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DOES INJURY DEFINITION MATTER? THE INFLUENCE OF INJURY DEFINITION ON INTERPRETATIONS OF INJURY RISK IN PRE-PROFESSIONAL BALLET AND CONTEMPORARY DANCERS

2017· article· en· W2606369738 on OpenAlexaff
Sarah Kenny, Luz Palacios‐Derflingher, Jackie L. Whittaker, Carolyn A. Emery

Bibliographic record

VenueBritish Journal of Sports Medicine · 2017
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsUniversity of AlbertaUniversity of Calgary
Fundersnot available
KeywordsBalletDanceMedicinePhysical therapySports medicineClassical balletPopulationInjury preventionPoison controlCohort studyEmergency medicineInternal medicine

Abstract

fetched live from OpenAlex

Background The influence of injury definition on the interpretation of epidemiological outcomes of injury risk has not been previously evaluated in a dance population. Objective To determine the influence of injury definition (i.e., time loss, medical attention, all complaints) on the prevalence and rate of musculoskeletal injuries in pre-professional ballet and contemporary dancers. Design Prospective cohort. Setting Pre-professional ballet school; university dance program. Participants Dancers registered in full-time pre-professional ballet [n=85, 77 females, median (range) age 15 yrs (11–19 yrs)] and contemporary [n=60, 58 females, 19 yrs (17–30 yrs)] training. Main Outcome Measurements Dancers completed a weekly online questionnaire (modified Oslo Sports Trauma Research Centre's Questionnaire on Health Problems) using three definitions for dance-related injuries: (1) time loss (an inability to complete one or more classes, rehearsals or performances one or more days beyond onset); (2) medical attention; and (3) any complaint. Physiotherapists completed injury report forms, capturing dance-related medical attention and time loss injuries. Percent agreement was estimated between injury registration methods. Descriptive statistics [proportions, 95% confidence intervals (95% CI)] summarized injury prevalence (IP; seasonal proportion of dancers injured). Injury incidence rates (IIR; number of new injuries/1000 dance exposure hours) were examined for each definition, registration method, and dance style. Results Dancer questionnaire response rate was 98.99%. Agreement between injury registration methods ranged between 58.82% (time loss) and 72.94% (medical attention). Depending on definition, registration, and dance style, IP varied from 9.41% (95% CI: 4.15, 17.71; time loss) to 82.35% (95% CI: 72.56, 89.77; all complaint), and IIRs spanned 0.09 (95% CI: 0.01, 0.17; time loss) to 4.89 (95% CI: 4.04, 5.74; all complaint) injuries/1000 dance hours. Conclusions Injuries resulting in time loss and medical attention underestimate the burden of injury in a pre-professional dance population. To understand the full impact of injury on a dance population, it is imperative that registration methodologies consider definitions that capture all injuries.

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 score0.124
Threshold uncertainty score0.418

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.018
GPT teacher head0.306
Teacher spread0.288 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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