Red palm oil as a source of vitamin A for mothers and children: impact of a pilot project in Burkina Faso
Bibliographic record
Abstract
OBJECTIVE: To demonstrate the effectiveness of the commercial introduction of red palm oil (RPO) as a source of vitamin A (VA) for mothers and children in a non-consuming area, as a dietary diversification strategy. DESIGN: A pre-post intervention design (no control area) was used to assess changes in VA intake and status over a 24-month pilot project. SETTING AND SUBJECTS: The pilot project involved RPO promotion in 10 villages and an urban area in east-central Burkina Faso, targeting approximately 10 000 women and children aged <5 years. A random sample of 210 mother-child (12-36-months-old) pairs was selected in seven out of the 11 pilot sites for the evaluation. RESULTS: After 24 months, RPO was reportedly consumed by nearly 45% of mothers and children in the previous week. VA intake increased from 235+/-23 microg retinol activity equivalents (RAE) to 655+/-144 microg RAE in mothers (41 to 120% of safe intake level), and from 164+/-14 microg RAE to 514+/-77 microg RAE in children (36 to 97%). Rates of serum retinol <0.70 micromol l(-1) decreased from 61.8+/-8.0% to 28.2+/-11.0% in mothers, and from 84.5+/-6.4% to 66.9+/-11.2% in children. Those with a lower initial concentration of serum retinol showed a higher serum retinol response adjusted for VA intake. CONCLUSIONS: Commercial distribution of RPO was effective in reducing VA deficiency in the pilot sites. While it is promising as part of a national strategy, additional public health and food-based measures are needed to control VA malnutrition, which remained high in the RPO project area.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".