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Prevalence and determinants of suboptimal vitamin B6 status in young adult women in Metro Vancouver

2016· article· en· W4389034316 on OpenAlexaffabout
Chia‐ling Ho, Teo Quay, Jennifer Black, Angela M. Devlin, Yvonne Lamers

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsFraser HealthChild and Family Research InstituteUniversity of British Columbia
Fundersnot available
KeywordsMedicineNational Health and Nutrition Examination SurveyPyridoxalPregnancySocioeconomic statusEnvironmental healthPopulationBiology

Abstract

fetched live from OpenAlex

Background Vitamin B6 (B‐6) adequacy is crucial for life‐long health. The biologically active form of B‐6, pyridoxal 5′‐phosphate (PLP), plays an essential role in the metabolism of amino acids, synthesis of neurotransmitters, regulation of energy homeostasis, and metabolism of heme. Suboptimal B‐6 status – defined as having plasma PLP concentration between 20–30 nmol/L – has been associated with an increased risk of cardiovascular disease and breast, prostate, and colorectal cancer. Maternal B‐6 status has been positively associated with infant birth health determined by the Apgar Score. Low preconceptional B‐6 status has been associated with an increased risk of preterm birth, early pregnancy loss, and reduced probability of conception. Given an estimated 50% of pregnancies are unplanned, it is important for women to maintain an adequate B‐6 status throughout reproductive years. In the US National Health and Nutrition Examination Survey (NHANES 2003–2004), over 40% of B‐6 deficiency – defined as having plasma PLP concentration <20 nmol/L – was reported in childbearing‐aged women (21–44 y). Despite the crucial role of B‐6 in health, there are few data on B‐6 status among Canadian women. Objective To assess the prevalence of B‐6 deficiency and determinants of B‐6 status in childbearing‐aged women in Metro Vancouver, British Columbia. Methods Data were derived from a descriptive cross‐sectional study using convenience sampling of self‐reported healthy, non‐pregnant women (19–35 y; n= 202) residing in Metro Vancouver. The enrolment was conducted between 2012 and 2013 ( Quay et al. 2015 APNM ). Vitamin B‐6 status was assessed by determining fasting plasma PLP concentrations. Information on demographic, lifestyle and dietary intake was collected through validated questionnaires. Results The prevalence of B‐6 deficiency (plasma PLP < 20 nmol/L) was 1.5% and that of suboptimal B‐6 status (plasma PLP between 20–30 nmol/L) was 10.9% in these healthy women of European (73%) and South Asian (27%) descent. Mean (± SD) plasma PLP concentration was 61 ± 2.1 nmol/L. Overall, the subjects were highly educated (28% > bachelor's degree; 72% ≤ bachelor's degree) and 23% reported the use of B6 containing vitamin supplements. Body mass index (p value < 0.05), ethnicity (p value < 0.05), dietary B‐6 intake (p value < 0.05) and the use of supplemental B‐6 (p value < 0.001) were significant determinants of plasma PLP concentrations. Mean dietary B‐6 intake was 1.5 ± 0.45 mg/d; and 21% had a dietary B‐6 intake below the estimated average requirement (EAR; 1.1mg/day). Conclusion The overall 12.4% of low B‐6 status (plasma PLP < 30 nmol/L) indicates a need for investigating B‐6 status in a representative sample of Canadians. Ethnicity, dietary B‐6 intake and the use of supplemental B‐6 should be considered as covariates in future studies. Support or Funding Information Supported by the ‘ Food Nutrition and Health Vitamin Research Fund ’, Faculty of Land and Food Systems, The University of British Columbia

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.036
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.285
Teacher spread0.271 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2016
Admission routes2
Has abstractyes

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