Mealtime problems in children with Autism Spectrum Disorder and their typically developing siblings: A comparison study
Bibliographic record
Abstract
Many children with autism spectrum disorders (ASD) have mealtime problems. Diagnosis and the social environment may influence eating behaviours. We examined whether children with ASD have more mealtime problems than their typically developing siblings, and whether age and sex are associated with mealtime problems. Forty-eight families participated in this cross sectional study by completing a questionnaire (Eating Profile) for their child with ASD, 3 to 12 years of age. A second Eating Profile was completed for the sibling nearest in age without ASD. Children with ASD had a mean of 13.3 eating problems, with lack of food variety predominating. Siblings had 5.0 problems. Children with ASD had more eating problems as infants. Older children tended to have fewer problems than younger children. This study points to the importance of screening for mealtime problems. Children with ASD had significantly more mealtime problems than their sibling living in the same social environment.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".