Mitigated Impact of Provision of Local Foods Combined with Nutrition Education and Counseling on Young Child Nutritional Status in Cambodia
Bibliographic record
Abstract
BACKGROUND: In Cambodia, stunting and wasting affect, respectively, 32% and 10% of children 0⁻59 months while 55% are anemic. Our research aims to assess the efficiency of two local foods combined with nutritional education and counseling (CEN) activities as compared to CEN alone on improving child nutritional status and dietary intake. METHODS: = 360) assigned to receive either moringa +CEN, cricket +CEN or CEN alone. Anthropometric measurements were performed and hemoglobin and ferritin levels assessed. RESULTS: -score was observed, although a small increase of the weight-for-length/height was noted in intervention groups. Hemoglobin and ferritin mean values increased in all groups. The degree of satisfaction of energy, proteins, iron, and zinc requirements improved in all groups, but to a greater extent in the intervention groups and more children were healthy. CONCLUSION: Our research shows no significant impact of the provision of two local foods combined with CEN on the improvement of child nutritional status as compared to CEN alone. However, children consuming them better fulfilled their energy, iron, and zinc requirements and were healthier.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".