VAT=TAAT-SAAT: innovative anthropometric model to predict visceral adipose tissue without resort to CT-Scan or DXA
- PMID: 23404678
- PMCID: PMC3618381
- DOI: 10.1002/oby.20033
VAT=TAAT-SAAT: innovative anthropometric model to predict visceral adipose tissue without resort to CT-Scan or DXA
Abstract
Objective: To investigate whether a combination of a selected but limited number of anthropometric measurements predicts visceral adipose tissue (VAT) better than other anthropometric measurements, without resort to medical imaging.
Hypothesis: Abdominal anthropometric measurements are total abdominal adipose tissue indicators and global measures of VAT and SAAT (subcutaneous abdominal adipose tissue). Therefore, subtracting the anthropometric measurement the more correlated possible with SAAT while being the least correlated possible with VAT, from the most correlated abdominal anthropometric measurement with VAT while being highly correlated with TAAT, may better predict VAT.
Design and methods: BMI participants' range was from 16.3 to 52.9 kg m(-2) . Anthropometric and abdominal adipose tissues data by computed tomography (CT-Scan) were available in 253 patients (18-78 years) (CHU Nord, Marseille) and used to develop the anthropometric VAT prediction models.
Results: Subtraction of proximal thigh circumference from waist circumference, adjusted to age and/or BMI, predicts better VAT (Women: VAT = 2.15 × Waist C - 3.63 × Proximal Thigh C + 1.46 × Age + 6.22 × BMI - 92.713; R(2) = 0.836. Men: VAT = 6 × Waist C - 4.41 × proximal thigh C + 1.19 × Age - 213.65; R(2) = 0.803) than the best single anthropometric measurement or the association of two anthropometric measurements highly correlated with VAT. Both multivariate models showed no collinearity problem. Selected models demonstrate high sensitivity (97.7% in women, 100% in men). Similar predictive abilities were observed in the validation sample (Women: R(2) = 76%; Men: R(2) = 70%). Bland and Altman method showed no systematic estimation error of VAT.
Conclusion: Validated in a large range of age and BMI, our results suggest the usefulness of the anthropometric selected models to predict VAT in Europides (South of France).
Copyright © 2013 The Obesity Society.
Figures


Similar articles
-
Subtraction of subcutaneous fat to improve the prediction of visceral adiposity: exploring a new anthropometric track in overweight and obese youth.Pediatr Diabetes. 2017 Aug;18(5):399-404. doi: 10.1111/pedi.12415. Epub 2016 Jul 12. Pediatr Diabetes. 2017. PMID: 27400675
-
The relationship between DXA-based and anthropometric measures of visceral fat and morbidity in women.BMC Cardiovasc Disord. 2013 Apr 3;13:25. doi: 10.1186/1471-2261-13-25. BMC Cardiovasc Disord. 2013. PMID: 23552273 Free PMC article.
-
Dual-energy X-ray performs as well as clinical computed tomography for the measurement of visceral fat.Obesity (Silver Spring). 2012 May;20(5):1109-14. doi: 10.1038/oby.2011.367. Epub 2012 Jan 12. Obesity (Silver Spring). 2012. PMID: 22240726 Free PMC article.
-
Visceral adiposity and inflammatory bowel disease.Int J Colorectal Dis. 2021 Nov;36(11):2305-2319. doi: 10.1007/s00384-021-03968-w. Epub 2021 Jun 9. Int J Colorectal Dis. 2021. PMID: 34104989 Review.
-
Assessment of correlation between conventional anthropometric and imaging-derived measures of body fat composition: a systematic literature review and meta-analysis of observational studies.BMC Med Imaging. 2023 Sep 14;23(1):127. doi: 10.1186/s12880-023-01063-w. BMC Med Imaging. 2023. PMID: 37710156 Free PMC article.
Cited by
-
Digital Biometry as an Obesity Diagnosis Tool: A Review of Current Applications and Future Directions.Life (Basel). 2024 Jul 28;14(8):947. doi: 10.3390/life14080947. Life (Basel). 2024. PMID: 39202689 Free PMC article. Review.
-
Baseline Serum Levels of Beclin-1, but Not Inflammatory Factors, May Predict Antidepressant Treatment Response in Chinese Han Patients With MDD: A Preliminary Study.Front Psychiatry. 2019 Jun 6;10:378. doi: 10.3389/fpsyt.2019.00378. eCollection 2019. Front Psychiatry. 2019. PMID: 31244689 Free PMC article.
-
A Novel Hybrid Model for Visceral Adipose Tissue Prediction using Shape Descriptors.Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:1729-1732. doi: 10.1109/EMBC.2019.8857092. Annu Int Conf IEEE Eng Med Biol Soc. 2019. PMID: 31946231 Free PMC article.
-
Novel Biomarkers of Grade I Left Ventricular Diastolic Dysfunction in Type 2 Diabetes Patients with Metabolic-Dysfunction-Associated Steatotic Liver Disease.J Clin Med. 2024 Oct 2;13(19):5901. doi: 10.3390/jcm13195901. J Clin Med. 2024. PMID: 39407960 Free PMC article.
-
Dietary food patterns and glucose/insulin homeostasis: a cross-sectional study involving 24,182 adult Americans.Lipids Health Dis. 2017 Oct 4;16(1):192. doi: 10.1186/s12944-017-0571-x. Lipids Health Dis. 2017. PMID: 28978343 Free PMC article.
References
-
- Despres JP, Lemieux I. Abdominal obesity and metabolic syndrome. Nature. 2006;444:881–887. - PubMed
-
- Kuk JL, Katzmarzyk PT, Nichaman MZ, et al. Visceral fat is an independent predictor of all-cause mortality in men. Obesity (Silver Spring) 2006;14:336–341. - PubMed
-
- Fox CS, Massaro JM, Hoffmann U, et al. Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study. Circulation. 2007;116:39–48. - PubMed
-
- Poirier P, Despres JP. Waist circumference, visceral obesity, and cardiovascular risk. J Cardiopulm Rehabil. 2003;23:161–169. - PubMed
-
- Nicklas BJ, Penninx BW, Ryan AS, et al. Visceral adipose tissue cutoffs associated with metabolic risk factors for coronary heart disease in women. Diabetes Care. 2003;26:1413–1420. - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources