Comparison of the accuracy of three diagnostic criteria and estimating the prevalence of metabolic syndrome: A latent class analysis

BACKGROUND: Metabolic syndrome (MetS) is a growing public health problem with a worldwide distribution, and its prevalence is rapidly increasing worldwide. Hence, this study aimed to compare the prevalence of MetS based on the International Diabetes Federation (IDF), the National Cholesterol Educati...

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Autores principales: Ebrahimi, Hossein, Emamian, Mohammad Hassan, Khosravi, Ahmad, Hashemi, Hassan, Fotouhi, Akbar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950349/
https://www.ncbi.nlm.nih.gov/pubmed/31949459
http://dx.doi.org/10.4103/jrms.JRMS_858_18
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author Ebrahimi, Hossein
Emamian, Mohammad Hassan
Khosravi, Ahmad
Hashemi, Hassan
Fotouhi, Akbar
author_facet Ebrahimi, Hossein
Emamian, Mohammad Hassan
Khosravi, Ahmad
Hashemi, Hassan
Fotouhi, Akbar
author_sort Ebrahimi, Hossein
collection PubMed
description BACKGROUND: Metabolic syndrome (MetS) is a growing public health problem with a worldwide distribution, and its prevalence is rapidly increasing worldwide. Hence, this study aimed to compare the prevalence of MetS based on the International Diabetes Federation (IDF), the National Cholesterol Education Program Expert Panel Adult Treatment Panel III (NCEP ATP III), and the American Association of Clinical Endocrinologists (AACE) diagnostic criteria. MATERIALS AND METHODS: In this cross-sectional study, a total of 4737 people aged 45–69 years were enrolled in the 2(nd) phase of Shahroud Eye Cohort Study. We evaluated the prevalence of MetS with 95% confidence intervals by age and sex groups and according to MetS components. The accuracy (sensitivity and specificity) of these three methods was compared using latent class analysis. Finally, kappa statistic was used to determine the agreement between the diagnostic methods. RESULTS: The prevalence of MetS varied from a minimum of 47.2% (as defined by the AACE) to a maximum of 60.0% (as defined by the IDF). The sensitivity of the three diagnostic methods of IDF, NCEP ATP III, and AACE was 98.9%, 94.4%, and 91.1%, respectively, and the specificity of these three methods was 94.6%, 97.0%, and 98.4%, respectively. Moreover, the highest agreement was found between the definition of the IDF and the NCEP ATP III. CONCLUSION: The IDF diagnostic method has a higher sensitivity for the diagnosis of MetS in Iranian middle-aged people. It is recommended to use this method for identifying more people at risk of MetS.
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spelling pubmed-69503492020-01-16 Comparison of the accuracy of three diagnostic criteria and estimating the prevalence of metabolic syndrome: A latent class analysis Ebrahimi, Hossein Emamian, Mohammad Hassan Khosravi, Ahmad Hashemi, Hassan Fotouhi, Akbar J Res Med Sci Original Article BACKGROUND: Metabolic syndrome (MetS) is a growing public health problem with a worldwide distribution, and its prevalence is rapidly increasing worldwide. Hence, this study aimed to compare the prevalence of MetS based on the International Diabetes Federation (IDF), the National Cholesterol Education Program Expert Panel Adult Treatment Panel III (NCEP ATP III), and the American Association of Clinical Endocrinologists (AACE) diagnostic criteria. MATERIALS AND METHODS: In this cross-sectional study, a total of 4737 people aged 45–69 years were enrolled in the 2(nd) phase of Shahroud Eye Cohort Study. We evaluated the prevalence of MetS with 95% confidence intervals by age and sex groups and according to MetS components. The accuracy (sensitivity and specificity) of these three methods was compared using latent class analysis. Finally, kappa statistic was used to determine the agreement between the diagnostic methods. RESULTS: The prevalence of MetS varied from a minimum of 47.2% (as defined by the AACE) to a maximum of 60.0% (as defined by the IDF). The sensitivity of the three diagnostic methods of IDF, NCEP ATP III, and AACE was 98.9%, 94.4%, and 91.1%, respectively, and the specificity of these three methods was 94.6%, 97.0%, and 98.4%, respectively. Moreover, the highest agreement was found between the definition of the IDF and the NCEP ATP III. CONCLUSION: The IDF diagnostic method has a higher sensitivity for the diagnosis of MetS in Iranian middle-aged people. It is recommended to use this method for identifying more people at risk of MetS. Wolters Kluwer - Medknow 2019-12-23 /pmc/articles/PMC6950349/ /pubmed/31949459 http://dx.doi.org/10.4103/jrms.JRMS_858_18 Text en Copyright: © 2019 Journal of Research in Medical Sciences http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Ebrahimi, Hossein
Emamian, Mohammad Hassan
Khosravi, Ahmad
Hashemi, Hassan
Fotouhi, Akbar
Comparison of the accuracy of three diagnostic criteria and estimating the prevalence of metabolic syndrome: A latent class analysis
title Comparison of the accuracy of three diagnostic criteria and estimating the prevalence of metabolic syndrome: A latent class analysis
title_full Comparison of the accuracy of three diagnostic criteria and estimating the prevalence of metabolic syndrome: A latent class analysis
title_fullStr Comparison of the accuracy of three diagnostic criteria and estimating the prevalence of metabolic syndrome: A latent class analysis
title_full_unstemmed Comparison of the accuracy of three diagnostic criteria and estimating the prevalence of metabolic syndrome: A latent class analysis
title_short Comparison of the accuracy of three diagnostic criteria and estimating the prevalence of metabolic syndrome: A latent class analysis
title_sort comparison of the accuracy of three diagnostic criteria and estimating the prevalence of metabolic syndrome: a latent class analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950349/
https://www.ncbi.nlm.nih.gov/pubmed/31949459
http://dx.doi.org/10.4103/jrms.JRMS_858_18
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