Factor analysis and defining the metabolic syndrome.

OBJECTIVE The metabolic syndrome has been referred to as a number of metabolic or physiologic abnormalities that occur together more often than would be predicted by chance. Considerable controversy exists about the exact abnormalities that are a part of this syndrome. The aim of this study was to examine the interrelations between these abnormalities. DESIGN National Health and Nutrition Examination Survey (1988-1994), a national cross-sectional health survey. SETTING United States. PARTICIPANTS Persons aged > or = 20 years (N=6868). MAIN OUTCOME MEASUREMENTS Factors composed of variables often associated with the metabolic syndrome derived from principal components analysis. RESULTS Depending on the subgroup studied, the analyses suggested that at least 2 or 3 components were needed to explain the majority of variance in a set of variables. Regardless of age group, sex, race or ethnicity, 4 variables (waist circumference, fasting insulin, triglycerides, and high-density lipoprotein cholesterol) consistently loaded together on the first component, which is consistent with a metabolic syndrome factor. Some differences in the number of factors and the loading patterns occurred among 3 age groups and among men and women. Relatively minimal race or ethnic variation was observed when the data were stratified by sex. A subanalysis that included leptin concentrations produced a similar set of factors as the analysis without leptin concentration. Furthermore, leptin concentration did not provide a unifying explanation for the set of factors. CONCLUSIONS Patterns of factors of variables, often associated with the metabolic syndrome, tended to be similar among Whites, African Americans, and Mexican Americans.

[1]  B. Duncan,et al.  A Metabolic Syndrome in Whites and African-Americans: The Atherosclerosis Risk in Communities baseline study , 1996, Diabetes Care.

[2]  R. Gonzalez Applied Multivariate Statistics for the Social Sciences , 2003 .

[3]  P. Savage,et al.  Risk factor clustering in the insulin resistance syndrome. The Strong Heart Study. , 1998, American journal of epidemiology.

[4]  R. Krauss,et al.  Multivariate analysis of the insulin resistance syndrome in women. , 1994, Arteriosclerosis and thrombosis : a journal of vascular biology.

[5]  G. Reaven Role of Insulin Resistance in Human Disease , 1988, Diabetes.

[6]  Ralph B D'Agostino,et al.  Risk Variable Clustering in the Insulin Resistance Syndrome: The Framingham Offspring Study , 1997, Diabetes.

[7]  A. Marušič Factor analysis of risk for coronary heart disease: an independent replication. , 2000, International journal of cardiology.

[8]  I. Godsland,et al.  Factors of the metabolic syndrome: baseline interrelationships in the first follow-up cohort of the HDDRISC Study (HDDRISC-1). Heart Disease and Diabetes Risk Indicators in a Screened Cohort. , 1998, Arteriosclerosis, thrombosis, and vascular biology.

[9]  R. Prineas,et al.  Does insulin resistance unite the separate components of the insulin resistance syndrome? Evidence from the Miami Community Health Study. , 1997, Arteriosclerosis, thrombosis, and vascular biology.

[10]  B. Tomlinson,et al.  Factor analysis of the metabolic syndrome: obesity vs insulin resistance as the central abnormality , 2001, International Journal of Obesity.

[11]  V. Pollock,et al.  Fasting serum insulin levels in essential hypertension. A meta-analysis. , 1992, Archives of internal medicine.

[12]  G. Reaven Banting lecture 1988. Role of insulin resistance in human disease. , 1988, Diabetes.

[13]  R. Langer,et al.  Metabolic syndrome and ischemic heart disease in elderly men and women. , 2001, American journal of epidemiology.

[14]  M. Laakso,et al.  Insulin resistance syndrome predicts coronary heart disease events in elderly nondiabetic men. , 1999, Circulation.

[15]  J Viikari,et al.  Life changes, locus of control and metabolic syndrome precursors in adolescents and young adults: a three-year follow-up. , 1996, Social science & medicine.

[16]  J. Meigs,et al.  Invited commentary: insulin resistance syndrome? Syndrome X? Multiple metabolic syndrome? A syndrome at all? Factor analysis reveals patterns in the fabric of correlated metabolic risk factors. , 2000, American journal of epidemiology.

[17]  H. Lebovitz,et al.  Do Blacks With NIDDM Have an Insulin-Resistance Syndrome? , 1993, Diabetes.

[18]  P. Zimmet,et al.  Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus. Provisional report of a WHO Consultation , 1998, Diabetic medicine : a journal of the British Diabetic Association.

[19]  PäiviLempiäinen,et al.  Insulin Resistance Syndrome Predicts Coronary Heart Disease Events in Elderly Nondiabetic Men , 1999 .

[20]  J. Tuomilehto,et al.  Leptin and other components of the Metabolic Syndrome in Mauritius—a factor analysis , 2001, International Journal of Obesity.

[21]  C. H. Chen,et al.  Different association of hypertension and insulin-related metabolic syndrome between men and women in 8437 nondiabetic Chinese. , 2000, American journal of hypertension.

[22]  S. Grundy Hypertriglyceridemia, insulin resistance, and the metabolic syndrome. , 1999, The American journal of cardiology.

[23]  P. Wahl,et al.  Clustering of procoagulation, inflammation, and fibrinolysis variables with metabolic factors in insulin resistance syndrome. , 2000, American journal of epidemiology.

[24]  Wei Chen,et al.  Cardiovascular risk factors clustering features of insulin resistance syndrome (Syndrome X) in a biracial (Black-White) population of children, adolescents, and young adults: the Bogalusa Heart Study. , 1999, American journal of epidemiology.

[25]  I. Godsland,et al.  Hyperleptinemia as a component of a metabolic syndrome of cardiovascular risk. , 1998, Arteriosclerosis, thrombosis, and vascular biology.

[26]  S. Haffner,et al.  Metabolic precursors of hypertension. The San Antonio Heart Study. , 1996, Archives of internal medicine.