Literature DB >> 16823407

Epidemiological evidence for the non-random clustering of the components of the metabolic syndrome: multicentre study of the Mediterranean Group for the Study of Diabetes.

A Thanopoulou1, B Karamanos, F Angelico, S Assaad-Khalil, P Djordjevic, N Katsilambros, I Migdalis, M Mrabet, M Petkova, D Roussi, M-T Tenconi, A Archimandritis.   

Abstract

OBJECTIVE: To determine: (a) whether the components of metabolic syndrome (MetS) cluster more frequently than predicted by chance alone and (b) whether increased risk for MetS is associated also with values of each component below, but close to the cutoff points defining MetS. RESEARCH DESIGN AND METHODS: Anthropometrical and biochemical measurements were performed and a dietary questionnaire was filled-in in 1833 randomly selected non-diabetic subjects, 916 men and 917 women, 20-74 years old, in nine centres in five Mediterranean countries. The prevalence of MetS and of possible combinations of its individual components was measured. The expected frequencies of the above combinations were calculated according to the mathematical formula of probabilities.
RESULTS: The overall prevalence of MetS was 27.2%, but varied greatly among countries, from 5.8% in Algeria to 37.3% in Greece. The observed prevalence of each combination diagnostic of MetS was higher than the expected by chance. Thus, the observed overall prevalence of MetS was also higher than the expected, 27.2 vs 24.0%, P=0.03. Furthermore, for each individual component (except high-density lipoprotein), as values in the normal range, approached the cutoff point, the risk of having MetS (i.e. clustering of the other components) increased significantly (odds ratio 2.2-4.6, P<0.001).
CONCLUSIONS: The MetS is not related to the Mediterranean type of diet and its prevalence varies greatly among five Mediterranean countries. The clustering of the components defining the MetS is not due to chance and moreover even 'high normal' levels of each component confer increased risk for the syndrome.

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Year:  2006        PMID: 16823407     DOI: 10.1038/sj.ejcn.1602467

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  8 in total

1.  Reduced heart rate variability is related to the number of metabolic syndrome components and manifest diabetes in the sixth Tromsø study 2007-2008.

Authors:  Naomi Azulay; Roy Bjørkholt Olsen; Christopher Sivert Nielsen; Audun Stubhaug; Trond Geir Jenssen; Henrik Schirmer; Arnoldo Frigessi; Leiv Arne Rosseland; Christian Tronstad
Journal:  Sci Rep       Date:  2022-07-14       Impact factor: 4.996

2.  Age- and sex-specific prevalence and ten-year risk for cardiovascular disease of all 16 risk factor combinations of the metabolic syndrome - A cross-sectional study.

Authors:  Susanne Moebus; Chakrapani Balijepalli; Christian Lösch; Laura Göres; Bernd von Stritzky; Peter Bramlage; Jürgen Wasem; Karl-Heinz Jöckel
Journal:  Cardiovasc Diabetol       Date:  2010-08-09       Impact factor: 9.951

3.  Prevalence of Metabolic Syndrome and its Related Risk Factors in the City of Oran, Algeria: the ISOR Study.

Authors:  Leila Houti; Imane Hamani-Medjaoui; Sarah A Lardjam-Hetraf; Hadjira Ouhaibi-Djellouli; Saada Chougrani; Louisa Goumidi; Sounnia Mediene-Benchekor
Journal:  Ethn Dis       Date:  2016-01-21       Impact factor: 1.847

4.  Prevalence and risk factors associated with nutrition-related noncommunicable diseases in the Eastern Mediterranean region.

Authors:  Abdulrahman O Musaiger; Hazzaa M Al-Hazzaa
Journal:  Int J Gen Med       Date:  2012-02-29

Review 5.  Effectiveness of the Mediterranean diet in the elderly.

Authors:  Blanca Roman; Laura Carta; Miguel Angel Martínez-González; Lluís Serra-Majem
Journal:  Clin Interv Aging       Date:  2008       Impact factor: 4.458

6.  Active commuting to and from university, obesity and metabolic syndrome among Colombian university students.

Authors:  Antonio García-Hermoso; Andrea P Quintero; Enrique Hernández; Jorge Enrique Correa-Bautista; Mikel Izquierdo; Alejandra Tordecilla-Sanders; Daniel Prieto-Benavides; Carolina Sandoval-Cuellar; Katherine González-Ruíz; Emilio Villa-González; Robinson Ramírez-Vélez
Journal:  BMC Public Health       Date:  2018-04-19       Impact factor: 3.295

7.  Analysis of agreement among definitions of metabolic syndrome in nondiabetic Turkish adults: a methodological study.

Authors:  Ahmet Selcuk Can; Thomas P Bersot
Journal:  BMC Public Health       Date:  2007-12-19       Impact factor: 3.295

8.  Effects of metabolic syndrome on fibrosis in chronic viral hepatitis.

Authors:  Harry Yoon; Jeong Guil Lee; Jeong Hwan Yoo; Myung Su Son; Dae Young Kim; Seong Gyu Hwang; Kyu Sung Rim
Journal:  Gut Liver       Date:  2013-06-20       Impact factor: 4.519

  8 in total

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