Weight loss and low age are associated with intensity of rooting behaviours in newborn infants
Bibliographic record
Abstract
AIM: Little is known about the developing breastfeeding behaviour of newborn infants. This study describes infants' prebreastfeeding behaviour during the second day of life and explores possible associations with infant characteristics. METHODS: We studied 13 mothers and healthy full-term infants after normal births. At 24-48 hours of life, the newborns were placed in skin-to-skin contact with their mothers for breastfeeding and were video-filmed. The order, frequency and duration of predefined infant prefeeding behaviours and suckling were coded and analysed using computer-based video software. RESULTS: Prefeeding behaviours occurred in the following order: rooting, hand to mouth movements, licking of the nipple and hand to breast to mouth movements. The infants started to suckle at a median of one to two minutes. Rooting was the most common behaviour, observed in 12 infants. The duration of rooting movements during the last minute before breastfeeding was inversely related to neonatal age (p ≤ 0.001) and positively related to neonatal weight loss (p = 0.02) after birth. CONCLUSION: Infants exhibited a distinct sequence of prefeeding behaviours during the second day of life, and our findings suggest that rooting movements were governed by mechanisms involved in the regulation of food intake and weight gain.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".