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

Journal of Diabetes and Its Complications
Pandora L WanderE J Boyko

Abstract

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. 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). For men, the final model included age, BMI, WC, high-density lipoprotein cholesterol (HDLc), glucose, and MTC; for women, age, BMI, WC, HDLc, low-density lipoprotein cholesterol, glucose, and MTC. We compared goodness-of-fit (R2) from linear regression models and mean-squared errors (MSE) from k-fold cross-validation to compare the ability of EVA to estimate IAFA compared to an estimate by Després et al., waist-to-height ratio, WC, deep abdominal adipose tissue index, BMI,...Continue Reading

Citations

Mar 27, 2019·Diabetes/metabolism Research and Reviews·Efi KoloverouUNKNOWN ATTICA Study group
Aug 12, 2019·Clinical Nutrition : Official Journal of the European Society of Parenteral and Enteral Nutrition·Omar Yaxmehen Bello-ChavollaCarlos A Aguilar-Salinas

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