Iron deficiency anemia among children: Addressing a global public health problem within a Canadian context
Bibliographic record
Abstract
Despite current Canadian pre- and perinatal nutrition programs, the prevalence of both iron deficiency and iron deficiency anemia (IDA) is very high among young Aboriginal children from Canada's remote north. The major risk factors for IDA include prolonged consumption of evaporated cow's milk, chronic infection and prolonged exclusive breastfeeding. In the present article, the authors discuss IDA as a significant public health problem in Canadian Aboriginal communities. Whereas the prevalence of IDA in Canadian children is between 3.5% and 10.5% in the general population, in two Northern Ontario First Nations communities and one Inuit community, the anemia rate was 36%, with 56% having depleted iron stores. Traditional methods of preventing IDA, including targeted fortification, dietary diversification and supplementation, have not solved the problem. The authors' research group at The Hospital for Sick Children in Toronto, Ontario, conceived of the strategy of 'home fortification' with 'Sprinkles' - single-dose sachets containing micronutrients in a powder form, which are easily sprinkled onto any foods prepared in the household. In Sprinkles, the iron (ferrous fumarate) is encapsulated within a thin lipid layer to prevent the iron from interacting with food. Sprinkles have been shown to be efficacious in the treatment of anemia in many developing countries. Their use in Aboriginal communities to treat and prevent anemia is described in the present paper. The authors believe that children in Aboriginal communities across Canada would potentially benefit if Sprinkles were incorporated into Health Canada's current distribution system, in combination with a social marketing strategy to encourage their use.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".