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In the sport of ice hockey, the incidence of injury has been investigated at multiple levels of participation based on collective player exposure, which assumes equal playing time among participants. However, playing time varies enormously between individual players on a given team due to variability in the number and length of shifts. Individual player monitoring, although labor intensive, more accurately identifies risk factors for sustaining injuries. Specific player exposure data are necessary for detailed analysis of factors such as style of play, illegal activities, equipment, player size, and officiating. In addition, prospective, uniform and accurate collection of exposure data may permit meaningful comparison of injury rates between levels of participation in ice hockey and also among different sports. Refinement of data collection tools that determine individual player injury exposure will increase the power of the denominator and facilitate prevention of ice hockey injuries.
injury risk, statistical methods, population-at-risk
Co-directorProfessor, Mayo Clinic Sports Medicine CenterMayo Clinic, Rochester, MN
Sports Psychology Counselor, Clinical Research Coordinator, Mayo Clinic Sports Medicine Center, Rochester, MN
Mayo Clinic, Rochester, MN