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Anthropometrically predicted visceral adipose tissue and blood-based biomarkers: a cross-sectional analysis
Journal article   Open access   Peer reviewed

Anthropometrically predicted visceral adipose tissue and blood-based biomarkers: a cross-sectional analysis

Justin C. Brown, Michael O. Harhay and Meera N. Harhay
European journal of nutrition, v 57(1), pp 191-198
01 Feb 2018
DOI: https://doi.org/10.1007/s00394-016-1308-8
PMID: 27614626
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://europepmc.org/articles/pmc5513780View
Accepted (AM)Open Access (License Unspecified),  Open

Abstract

Life Sciences & Biomedicine Nutrition & Dietetics Science & Technology
Purpose We hypothesized that anthropometrically predicted visceral adipose tissue (apVAT) accounts for more variance in blood-based biomarkers of glucose homeostasis, inflammation, and lipid metabolism than body mass index (BMI), waist circumference (WC), and the combination of BMI and WC (BMI + WC). Methods This was a cross-sectional analysis of 10,624 males and females who participated in the Third National Health and Nutrition Examination Survey (NHANES III; 1988-1994). apVAT was predicted from a validated regression equation that included age, height, weight, waist, and thigh circumferences. Bootstrapped linear regression models were used to compare the proportion of variance (R-2) in biomarkers explained by apVAT, BMI, WC, and BMI + WC. Results apVAT accounted for more variance in biomarkers of glucose homeostasis than BMI (Delta R-2 = 8.4-11.8 %; P < 0.001), WC (Delta R-2 = 5.5-8.4 %; P < 0.001), and BMI + WC (Delta R-2 = 5.1-7.7 %; P < 0.001). apVAT accounted for more variance in biomarkers of inflammation than BMI (Delta R-2 = 3.8 %; P < 0.001), WC (Delta R-2 = 3.1 %; P < 0.001), and BMI + WC (Delta R-2 = 2.9 %; P < 0.001). apVAT accounted for more variance in biomarkers of lipid metabolism than BMI (Delta R-2 = 2.9-9.2 %; P < 0.001), WC (Delta R-2 = 2.9-5.2 %; P < 0.001), and BMI + WC (Delta R-2 = 2.4-4.1 %; P <= 0.01). Conclusions apVAT, estimated with simple and widely used anthropometric measures, accounts for more variance in blood-based biomarkers than BMI, WC, and BMI + WC. Clinicians and researchers may consider utilizing apVAT to characterize cardio-metabolic health, particularly in settings with limited availability of imaging and laboratory data.

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8 citations in Web of Science
12 citations in Scopus

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Collaboration types
Domestic collaboration
Web of Science research areas
Nutrition & Dietetics
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