RISK FACTORS FOR SPORT INJURY IN ELEMENTARY SCHOOL CHILDREN: ARE CHILDREN WITH DEVELOPMENTAL COORDINATION DISORDER OR ATTENTION DEFICIT HYPERACTIVITY DISORDER AT GREATER RISK OF INJURY?
Bibliographic record
Abstract
Background Studies examining risk factors for sport injury in elementary school children are few. The risk of sport injury in special populations including Developmental Coordination Disorder (DCD) and Attention Deficit Hyperactivity Disorder (ADHD) has not been previously examined. Objective To examine risk factors for sport injury in elementary school students (ages 9–12), including special populations (DCD and ADHD). Design Cross-sectional study. Setting A survey was sent home with students in 26 randomly selected Calgary (Canada) elementary schools. Participants Children ages 9–12 years (n=540). Risk factor assessment The primary risk factors of interest were probable DCD (pDCD) and ADHD. Other risk factors considered included age, sex, ethnicity, highest level of parent education, stressful life events (previous year), receiving coaching in at least 1 sport, and body mass index. Main outcome measurements Injury definitions included any sport injury in the previous year and sport injury in the previous year requiring medical attention. Results Based on univariate Poisson regression (adjusted for exposure hours and cluster) the risk of all sport injury in the previous year in typically developing children did not differ from children with either pDCD (n=150, Incidence Rate Ratio (IRR=1.02 [95% CI 0.7–1.5]) or ADHD (n=87, IRR=0.94 [95% CI 0.58–1.55]). Children with ADHD were at a greater risk of sport injury requiring medical attention compared to those without ADHD (IRR: 1.82 [95% CI 1.23–2.68]). No other risk factors were identified based on univariate analysis. Conclusions Children (9–12 years) with pDCD and ADHD were at a similar risk of sport injury in the previous year as typically developing children. Children with ADHD were at an 82% greater risk of sport injury requiring medical attention than children without the disorder. This study will inform the development of injury prevention strategies for future studies in elementary school targeting children with ADHD.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".