scholarly journals Impact of Match Results on the Physical Performance of Players in Japanese Elite Rugby Union Match Play

Author(s):  
Hayato YAMAMOTO ◽  
Masanori TAKEMURA ◽  
Misato TACHIBANA ◽  
Junzo TSUJITA ◽  
Tatsuya HOJO
2020 ◽  
Vol 18 (0) ◽  
pp. 100-105
Author(s):  
Hayato Yamamoto ◽  
Masanori Takemura ◽  
Misato Tachibana ◽  
Junzo Tsujita ◽  
Tatsuya Hojo

2012 ◽  
Vol 50 (2) ◽  
pp. 266-284 ◽  
Author(s):  
Sharief Hendricks ◽  
Esme Jordaan ◽  
Michael Lambert
Keyword(s):  

2021 ◽  
Vol 55 (16) ◽  
pp. 941.3-942
Author(s):  
Rob Strong ◽  
Daniel West ◽  
Joe Kupsarevic

BackgroundThe loaded countermovement jump (CMJ) is a variation on the normal CMJ (bodyweight-only), used routinely in sport settings as a measure of neuromuscular fatigue (NMF). Although commonplace, the CMJ variables that are most sensitive to NMF remain somewhat unclear.PurposeThe aim of this study was to examine the relationship between changes in workload and changes in the loaded CMJ; specifically, to determine its suitability for assessment of NMF.MethodsEighteen professional rugby union players performed loaded CMJ tests on seven occasions over the course of thirteen weeks, during an English top-flight season. Eight CMJ variables were measured, assessing different aspects of the CMJ. Workload was measured by GPS total distance and was the sum of the previous week’s data, recorded in on-field training and match-play. Spearman’s rank-order correlations were calculated to identify the relationship between changes in workload and changes in loaded CMJ variables.ResultsNo significant relationships were found between loaded CMJ variables and workload with no lag or workload lagged one week. Significant relationships were found between workload lagged 2 weeks and flight time/contact time (FT-CT; rs=-0.35; p=0.04) and time to peak power (TtPP; rs=0.35; p=0.05).ConclusionThis study suggests loaded CMJ is not a suitable test to monitor acute changes to NMF. However, results also indicate that FT-CT and TtPP, are associated with changes in workload lagged 2-weeks. Therefore, certain CMJ variables may prove useful to help prescribe alterations to athlete training plans following periods of heavy workload.


2006 ◽  
Vol 1 (1) ◽  
pp. 2-13 ◽  
Author(s):  
Grant M. Duthie

Increased professionalism in rugby has resulted in national unions developing high-performance models for elite player development, of which physical preparation is an important component, to ensure success in future years. This article presents a 5-step framework for the physical preparation of elite players in a development program. Competition movement patterns and the physical profiles of elite players are used as the basis of the framework and reinforce the repeated high-intensity nature of Rugby Union. Physical profiling highlights a player’s strengths and weaknesses in the areas of strength, speed, endurance, and body composition. These qualities need to be managed with an understanding of their interaction. This framework should be implemented within the yearly plan to ensure that benefits are maximized from the training undertaken. The success of the framework in developing elite players’ progression can be evaluated using standardized physical, performance, and competency tests.


2018 ◽  
Vol 13 (10) ◽  
pp. 1331-1336 ◽  
Author(s):  
Dale B. Read ◽  
Ben Jones ◽  
Sean Williams ◽  
Padraic J. Phibbs ◽  
Josh D. Darrall-Jones ◽  
...  

Purpose: To quantify the frequencies and timings of rugby union match-play phases (ie, attacking, defending, ball in play [BIP], and ball out of play [BOP]) and then compare the physical characteristics of attacking, defending, and BOP between forwards and backs. Methods: Data were analyzed from 59 male rugby union academy players (259 observations). Each player wore a microtechnology device (OptimEye S5; Catapult, Melbourne, Australia) with video footage analyzed for phase timings and frequencies. Dependent variables were analyzed using a linear mixed-effects model and assessed with magnitude-based inferences and Cohen d effect sizes (ES). Results: Attack, defense, BIP, and BOP times were 12.7 (3.1), 14.7 (2.5), 27.4 (2.9), and 47.4 (4.1) min, respectively. Mean attack (26 [17] s), defense (26 [18] s), and BIP (33 [24] s) phases were shorter than BOP phases (59 [33] s). The relative distance in attacking phases was similar (112.2 [48.4] vs 114.6 [52.3] m·min−1, ES = 0.00 ± 0.23) between forwards and backs but greater in forwards (114.5 [52.7] vs 109.0 [54.8] m·min−1, ES = 0.32 ± 0.23) during defense and greater in backs during BOP (ES = −0.66 ± 0.23). Conclusions: Total time in attack, defense, and therefore BIP was less than BOP. Relative distance was greater in forwards during defense, whereas it was greater in backs during BOP and similar between positions during attack. Players should be exposed to training intensities from in-play phases (ie, attack and defense) rather than whole-match data and practice technical skills during these intensities.


2020 ◽  
Vol 11 ◽  
Author(s):  
João Nuno Ribeiro ◽  
Bruno Gonçalves ◽  
Diogo Coutinho ◽  
João Brito ◽  
Jaime Sampaio ◽  
...  

2020 ◽  
pp. bjsports-2020-102529
Author(s):  
Stephen W West ◽  
Lindsay Starling ◽  
Simon Kemp ◽  
Sean Williams ◽  
Matthew Cross ◽  
...  

ObjectivesThe Professional Rugby Injury Surveillance Project is the largest and longest running rugby union injury surveillance project globally and focuses on the highest level of rugby in England.MethodsWe examined match injuries in professional men’s rugby over the period 2002/2003 to 2018/2019 and described trends in injuries over this time.ResultsOver the period 2002/2003–2018/2019, 10 851 injuries occurred in 1 24 952 hours of match play, equating to a mean of 57 injuries per club per season and one injury per team per match. The mean incidence, severity (days absence) and burden (days absence/1000 hours) of injury were 87/1000 hours (95% CI 82 to 92), 25 days (95% CI 22 to 28) and 2178 days/1000 hours (95% CI 1872 to 2484), respectively. The tackle accounted for 43% injuries with running the second most common activity during injury (12%). The most common injury location was the head/face with an incidence of 11.3/1000 hours, while the location with the highest overall burden was the knee (11.1 days/1000 hours). Long-term trends demonstrated stable injury incidence and proportion of injured players, but an increase in the mean and median severity of injuries. Concussion incidence, severity and burden increased from the 2009/2010 season onwards and from 2011 to 2019 concussion was the most common injury.ConclusionThe rise in overall injury severity and concussion incidence are the most significant findings from this work and demonstrate the need for continued efforts to reduce concussion risk as well as a greater understanding of changes in injury severity over time.


2016 ◽  
Vol 17 (2) ◽  
pp. 132-143 ◽  
Author(s):  
Mathieu Lacome ◽  
Julien Piscione ◽  
Jean-Philippe Hager ◽  
Chris Carling
Keyword(s):  

2000 ◽  
Vol 14 (3) ◽  
pp. 265-272
Author(s):  
WILLIAM J. KRAEMER ◽  
PATRICIA A. PIORKOWSKI ◽  
JILL A. BUSH ◽  
ANA L. GOMEZ ◽  
CHAD C. LOEBEL ◽  
...  

Author(s):  
Marc R Jones ◽  
Daniel J West ◽  
Bradley J Harrington ◽  
Christian J Cook ◽  
Richard M Bracken ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document