Prevalence and dietary predictors of iron deficiency anemia in women 1-year postpartum living in central Montreal
Bibliographic record
Abstract
We estimated the prevalence of iron deficiency anemia (IDA) in women 1-year postpartum in central Montreal. Blood samples were obtained by venipuncture and questionnaires administered. Iron intake was assessed by a food frequency questionnaire. Mothers with at least two of the following laboratory values were considered to have IDA: serum ferritin (SF) < 12 mug/L, mean corpuscular volume (MCV) < 80 fL and hemoglobin (Hb) < 120 g/L. Blood samples were analysed for 201 women. The estimates of prevalence of anemia (Hb < 120 g/L), iron deficiency (SF < 12 mug/L) and IDA were 7.0% (95% confidence interval [CI] 3.8%-10.9%), 5.5% (95% CI 2.5%-8.9%) and 2.5% (95% CI 0.3%-4.7%) respectively. No significant differences were observed between level of income and anemia, iron deficiency and IDA rates. Anemia was not related to dietary iron intake. In conclusion, the prevalence of IDA is low among healthy women 1-year postpartum in central Montreal.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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".