Literature DB >> 17485573

Defining the metabolic syndrome construct: Multi-Ethnic Study of Atherosclerosis (MESA) cross-sectional analysis.

Dhananjay Vaidya1, Moyses Szklo, Kiang Liu, Pamela J Schreiner, Alain G Bertoni, Pamela Ouyang.   

Abstract

OBJECTIVE: It is controversial whether the clustering of certain metabolic abnormalities should be separately designated as the metabolic syndrome. We operationalized the "syndrome" concept and tested whether the metabolic syndrome was compatible with these operational constructs. RESEARCH DESIGN AND METHODS: The baseline cross-section of the Multi-Ethnic Study of Atherosclerosis recruited a population-based cohort of 6,781 individuals, aged 45-84 years, from six communities in the U.S. Metabolic syndrome components (waist circumference, blood pressure, fasting serum HDL cholesterol, triglycerides, and plasma glucose), homeostasis model assessment (HOMA) of insulin resistance (fasting glucose x insulin), and intimal-medial thickness (IMT) in the common and internal carotid arteries by B-mode ultrasound were measured.
RESULTS: Higher syndrome component count is associated with higher HOMA levels (trend P < 0.001). Given the prevalence of individual components, the nonprevalence of any component or the co-prevalence of four or five components is greater than expected (chi2 P < 0.001). After accounting for the additive association of each component, the current definition of metabolic syndrome (co-prevalence of three or more components) does not have supra-additive association with thicker IMT in the common carotid (men: P = 0.075, women: P = 0.949) or internal carotid artery (men: P = 0.106, women: P = 0.121).
CONCLUSIONS: The metabolic syndrome did not have supra-additive association with IMT, but its components clustered greater than chance expectation and a higher component count was associated with greater insulin resistance. The metabolic syndrome was compatible with two of three "syndrome" constructs tested.

Entities:  

Mesh:

Year:  2007        PMID: 17485573     DOI: 10.2337/dc07-0147

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


  8 in total

1.  Should we dump the metabolic syndrome? No.

Authors:  K G M M Alberti; P Z Zimmet
Journal:  BMJ       Date:  2008-03-22

2.  Effect of recreational physical activity on insulin levels in Mexican/Hispanic children.

Authors:  Maciste H Macias-Cervantes; Juan M Malacara; Ma Eugenia Garay-Sevilla; Francisco J Díaz-Cisneros
Journal:  Eur J Pediatr       Date:  2009-01-14       Impact factor: 3.183

3.  Metabolic syndrome, diabetes, and incidence and progression of coronary calcium: the Multiethnic Study of Atherosclerosis study.

Authors:  Nathan D Wong; Jennifer C Nelson; Tanya Granston; Alain G Bertoni; Roger S Blumenthal; J Jeffrey Carr; Alan Guerci; David R Jacobs; Richard Kronmal; Kiang Liu; Mohammed Saad; Elizabeth Selvin; Russell Tracy; Robert Detrano
Journal:  JACC Cardiovasc Imaging       Date:  2012-04

Review 4.  Update on the metabolic syndrome: hypertension.

Authors:  Kristi Reynolds; Rachel P Wildman
Journal:  Curr Hypertens Rep       Date:  2009-04       Impact factor: 5.369

5.  Understanding diabetes in patients with HIV/AIDS.

Authors:  Sanjay Kalra; Bharti Kalra; Navneet Agrawal; Ag Unnikrishnan
Journal:  Diabetol Metab Syndr       Date:  2011-01-14       Impact factor: 3.320

6.  A bivariate genome-wide approach to metabolic syndrome: STAMPEED consortium.

Authors:  Aldi T Kraja; Dhananjay Vaidya; James S Pankow; Mark O Goodarzi; Themistocles L Assimes; Iftikhar J Kullo; Ulla Sovio; Rasika A Mathias; Yan V Sun; Nora Franceschini; Devin Absher; Guo Li; Qunyuan Zhang; Mary F Feitosa; Nicole L Glazer; Talin Haritunians; Anna-Liisa Hartikainen; Joshua W Knowles; Kari E North; Carlos Iribarren; Brian Kral; Lisa Yanek; Paul F O'Reilly; Mark I McCarthy; Cashell Jaquish; David J Couper; Aravinda Chakravarti; Bruce M Psaty; Lewis C Becker; Michael A Province; Eric Boerwinkle; Thomas Quertermous; Leena Palotie; Marjo-Riitta Jarvelin; Diane M Becker; Sharon L R Kardia; Jerome I Rotter; Yii-Der Ida Chen; Ingrid B Borecki
Journal:  Diabetes       Date:  2011-03-08       Impact factor: 9.461

7.  High-molecular weight adiponectin/HOMA-IR ratio as a biomarker of metabolic syndrome in urban multiethnic Brazilian subjects.

Authors:  Virgínia Genelhu de Abreu; Cyro José de Moraes Martins; Patricia Aguiar Cardoso de Oliveira; Emilio Antonio Francischetti
Journal:  PLoS One       Date:  2017-07-26       Impact factor: 3.240

8.  The impact of age & ethnicity in coronary artery disease risk assessment using Framingham Risk Scores & metabolic syndrome.

Authors:  Dimitrios M Konstantinou
Journal:  Indian J Med Res       Date:  2013-02       Impact factor: 2.375

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.