Added values of DXA-derived visceral adipose tissue to discriminate cardiometabolic risks in pre-pubertal children.

ABSTRACT: BACKGROUND:The new generation of dual energy X-ray absorptiometry (DXA) scanners provide visceral adipose tissue (VAT) estimates by applying different algorithms to the conventional DXA-derived fat parameters such as total fat, trunk fat and android fat for the same image data. OBJECTIVE:This cross-sectional study aimed to investigate whether VAT estimates from Hologic scanners are better predictors of VAT than conventional DXA parameters in pre-pubertal children, and to explore the discrimination ability of these VAT methods for cardiometabolic risks. METHODS:Healthy pre-pubertal children aged 7-10 years were recruited for basic anthropometric, DXA and magnetic resonance imaging (MRI) measurements. Laboratory tests included lipid profile, glycaemic tests and blood pressure. RESULTS:All VA

SUBMITTER: Lee LW 

PROVIDER: S-EPMC7219764 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature