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Record W3031839624 · doi:10.1093/cdn/nzaa067_052

Plasma Free Choline Concentration Did Not Reflect Dietary Choline Intake in Early and Late Pregnancy: Findings from the APrON Study

2020· article· en· W3031839624 on OpenAlexaffabout
María Victoria Mujica, Erin D. Lewis, René L. Jacobs, Nicole Létourneau, Rhonda C. Bell, Catherine J. Field, Yvonne Lamers

Bibliographic record

VenueCurrent Developments in Nutrition · 2020
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsUniversity of CalgaryUniversity of AlbertaUniversity of British Columbia
Fundersnot available
KeywordsCholinePregnancyMedicineInternal medicineEndocrinologyGestationQuartileBiologyConfidence interval

Abstract

fetched live from OpenAlex

Choline is a critical nutrient for fetal development. Pregnancy studies showed that most women have choline intakes below the adequate intake (AI) level of 450 mg/d. Research on plasma free choline as an indicator of dietary choline intake showed conflicting results to date. We sought to compare plasma free choline concentration between women with different choline intakes and to explore the association between plasma free choline and dietary choline intake in early (EP) and late pregnancy (LP). This study included data and non-fasting plasma samples from pregnant women enrolled in the Alberta Pregnancy Outcomes and Nutrition (APrON) cohort study. EP (<20 weeks of gestation) and LP (>20 weeks of gestation) dietary choline intake was estimated using a 24-hr recall. Two categories of dietary choline intake were created: 1) low choline (LCI), i.e., choline intake in 1st quartile (Q) in EP, with these women having choline intake in 1st or 2nd Q in LP (n = 61); 2) high choline intake (HCI), i.e., choline intake in 4th Q in EP and in 3rd or 4th Q in LP (n = 46). Linear mixed-effects models were used to explore the association between plasma free choline and dietary choline intake across EP and LP, after adjustment for maternal age, ethnicity and weeks of gestation. Median (IQR) maternal age was 32 (30–35) y, and 80% were Caucasian. LCI was 101 (86–109) and 109 (93–127) mg/day in EP and LP, respectively, and HCI was 251 (223–286) and 212 (177–274) mg/day. Plasma free choline (μmol/L) did not differ between LCI and HCI at EP [LCI: 10.6 (9.03, 12.9); HCI: 11.7 (10.2, 13.8)] and LP [LCI: 11.7 (10.6, 12.7); HCI: 12.7 (10.7, 15.8)] (P > 0.05, Wilcoxon rank-sum test). Per 10 mg of choline intake, plasma free choline increased by 0.34 (95%CI 0.12, 0.56) in those with LCI, and 0.18 (95%CI 0.050, 0.31) in women with HCI, across EP and LP after adjustment. In this subgroup of pregnant women, plasma free choline concentration did not reflect differences in dietary choline intake in EP or LP. This may be explained by an overall low choline intake (

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)0.004
metaresearch head score (Gemma)0.007
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 score0.203
Threshold uncertainty score0.403

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.092
GPT teacher head0.343
Teacher spread0.251 · 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".

Quick stats

Citations6
Published2020
Admission routes2
Has abstractyes

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