A Scoping Literature Review of the Nutrition Status Among Canadian First Nations Women During Pregnancy: What Does the Evidence Reveal?
Bibliographic record
Abstract
Background: Indigenous women residing in remote communities experience a disproportionately higher prevalence of nutrition-related chronic diseases. The development of evidence-based programs and policies to minimize these health disparities necessitates a comprehensive understanding of Indigenous women’s nutrition status and dietary intake patterns. However, a knowledge gap exists with respect to baseline maternal nutrition status and dietary intake information among First Nations women living on reserves. Objective: We aimed to systematically synthesize existing literature on maternal dietary information in Indigenous women residing on reserve lands and remote communities. Methodology: The articles that reported a singular nutrient status, multiple nutrients status, meal consumption pattern, and/ nutrition-related biomarkers in First Nations women during childbearing years, pregnancy, and lactation were synthesized for this review. Results: Major nutrient deficiencies identified were fiber, folate, vitamin A, D, and E, calcium, potassium, and magnesium; low consumption of vegetable and fruit, grain, and milk and alternative food groups was observed. A lack of information on maternal nutrient status in maternal, First Nations, on-reserve population obstructed nutrition status evidence appraisal. Conclusion: We recommend that a greater emphasis be placed on improved maternal nutrition surveillance systems, which are designed in partnership with the Indigenous organizations. Development of a sustainable community nutrition monitoring system will allow for the construction of the nutrition information capacity.
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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 | 0.012 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.027 | 0.033 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".