Paediatric metabolic syndrome and associated anthropometric indices: The CASPIAN Study
Bibliographic record
Abstract
AIM: To determine the prevalence of paediatric metabolic syndrome (MetS) and its best predictive anthropometric index. METHODS: This national study was conducted among 4811 students (2248 boys and 2563 girls) aged 6-18 y. This is the first study of its kind in Iran and, to our knowledge, in Asia as well. Two definitions were used for the MetS: type A was defined based on criteria analogous to ATP III, and type B was defined according to the cut-offs obtained from NHANES III. Both types A and B define high fasting blood sugar as > 100 mg/dl and systolic/diastolic blood pressure as > 90th percentile. RESULTS: The mean (SD) age of students studied was 12.07+/-3.2 y. MetS type A was seven times more prevalent than type B (14% vs 2%, respectively, p<0.0001), and had no significant gender difference. The most frequent components of both definitions of the MetS were low high-density lipoprotein cholesterol (HDL-C) and high triglyceride (TG). Waist circumference (WC) and waist-to-hip ratio (WHR) had the strongest and weakest associations, respectively, with the MetS. CONCLUSION: Establishment of a uniform set of criteria for the MetS in children is needed. Routine WC measurement in the paediatric population may be clinically useful.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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) | 0.001 | 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".