http://researchonline.federation.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 Jump-landing mechanics in patellar tendinopathy in elite youth basketballers http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:14334 Wed 07 Apr 2021 14:02:25 AEST ]]> Normative MRI, ultrasound and muscle functional MRI findings in the forearms of asymptomatic elite rowers http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13927 Wed 07 Apr 2021 14:02:01 AEST ]]> A 2-year prospective study of injury epidemiology in elite Australian rugby sevens : Exploration of incidence rates, severity, injury type, and subsequent injury in men and women http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13879 Wed 07 Apr 2021 14:01:58 AEST ]]> An updated subsequent injury categorisation model (SIC-2.0) : Data-driven categorisation of subsequent injuries in sport http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13336 Wed 07 Apr 2021 14:01:29 AEST ]]> How much is enough in rehabilitation? High running workloads following lower limb muscle injury delay return to play but protect against subsequent injury http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13332 49,775 m [reference: 34,613–49,775 m]: HR 0.12, 95%CI 0.04–0.36, sRPE: >1266 AU [reference: 852–1266 AU]: HR 0.09, 95%CI 0.03–0.32). Return to running within 4 days increased subsequent injury risk (3–4 days [reference: 5–6 days]: HR 25.88, 95%CI 2.06–324.4). Attaining moderate-high sprint distance (427–710 m) was protective against subsequent injury (154–426 m: [reference: 427–710 m]: HR 37.41, 95%CI 2.70–518.64). Conclusions: Training load monitoring can inform player rehabilitation programs. Higher rehabilitation training loads delayed RTP; however, moderate-high sprint running loads can protect against subsequent injury. Shared-decision making regarding RTP should include accumulated training loads and consider the trade-off between expedited RTP and lower subsequent injury risk.]]> Wed 07 Apr 2021 14:01:29 AEST ]]> Rating of perceived exertion is a stable and appropriate measure of workload in judo http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13278 Wed 07 Apr 2021 14:01:26 AEST ]]> Identifying high risk loading conditions for in-season injury in elite Australian football players http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13261 1, p < 0.05) for injury within 7 days. Most (93%) of these conditions occurred when chronic load was low or very low and ACWR was either low (<0.6) or high (>1.5). Once a high injury risk condition was entered, the elevated risk persisted for up to 28 days. Conclusions Injury risk was greatest when chronic load was low and ACWR was either low or high. This heightened risk remained for up to 4 weeks. There was no improvement in the ability to identify high injury risk situations by altering acute or chronic time periods from 1:4 weeks.]]> Wed 07 Apr 2021 14:01:25 AEST ]]> Use of a tibial accelerometer to measure ground reaction force in running : A reliability and validity comparison with force plates http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13251 Wed 07 Apr 2021 14:01:25 AEST ]]> Knee flexion strength is significantly reduced following competition in semi-professional Australian Rules football athletes : Implications for injury prevention programs http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13085 Wed 07 Apr 2021 14:01:16 AEST ]]> Exercise interventions for the prevention and treatment of groin pain and injury in athletes : A critical and systematic review http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12059 Wed 07 Apr 2021 14:00:21 AEST ]]> A multifactorial evaluation of illness risk factors in athletes preparing for the Summer Olympic Games 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 ]]> Musculoskeletal screening as a predictor of seasonal injury in elite Olympic class sailors http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11168 Wed 07 Apr 2021 13:56:30 AEST ]]> Performance success or failure is influenced by weeks lost to injury and illness in elite Australian track and field athletes : A 5-year prospective study http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11161 80% of planned training weeks (AUC, 0.72; 95%CI 0.64-0.81). Training availability accounted for 86% of successful seasons (AFE=0.86, 95%CI, 0.46 to 0.96). The majority of new injuries occurred within the first month of the preparation season (30%) and most illnesses occurred within 2-months of the event (50%). For every modified training week the chance of success significantly reduced (OR=0.74, 95%CI 0.58 to 0.94). Conclusions: Injuries and illnesses, and their influence on training availability, during preparation are major determinants of an athlete's chance of performance goal success or failure at the international level. (C) 2016 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.]]> Wed 07 Apr 2021 13:56:29 AEST ]]> Hand-held dynamometry strength measures for internal and external rotation demonstrate superior reliability, lower minimal detectable change and higher correlation to isokinetic dynamometry than externally-fixed dynamometry of the shoulder http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11130 Wed 07 Apr 2021 13:56:27 AEST ]]> The Relationship between training load and injury, illness and soreness : A Systematic and literature review http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:10750 Wed 07 Apr 2021 13:56:06 AEST ]]> Multivariate modelling of subjective and objective monitoring data improve the detection of non-contact injury risk in elite Australian footballers 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 ]]> Key viral immune genes and pathways identify elite athletes with URS http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:14376 Thu 19 May 2022 12:22:51 AEST ]]> Thirty-seven jump-landing biomechanical variables are associated with asymptomatic patellar tendon abnormality and patellar tendinopathy : A systematic review http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:14896 Fri 18 Dec 2020 14:21:38 AEDT ]]>