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Epidémiologie du syndrome métabolique en Tunisie. Etude HSHS* 5

Objective: To measure the prevalence of metabolic syndrome and its components in the HSHS cohort (Hammam Sousse, Tunisia), in 2009, and to identify its determining factors. Methods: This was a descriptive epidemiological study of the “community based” type having focused on a random sample of people...

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Autores principales: Daouas, Asma, Ben Abdelaziz, Asma, Zanina, Youssef, Yahia, Faten, Ben Hassine, Donia, Melki, Sarra, Khelil, Mohamed, Ben Rejeb, Nabila, Omezzine, Asma, Bouslama, Ali, Ben Abdelaziz, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tunisian Society of Medical Sciences 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793101/
https://www.ncbi.nlm.nih.gov/pubmed/36571727
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author Daouas, Asma
Ben Abdelaziz, Asma
Zanina, Youssef
Yahia, Faten
Ben Hassine, Donia
Melki, Sarra
Khelil, Mohamed
Ben Rejeb, Nabila
Omezzine, Asma
Bouslama, Ali
Ben Abdelaziz, Ahmed
author_facet Daouas, Asma
Ben Abdelaziz, Asma
Zanina, Youssef
Yahia, Faten
Ben Hassine, Donia
Melki, Sarra
Khelil, Mohamed
Ben Rejeb, Nabila
Omezzine, Asma
Bouslama, Ali
Ben Abdelaziz, Ahmed
author_sort Daouas, Asma
collection PubMed
description Objective: To measure the prevalence of metabolic syndrome and its components in the HSHS cohort (Hammam Sousse, Tunisia), in 2009, and to identify its determining factors. Methods: This was a descriptive epidemiological study of the “community based” type having focused on a random sample of people aged 20 and over. The metabolic syndrome was defined according to the criteria of the “International Diabetes Federation” (IDF 2005) and those of the “National Cholesterol Education Program-Adult Treatment Panel III” (NCEP-ATP III, 2001). Results: The study involved 1441 people including 960 women (66.6%). The age- and sex-adjusted prevalences of increased waist circumference, blood pressure, blood sugar and triglycerides, and decreased HDL-cholesterol were respectively 63.2%, 95%CI[62.5-63.8]; 47.7%, 95%CI[47.4-48.6]; 25.7%, 95%CI[25.1-26.2]; 11.9%, 95%CI[11.4-12.3] and 65,6%, 95%CI[65.0-66.2], according to IDF thresholds and 37.4%, 95%CI[36.3-37.6]; 45.7%, 95%CI[45.4-46.6]; 13.8%, 95%CI[13.4-14.2]; 8.4%, 95%CI[8.0-8.7] and 61.9%, 95%CI[61.2-62.5], according to those of the NCEP-ATP III. The prevalence of metabolic syndrome adjusted for age and sex was 36.5% 95%CI[33.0%-38.9%] according to the IDF definition and 23.0% 95%CI[20.4%-25.6%] according to that of NCEP-ATP III. The multivariate study by logistic regression made it possible to retain three significant independent determining factors of the metabolic syndrome: age ≥40 years, low level of physical activity and family history of diabetes mellitus with respectively adjusted ORs of 3.77 95%CI[2.70-5.27], 1.39 95%CI[1.01-1.89], 1.62 95%CI[1.21-2.15], according to IDF and 5.87 95%CI[3.88 -8.88], 1.47 95%CI[1.07-2.01] and 1.45 95%CI[1.07-1.96], according to NCEP-ATP III . Conclusion: With this high prevalence rate of the metabolic syndrome, the establishment of an action plan would be essential. This plan should be based on the combination of the promotion of physical activity and screening for the components of the metabolic syndrome, particularly in subjects aged 40 or over, with a family history of diabetes mellitus.
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spelling pubmed-97931012023-01-09 Epidémiologie du syndrome métabolique en Tunisie. Etude HSHS* 5 Daouas, Asma Ben Abdelaziz, Asma Zanina, Youssef Yahia, Faten Ben Hassine, Donia Melki, Sarra Khelil, Mohamed Ben Rejeb, Nabila Omezzine, Asma Bouslama, Ali Ben Abdelaziz, Ahmed Tunis Med Article Objective: To measure the prevalence of metabolic syndrome and its components in the HSHS cohort (Hammam Sousse, Tunisia), in 2009, and to identify its determining factors. Methods: This was a descriptive epidemiological study of the “community based” type having focused on a random sample of people aged 20 and over. The metabolic syndrome was defined according to the criteria of the “International Diabetes Federation” (IDF 2005) and those of the “National Cholesterol Education Program-Adult Treatment Panel III” (NCEP-ATP III, 2001). Results: The study involved 1441 people including 960 women (66.6%). The age- and sex-adjusted prevalences of increased waist circumference, blood pressure, blood sugar and triglycerides, and decreased HDL-cholesterol were respectively 63.2%, 95%CI[62.5-63.8]; 47.7%, 95%CI[47.4-48.6]; 25.7%, 95%CI[25.1-26.2]; 11.9%, 95%CI[11.4-12.3] and 65,6%, 95%CI[65.0-66.2], according to IDF thresholds and 37.4%, 95%CI[36.3-37.6]; 45.7%, 95%CI[45.4-46.6]; 13.8%, 95%CI[13.4-14.2]; 8.4%, 95%CI[8.0-8.7] and 61.9%, 95%CI[61.2-62.5], according to those of the NCEP-ATP III. The prevalence of metabolic syndrome adjusted for age and sex was 36.5% 95%CI[33.0%-38.9%] according to the IDF definition and 23.0% 95%CI[20.4%-25.6%] according to that of NCEP-ATP III. The multivariate study by logistic regression made it possible to retain three significant independent determining factors of the metabolic syndrome: age ≥40 years, low level of physical activity and family history of diabetes mellitus with respectively adjusted ORs of 3.77 95%CI[2.70-5.27], 1.39 95%CI[1.01-1.89], 1.62 95%CI[1.21-2.15], according to IDF and 5.87 95%CI[3.88 -8.88], 1.47 95%CI[1.07-2.01] and 1.45 95%CI[1.07-1.96], according to NCEP-ATP III . Conclusion: With this high prevalence rate of the metabolic syndrome, the establishment of an action plan would be essential. This plan should be based on the combination of the promotion of physical activity and screening for the components of the metabolic syndrome, particularly in subjects aged 40 or over, with a family history of diabetes mellitus. Tunisian Society of Medical Sciences 2022-08 2022-08-01 /pmc/articles/PMC9793101/ /pubmed/36571727 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 Unported License. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Article
Daouas, Asma
Ben Abdelaziz, Asma
Zanina, Youssef
Yahia, Faten
Ben Hassine, Donia
Melki, Sarra
Khelil, Mohamed
Ben Rejeb, Nabila
Omezzine, Asma
Bouslama, Ali
Ben Abdelaziz, Ahmed
Epidémiologie du syndrome métabolique en Tunisie. Etude HSHS* 5
title Epidémiologie du syndrome métabolique en Tunisie. Etude HSHS* 5
title_full Epidémiologie du syndrome métabolique en Tunisie. Etude HSHS* 5
title_fullStr Epidémiologie du syndrome métabolique en Tunisie. Etude HSHS* 5
title_full_unstemmed Epidémiologie du syndrome métabolique en Tunisie. Etude HSHS* 5
title_short Epidémiologie du syndrome métabolique en Tunisie. Etude HSHS* 5
title_sort epidémiologie du syndrome métabolique en tunisie. etude hshs* 5
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793101/
https://www.ncbi.nlm.nih.gov/pubmed/36571727
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