One-Carbon Metabolism Nutrient Intakes among Canadian Woman of Childbearing Years: Findings from the 2015 Canadian Community Health Survey – Nutrition
Bibliographic record
Abstract
Introduction: Adequate intake of one-carbon (1C) nutrients are vital for normal fetal development. Since many pregnancies are unplanned, maintenance of optimal nutritional status during childbearing years is essential for positive pregnancy outcomes. Currently, limited research exists which examines 1C intakes among Canadian woman of childbearing years (WCBY). Objectives: The purpose of this study was to determine dietary intakes and major dietary sources of 1C nutrients in Canadian WCBY.Methods: Nationally representative dietary data from 24-h recalls collected in the Canadian Community Health Survey Nutrition u2013 2015 were analyzed to determine intake and food sources of folate, choline, vitamin B6 and vitamin B12 among non-pregnant and non-lactating Canadian women aged 18-44 years old (n=2429). Percent contributions were estimated for all food sources contributing to intake of each nutrient. Results: Among WCBY, mean intake was above the Estimated Average Requirement (EAR) for Vitamins B12, B6 and folate with intakes of 3.7 u00b1 0.2 u00b5g, 1.5 u00b1 0.03 mg and 523 u00b1 11.9 / u00b5g DFE respectively. Mean choline intake (243 u00b1 5.5 mg) fell below the Adequate Intake (AI). Grain products were the highest contributors to folate intake (42%), while fruits and vegetables were the highest contributors to Vitamin B6 intake (34%). Eggs and dairy were the highest contributors to B12 (49%) and choline (30%) intake.Conclusions: Our findings suggest that a large portion of Canadian WCBY are meeting current nutrient recommendations for folate, vitamin B6 and B12. Food sources for choline are primarily animal in origin but the majority of women are not meeting the AI for choline. Given the importance of choline in pregnancy, strategies are needed to improve intake. Significance to the field of dietetics: Dietitians need to focus not only on folate consumption in WCBY but choline as well. Top food sources of choline should be considered as a strategy to improve dietary intake among women.
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".