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 |
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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 |
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ISSN: | 0149-5992 1935-5548 |
DOI: | 10.2337/diacare.27.3.788 |