Hand and Wrist Injuries Among Collegiate Athletes: The Role of Sex and Competition on Injury Rates and Severity
Bibliographic record
Abstract
BACKGROUND: There is a high incidence of hand and wrist injuries in athletes participating in collegiate sports, but there is little information published characterizing them. PURPOSE: To characterize hand and wrist injuries in collegiate athletes using a large national database. STUDY DESIGN: Descriptive epidemiology study. METHODS: This retrospective cross-sectional analysis was designed using data from the National Collegiate Athletic Association (NCAA) Injury Surveillance Program database to identify hand and wrist injuries (exclusive of any radial or ulnar fractures) in male and female collegiate athletes participating in NCAA Division I, II, and III sports from 2004 to 2015. Descriptive analyses were performed on stratified data to examine the associations between these injuries and sport, event type, and sex. RESULTS: = .107), injuries were more commonly sustained during competition rather than during practice. Ligamentous injury to the phalynx was the most commonly sustained injury overall (1.416 per 10,000 AEs), and a metacarpal fracture was the most commonly sustained hand or wrist fracture (0.507 per 10,000 AEs). Injuries sustained during men's wrestling (14.08 days) and women's gymnastics (10.39 days) incurred the most time lost from sport. Surgery for hand and wrist injuries was most commonly required for men's football (0.413 per 10,000 AEs) and women's field hockey (0.404 per 10,000 AEs). CONCLUSION: Male athletes experienced injuries with more frequency and severity. Injuries occurred more commonly during competition. While the majority of injuries were minor and did not require surgery, certain sports conferred a much higher risk of significant injuries requiring a surgical intervention.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".