Prevalence of iron deficiency among Inuit preschool children attending childcare centres in Nunavik (632.8)
Bibliographic record
Abstract
In infants and children, iron deficiency (ID) can have several adverse effects on health including lethargy, alterations of immune defense mechanisms and impaired growth and cognitive development. The purpose of this study was to determine the prevalence of ID in a group of preschool Inuit children attending childcare centres in Nunavik using conventional measurements of iron status and a relatively new parameter, soluble transferrin receptor (sTfR). sTfR is especially useful in the presence of inflammation or infection. Two hundred forty‐five Inuit children aged between 11 and 54 months (mean (SD) = 25.0 (9.6) months) were recruited between 2006 and 2010 in 10 of the 14 Nunavik communities. About half of the children were male and 52.3% (n=128) were less than 24 months old at the time of the study. Sixty‐five children were excluded because they lacked one or more of the parameters under analysis, leaving 180 subjects for the assessment of iron status. ID defined either as serum ferritin <15 mg/L, sTfR >1.55 or sTfR‐ferritin index (sTfR/log ferritin) >1.5 was found in 73.2% of subjects. Anemia (hemoglobin (Hb) <110 g/L (12‐35 months old) or <112 g/L (36‐59 months old)) was present in 15% of children, while 7.2% suffered from iron deficiency anemia (IDA) (ID and C‐reactive protein (CRP) <6 mg/L), and 5% from IDA and coexisting anemia of inflammation (ID and CRP 蠅6 mg/L). Iron deficiency constitutes a significant public health problem in these Canadian Aboriginal children. Measures to improve iron intake and bioavailability are required and consumption of traditional foods rich in iron must be encouraged. Grant Funding Source : Supported by Aboriginal Affairs and Northern Development Canada & Kativik Regional Government
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".