publication . Article . 2016

Body composition phenotypes and metabolic risk

M. Powell; J. Lara; G. Mocciaro; C. M. Prado; A. Battezzati; A. Leone; A. Tagliabue; R. de Amicis; L. Vignati; S. Bertoli; ...
Open Access English
  • Published: 21 Nov 2016
  • Publisher: Wiley-Blackwell
  • Country: United Kingdom
Abstract
Summary The ratio between fat mass (FM) and fat-free mass (FFM) has been used to discriminate individual differences in body composition and improve prediction of metabolic risk. Here, we evaluated whether the use of a visceral adipose tissue-to-fat-free mass index (VAT:FFMI) ratio was a better predictor of metabolic risk than a fat mass index to fat-free mass index (FMI:FFMI) ratio. This is a cross-sectional study including 3441 adult participants (age range 18–81; men/women: 977/2464). FM and FFM were measured by bioelectrical impedance analysis and VAT by ultrasonography. A continuous metabolic risk Z score and harmonised international criteria were used to d...
Subjects
free text keywords: B900, C400, Standard score, Mass index, Obesity, medicine.disease, medicine, business.industry, business, Sarcopenia, Linear regression, Internal medicine, medicine.medical_specialty, Bioelectrical impedance analysis, Demography, Endocrinology, Metabolic syndrome, Multivariate statistics
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue