044 Evaluation of body checking policy for injury prevention in non-elite adolescent ice hockey players
Bibliographic record
Abstract
Background Body checking is associated with an increased risk of injury and concussion in Pee Wee (ages 11–12) and non-elite (lower 70% by division of play) Bantam (ages 13–14) ice hockey players. This research informed local and provincial policy changes disallowing body checking in non-elite Midget (ages 15–17). Objective To evaluate the rate ratios of game-related injury and concussion in non-elite Midget players following policy change disallowing body checking in games compared with similar leagues still allowing body checking. Design Prospective cohort. Setting Community ice hockey rinks. Participants Non-elite Midget ice hockey players from 44 teams (453 player-records) where policy disallowed body checking in the lower 70% of divisions of play, and 52 teams (674 player-records) from similar divisions where policy allowed body checking; 120 players participated in more than one season. Assessment of Risk Factors Exposure to policy that permits body checking (Edmonton 2015–17 and Calgary 2015–18) vs. policy disallowing body checking (Vancouver 2015–16, Edmonton 2016–17, and Calgary 2016–18). Main Outcome Measurements All game-related ice hockey-related injuries were identified by a team safety designate. Suspected concussions were referred to a study sport medicine physician. Results In divisions allowing body checking, there were 213 injuries [incidence rate (IR)= 12.96/1000 player-hours; 95% CI: 9.21–16.70] including 69 concussions (IR= 4.20/1000 player-hours; 95% CI: 2.63–5.76). In divisions disallowing body checking, there were 40 injuries (IR=5.13/1000 player-hours; 95% CI: 1.71–8.56) including 18 concussions (IR= 2.31/1000 player-hours; 95% CI: 0.62–4.00). Using multilevel Poisson regression adjusted for cluster and several important covariates (year of play, player weight, previous injury/concussion history, position), policy disallowing body checking was associated with a lower rate of all injury [incidence rate ratio [IRR]=0.38; 95% CI: 0.24–0.60), and concussion (RR=0.49; 95% CI: 0.26–0.89). Conclusions Policy disallowing body checking reduced the rate of game-related injuries in Midget non-elite levels of ice hockey. This research should inform body checking policy change nationally.
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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 | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".