Association of metabolic syndrome with TyG index and TyG-related parameters in an urban Chinese population: a 15-year prospective study

Abstract Background The metabolic syndrome (Mets) is a multiplex risk factor for atherosclerotic cardiovascular diseases. The aims of the study were to assess the association of the Mets with TyG index and TyG-related parameters in an urban Chinese population. Methods The data were collected in 1992...

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Main Authors: Xin Zhang, Ting Zhang, Sen He, Shanshan Jia, Zhipeng Zhang, Runyu Ye, Xiangyu Yang, Xiaoping Chen
Format: Article
Language:English
Published: BMC 2022-06-01
Series:Diabetology & Metabolic Syndrome
Subjects:
Online Access:https://doi.org/10.1186/s13098-022-00855-4
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author Xin Zhang
Ting Zhang
Sen He
Shanshan Jia
Zhipeng Zhang
Runyu Ye
Xiangyu Yang
Xiaoping Chen
author_facet Xin Zhang
Ting Zhang
Sen He
Shanshan Jia
Zhipeng Zhang
Runyu Ye
Xiangyu Yang
Xiaoping Chen
author_sort Xin Zhang
collection DOAJ
description Abstract Background The metabolic syndrome (Mets) is a multiplex risk factor for atherosclerotic cardiovascular diseases. The aims of the study were to assess the association of the Mets with TyG index and TyG-related parameters in an urban Chinese population. Methods The data were collected in 1992 and then again in 2007 from the same group of 590 individuals (363 males and 227 females) without Mets in 1992. The fasting lipid profile and blood glucose were measured. TyG index and related parameters were calculated, and Mets defined according to the harmonized criteria. The area under the curve (AUC) of receiver operating characteristic curves was used to evaluate TyG index and related parameters for their diagnostic ability to identify people with Mets. Odd ratios (OR) for Mets prediction were calculated using stepwise logistic regression analyses. Results The incidence of Mets was 18.64% over the 15-year follow-up period.During 15 years’ follow-up, TyG-waist to height ratio (TyG-WHtR) shows the largest AUC for Mets detection (0.686) followed by TyG-waist circumference (TyG-WC) (0.660), TyG-waist-to-hip ratio (TyG-WHpR) (0.564), and TyG index (0.556) in all participants. Gender analysis revealed that TyG-WHtR and TyG-WC have the largest AUC in both genders. TyG-WHtR significantly predicted Mets in all participants, with an unadjusted odds ratio of 5.63 (95% CI 3.23–9.83 P < 0.001). Associations remained significant after adjustment for smoking, drinking, physical exercise and components of Mets. Conclusions TyG-WHtR might be a strong and independent predictor for Mets in all participants in an urban Chinese population. TyG-related markers that combine obesity markers with TyG index are superior to other parameters in identifying Mets in both genders.
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spelling doaj.art-e2266a7b24c74fb7abad604e0eae8ce02022-12-22T00:24:40ZengBMCDiabetology & Metabolic Syndrome1758-59962022-06-011411810.1186/s13098-022-00855-4Association of metabolic syndrome with TyG index and TyG-related parameters in an urban Chinese population: a 15-year prospective studyXin Zhang0Ting Zhang1Sen He2Shanshan Jia3Zhipeng Zhang4Runyu Ye5Xiangyu Yang6Xiaoping Chen7Department of Cardiology, West China Hospital, Sichuan UniversityDepartment of Cardiology, West China Hospital, Sichuan UniversityDepartment of Cardiology, West China Hospital, Sichuan UniversityDepartment of Cardiology, West China Hospital, Sichuan UniversityDepartment of Cardiology, West China Hospital, Sichuan UniversityDepartment of Cardiology, West China Hospital, Sichuan UniversityDepartment of Cardiology, West China Hospital, Sichuan UniversityDepartment of Cardiology, West China Hospital, Sichuan UniversityAbstract Background The metabolic syndrome (Mets) is a multiplex risk factor for atherosclerotic cardiovascular diseases. The aims of the study were to assess the association of the Mets with TyG index and TyG-related parameters in an urban Chinese population. Methods The data were collected in 1992 and then again in 2007 from the same group of 590 individuals (363 males and 227 females) without Mets in 1992. The fasting lipid profile and blood glucose were measured. TyG index and related parameters were calculated, and Mets defined according to the harmonized criteria. The area under the curve (AUC) of receiver operating characteristic curves was used to evaluate TyG index and related parameters for their diagnostic ability to identify people with Mets. Odd ratios (OR) for Mets prediction were calculated using stepwise logistic regression analyses. Results The incidence of Mets was 18.64% over the 15-year follow-up period.During 15 years’ follow-up, TyG-waist to height ratio (TyG-WHtR) shows the largest AUC for Mets detection (0.686) followed by TyG-waist circumference (TyG-WC) (0.660), TyG-waist-to-hip ratio (TyG-WHpR) (0.564), and TyG index (0.556) in all participants. Gender analysis revealed that TyG-WHtR and TyG-WC have the largest AUC in both genders. TyG-WHtR significantly predicted Mets in all participants, with an unadjusted odds ratio of 5.63 (95% CI 3.23–9.83 P < 0.001). Associations remained significant after adjustment for smoking, drinking, physical exercise and components of Mets. Conclusions TyG-WHtR might be a strong and independent predictor for Mets in all participants in an urban Chinese population. TyG-related markers that combine obesity markers with TyG index are superior to other parameters in identifying Mets in both genders.https://doi.org/10.1186/s13098-022-00855-4Metabolic syndromeTyG indexTyG-related parametersObesity markersChinese population
spellingShingle Xin Zhang
Ting Zhang
Sen He
Shanshan Jia
Zhipeng Zhang
Runyu Ye
Xiangyu Yang
Xiaoping Chen
Association of metabolic syndrome with TyG index and TyG-related parameters in an urban Chinese population: a 15-year prospective study
Diabetology & Metabolic Syndrome
Metabolic syndrome
TyG index
TyG-related parameters
Obesity markers
Chinese population
title Association of metabolic syndrome with TyG index and TyG-related parameters in an urban Chinese population: a 15-year prospective study
title_full Association of metabolic syndrome with TyG index and TyG-related parameters in an urban Chinese population: a 15-year prospective study
title_fullStr Association of metabolic syndrome with TyG index and TyG-related parameters in an urban Chinese population: a 15-year prospective study
title_full_unstemmed Association of metabolic syndrome with TyG index and TyG-related parameters in an urban Chinese population: a 15-year prospective study
title_short Association of metabolic syndrome with TyG index and TyG-related parameters in an urban Chinese population: a 15-year prospective study
title_sort association of metabolic syndrome with tyg index and tyg related parameters in an urban chinese population a 15 year prospective study
topic Metabolic syndrome
TyG index
TyG-related parameters
Obesity markers
Chinese population
url https://doi.org/10.1186/s13098-022-00855-4
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