The effectiveness of nutrition education: Applying the Health Belief Model in child-feeding practices to use pulses for complementary feeding in Southern Ethiopia
Bibliographic record
Abstract
Complementary foods (CFs) in Ethiopia are cereal based and adding locally grown pulses (legumes) to CF would provide needed nutrients. To assess the effects of nutrition education (NEd) using Health Belief Model (HBM) in promoting pulses for CF, a 6-month quasi-experimental study was conducted in 160 mother-child pairs. Knowledge, attitude, and practice (KAP) questions were given to mothers at baseline, midline, and endline, along with anthropometric measurements of children. NEd involving discussions and recipe demonstrations was given twice monthly for 6 months to the intervention group (n = 80) while control mothers received usual education. At baseline, mothers' KAP scores were low at both sites; at 3 and 6 months of NEd, mean KAP scores of mothers increased (p < 0.05) compared to the control site. Significant improvements in children's mean weight, weight for height, and weight for age occurred in the intervention site only. Nutritional status of children improved after providing mothers with pulse-based NEd.
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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 | 0.007 | 0.007 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".