Predictors of the Incident Metabolic Syndrome in Adults

Predictors of the Incident Metabolic Syndrome in Adults The Insulin Resistance Atherosclerosis Study Latha Palaniappan , MD, MS , Mercedes R. Carnethon , PHD , Yun Wang , MS , Anthony J.G. Hanley , PHD , Stephen P. Fortmann , MD , Stephen M. Haffner , MD, MPH and Lynne Wagenknecht , DRPH From the St...

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Veröffentlicht in:Diabetes care 2004-03, Vol.27 (3), p.788-793
Hauptverfasser: Palaniappan, Latha, Carnethon, Mercedes R., Wang, Yun, Hanley, Anthony J.G., Fortmann, Stephen P., Haffner, Stephen M., Wagenknecht, Lynne
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Zusammenfassung:Predictors of the Incident Metabolic Syndrome in Adults The Insulin Resistance Atherosclerosis Study Latha Palaniappan , MD, MS , Mercedes R. Carnethon , PHD , Yun Wang , MS , Anthony J.G. Hanley , PHD , Stephen P. Fortmann , MD , Stephen M. Haffner , MD, MPH and Lynne Wagenknecht , DRPH From the Stanford University Medical Center, Stanford, California Address correspondence and reprint requests to Latha Palaniappan, MD, MS, Stanford Prevention Research Center, Stanford University School of Medicine, Hoover Pavilion, Room N229, 211 Quarry Dr., Stanford, CA 94305-5705. E-mail: lathap{at}stanford.edu Abstract OBJECTIVE —To prospectively investigate predictors of the incident metabolic syndrome in nondiabetic adults. RESEARCH DESIGN AND METHODS —This analysis included 714 white, black, and Hispanic participants in the Insulin Resistance Atherosclerosis Study (IRAS) who were free of the metabolic syndrome at baseline; 139 of these developed the metabolic syndrome in the subsequent 5 years. We examined measures of glucose (fasting and 2 h), insulin (fasting and 2 h, acute insulin response, insulin sensitivity [ S i ], and proinsulin), lipids (HDL and triglycerides), blood pressure (systolic and diastolic), waist circumference, and baseline physical activity (total energy expenditure) as predictors of the metabolic syndrome. Logistic regression models were adjusted for age, sex, study site, ethnicity, and impaired glucose tolerance. Signal detection analysis was used to identify the characteristics of the highest risk group. RESULTS —The best predictors of incident metabolic syndrome were waist circumference (odds ratio [OR] 1.7 [1.3–2.0] per 11 cm), HDL cholesterol (0.6 [0.4–0.7] per 15 mg/dl), and proinsulin (1.7 [1.4–2.0] per 3.3 pmol/l). Signal detection analysis identified waist circumference (>89 cm in women, >102 cm in men) as the optimal predictor. CONCLUSIONS —These findings suggest that obesity may precede the development of other metabolic syndrome components. Interventions that address obesity and reduce waist circumference may reduce the incidence of the metabolic syndrome in nondiabetic adults. IGT, impaired glucose tolerance IRAS, Insulin Resistance Atherosclerosis Study NCEP, National Cholesterol Education Program NGT, normal glucose tolerance Footnotes Accepted December 16, 2003. Received October 13, 2003. DIABETES CARE
ISSN:0149-5992
1935-5548
DOI:10.2337/diacare.27.3.788