Low fish intake is associated with low blood concentrations of vitamin D, choline and<i>n</i>-3 DHA in pregnant women
Bibliographic record
Abstract
Several studies have investigated the potential health benefits, including those associated with neurological function, of the n-3 fatty acid DHA. This has arisen in part because of the association between higher intakes of fish, which is a major dietary source of DHA, and reduced disease risk. In addition to DHA, fish also provides choline and vitamin D. The objective of the present study was to assess whether women in the first half of pregnancy with low fish intake also had low blood concentrations of vitamin D, choline and DHA. A total of 222 pregnant women at 16 weeks of gestation were examined for dietary intake, erythrocyte (phosphatidylethanolamine PE) DHA, plasma free choline and 25-hydroxyvitamin D (25(OH)D). Women who consumed ≤ 75 g fish/week (n 56) compared to ≥ 150 g fish/week (n 116) had lower dietary intake of DHA, total choline and vitamin D (P< 0·001), and lower erythrocyte PE DHA (5·25 (sd 1·27), 6·83 (sd 1·62) g/100 g total fatty acid, respectively, P< 0·01), plasma free choline (6·59 (sd 1·65), 7·40 (sd 2·05) μmol/l, respectively, P= 0·023) and 25(OH)D (50·3 (sd 20·0), 62·5 (sd 29·8) nmol/l, respectively, P< 0·01). DHA intake was positively related to the intake of vitamin D from foods (ρ 0·47, P< 0·001) and total choline (ρ 0·32, P< 0·001). Dietary intakes and biomarkers of DHA, choline and vitamin D status were assessed to be linked. This raises the possibility that unidentified concurrent nutrient inadequacies might have an impact on the results of studies addressing the benefits of supplemental DHA.
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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 | 0.002 |
| 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".