Design and validation of a novel estimator of visceral adipose tissue area and comparison to existing adiposity surrogates.

ABSTRACT:

Aims

Visceral adiposity measured by computed tomography (CT) as intra-abdominal fat area (IAFA) predicts metabolic diseases. Existing adiposity surrogates have not been systematically compared to a regression-based model derived in individuals of Japanese ancestry. We developed and validated a method to estimate IAFA in individuals of Japanese ancestry and compared it to existing adiposity surrogates.

Methods

We assessed age, BMI, waist circumference (WC), fasting lipids, glucose, smoking status, grip strength, mid-thigh circumference (MTC), humeral length, leg length, and IAFA by single-slice CT at the umbilicus for 622 Japanese Americans. We used stepwise linear regression to predict IAFA and termed the predicted value the Estimate of Visceral Adipose Tissue Area (EVA). Fo

SUBMITTER: Wander PL 

PROVIDER: S-EPMC6174110 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature