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American Journal of Epidemiology Vol. 154, No. 8 : 765-776
Copyright © 2001 by The Johns Hopkins University School of Hygiene and Public Health


ORIGINAL CONTRIBUTIONS

Modeling Preclinical Cardiovascular Risk for Use in Epidemiologic Studies: Miami Community Health Study

Rita Z. Goldstein1,2, Barry E. Hurwitz1,2, Maria M. Llabre1,2, Neil Schneiderman1,2, Miriam Gutt1,2, Jay S. Skyler1,3, Ronald J. Prineas4 and Richard P. Donahue4

1 Behavioral Medicine Research Center, University of Miami, Miami, FL.
2 Department of Psychology, University of Miami, Coral Gables, FL.
3 Department of Medicine, University of Miami, Miami, FL.
4 Department of Epidemiology, University of Miami, Miami, FL.

To develop a method for assessing preclinical cardiovascular disease risk, models of resting cardiovascular regulation and of insulin metabolic syndrome were derived from information collected from 1991 to 1996 in a culturally heterogeneous sample of 319 healthy men and women (aged 25–44 years) from Miami-Dade County, Florida. The model of resting cardiovascular regulation used 8 noninvasive measures of autonomic and cardiovascular function. Three factors were derived: 1) parasympathetic, 2) inotropy, and 3) systemic vascular resistance. The model of insulin metabolic syndrome used 12 measures assessing body mass, insulin, glucose, and lipid metabolism. Four factors were derived: 1) body mass and fat distribution, 2) glucose level and regulation, 3) insulin level and regulation, and 4) plasma lipid levels. Analyses of the association of the two models revealed that subjects with lower cardiac contractility had greater body mass, higher fasting and postload insulin and glucose levels, and lower insulin sensitivity. Subjects with greater vascular resistance had greater body mass, higher total cholesterol and triglyceride levels, and lower high density lipoprotein cholesterol levels. These findings indicate that preclinical cardiovascular disease risk may involve pathophysiologic processes in which cardiac inotropic and vasodilatory functions are linked to specific aspects of insulin metabolic syndrome.

blacks; cardiovascular system; factor analysis, statistical; Hispanic Americans; insulin resistance; models, cardiovascular; sex; whites

Abbreviations: BMI, body mass index; CVD, cardiovascular disease; TPEV, time to peak ejection velocity


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