Sociodemographic Predictors of Sport Injury in Adolescents
Bibliographic record
Abstract
OBJECTIVE: To examine sociodemographic risk factors for sport injury in adolescents. METHODS: This is a cross-sectional survey design in which a random sample of high school students (ages 14-19) completed an in-class survey (N = 2721). Students were asked questions regarding sociodemographic factors, sport participation, and sport injury in the past year. RESULTS: The incidence proportion of self-reported and medically treated sports injury, adjusting for the clustering effect of school, was 67.5 (95% CI; 64.2-71.1) and 43.2 (95% CI; 40.4-46.3) per 100 adolescents per year, respectively. Students from small towns had a lower risk of injury than those in the larger urban center (ORadjusted = 0.76, 95% CI 0.63-0.92). Non-Caucasian students had a lower risk of injury than did Caucasian students (ORadjusted = 0.63 (95% CI 0.5-0.79) for all sport injury and 0.57 (95% CI 0.47 - 0.7) for medically treated sport injury. Students with BMI in the 50th-90th percentiles had the greatest risk of sport injury. The risk of injury increased with weekly hours of participation. CONCLUSIONS: Location of residence, weekly exposure (participation hours), ethnicity, and BMI were simultaneous predictors of sport injuries in adolescents.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".