Cargando…

The Structure of Metabolic Syndrome Components Across Follow-Up Survey From Childhood to Adolescence

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 facto...

Descripción completa

Detalles Bibliográficos
Autores principales: Bahar, Adeleh, Hosseini Esfahani, Firoozeh, Asghari Jafarabadi, Mohammad, Mehrabi, Yadollah, Azizi, Fereidoun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kowsar 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3693654/
https://www.ncbi.nlm.nih.gov/pubmed/23853615
http://dx.doi.org/10.5812/ijem.4477
_version_ 1782274744734711808
author Bahar, Adeleh
Hosseini Esfahani, Firoozeh
Asghari Jafarabadi, Mohammad
Mehrabi, Yadollah
Azizi, Fereidoun
author_facet Bahar, Adeleh
Hosseini Esfahani, Firoozeh
Asghari Jafarabadi, Mohammad
Mehrabi, Yadollah
Azizi, Fereidoun
author_sort Bahar, Adeleh
collection PubMed
description 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.
format Online
Article
Text
id pubmed-3693654
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Kowsar
record_format MEDLINE/PubMed
spelling pubmed-36936542013-07-12 The Structure of Metabolic Syndrome Components Across Follow-Up Survey From Childhood to Adolescence Bahar, Adeleh Hosseini Esfahani, Firoozeh Asghari Jafarabadi, Mohammad Mehrabi, Yadollah Azizi, Fereidoun Int J Endocrinol Metab Research Article 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. Kowsar 2012-12-21 2013 /pmc/articles/PMC3693654/ /pubmed/23853615 http://dx.doi.org/10.5812/ijem.4477 Text en Copyright © 2013, Research Institute For Endocrine Sciences and Iran Endocrine Society http://creativecommons.org/licenses/by/3/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Bahar, Adeleh
Hosseini Esfahani, Firoozeh
Asghari Jafarabadi, Mohammad
Mehrabi, Yadollah
Azizi, Fereidoun
The Structure of Metabolic Syndrome Components Across Follow-Up Survey From Childhood to Adolescence
title The Structure of Metabolic Syndrome Components Across Follow-Up Survey From Childhood to Adolescence
title_full The Structure of Metabolic Syndrome Components Across Follow-Up Survey From Childhood to Adolescence
title_fullStr The Structure of Metabolic Syndrome Components Across Follow-Up Survey From Childhood to Adolescence
title_full_unstemmed The Structure of Metabolic Syndrome Components Across Follow-Up Survey From Childhood to Adolescence
title_short The Structure of Metabolic Syndrome Components Across Follow-Up Survey From Childhood to Adolescence
title_sort structure of metabolic syndrome components across follow-up survey from childhood to adolescence
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3693654/
https://www.ncbi.nlm.nih.gov/pubmed/23853615
http://dx.doi.org/10.5812/ijem.4477
work_keys_str_mv AT baharadeleh thestructureofmetabolicsyndromecomponentsacrossfollowupsurveyfromchildhoodtoadolescence
AT hosseiniesfahanifiroozeh thestructureofmetabolicsyndromecomponentsacrossfollowupsurveyfromchildhoodtoadolescence
AT asgharijafarabadimohammad thestructureofmetabolicsyndromecomponentsacrossfollowupsurveyfromchildhoodtoadolescence
AT mehrabiyadollah thestructureofmetabolicsyndromecomponentsacrossfollowupsurveyfromchildhoodtoadolescence
AT azizifereidoun thestructureofmetabolicsyndromecomponentsacrossfollowupsurveyfromchildhoodtoadolescence
AT baharadeleh structureofmetabolicsyndromecomponentsacrossfollowupsurveyfromchildhoodtoadolescence
AT hosseiniesfahanifiroozeh structureofmetabolicsyndromecomponentsacrossfollowupsurveyfromchildhoodtoadolescence
AT asgharijafarabadimohammad structureofmetabolicsyndromecomponentsacrossfollowupsurveyfromchildhoodtoadolescence
AT mehrabiyadollah structureofmetabolicsyndromecomponentsacrossfollowupsurveyfromchildhoodtoadolescence
AT azizifereidoun structureofmetabolicsyndromecomponentsacrossfollowupsurveyfromchildhoodtoadolescence