Describing and Predicting Feeding Problems During the First 2 Years Within an Urban Pediatric Primary Care Center
Bibliographic record
Abstract
We conducted a prospective cohort study with children aged 6 to 18 months to identify predictors of feeding problems in an urban sample. Parent-reported child feeding problems (Montreal Children’s Hospital Feeding Scale) and picky eating, parental anxiety (Generalized Anxiety Disorder 7), and family meal structure (Meals in Our Household) were assessed via a Web-based survey at 3 time points. Data analysis included descriptive statistics, correlations, and mixed-effects regression modeling. Eighty parents completed the survey. Child picky eating ( r =.51) and resistance to try new foods ( r = .30), parental anxiety ( r = .34), rushed mealtimes ( r = .28), and child age ( r = .32) were significantly associated with child feeding problems. Feeding Scale scores were, on average, 6 points higher among picky eaters than those who were not over time ( p < .001). Parent reports of picky eating early in life may warrant additional clinical investigation and referral to feeding specialists.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".