Nutrition Education and Introduction of Broad Bean—Based Complementary Food Improves Knowledge and Dietary Practices of Caregivers and Nutritional Status of Their Young Children in Hula, Ethiopia
Bibliographic record
Abstract
BACKGROUND: Nutritious complementary foods are needed in countries where undernutrition and stunting are major problems, but mothers may be reluctant to change from traditional gruels. OBJECTIVE: To test whether a recipe-based complementary feeding education intervention would improve knowledge and practice of mothers with young children in Hula, Ethiopia. METHODS: A baseline survey of 200 eligible, randomly selected mother-child pairs gathered data on sociodemographic characteristics, food security status, knowledge and practices concerning complementary feeding, food group intakes of children aged 6 to 23 months by 24-hour recalls, and children's anthropometric measurements. Twice a month for 6 months, women in the intervention group received an education session consisting of eight specific messages using Alive and Thrive posters and a demonstration and tasting of a local barley and maize porridge recipe containing 30% broad beans. The control group lived in a different area and had no intervention. RESULTS: At 6 months, knowledge and practice scores regarding complementary feeding were significantly improved (p < .001) in the intervention group but not in the control group. The intervention resulted in improvement of children's dietary diversity, as well as mean intake of energy and selected nutrients, compared with children in the control group. Changes in height and weight did not differ between the two groups. CONCLUSIONS: Community-based nutrition education over 6 months that included demonstration of a local porridge recipe with broad beans added improved the complementary feeding practices of caregivers and the nutritional status of their young children.
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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 | 0.000 |
| 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".