7.10 Symptoms related to oculomotor/vestibulo-ocular function and dizziness are related to poorer school quality of life in children and adolescents post-concussion
Bibliographic record
Abstract
Objective To investigate the relationship between oculomotor/vestibulo-ocular (OM-VO) function, dizziness symptoms, and level/quality of return to school after sport-related concussion in children and adolescents. Design Cross-sectional substudy of a larger longitudinal study. Setting Pediatric Concussion Programs in Montreal and Calgary. Participants 93 participants aged 8–17 years (median age = 14.4 years; 54% female; median time since injury = 10.3 days) with a sport-related concussion. Assessment of Risk Factors Participants were tested for OM-VO performance and symptom provocation (VOMS). They also were asked to report the impact of their dizziness on functioning using the Dizziness Handicap Inventory (DHI). Outcome Measures Level of participation in school activities, as well as school-related quality of life (PedsQL School subscale). Main Results At the time of assessment 87.2% of concussion patients had returned to school, but 72% required accommodations. No differences in OM-VO function were found between those who had returned to school and those who had not, but those who did rated their School QoL at a median score of 65% (IQR 55–80). School QoL was negatively correlated with the DHI rs =-0.523; p<001, and total VOMS symptoms change score rs= -0.293; p=0.015, but not to any measure of OM-VO performance. Conclusions In children who have returned to school 10 days post-injury, symptoms provoked by OM-VO testing and high DHI scores are both associated with poor School QoL but performance on clinical OM-VO function tests does not relate to either level or quality of return to school. Further research into factors promoting a more satisfying return to school is warranted in this population.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".