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Record W2141581164 · doi:10.3109/01443615.2011.594917

Preventing neural tube defects with folic acid: Nearly 20 years on, the majority of women remain unprotected

2011· article· en· W2141581164 on OpenAlexaboutno aff
I. R. Lane

Bibliographic record

VenueJournal of Obstetrics and Gynaecology · 2011
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsnot available
FundersMedical Research CouncilCardiff University
KeywordsMedicineFolic acidFortificationPublic healthPregnancyEnvironmental healthGovernment (linguistics)Neural tubeFamily medicineNursing

Abstract

fetched live from OpenAlex

Many countries, including the USA and Canada, have implemented fortification of foods with folic acid, however the British Government only issues advice that supplements should be taken before and after conceiving. In this study, information was collected from women attending antenatal clinics to understand current levels of compliance with health advice and to investigate what is driving womens' behaviour. Eighty-nine percent of women consumed supplements but only 31% took folic acid prior to conceiving. Hence, the vast majority are starting too late to prevent neural tube defects (NTDs). Educational achievement, income and marital status emerged as the most significant factors influencing non-compliance. GPs and midwives were the main catalyst for women starting folic acid, however, 81% of these women started post-conception. When asked why they took folic acid, the majority of women did not mention the association with NTDs. Forty-one percent of women who did not take the supplements at all were unaware that it was recommended that they should. Fortification of UK food products offers a major public health opportunity. In the absence of fortification, gaps in the public health message need to be addressed. GPs and midwives cannot be relied upon alone to educate these women.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.247
Threshold uncertainty score0.327

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.255
Teacher spread0.226 · 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

Citations15
Published2011
Admission routes1
Has abstractyes

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