Table of Contents
Epidemiology Research International
Volume 2014 (2014), Article ID 718571, 9 pages
http://dx.doi.org/10.1155/2014/718571
Research Article

Optimal Waist Circumference Cut-Off Point for Multiple Risk Factor Aggregation: Results from the Maracaibo City Metabolic Syndrome Prevalence Study

1Endocrine and Metabolic Diseases Research Center, The University of Zulia, 20th Avenue, Maracaibo 4004, Venezuela
2Clinical Pharmacology Unit, José María Vargas School of Medicine, Central University of Venezuela, Caracas 1051, Venezuela
3Lipid and Atherosclerosis Unit, Department of Medicine, Carlos III Institute of Health, IMIBIC/Reina Sofia University Hospital/University of Córdoba and CIBER Obesity and Nutrition Physiopathology (CIBEROBN), 230002 Córdoba, Spain

Received 16 September 2014; Revised 21 November 2014; Accepted 24 November 2014; Published 9 December 2014

Academic Editor: Suminori Kono

Copyright © 2014 Valmore Bermúdez 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. C. Rask-Madsen and C. R. Kahn, “Tissue-specific insulin signaling, metabolic syndrome, and cardiovascular disease,” Arteriosclerosis, Thrombosis, and Vascular Biology, vol. 32, no. 9, pp. 2052–2059, 2012. View at Publisher · View at Google Scholar · View at Scopus
  2. A. Cuevas, V. Álvarez, and F. Carrasco, “Epidemic of metabolic syndrome in Latin America,” Current Opinion in Endocrinology, Diabetes and Obesity, vol. 18, pp. 134–138, 2011. View at Publisher · View at Google Scholar
  3. F. Márquez-Sandoval, G. MacEdo-Ojeda, D. Viramontes-Hörner, J. D. F. Ballart, J. S. Salvadó, and B. Vizmanos, “The prevalence of metabolic syndrome in Latin America: a systematic review,” Public Health Nutrition, vol. 14, no. 10, pp. 1702–1713, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. K. G. M. M. Alberti, R. H. Eckel, S. M. Grundy et al., “Harmonizing the metabolic syndrome: a joint interim statement of the international diabetes federation task force on epidemiology and prevention; National heart, lung, and blood institute; American heart association; World heart federation; International atherosclerosis society; And international association for the study of obesity,” Circulation, vol. 120, no. 16, pp. 1640–1645, 2009. View at Publisher · View at Google Scholar · View at Scopus
  5. K. G. M. M. Alberti, P. Zimmet, and J. Shaw, “The metabolic syndrome—a new worldwide definition,” The Lancet, vol. 366, no. 9491, pp. 1059–1062, 2005. View at Publisher · View at Google Scholar · View at Scopus
  6. A. A. Mansour, A. A. Al-Hassan, and M. I. Al-Jazairi, “Cut-off values for waist circumference in rural Iraqi adults for the diagnosis of metabolic syndrome,” Rural and Remote Health, vol. 7, no. 4, article 765, 2007. View at Google Scholar · View at Scopus
  7. A. Delavari, M. H. Forouzanfar, S. Alikhani, A. Sharifian, and R. Kelishadi, “First nationwide study of the prevalence of the metabolic syndrome and optimal cutoff points of waist circumference in the middle east: the national survey of risk factors for noncommunicable diseases of Iran,” Diabetes Care, vol. 32, no. 6, pp. 1092–1097, 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. A. A. Motala, T. Esterhuizen, F. J. Pirie, and M. A. K. Omar, “The prevalence of metabolic syndrome and determination of the optimal waist circumference cutoff points in a rural South African community,” Diabetes Care, vol. 34, no. 4, pp. 1032–1037, 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. V. Bermúdez, M. Pacheco, J. Rojas et al., “Epidemiologic behavior of obesity in the Maracaibo City metabolic syndrome prevalence study,” PLoS ONE, vol. 7, no. 4, Article ID e35392, 2012. View at Publisher · View at Google Scholar · View at Scopus
  10. V. Bermúdez, R. P. Marcano, C. Cano et al., “The maracaibo city metabolic syndrome prevalence study: design and scope,” The American Journal of Therapeutics, vol. 17, no. 3, pp. 288–294, 2010. View at Publisher · View at Google Scholar · View at Scopus
  11. Health Statistics, NHANES III Reference Manuals and Reports (CDROM), Centers for Disease Control and Prevention, Hyattsville, Md, USA, 1996, http://www.cdc.gov/nchs/data/nhanes/nhanes3/cdrom/NCHS/MANUALS/ANTHRO.PDF.
  12. World Health Organization, The World Health Report 2003, http://www.who.int/whr/2003/en/.
  13. V. Bermúdez, J. Rojas, M. S. Martínez et al., “Epidemiologic behavior and estimation of an optimal cut-off point for homeostasis model assessment-2 insulin resistance: a report from a Venezuelan population,” International Scholarly Research Notices, vol. 2014, Article ID 616271, 10 pages, 2014. View at Publisher · View at Google Scholar
  14. K. Hara, Y. Matsushita, M. Horikoshi et al., “A proposal for the cutoff point of waist circumference for the diagnosis of metabolic syndrome in the Japanese population,” Diabetes Care, vol. 29, no. 5, pp. 1123–1124, 2006. View at Publisher · View at Google Scholar · View at Scopus
  15. D. Böhning, W. Böhning, and H. Holling, “Revisiting Youden's index as a useful measure of the misclassification error in meta-analysis of diagnostic studies,” Statistical Methods in Medical Research, vol. 3, pp. 1–12, 2008. View at Google Scholar
  16. N. J. Perkins and E. F. Schisterman, “The inconsistency of “optimal” cutpoints obtained using two criteria based on the receiver operating characteristic curve,” The American Journal of Epidemiology, vol. 163, no. 7, pp. 670–675, 2006. View at Publisher · View at Google Scholar · View at Scopus
  17. V. Bewick, L. Cheek, and J. Ball, “Statistics review 13: receiver operating characteristics curves,” Critical Care, vol. 8, no. 6, pp. 508–512, 2004. View at Publisher · View at Google Scholar · View at Scopus
  18. V. J. Bermúdez, J. J. Rojas, E. B. Córdova et al., “International physical activity questionnaire overestimation is ameliorated by individual analysis of the scores,” The American Journal of Therapeutics, vol. 20, no. 4, pp. 448–458, 2013. View at Publisher · View at Google Scholar · View at Scopus
  19. V. J. Bermúdez, J. Rojas, R. Añez et al., “Prevalence, awareness, management of hypertension and association with metabolic abnormalities: the Maracaibo city metabolic syndrome prevalence study,” Revista Latinoamericana de Hipertension, vol. 7, no. 4, pp. 71–79, 2012. View at Google Scholar · View at Scopus
  20. V. Bermúdez, M. Cabrera, L. Mendoza et al., “High-sensitivity C-reactive protein epidemiological behavior in adult individuals from Maracaibo, Venezuela,” Revista Latinoamericana De Hipertension, vol. 8, no. 1, p. 52, 2013. View at Google Scholar
  21. J. Escobedo, H. Schargrodsky, B. Champagne et al., “Prevalence of the metabolic syndrome in Latin America and its association with sub-clinical carotid atherosclerosis: the CARMELA cross sectional study,” Cardiovascular Diabetology, vol. 8, article 52, 2009. View at Publisher · View at Google Scholar · View at Scopus
  22. C. A. Aguilar-Salinas, S. Canizales-Quinteros, R. Rojas-Martfnez et al., “Hypoalphalipoproteinemia in populations of Native American ancestry: an opportunity to assess the interaction of genes and the environment,” Current Opinion in Lipidology, vol. 20, no. 2, pp. 92–97, 2009. View at Publisher · View at Google Scholar · View at Scopus
  23. P. Aschner, R. Buendía, I. Brajkovich et al., “Determination of the cutoff point for waist circumference that establishes the presence of abdominal obesity in Latin American men and women,” Diabetes Research and Clinical Practice, vol. 93, no. 2, pp. 243–247, 2011. View at Publisher · View at Google Scholar · View at Scopus
  24. J. A. Gallo, J. E. Ochoa, J. K. Balparda et al., “Puntos de corte del perímetro de la cintura para identificar sujetos con resistencia a la insulina en una población colombiana,” Acta Médica Colombiana, vol. 38, pp. 118–126, 2013. View at Google Scholar
  25. I. R. Popa, O. C. González Sotolongo, and C. A. Arpa Gámez, “Estimated cutoff abdominal circumference of metabolic syndrome diagnosis criterion,” Revista Cubana de Medicina Militar, vol. 42, pp. 29–38, 2013. View at Google Scholar
  26. J. B. Calanche Morales, “Influencias culturales en el régimen alimentario del venezolano,” Anales Venezolanos de Nutrición, vol. 22, pp. 32–40, 2009. View at Google Scholar
  27. J. Rojas, M. Aguirre, M. Velasco, and V. Bermúdez, “Obesity genetics: a monopoly game of genes,” The American Journal of Therapeutics, vol. 20, no. 4, pp. 399–413, 2013. View at Publisher · View at Google Scholar · View at Scopus
  28. M. T. A. Olinto, L. C. Nacul, D. P. Gigante, J. S. D. Costa, A. M. B. Menezes, and S. Macedo, “Waist circumference as a determinant of hypertension and diabetes in Brazilian women: a population-based study,” Public Health Nutrition, vol. 7, no. 5, pp. 629–635, 2004. View at Publisher · View at Google Scholar · View at Scopus
  29. J. E. Hall, T. G. Coleman, H. L. Mizelle, and M. J. Smith Jr., “Chronic hyperinsulinemia and blood pressure regulation,” American Journal of Physiology: Renal Fluid and Electrolyte Physiology, vol. 258, no. 3, pp. F722–F731, 1990. View at Google Scholar · View at Scopus
  30. A. Siani, F. P. Cappuccio, G. Barba et al., “The relationship of waist circumference to blood pressure: the Olivetti Heart Study,” The American Journal of Hypertension, vol. 15, no. 9, pp. 780–786, 2002. View at Publisher · View at Google Scholar · View at Scopus
  31. V. Kotsis, S. Stabouli, S. Papakatsika, Z. Rizos, and G. Parati, “Mechanisms of obesity-induced hypertension,” Hypertension Research, vol. 33, no. 5, pp. 386–393, 2010. View at Publisher · View at Google Scholar · View at Scopus
  32. H. Wahrenberg, K. Hertel, B.-M. Leijonhufvud, L.-G. Persson, E. Toft, and P. Arner, “Use of waist circumference to predict insulin resistance: retrospective study,” British Medical Journal, vol. 330, no. 7504, pp. 1363–1364, 2005. View at Publisher · View at Google Scholar · View at Scopus
  33. A. Onat, G. Hergenç, S. Türkmen, M. Yazici, I. Sari, and G. Can, “Discordance between insulin resistance and metabolic syndrome: features and associated cardiovascular risk in adults with normal glucose regulation,” Metabolism: Clinical and Experimental, vol. 55, no. 4, pp. 445–452, 2006. View at Publisher · View at Google Scholar · View at Scopus
  34. T. N. Kim and K. M. Choi, “Sarcopenia: definition, epidemiology, and pathophysiology,” Journal of Bone Metabolism, vol. 20, pp. 1–10, 2013. View at Google Scholar
  35. R. Ostan, L. Bucci, E. Cevenini et al., “Metabolic syndrome in the offspring of centenarians: focus on prevalence, components, and adipokines,” Age, vol. 35, no. 5, pp. 1995–2007, 2013. View at Publisher · View at Google Scholar · View at Scopus
  36. J. Rojas, V. Bermúdez, R. Añez et al., “Comportamiento Epidemiológico del síndrome metabólico en el municipio Maracaibo-Venezuela,” Sindrome Cardiometabolico, vol. 3, pp. 31–42, 2013. View at Google Scholar
  37. A. Rodriguez, D. C. Muller, E. J. Metter et al., “Aging, androgens, and the metabolic syndrome in a longitudinal study of aging,” The Journal of Clinical Endocrinology and Metabolism, vol. 92, no. 9, pp. 3568–3572, 2007. View at Publisher · View at Google Scholar · View at Scopus
  38. G. Veronica and R. R. Esther, “Aging, metabolic syndrome and the heart,” Aging and Disease, vol. 3, no. 3, pp. 269–279, 2012. View at Google Scholar