Shoulder Check: Investigating Shoulder Injury Rates, Types, Severity, Mechanisms, and Risk Factors in Canadian Youth Ice Hockey

Author:

Gibson Eric S.12ORCID,Eliason Paul H.1345,West Stephen W.167,Black Amanda M.1345,Lebrun Constance8,Emery Carolyn A.13459,Pasanen Kati1231011

Affiliation:

1. Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada;

2. Integrative Neuromuscular Sport Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada;

3. Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada;

4. O'Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada;

5. Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada;

6. Department for Health, Centre for Health, Illness, and Injury Prevention in Sport, University of Bath, Bath, United Kingdom;

7. UK Collaborating Centre on Injury and Illness Prevention in Sport, Bath, United Kingdom;

8. Department of Family Medicine, Faculty of Medicine & Dentistry, and Glen Sather Sports Medicine Clinic, University of Alberta, Edmonton, AB, Canada;

9. Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada;

10. McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, AB, Canada; and

11. Tampere Research Center of Sports Medicine, UKK Institute, Tampere, Finland.

Abstract

Objective: To describe shoulder-related injury rates (IRs), types, severity, mechanisms, and risk factors in youth ice hockey players during games and practices. Design: Secondary analysis of data from a 5-year prospective cohort study, Safe-to-Play (2013-2018). Setting: Canadian youth ice hockey. Participants: Overall, 6584 player-seasons (representing 4417 individual players) participated. During this period, 118 shoulder-related games and 12 practice injuries were reported. Assessment of Risk Factors: An exploratory multivariable mixed-effects Poisson regression model examined the risk factors of body checking policy, weight, biological sex, history of injury in the past 12 months, and level of play. Main Outcome Measures: Injury surveillance data were collected from 2013 to 2018. Injury rates with 95% confidence interval (CI) were estimated using Poisson regression. Results: The shoulder IR was 0.35 injuries/1000 game-hours (95% CI, 0.24-0.49). Two-thirds of game injuries (n = 80, 70%) resulted in >8 days of time-loss, and more than one-third (n = 44, 39%) resulted in >28 days of time-loss. An 83% lower rate of shoulder injury was associated with policy prohibiting body checking compared with leagues allowing body checking (incidence rate ratio [IRR], 0.17; 95% CI, 0.09-0.33). A higher shoulder IR was observed for those who reported any injury in the last 12-months compared with those with no history (IRR, 2.00; 95% CI, 1.33-3.01). Conclusions: Most shoulder injuries resulted in more than 1 week of time-loss. Risk factors for shoulder injury included participation in a body-checking league and recent history of injury. Further study of prevention strategies specific to the shoulder may merit further consideration in ice hockey.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine

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