Nutrition Intakes and Nutritional Status of School Age Children in Ghana
Bibliographic record
Abstract
This paper compares nutrition intakes and nutritional status of school children from two public schools in neighbouring communities of Ghana with different school feeding programmes. One hundred and eighty-two caregiver and school-age child pairs were interviewed concerning socio-demographics, dietary practices, and food security in a cross-sectional design. The independent t-test was used to compare the contribution of the publicly funded Ghana School Feeding Programme and private School Feeding Programme meals to total daily nutrient intakes of the children. Predictors of nutritional status of the children were assessed using logistic regression models. The private school feeding programme contributed more energy, protein, and micronutrients as compared to the government school feeding programme. About two-thirds (67.0%) of the children were stunted, underweight, or anaemic. Child’s age was a significant predictor of stunting. Undernutrition was prevalent among children from both programmes. Improved quality of diet from the feeding programmes may contribute to addressing malnutrition in these 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".