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Journal of Pediatric Endocrinology and Metabolism

Editor-in-Chief: Kiess, Wieland

Ed. by Bereket, Abdullah / Darendeliler, Feyza / Dattani, Mehul / Gustafsson, Jan / Luo, Fei Hong / Mericq, Veronica / Toppari, Jorma

IMPACT FACTOR 2018: 1.239

CiteScore 2018: 1.22

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Volume 32, Issue 1


Utility of anthropometric indicators to screen for clustered cardiometabolic risk factors in children and adolescents

Teresa Maria Bianchini de Quadros / Alex Pinheiro Gordia / Alynne Christian Ribeiro Andaki
  • Department of Sport Sciences, Federal University of Triângulo Mineiro, Uberaba, Minas Gerais, Brazil
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/ Edmar Lacerda Mendes
  • Department of Sport Sciences, Federal University of Triângulo Mineiro, Uberaba, Minas Gerais, Brazil
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/ Jorge Mota
  • Research Centre in Physical Activity Health and Leisure, Faculty of Sport Sciences, University of Porto, Porto, Portugal
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/ Luciana Rodrigues Silva
  • Faculty of Medicine, Graduate Program in Medicine and Health, Federal University of Bahia, Salvador, Bahia, Brazil
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Published Online: 2018-12-11 | DOI: https://doi.org/10.1515/jpem-2018-0217



Anthropometric indicators are associated with cardiometabolic risk factors (CMRF), but there is no consensus as to which indicator is the most suitable to screen for clustered CMRF. This study aimed to evaluate the utility of five anthropometric indicators to screen for clustered CMRF in children and adolescents.


A cross-sectional study was conducted in 1139 schoolchildren aged 6–17 years from Northeastern Brazil. Body weight, height, waist circumference (WC) and subscapular (SSF) and triceps skinfold thickness (TSF) were measured. Body mass index (BMI) and waist-to-height ratio (WHtR) were calculated. The following CMRF were evaluated: elevated total cholesterol, low high-density lipoprotein-cholesterol (HDL-C), elevated low-density lipoprotein-cholesterol (LDL-C), high triglyceride concentration, hyperglycemia and high blood pressure. The participants were categorized into no CMRF, 1 CMRF, 2 CMRF and ≥3 CMRF. Receiver operating characteristic (ROC) curves were constructed to assess the accuracy of the anthropometric indicators in predicting CMRF for age group and sex.


Poor associations were observed between the anthropometric indicators and 1 CMRF (accuracy of 0.49–0.64). The indicators showed moderate associations with 2 CMRF (accuracy of 0.57–0.75) and ≥3 CMRF (accuracy of 0.59–0.79). In general, TSF exhibited the worst performance in predicting CMRF, followed by WHtR. The highest accuracies were observed for BMI, WC and SSF, with no significant difference between these indicators.


The routine use of BMI, WC and SSF as epidemiological screening tools for clustered CMRF in childhood and adolescence should be encouraged.

Keywords: adolescent; anthropometry; cardiovascular diseases; child; obesity


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About the article

Corresponding author: Teresa Maria Bianchini de Quadros, PhD, Physical Education Course, Federal University of Recôncavo of Bahia, Av. Nestor de Melo Pita, 535-Centro, Amargosa, CEP 45300-000, Bahia, Brazil, Phone: +55 41 987977020

Received: 2018-05-16

Accepted: 2018-11-11

Published Online: 2018-12-11

Published in Print: 2019-01-28

Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

Research funding: This work was supported by Fundação de Amparo à Pesquisa do Estado da Bahia – FAPESB, Brazil, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – CAPES, Brazil, and Fundação para a Ciência e a Tecnologia – FCT, Portugal.

Employment or leadership: None declared.

Honorarium: None declared.

Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

Citation Information: Journal of Pediatric Endocrinology and Metabolism, Volume 32, Issue 1, Pages 49–55, ISSN (Online) 2191-0251, ISSN (Print) 0334-018X, DOI: https://doi.org/10.1515/jpem-2018-0217.

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