessary to ensure that the work environment does not adversely affect long-term health. © 2015 Human Kinetics, Inc.]]> Wed 07 Apr 2021 14:00:32 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12262 Wed 07 Apr 2021 14:00:32 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12178 Wed 07 Apr 2021 14:00:28 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12059 Wed 07 Apr 2021 14:00:21 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11942 Wed 07 Apr 2021 13:57:13 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11941 Wed 07 Apr 2021 13:57:13 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11943 Wed 07 Apr 2021 13:57:13 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11803 Wed 07 Apr 2021 13:57:05 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11677 Wed 07 Apr 2021 13:56:58 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11679 Wed 07 Apr 2021 13:56:58 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11684 Wed 07 Apr 2021 13:56:58 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11685 Wed 07 Apr 2021 13:56:58 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11687 1 injury over a playing season. However, there is currently little high-quality epidemiological evidence about the risk of, and relationships between, multiple and subsequent injuries. PURPOSE: To describe the subsequent injuries sustained by Australian Football League (AFL) players over 1 season, including their most common injury diagnoses. STUDY DESIGN: Cohort study; Level of evidence, 3. METHODS: Within-player linked injury data on all date-ordered match-loss injuries sustained by AFL players during 1 full season were obtained. The total number of injuries per player was determined, and in those with >1 injury, the Subsequent Injury Classification (SIC) model was used to code all subsequent injuries based on their Orchard Sports Injury Classification System (OSICS) codes and the dates of injury. RESULTS: There were 860 newly recorded injuries in 543 players; 247 players (45.5%) sustained >/=1 subsequent injuries after an earlier injury, with 317 subsequent injuries (36.9% of all injuries) recorded overall. A subsequent injury generally occurred to a different body region and was therefore superficially unrelated to an index injury. However, 32.2% of all subsequent injuries were related to a previous injury in the same season. Hamstring injuries were the most common subsequent injury. The mean time between injuries decreased with an increasing number of subsequent injuries. CONCLUSION: When relationships between injuries are taken into account, there is a high level of subsequent (and multiple) injuries leading to missed games in an elite athlete group.]]> Wed 07 Apr 2021 13:56:58 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11669 Wed 07 Apr 2021 13:56:57 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11668 Wed 07 Apr 2021 13:56:57 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11633 4, OR = 8.4, 95%CI 1.1–59, p < 0.01; AFP = 0.39) and higher perceived stress (PSS: 10-item, p = 0.04) were significantly associated with illness. Conclusions Female sex, low energy availability, and mental health are associated with sports incapacity (time loss) due to illness. Low energy availability had high attributable fractions in the population and stands out as a primary association with illness. © 2017]]> Wed 07 Apr 2021 13:56:55 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11481 Wed 07 Apr 2021 13:56:47 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11483 .05). The HR, RPE and DOMS scores were not significantly different between conditions (p >.05). These results suggest that in response to a matched-intensity exercise bout, markers of post-exercise muscle damage may be reduced by running on softer ground surfaces. Such training strategy may be used to minimize musculoskeletal strain while still incurring an equivalent cardiovascular training stimulus. © 2017 European College of Sport Science.]]> Wed 07 Apr 2021 13:56:47 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11113 Wed 07 Apr 2021 13:56:26 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11115 Wed 07 Apr 2021 13:56:26 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11116 Wed 07 Apr 2021 13:56:26 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11117 Wed 07 Apr 2021 13:56:26 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11060 Wed 07 Apr 2021 13:56:23 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:10814 Wed 07 Apr 2021 13:56:10 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:10766 Wed 07 Apr 2021 13:56:07 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:10750 Wed 07 Apr 2021 13:56:06 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:10537 Wed 07 Apr 2021 13:55:52 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:10535 Wed 07 Apr 2021 13:55:52 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:10434 Wed 07 Apr 2021 13:55:48 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:10436 Wed 07 Apr 2021 13:55:48 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:10165 Wed 07 Apr 2021 13:55:29 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:9283 Wed 07 Apr 2021 13:54:29 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:7625 Wed 07 Apr 2021 13:47:06 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:7391 Wed 07 Apr 2021 13:46:51 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:7394 Wed 07 Apr 2021 13:46:51 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:7393 Wed 07 Apr 2021 13:46:51 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:7321 Wed 07 Apr 2021 13:46:47 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:6951 Wed 07 Apr 2021 13:46:29 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:6952 Wed 07 Apr 2021 13:46:29 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:6919 Wed 07 Apr 2021 13:46:27 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:6922 Wed 07 Apr 2021 13:46:27 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:6298 Wed 07 Apr 2021 13:45:53 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:5780 75% likelihood of exceeding a small (0.2) effect size., Results: Mean (± SD) full-match load/min (AU) for the higher and lower standards were 9.96 ± 2.50 and 6.88 ± 1.88, respectively (100% likely lower). The higher standard had greater (mean 97% likely) load/min (AU) values in each position. The difference between 1st and 2nd halves' load/min (AU) was unclear at the higher standard, while lower-grade centers had a lower (-7.7% ± 10.8%, 81% likely) load/min (AU) in the 2nd half and in all quarters compared with the 1st. There was little intrastandard variation in individual vector contributions to load/min (AU); however, higher-standard players accumulated a greater proportion of the total in the vertical plane (mean 93% likely)., Conclusions: Higher-standard players produced greater load/min (AU) than their lower-standard counterparts in all positions. Playing standard influenced the pattern of load/min (AU) accumulation across a match, and individual vector analysis suggests that different-standard players have dissimilar movement characteristics. Load/min (AU) appears to be a useful method for assessing activity profile in netball. © 2014 Human Kinetics, Inc.]]> Wed 07 Apr 2021 13:45:21 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:5781 Wed 07 Apr 2021 13:45:21 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:5783 Wed 07 Apr 2021 13:45:21 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:5741 Wed 07 Apr 2021 13:45:18 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:5623 Wed 07 Apr 2021 13:45:16 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:5480 Wed 07 Apr 2021 13:45:07 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:5466 Wed 07 Apr 2021 13:45:06 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:5357 Wed 07 Apr 2021 13:45:00 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:5360 .05). However, older adolescents shifted their participation away from organized, competitive modes and settings toward nonorganized and noncompetitive modes and settings and individual types of PA. Conclusions: An understanding of the changes in PA modes and settings identified here can inform the planning of policies and implementation of programs for the promotion of PA by adolescent girls.]]> Wed 07 Apr 2021 13:45:00 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:5125 Wed 07 Apr 2021 13:44:45 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:5100 Wed 07 Apr 2021 13:44:43 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:4933 .05, ES = 0.16) in agility events compared with normal AFL tackling rules (SSG 2, 8.3 ± 3.6; SSG 4, 7.8 ± 2.6). Conclusions: SSG characteristics can influence agility-training demand, which can vary considerably for individuals. Coaches should carefully consider SSG design to maximize the potential to develop agility for all players. © 2013 Human Kinetics, Inc.]]> Wed 07 Apr 2021 13:44:31 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:4843 0.05). The PW improved mean power output by 6.6% (p < 0.01) and mean stroke rate by 5.2% (p < 0.01) over the first 500 m; resulting in a reduction of 500-m time by 1.9% (p < 0.01), compared with the NW. It appears that the inclusion of isometric conditioning contractions to the rowing warm-up enhance short-term rowing ergometer performance (especially at the start of a race) to a greater extent than a rowing warm-up alone. © 2012 National Strength and Conditioning Association.]]> Wed 07 Apr 2021 13:44:23 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:2910 Wed 07 Apr 2021 13:33:56 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:2840 Wed 07 Apr 2021 13:33:52 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:271 Wed 07 Apr 2021 13:31:09 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:277 Wed 07 Apr 2021 13:31:09 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:260 Wed 07 Apr 2021 13:31:08 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:270 Wed 07 Apr 2021 13:31:08 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:269 Wed 07 Apr 2021 13:31:08 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:268 Wed 07 Apr 2021 13:31:08 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:244 40 degrees of rotation. Bowlers with an ankle dorsiflexion lunge of 12.1-14.0 cm on the leg contralateral to the bowling arm were at a significantly increased risk (OR 4.03, 95% CI 1.07 to 15.21) than bowlers with a lunge of >14 cm. Bowlers with a lunge of (12 cm were also at an increased risk, but not significantly so (OR 1.38, 95% CI 0.40 to 4.84). Conclusions: Biomechanical research is needed to investigate how these two intrinsic risk factors increase injury risk so that appropriate interventions can be developed.]]> Wed 07 Apr 2021 13:31:07 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:243 Wed 07 Apr 2021 13:31:06 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:200 Wed 07 Apr 2021 13:31:03 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:199 Wed 07 Apr 2021 13:31:03 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:147 Wed 07 Apr 2021 13:30:59 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:118 Wed 07 Apr 2021 13:30:57 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:117 Wed 07 Apr 2021 13:30:57 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:116 Wed 07 Apr 2021 13:30:56 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:115 Wed 07 Apr 2021 13:30:56 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:105 Wed 07 Apr 2021 13:30:55 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:31 Wed 07 Apr 2021 13:30:49 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13207 9 years) (multivariate adj- IRR = 2.05, 95% CI = 1.03–4.06) was also associated with increased injury risk, but screening data were not. Predictive capacity of multivariate models was significantly better than univariate (AUCmultivariate = 0.70, 95% CI 0.64–0.75; AUCunivariate range = 0.51–0.60). Conclusions: Chronic load is an important moderating factor in the workload–injury relationship. Low chronic loads coupled with low or very high ACWR are associated with increased injury risk.]]> Tue 21 Sep 2021 11:39:10 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:15771 Tue 14 Jun 2022 09:06:25 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:14376 Thu 19 May 2022 12:22:51 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:14762 Thu 19 May 2022 12:09:07 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:4819 Mon 31 Jul 2023 16:25:58 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:15346 Mon 25 Oct 2021 12:16:13 AEDT ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:2839 Fri 30 Apr 2021 12:45:59 AEST ]]>