Full-term, peri-urban South African infants under 6 months of age are at risk for early-onset anaemia
Bibliographic record
Abstract
OBJECTIVE: There is a paucity of data on the micronutrient status of low-income, lactating South African women and their infants under 6 months of age. The aim of this study was to elucidate the level of anaemia and vitamin A deficiency (VAD) in peri-urban breast-feeding women and their young infants. DESIGN: Cross-sectional study including anthropometric, biochemical and infant feeding data. SETTING: Peri-urban settlement in Cape Town, South Africa. SUBJECTS: Breast-feeding women (n=113) and their infants (aged 1-6 months) attending a peri-urban clinic. RESULTS: Mean (standard deviation (SD)) haemoglobin (Hb) of the lactating mothers was 12.4 (1.3) g dl(-1), with 32% found to be anaemic (Hb<12 g dl(-1)). Maternal serum retinol was 49.8 (SD 13.3) microg dl(-1), with 4.5% VAD. Using breast milk, mean (SD) retinol concentration was found to be 70.6 (24.6) microg dl(-1) and 15.7 (8.3) microg/g milk fat, with 13% below the cut-off level of <8 microg/g fat. There was no correlation found between breast milk retinol and infant serum retinol. Z-scores (SD) of height-for-age, weight-for-age and weight-for-height were -0.69 (0.81), 0.89 (1.01) and 1.78 (0.83), respectively. Mean (SD) infant Hb was 10.9 (1.1) g dl(-1), with the prevalence of anaemia being 50%, 33% and 12% using Hb cut-offs below 11 g dl(-1), 10.5 g dl(-1) and 9.5 g dl(-1), respectively. Mean (SD) infant serum retinol was 26.9 (7.2) microg dl(-1), with 10% being VAD. None of the infants was exclusively breast-fed, 22% were predominantly breast-fed and 78% received complementary (mixed) breast-feeding. Thirty-two per cent of infants received weaning foods at an exceptionally young age (< or =1 month old). CONCLUSION: A high rate of anaemia is present in lactating women residing in resource-poor settings. Moreover, their seemingly healthy infants under 6 months of age are at an elevated risk of developing early-onset anaemia and at lower risk of VAD.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".