Nutrition needs assessment of young Special Olympics participants
Bibliographic record
Abstract
BACKGROUND: Children with intellectual disability (ID) are at increased risk for obesity and nutrition-related health concerns, yet there is a paucity of data describing their nutrition status. The purpose of this study was to evaluate nutritional challenges of young participants (2?10 years of age) enrolled in Special Olympics Canada (SOC) programs. METHOD: A validated nutrition screening tool was mailed to 52 parents/caregivers of participants across 18 SOC programs in British Columbia, Canada. RESULTS: Of the 29 (55.8%) questionnaires returned, 62.1% scored as "high" nutrition risk. Nutrition concerns included feeding (84.2%), oral motor (57.9%), and dental problems (26.3%), food allergies/intolerances (26.3%), constipation (15.8%), anaemia (10.3%), and diarrhoea (5.3%). Body mass index (BMI) for age data classified 16.7% of participants as overweight/obese and 22.2% as underweight. CONCLUSIONS: This study identifies some of the unique nutrition issues faced by children with ID. These data can help inform future ID health-related nutrition, prevention, and treatment programs.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".