Nutritional Assessment of Preschool Children using Z-Score Analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Background : Preschool years are characterized by striking changes in the physical development, language, cognitive and social behavior. Nutritional anthropometry is widely used for the assessment of the nutritional status of preschool children. Subjects : One hundred and twenty eight children (in the age group of 2-6 years) were recruited for this cross sectional study. We evaluated the underweight, wasting and stunting prevalence among this cohort using Z-Scores as compared to reference population. The middle upper arm circumference and body mass index (BMI) percentile were also evaluated. Results: Indicators of under nutrition were as follow; underweight (3.9%), wasting (3.1%), and stunting (2.3%) among the sampled preschool children. Conclusion: Stunting was the lowest among the examined preschool children. Overweight and obesity were not detected among the studied population. Conclusion : A nutrition intervention program should be developed and directed to this vulnerable group, preschool children, to combat these nutritional problems that might predispose children to under nutrition during adulthood.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 it