Patterns of daily activity among young people with epilepsy
Bibliographic record
Abstract
AIM: To: (1) explore how young people with epilepsy spend time on physical activity, screen-time, and sleep in a 24-hour period; (2) compare these findings to young people without epilepsy; and (3) evaluate the findings relative to the Canadian 24-hour movement guidelines for children and youth. METHOD: The study is based on Canadian data from the 2013 to 2014 'Health Behaviour in School-aged Children study' (HBSC), a cross-sectional sample of young people aged 10 to 17 years. Three groups participated: 163 young people with epilepsy, 3613 young people with non-neurological conditions, and 18 339 population norms. Self-reported activity data were compared across groups. RESULTS: Demographics were similar across groups. Young people with epilepsy spent 5.8 hours per week on moderate-to-vigorous physical activity versus 5.6 hours per week in population norms; 32% met the recommended 1 hour or more per day. Screen-time was 8.7 hours per day versus 7.4 hours per day in population norms; only 5.4% met the 2 hours or less per day recommendation. Sleep duration was 10.2 hours per day versus 9.8 hours per day in population norms, and 50.7% met the recommendation. Overall, 25.7% of young people with epilepsy did not meet any of the guidelines, 60.5% met one, 13.5% met two, and 0.3% met all three recommendations; whereas 2.8% of population norms and 2% of young people with non-neurological conditions met all three recommendations. INTERPRETATION: These data could inform future interventions and alert policy-makers, health care professionals, parents, educators, and advocacy-groups to the low adherence of young people with epilepsy with Canadian guidelines and their risk for poor health. WHAT THIS PAPER ADDS: Young people with epilepsy adhere poorly to Canadian guidelines for daily sleep duration, physical activity, and sedentary screen time. Young people with epilepsy accumulate more screen-time than those with non-neurological conditions or population norms.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".