Vitamin D status of pregnant and non‐pregnant women of reproductive age living in Hanoi City and the Hai Duong province of Vietnam
Bibliographic record
Abstract
Vitamin D insufficiency during pregnancy has been associated with a number of adverse outcomes for both mother and child. Vitamin D insufficiency has been well described in many populations of both pregnant and non-pregnant women of childbearing age, but there is a lack of data on women living in South-East Asia. We measured plasma 25-hydroxyvitamin D in a representative sample of pregnant (n=64) and non-pregnant (n=477) women (15-49 years) living in Hanoi City (n=270) and rural Hai Duong Province (n=271) in northern Vietnam. Mean 25-hydroxyvitamin D (95% confidence interval) concentration was 81 (79, 84)nmolL(-1) . Mean 25-hydroxyvitamin D concentration differed between urban and rural (78 vs. 85nmolL(-1) ; P=0.016), farming and non-farming (89 vs. 77nmolL(-1) ; P<0.001) but not pregnant and non-pregnant or older vs. younger women. Only one woman had a 25-hydroxyvitamin D less than 25nmolL(-1) , a concentration indicative of vitamin D deficiency. Of the women, 7% and 48% of the women were vitamin D insufficient based on cut-offs for plasma 25-hydroxyvitamin D of 50 and 75nmolL(-1) , respectively. Mean plasma 25-hydroxyvitamin D concentrations of these Vietnamese women were much higher than those reported in other studies of pregnant and non-pregnant women in the region.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".