Neck Circumference Percentiles of Iranian Children and Adolescents: The Weight Disorders Survey of CASPIAN IV Study
Bibliographic record
Abstract
BACKGROUND: Neck circumference (NC), emerging as a key morphological index for pediatric obesity, is associated with obesity- and overweight-related detrimental conditions in children. In this study, we aimed to provide the age- and sex-specific percentile reference values for neck circumference of the Iranian children and adolescents. METHODS: We used the data gathered through the weight disorders survey of CASPIAN IV study conducted in 2011 - 2012 in Iran, including a total of 21954 Iranian children and adolescents, composed of 10750 girls and 11204 boys, aged 7 - 18 years old. We presented the interval of NC percentile in three age groups of 7 - 10 years, 11 - 14 years, and 15 - 18 years. Finally, age-specific nomograms of NC for both genders in the Iranian and Canadian populations were compared. RESULTS: The intervals of 90th percentile of NC for boys in the three periods of school age (7 - 10 years), pre-adolescence (11 - 14 years), and adolescence (15 - 18 years) were 24.2 - 30.0 cm, 26.6 - 33.2 cm, and 30.1 - 38.5 cm, respectively. These intervals for girls were 23.7 - 30.1 cm, 26.5 - 33.7 cm, and 28.5 - 36.0 cm, respectively. NC increased with age in both boys and girls and its variability showed an increasing trend with age. CONCLUSIONS: We demonstrated for the first time the NC reference values for the Iranian children and adolescents aged 7 - 18 years old. Considering the significant differences between our national NC references and the values reported from the Canadian population, it seems logical to use these national percentiles not only for epidemiologic studies but also for routine clinical examinations.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".