Symptom Experience and Quality of Life in Children after Sport-Related Head Injuries: A Cross-Sectional Study
Bibliographic record
Abstract
BACKGROUND: Sports are a major cause of concussions, and little is known about the symptom experience and health-related quality of life (HRQL) in children who remain symptomatic for over 3 months following such head injuries. METHODS: A cross-sectional study of children aged 10-18 years was performed who were referred to the Neurosurgery Clinic at our centre following a head injury. Symptom experience was measured using the modified Concussion Symptom Scale, and HRQL was measured using the Pediatric Quality of Life Inventory (PedsQL). The Immediate Postconcussion Assessment and Cognitive Test (ImPACT) was administered to assess neurocognitive and neurobehavioural sequelae. RESULTS: Symptoms with the highest mean symptom scores on a Likert scale of 0-6 in 35 children at the time of assessment included headaches (3.1), poor concentration (2.7), memory problems (2.1), fatigue (2.1) and sensitivity to noise (2.0). Compared with normative data, children in this study had ImPACT summary scores between the 28th and 38th percentiles and a comparably low Cognitive Efficiency Index score. Mean scores for females were consistently statistically significantly lower (p < 0.05) than for males across all of the HRQL domains. Trouble falling asleep and memory problems explained 62% of the variance in the PedsQL total scores. CONCLUSIONS: Children continue to experience many symptoms at least 3 months following sport-related head injuries that significantly impact their HRQL and neurocognitive abilities.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".