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Effect of age on the phenotype of metabolic syndrome in developing country

BACKGROUND: This study aimed to determine how age groups effect on the phenotype of metabolic syndrome (MetS) among Iranian population. MATERIALS AND METHODS: This cross-sectional study was conducted as part of Isfahan Healthy Heart Program. Height, weight, waist circumference, and blood pressure we...

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Autores principales: Gharipour, Mojgan, Sadeghi, Masoumeh, Hosseini, Mohsen, Andalib, Elham, Boroujeni, Maraym Bakhtiari, Sarrafzadegan, Nizal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4513307/
https://www.ncbi.nlm.nih.gov/pubmed/26261805
http://dx.doi.org/10.4103/2277-9175.157796
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author Gharipour, Mojgan
Sadeghi, Masoumeh
Hosseini, Mohsen
Andalib, Elham
Boroujeni, Maraym Bakhtiari
Sarrafzadegan, Nizal
author_facet Gharipour, Mojgan
Sadeghi, Masoumeh
Hosseini, Mohsen
Andalib, Elham
Boroujeni, Maraym Bakhtiari
Sarrafzadegan, Nizal
author_sort Gharipour, Mojgan
collection PubMed
description BACKGROUND: This study aimed to determine how age groups effect on the phenotype of metabolic syndrome (MetS) among Iranian population. MATERIALS AND METHODS: This cross-sectional study was conducted as part of Isfahan Healthy Heart Program. Height, weight, waist circumference, and blood pressure were measured by trained health-care professionals. MetS was defined as having three or more of the National Cholesterol Education Program III criteria. The relation between different age groups and different phenotypes of MetS was examined using the multinomial logistic regression. RESULTS: We found low high-density lipoprotein-cholesterol (HDL-c) was the most common feature, followed by hypertriglyceridemia (HTG), abdominal obesity (ABO), hypertension (HTN), and high fasting blood glucose in decreasing order of prevalence. The most prevalent combination of MetS components was hypertrigeceridemia, low HDL-c and ABO (50.7%) in all subjects and especially in younger age group (63.2%). In elder age group, the most prevalent three components combination was HTG, Low HDL-c and HTN (43.9%). Logistic regression analysis demonstrated that elder subjects were at approximately 12 times higher risk of having the combination HTG, ABO, low HDL-c, and HTN (P < 0.001) compared to the middle age subjects who had a lower risk for the same combination; (2 [1.49-3.49]) (P < 0.001). CONCLUSION: This study provides a nationally representative estimate of the prevalence of different phenotypes of MetS across different age groups. Regarding different phenotypes of MetS in various age groups need to have important implications in the clinical management of these patients and the implementation of public health.
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spelling pubmed-45133072015-08-10 Effect of age on the phenotype of metabolic syndrome in developing country Gharipour, Mojgan Sadeghi, Masoumeh Hosseini, Mohsen Andalib, Elham Boroujeni, Maraym Bakhtiari Sarrafzadegan, Nizal Adv Biomed Res Original Article BACKGROUND: This study aimed to determine how age groups effect on the phenotype of metabolic syndrome (MetS) among Iranian population. MATERIALS AND METHODS: This cross-sectional study was conducted as part of Isfahan Healthy Heart Program. Height, weight, waist circumference, and blood pressure were measured by trained health-care professionals. MetS was defined as having three or more of the National Cholesterol Education Program III criteria. The relation between different age groups and different phenotypes of MetS was examined using the multinomial logistic regression. RESULTS: We found low high-density lipoprotein-cholesterol (HDL-c) was the most common feature, followed by hypertriglyceridemia (HTG), abdominal obesity (ABO), hypertension (HTN), and high fasting blood glucose in decreasing order of prevalence. The most prevalent combination of MetS components was hypertrigeceridemia, low HDL-c and ABO (50.7%) in all subjects and especially in younger age group (63.2%). In elder age group, the most prevalent three components combination was HTG, Low HDL-c and HTN (43.9%). Logistic regression analysis demonstrated that elder subjects were at approximately 12 times higher risk of having the combination HTG, ABO, low HDL-c, and HTN (P < 0.001) compared to the middle age subjects who had a lower risk for the same combination; (2 [1.49-3.49]) (P < 0.001). CONCLUSION: This study provides a nationally representative estimate of the prevalence of different phenotypes of MetS across different age groups. Regarding different phenotypes of MetS in various age groups need to have important implications in the clinical management of these patients and the implementation of public health. Medknow Publications & Media Pvt Ltd 2015-05-29 /pmc/articles/PMC4513307/ /pubmed/26261805 http://dx.doi.org/10.4103/2277-9175.157796 Text en Copyright: © 2015 Gharipour. http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Article
Gharipour, Mojgan
Sadeghi, Masoumeh
Hosseini, Mohsen
Andalib, Elham
Boroujeni, Maraym Bakhtiari
Sarrafzadegan, Nizal
Effect of age on the phenotype of metabolic syndrome in developing country
title Effect of age on the phenotype of metabolic syndrome in developing country
title_full Effect of age on the phenotype of metabolic syndrome in developing country
title_fullStr Effect of age on the phenotype of metabolic syndrome in developing country
title_full_unstemmed Effect of age on the phenotype of metabolic syndrome in developing country
title_short Effect of age on the phenotype of metabolic syndrome in developing country
title_sort effect of age on the phenotype of metabolic syndrome in developing country
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4513307/
https://www.ncbi.nlm.nih.gov/pubmed/26261805
http://dx.doi.org/10.4103/2277-9175.157796
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