Long-Chain Polyunsaturated Fatty Acid Concentrations in Breast Milk from Chinese Mothers: Comparison with Other Regions
Bibliographic record
Abstract
Long-chain polyunsaturated fatty acids (LC-PUFA), especially linoleic acid (LA), arachidonic acid (AA), alpha- linolenic acid (ALA), eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), are essential to infant growth and development during early life. Up till now, there is only limited number of studies with large sample size on LC-PUFA in breast milk in China. In order to better understand the LC-PUFA levels in Chinese women, we report an analysis that included 44 studies of 3815 subjects from the latest 10-year peer-reviewed papers of breast milk studies of fatty acid profiles from China and other regions: Asia (excluding China), Europe, America and Africa. The results showed that Chinese women had significantly higher LA and ALA levels in the breast milk than European and other Asian women. The DHA level in the breast milk of Chinese women meets the Chinese and international recommended intake for young infants. This review provides comprehensive investigation on the LC-PUFA levels in the mature milk of Chinese women in most recent publications and server as a reference for further studies on human milk in China.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| 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".