Literature DB >> 14513078

Metabolic syndrome: epidemiology and more extensive phenotypic description. Cross-sectional data from the Bruneck Study.

E Bonora1, S Kiechl, J Willeit, F Oberhollenzer, G Egger, R C Bonadonna, M Muggeo.   

Abstract

OBJECTIVES: The present study aimed at evaluating the prevalence of the Metabolic Syndrome and at identifying its additional clinical features. RESEARCH DESIGN AND METHODS: Within a prospective population-based survey examining 888 subjects aged 40-79 y, subjects were identified fulfilling the WHO and the National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATPIII) criteria for diagnosing the Metabolic Syndrome. In these subjects and in the rest of the sample (controls), several metabolic and nonmetabolic biochemical parameters were compared.
RESULTS: The prevalence of the Metabolic Syndrome by WHO criteria was 34.1% (95% CI 31.0-37.2) and by NCEP-ATPIII criteria 17.8% (15.5-20.3). The prevalence was significantly higher in older subjects and in those less physically active. Subjects with the Metabolic Syndrome either by WHO or by NCEP-ATPIII criteria showed higher levels of oxidized low-density lipoprotein, apolipoprotein B, urate, leptin, fibrinogen, leukocytes, erythrocyte sedimentation rate, GOT, gamma-GT and soluble endothelial adhesion molecules (E-selectin, vascular adhesion molecule-1 and intercellular adhesion molecule-1) and lower apolipoprotein A concentrations. Insulin resistance, as assessed by the Homeostasis Model Assessment, increased with the increase in the number of traits composing the syndrome found within the single individual. Subjects with insulin resistance had more pronounced abnormalities in several parameters, including the additional features of the syndrome (eg fibrinogen and soluble adhesion molecules).
CONCLUSIONS: The Metabolic Syndrome occurs very frequently in the general population aged 40-79 y, and is associated with several additional metabolic and nonmetabolic abnormalities that likely contribute to an increased cardiovascular risk. Insulin resistance seems to play a major role in classic and additional abnormalities featuring the Metabolic Syndrome.

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Mesh:

Year:  2003        PMID: 14513078     DOI: 10.1038/sj.ijo.0802381

Source DB:  PubMed          Journal:  Int J Obes Relat Metab Disord


  25 in total

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Authors:  James A Armitage; Imran Y Khan; Paul D Taylor; Peter W Nathanielsz; Lucilla Poston
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Review 2.  Reproductive aging and risk for chronic disease: Insights from studies of nonhuman primates.

Authors:  Susan E Appt; Kelly F Ethun
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Review 3.  Do non-nucleoside reverse transcriptase inhibitors contribute to lipodystrophy?

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Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

4.  Is there an estrogenic component in the metabolic syndrome?

Authors:  S Starcke; G Vollmer
Journal:  Genes Nutr       Date:  2006-09       Impact factor: 5.523

5.  Proteinuria and metabolic syndrome as predictors of cardiovascular death in non-diabetic and type 2 diabetic men and women.

Authors:  A Juutilainen; S Lehto; T Rönnemaa; K Pyörälä; M Laakso
Journal:  Diabetologia       Date:  2005-12-20       Impact factor: 10.122

Review 6.  Inflammation and the metabolic syndrome: role of angiotensin II and oxidative stress.

Authors:  León Ferder; Felipe Inserra; Manuel Martínez-Maldonado
Journal:  Curr Hypertens Rep       Date:  2006-06       Impact factor: 5.369

7.  Developmental programming of aortic and renal structure in offspring of rats fed fat-rich diets in pregnancy.

Authors:  James A Armitage; Lorin Lakasing; Paul D Taylor; Aswini A Balachandran; Runa I Jensen; Vasia Dekou; Nick Ashton; Jens R Nyengaard; Lucilla Poston
Journal:  J Physiol       Date:  2005-03-17       Impact factor: 5.182

8.  Optimal cut-off of homeostasis model assessment of insulin resistance (HOMA-IR) for the diagnosis of metabolic syndrome: third national surveillance of risk factors of non-communicable diseases in Iran (SuRFNCD-2007).

Authors:  Alireza Esteghamati; Haleh Ashraf; Omid Khalilzadeh; Ali Zandieh; Manouchehr Nakhjavani; Armin Rashidi; Mehrdad Haghazali; Fereshteh Asgari
Journal:  Nutr Metab (Lond)       Date:  2010-04-07       Impact factor: 4.169

9.  Impaired EDHF-mediated vasodilatation in adult offspring of rats exposed to a fat-rich diet in pregnancy.

Authors:  P D Taylor; I Y Khan; M A Hanson; L Poston
Journal:  J Physiol       Date:  2004-06-11       Impact factor: 5.182

10.  Mediterranean-style dietary pattern, reduced risk of metabolic syndrome traits, and incidence in the Framingham Offspring Cohort.

Authors:  Marcella E Rumawas; James B Meigs; Johanna T Dwyer; Nicola M McKeown; Paul F Jacques
Journal:  Am J Clin Nutr       Date:  2009-10-14       Impact factor: 7.045

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