Dietary intakes and nutritional status of rural Ghanaian children: are season and attending daycare important determinants?
Bibliographic record
Abstract
High rates of malnutrition among Ghanaian children indicate the need to examine determinants of diet and nutritional status in this population. This study examined differences in the diets of children 2-5 y of age associated with: 1) pre- to post-harvest season changes in rural northern Ghana (n=190) and 2) attendance at daycare centres (DCC) with informal school feeding programs in rural mid-country Ghana (n=193). Interviewer-administered questionnaires were used to collect dietary (24-hour recall), morbidity and demographic information. Although diets improved with the post-harvest season, illness increased and acute nutritional status deteriorated which were likely due to unexpected severe flooding prior to post-harvest data collection. Children who attended DCC had higher daily intakes of energy, protein, calcium, iron and zinc than their non-DCC counterparts. These findings provide important insights into determinants of diet and nutritional status among Ghanaian children as well as a potential mechanism for improving diets in this population.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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".