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Record W1539579447 · doi:10.1093/pch/16.4.217

Trends in paediatric sport- and recreation-related injuries: An injury surveillance study at the British Columbia Children's Hospital (Vancouver, British Columbia) from 1992 to 2005

2011· article· en· W1539579447 on OpenAlexaffabout
Kaivon Pakzad-Vaezi, Ash Singhal

Bibliographic record

VenuePaediatrics & Child Health · 2011
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsRecreationInjury surveillanceMedicineMedical emergencyGeographyPediatricsDemographyFamily medicineInjury preventionPoison controlPolitical scienceSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Sport- and recreation-related injuries are a major source of morbidity in the paediatric population. Long-term trends for these injuries are largely unknown. METHODS: A traumatic injury surveillance system (the Canadian Hospitals Injury Reporting and Prevention Program) was used to examine the demographics and trends of paediatric sports injuries in children who presented to or were directly admitted to the British Columbia Children's Hospital (Vancouver, British Columbia) emergency department or intensive care unit from 1992 to 2005. RESULTS: Over the 14-year study period, there was a significant increase in sport- and recreation-related injuries among patients who presented to the British Columbia Children's Hospital. Of 104,414 injuries between 1992 and 2005, 27,466 were related to sports and recreational activities. The number of sport-related injuries increased by 28%, while all-cause injuries did not change significantly. Males comprised 68% of the sport-related injuries, and both sexes displayed an increasing trend over time. Cycling, basketball, soccer and ice hockey were the top four injury-causing activities. The main body parts injured were the face, head and digits. CONCLUSIONS: Paediatric sports injuries significantly increased at the British Columbia Children's Hospital over the 14-year study period. This is likely due to increased sport participation, increased risk associated with certain sports, or both. Trends in paediatric sports injury may be predicted by changes in popular media, possibly allowing prevention programs to help to avoid these injuries before they occur.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.244
Teacher spread0.237 · 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.

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

Citations27
Published2011
Admission routes2
Has abstractyes

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