Literature DB >> 28916572

Anthropometric Indicators as Body Fat Discriminators in Children and Adolescents: A Systematic Review and Meta-Analysis.

Carlos As Alves Junior1, Michel C Mocellin2, Eliane C Andrade Gonçalves1, Diego As Silva1, Erasmo Bsm Trindade2.   

Abstract

We analyzed the discriminatory capacity of anthropometric indicators for body fat in children and adolescents. This systematic review and meta-analysis included cross-sectional and clinical studies comprising children and adolescents aged 2-19 y that tested the discriminatory value for body fat measured by anthropometric methods or indexes generated by anthropometric variables compared with precision methods in the diagnosis of body fat [dual-energy X-ray absorptiometry (DXA), computed tomography, air displacement plethysmography (ADP), or MRI]. Five studies met the eligibility criteria and presented high methodologic quality. The anthropometric indicators that had high discriminatory power to identify high body fat were body mass index (BMI) in males [area under the curve (AUC): 0.975] and females (AUC: 0.947), waist circumference (WC) in males (AUC: 0.975) and females (AUC: 0.959), and the waist-to-height ratio (WTHR) in males (AUC: 0.897) and females (AUC: 0.914). BMI, WC, and WTHR can be used by health professionals to assess body fat in children and adolescents.
© 2017 American Society for Nutrition.

Entities:  

Keywords:  HIV; adolescents; anthropometry; body composition; children

Mesh:

Year:  2017        PMID: 28916572      PMCID: PMC5593108          DOI: 10.3945/an.117.015446

Source DB:  PubMed          Journal:  Adv Nutr        ISSN: 2161-8313            Impact factor:   8.701


  17 in total

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Review 4.  Measuring the accuracy of diagnostic systems.

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5.  Matrix Gla protein regulates adipogenesis and is serum marker of visceral adiposity.

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6.  Relationship between body mass index and physical fitness of children and adolescents in Xinjiang, China: a cross-sectional study.

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10.  Diagnostic Performance and Appropriate Cut-Offs of Different Anthropometric Indicators for Detecting Children with Overweight and Obesity.

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