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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.
- 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.)
- Subjects :
- Adolescent
Algorithms
Body Mass Index
Body Size
Child
Female
Humans
Image Processing, Computer-Assisted
Luxembourg
Magnetic Resonance Imaging
Male
Reproducibility of Results
Sex Characteristics
Thigh
Waist Circumference
Adiposity
Intra-Abdominal Fat diagnostic imaging
Models, Biological
Overweight diagnostic imaging
Pediatric Obesity diagnostic imaging
Subcutaneous Fat, Abdominal diagnostic imaging
Subjects
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