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Journal of Obesity
Volume 2013 (2013), Article ID 269038, 9 pages
http://dx.doi.org/10.1155/2013/269038
Clinical Study

Obesity Index That Better Predict Metabolic Syndrome: Body Mass Index, Waist Circumference, Waist Hip Ratio, or Waist Height Ratio

1Department of Medical Statistics & Epidemiology, Hamad Medical Corporation, P.O. Box 3050, Doha, Qatar
2Department of Public Health, Weill Cornell Medical College, P.O. Box 3050, Doha, Qatar
3Department Evidence for Population Health Unit, School of Epidemiology and Health Sciences, The University of Manchester, Manchester, UK
4Department of Endocrinology, Hamad General Hospital, Hamad Medical Corporation, P.O. Box 3050, Doha, Qatar
5Qatar Diabetic Association and Qatar Foundation, P.O. Box 752, Doha, Qatar
6Qatar Foundation Research Division, P.O. Box 5825, Doha, Qatar
7Division of Diabetes, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA

Received 15 March 2013; Revised 16 July 2013; Accepted 16 July 2013

Academic Editor: Jordi Salas-Salvadó

Copyright © 2013 Abdulbari Bener et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Aim. The aim was to compare body mass index (BMI), waist circumference (WC), waist hip ratio (WHR), and waist height ratio (WHtR) to identify the best predictor of metabolic syndrome (MetS) among Qatari adult population. Methods. A cross-sectional survey from April 2011 to December 2012. Data was collected from 1552 participants followed by blood sampling. MetS was defined according to Third Adult Treatment Panel (ATPIII) and International Diabetes Federation (IDF). Receiver operating characteristics (ROC) curve analysis was performed. Results. Among men, WC followed by WHR and WHtR yielded the highest area under the curve (AUC) (0.78; 95% CI 0.74–0.82 and 0.75; 95% CI 0.71–0.79, resp.). Among women, WC followed by WHtR yielded the highest AUC (0.81; 95% CI 0.78–0.85 & 0.79; 95% CI 0.76–0.83, resp.). Among men, WC at a cut-off 99.5 cm resulted in the highest Youden index with sensitivity 81.6% and 63.9% specificity. Among women, WC at a cut-off 91 cm resulted in the highest Youden index with the corresponding sensitivity and specificity of 86.5% and 64.7%, respectively. BMI had the lowest sensitivity and specificity in both genders. Conclusion. WC at cut-off 99.5 cm in men and 91 cm in women was the best predictor of MetS in Qatar.