Literature DB >> 16505527

Geographic variations of the International Diabetes Federation and the National Cholesterol Education Program-Adult Treatment Panel III definitions of the metabolic syndrome in nondiabetic subjects.

Carlos Lorenzo1, Manuel Serrano-Ríos, María T Martínez-Larrad, José L González-Sánchez, Segundo Seclén, Arturo Villena, Clicerio Gonzalez-Villalpando, Ken Williams, Steven M Haffner.   

Abstract

OBJECTIVE: We have carried out international comparisons of the metabolic syndrome using the International Diabetes Federation (IDF) and National Cholesterol Education Program-Adult Treatment Panel III (ATP III) definitions. This analysis could help to discern the applicability of these definitions across populations. RESEARCH DESIGN AND METHODS: Nondiabetic subjects aged 35-64 years were eligible for analysis in population-based studies from San Antonio (Mexican Americans and non-Hispanic whites, n = 2,473), Mexico City (n = 1,990), Spain (n = 2,540), and Peru (n = 346). Kappa statistics examined the agreement between metabolic syndrome definitions.
RESULTS: Because of the lower cutoff points for elevated waist circumference, the IDF definition of the metabolic syndrome generated greater prevalence estimates than the ATP III definition. Prevalence difference between definitions was more significant in Mexican-origin and Peruvian men than in Europid men from San Antonio and Spain because the IDF definition required ethnic group-specific cutoff points for elevated waist circumference. ATP III and IDF definitions disagreed in the classification of 13-29% of men and 3-7% of women. In men, agreement between these definitions was 0.54 in Peru, 0.43 in Mexico City, 0.62 in San Antonio Mexican Americans, 0.69 in San Antonio non-Hispanic whites, and 0.64 in Spain. In women, agreement between definitions was 0.87, 0.89, 0.86, 0.87, and 0.93, respectively.
CONCLUSIONS: The IDF definition of the metabolic syndrome generates greater prevalence estimates than the ATP III definition. Agreement between ATP III and IDF definitions was lower for men than for women in all populations and was relatively poor in men from Mexico City.

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Mesh:

Year:  2006        PMID: 16505527     DOI: 10.2337/diacare.29.03.06.dc05-1796

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  15 in total

Review 1.  The metabolic syndrome.

Authors:  Marc-Andre Cornier; Dana Dabelea; Teri L Hernandez; Rachel C Lindstrom; Amy J Steig; Nicole R Stob; Rachael E Van Pelt; Hong Wang; Robert H Eckel
Journal:  Endocr Rev       Date:  2008-10-29       Impact factor: 19.871

2.  Metabolic syndrome as an underlying disease entity and its relationship to subclinical atherosclerosis in Andean Hispanics.

Authors:  Diana A Chirinos; Josefina Medina-Lezama; William Arguelles; Ronald Goldberg; Neil Schneiderman; Zubair Khan; Oscar O Morey; Muhammad Waheed Raja; Roberto Paz; Julio A Chirinos; Maria M Llabre
Journal:  Metab Syndr Relat Disord       Date:  2013-11-08       Impact factor: 1.894

3.  Prevalence of metabolic syndrome and its relationship with leisure time physical activity among Peruvian adults.

Authors:  B Gelaye; L Revilla; T Lopez; S Sanchez; M A Williams
Journal:  Eur J Clin Invest       Date:  2009-06-26       Impact factor: 4.686

4.  Variations in prevalent cardiovascular disease and future risk by metabolic syndrome classification in the REasons for Geographic and Racial Differences in Stroke (REGARDS) study.

Authors:  Todd M Brown; Jenifer H Voeks; Vera Bittner; Monika M Safford
Journal:  Am Heart J       Date:  2010-03       Impact factor: 4.749

5.  Longitudinal paths to the metabolic syndrome: can the incidence of the metabolic syndrome be predicted? The Baltimore Longitudinal Study of Aging.

Authors:  Angelo Scuteri; Christopher H Morrell; Samer S Najjar; Denis Muller; Reubin Andres; Luigi Ferrucci; Edward G Lakatta
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-03-06       Impact factor: 6.053

6.  Does prevalence of the metabolic syndrome in women with coronary artery disease differ by the ATP III and IDF criteria?

Authors:  Todd M Brown; Dhananjay Vaidya; William J Rogers; David D Waters; Barbara V Howard; Jean-Claude Tardif; Vera Bittner
Journal:  J Womens Health (Larchmt)       Date:  2008-06       Impact factor: 2.681

7.  Individual and area-based indicators of acculturation and the metabolic syndrome among low-income Mexican American women living in a border region.

Authors:  Karla Espinosa de Los Monteros; Linda C Gallo; John P Elder; Gregory A Talavera
Journal:  Am J Public Health       Date:  2008-09-17       Impact factor: 9.308

Review 8.  Sympathetic Nervous System, Hypertension, Obesity and Metabolic Syndrome.

Authors:  Gino Seravalle; Guido Grassi
Journal:  High Blood Press Cardiovasc Prev       Date:  2016-03-04

9.  An examination of the prevalence of IDF- and ATPIII-defined metabolic syndrome in an Irish screening population.

Authors:  D F Waterhouse; A M McLaughlin; F Sheehan; D O'Shea
Journal:  Ir J Med Sci       Date:  2009-01-08       Impact factor: 1.568

10.  Prevalence of the metabolic syndrome in Latin America and its association with sub-clinical carotid atherosclerosis: the CARMELA cross sectional study.

Authors:  Jorge Escobedo; Herman Schargrodsky; Beatriz Champagne; Honorio Silva; Carlos P Boissonnet; Raul Vinueza; Marta Torres; Rafael Hernandez; Elinor Wilson
Journal:  Cardiovasc Diabetol       Date:  2009-09-26       Impact factor: 9.951

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