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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BMC
2022-06-01
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Series: | Diabetology & Metabolic Syndrome |
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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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