Evaluation of Eight Anthropometric Indices for Identification of Metabolic Syndrome in Adults with Diabetes

Xintong Guo,1 Qinpei Ding,1 Min Liang2 1Guangxi Medical University, Nanning, Guangxi Province, People’s Republic of China; 2Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, People’s Republic of ChinaCorrespondenc...

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Autores principales:	Guo X, Ding Q, Liang M
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2021
Materias:	metabolic syndrome anthropometric indices diabetes Specialties of internal medicine RC581-951
Acceso en línea:	https://doaj.org/article/dabe59d1253042a88cf3d8a5f0535fbb
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spelling	oai:doaj.org-article:dabe59d1253042a88cf3d8a5f0535fbb2021-12-02T15:59:21ZEvaluation of Eight Anthropometric Indices for Identification of Metabolic Syndrome in Adults with Diabetes1178-7007https://doaj.org/article/dabe59d1253042a88cf3d8a5f0535fbb2021-03-01T00:00:00Zhttps://www.dovepress.com/evaluation-of-eight-anthropometric-indices-for-identification-of-metab-peer-reviewed-article-DMSOhttps://doaj.org/toc/1178-7007Xintong Guo,1 Qinpei Ding,1 Min Liang2 1Guangxi Medical University, Nanning, Guangxi Province, People’s Republic of China; 2Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, People’s Republic of ChinaCorrespondence: Min LiangDepartment of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of ChinaTel +138-7883-8907Email liangm@gxmu.edu.cnPurpose: Several previous reports have highlighted the association between adiposity and risk of metabolic syndrome (MetS). Although it is necessary to identify which adiposity indices are best suited to identify MetS, no such study has been completed in diabetic patients. The aim of this study was to evaluate the ability of eight anthropometric indices to identify MetS in diabetic, middle-aged and elderly Chinese patients.Patients and Methods: A cross-sectional study was conducted in 906 type 2 diabetic patients in Guangxi.Results: The highest odds ratios for the identification of MetS were identified with CUN-BAE (OR = 28.306). The largest areas under the curve (AUCs) were observed for WHtR and BRI in men aged 40– 59; CUN-BAE in men aged 60 and over; WHtR, BRI, and TyG in women aged 40– 59; and BMI for women aged 60 and over. The weakest indicator for the screening of MetS in type 2 diabetes was the ABSI.Conclusion: The most effective anthropometric indicator for the identification of MetS varied across sex and age subgroups.Keywords: metabolic syndrome, anthropometric indices, diabetesGuo XDing QLiang MDove Medical Pressarticlemetabolic syndromeanthropometric indicesdiabetesSpecialties of internal medicineRC581-951ENDiabetes, Metabolic Syndrome and Obesity: Targets and Therapy, Vol Volume 14, Pp 1431-1443 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	metabolic syndrome anthropometric indices diabetes Specialties of internal medicine RC581-951
spellingShingle	metabolic syndrome anthropometric indices diabetes Specialties of internal medicine RC581-951 Guo X Ding Q Liang M Evaluation of Eight Anthropometric Indices for Identification of Metabolic Syndrome in Adults with Diabetes
description	Xintong Guo,1 Qinpei Ding,1 Min Liang2 1Guangxi Medical University, Nanning, Guangxi Province, People’s Republic of China; 2Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, People’s Republic of ChinaCorrespondence: Min LiangDepartment of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of ChinaTel +138-7883-8907Email liangm@gxmu.edu.cnPurpose: Several previous reports have highlighted the association between adiposity and risk of metabolic syndrome (MetS). Although it is necessary to identify which adiposity indices are best suited to identify MetS, no such study has been completed in diabetic patients. The aim of this study was to evaluate the ability of eight anthropometric indices to identify MetS in diabetic, middle-aged and elderly Chinese patients.Patients and Methods: A cross-sectional study was conducted in 906 type 2 diabetic patients in Guangxi.Results: The highest odds ratios for the identification of MetS were identified with CUN-BAE (OR = 28.306). The largest areas under the curve (AUCs) were observed for WHtR and BRI in men aged 40– 59; CUN-BAE in men aged 60 and over; WHtR, BRI, and TyG in women aged 40– 59; and BMI for women aged 60 and over. The weakest indicator for the screening of MetS in type 2 diabetes was the ABSI.Conclusion: The most effective anthropometric indicator for the identification of MetS varied across sex and age subgroups.Keywords: metabolic syndrome, anthropometric indices, diabetes
format	article
author	Guo X Ding Q Liang M
author_facet	Guo X Ding Q Liang M
author_sort	Guo X
title	Evaluation of Eight Anthropometric Indices for Identification of Metabolic Syndrome in Adults with Diabetes
title_short	Evaluation of Eight Anthropometric Indices for Identification of Metabolic Syndrome in Adults with Diabetes
title_full	Evaluation of Eight Anthropometric Indices for Identification of Metabolic Syndrome in Adults with Diabetes
title_fullStr	Evaluation of Eight Anthropometric Indices for Identification of Metabolic Syndrome in Adults with Diabetes
title_full_unstemmed	Evaluation of Eight Anthropometric Indices for Identification of Metabolic Syndrome in Adults with Diabetes
title_sort	evaluation of eight anthropometric indices for identification of metabolic syndrome in adults with diabetes
publisher	Dove Medical Press
publishDate	2021
url	https://doaj.org/article/dabe59d1253042a88cf3d8a5f0535fbb
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_version_	1718385361390927872

Evaluation of Eight Anthropometric Indices for Identification of Metabolic Syndrome in Adults with Diabetes

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