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Record W3216962245 · doi:10.1136/bjsports-2021-ioc.413

451 Who? What? Where? Why? Describing the patterns of injury in high school male collision sports

2021· article· en· W3216962245 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePoster presentations · 2021
Typearticle
Languageen
FieldMedicine
TopicDiverse Approaches in Healthcare and Education Studies
Canadian institutionsAlberta Children's HospitalAlberta Bone and Joint Health InstituteUniversity of Calgary
Fundersnot available
KeywordsFootballIce hockeyConcussionAthletesAmerican footballInjury preventionPoison controlPhysical therapyCollisionMedicinePsychologyPhysical medicine and rehabilitationComputer securityMedical emergencyComputer scienceGeography

Abstract

fetched live from OpenAlex

<h3>Background</h3> Collision sports (Canadian football, ice hockey, lacrosse, rugby) are popular among Canadian male youth, however it is recognised that collision sports are associated with a high risk of injury. <h3>Objective</h3> To describe the patterns of collision sport-related injury in Canadian male high school athletes. <h3>Design</h3> Secondary analysis of a cross-sectional survey. <h3>Setting</h3> High schools (Alberta, Canada) <h3>Participants</h3> 360 male students (of 2029 respondents), who play at least one of Football, Hockey, Lacrosse or Rugby. <h3>Assessment of Risk Factors</h3> An anonymous online survey included questions regarding the mechanism, site, type, and nature of collision sport injuries. <h3>Main Outcome Measurements</h3> Sport-related injury self-reported in the past year. <h3>Results</h3> Of the 2029 survey respondents, 958 (47.2%) were male of which 360 (37.6%) reported playing at least one collision sport. Of all serious injuries reported by males, collision sports accounted for 33% [hockey: 63(17%), football: 41(11%), lacrosse: 9(3%), rugby 8(2%)]. The head/face accounted for the largest proportion of injuries (hockey: 25.4%, football: 24.4%, lacrosse: 33.3%, rugby 50.0%). Concussion was the most common injury in rugby (50.0%) and football (24.4%) and fractures the most common in hockey (27.0%) and lacrosse (44.4%). Contact with another player was the most frequently reported mechanism of injury (rugby: 87.5%, football: 77.1%, lacrosse: 66.7%, hockey: 57.4%), with most injuries related to contact by a player who was bigger or the same size as the injured player (hockey/rugby:100%, lacrosse: 83.3%, football: 81.5%). <h3>Conclusions</h3> Sport-related injuries in male collision sports are common, with four sports accounting for 33% of all reported injuries across male Canadian high school sports. Head/face injuries were the most common, with the majority of injuries occurring due to contact with another player. There is scope to consider primary prevention strategies such as contact training and rule changes to address the risk of injury in youth collision sport.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.572

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.106
GPT teacher head0.350
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it