Waist circumference percentiles in children and adolescents of Maracaibo municipality of Zulia State, Venezuela
Bibliographic record
Abstract
The excess of visceral fat constitutes important predictor of metabolic and cardiovascular risk in children and adolescents, and the waist circumference (WC) is the best anthropometric variable to estimate it. The objective was to estimate the specific WC percentiles by age and gender for children and adolescents, using data obtained from Maracaibo Municipality of Zulia State, Venezuela. For this purpose, a sample of 1787 children and adolescents (884 boys and 903 girls) from 2 until 18 years old, were selected by conglomerate random sampling. A complete physical examination and anthropometric evaluation was performed to each patient to confirm their healthy state. Construction of the smoothed centile curves was performed using the LMS method. Mean WC increased with age, with the values being similar between males and females until 8 years old, after which values are slightly higher in males. For both genders, the values of WC in each percentile increased with the age. Compared with other countries, our values of WC in percentile 50 for both groups were similar, but slightly superior to the values registered by Colombia, Canada, USA, Hong Kong and London until age 9, after this age a constant increase in average of 2.5 cm from one year to another was observed. Both gender curves approach the USA curves. Nevertheless, an increase in the values of WC in the male group from the 10 years was observed, compared with the other countries, even USA. These first estimations of percentiles of WC and their corresponding curves for children and adolescents from Maracaibo Municipality, will allow to identify subjects with abdominal obesity (after cut-off points are established in future investigations) and thus to define not only the strategies for attention, but also for prevention cardiovascular and metabolic risk in this vulnerable group. An Venez Nutr 2011; 24(1): 13-20.
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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 | 0.000 | 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".