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Paper Information

Journal:   INTERNATIONAL JOURNAL OF ENDOCRINOLOGY AND METABOLISM (IJEM)   WINTER 2013 , Volume 11 , Number 1; Page(s) 16 To 22.
 
Paper: 

THE STRUCTURE OF METABOLIC SYNDROME COMPONENTS ACROSS FOLLOW-UP SURVEY FROM CHILDHOOD TO ADOLESCENCE

 
 
Author(s):  ADELEH BAHAR, HOSSEINI ESFAHANI FIROOZEH, ASGHARI JAFARABADI MOHAMMAD, MEHRABI YADOLLAH, AZIZI FEREIDOUN*
 
* ENDOCRINE RESEARCH CENTER, RESEARCH INSTITUTE FOR ENDOCRINE SCIENCES, SHAHID BEHESHTI UNIVERSITY OF MEDICAL SCIENCES, P.O. BOX: 19395-4763, TEHRAN, I.R. IRAN
 
Abstract: 

Background: The choice of what parameters are needed for the diagnosis of Metabolic syndrome (MetS) has been criticized due to the lack of an actual “gold standard” diagnostic test even in adults. This problem seems to be greater in children and adolescents.
Objectives: Stability assessment of factor structure underlying metabolic syndrome (MetS) components from childhood to adolescence in a panel study.
Patients and Methods: A total number of 643 (305 boys and 338 girls) children (from 1999 to 2001), aged 6-10 years, with a complete median follow-up of 6.7 years (from 2006 to 2008) were selected among participants of Tehran Lipid and Glucose Study. We proposed 6 measured variables based on risk factors defined in Adult Treatment Panel III guidelines to describe clustering of MetS components.
Results: The Goodness of fit of the two-factor model, extracted from exploratory factor analysis, was appropriate for boys and girls in both stages of the study using confirmatory factor analysis. Systolic blood pressure (SBP) and triglycerides (TGs), with parameter estimates (PE) of 1 and 0.75, respectively, were the greatest risk factors at baseline in boys and girls. Waist circumference with PE of 0.88 and 0.62, and SBP with PE of 0.99 and 0.86 in adolescent boys and girls, respectively, were important risk factors.
Conclusions: Our panel study supports the stability of the two-factor six-variable model across two developmental stages from childhood to adolescence, among which adiposity, SBP, and TG were the predominant risk factors.

 
Keyword(s): ADOLESCENT, CHILDHOOD, FACTOR ANALYSIS, STATISTICAL
 
References: 
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