Comparison of Human Milk Fatty Acid Composition of Women From Cambodia and Australia
Bibliographic record
Abstract
BACKGROUND: Human milk is a rich source of omega-3 long-chain polyunsaturated fatty acids, which are postulated to be important for brain development. There is a lack of data on the human milk fatty acid composition of Cambodian women compared with data from Western women. Research Aim: The aim of this study was to determine the human milk fatty acid composition of women living in Cambodia and compare it with that of women living in Australia. METHOD: Human milk samples from Cambodian ( n = 67) and Australian ( n = 200) mothers were collected at 3 to 4 months postpartum. Fatty acid composition was analyzed using capillary gas chromatography followed by Folch extraction with chloroform/methanol (2:1 v/v), and fat content was measured gravimetrically. RESULT: Compared with Australian participants, human milk from Cambodian participants contained a significantly lower level of total fat (2.90 vs. 3.45 g/dL, p = .028), lower percentages of linoleic acid (9.30% vs. 10.66%, p < .0001) and α-linolenic acid (0.42% vs. 0.95%, p < .0001), but higher percentages of arachidonic acid (0.68% vs. 0.38%, p < .0001) and docosahexaenoic acid (0.40% vs. 0.23%, p < .0001). CONCLUSION: Differences in human milk fatty acid composition between Cambodian and Australian participants may be explained by differences in the dietary patterns between the two populations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".