Health disparity in Honduras: evaluation of growth status in children ages 6–60 months compared to mother's body mass index
Bibliographic record
Abstract
In Honduras, one in four children suffer from malnutrition. The purpose was to determine if growth parameters are associated with socioeconomic status and the mother's body mass index (BMI). Height and weight were obtained from randomly selected children in this cross‐sectional study of 53 children ages 6–60 months and their mothers living in Montaña de la Flor, Honduras. In children, stunted was defined as height‐for‐age <−2 z‐score (HAZ), wasted as weight‐for‐height <−2 z‐score (WHZ), and underweight as weight‐for‐age <−2 z‐score (WAZ). Mother's BMI was defined as underweight <18.5, normal 18.5–24.99, overweight 25–29.99, obese ≥30 and stunting in the mother as height <145 cm. Prevalence of children stunted was 53%; wasted 6%, and underweight 40%. Mother's prevalence was overweight 22%, obese 4% and stunted 30%. Mother's BMI was not significantly associated with children's growth parameters. Of the mother‐child pairs evaluated (n=46) when the mother's BMI was ≥ 25, 15% had a child that was stunted, 13% underweight and none wasted. Significant associations were found between WAZ and telephone ownership, piped water, type of roofing and household food security (child having no breakfast, eating less and going hungry, decreased access to food, and adult going hungry). Grant Funding Source : USDA NIFA Competitive Grant 2011 67002 30202 and USDA, SD Agricultural Experiment Station Grant SD00H249–08.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".