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Development of the multiple metabolic syndrome in the ARIC cohort: joint contribution of insulin, BMI, and WHR. Atherosclerosis risk in communities.

TitleDevelopment of the multiple metabolic syndrome in the ARIC cohort: joint contribution of insulin, BMI, and WHR. Atherosclerosis risk in communities.
Publication TypeJournal Article
Year of Publication1997
AuthorsLiese AD, Mayer-Davis EJ, Tyroler HA, Davis CE, Keil U, Duncan BB, Heiss G
JournalAnn Epidemiol
Volume7
Issue6
Pagination407-16
Date Published1997 Aug
ISSN1047-2797
KeywordsAfrican Continental Ancestry Group, Analysis of Variance, Anthropometry, Body Mass Index, Cardiovascular Diseases, Cohort Studies, Diabetes Mellitus, Type 2, European Continental Ancestry Group, Female, Humans, Hyperlipidemias, Hypertension, Insulin, Logistic Models, Male, Metabolic Diseases, Middle Aged, Obesity, Predictive Value of Tests, Syndrome, United States
Abstract

PURPOSE: The natural history of the multiple metabolic syndrome (MMS) and its predictors has rarely been addressed in population samples. This study evaluated the predictive role of fasting serum insulin, body mass index (BMI), and waist-to-hip ratio (WHR) on the development of incident MMS components (diabetes, hypertension, and dyslipidemias) over the course of three years.

METHODS: The study population comprised the cohort of middle-aged African American and European American men and women of the Atherosclerosis Risk in Communities Study (1987-1992).

RESULTS: Among 6113 individuals free of MMS components at baseline, high insulin (> 14 microU/ ml) was independently predictive of the development of one or more MMS components (OR:1.5, 95% CI:1.2-1.8), as was a BMI > or = 30 (OR:1.7, 95% CI:1.4-2.0), and a high WHR (> 0.98) (OR:1.5, 95% CI:1.3-1.8) adjusting statistically for age, gender, and ethnicity/center. These associations were markedly stronger for combinations of MMS components (two or more) than for isolated components.

CONCLUSIONS: The findings confirm earlier reports on the predictive role of insulin, BMI, and WHR, and suggest that these antecedent factors may be integral to the development of combinations of disorders, i.e., the particular clustering identified as the MMS.

DOI10.1016/s1047-2797(97)00047-1
Alternate JournalAnn Epidemiol
PubMed ID9279450
Grant ListN01-HC-55015 / HC / NHLBI NIH HHS / United States
N01-HC-55016 / HC / NHLBI NIH HHS / United States
N01-HC-55018 / HC / NHLBI NIH HHS / United States