Disclosure: The authors declare no conflict of interest.
VAT=TAAT-SAAT: Innovative anthropometric model to predict visceral adipose tissue without resort to CT-Scan or DXA †
Version of Record online: 12 MAR 2013
Copyright © 2013 The Obesity Society
Volume 21, Issue 1, pages E41–E50, January 2013
How to Cite
Samouda, H., Dutour, A., Chaumoitre, K., Panuel, M., Dutour, O. and Dadoun, F. (2013), VAT=TAAT-SAAT: Innovative anthropometric model to predict visceral adipose tissue without resort to CT-Scan or DXA . Obesity, 21: E41–E50. doi: 10.1002/oby.20033
Funding agencies: H.S. was supported by a Provence-Alpes-Côte d'Azur Region grant, France.
- Issue online: 12 MAR 2013
- Version of Record online: 12 MAR 2013
- Accepted manuscript online: 19 SEP 2012 07:29AM EST
- Manuscript Accepted: 12 JUL 2012
- Manuscript Received: 16 APR 2011
- Provence-Alpes-Côte d'Azur Region
Additional Supporting Information may be found in the online version of this article.
|OBY_20033_sm_SuppInfo.doc||142K||Supplementary material file (Word format) includes 1.Statistics relating to the VAT prediction models using 2 measures highly correlated with VAT and comparisons with our anthropometric models (Annexes A, B); 2.Models with SAD, the best VAT predictor, substituted for Waist C because of its easier feasibility and good prediction of VAT (Annexe C).|
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