Visceral Obesity-Related Indices in the Identification of Individuals with Metabolic Syndrome Among Different Ethnicities in Xinjiang, China

Xianghui Zhang,1,* Yusong Ding,1,* Yinbao Shao,1 Jia He,1 Jiaolong Ma,1 Heng Guo,1 Mulatibieke Keerman,1 Jiaming Liu,1 Huili Si,2 Shuxia Guo,1,3 Rulin Ma1 1Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People’s Republic of China; 2Department of Neur...

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Main Authors: Zhang X, Ding Y, Shao Y, He J, Ma J, Guo H, Keerman M, Liu J, Si H, Guo S, Ma R
Format: Article
Language:English
Published: Dove Medical Press 2021-04-01
Series:Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy
Subjects:
Online Access:https://www.dovepress.com/visceral-obesity-related-indices-in-the-identification-of-individuals--peer-reviewed-article-DMSO
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spelling doaj-1f1fd7b64b0544b19bc6f67eef1cf30a2021-04-13T18:34:35ZengDove Medical PressDiabetes, Metabolic Syndrome and Obesity : Targets and Therapy1178-70072021-04-01Volume 141609162063787Visceral Obesity-Related Indices in the Identification of Individuals with Metabolic Syndrome Among Different Ethnicities in Xinjiang, ChinaZhang XDing YShao YHe JMa JGuo HKeerman MLiu JSi HGuo SMa RXianghui Zhang,1,* Yusong Ding,1,* Yinbao Shao,1 Jia He,1 Jiaolong Ma,1 Heng Guo,1 Mulatibieke Keerman,1 Jiaming Liu,1 Huili Si,2 Shuxia Guo,1,3 Rulin Ma1 1Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People’s Republic of China; 2Department of Neurology, Shihezi People’s Hospital, Shihezi, Xinjiang, People’s Republic of China; 3Department of Pathology and Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), Shihezi University School of Medicine, Shihezi, Xinjiang, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shuxia GuoDepartment of Public Health, Shihezi University School of Medicine, Suite 721, Building No. 1, Beier Road, Shihezi, 832000, Xinjiang, People’s Republic of ChinaTel +86 1800-9932-625Fax +86 993-2057-153Email gsxshzu@sina.comRulin MaDepartment of Public Health, Shihezi University School of Medicine, Suite 816, Building No. 1, Beier Road, Shihezi, 832000, Xinjiang, People’s Republic of ChinaTel +86 1330-9930-561Fax +86 993-2057-153Email marulin@shzu.edu.cnBackground: Few studies have focused on the predictive ability of visceral obesity-related indices for metabolic syndrome (MetS), especially in different ethnic groups. This study aimed to evaluate the applicability of visceral obesity-related indices for MetS screening among three major ethnic groups living in remote rural areas of Xinjiang.Methods: Based on multistage stratified cluster random sampling method, 3,192 Uyghurs, 3,054 Kazakhs, and 3,658 Hans were recruited from Xinjiang, China. The Joint Interim Statement (JIS) criteria were used to define MetS. The receiver operating characteristic curve (ROC), area under the ROC curve (AUC), and predictive value of each visceral obesity-related index were used to evaluate the predictive ability of MetS.Results: After adjusting for potential confounding factors, the lipid accumulation product (LAP), Chinese visceral adiposity index (CVAI), waist-to-height ratio (WHtR), and atherogenic index of plasma (AIP) were significantly correlated with MetS for each ethnic group, and the odds ratios (ORs) for MetS increased across quartiles. LAP was best able to identify MetS status in Kazakhs (AUC=0.853) and Uyghurs (AUC=0.851), with optimal cut-offs being 36.3 and 28.2, respectively. Both LAP (AUC=0.798) and CVAI (AUC=0.791) most accurately identified MetS status in Hans, with the optimal cut-offs being 27.3 and 85.0, respectively. Moreover, the AUC of the combination of these visceral obesity-related indices is higher for each ethnic group. However, compared with LAP, the improved value of combined screening was not significant.Conclusion: LAP had the best discriminative capability for the screening of MetS among Kazakhs, Uyghurs, and Hans. The screening ability of CVAI for MetS was similar to that of LAP in Hans. Thus, LAP may be a complementary indicator for assessing MetS in various ethnic groups.Keywords: metabolic syndrome, visceral obesity-related indices, screening, ethnic groupshttps://www.dovepress.com/visceral-obesity-related-indices-in-the-identification-of-individuals--peer-reviewed-article-DMSOmetabolic syndromevisceral obesity-related indicesscreeningethnic groups
collection DOAJ
language English
format Article
sources DOAJ
author Zhang X
Ding Y
Shao Y
He J
Ma J
Guo H
Keerman M
Liu J
Si H
Guo S
Ma R
spellingShingle Zhang X
Ding Y
Shao Y
He J
Ma J
Guo H
Keerman M
Liu J
Si H
Guo S
Ma R
Visceral Obesity-Related Indices in the Identification of Individuals with Metabolic Syndrome Among Different Ethnicities in Xinjiang, China
Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy
metabolic syndrome
visceral obesity-related indices
screening
ethnic groups
author_facet Zhang X
Ding Y
Shao Y
He J
Ma J
Guo H
Keerman M
Liu J
Si H
Guo S
Ma R
author_sort Zhang X
title Visceral Obesity-Related Indices in the Identification of Individuals with Metabolic Syndrome Among Different Ethnicities in Xinjiang, China
title_short Visceral Obesity-Related Indices in the Identification of Individuals with Metabolic Syndrome Among Different Ethnicities in Xinjiang, China
title_full Visceral Obesity-Related Indices in the Identification of Individuals with Metabolic Syndrome Among Different Ethnicities in Xinjiang, China
title_fullStr Visceral Obesity-Related Indices in the Identification of Individuals with Metabolic Syndrome Among Different Ethnicities in Xinjiang, China
title_full_unstemmed Visceral Obesity-Related Indices in the Identification of Individuals with Metabolic Syndrome Among Different Ethnicities in Xinjiang, China
title_sort visceral obesity-related indices in the identification of individuals with metabolic syndrome among different ethnicities in xinjiang, china
publisher Dove Medical Press
series Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy
issn 1178-7007
publishDate 2021-04-01
description Xianghui Zhang,1,* Yusong Ding,1,* Yinbao Shao,1 Jia He,1 Jiaolong Ma,1 Heng Guo,1 Mulatibieke Keerman,1 Jiaming Liu,1 Huili Si,2 Shuxia Guo,1,3 Rulin Ma1 1Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People’s Republic of China; 2Department of Neurology, Shihezi People’s Hospital, Shihezi, Xinjiang, People’s Republic of China; 3Department of Pathology and Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), Shihezi University School of Medicine, Shihezi, Xinjiang, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shuxia GuoDepartment of Public Health, Shihezi University School of Medicine, Suite 721, Building No. 1, Beier Road, Shihezi, 832000, Xinjiang, People’s Republic of ChinaTel +86 1800-9932-625Fax +86 993-2057-153Email gsxshzu@sina.comRulin MaDepartment of Public Health, Shihezi University School of Medicine, Suite 816, Building No. 1, Beier Road, Shihezi, 832000, Xinjiang, People’s Republic of ChinaTel +86 1330-9930-561Fax +86 993-2057-153Email marulin@shzu.edu.cnBackground: Few studies have focused on the predictive ability of visceral obesity-related indices for metabolic syndrome (MetS), especially in different ethnic groups. This study aimed to evaluate the applicability of visceral obesity-related indices for MetS screening among three major ethnic groups living in remote rural areas of Xinjiang.Methods: Based on multistage stratified cluster random sampling method, 3,192 Uyghurs, 3,054 Kazakhs, and 3,658 Hans were recruited from Xinjiang, China. The Joint Interim Statement (JIS) criteria were used to define MetS. The receiver operating characteristic curve (ROC), area under the ROC curve (AUC), and predictive value of each visceral obesity-related index were used to evaluate the predictive ability of MetS.Results: After adjusting for potential confounding factors, the lipid accumulation product (LAP), Chinese visceral adiposity index (CVAI), waist-to-height ratio (WHtR), and atherogenic index of plasma (AIP) were significantly correlated with MetS for each ethnic group, and the odds ratios (ORs) for MetS increased across quartiles. LAP was best able to identify MetS status in Kazakhs (AUC=0.853) and Uyghurs (AUC=0.851), with optimal cut-offs being 36.3 and 28.2, respectively. Both LAP (AUC=0.798) and CVAI (AUC=0.791) most accurately identified MetS status in Hans, with the optimal cut-offs being 27.3 and 85.0, respectively. Moreover, the AUC of the combination of these visceral obesity-related indices is higher for each ethnic group. However, compared with LAP, the improved value of combined screening was not significant.Conclusion: LAP had the best discriminative capability for the screening of MetS among Kazakhs, Uyghurs, and Hans. The screening ability of CVAI for MetS was similar to that of LAP in Hans. Thus, LAP may be a complementary indicator for assessing MetS in various ethnic groups.Keywords: metabolic syndrome, visceral obesity-related indices, screening, ethnic groups
topic metabolic syndrome
visceral obesity-related indices
screening
ethnic groups
url https://www.dovepress.com/visceral-obesity-related-indices-in-the-identification-of-individuals--peer-reviewed-article-DMSO
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