TENDON RESPONSE IN ACHILLES TENDON OF AUSTRALIAN FOOTBALL PLAYERS USING ULTRASOUND TISSUE CHARACTERISATION

2013 ◽  
Vol 47 (9) ◽  
pp. e2.24-e2
Author(s):  
S Rosengarten ◽  
S I Docking ◽  
J T M van Schie ◽  
J Daffy ◽  
J L Cook
2014 ◽  
Vol 49 (3) ◽  
pp. 183-187 ◽  
Author(s):  
Samuel D Rosengarten ◽  
Jill L Cook ◽  
Adam L Bryant ◽  
Justin T Cordy ◽  
John Daffy ◽  
...  

2014 ◽  
Vol 48 (Suppl 2) ◽  
pp. A53-A54
Author(s):  
Noel Pollock ◽  
Jarrod Antflick ◽  
Toby Smith ◽  
Robin Chakraverty

2013 ◽  
Vol 8 (4) ◽  
pp. 373-378 ◽  
Author(s):  
Stuart J. Cormack ◽  
Mitchell G. Mooney ◽  
Will Morgan ◽  
Michael R. McGuigan

Purpose:To determine the impact of neuromuscular fatigue (NMF) assessed from variables obtained during a countermovement jump on exercise intensity measured with triaxial accelerometers (load per minute [LPM]) and the association between LPM and measures of running activity in elite Australian Football.Methods:Seventeen elite Australian Football players performed the Yo-Yo Intermittent Recovery Test level 2 (Yo-Yo IR2) and provided a baseline measure of NMF (flight time:contraction time [FT:CT]) from a countermovement jump before the season. Weekly samples of FT:CT, coaches’ rating of performance (votes), LPM, and percent contribution of the 3 vectors from the accelerometers in addition to high-speed-running meters per minute at >15 km/h and total distance relative to playing time (m/min) from matches were collected. Samples were divided into fatigued and nonfatigued groups based on reductions in FT:CT. Percent contributions of vectors to LPM were assessed to determine the likelihood of a meaningful difference between fatigued and nonfatigued groups. Pearson correlations were calculated to determine relationships between accelerometer vectors and running variables, votes, and Yo-Yo IR2 score.Results:Fatigue reduced the contribution of the vertical vector by (mean ± 90% CI) –5.8% ± 6.1% (86% likely) and the number of practically important correlations.Conclusions:NMF affects the contribution of individual vectors to total LPM, with a likely tendency toward more running at low speed and less acceleration. Fatigue appears to limit the influence of the aerobic and anaerobic qualities assessed via the Yo-Yo IR2 test on LPM and seems implicated in pacing.


2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Hunter Bennett ◽  
Joel Fuller ◽  
Steve Milanese ◽  
Stephen Jones ◽  
Emma Moore ◽  
...  

2019 ◽  
Vol 14 (6) ◽  
pp. 829-840 ◽  
Author(s):  
Timothy J.H. Lathlean ◽  
Paul B. Gastin ◽  
Stuart V. Newstead ◽  
Caroline F. Finch

Purpose:To investigate associations between load (training and competition) and wellness in elite junior Australian Football players across 1 competitive season.Methods:A prospective cohort study was conducted during the 2014 playing season in 562 players from 9 teams. Players recorded their training and match intensities according to the session-rating-of-perceived-exertion (sRPE) method. Based on sRPE player loads, a number of load variables were quantified, including cumulative load and the change in load across different periods of time (including the acute-to-chronic load ratio). Wellness was quantified using a wellness index including sleep, fatigue, soreness, stress, and mood on a Likert scale from 1 to 5.Results:Players spent an average of 85 (21) min in each match and 65 (31) min per training session. Average match loads were 637 (232) arbitrary units, and average training loads were 352 (233) arbitrary units. Over the 24 wk of the 2014 season, overall wellness had a significant linear negative association with 1-wk load (B = −0.152; 95% confidence interval, −0.261 to −0.043;P = .006) and an inverseU-curve relationship with session load (B = −0.078; 95% confidence interval, 0.143 to 0.014;P = .018). Mood, stress, and soreness were all found to have associations with load.Conclusions:This study demonstrates that load (within a session and across the week) is important in managing the wellness of elite junior Australian Football players. Quantifying loads and wellness at this level will help optimize player management and has the potential to reduce the risk of adverse events such as injury.


2014 ◽  
Vol 17 (3) ◽  
pp. 326-331 ◽  
Author(s):  
Courtney Sullivan ◽  
Johann C. Bilsborough ◽  
Michael Cianciosi ◽  
Joel Hocking ◽  
Justin Cordy ◽  
...  

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