scholarly journals Correction to: Injury Risk in New Zealand Rugby Union: A Nationwide Study of Injury Insurance Claims from 2005 to 2017

2019 ◽  
Vol 50 (2) ◽  
pp. 429-429
Author(s):  
Ken Quarrie ◽  
Simon Gianotti ◽  
Ian Murphy

Page 11, column 2, section 4.2 Injury Epidemiology, paragraph 4:

2018 ◽  
Vol 53 (16) ◽  
pp. 1026-1033 ◽  
Author(s):  
Doug King ◽  
Patria A Hume ◽  
Natalie Hardaker ◽  
Cloe Cummins ◽  
Conor Gissane ◽  
...  

ObjectivesTo provide epidemiological data and related costs for sport-related injuries of five sporting codes (cricket, netball, rugby league, rugby union and football) in New Zealand for moderate-to-serious and serious injury claims.MethodsA retrospective analytical review using detailed descriptive epidemiological data obtained from the Accident Compensation Corporation (ACC) for 2012–2016.ResultsOver the 5 years of study data, rugby union recorded the most moderate-to-serious injury entitlement claims (25 226) and costs (New Zealand dollars (NZD$)267 359 440 (£139 084 749)) resulting in the highest mean cost (NZD$10 484 (£5454)) per moderate-to-serious injury entitlement claim. Rugby union recorded more serious injury entitlement claims (n=454) than cricket (t(4)=−66.6; P<0.0001); netball (t(4)=−45.1; P<0.0001); rugby league (t(4)=−61.4; P<0.0001) and football (t(4)=66.6; P<0.0001) for 2012–2016. There was a twofold increase in the number of female moderate-to-serious injury entitlement claims for football (RR 2.6 (95%CI 2.2 to 2.9); P<0.0001) compared with cricket, and a threefold increase when compared with rugby union (risk ratio (RR) 3.1 (95%CI 2.9 to 3.3); P<0.0001). Moderate-to-serious concussion claims increased between 2012 and 2016 for netball (RR 3.7 (95%CI 1.9 to 7.1); P<0.0001), rugby union (RR 2.0 (95% CI 1.6 to 2.4); P<0.0001) and football (RR 2.3 (95%CI 1.6 to 3.2); P<0.0001). Nearly a quarter of moderate-to-serious entitlement claims (23%) and costs (24%) were to participants aged 35 years or older.ConclusionsRugby union and rugby league have the highest total number and costs associated with injury. Accurate sport exposure data are needed to enable injury risk calculations.


2021 ◽  
Vol 7 (2) ◽  
pp. e001018
Author(s):  
Craig Barden ◽  
Keith A Stokes ◽  
Carly D McKay

ObjectivesThe implementation of the Activate injury prevention exercise programme has not been assessed in an applied context. This study aimed to (1) describe the knowledge and perceptions of school rugby coaches and players towards injury risk, prevention and Activate and (2) evaluate Activate implementation in schoolboy rugby using the reach, effectiveness, adoption, implementation and maintenance framework.MethodsBespoke electronic surveys were administered to coaches (including support staff) and players at participating English schools (2018–2020). Most questions and statements were answered using a 7-point Likert scale. At baseline, participants detailed their Activate awareness and perceptions of injury risk and prevention in schoolboy rugby. At postseason, participants reported Activate use throughout the study and their perceptions towards the programme.ResultsAt baseline, significant differences existed between coaches (n=106) and players (n=571) in Activate awareness (75% and 13% respectively; χ2=173.5, p<0.001). Coaches perceived rugby had a significantly greater injury risk than players, while holding more positive perceptions towards injury prevention. At postseason, coaches reported greater Activate adoption compared with players (76% and 18% respectively; χ2=41.8, p<0.001); 45% of players were unaware if they used the programme. Median session adherence was twice weekly, with a median duration of 10–15 min. This suggests Activate was not implemented as intended, with recommendations of three 20 min sessions per week. Both groups identified common barriers to implementation, such as lack of time and inclusion of a ball.ConclusionCoaches are instrumental in the decision to implement Activate. Targeting behavioural change in these individuals is likely to have the greatest impact on intervention uptake.


2012 ◽  
Vol 18 (Suppl 1) ◽  
pp. A153.2-A153
Author(s):  
Wilson Nick ◽  
Summers Jennifer ◽  
Michael Baker

2021 ◽  
Author(s):  
Rhys Hughes ◽  
Matt Cross ◽  
Keith Stokes

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.


2011 ◽  
Vol 63 (6) ◽  
pp. 429-433 ◽  
Author(s):  
Dilip Kumar Das ◽  
Michael G. Baker ◽  
Kamalesh Venugopal

2017 ◽  
Vol 12 (2) ◽  
pp. 175-182 ◽  
Author(s):  
Padraic J Phibbs ◽  
Ben Jones ◽  
Gregory AB Roe ◽  
Dale B Read ◽  
Joshua Darrall-Jones ◽  
...  

Limited information is available regarding the training loads of adolescent rugby union players. One-hundred and seventy male players (age 16.1 ± 1.0 years) were recruited from 10 teams representing two age categories (under-16 and under-18) and three playing standards (school, club and academy). Global positioning systems, accelerometers, heart rate and session-rating of perceived exertion (s-RPE) methods were used to quantify mean session training loads. Session demands differed between age categories and playing standards. Under-18 academy players were exposed to the highest session training loads in terms of s-RPE (236 ± 42 AU), total distance (4176 ± 433 m), high speed running (1270 ± 288 m) and PlayerLoad™ (424 ± 56 AU). Schools players had the lowest session training loads in both respective age categories. Training loads and intensities increased with age and playing standard. Individual monitoring of training load is key to enable coaches to maximise player development and minimise injury risk.


2018 ◽  
Vol 53 (15) ◽  
pp. 969-973 ◽  
Author(s):  
James Rafferty ◽  
Craig Ranson ◽  
Giles Oatley ◽  
Mohamed Mostafa ◽  
Prabhat Mathema ◽  
...  

ObjectivesTo investigate concussion injury rates, the likelihood of sustaining concussion relative to the number of rugby union matches and the risk of subsequent injury following concussion.MethodsA four-season (2012/2013–2015/2016) prospective cohort study of injuries in professional level (club and international) rugby union. Incidence (injuries/1000 player-match-hours), severity (days lost per injury) and number of professional matches conferring a large risk of concussion were determined. The risk of injury following concussion was assessed using a survival model.ResultsConcussion incidence increased from 7.9 (95% CI 5.1 to 11.7) to 21.5 injuries/1000 player-match-hours (95% CI 16.4 to 27.6) over the four seasons for combined club and international rugby union. Concussion severity was unchanged over time (median: 9 days). Players were at a greater risk of sustaining a concussion than not after an exposure of 25 matches (95% CI 19 to 32). Injury risk (any injury) was 38% greater (HR 1.38; 95% CI 1.21 to 1.56) following concussion than after a non-concussive injury. Injuries to the head and neck (HR 1.34; 95% CI 1.06 to 1.70), upper limb (HR 1.59; 95% CI 1.19 to 2.12), pelvic region (HR 2.07; 95% CI 1.18 to 3.65) and the lower limb (HR 1.60; 95% CI 1.21 to 2.10) were more likely following concussion than after a non-concussive injury.ConclusionConcussion incidence increased, while severity remained unchanged, during the 4 years of this study. Playing more than 25 matches in the 2015/2016 season meant that sustaining concussion was more likely than not sustaining concussion. The 38% greater injury risk after concussive injury (compared with non-concussive injury) suggests return to play protocols warrant investigation.


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