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Record W2043210151 · doi:10.1097/jsm.0b013e31826a86c9

The Role of Psychosocial Risk Factors for Injury in Elite Youth Ice Hockey

2012· article· en· W2043210151 on OpenAlexaffabout
Carly McKay, Tavis S. Campbell, Willem Meeuwisse, Carolyn A. Emery

Bibliographic record

VenueClinical Journal of Sport Medicine · 2012
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsIce hockeyMedicinePsychosocialPhysical therapyConcussionConfidence intervalAnxietyPopulationPercentileCohortRisk factorPoison controlCohort studyInjury preventionDemographyPsychiatryPhysical medicine and rehabilitationMedical emergencyInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the risk of injury associated with athletic identity, attitudes toward body checking, competitive state anxiety, and reinjury fear in elite youth ice hockey. Also, to determine if there is an elevated risk of subsequent injury associated with return to play before medical clearance. DESIGN: Cohort study. SETTING: Hockey arenas, Calgary, Alberta. PARTICIPANTS: A total of 316 male participants from 18 elite (A, AA, AAA), Bantam (age, 13-14 years), and Midget (age, 15-17 years) teams. ASSESSMENT OF RISK FACTORS: At season commencement and postinjury, participants completed the athletic identity measurement scale, competitive state anxiety inventory-2R, body checking questionnaire, and fear of reinjury questions. MAIN OUTCOME MEASURES: Hockey injury resulting in medical attention, the inability to complete a hockey session, and/or missing a subsequent hockey session. RESULTS: Players scoring below the 25th percentile in athletic identity were at increased risk of a first injury [incidence rate ratios (IRR), 1.53; 95% confidence interval (CI), 1.05-2.22], but scoring above the 25th percentile was associated with subsequent injury (IRR = 2.28; 95% CI, 1.01-6.04). There was no increase in risk associated with return to play before clearance (IRR, 1.58; 95% CI, 0.30-5.42). CONCLUSIONS: Athletic identity was implicated as an injury risk factor in this population. Return to play before medical clearance was not a risk factor in this study, but the point estimate warrants additional investigation.

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)0.007
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 score0.127
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.062
GPT teacher head0.440
Teacher spread0.378 · 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

Citations35
Published2012
Admission routes2
Has abstractyes

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