Current and potential contributions of large-scale food fortification to meeting micronutrient requirements in Senegal: a modelling study using household food consumption data
Bibliographic record
Abstract
Introduction: Micronutrient deficiencies are common among women of reproductive age (WRA) and children in Senegal. Large-scale food fortification (LSFF) can help fill gaps in dietary intakes. Methods: We used household food consumption data to model the contributions of existing LSFF programs (vitamin A-fortified refined oil and iron and folic acid-fortified wheat flour) and the potential contributions of expanding these programs to meeting the micronutrient requirements of WRA (15-49 years) and children (6-59 months). Results: Without fortification, apparent inadequacy of household diets for meeting micronutrient requirements exceeded 70% for vitamin A, thiamin, riboflavin, folate, and zinc, was 61% for iron among WRA (43% among children), and was ~25% for vitamin B12. At estimated current compliance, fortified refined oil was predicted to reduce vitamin A inadequacy to ~35%, and could further reduce inadequacy to ~25% if compliance with the standard improved. Fortified wheat flour at estimated current compliance reduced iron and, especially, folate inadequacy, but improvements in compliance would be necessary to achieve the full potential. Beyond existing programs, expanding wheat flour fortification to include additional micronutrients was predicted to have a modest impact on thiamin and riboflavin inadequacies and larger impacts on vitamin B12 and, especially, zinc inadequacies. Adding a program to import fortified rice could further reduce inadequacies of multiple micronutrients (generally by > 10 percentage points), although potential risk of high intake of vitamin A, folic acid, and zinc among children should be carefully considered. With both wheat flour and rice fortification, predicted prevalence of vitamin A, iron, and zinc inadequacy remained above 25% in some regions, pointing to the potential need for coordinated, targeted micronutrient interventions to fully close gaps. Conclusions: When considered alongside evidence on the cost and affordability of these programs, this evidence can help inform the development of a comprehensive micronutrient intervention strategy in Senegal.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".