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Current Medical Research and Opinion Volume 24, 2008 - Issue 7
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Original Article

MRI total sagittal abdominal diameter as a predictor of metabolic syndrome compared to visceral fat at L4–L5 level

G. Valsamakis Endocrine and Diabetes Unit, Evgenideion University Hospital, Athens Medical School, Ethnikon and Kapodistriakon University of Athens, Athens, Greece
,
A. Jones Department of Diabetes and Endocrinology, Clinical Biochemistry and Radiology, Heart of England NHS Trust, University of Birmingham, Birmingham, UK
,
R. Chetty Department of Diabetes and Endocrinology, Clinical Biochemistry and Radiology, Heart of England NHS Trust, University of Birmingham, Birmingham, UK
,
P. G. McTernan Department of Diabetes and Metabolism, Warwick University Hospitals, and Warwick Medical School, Coventry, UK
,
A. Boutsiadis Endocrine and Diabetes Unit, Evgenideion University Hospital, Athens Medical School, Ethnikon and Kapodistriakon University of Athens, Athens, Greece
,
A. H. Barnett Department of Diabetes and Endocrinology, Clinical Biochemistry and Radiology, Heart of England NHS Trust, University of Birmingham, Birmingham, UK
,
A. K. Banerjee Department of Diabetes and Endocrinology, Clinical Biochemistry and Radiology, Heart of England NHS Trust, University of Birmingham, Birmingham, UK
&
S. Kumar Department of Diabetes and Metabolism, Warwick University Hospitals, and Warwick Medical School, Coventry, UKCorrespondence[email protected]
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Pages 1853-1860 | Accepted 07 May 2008, Published online: 27 May 2008

Citations (8)

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Michel R Hoenig. (2010) MRI sagittal abdominal diameter is a stronger predictor of metabolic syndrome than visceral fat area or waist circumference in a high-risk vascular cohort. Vascular Health and Risk Management 6, pages 629-633.
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Articles from other publishers (7)

Hong LeiXiao ChenShuyun LiuZhenyan Chen. (2017) Effect of Electroacupuncture on Visceral and Hepatic Fat in Women with Abdominal Obesity: A Randomized Controlled Study Based on Magnetic Resonance Imaging. The Journal of Alternative and Complementary Medicine 23:4, pages 285-294.
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Dominique HansenStefaan PeetersBruno ZwaenepoelDirk VerleyenCarla WittebroodNicole TimmermanMichel Schotte. (2013) Exercise Assessment and Prescription in Patients With Type 2 Diabetes in the Private and Home Care Setting: Clinical Recommendations From AXXON (Belgian Physical Therapy Association). Physical Therapy 93:5, pages 597-610.
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C.‐E. Flodmark, W. Shen, M. Punyanitya, P. Leander, J. Lanke & A. Pietrobelli. (2012) Laser beam measurement of abdominal sagittal diameter in obese children: a validation study. Pediatric Obesity 8:2, pages 112-117.
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Yu-Cheng Lin, Jong-Dar Chen, Su-Huey Lo & Pau-Chung Chen. (2010) Worksite health screening programs for predicting the development of Metabolic Syndrome in middle-aged employees: a five-year follow-up study. BMC Public Health 10:1.
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Z. Guntsche, E.M. Guntsche, F.D. Saraví, L.M. Gonzalez, C. Lopez Avellaneda, E. Ayub, S. Coll, S. Astor & L. Cestino. (2010) Umbilical Waist-to-Height Ratio and Trunk Fat Mass Index (DXA) as Markers of Central Adiposity and Insulin Resistance in Argentinean Children with a Family History of Metabolic Syndrome. Journal of Pediatric Endocrinology and Metabolism 23:3.
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L. Frederiksen, T. L. Nielsen, K. Wraae, C. Hagen, J. Frystyk, A. Flyvbjerg, K. Brixen & M. Andersen. (2009) Subcutaneous Rather than Visceral Adipose Tissue Is Associated with Adiponectin Levels and Insulin Resistance in Young Men. The Journal of Clinical Endocrinology & Metabolism 94:10, pages 4010-4015.
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A.K. Banerjee. (2009) MRI quantification of obesity. Clinical Radiology 64:8, pages 845-847.
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