Vitamin D, Folate, Vitamin B<sub>12</sub>, and Iron Status in Pregnant/Postpartum Old Order Anabaptist Women in Southwestern Ontario
Bibliographic record
Abstract
Purpose: To assess vitamin D, folate, vitamin B12, and iron status in Old Order Anabaptist (OOA) pregnant/postpartum women. Methods: Blood was analyzed for plasma 25 hydroxy vitamin D (25(OH)D), red blood cell (RBC) folate, serum vitamin B12, and iron status indicators. Dietary intakes (food and supplements) from 3-day estimated records were compared to Dietary Reference Intakes and Canada’s Food Guide (2007). Results: Fifty women participated in this descriptive cross-sectional study. Concentrations of 25(OH)D were low (<50 nmol/L for 20% and < 75 nmol/L for 63%); 42% had total vitamin D intakes < estimated average requirement (EAR). All women had RBC folate above the 1360 mmol/L cut-off. Nineteen percent had folate intakes upper limit. One woman had low serum vitamin B12 (<148 pmol/L); serum vitamin B12 was high (>652 pmol/L) for 24%. None had vitamin B12 intakes Conclusions: Overall, dietary intake and serum micronutrient status of OOA pregnant and postpartum women in our study were similar to those reported in previous studies of Canadian women. While some women had low intakes of vitamin D and iron, most had high intakes of folate and vitamin B12. These findings provide guidance to ensure appropriate dietary and supplement intakes in this potentially vulnerable and rarely studied population.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".