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Does the impact of metabolic syndrome on cardiovascular events vary by using different definitions?

BACKGROUND: Metabolic Syndrome (MetS) is a complex disorder which increases the risk of chronic diseases, including cardiovascular diseases and diabetes mellitus. As a result of modern lifestyles, the prevalence of MetS has been rising globally. This study aims to investigate whether overall prevale...

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Autores principales: Khosravi-Boroujeni, Hossein, Ahmed, Faruk, Sadeghi, Masoumeh, Roohafza, Hamidreza, Talaei, Mohammad, Dianatkhah, Minoo, Pourmogaddas, Ali, Sarrafzadegan, Nizal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696331/
https://www.ncbi.nlm.nih.gov/pubmed/26715355
http://dx.doi.org/10.1186/s12889-015-2623-3
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author Khosravi-Boroujeni, Hossein
Ahmed, Faruk
Sadeghi, Masoumeh
Roohafza, Hamidreza
Talaei, Mohammad
Dianatkhah, Minoo
Pourmogaddas, Ali
Sarrafzadegan, Nizal
author_facet Khosravi-Boroujeni, Hossein
Ahmed, Faruk
Sadeghi, Masoumeh
Roohafza, Hamidreza
Talaei, Mohammad
Dianatkhah, Minoo
Pourmogaddas, Ali
Sarrafzadegan, Nizal
author_sort Khosravi-Boroujeni, Hossein
collection PubMed
description BACKGROUND: Metabolic Syndrome (MetS) is a complex disorder which increases the risk of chronic diseases, including cardiovascular diseases and diabetes mellitus. As a result of modern lifestyles, the prevalence of MetS has been rising globally. This study aims to investigate whether overall prevalence of MetS varies when using different definitions of MetS and to identify the best and most predictive definition of the MetS for cardiovascular disease (CVD) events over 10 years in a cohort of an Iranian population. METHOD: Adults aged ≥ 35 years from urban and rural regions in central Iran were selected at baseline and followed up for more than 10 years. Data on socio-demographic characteristics, anthropometry, blood pressure and smoking status were collected at baseline. In addition, various biochemical indices were assessed. MetS was defined based on five available definitions, and cardiovascular events during 10 years follow up were confirmed by an expert group. The hazard ratios were calculated by the Cox proportional hazards model. RESULTS: The highest prevalence of MetS was observed by using AHA-NHBI definition (36.9 %), followed by JIS definition (31.2 %). On the other hand, EGIR (8.8 %) provided the lowest prevalence. The risk of developing CVD, irrespective of definitions, was approximately two fold higher in the presence of MetS. After controlling for possible confounders, AHA-NHBI definition was found to be the best predictor of CVD. CONCLUSION: This study demonstrated a great variability in the prevalence of MetS among Iranian adults when using different definitions of MetS. CVD risk was significantly higher in MetS participants, as well as in participants with any risk factors of MetS; however, the AHA-NHBI definition was found to be the best predictor of CVD. Thus protective measures, including lifestyle modifications, plus control of individual risk factors is necessary to prevent cardiovascular events.
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spelling pubmed-46963312015-12-31 Does the impact of metabolic syndrome on cardiovascular events vary by using different definitions? Khosravi-Boroujeni, Hossein Ahmed, Faruk Sadeghi, Masoumeh Roohafza, Hamidreza Talaei, Mohammad Dianatkhah, Minoo Pourmogaddas, Ali Sarrafzadegan, Nizal BMC Public Health Research Article BACKGROUND: Metabolic Syndrome (MetS) is a complex disorder which increases the risk of chronic diseases, including cardiovascular diseases and diabetes mellitus. As a result of modern lifestyles, the prevalence of MetS has been rising globally. This study aims to investigate whether overall prevalence of MetS varies when using different definitions of MetS and to identify the best and most predictive definition of the MetS for cardiovascular disease (CVD) events over 10 years in a cohort of an Iranian population. METHOD: Adults aged ≥ 35 years from urban and rural regions in central Iran were selected at baseline and followed up for more than 10 years. Data on socio-demographic characteristics, anthropometry, blood pressure and smoking status were collected at baseline. In addition, various biochemical indices were assessed. MetS was defined based on five available definitions, and cardiovascular events during 10 years follow up were confirmed by an expert group. The hazard ratios were calculated by the Cox proportional hazards model. RESULTS: The highest prevalence of MetS was observed by using AHA-NHBI definition (36.9 %), followed by JIS definition (31.2 %). On the other hand, EGIR (8.8 %) provided the lowest prevalence. The risk of developing CVD, irrespective of definitions, was approximately two fold higher in the presence of MetS. After controlling for possible confounders, AHA-NHBI definition was found to be the best predictor of CVD. CONCLUSION: This study demonstrated a great variability in the prevalence of MetS among Iranian adults when using different definitions of MetS. CVD risk was significantly higher in MetS participants, as well as in participants with any risk factors of MetS; however, the AHA-NHBI definition was found to be the best predictor of CVD. Thus protective measures, including lifestyle modifications, plus control of individual risk factors is necessary to prevent cardiovascular events. BioMed Central 2015-12-29 /pmc/articles/PMC4696331/ /pubmed/26715355 http://dx.doi.org/10.1186/s12889-015-2623-3 Text en © Khosravi-Boroujeni et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Khosravi-Boroujeni, Hossein
Ahmed, Faruk
Sadeghi, Masoumeh
Roohafza, Hamidreza
Talaei, Mohammad
Dianatkhah, Minoo
Pourmogaddas, Ali
Sarrafzadegan, Nizal
Does the impact of metabolic syndrome on cardiovascular events vary by using different definitions?
title Does the impact of metabolic syndrome on cardiovascular events vary by using different definitions?
title_full Does the impact of metabolic syndrome on cardiovascular events vary by using different definitions?
title_fullStr Does the impact of metabolic syndrome on cardiovascular events vary by using different definitions?
title_full_unstemmed Does the impact of metabolic syndrome on cardiovascular events vary by using different definitions?
title_short Does the impact of metabolic syndrome on cardiovascular events vary by using different definitions?
title_sort does the impact of metabolic syndrome on cardiovascular events vary by using different definitions?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696331/
https://www.ncbi.nlm.nih.gov/pubmed/26715355
http://dx.doi.org/10.1186/s12889-015-2623-3
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