Postpartum nutrition education services for HIV-positive Ghanaian women are scarce despite their increased risk of weight loss?
Bibliographic record
Abstract
Predictors of weight change throughout the first year postpartum were examined using data from 314 Ghanaian HIV-positive (HIV-P) and HIV-negative (HIV-N) women. The overall effect over one year postpartum was a loss in average weight in HIV-P women and a gain in average weight in HIV-N women. After controlling for confounders, weight change was negatively associated with being HIV-P and having a higher number of days of breastfeeding and illness, and positively associated with being a trader. To complement the quantitative analysis, qualitative data on nutrition education services provided to HIV-P women in Ghana were collected through focus group discussions with 38 HIV-P women, and semi-structured interviews with 12 health workers, 5 non-governmental and governmental personnel and a community leader. Financial insecurity, low support from health services, and stigma limited the women's ability to follow recommendations received. Barriers to providing more nutrition education included lack of audience-appropriate materials and in-service training. HIV-P women may need individualized nutrition counselling to help them maintain a normal weight during the postpartum period.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".