2022
DOI: 10.1111/sms.14226
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Influence of playing surface on match injury risk in men's professional rugby union in England (2013–2019)

Abstract: The use of artificial playing surfaces in professional rugby union is growing, but their effect on the injury risk profile remains unclear. The aim of this study was to examine the effect of playing surface on match injury risk in men's professional rugby in England. Six seasons of injury data (2013/14–2018/19) were collected from 15 professional English, men's rugby teams participating in domestic and European competition. The incidence, severity, and burden of match injuries were compared across playing surf… Show more

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Cited by 6 publications
(2 citation statements)
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“…This research was carried out in Norway, where artificial turf is common. Artificial turf possesses a different ground hardness and ball bounce and velocity compared to natural grass, which may impact the generalizability of our results 38 . Moreover, our findings may not be generalizable to younger players or other levels of play 32,39 …”
Section: Discussionmentioning
confidence: 81%
“…This research was carried out in Norway, where artificial turf is common. Artificial turf possesses a different ground hardness and ball bounce and velocity compared to natural grass, which may impact the generalizability of our results 38 . Moreover, our findings may not be generalizable to younger players or other levels of play 32,39 …”
Section: Discussionmentioning
confidence: 81%
“…However, several different values for ‘N’ in Equation 1 have been used within the literature. Many studies, including the International Olympic Committee consensus statement, 3 use the total number of athlete days absence, while others have used the injury burden rate itself 6 or the injury count 7 ; each approach produces a different CI width ( table 1 ) and could therefore hugely impact on the interpretation of the burden rate. For example, using the total number of injury days as the ‘N’ value produces a CI that is extremely narrow when the total number of injury days is large, greatly increasing the likelihood of making a type I error.…”
Section: Estimating Uncertaintymentioning
confidence: 99%