Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Factor Analysis of Cardiovascular Risk Clustering in Pediatric Metabolic Syndrome: Caspian Study Publisher Pubmed



Kelishadi R1, 9 ; Ardalan G2 ; Adeli K3 ; Motaghian M4 ; Majdzadeh R5 ; Mahmoodarabi MS6 ; Delavari A7 ; Riazi MM2 ; Namazi R2 ; Ramezani MA8
Authors
Show Affiliations
Authors Affiliations
  1. 1. Preventive Pediatric Cardiology Department, Isfahan Cardiovascular Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. School Health Office, Ministry of Health, Tehran, Iran
  3. 3. Clinical Biochemistry, Hospital for Sick Children, University of Toronto, Toronto, Ont., Canada
  4. 4. Bureau of Health, Iranian Ministry of Education, Tehran, Iran
  5. 5. School of Public Health, Institute of Public Health Research, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. School Health Office, Iranian Ministry of Health, Tehran, Iran
  7. 7. Noncommunicable Disease Department, Center for Disease Control, Ministry of Health, Tehran, Iran
  8. 8. Isfahan University of Medical Sciences, Isfahan, Iran
  9. 9. Preventive Pediatric Cardiology Department, Isfahan Cardiovascular Research Center (WHO Collaborating Center in EMR), Isfahan University of Medical Sciences, Isfahan, PO Box 81465-1148, Iran

Source: Annals of Nutrition and Metabolism Published:2007


Abstract

Aims: 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. Conclusion: 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. Copyright © 2007 S. Karger AG.
Other Related Docs
17. Familial Aggregation of the Components of Metabolic Syndrome, Pakistan Journal of Medical Sciences (2012)
21. Risk Factors for Coronary Artery Disease in Isfahan, Iran, European Journal of Public Health (1999)