HIV-Negative Status Is Associated With Very Early Onset of Lactation Among Ghanaian Women
Bibliographic record
Abstract
This is a longitudinal cohort study investigating the association between maternal HIV status and the reported onset of lactation. The Research to Improve Infant Nutrition and Growth project recruited 442 mothers from 3 antenatal clinics in the eastern region of Ghana, based on positive, negative, and unknown HIV status. Onset of lactation was assessed by maternal perception and validated with 2 subsamples: measurement of infant breast milk intake (n = 40) and daily infant weight measurement for 2 weeks (n = 150). Multivariate logistic regression was used to identify predictors of very early onset of lactation (onset of lactation < 6 hours). Predictors of very early onset of lactation include HIV-negative status (odds ratio = 2.68; P = .014), multiparity (odds ratio = 2.93; P = .009), vaginal delivery (odds ratio = 2.55; P = .035), and having a male child (odds ratio = 1.86; P = .032). The findings indicate an association between maternal HIV status and very early onset of lactation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".