Literature DB >> 20708423

The metabolic syndrome defined by modified International Diabetes Federation criteria and mortality: a 9-year follow-up of the aged in Finland.

M Salminen1, M Kuoppamäki, T Vahlberg, I Räihä, K Irjala, S L Kivelä.   

Abstract

AIM: The aim of this study was to investigate the relationship between the metabolic syndrome (MetS) and mortality in the aged population.
METHODS: In this prospective population-based study with a 9-year follow-up, the participants were all residents of the municipality of Lieto, Finland, aged 64 and over in 1998-99 (n=1529). Altogether, 1260 (82%) were included in the study. Cox proportional-hazard models were used to estimate hazard ratios (HRs) for all-cause, cardiovascular (CVD), coronary heart disease (CHD) and cerebrovascular (CV) mortality as predicted by MetS (defined by modified International Diabetes Federation criteria).
RESULTS: At baseline, 17% of the men and 21% of the women had MetS. During the 9-year follow-up, 422 deaths occurred. After multivariable adjustment, no significant differences were found between subjects with and without MetS for all-cause, CVD, CHD or CV mortality in all study participants or by gender. On evaluating MetS components separately, elevated blood pressure was found to predict lower all-cause mortality in all participants [HR: 0.65; 95% confidence interval (CI): 0.47-0.89], and lower CHD mortality in men (HR: 0.42; 95% CI: 0.18-0.97). In women, high triglyceride levels predicted lower all-cause mortality (HR: 0.67; 95% CI: 0.47-0.95), whereas low HDL cholesterol predicted higher all-cause (HR: 1.61; 95% CI: 1.15-2.24) and CV (HR: 2.44; 95% CI: 1.05-5.67) mortality.
CONCLUSION: These findings suggest that MetS does not predict mortality later in life and, of the separate components of MetS, only low HDL cholesterol is predictive of mortality in women. Also, even markedly higher blood pressure values than those included in the criteria for MetS fail to predict mortality in this age group.
Copyright © 2010 Elsevier Masson SAS. All rights reserved.

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Year:  2010        PMID: 20708423     DOI: 10.1016/j.diabet.2010.05.002

Source DB:  PubMed          Journal:  Diabetes Metab        ISSN: 1262-3636            Impact factor:   6.041


  6 in total

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Authors:  P-H Chiang; C-L Liu; M-H Lin; L-N Peng; L-K Chen; J-D Chen; S-M Hou
Journal:  J Nutr Health Aging       Date:  2012       Impact factor: 4.075

2.  Influence of age on the prevalence and components of the metabolic syndrome and the association with cardiovascular disease.

Authors:  Marion C Devers; Stewart Campbell; David Simmons
Journal:  BMJ Open Diabetes Res Care       Date:  2016-04-25

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Journal:  Medicine (Baltimore)       Date:  2017-11       Impact factor: 1.817

4.  Influence of body variables in the development of metabolic syndrome-A long term follow-up study.

Authors:  Chiara Pavanello; Anna Maria Zanaboni; Sabrina Gaito; Margherita Botta; Giuliana Mombelli; Cesare R Sirtori; Massimiliano Ruscica
Journal:  PLoS One       Date:  2018-02-12       Impact factor: 3.240

5.  Effect of Metabolic Syndrome Score, Metabolic Syndrome, and Its Individual Components on the Prevalence and Severity of Angiographic Coronary Artery Disease.

Authors:  Ming-Hui Gui; Yan Ling; Lin Liu; Jing-Jing Jiang; Xiao-Ying Li; Xin Gao
Journal:  Chin Med J (Engl)       Date:  2017-03-20       Impact factor: 2.628

6.  Visceral obesity is not an independent risk factor of mortality in subjects over 65 years.

Authors:  Frédérique Thomas; Bruno Pannier; Athanase Benetos; Ulrich M Vischer
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  6 in total

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