Use of Blood Lipid Indicators as a Screening Tool of Insulin Resistance among Individuals in Low-Income Country Sides of China: A Multiethnic Region Study

Objective. This study is aimed at evaluating the diagnostic value of blood lipid indicators (BLIs) for insulin resistance (IR) among major ethnic groups in Xinjiang, China, to identify the most valuable indicators and appropriate cut-off points for each ethnic group and to lay the foundation for the...

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Main Authors: Yi-Zhong Yan, Jia-Ning Fan, Jia-Ming Liu, Yun-hua Hu, Jiao-Long Ma, Jia He, Heng Guo, Xiang-hui Zhang, Xin-ping Wang, Shu-gang Li, Shu-Xia Guo
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Mediators of Inflammation
Online Access:http://dx.doi.org/10.1155/2019/3592620
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author Yi-Zhong Yan
Jia-Ning Fan
Jia-Ming Liu
Yun-hua Hu
Jiao-Long Ma
Jia He
Heng Guo
Xiang-hui Zhang
Xin-ping Wang
Shu-gang Li
Shu-Xia Guo
author_facet Yi-Zhong Yan
Jia-Ning Fan
Jia-Ming Liu
Yun-hua Hu
Jiao-Long Ma
Jia He
Heng Guo
Xiang-hui Zhang
Xin-ping Wang
Shu-gang Li
Shu-Xia Guo
author_sort Yi-Zhong Yan
collection DOAJ
description Objective. This study is aimed at evaluating the diagnostic value of blood lipid indicators (BLIs) for insulin resistance (IR) among major ethnic groups in Xinjiang, China, to identify the most valuable indicators and appropriate cut-off points for each ethnic group and to lay the foundation for the early detection, diagnosis, and treatment of metabolic diseases in remote rural areas. Methods. Overall, 418 Uygurs, 331 Kazakhs, and 220 Hans were randomly included in our study. The homeostasis model assessment was the gold standard for identifying IR. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value, and the nomogram was utilized to analyze the predictive value. The size of the area under the curve (AUC) reflected the accuracy of screening and prediction. Results. Differences in races were observed in terms of IR and BLIs, and the Kazakhs had the highest IR level at 5.27 mmol/L. The correlation between IR and BLIs differed among the three races. For the Kazakhs and Hans, all BLIs, except total cholesterol (TC), were correlated to IR. However, for the Uygurs, only the triglyceride (TG) level, TG/high-density lipoprotein cholesterol (HDL-C) ratio, and TC/HDL-C ratio were associated with IR. After further adjustment of confounding factors, these indicators were still correlated to IR. BLIs that independently correlated to IR in the three nationalities had a certain diagnostic value for IR. In terms of the AUC size, the TG level was the highest in Uygurs, the TG/HDL-C ratio was the highest for Kazakhs and Hans, and the corresponding best cut-off points for IR were 1.515, 1.230, and 1.495 mmol/L, respectively. In addition, for each race, when the indicators with a certain diagnostic value were combined, the diagnostic value for IR was higher. Conclusion. BLIs had a certain diagnostic value for IR and could be used as a screening tool for IR among Uygurs, Kazakhs, and Hans in Xinjiang. These findings are extremely important for the prevention and treatment of IR and metabolic diseases in remote rural areas.
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spelling doaj-art-b31a860cf6d344d3bb7c8dc5bef33a0d2025-02-03T06:07:12ZengWileyMediators of Inflammation0962-93511466-18612019-01-01201910.1155/2019/35926203592620Use of Blood Lipid Indicators as a Screening Tool of Insulin Resistance among Individuals in Low-Income Country Sides of China: A Multiethnic Region StudyYi-Zhong Yan0Jia-Ning Fan1Jia-Ming Liu2Yun-hua Hu3Jiao-Long Ma4Jia He5Heng Guo6Xiang-hui Zhang7Xin-ping Wang8Shu-gang Li9Shu-Xia Guo10Department of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, ChinaDepartment of Public Health, Shihezi University School of Medicine, Shihezi Xinjiang 832002, ChinaObjective. This study is aimed at evaluating the diagnostic value of blood lipid indicators (BLIs) for insulin resistance (IR) among major ethnic groups in Xinjiang, China, to identify the most valuable indicators and appropriate cut-off points for each ethnic group and to lay the foundation for the early detection, diagnosis, and treatment of metabolic diseases in remote rural areas. Methods. Overall, 418 Uygurs, 331 Kazakhs, and 220 Hans were randomly included in our study. The homeostasis model assessment was the gold standard for identifying IR. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value, and the nomogram was utilized to analyze the predictive value. The size of the area under the curve (AUC) reflected the accuracy of screening and prediction. Results. Differences in races were observed in terms of IR and BLIs, and the Kazakhs had the highest IR level at 5.27 mmol/L. The correlation between IR and BLIs differed among the three races. For the Kazakhs and Hans, all BLIs, except total cholesterol (TC), were correlated to IR. However, for the Uygurs, only the triglyceride (TG) level, TG/high-density lipoprotein cholesterol (HDL-C) ratio, and TC/HDL-C ratio were associated with IR. After further adjustment of confounding factors, these indicators were still correlated to IR. BLIs that independently correlated to IR in the three nationalities had a certain diagnostic value for IR. In terms of the AUC size, the TG level was the highest in Uygurs, the TG/HDL-C ratio was the highest for Kazakhs and Hans, and the corresponding best cut-off points for IR were 1.515, 1.230, and 1.495 mmol/L, respectively. In addition, for each race, when the indicators with a certain diagnostic value were combined, the diagnostic value for IR was higher. Conclusion. BLIs had a certain diagnostic value for IR and could be used as a screening tool for IR among Uygurs, Kazakhs, and Hans in Xinjiang. These findings are extremely important for the prevention and treatment of IR and metabolic diseases in remote rural areas.http://dx.doi.org/10.1155/2019/3592620
spellingShingle Yi-Zhong Yan
Jia-Ning Fan
Jia-Ming Liu
Yun-hua Hu
Jiao-Long Ma
Jia He
Heng Guo
Xiang-hui Zhang
Xin-ping Wang
Shu-gang Li
Shu-Xia Guo
Use of Blood Lipid Indicators as a Screening Tool of Insulin Resistance among Individuals in Low-Income Country Sides of China: A Multiethnic Region Study
Mediators of Inflammation
title Use of Blood Lipid Indicators as a Screening Tool of Insulin Resistance among Individuals in Low-Income Country Sides of China: A Multiethnic Region Study
title_full Use of Blood Lipid Indicators as a Screening Tool of Insulin Resistance among Individuals in Low-Income Country Sides of China: A Multiethnic Region Study
title_fullStr Use of Blood Lipid Indicators as a Screening Tool of Insulin Resistance among Individuals in Low-Income Country Sides of China: A Multiethnic Region Study
title_full_unstemmed Use of Blood Lipid Indicators as a Screening Tool of Insulin Resistance among Individuals in Low-Income Country Sides of China: A Multiethnic Region Study
title_short Use of Blood Lipid Indicators as a Screening Tool of Insulin Resistance among Individuals in Low-Income Country Sides of China: A Multiethnic Region Study
title_sort use of blood lipid indicators as a screening tool of insulin resistance among individuals in low income country sides of china a multiethnic region study
url http://dx.doi.org/10.1155/2019/3592620
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