Infant Feeding Practices Using Local Flours in Relation to Nutritional Status of Children Aged 6 to 24 Months Surveyed in Maternal and Child Protection Centers of Abidjan (Côte d’Ivoire)
Bibliographic record
Abstract
Objectives: The aim of the study is to evaluate the use of local flours in supplementary feeding for 6 to 24 month old children in relation to their nutritional status in Abidjan. Methods: A cross-sectional survey was conducted on 480 mother-child couples in twelve maternal and child protection centers located in four municipalities in Abidjan. Questionnaires focused on the economic characteristics of mothers, the frequency of use of local flours, sources of local flours, ingredients used for flour production. The local composite flours mainly consumed by the children were sampled for biochemical analysis. Results: Our of the 480 mothers, 73% had an income-generating activity and 27% had no activity, 10% of them were students. About 13% of the mothers with income-generating activities use only local flours, 10% of them mainly use industrial flours and 50% alternately use local flours and industrial flours. All mothers used cereals for flour production, 1% of the mothers used cassava and 98.54% used soya flour as supplement. The local flour mainly consumed, "Anango baka" with two variants, was unbalanced as far as its nutrient composition is concerned. The nutritional status of the children surveyed showed that stunting was the most widespread form of malnutrition with a prevalence of 17.9%. Conclusion: The three local composite flours used by the mothers showed a poor nutritional value. A high rate of chronic malnutrition has been reported for 6 to 24 month old children visiting maternal and child protection centers located in Abidjan.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".