A metabolic syndrome in whites and African-Americans: The Atherosclerosis Risk in Communities baseline study

Maria Inês Schmidt, Bruce B. Duncan, Robert L. Watson, A. Richey Sharrett, Frederick L. Brancati, Gerardo Heiss

Research output: Contribution to journalArticlepeer-review

117 Scopus citations

Abstract

OBJECTIVE - To describe clustering of hypertriglyceridemia, low HDL cholesterol, hypertension, diabetes, and hyperuricemia and its association with fasting insulin, waist-to-hip ratio (WHR), and BMI for African-American and white men and women. RESEARCH DESIGN AND METHODS - Observed frequencies of clusters were compared with those expected in 14,481 participants, 45-64 years of age, of the Atherosclerosis Risk in Communities (ARIC) baseline survey, 1987- 1989. Associations of clusters with insulin, central adiposity, and overall obesity, as well as with individual abnormalities, were analyzed through multiple logistic regression. RESULTS - Clustering beyond chance was observed in all four sex/ethnic groups (P < 0.001), with 7% of the sample presenting 30% of the abnormalities in large clusters (≥3 abnormalities per individual). The odds ratio (OR) for the association of each abnormality with clustering of the remaining four ranged from 1.6 to 8.8 (P < 0.01). These odds of clustering were notably large in white women. Of the abnormalities, hypertriglyceridemia demonstrated the highest OR (5.0-8.8) and diabetes had a lower OR in African- American subjects than in white subjects (P < 0.001). Insulin, WHR, and BMI were statistically associated with clustering in all groups (P < 0.001, except for BMI in African-Americans). CONCLUSIONS - Clustering of abnormalities consistent with the concept of a metabolic syndrome is present in both white and African- American subjects.

Original languageEnglish (US)
Pages (from-to)414-418
Number of pages5
JournalDiabetes care
Volume19
Issue number5
DOIs
StatePublished - May 1996
Externally publishedYes

ASJC Scopus subject areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism
  • Advanced and Specialized Nursing

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