The Status of Young Children's Nutrition Security in Rural Area of Northwest Ethiopia
Bibliographic record
Abstract
Background: Nutrition security is a vital component of growth and development in a nation. However, dietary diversity and availability of healthy food are serious challenges to many local communities in Ethiopia. The objective of the study was to identify status and determinants of nutrition security of school-age children in Northwest Ethiopia. Methods: Primary data were collected and analyzed using a binary logistic regression model to determine the significance of nutrition security odds ratio of 12 variables. Results: The results revealed that around 55.4% of school-age children were nutritionally insecure and underweight, and 44.6% were stunted. The significant determinants of nutrition security in the study area were milk consumption, healthy eating habit, fruits and vegetables consumption, educational status of the guardian, meat consumption, and the child’s place of residence. Conclusion: The findings of the study showed the need for nutrition education of the children and their guardians, and the need for accessibility of diverse and nutritious food products to help the school-age children with acute wasting and stunting problems they are facing.
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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 | 0.001 |
| 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".