ArticlePediatric research2019
A waist-to-height ratio of 0.54 is a good predictor of metabolic syndrome in 16-year-old male and female adolescents.
Article in Pediatric research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 51 citations in OpenAlex.
- Relationship between serum lipids/adipokines and obesity/hypertension in very-preterm infants during early childhood and preadolescence.Pediatric research · 2026Article
- Genetic insights of waist-to-height ratio on the risk of steatotic and advanced liver diseases: genome-wide association study and polygenic risk score-based analyses.Human genomics · 2025Article
- Associations between social network addiction, anxiety symptoms, and risk of metabolic syndrome in Peruvian adolescents-a cross-sectional study.Frontiers in public health · 2024Article
- Diagnosis accuracy of waist-to-height ratio to predict cardiometabolic risk in children with obesity.Pediatric research · 2023Observational
- Assessment of a consensus definition of obesity and metabolic health phenotypes in children at different pubertal stages.Scientific reports · 2022Article
- Effects of growth hormone on lipid metabolism and sexual development in pubertal obese male rats.Open life sciences · 2022Article
- Analysis of fitness among Korean adults by the cause-effect relation in lump mean scheme.BMC sports science, medicine & rehabilitation · 2021Article
- Performance of waist-to-height ratio as a screening tool for identifying cardiometabolic risk in children: a meta-analysis.Diabetology & metabolic syndrome · 2021Article
- Food intake, physical activity and body composition of adolescents and young adults: data from Brazilian Study of Nutrition and Health.BMC public health · 2021Article
- Diagnosis of Waist Muscle Injury after Exercise Based on High-Frequency Ultrasound Image.Journal of healthcare engineering · 2021Article
- Association Between Obesity and Blood Pressure in Common Korean People.Vascular health and risk management · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundWe aimed to determine the sensitivity and specificity of selected anthropometric indicators as predictors of cardiovascular risk in adolescents.
methodsCross-sectional study in 678 adolescents (16.8 y ± 0.3) from an infancy cohort. Weight, height, waist circumference (WC), and hip circumference were measured. Body mass index (BMI), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) were estimated. MetS was diagnosed with IDF/AHA/NHLBI. Optimal cutoffs of BMI, WC, WHR, and WHtR for diagnosing MetS were determined using ROC analysis.
resultsIn males, WHtR (0.96) had the greatest area under the ROC curve, followed by WC (0.95) and BMI (0.93). In females, BMI (0.84) had the greatest area under the ROC curve (0.84), followed by WHtR (0.83) and WC (0.83). In both sexes, the optimal WHtR cutoff for MetS diagnosis was 0.54. A BMI of 26.9 in males and 26.3 in females were the optimal cutoffs for diagnosing MetS. Finally, WC values of 92 and 81.6 cm in males and females, respectively, were the optimal cutoffs for MetS diagnosis.
conclusionsIn both sexes, a WHtR value of 0.54 was a good predictor of MetS. In males and females, the optimal cutoff of BMI for Mets diagnosis was below the values for diagnosing obesity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.