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Vitamin D status of pregnant and non‐pregnant women of reproductive age living in Hanoi City and the Hai Duong province of Vietnam

2011· article· en· W1943193331 on OpenAlexaff
Vũ Thị Hiền, Nguyễn Thị Lâm, C. Murray Skeaff, Joanne M. Todd, Judy McLean, Tim Green

Bibliographic record

VenueMaternal and Child Nutrition · 2011
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineVitamin D and neurologyPregnancyVietnameseConfidence intervalVitaminDemographyObstetricsInternal medicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.235
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations25
Published2011
Admission routes1
Has abstractyes

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