Influence of Maternal Glycemia on Breast Milk Composition and Volume Ingested by Infants of Mothers With Type 1 Diabetes
Bibliographic record
Abstract
OBJECTIVE: To examine relationships between maternal glucose and breast milk composition and volume ingested by infants of mothers with type 1 diabetes (T1D), and to compare breast milk composition in women with and without T1D. RESEARCH DESIGN AND METHODS: Midfeed breast milk samples were collected from 11 mothers with T1D. Maternal continuous glucose monitoring data were correlated with breast milk composition and volume ingested. Breast milk composition was compared between the women with T1D and five without T1D. RESULTS: Forty-seven breast milk samples from mothers with T1D were analyzed. Maternal glucose 90-120 min before breastfeeding correlated with breast milk glucose and fructose but not with lactose, protein, fatty acids, leptin, or volume consumed. Breast milk leptin correlated with volume of breast milk consumed (r = 0.394; P = 0.008). Higher breast milk glucose (1.0 ± 0.3 vs. 0.7 ± 0.3 mg/mL) and leptin (463.6 ± 480.0 vs. 114.4 ± 68.6 pg/mL) were found in women with versus without T1D. CONCLUSIONS: Maternal glucose is associated with breast milk glucose and fructose in women with T1D but not with volume of breast milk consumed.
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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 | 0.004 |
| 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".