Literature DB >> 25818844

Do all components of the metabolic syndrome cluster together in U.S. Hispanics/Latinos? Results from the Hispanic Community Health study/Study of Latinos.

Maria M Llabre1, William Arguelles2, Neil Schneiderman2, Linda C Gallo3, Martha L Daviglus4, Earle C Chambers5, Daniela Sotres-Alvarez6, Diana A Chirinos2, Gregory A Talavera7, Sheila F Castaneda8, Scott C Roesch3, Gerardo Heiss9.   

Abstract

PURPOSE: Metabolic syndrome (MetS), the clustering of several risk factors for cardiovascular disease, is highly prevalent in Hispanics/Latinos. We tested whether all components significantly loaded on the syndrome in Hispanics/Latinos and whether their contribution differed by sex and Hispanic ancestry. We also examined associations of MetS with prevalent diabetes and coronary heart disease in Hispanics/Latinos.
METHODS: Data were obtained from a population-based cohort of n = 15,823 participants in the HCHS/SOL study who self-identified as being of Central American, Cuban, Dominican, Mexican American, Puerto Rican, or South American ancestry and were aged 18 to 74 years at screening.
RESULTS: A latent variable model of waist circumference, systolic and diastolic blood pressure, triglycerides, high-density lipoprotein cholesterol (HDL-C), and fasting glucose fit the data in men and women, but the contribution of HDL-C was weak. No difference in the latent model of MetS was detected across Hispanic/Latino ancestry groups. MetS was significantly associated with diabetes and coronary heart disease.
CONCLUSIONS: Our results indicate that similar criteria for MetS may be applied across Hispanic/Latino ancestry groups but call into question the role of HDL-C in classifying the MetS in Hispanics/Latinos.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Hispanics; Lipids; Metabolic syndrome

Mesh:

Substances:

Year:  2015        PMID: 25818844      PMCID: PMC4457574          DOI: 10.1016/j.annepidem.2015.02.010

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


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