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A multivariate study of metabolic syndrome risk factors, using factor analysis: Tehran Lipid and Glucose Study
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M Daneshpour   , Y Mehrabi , M Hedayati , M Houshmand , F Azizi |
| , azizi@ erc.ac.ir |
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Abstract: (36575 Views) |
| Introduction: Because of the high prevalence of the metabolic syndrome in Iran, this study used factor analysis to examine how the major components of the metabolic syndrome relate to each other and the role of hyperlipidemia in Iranian subjects. Materials and Methods: 8990 subjects aged over 18 years, participants of the Tehran Lipid and Glucose Study, were selected. Anthropometry, blood pressure, serum glucose and lipid concentrations were measured to estimate the prevalence of the metabolic syndrome. Before and after excluding individuals with diabetes and hypertension, we used factor analysis to examine the pattern of the metabolic syndrome in 3956 men and 5034 women. Result: 26.6% of men and 36.3% of women had metabolic syndrome by ATPIII criteria and low HDL-C was the most frequent finding in subjects. Factor analysis reduced 8 anthropometric and metabolic variables into four uncorrelated factors. Four factors, which together account for 83.3% of the variance, can be identified: the first was obesity, blood pressure and hyperglycemia were second (hypertension) and the third factor was hypoglycemia. Dyslipidemia was the last factor and had a correlation with obesity. Conclusion: Findings support a concept in which the metabolic syndrome represents several distinct entities (dyslipidemia, obesity, hypertension and hyperglycemia) and obesity is the most important factor, having a strong correlation with dislipidemia in the Iranian population. |
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| Keywords: Metabolic syndrome; Dyslipidemia; Obesity; Factor analysis |
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Type of Study: Original |
Subject:
Endocrinology
Received: 2006/11/15 | Published: 2006/06/15
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