Factors associated with anaemia status and haemoglobin concentrations in infants 6-11 months in Mbala district, northern province, Zambia
Bibliographic record
Abstract
This paper presents information on the factors associated with anaemia status and haemoglobin concentrations in infants 6-11 months old in Mbala District, Northern Province, Zambia.The information is drawn from the baseline data collection of a study involving 631 caregiver-child pairs.The data presented here includes anthropometry, malaria parasitism, concentrations of haemoglobin (Hb) and serum transferrin receptor (STfR), and information on household characteristics, infant and young child feeding (IYCF) practices, and morbidity, gathered via questionnaire.It was found that 57% of the sample was anaemic (Hb < 110 g/L), 93% was iron deficient (STfR > 8.3 mg/L) and 53% had iron deficiency anaemia.Overall, 30% of the infants in the sample were stunted, 2% were wasted, and 16% were underweight, and 22%, 56% and 18% of infants were meeting minimum dietary diversity, minimum meal frequency, and minimum acceptable diet, respectively, and 28% consumed iron rich foods in the previous 24 hours.Infants who had achieved a minimum dietary diversity score (OR = 0.44; 95% CI: 0.30-0.65),who had consumed iron rich foods in the previous 24 hours (OR = 0.56; 95% CI: 0.40-0.80),or were female (OR = 0.69; 95% CI: 0.50-0.94),had significantly lower risks of being anaemic.Infants that tested positive for malaria parasitism (OR = 4.33; 95% CI: 2.16-8.70),as well as those having a fever (OR = 1.88; 95% CI: 1.36-2.59) in the previous two weeks had significantly greater odds of being anaemic.Despite these associations, whether or not a child slept under a mosquito net was not related to their risk of being anaemic.Infants in households that treated their water to make it safer to consume had average haemoglobin concentrations 3 g/L higher than those who did not (p = 0.021), but this did not translate into a significant difference in the odds of being anaemic.These results shed light on the specific causes of anaemia in the Zambian context, and illustrate the importance of improving dietary quality, specifically the intake of iron, and reducing the prevalence of diseases including malaria in order to reduce the prevalence of anaemia.
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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 | 0.002 |
| 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 | 0.000 | 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".