Musculoskeletal symptomatology in skeletally immature students carrying heavy backpacks: a cross-sectional study.
Bibliographic record
Abstract
Background: Young students with skeletal immaturity report an increasing number of musculoskeletal symptoms associated with daily use of heavy backpacks. This cross-sectional study investigated the relationship between heavy backpack use and reports of pain. Methods: Data were collected from 300 students aged 11 to 18 at the University of Toronto Schools. Results: Students, on average, carried 15.9% of their body weight. 54% of students reported physiological complaints, primarily back, shoulder, neck, and leg pain. Backpack weight as a % of body weight was strongly associated with pain complaints. Younger students and those with longer commutes were more likely to report heavy backpacks (50% compared to 22.6% of older students, p< .001) and pain. Conclusion: Carrying heavy backpacks could result in increased musculoskeletal complaints in young students. Findings suggest that even the upper bound of currently recommended guidelines (20% of body weight) may be too high, especially for younger children.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".