Breastfeeding practices of HIV-positive and HIV-negative women in Kabarole district, Uganda
Bibliographic record
Abstract
Ugandan policy regarding infant feeding for HIV-positive mothers is replacement feeding (RF), if feasible; otherwise, exclusive breastfeeding (EBF) for 3 months is advised (or EBF for 6 months, if RF is still not feasible). HIV-negative mothers should practise EBF for 6 months. The study objective was to explore the association between maternal HIV status and breastfeeding practices in Kabarole, Uganda. Data were collected from questionnaires administered at home to 182 women (44 HIV-positive and 138 HIV-negative) 3 months post-partum and from medical charts. The HIV-negative women were matched on delivery date to HIV-positive women at a ratio of 3:1. Interviewers were blinded to HIV status. There was no statistically significant association between adherence to Ugandan national feeding guidelines and maternal HIV status in bivariate analysis [odds ratio (OR) = 1.52; confidence interval (CI): 0.76-3.04]. Multivariate analyses showed a significant association between adherence to feeding guidelines and child illness (OR = 0.40; CI: 0.21-0.79) and between adherence to feeding guidelines and rural residence in Burahya county (OR = 2.43; CI: 1.15-5.13). Many mothers do not follow the feeding guidelines for HIV infection. This region-specific information on breastfeeding practice determinants will be used to inform local Prevention of Mother-to-Child Transmission (PMTCT) programmes. The nature of the association between child illness and EBF should be further explored.
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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 | 0.000 | 0.001 |
| 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".