title: How many components for the metabolic syndrome? Results of exploratory factor analysis in the FIBAR study.
abstract: OBJECTIVE
  Factor analysis can be used as a basis for the determination of diagnostic criteria for the metabolic syndrome (MS). This approach can be used as a basis for the determination of diagnostic criteria for MS.
  
  
  RESULTS
  Exploratory factor analysis of Adult Treatment Panel (ATP)-III and International Diabetes Federation (IDF) criteria for MS, entered as dichotomic variables, was performed on 2945 patients enrolled in a screening programme for diabetes. The ability of calculated factors to identify patients with MS-related conditions (glucose intolerance, hyperuricaemia, and elevation of alanine aminotransferase; ALT) was assessed through Receiver Operator Characteristics (ROC) curve analysis. Alternative sets of criteria based on ATP-III and IDF definitions of MS were also assessed. A two-factor structure was found for both ATP-III and IDF criteria. Factor 1 (associated with fasting hyperglycaemia, hypertension, and elevated waist circumference) was capable of identifying subjects with MS-related conditions to a greater extent than factor 2 (low HDL-cholesterol and hypertriglyceridaemia). When a composite variable (low HDL-cholesterol and/or hypertriglyceridaemia) was used for dislipidaemia, a single factor structure was obtained both for ATP-III and IDF definitions; this factor structure was retained when hyperuricaemia was added as a fifth component of MS. Such a modified definition of MS was not inferior to original ATP-III and IDF criteria in the identification of subjects with glucose intolerance and elevated ALT.
  
  
  CONCLUSIONS
  A modification of current ATP-III or IDF criteria is necessary in order to obtain a single-factor structure. Alternative definitions of MS, including additional features, such as hyperuricaemia, can maintain a monofactorial structure, and an association with related conditions not inferior to that of original criteria.
authors: Section of Endocrinology, Department of Clinical Pathophysiology, University of Florence, Viale Pieraccini 6, 50139 Florence, Italy.
authors: E
authors: E
authors: Mannucci
authors: M
authors: M
authors: Monami
authors: C M
authors: CM
authors: Rotella
mesh_terms: D000328:Adult; D000410:Alanine Transaminase / Q000378:metabolism; D015992:Body Mass Index; D003924:Diabetes Mellitus, Type 2 / Q000150:complications / Q000175:diagnosis; D003937:Diagnosis, Differential; D005163:Factor Analysis, Statistical; D018149:Glucose Intolerance / Q000150:complications / Q000175:diagnosis; D006801:Humans; D006943:Hyperglycemia / Q000150:complications / Q000175:diagnosis; D006949:Hyperlipidemias / Q000150:complications / Q000175:diagnosis; D006973:Hypertension / Q000150:complications / Q000175:diagnosis; D033461:Hyperuricemia / Q000150:complications / Q000175:diagnosis; D024821:Metabolic Syndrome / Q000175:diagnosis* / Q000453:epidemiology / Q000209:etiology; D008875:Middle Aged; D011237:Predictive Value of Tests; D025341:Principal Component Analysis; D012372:ROC Curve; D012307:Risk Factors; D049629:Waist-Hip Ratio
chemical_list: D000410:Alanine Transaminase