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Record W2129195793 · doi:10.1542/peds.2006-2672

Injuries in Canadian Youth Ice Hockey: The Influence of Relative Age

2007· article· en· W2129195793 on OpenAlexaffabout
Nick Wattie, Stephen Cobley, Alison Macpherson, Andrew Howard, William Montelpare, Joseph Baker

Bibliographic record

VenuePEDIATRICS · 2007
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsLakehead UniversityYork UniversityHospital for Sick ChildrenSickKids FoundationInstitute for Clinical Evaluative SciencesPopulation Health Research Institute
Fundersnot available
KeywordsIce hockeyMedicineInjury preventionRelative riskLeaguePoison controlDemographyOccupational safety and healthSuicide preventionHuman factors and ergonomicsMedical emergencyPhysical medicine and rehabilitationConfidence intervalInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of this study was to investigate the relationship between relative age and injury prevalence in Canadian youth ice hockey. METHODS: In study 1, youth ice hockey-related injuries (among children 10-15 years of age) collected by the Canadian Hospitals Injury Reporting and Prevention Program between 1995 and 2002 were analyzed. The relative ages of injured children were compared across different age groups and injury characteristics (mechanism of injury and severity of injury). In study 2, injuries reported in the Hockey Canada Insurance Database were analyzed. The relative ages of injured children at different levels of play (ie, representative versus house league teams) were compared. RESULTS: In study 1, the majority of injured players were of older relative age. However, relative age was not related to mechanism of injury or severity of injury. In study 2, approximately 40% of injured players at the highest level of play were relatively older, whereas only 20% to 25% of house league injured players were relatively older. CONCLUSION: Relatively older children within ice hockey age groups are at increased risk of injury compared with their younger peers. Furthermore, the risk of injury for relatively older players is greater at more competitive levels of play. This study proposes that the relative age advantage associated with selection to Canadian youth ice hockey teams is accompanied by an increased risk of injury.

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.

How this classification was reachedexpand

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)0.001
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 score0.008
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.272
Teacher spread0.261 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations76
Published2007
Admission routes2
Has abstractyes

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