THE INFLUENCE OF PREVIOUS INJURY HISTORY ON HEALTH AND FITNESS OUTCOMES IN JUNIOR HIGH SCHOOL STUDENTS
Bibliographic record
Abstract
Background Children and youth who sustain a sport and recreational (S&R) injury may be at greater risk of attributing long-term unhealthy body composition and low physical fitness. Objective To assess the potential influence of previous S&R injury on body composition, cardiorespiratory fitness, musculoskeletal strength, and dynamic balance in junior high school students. Design Cross-sectional. Setting Junior high schools in Calgary, Alberta, Canada. Participants Students aged 11–16 years (n=1,039; 584 males and 455 females) from six junior high schools. Assessment of Risk Factors Participants reported information on demographics, sport participation over the previous year, and S&R injuries sustained in the previous 12 months via a questionnaire. Main Outcome Measurements Physical fitness measures included predicted VO2max from a 20-m shuttle run to assess cardiorespiratory fitness, vertical jump to assess lower body musculoskeletal fitness, and the Y-balance and unipedal eyes closed balance tests to assess dynamic balance. Health outcome measures to assess body composition included waist circumference, and body mass index (BMI) calculated from height and weight measures. Statistical analyses (adjusting for age, sex, and mean weekly hours of sport participation) to assess the association between previous S&R injury (yes/no) and each outcome included multivariable logistic regression for body composition measures and multivariable linear regression for physical fitness measures. Results One hundred eighty-eight (18.1%) students reported sustaining a S&R injury in the previous year. Previously injured participants had significantly higher BMI (OR=1.82, 99% CI 1.07–3.11) compared to uninjured participants. Exploratory analysis results suggest a more in-depth look at the association between number of previous injuries and body composition. Conclusions Participants with a history of injury demonstrated unhealthier body composition compared to uninjured participants. Body composition should be considered in future injury prevention research in youth.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".