Literature DB >> 34178824

The dynamics of metabolic syndrome development from its isolated components among Iranian adults: findings from 17 years of the Tehran lipid and glucose study (TLGS).

Davood Khalili1,2, Pezhman Bagheri3, Mozhgan Seif4, Abbas Rezaianzadeh5, Esmaeil Khedmati Morasae6, Ehsan Bahramali7, Fereidoun Azizi8.   

Abstract

BACKGROUND: Evaluating the process of changes in the Metabolic Syndrome (MetS) components over time is one of the ways to study of the MetS natural history. This study aimed to determine the trend of changes in the progression of MetS from its isolated components.
METHODS: This longitudinal study was performed on four follow-up periods of the Tehran Lipid and Glucose Study (TLGS) between 1999 and 2015. The research population consisted of 3905 adults over the age of 18 years. MetS was diagnosed based on the Joint Interim Statement (JIS). The considered components were abdominal obesity, hypertension, hyperglycemia, and dyslipidemia.
RESULTS: The highest incidence of MetS from its components was related to hypertension in the short term (3.6-year intervals). In the long run, however, the highest increase in the MetS incidence occurred due to abdominal obesity. Overall, the incidence of MetS increased due to obesity and dyslipidemia, but decreased due to the other factors. Nonetheless, the trend of MetS incidence from all components increased in total. The most common components were dyslipidemia with a decreasing trend and obesity with an increasing trend during the study.
CONCLUSION: The results indicated that obesity and hypertension components played a more important role in the further development of MetS compared to other components in the Iranian adult population. This necessitates careful and serious attention in preventive and control planning. © Springer Nature Switzerland AG 2021.

Entities:  

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

Year:  2021        PMID: 34178824      PMCID: PMC8212343          DOI: 10.1007/s40200-020-00717-8

Source DB:  PubMed          Journal:  J Diabetes Metab Disord        ISSN: 2251-6581


  45 in total

1.  Appropriate waist circumference cut-off points among Iranian adults: the first report of the Iranian National Committee of Obesity.

Authors:  Fereidoun Azizi; Davood Khalili; Hassan Aghajani; Alireza Esteghamati; Farhad Hosseinpanah; Alireza Delavari; Bagher Larijani; Parvin Mirmiran; Yadollah Mehrabi; Roya Kelishadi; Farzad Hadaegh
Journal:  Arch Iran Med       Date:  2010-05       Impact factor: 1.354

Review 2.  Handling missing data: a commonly encountered problem in quantitative research.

Authors:  Mary E Duffy
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3.  Risk factors for the metabolic syndrome: the Coronary Artery Risk Development in Young Adults (CARDIA) study, 1985-2001.

Authors:  Mercedes R Carnethon; Catherine M Loria; James O Hill; Stephen Sidney; Peter J Savage; Kiang Liu
Journal:  Diabetes Care       Date:  2004-11       Impact factor: 19.112

4.  Longitudinal paths to the metabolic syndrome: can the incidence of the metabolic syndrome be predicted? The Baltimore Longitudinal Study of Aging.

Authors:  Angelo Scuteri; Christopher H Morrell; Samer S Najjar; Denis Muller; Reubin Andres; Luigi Ferrucci; Edward G Lakatta
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-03-06       Impact factor: 6.053

5.  Validity and reliability of self-reported physical activity status: the Lipid Research Clinics questionnaire.

Authors:  B E Ainsworth; D R Jacobs; A S Leon
Journal:  Med Sci Sports Exerc       Date:  1993-01       Impact factor: 5.411

6.  Incidence of metabolic syndrome and its risk factors among type 2 diabetes clinic attenders in Isfahan, Iran.

Authors:  Mohsen Janghorbani; Masoud Amini
Journal:  Endokrynol Pol       Date:  2012       Impact factor: 1.582

7.  The dynamic behaviour of metabolic syndrome and its components in an eight-year population-based cohort from the Mediterranean.

Authors:  Maria A Barceló; Antonio Rodríguez-Poncelas; Marc Saez; Gabriel Coll-de-Tuero
Journal:  PLoS One       Date:  2017-05-18       Impact factor: 3.240

Review 8.  Dyslipidemia in obesity: mechanisms and potential targets.

Authors:  Boudewijn Klop; Jan Willem F Elte; Manuel Castro Cabezas
Journal:  Nutrients       Date:  2013-04-12       Impact factor: 5.717

9.  Description and prediction of the development of metabolic syndrome in Dongying City: a longitudinal analysis using the Markov model.

Authors:  Xiaoxiao Chen; Qicai Chen; Lili Chen; Pengpeng Zhang; Juan Xiao; Shumei Wang
Journal:  BMC Public Health       Date:  2014-10-04       Impact factor: 3.295

10.  Changes in metabolic syndrome and its components and the risk of type 2 diabetes: a nationwide cohort study.

Authors:  Min-Kyung Lee; Kyungdo Han; Mee Kyoung Kim; Eun Sil Koh; Eun Sook Kim; Ga Eun Nam; Hyuk-Sang Kwon
Journal:  Sci Rep       Date:  2020-02-11       Impact factor: 4.379

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  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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