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November 1, 1998American Journal of Epidemiology166 citationsOpen Access

Risk Factor Clustering in the Insulin Resistance Syndrome: The Strong Heart Study

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RGR S GrayRFR. R. FabsitzLCLinda D. Cowan

Structured PICO

P
Population
n=4,228 American Indian resident tribal members aged 45-74 years old from three centers (Arizona, Oklahoma, and North and South Dakota).
O
Outcome
Clustering of insulin resistance syndrome variables and their association with macrovascular disease (coronary heart disease and peripheral vascular disease)

Specific clusters of metabolic risk factors are differentially associated with coronary heart disease and peripheral vascular disease in diabetic versus nondiabetic American Indians.

Abstract

The objective of this study was to examine how the major components of the insulin resistance syndrome relate to each other and to macrovascular disease in American Indians in the Strong Heart Study. The study cohort (4,228 resident tribal members 45-74 years old) underwent a personal interview and a physical examination between July 1989 and January 1992 at three centers: Arizona, Oklahoma, and North and South Dakota; blood samples were drawn and a 75-g oral glucose tolerance test was performed. Factor analysis was used to assess the clustering and interdependence of groups of insulin resistance syndrome variables. Within both diabetic and nondiabetic groups, three factors emerged. In nondiabetic participants, a cluster of glucose, body mass index, and insulin accounted for 35% (male) and 32% (female) of the total variance in all variables considered, and a cluster of systolic blood pressure and diastolic blood pressure accounted for 25% and 22% in men and women, respectively. Both clusters were positively associated with coronary heart disease but not peripheral vascular disease. In diabetic participants, the combination of systolic and diastolic blood pressures was the most important factor, but the cluster was not associated with coronary heart disease or peripheral vascular disease. A component containing high density lipoprotein cholesterol, triglycerides, and glucose had a positive association with coronary heart disease in diabetic women and with peripheral vascular disease in both sexes. The association of clusters of risk factors and their relations with coronary heart disease provide important clues that may be used in understanding the metabolic disorders associated with insulin resistance and diabetes.

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Cite This Study

Gray et al. (1998) studied this question.

synapsesocial.com/papers/6a221079f833e2d5e857fa41https://doi.org/10.1093/oxfordjournals.aje.a009712
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Prevalence and correlates of the insulin resistance syndrome among Native Americans. The Inter-Tribal Heart Project.1999 · 47 citations
  2. 2Insulin Resistance Syndrome Predicts Coronary Heart Disease Events in Elderly Type 2 Diabetic Men2001 · 109 citations
  3. 3Insulin Resistance Syndrome Predicts the Risk of Coronary Heart Disease and Stroke in Healthy Middle-Aged Men2000 · 350 citations
  4. 4Insulin Resistance Syndrome Predicts Coronary Heart Disease Events in Elderly Nondiabetic Men1999 · 297 citations
  5. 5Different association of hypertension and insulin-related metabolic syndrome between men and women in 8437 nondiabetic Chinese2000 · 69 citations