Literature DB >> 15925012

The metabolic syndrome: a concept hard to define.

Carlos A Aguilar-Salinas1, Rosalba Rojas, Francisco J Gómez-Pérez, Roopa Mehta, Aurora Franco, Gustavo Olaiz, Juan A Rull.   

Abstract

The metabolic syndrome integrates, in a single diagnosis, the manifestations of insulin resistance that may lead to increased cardiovascular morbidity and precedes type 2 diabetes. Here we discuss the strengths and limitations of the definitions of the metabolic syndrome and the epidemiology of the syndrome including information from non-Caucasian populations. The definitions proposed by the World Health Organization (WHO) and the National Cholesterol Education Program (NCEP) are the most frequently used. The relative risk of having long-term complications is greater for the WHO definition; this is explained by the inclusion of the insulin resistance criteria. The cut-off points used in these definitions should be, but are not, adjusted for ethnicity; as a result, in non-Caucasian subjects, there is lack of agreement among these criteria. In a Mexican population-based survey the prevalence was 13.61% using the WHO definition and 26.6% using the NCEP-III criteria. Cases identified by the WHO criteria had a more severe form of the disease. We propose that the metabolic syndrome should be viewed as a progressive long-term process that leads to major complications. Its definition should reflect the continuous nature of the disease; the categorical approach of the current criteria oversimplifies the complexity of the syndrome. The threshold for defining abnormality should be based on the associated risk of the identified phenotype. Refinement of the definition of both affected and nonaffected subjects is required. The available definitions include, in each of these categories, heterogeneous groups with a broad range of risk of future complications.

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Year:  2005        PMID: 15925012     DOI: 10.1016/j.arcmed.2004.12.003

Source DB:  PubMed          Journal:  Arch Med Res        ISSN: 0188-4409            Impact factor:   2.235


  25 in total

1.  Apolipoprotein epsilon 4 allele modifies waist-to-hip ratio effects on cognition and brain structure.

Authors:  David Zade; Alexa Beiser; Regina McGlinchey; Rhoda Au; Sudha Seshadri; Carole Palumbo; Philip A Wolf; Charles DeCarli; William Milberg
Journal:  J Stroke Cerebrovasc Dis       Date:  2011-08-10       Impact factor: 2.136

2.  Integrating genomic analysis with the genetic basis of gene expression: preliminary evidence of the identification of causal genes for cardiovascular and metabolic traits related to nutrition in Mexicans.

Authors:  Raúl A Bastarrachea; Esther C Gallegos-Cabriales; Edna J Nava-González; Karin Haack; V Saroja Voruganti; Jac Charlesworth; Hugo A Laviada-Molina; Rosa A Veloz-Garza; Velia Margarita Cardenas-Villarreal; Salvador B Valdovinos-Chavez; Patricia Gomez-Aguilar; Guillermo Meléndez; Juan Carlos López-Alvarenga; Harald H H Göring; Shelley A Cole; John Blangero; Anthony G Comuzzie; Jack W Kent
Journal:  Adv Nutr       Date:  2012-07-01       Impact factor: 8.701

3.  Abdominal obesity, glucose intolerance and decreased high-density lipoprotein cholesterol as components of the metabolic syndrome are associated with the development of colorectal cancer.

Authors:  Yoon Jin Choi; Dong Ho Lee; Kyung-Do Han; Cheol Min Shin; Nayoung Kim
Journal:  Eur J Epidemiol       Date:  2018-09-08       Impact factor: 8.082

4.  Metabolic syndrome and risk of endometrial cancer in the united states: a study in the SEER-medicare linked database.

Authors:  Britton Trabert; Nicolas Wentzensen; Ashley S Felix; Hannah P Yang; Mark E Sherman; Louise A Brinton
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-01       Impact factor: 4.254

5.  Evaluation of metabolic syndrome in patients with chronic low back pain.

Authors:  Mehmet Tuncay Duruöz; Yasemin Turan; Alev Gürgan; Hülya Deveci
Journal:  Rheumatol Int       Date:  2010-12-05       Impact factor: 2.631

6.  High prevalence of the metabolic syndrome in patients with systemic lupus erythematosus: association with disease characteristics and cardiovascular risk factors.

Authors:  Cecilia P Chung; Ingrid Avalos; Annette Oeser; Tebeb Gebretsadik; Ayumi Shintani; Paolo Raggi; C Michael Stein
Journal:  Ann Rheum Dis       Date:  2006-08-10       Impact factor: 19.103

Review 7.  Effects of lifestyle interventions on inflammatory markers in the metabolic syndrome.

Authors:  Kristen M Beavers; Barbara J Nicklas
Journal:  Front Biosci (Schol Ed)       Date:  2011-01-01

8.  Physical activity and risk of metabolic syndrome in an urban Mexican cohort.

Authors:  Pablo Méndez-Hernández; Yvonne Flores; Carole Siani; Michel Lamure; L Darina Dosamantes-Carrasco; Elizabeth Halley-Castillo; Gerardo Huitrón; Juan O Talavera; Katia Gallegos-Carrillo; Jorge Salmerón
Journal:  BMC Public Health       Date:  2009-07-31       Impact factor: 3.295

9.  Cohort Profile: The Metabolic syndrome and Cancer project (Me-Can).

Authors:  Tanja Stocks; Wegene Borena; Susanne Strohmaier; Tone Bjørge; Jonas Manjer; Anders Engeland; Dorthe Johansen; Randi Selmer; Göran Hallmans; Kilian Rapp; Hans Concin; Håkan Jonsson; Hanno Ulmer; Pär Stattin
Journal:  Int J Epidemiol       Date:  2009-04-20       Impact factor: 7.196

10.  Risk factors of non-communicable diseases and metabolic syndrome.

Authors:  N Esmailnasab; G Moradi; A Delaveri
Journal:  Iran J Public Health       Date:  2012-07-31       Impact factor: 1.429

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