Literature DB >> 33321311

The dynamics of metabolic syndrome development from its isolated components among iranian children and adolescents: Findings from 17 Years of the Tehran Lipid and Glucose Study (TLGS).

Pezhman Bagheri1, Davood Khalil2, Mozhgan Seif3, Esmaeil Khedmati Morasae4, Ehsan Bahramali5, Fereidoun Azizi6, Abbas Rezaianzadeh7.   

Abstract

BACKGROUND: Careful evaluation of the progression trend of the metabolic syndrome (MetS) in children and adolescents (C&A) is one of the important methods of studying the natural history of MetS in them. This study was performed to determine the trend of changes in the progression of MetS from its components.
METHODS: This was a longitudinal study which was performed on data from 4 follow-up periods of Tehran Lipid and Glucose Study (TLGS) between 1999 and 2015. The research population consisted of 6-18-year-old children and adolescents creating 3895-person population. The criteria for the diagnosis of MetS was joint interim statement (JIS). The considered components were central adiposity, high blood pressure, insulin resistance, and dyslipidemia.
RESULTS: In this study, in the long term, the highest increase in the MetS' incidence in boys occurred in obesity and in girls in dyslipidemia and in total mode, in obesity. But in the short term (3.6 year follow-up periods) in the first to fourth periods, in total mode, the highest incidence occurred in dyslipidemia, hyperglycemia, dyslipidemia, and obesity. In terms of trend, in total mode, the highest increase in MetS incidence was related to the obesity component. Also, the incidence of MetS from all components was declining in overall mode. Also, the most common components at the beginning and end of the study in all groups were dyslipidemia with a decreasing and obesity with an increasing trend, respectively.
CONCLUSION: It seems that in Iranian C&As, obesity and dyslipidemia components play a more important role in the further development of the MetS than other components. This matter requires careful and serious attention in preventive and control planning.
Copyright © 2020. Published by Elsevier Ltd.

Entities:  

Keywords:  Combined component; Isolated component; Longitudinal development; Metabolic syndrome; TLGS

Year:  2020        PMID: 33321311     DOI: 10.1016/j.dsx.2020.12.012

Source DB:  PubMed          Journal:  Diabetes Metab Syndr        ISSN: 1871-4021


  1 in total

1.  Predicting the natural history of metabolic syndrome with a Markov-system dynamic model: a novel approach.

Authors:  Abbas Rezaianzadeh; Esmaeil Khedmati Morasae; Davood Khalili; Mozhgan Seif; Ehsan Bahramali; Fereidoun Azizi; Pezhman Bagheri
Journal:  BMC Med Res Methodol       Date:  2021-11-27       Impact factor: 4.615

  1 in total

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