Evaluating the waist circumference and waist–to–height ratio as most reliable indicators to determine abdominal obesity among adolescents: Findings from a cross-sectional study in Kazakhstan
Bibliographic record
Abstract
Childhood obesity is a significant public health issue in Kazakhstan and worldwide. The prevalence of teenager obesity has increased almost three times over the past 20 years among adolescents from 12 to 19 years old. This study aimed to evaluate the waist–to–height ratio (WHtR) as the most informative method for identifying abdominal obesity among young people of 12–13 years old. In this cross–sectional study of 1519 adolescents aged 12–13years (mean age: 12.3 ± 0.46years), data were obtained from the from all the seven secondary schools in Semey city (Kazakhstan) science during 2015–2016. Statistical analyses were performed using SPSS (version 22). The prevalence of overweight and obesity in terms of body mass index (BMI) among adolescents was 24.6 %. Excess weight is significantly higher among girls, but obesity is less pronounced in comparison with boys. According to body BMI by ethnicity overweight is more prevalent among Russian teenagers. The prevalence of abdominal obesity (WC˃90 Th percentile) was 1.2 % among boys (n = 9) and 5.3 % among girls (n = 41). According to the WHtR, the obesity among boys (n = 57) was 7.7 % and 7.5 % among girls (n = 58) respectively. The prevalence of overweight and obesity was found to be 24.6 % in adolescents. Underweight or overweight were significantly higher among girls, but obesity was less pronounced compared with boys (р˃0,001). Our study recommends to use both WC and WHtR in determining abdominal obesity among adolescents. • Waist-to-height ratio (WHtR) is an effective indicator for detecting abdominal obesity in all adolescents in Kazakhstan. • The prevalence of overweight and obesity based on BMI in 12–13-year-olds was 25 %. • Girls had a higher prevalence of overweight, while boys showed more pronounced obesity. • WHtR was found to be more effective in identifying abdominal obesity cases than waist circumference alone (WC > 90th percentile). • Russian ethnicity adolescents showed a higher rate of overweight compared to other groups.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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".