EVALUATION OF A BODY CHECKING POLICY CHANGE AS AN INJURY PREVENTION STRATEGY FOR NON-ELITE YOUTH ICE HOCKEY PLAYERS
Bibliographic record
Abstract
Background In Pee Wee (ages 11–12) ice hockey, body checking is associated with an increased risk of injury and concussion. In 2011, research informed some provincial policy change, disallowing body checking in non-elite Pee Wee leagues. Objective To determine if the risk of injury and concussion differ for non-elite Pee Wee ice hockey players in leagues where body checking is permitted (Alberta, Canada) compared to leagues where prospective policy change disallows body checking (Ontario, Canada). Design Cohort study. Setting Ice hockey rinks (2011/12 season). Participants Non-elite (lower 70%) Pee Wee ice hockey players from Alberta (n=590) and Ontario (n=281). Risk factor assessment Exposure to a Pee Wee league where policy permits body checking. Other risk factors included previous concussion/injury, year of play, level of play, position and attitudes toward body checking. Main outcome Measurement Suspected concussions were identified by a team designate and referred to a sport medicine physician. Hockey injuries included those requiring medical attention or time loss. Results There were 101 game injuries (incidence rate [IR]=4.19/1000 game hours [95% CI; 3.38–5.18]), and 67 game concussions ([IR]=2.78/1000 game hours [95% CI; 2.19–3.52]) in Alberta and 14 game injuries (IR=1.60/1000 game hours [95% CI; 0.87–2.94]) and 8 concussions (IR=0.91/1000 game hours [95% CI; 0.41–2.06]) in Ontario. Based on multivariate poisson regression (adjusted for cluster, exposure hours and other risk factors), incidence rate ratio associated with policy allowing body checking was 2.97 (95% CI; 1.33–6.61) for game injury and 2.83 (95% CI; 1.09–7.31) for concussion. Conclusions The risk of injury and concussion was 3-fold greater in non-elite Pee Wee hockey players in leagues where body checking is permitted. This is similar to previous findings examining retrospective policy change. Policy change disallowing body checking is effective in preventing injury and concussion in non-elite youth ice hockey.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".