Assessment of nutrition status and pulse consumption patterns in adolescent girls from Huletegna Choroko Keble, Halaba Special Woreda ‐ Southern Ethiopia
Bibliographic record
Abstract
In Ethiopia, adolescents have the lowest mortality, and, therefore, are of low priority for nutrition interventions. However, the prevalence of malnutrition and anemia remains high in adolescent girls. Pulse crops are important in Ethiopiaˈs small landholders’ agriculture practices offering enhanced food security. Using a cross‐sectional design, our IDRC‐CIDA community based study assessed the nutrition status, pulse consumption patterns, indigenous knowledge, and food security among adolescent girls (n=188, 15–19 y). The prevalence of stunting and underweight were 31% and 30%, respectively. The intakes of energy, calcium, vitamin C and zinc were 70%, 13%, 5% and 65% of requirements, respectively. From pulse foods, lentils (85%) haricot bean (59%), peas (51%), faba bean (36%) and chick pea (29%) were consumed once or more than once per day. The nutrient contribution of pulses for iron, protein, zinc and fiber was 10%, 20%, 80% and 18% respectively. For household food security, 13% were secure, 17% were mildly insecure, 54% were moderately insecure and the remaining 16% severely insecure. Girls were shorter than the 2007 WHO standards and the diets were grossly deficient in energy and other nutrients; yet, pulse foods offered a significant contribution to nutrient intake. The dietary practices, particularly the girls’ avoidance of milk and yogurt, contribute to the nutrient deficiencies. Programs to support adequate nutrition for adolescents would provide for a healthy transition to adulthood and be a step towards breaking the cycle of intergenerational malnutrition.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".