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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.

Linked References

  1. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III), “Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report,” Circulation, vol. 106, pp. 3143–3421, 2002.
  2. A. Bener, A.-G. Mohammad, A. N. Ismail, M. Zirie, W. K. Abdullatef, and A. O. A. A. Al-Hamaq, “Gender and age-related differences in patients with the metabolic syndrome in a highly endogamous population,” Bosnian Journal of Basic Medical Sciences, vol. 10, no. 3, pp. 210–217, 2010. View at Scopus
  3. C. L. Scott, “Diagnosis, prevention and intervention for the metabolic syndrome,” American Journal of Cardiology, vol. 92, pp. 35i–42i, 2003.
  4. D. E. Moller and K. D. Kaufman, “Metabolic syndrome: a clinical and molecular perspective,” Annual Review of Medicine, vol. 56, pp. 45–62, 2005. View at Publisher · View at Google Scholar · View at Scopus
  5. Y.-W. Park, S. Zhu, L. Palaniappan, S. Heshka, M. R. Carnethon, and S. B. Heymsfield, “The metabolic syndrome: prevalence and associated risk factor findings in the US population from the Third National Health and Nutrition Examination Survey, 1988–1994,” Archives of Internal Medicine, vol. 163, no. 4, pp. 427–436, 2003. View at Publisher · View at Google Scholar · View at Scopus
  6. M. A. Beydoun, M. T. Fanelli Kuczmarski, Y. Wang, M. A. Mason, M. K. Evans, and A. B. Zonderman, “Receiver-operating characteristics of adiposity for metabolic syndrome: the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study,” Public Health Nutrition, vol. 14, no. 1, pp. 77–92, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. M. Takahashi, K. Shimomura, P. Proks et al., “A proposal of combined evaluation of waist circumference and BMI for the diagnosis of metabolic syndrome,” Endocrine Journal, vol. 56, no. 9, pp. 1079–1082, 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. J. A. Al-Lawati and P. Jousilahti, “Body mass index, waist circumference and waist-to-hip ratio cut-off points for categorisation of obesity among Omani Arabs,” Public Health Nutrition, vol. 11, no. 1, pp. 102–108, 2008. View at Publisher · View at Google Scholar · View at Scopus
  9. S.-H. Park, S.-J. Choi, K.-S. Lee, and H.-Y. Park, “Waist circumference and waist-to-height ratio as predictors of cardiovascular disease risk in Korean adults,” Circulation Journal, vol. 73, no. 9, pp. 1643–1650, 2009. View at Publisher · View at Google Scholar · View at Scopus
  10. K. P. Ko, D. K. Oh, H. Min, et al., “Prospective study of optimal obesity index cutoffs for predicting development of multiple metabolic risk factors: the korean genome and epidemiology Study,” Journal of Epidemiology, vol. 22, pp. 433–439, 2012.
  11. M. Gharipour, N. Sarrafzadegan, M. Sadeghi, et al., “Predictors of metabolic syndrome in the iranian population: waist circumference, body mass index, or waist to hip ratio?” Cholestrol, vol. 2013, Article ID 198384, 6 pages, 2013. View at Publisher · View at Google Scholar
  12. K. G. M. M. Alberti and P. Zimmet, “Metabolic syndrome—a new world-wide definition. A consensus statement from the International Diabetes Federation,” Diabetic Medicine, vol. 23, no. 5, pp. 469–480, 2006. View at Publisher · View at Google Scholar · View at Scopus
  13. WHO, Obesity: Preventing and Managing the Global Epidemic. Report of a WHO Consultation on Obesity, WHO, Geneva, Switzerland, 1997.
  14. Y. Liu, G. Tong, W. Tong, L. Lu, and X. Qin, “Can body mass index, waist circumference, waist-hip ratio and waist-height ratio predict the presence of multiple metabolic risk factors in Chinese subjects?” BMC Public Health, vol. 11, article 35, 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. T. S. Han, K. Williams, N. Sattar, K. J. Hunt, M. E. J. Lean, and S. M. Haffner, “Analysis of obesity and hyperinsulinemia in the development of metabolic syndrome: san Antonio Heart Study,” Obesity Research, vol. 10, no. 9, pp. 923–931, 2002. View at Scopus
  16. H. J. Schneider, J. Klotsche, G. K. Stalla, and H.-U. Wittchen, “Obesity and risk of myocardial infarction: the INTERHEART Study,” The Lancet, vol. 367, no. 9516, p. 1052, 2006. View at Publisher · View at Google Scholar · View at Scopus
  17. A. Romero-Corral, V. M. Montori, V. K. Somers et al., “Association of bodyweight with total mortality and with cardiovascular events in coronary artery disease: a systematic review of cohort studies,” The Lancet, vol. 368, no. 9536, pp. 666–678, 2006. View at Publisher · View at Google Scholar · View at Scopus
  18. D. C. Frankenfield, W. A. Rowe, R. N. Cooney, J. S. Smith, and D. Becker, “Limits of body mass index to detect obesity and predict body composition,” Nutrition, vol. 17, no. 1, pp. 26–30, 2001. View at Publisher · View at Google Scholar · View at Scopus
  19. S. M. Grundy, I. J. Neeland, A. T. Turer, and G. L. Vega, “Waist circumference as measure of abdominal fat compartments,” Journal of Obesity, vol. 2013, Article ID 454285, 9 pages, 2013. View at Publisher · View at Google Scholar
  20. S. Zhu, S. B. Heymsfield, H. Toyoshima, Z. Wang, A. Pietrobelli, and S. Heshka, “Race-ethnicity-specific waist circumference cutoffs for identifying cardiovascular disease risk factors,” American Journal of Clinical Nutrition, vol. 81, no. 2, pp. 409–415, 2005. View at Scopus
  21. G. N. Thomas, S.-Y. Ho, K. S. L. Lam, E. D. Janus, A. J. Hedley, and H. L. Tai, “Impact of obesity and body fat distribution on cardiovascular risk factors in Hong Kong Chinese,” Obesity Research, vol. 12, no. 11, pp. 1805–1813, 2004. View at Scopus
  22. S. M. Grundy, J. I. Cleeman, S. R. Daniels et al., “Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement,” Circulation, vol. 112, no. 17, pp. 2735–2752, 2005. View at Publisher · View at Google Scholar · View at Scopus
  23. S. D. Hsieh and H. Yoshinaga, “Do people with similar waist circumference share similar health risks irrespective of height?” Tohoku Journal of Experimental Medicine, vol. 188, no. 1, pp. 55–60, 1999. View at Scopus
  24. M. Ashwell and S. Gibson, “Waist to height ratio is a simple and effective obesity screening tool for cardiovascular risk factors: analysis of data from the british national diet and nutrition survey of adults aged 19–64 years,” Obesity Facts, vol. 2, no. 2, pp. 97–103, 2009. View at Publisher · View at Google Scholar · View at Scopus
  25. S. D. Hsieh, M. Ashwell, T. Muto, H. Tsuji, Y. Arase, and T. Murase, “Urgency of reassessment of role of obesity indices for metabolic risks,” Metabolism, vol. 59, no. 6, pp. 834–840, 2010. View at Publisher · View at Google Scholar · View at Scopus
  26. K. Nakamura, H. Nanri, M. Hara et al., “Optimal cutoff values of waist circumference and the discriminatory performance of other anthropometric indices to detect the clustering of cardiovascular risk factors for metabolic syndrome in Japanese men and women,” Environmental Health and Preventive Medicine, vol. 16, no. 1, pp. 52–60, 2011. View at Publisher · View at Google Scholar · View at Scopus
  27. T. S. Han, G. McNeill, J. C. Seidell, and M. E. J. Lean, “Predicting intra-abdominal fatness from anthropometric measures: the influence of stature,” International Journal of Obesity, vol. 21, no. 7, pp. 587–593, 1997. View at Scopus
  28. A. A. Mansour, A. A. Al-Hassan, and M. I. Al-Jazairi, “Toward establishing normal waist circumference in Eastern Mediterranean and Middle East (Arab) populations. Cutoff values for waist circumference in Iraqi adults,” International Journal of Diabetes and Metabolism, vol. 15, no. 1, pp. 14–16, 2007. View at Scopus