title: Factor analysis of cardiovascular risk clustering in pediatric metabolic syndrome: CASPIAN study.
abstract: OBJECTIVE
  To assess the results of factor analysis of coronary artery disease risk factors in a large national representative sample of children, and to compare its results on the variables measured between those with or without metabolic syndrome (MetS).
  
  
  METHODS
  This cross-sectional multicenter population survey was conducted on 4,811 nationally representative school students aged 6-18 years. MetS was defined based on criteria analogous to the Adult Treatment Panel III. Factor analysis by principle components analysis and Varimax rotation was carried out to cluster risk factors.
  
  
  RESULTS
  MetS was present in 14.1% of subjects (n = 678). From the nine variables assessed, factor analysis of the z scores of variables show that in all age groups, three similar factors were loaded: lipids, adiposity, and blood pressure, that accounted for 87.4-90.8% of the variance. Three factors were loaded in those with MetS (cholesterol/TG, metabolic/adiposity, and blood pressure) (65.9% of variance); and four factors (cholesterol, metabolic, adiposity, and blood pressure) were loaded among those without the MetS (75.6% of variance). We did not find a central feature that underlies all three factors among children with the MetS; however, waist circumference was the only variable that was loaded for two factors.
  
  
  CONCLUSIONS
  These findings support a change in the concept of MetS from that of a single entity to one that represents several distinct but intercorrelated entities. An approach to assessing risk clustering from early life, and longitudinal studies that would elucidate how these various risk domains interact over time are needed.
authors.affiliation: Preventive Pediatric Cardiology Department, Isfahan Cardiovascular Research Center, Isfahan University of Medical Sciences, Isfahan, Iran. kroya@aap.net <kroya@aap.net>
authors.forename: Roya
authors.initials: R
authors.lastname: Kelishadi
authors.forename: Gelayol
authors.initials: G
authors.lastname: Ardalan
authors.forename: Khosrow
authors.initials: K
authors.lastname: Adeli
authors.forename: Molouk
authors.initials: M
authors.lastname: Motaghian
authors.forename: Reza
authors.initials: R
authors.lastname: Majdzadeh
authors.forename: Minoo Sadat
authors.initials: MS
authors.lastname: Mahmood-Arabi
authors.forename: Alireza
authors.initials: A
authors.lastname: Delavari
authors.forename: Mohammad Mehdi
authors.initials: MM
authors.lastname: Riazi
authors.forename: Roshanak
authors.initials: R
authors.lastname: Namazi
authors.forename: Mohammad Arash
authors.initials: MA
authors.lastname: Ramezani
mesh_terms: D050154:Adiposity / Q000502:physiology*; D000293:Adolescent; D001794:Blood Pressure / Q000502:physiology*; D002318:Cardiovascular Diseases / Q000097:blood / Q000453:epidemiology* / Q000209:etiology; D002648:Child; D016000:Cluster Analysis; D003430:Cross-Sectional Studies; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D007492:Iran / Q000453:epidemiology; D008055:Lipids / Q000097:blood*; D008137:Longitudinal Studies; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood / Q000453:epidemiology* / Q000209:etiology; D025341:Principal Component Analysis; D012307:Risk Factors
chemical_list: D008055:Lipids