Gebru, Nardos Wondafrash

Habtamu, Marekegn

Hassen, Hamid

Jima, Beshada Rago

Sisay, Binyam Girma

Abstract: Objective This study aims to identify the best anthropometric indices for predicting metabolic syndrome (Mets) in U.S. adolescents. Research Methods & Procedures A cross-sectional study analyzed data of adolescents aged 10-19 years using the national health and nutrition examination survey (NHANES) 2011-2018 data. The area under the ROC curves (AUC) of waist-circumference Z-score (WC Z-score), body roundness index (BRI), body mass index (BMI) and a body shape index (ABSI) in identifying Mets were assessed. Furthermore, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive and negative likelihood ratio of all anthropometric indices were calculated. Results A total of 5496 adolescents were included in analysis. WC Z-score had an AUC of 0.90 (95% CI: 0.89, 0.91), sensitivity of 95.0% (95% CI: 89.4, 98.1) and specificity of 74.8% (95% CI: 73.6, 76.0). BRI had an AUC of 0.88 (95% CI: 0.87, 0.89), sensitivity of 96.7% (95% CI: 91.7,99.1), and specificity of 75.2% (95% CI: 74.1, 76.4). BMI Z-score had an AUC of 0.83 (95% CI: 0.81, 0.85), sensitivity of 97.5% (95% CI: 92.9,99.5) and specificity of 68.2% (95% CI: 66.9, 69.4). ABSI had an AUC of 0.59 (95% CI: 0.56-0.61), sensitivity of 75.0% (95% CI: 66.3, 82.5), and specificity of 50.9% (95% CI: 49.5, 52.2). Conclusions Our study demonstrated WC Z-score and BRI were the best predictor of Mets than BMI Z-score and ABSI in both boys and girls. We recommend future studies to develop global cutoff points for these anthropometric indices, and examine its performance in multi country setting

Institutional Repository Universiteit Antwerpen

The predictive ability of anthropometric indices in identifying metabolic syndrome among U.S. adolescents aged 10-19 years old : analysis from the NHANES 2011\u20132018 dataset

The predictive ability of anthropometric indices in identifying metabolic syndrome among U.S. adolescents aged 10-19 years old : analysis from the NHANES 2011\u20132018 dataset

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Institutional Repository Universiteit Antwerpen