<i>Feeding Patterns and Weight</i> Among First Nations Children
Bibliographic record
Abstract
PURPOSE: Little information is available on the growth and feeding patterns of First Nations children. Our goal was to assess the anthropometric status, feeding practices, and dietary intake of children born in 1994 or 1995 (n=102) and living in Walpole Island First Nation. METHODS: Information on demographic characteristics and infant feeding practices was obtained through parent interviews conducted between 1994 and 1999. Parents also completed a 24-hour dietary recall for their children when they were 48 months old. Head circumference was measured at three and 18 months, and weight and length/height at three, 18, 33, and 48 months. RESULTS: Most infants (75%) were breastfed at birth; however, by the time infants were three months old, 39.7% of the mothers had stopped breastfeeding. Over half (57.1%) of the infants were fed solids before age three months, 11.6% were given whole milk before age nine months, and 59.4% had low fat milk before age two years. Body mass index (kg/m2) (BMI) was above the 85th percentile for 27.8% at the 48-month interview, and was associated with a maternal BMI above 25 (OR=7.8, CI=1.1-41.9). CONCLUSIONS: Mothers need to be encouraged to follow current infant feeding recommendations. Strategies should be developed to reduce the prevalence of overweight among adults and children in First Nations communities.
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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 | 0.001 | 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) | 0.002 | 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".