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Is there any relationship between different phenotypes of metabolic syndrome and cardiovascular mortality rate?

BACKGROUND: This study aimed to focus on different phenotypes of metabolic syndrome (MetS) and their impact on the cardiovascular disease (CVD) events among a sample of the Iranian population. MATERIALS AND METHODS: The Isfahan cohort study is a population-based, on-going longitudinal study of adult...

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Autores principales: Khosravi, Alireza, Ahmadzadeh, Sareh, Gharipour, Mojgan, Golshahi, Jafar, Sadeghi, Masoumeh, Jozan, Mahnaz, Sarrafzadegan, Nizal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156976/
https://www.ncbi.nlm.nih.gov/pubmed/28028525
http://dx.doi.org/10.4103/2277-9175.192727
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author Khosravi, Alireza
Ahmadzadeh, Sareh
Gharipour, Mojgan
Golshahi, Jafar
Sadeghi, Masoumeh
Jozan, Mahnaz
Sarrafzadegan, Nizal
author_facet Khosravi, Alireza
Ahmadzadeh, Sareh
Gharipour, Mojgan
Golshahi, Jafar
Sadeghi, Masoumeh
Jozan, Mahnaz
Sarrafzadegan, Nizal
author_sort Khosravi, Alireza
collection PubMed
description BACKGROUND: This study aimed to focus on different phenotypes of metabolic syndrome (MetS) and their impact on the cardiovascular disease (CVD) events among a sample of the Iranian population. MATERIALS AND METHODS: The Isfahan cohort study is a population-based, on-going longitudinal study of adults aged 35 years old or more, living in urban and rural areas of three counties in central Iran namely Isfahan, Najafabad and Arak. Participants were selected by multistage random sampling and were recruited to reflect the age, sex and urban/rural distribution of the community. The sample was restricted to subjects with MetS based on the National Cholesterol Education Program Adult Treatment Panel III criteria and no history of coronary heart disease, stroke, or cancer at the time of the baseline clinical examination. RESULTS: Among different phenotypes of MetS components, clustering of high triglycerides (TGs), low high-density lipoprotein (HDL) and abdominal obesity (ABO) was the most related to the all-cause mortality among women and followed in order by high TGs, hypertension (HTN) and ABO. In men, the highest rate of all-cause mortality was related to high TGs, low HDL, and HTN. Clustering of four components (high TGs, low HDL and HTN and obesity) is the most related to all-cause mortality in the both sexes (12.1% in men, and 21.5% in women). CONCLUSION: This study showed different phenotypes of MetS related with all-cause mortality rate and existing HTN in the phenotype of MetS increased the incidence of CVD mortality.
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spelling pubmed-51569762016-12-27 Is there any relationship between different phenotypes of metabolic syndrome and cardiovascular mortality rate? Khosravi, Alireza Ahmadzadeh, Sareh Gharipour, Mojgan Golshahi, Jafar Sadeghi, Masoumeh Jozan, Mahnaz Sarrafzadegan, Nizal Adv Biomed Res Original Article BACKGROUND: This study aimed to focus on different phenotypes of metabolic syndrome (MetS) and their impact on the cardiovascular disease (CVD) events among a sample of the Iranian population. MATERIALS AND METHODS: The Isfahan cohort study is a population-based, on-going longitudinal study of adults aged 35 years old or more, living in urban and rural areas of three counties in central Iran namely Isfahan, Najafabad and Arak. Participants were selected by multistage random sampling and were recruited to reflect the age, sex and urban/rural distribution of the community. The sample was restricted to subjects with MetS based on the National Cholesterol Education Program Adult Treatment Panel III criteria and no history of coronary heart disease, stroke, or cancer at the time of the baseline clinical examination. RESULTS: Among different phenotypes of MetS components, clustering of high triglycerides (TGs), low high-density lipoprotein (HDL) and abdominal obesity (ABO) was the most related to the all-cause mortality among women and followed in order by high TGs, hypertension (HTN) and ABO. In men, the highest rate of all-cause mortality was related to high TGs, low HDL, and HTN. Clustering of four components (high TGs, low HDL and HTN and obesity) is the most related to all-cause mortality in the both sexes (12.1% in men, and 21.5% in women). CONCLUSION: This study showed different phenotypes of MetS related with all-cause mortality rate and existing HTN in the phenotype of MetS increased the incidence of CVD mortality. Medknow Publications & Media Pvt Ltd 2016-11-28 /pmc/articles/PMC5156976/ /pubmed/28028525 http://dx.doi.org/10.4103/2277-9175.192727 Text en Copyright: © 2016 Advanced Biomedical Research http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Khosravi, Alireza
Ahmadzadeh, Sareh
Gharipour, Mojgan
Golshahi, Jafar
Sadeghi, Masoumeh
Jozan, Mahnaz
Sarrafzadegan, Nizal
Is there any relationship between different phenotypes of metabolic syndrome and cardiovascular mortality rate?
title Is there any relationship between different phenotypes of metabolic syndrome and cardiovascular mortality rate?
title_full Is there any relationship between different phenotypes of metabolic syndrome and cardiovascular mortality rate?
title_fullStr Is there any relationship between different phenotypes of metabolic syndrome and cardiovascular mortality rate?
title_full_unstemmed Is there any relationship between different phenotypes of metabolic syndrome and cardiovascular mortality rate?
title_short Is there any relationship between different phenotypes of metabolic syndrome and cardiovascular mortality rate?
title_sort is there any relationship between different phenotypes of metabolic syndrome and cardiovascular mortality rate?
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156976/
https://www.ncbi.nlm.nih.gov/pubmed/28028525
http://dx.doi.org/10.4103/2277-9175.192727
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