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Subtraction of subcutaneous fat to improve the prediction of visceral adiposity: exploring a new anthropometric track in overweight and obese youth.

Authors :
Samouda H
De Beaufort C
Stranges S
Van Nieuwenhuyse JP
Dooms G
Keunen O
Leite S
Vaillant M
Lair ML
Dadoun F
Source :
Pediatric diabetes [Pediatr Diabetes] 2017 Aug; Vol. 18 (5), pp. 399-404. Date of Electronic Publication: 2016 Jul 12.
Publication Year :
2017

Abstract

Background: The efficiency of traditional anthropometric measurements such as body mass index (BMI) or waist circumference (Waist C) used to replace biomedical imaging for assessing visceral adipose tissue (VAT) is still highly controversial in youth.<br />Hypothesis and Objectives: We evaluated the most accurate model predicting VAT in overweight/obese youth, using various anthropometric measurements and their correlation with different body fat compartments, especially by testing, for the first time in youth, the hypothesis that subtracting the anthropometric measurement the most highly correlated with subcutaneous abdominal adipose tissue (SAAT) and less correlated possible with VAT from an anthropometric abdominal measurement highly correlated with visceral and total abdominal adipose tissue (TAAT), predicts VAT with higher accuracy.<br />Subjects and Methods: VAT and SAAT data resulted from magnetic resonance imaging (MRI) analysis performed on 181 boys and girls (7-17 y) from Diabetes & Endocrinology Care Paediatrics Clinic in Luxembourg. Height, weight, abdominal diameters, waist, hip, and thigh circumferences were measured with a view to developing the anthropometric VAT predictive algorithms.<br />Results: In girls, subtracting proximal thigh circumference (Proximal Thigh C), the most closely correlated anthropometric measurement with SAAT, from Waist C, the most closely correlated anthropometric measurement with VAT was instrumental in improving VAT prediction, in comparison with the most accurate single VAT anthropometric surrogate. [Formula: see text] Residual analysis showed a negligible estimation error (5 cm <superscript>2</superscript> ). In boys, Waist C was the best VAT predictor.<br />Conclusions: Subtraction of abdominal subcutaneous fat is important to predict VAT in overweight/obese girls.<br /> (© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Details

Language :
English
ISSN :
1399-5448
Volume :
18
Issue :
5
Database :
MEDLINE
Journal :
Pediatric diabetes
Publication Type :
Academic Journal
Accession number :
27400675
Full Text :
https://doi.org/10.1111/pedi.12415