Prevalence and predictors of iron deficiency anemia among infants residing in inner-city Montréal
Bibliographic record
Abstract
To assess the prevalence of anemia, we surveyed 10 to 14 month old infants of families with heterogeneous socio-economic backgrounds from four regions of inner-city Montreal. Capillary blood was drawn to measure hemoglobin (Hb), mean corpuscular volume (MCV), and serum ferritin (SF). A home-visit questionnaire assessed infant feeding practices and potential confounding variables. In the overall sample, the prevalence was 14.3% for anemia (Hb≥110 g/L), 9.4% for iron deficiency (SF≤10 mug/L), and 4.3% for iron deficiency anemia (SF≤10 mug/L and Hb≤110 g/L or MCV≤72 fL). There were no significant differences in iron status indices between socio-economic subgroups. Protectors of anemia determined through logistic regression analysis were introduction of cow's milk at or following 9 months of age (OR 0.17 [95% CI 0.056 to 0.540]) and breastfeeding for 6 months or less (OR 0.23 [95% CI 0.086 to 0.637]). Our results suggest that important health inequalities relating to anemia do not currently exist among infants residing in Montreal.
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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 | 0.000 |
| 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) | 0.002 | 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".