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Interest of the waist-to-height ratio to predict metabolic syndrome in type 2 diabeticpatients.

Introduction : Metabolic syndrome (MetS) is defined as a cluster of risk factors for cardiovascular disease. Aim: To determine the optimal cut-off point of the waist-to-height ratio (WHtR) at which MetS can be identified with maximum sensitivity and specificity in a sample of Tunisian type 2 diabeti...

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Autores principales: Sebai, Imen, Oueslati, Ibtissem, Yazidi, Meriem, Chaker, Fatma, Abdessalem, Haifa, Grira, Wafa, Amrouch, Chiraz, Chihaoui, Melika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tunisian Society of Medical Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274779/
https://www.ncbi.nlm.nih.gov/pubmed/35852248
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author Sebai, Imen
Oueslati, Ibtissem
Yazidi, Meriem
Chaker, Fatma
Abdessalem, Haifa
Grira, Wafa
Amrouch, Chiraz
Chihaoui, Melika
author_facet Sebai, Imen
Oueslati, Ibtissem
Yazidi, Meriem
Chaker, Fatma
Abdessalem, Haifa
Grira, Wafa
Amrouch, Chiraz
Chihaoui, Melika
author_sort Sebai, Imen
collection PubMed
description Introduction : Metabolic syndrome (MetS) is defined as a cluster of risk factors for cardiovascular disease. Aim: To determine the optimal cut-off point of the waist-to-height ratio (WHtR) at which MetS can be identified with maximum sensitivity and specificity in a sample of Tunisian type 2 diabetic patients. Methods: We enrolled 457 type 2 diabetic patients in a cross-sectional study. Blood pressure, anthropometric indices, fasting glucose, and lipid profile were measured. WHtR was calculated. MetS was defined according to the IDF criteria. Receiver operating characteristic (ROC) curve analysis was used to identify the optimal cut-off value of WHtR in MetS screening with maximum sensitivity and specificity. Results: The overall prevalence of MetS was 79.8%, it was higher in women than in men (85.5% vs 61.4%; p<10(-3)). Macrovascular complications were significantly higher among patients with MetS. WHtR was more powerful for predicting MetS in men than in women (Area under ROC curve was 0.913 and 0.761 respectively). The optimal WHtR cut-off value to identify subjects with MetS was 0.55 in men and 0.63 in women. Conclusion: MetS is a common finding in patients with type 2 diabetes mellitus. WHtR was an ideal tool to predict MetS in men but not in women. Prospective studies with larger cohorts may be required to determine the validity of our results.
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spelling pubmed-92747792022-07-25 Interest of the waist-to-height ratio to predict metabolic syndrome in type 2 diabeticpatients. Sebai, Imen Oueslati, Ibtissem Yazidi, Meriem Chaker, Fatma Abdessalem, Haifa Grira, Wafa Amrouch, Chiraz Chihaoui, Melika Tunis Med Article Introduction : Metabolic syndrome (MetS) is defined as a cluster of risk factors for cardiovascular disease. Aim: To determine the optimal cut-off point of the waist-to-height ratio (WHtR) at which MetS can be identified with maximum sensitivity and specificity in a sample of Tunisian type 2 diabetic patients. Methods: We enrolled 457 type 2 diabetic patients in a cross-sectional study. Blood pressure, anthropometric indices, fasting glucose, and lipid profile were measured. WHtR was calculated. MetS was defined according to the IDF criteria. Receiver operating characteristic (ROC) curve analysis was used to identify the optimal cut-off value of WHtR in MetS screening with maximum sensitivity and specificity. Results: The overall prevalence of MetS was 79.8%, it was higher in women than in men (85.5% vs 61.4%; p<10(-3)). Macrovascular complications were significantly higher among patients with MetS. WHtR was more powerful for predicting MetS in men than in women (Area under ROC curve was 0.913 and 0.761 respectively). The optimal WHtR cut-off value to identify subjects with MetS was 0.55 in men and 0.63 in women. Conclusion: MetS is a common finding in patients with type 2 diabetes mellitus. WHtR was an ideal tool to predict MetS in men but not in women. Prospective studies with larger cohorts may be required to determine the validity of our results. Tunisian Society of Medical Sciences 2022-02 2022-02-01 /pmc/articles/PMC9274779/ /pubmed/35852248 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
Sebai, Imen
Oueslati, Ibtissem
Yazidi, Meriem
Chaker, Fatma
Abdessalem, Haifa
Grira, Wafa
Amrouch, Chiraz
Chihaoui, Melika
Interest of the waist-to-height ratio to predict metabolic syndrome in type 2 diabeticpatients.
title Interest of the waist-to-height ratio to predict metabolic syndrome in type 2 diabeticpatients.
title_full Interest of the waist-to-height ratio to predict metabolic syndrome in type 2 diabeticpatients.
title_fullStr Interest of the waist-to-height ratio to predict metabolic syndrome in type 2 diabeticpatients.
title_full_unstemmed Interest of the waist-to-height ratio to predict metabolic syndrome in type 2 diabeticpatients.
title_short Interest of the waist-to-height ratio to predict metabolic syndrome in type 2 diabeticpatients.
title_sort interest of the waist-to-height ratio to predict metabolic syndrome in type 2 diabeticpatients.
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274779/
https://www.ncbi.nlm.nih.gov/pubmed/35852248
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