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Record W3045084548 · doi:10.7752/jpes.2020.s3292

History of previous concussion and sports-specific skills in youth ice hockey players

2020· article· en· W3045084548 on OpenAlexaffabout
Paul Eliason, Carly McKay, Willem Meeuwisse, Brent Hagel, Luc Nadeau, Carolyn A. Emery

Bibliographic record

VenuePure (University of Bath) · 2020
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversité LavalUniversity of Calgary
Fundersnot available
KeywordsIce hockeyConcussionPsychologyYouth sportsAthletesPhysical therapyApplied psychologyPhysical medicine and rehabilitationMedicineInjury preventionPoison controlMedical emergency

Abstract

fetched live from OpenAlex

Concussions can lead to cognitive or neuromotor impairments which may influence skill performance. Few studies have investigated concussion and sports-specific skill performance, particularly in youth. Therefore, the purpose of this study was to examine previous concussion and components of the Hockey Canada Skills Test, a measure of ice hockey-specific skill performance, in youth ice hockey players (ages 11-17). A secondary purpose was todetermine the test-retest reliability of these components. Players completed a detailed baseline questionnaire on previous concussion history. On-ice measures included forward agility weave, forward/backward speed skate, transition agility, and a 6-repeat endurance skate (all measured in seconds). Multiple linear regression was conducted to examine history of concussion, number of previous concussions, time since most recent concussion, and severity of most recent concussion on on-ice performance. Test-retest reliability was assessed using intraclass correlation coefficients and mean differences with Bland-Altman Limits of Agreement. In total, 596 participants [525 males and 71 females, representing elite (upper 30% by division of play) and non-elite (lower 70%)] were recruited to examine the primary purpose. History of concussion (yes/no) and time since most recent concussion was not associated with any component. Players reporting 2 or more concussions were significantly faster than those with no previous concussion on forward agility weave with the puck. For every additional day to return to play post-concussion, player times were significantly faster on forward agility weave with and without the puck, transition agility without the puck, and backward speed with and without the puck. The intraclass correlation coefficients ranged from 0.50 to 0.92 and the Bland-Altman Limits of Agreement varied by component. These findings indicate players with and without history of concussion have similar on-ice scores, and that the components of the Hockey Canada Skills Test are a reliable measure of on-ice performance.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.042
GPT teacher head0.232
Teacher spread0.190 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2020
Admission routes2
Has abstractyes

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