scholarly journals Can tackle height influence tackle gainline success outcomes in elite level rugby union?

2017 ◽  
Vol 13 (3) ◽  
pp. 415-420 ◽  
Author(s):  
Gregory J Tierney ◽  
Ciaran K Simms
Keyword(s):  
Rugby Union ◽  
Lower Trunk ◽  
Centre Of Gravity ◽  
Elite Level

In rugby union, effective defensive play is highly technical and essential for game outcomes. Therefore, the aim of this study was to identify tackle heights, for given tackle types, that had a greater propensity to result in tackle gainline success for the tackler using match video evidence. The results indicated that tackling the upper legs of the ball carrier had a greater propensity to result in tackler success for both front-on (OR = 3.27; 95% CI = 1.34–7.95; p < 0.01) and side-on (OR = 5.31; 95% CI = 2.08–13.6; p < 0.01) arm tackles. For shoulder tackles, tackling at the lower trunk for front-on tackles (OR = 1.70; 95% CI = 1.04-2.79; p = 0.03) and the mid trunk for side-on tackles (OR = 3.11; 95% CI = 1.31–7.37; p < 0.01) had a greater propensity to result in tackler success. For smother tackles, tackling at the mid trunk had a greater propensity to result in tackler success during front-on (OR = 3.49; 95% CI = 1.81–6.74; p < 0.01) and side-on (OR = 5.11; 95% CI = 2.42–10.8; p < 0.01) tackles. The results highlight the importance of tackle height when coaching the tackle. The findings also suggest that technically proficient players can advance to more challenging contact techniques than aiming for the ball carrier’s centre of gravity.

scholarly journals The effect of technique on tackle gainline success outcomes in elite level rugby union

2017 ◽  
Vol 13 (1) ◽  
pp. 16-25 ◽  
Author(s):  
Gregory J Tierney ◽  
Karl Denvir ◽  
Garreth Farrell ◽  
Ciaran K Simms
Keyword(s):  
Confidence Interval ◽  
Odds Ratio ◽  
Rugby Union ◽  
Chi Square ◽  
Centre Of Gravity ◽  
Elite Level ◽  
Chi Square Test

Tackling is a major component of rugby union and effective attacking and defensive play are essential for game outcomes. In this study, a number of pre-contact, contact and post-contact tackle characteristics that had an influence on tackle gainline success for the ball carrier and tackler were identified using match video evidence from European Rugby Champions Cup games. A total of 122 front-on tackles and 111 side-on tackles were analysed. For each ball carrier and tackler characteristic, the Odds Ratio and 95% Confidence Interval were calculated based on a gainline success outcome. A Chi-Square and Phi and Cramer’s V calculation was also conducted. A Chi-Square test then identified any statistically significant differences (p < 0.05) for proficiency characteristics between playing position. For both the ball carrier and tackler, tackle characteristics that were indicative of strong and powerful tackle technique such as ‘explosiveness on contact’ and ‘leg drive on contact’ were effective for achieving the desired gainline outcome. Playing position had an influence on only two proficiency characteristics that were statistically significant for gainline success: ‘fending into contact’ for ball carriers and ‘straight back, centre of gravity forward of support base’ for tacklers.

A Five-Stage Process for Establishing Contextually Valid Systematic Observation Instruments: The Case of Rugby Union

2002 ◽  
Vol 16 (2) ◽  
pp. 138-159 ◽  
Author(s):  
Clive J. Brewer ◽  
Robyn L. Jones
Keyword(s):  
Interobserver Agreement ◽  
Rugby Union ◽  
Face Validity ◽  
Validity And Reliability ◽  
Systematic Observation ◽  
Observation Instrument ◽  
Observation Instruments ◽  
Elite Level ◽  
Stage Process ◽  
Reliability Check

The purpose of this paper is to propose a five-stage process for establishing both validity and reliability in new systematic observation instruments. The process is contextualized within the working behaviors of elite level rugby union coaches within the practice setting. The sequential stages began with observer training and progressed through the identification of coaching behaviors through induction (to establish content validity), to establishing face validity through a domain-referenced test. The objectivity and reliability of the developed behavioral classifications are determined through an interobserver agreement test while, finally, the researcher’s ability to reliably reproduce data with the developed instrument is determined using a test/retest intraobserver reliability check. The developed instrument (the Rugby Union Coaches Observation Instrument: RUCOI) is deemed able to record the situationally unique behaviors arising from the nature of the sport and of the elite standard, both of which were considered to impinge upon the pedagogical process in the said context.

scholarly journals A novel biomechanical injury risk score demonstrates correlation with lower limb posterior chain injury in fifty elite level rugby union athletes

2021 ◽  
Author(s):  
Rhys Hughes ◽  
Matt Cross ◽  
Keith Stokes
Keyword(s):  
Risk Score ◽  
Lower Limb ◽  
Injury Risk ◽  
Assessment Tool ◽  
Rugby Union ◽  
Biomechanical Assessment ◽  
Elite Level ◽  
Hip Extension ◽  
Spearman’S Correlation ◽  
And Training

ABSTRACTObjectivesLower limb posterior chain injury (PCI) is common amongst athletic populations, with multi-factorial risk factors including age, previous injury, strength measurements, range of motion and training load. Biomechanics are commonly considered in the prevention and rehabilitation of PCI by performance staff. However, there is no documented testing method to assess for associations between biomechanics and PCI. The aim of this study was to investigate whether there is an association between an easily applicable, novel biomechanical assessment tool and PCI.MethodsFifty male elite-level rugby union athletes (age 22.83±5.08) participating in the highest tier of England were tested at the start of the 2019 pre-season period and PCIs (N=48) were recorded over the 2019/20 playing season. Participants’ biomechanics were analysed using two-dimensional video analysis against an Injury Risk Score (IRS) system in the performance of the combined movement – prone hip extension and knee flexion. Participants’ biomechanics in carrying out this movement were scored against the 10-point IRS, where the more compensatory movement recorded sees an increase in an individual’s IRS. Participants’ IRS were then compared against the number of PCI sustained and Spearman’s correlation coefficient was utilised for analysis.ResultsThere is a good significant association between IRS and PCI (R=0.573, p<0.001). Linear Regression demonstrated that an increase of 1 in IRS was associated with a 35% increase in PCI incidence (R2=0.346).ConclusionA good significance between the IRS and PCI provides preliminary support for its use as an injury risk assessment tool.

scholarly journals Acute subdural hematoma in an elite-level rugby union player

2020 ◽  
Vol 26 ◽  
pp. 100295
Author(s):  
Taylor J. Bates ◽  
Paul Lee ◽  
Tayt M. Ellison ◽  
Jason S. Ahuero ◽  
Matthew R. Schmitz
Keyword(s):  
Subdural Hematoma ◽  
Rugby Union ◽  
Acute Subdural Hematoma ◽  
Elite Level

scholarly journals Novel biomechanical injury risk score demonstrates correlation with lower limb posterior chain injury in 50 elite-level rugby union athletes

2021 ◽  
Vol 7 (4) ◽  
pp. e001062
Author(s):  
Rhys Hughes ◽  
Matt Cross ◽  
Keith Stokes ◽  
Daniel Tobin ◽  
Eoin Power ◽  
...  
Keyword(s):  
Risk Score ◽  
Lower Limb ◽  
Injury Risk ◽  
Assessment Tool ◽  
Rugby Union ◽  
Biomechanical Assessment ◽  
Elite Level ◽  
Hip Extension ◽  
Spearman’S Correlation ◽  
And Training

ObjectivesLower limb posterior chain injury (PCI) is common among athletic populations, with multifactorial risk factors including age, previous injury, strength measurements, range of motion and training load. Biomechanics are commonly considered in the prevention and rehabilitation of PCI by performance staff. However, there is no documented testing method to assess for associations between biomechanics and PCI. The aim of this study was to investigate whether there is an association between an easily applicable, novel biomechanical assessment tool and PCI.MethodsFifty male elite-level rugby union athletes (age 22.83±5.08) participating in the highest tier of England were tested at the start of the 2019 preseason period and PCIs (N=48) were recorded over the 2019/2020 playing season. Participants’ biomechanics were analysed using two-dimensional video analysis against an injury risk score (IRS) system in the performance of the combined movement—prone hip extension and knee flexion. Participants’ biomechanics in carrying out this movement were scored against the 10-point IRS, where the more compensatory movement recorded sees an increase in an individual’s IRS. Participants’ IRS was then compared against the number of PCIs sustained and Spearman’s correlation coefficient was used for statistical analysis.ResultsThere is a significant association between IRS and PCI (R=0.542, p<0.001). Linear regression demonstrated that an increase in 1 in IRS was associated with a 35% increase in PCI incidence (R²=0.346).ConclusionA significance between the IRS and PCI provides preliminary support for its use as an injury risk assessment tool.

scholarly journals Automatic detection of collisions in elite level rugby union using a wearable sensing device

2012 ◽  
Vol 15 (2) ◽  
pp. 81-92 ◽  
Author(s):  
Daniel Kelly ◽  
Garrett F. Coughlan ◽  
Brian S. Green ◽  
Brian Caulfield
Keyword(s):  
Automatic Detection ◽  
Rugby Union ◽  
Wearable Sensing ◽  
Elite Level

scholarly journals 0499 Long-term health outcomes after exposure to repeated concussion in elite level rugby union players

2017 ◽  
Author(s):  
Tom McMillan ◽  
P McSkimming ◽  
J Wainman-Lefley ◽  
LM Maclean ◽  
J Hay ◽  
...  
Keyword(s):  
Health Outcomes ◽  
Rugby Union ◽  
Elite Level

scholarly journals Injuries in Elite Men’s Rugby Union: An Updated (2012–2020) Meta-Analysis of 11,620 Match and Training Injuries

2021 ◽  
Author(s):  
Sean Williams ◽  
Charli Robertson ◽  
Lindsay Starling ◽  
Carly McKay ◽  
Stephen West ◽  
...  
Keyword(s):  
Incidence Rate ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Meta Analysis ◽  
Team Sports ◽  
Rugby Union ◽  
Injury Incidence ◽  
Injury Data ◽  
Analytic Review ◽  
Elite Level

Abstract Background The most recent meta-analytic review of injuries in elite senior men’s Rugby Union was published in 2013. The demands of the game at the elite level are continually changing alongside law amendments and developments in player preparation. As such, an updated meta-analysis of injury data in this setting is necessary. Objective To meta-analyse time-loss injury data in elite senior men’s Rugby Union between 2012 and 2020. Methods Electronic databases were searched using the keywords ‘rugby’ and ‘inj*’. Nineteen studies met the inclusion criteria. Injury incidence rate data were modelled using a mixed-effects Poisson regression model. Days missed data were modelled using a general linear mixed model. Results The included data encompassed a total of 8819 match injuries and 2801 training injuries. The overall incidence rate of injuries in matches was 91 per 1000 h (95% confidence interval (CI) 77–106). The estimated mean days missed per match injury was 27 days (95% CI 23–32). The overall incidence rate of match concussions was 12 per 1000 h (95% CI 9–15). The overall incidence rate of training injuries was 2.8 per 1000 h (95% CI 1.9–4.0). Playing level was not a significant effect modifier for any outcome. Conclusions The injury incidence rate and mean days missed per injury in the present meta-analysis were higher, but statistically equivalent to, the 2013 meta-analysis (81 per 1000 h and 20 days, respectively). The injury incidence rate for match injuries in elite senior men’s Rugby Union is high in comparison to most team sports, though the training injury incidence rate compares favourably. The tackle event and concussion injuries should continue to be the focus of future preventative efforts.

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