Injury Rates in Youth Street Dancers
Bibliographic record
Abstract
BACKGROUND: An increased concern for injury risk is associated with the rising popularity in street dance. Stunting movements in street dance are comparable to movements in aesthetic sports with documented high risks of concussions (e.g., cheerleading and gymnastics). Limited literature comments on street dance-related injuries and concussions in youth. PURPOSE: To assess dance-related injury risk among youth street dancers aged 11-19 years across a 6-month term in Calgary, Canada. METHODS: This prospective cohort study is a substudy of the national Surveillance in High Schools to Reduce Concussions study (SHRed Concussions). Dancers aged 11-19 years and registered in at least one street dance class/week in the 2021-2022 season were recruited from private dance studios and high school dance teams in Calgary. Team designates completed weekly exposure forms detailing street dance style, participation (full, partial), and injury circumstance (dance/non-dance injury). Suspected self-reported physical complaint injuries/concussions were referred to sport medicine physicians/therapists for follow-up. Analysis included descriptive statistics (participant demographics, injury characteristics), injury incidence rate (no. of new injuries/1,000 dance-hours, 95%CI), and prevalence (%, 95%CI). RESULTS: Forty dancers (20 female) with a median age of 16.2 years (range 11.1-19.8) participated and reported 19 dance-related injuries. Proportion of dancers reporting at least 1 physical complaint was 37.5% and the estimated injury incidence rate was 4.5 injuries/1,000 dance-hours (95%CI: 4.4, 7.5). Injuries occurred most frequently in the knee (47.4%) and during breaking (44.4%). Most injuries were acute onset (57.9%) and classified as joint/ligament sprains (33.3%) and muscle strains (33.3%). One concussion was reported. CONCLUSION: The prevalence and incidence of physical complaint injuries in youth street dancers is high with the majority categorized as acute and occurring in the knee. Further epidemiological research in youth street dance is needed to identify potential risk factors and inform risk reduction strategies in this unique dancer population.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".