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

Anthropometrically predicted visceral adipose tissue and blood-based biomarkers: a... Eur J Nutr (2018) 57:191–198 https://doi.org/10.1007/s00394-016-1308-8 ORIGINAL CONTRIBUTION Anthropometrically predicted visceral adipose tissue and blood‑based biomarkers: a cross‑sectional analysis 1,2 2 3 Justin C. Brown · Michael O. Harhay · Meera N. Harhay Received: 9 July 2016 / Accepted: 31 August 2016 / Published online: 10 September 2016 © Springer-Verlag Berlin Heidelberg 2016 Abstract accounted for more variance in biomarkers of inflammation 2 2 Purpose We hypothesized that anthropometrically pre- than BMI (ΔR = 3.8 %; P < 0.001), WC (ΔR = 3.1 %; dicted visceral adipose tissue (apVAT) accounts for more P < 0.001), and BMI + WC (ΔR = 2.9 %; P < 0.001). variance in blood-based biomarkers of glucose homeosta- apVAT accounted for more variance in biomarkers of lipid sis, inflammation, and lipid metabolism than body mass metabolism than BMI (ΔR = 2.9–9.2 %; P < 0.001), index (BMI), waist circumference (WC), and the combina- WC (ΔR = 2.9–5.2 %; P < 0.001), and BMI + WC tion of BMI and WC (BMI + WC). (ΔR = 2.4–4.1 %; P ≤ 0.01). Methods This was a cross-sectional analysis of 10,624 Conclusions apVAT, estimated with simple and widely males and females who participated in the Third National http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png European Journal of Nutrition Springer Journals

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

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Publisher
Springer Journals
Copyright
Copyright © 2016 by Springer-Verlag Berlin Heidelberg
Subject
Chemistry; Nutrition
ISSN
1436-6207
eISSN
1436-6215
D.O.I.
10.1007/s00394-016-1308-8
Publisher site
See Article on Publisher Site

Abstract

Eur J Nutr (2018) 57:191–198 https://doi.org/10.1007/s00394-016-1308-8 ORIGINAL CONTRIBUTION Anthropometrically predicted visceral adipose tissue and blood‑based biomarkers: a cross‑sectional analysis 1,2 2 3 Justin C. Brown · Michael O. Harhay · Meera N. Harhay Received: 9 July 2016 / Accepted: 31 August 2016 / Published online: 10 September 2016 © Springer-Verlag Berlin Heidelberg 2016 Abstract accounted for more variance in biomarkers of inflammation 2 2 Purpose We hypothesized that anthropometrically pre- than BMI (ΔR = 3.8 %; P < 0.001), WC (ΔR = 3.1 %; dicted visceral adipose tissue (apVAT) accounts for more P < 0.001), and BMI + WC (ΔR = 2.9 %; P < 0.001). variance in blood-based biomarkers of glucose homeosta- apVAT accounted for more variance in biomarkers of lipid sis, inflammation, and lipid metabolism than body mass metabolism than BMI (ΔR = 2.9–9.2 %; P < 0.001), index (BMI), waist circumference (WC), and the combina- WC (ΔR = 2.9–5.2 %; P < 0.001), and BMI + WC tion of BMI and WC (BMI + WC). (ΔR = 2.4–4.1 %; P ≤ 0.01). Methods This was a cross-sectional analysis of 10,624 Conclusions apVAT, estimated with simple and widely males and females who participated in the Third National

Journal

European Journal of NutritionSpringer Journals

Published: Sep 10, 2016

References

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