ArticleObesity (Silver Spring, Md.)2024
Anthropometry for predicting cardiometabolic disease risk factors in adolescents.
Article in Obesity (Silver Spring, Md.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- Article
- Association of Total Body Fat Percentiles, Obesity and Cardiometabolic Health Biomarkers in Adults in the United States.Obesity science & practice · 2026Article
- Do nutritional variables improve cardiovascular disease prediction? A comparative machine learning analysis.Frontiers in nutrition · 2026Article
- A Temporal Validation Study of Diagnostic Prediction Models for the Screening of Elevated Low-Density and Non-High-Density Lipoprotein Cholesterol.Journal of clinical medicine · 2025Article
- The relationship between sarcopenic obesity and prediabetes in adolescents: Analysis of the national health and nutrition examination survey from 2011 to 2016.Journal of clinical & translational endocrinology · 2025Article
- Accuracy of anthropometric parameters in predicting prediabetes among adolescents in Eastern Sudan: a community-based cross-sectional study.BMC endocrine disorders · 2025Article
- Prediction of Hypertension Based on Anthropometric Parameters in Adolescents in Eastern Sudan: A Community-Based Study.Vascular health and risk management · 2024Article
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9 authors.
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Abstract
objectiveEarly screening prevents chronic diseases by identifying at-risk adolescents through anthropometric measurements, but predictive value in diverse groups is uncertain.
methodsA cross-sectional analysis of 12- to 19-year-old individuals from the 2017-2018 National Health and Nutrition Examination Survey (NHANES) assessed the predictive ability of BMI percentile, total body fat percentage, waist circumference (WC), and waist-hip ratio (WHR) for four cardiometabolic risk factors across race and ethnicity groups using receiver operating characteristic curves.
resultsThe unweighted sample (N = 1194; 51.2% male individuals; 23.7% Hispanic, 13.2% non-Hispanic Black [NHB], 51.1% non-Hispanic White [NHW], 12.0% other/multirace) had a weighted prevalence of elevated blood pressure of 2.7%, hyperglycemia of 36.8%, hypertriglyceridemia of 4.8%, and low high-density lipoprotein (HDL) cholesterol of 15%. WHR (area under the curve [AUC] = 0.77), WC (AUC = 0.77), and BMI percentile (AUC = 0.73) outperformed total body fat percentage (AUC = 0.56) in predicting elevated blood pressure (p < 0.001 for all). BMI percentile was more accurate than total body fat percentage in predicting hypertriglyceridemia (AUC = 0.70 vs. 0.59; p = 0.02) and low HDL cholesterol (AUC = 0.69 vs. 0.59; p < 0.001). Race and ethnicity-based predictions varied: NHW adolescents had the highest AUC (0.89; p < 0.01) for elevated blood pressure prediction compared with Hispanic and NHB adolescents (AUC = 0.77 for both). Total body fat percentage was more accurate in predicting low HDL cholesterol among Hispanic versus NHW adolescents (AUC = 0.73 vs. 0.58; p = 0.04).
conclusionsWHR, WC, and BMI percentile are better predictors of cardiometabolic risk factors in adolescents than total body fat percentage. Predictive abilities differed by race and ethnicity, highlighting the importance of tailored risk assessment strategies.
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