Nutrient Composition of Hindmilk Produced by Mothers of Very Low Birth Weight Infants Born at Less Than 28 Weeks' Gestation
Bibliographic record
Abstract
The objectives of this study were to describe and compare retinol, alpha-tocopherol and gamma-tocopherol, fat, energy, and nitrogen concentrations between the foremilk and hindmilk fractions of 24-hour milk collected by 24 mothers of very preterm (< 28 weeks' gestation) infants and to relate milk vitamins A and E content to maternal vitamin intake. Concentrations of retinol were significantly higher in hindmilk than in foremilk (1.6-fold), as were concentrations of alpha-tocopherol (1.6-fold), gamma-tocopherol (1.5-fold), fat (1.7-fold), energy (1.3-fold), and nitrogen (1.05-fold). Retinol, alpha-tocopherol, and gamma-tocopherol were positively related (P < .05) to milk fat and energy but not to maternal intake. Estimates of vitamins A and E intakes of infants fed hindmilk with added human milk fortifier surpassed current recommended upper level of intakes. The higher fat-soluble vitamin content of hindmilk produced by mothers of very low birth weight infants needs to be considered in the design and recommendations for use of human milk fortifier.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".