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Are we currently underestimating the risk of scrum-related neck injuries in rugby union front-row players?
  1. James C Brown1,2,
  2. Mike I Lambert1,
  3. Sharief Hendricks1,
  4. Clint Readhead3,
  5. Evert Verhagen2,
  6. Nicholas Burger1,
  7. Wayne Viljoen3
  1. 1UCT/MRC Research Unit for Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
  2. 2Department of Public and Occupational Health, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
  3. 3South African Rugby Union (SARU), Cape Town, South Africa
  1. Correspondence to James C Brown, UCT/MRC Research Unit for Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town 7700, South Africa; jamesbrown06{at}gmail.com

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Injury epidemiology—the quantification of ‘EXPOSURE’

To understand the risk of incurring a particular rugby injury, and to identify risk factors related to this injury, it is necessary to know the injury counts and the time that the players are exposed to the risk of sustaining that injury.1 The latter poses an interesting debate with respect to the scrum as there are various ways in which the exposure can be expressed. While they are not the only two methods, ‘exposure’ in sports injury epidemiology has often been calculated either by the ‘Athlete at risk’ method or the ‘Athlete participation’ method.2Embedded Image

Embedded ImageThe ‘athlete participation’ method is sometimes the only way to calculate injury incidence rates for certain investigations, such as for catastrophic injury risk,3 in which data are mainly collected retrospectively. However, this method typically underestimates injury rates as the exact time at risk is not quantified.2 Where match time is recorded, the current consensus statement for the surveillance of injuries in rugby union4 provides a formula for the calculation of match exposure. This consensus statement, which defines terms and preferred methodology, has significantly advanced the quality of research on injuries associated with rugby union by offering guidelines for a standardised approach, enabling universal comparison of injury risk and risk factors.5

‘Athlete at risk’—nuances of the calculation

For the majority of rugby union epidemiological studies, it is assumed that within one team (Team A) 15 players (the number of players per team on the field at one time) are at risk for Y minutes (80 min for senior level) over Z number of matches during a season/tournament.1 ,4

This exposure calculation assumes that all 15 players of the team are at equal risk of injury during this time: Y (minutes of match) ×Z (number of matches). However, the 15 players are comprised of two broad positional groupings: …

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