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Relationship of triglyceride-glucose index with cardiometabolic multi-morbidity in China: evidence from a national survey

BACKGROUND: Cardiometabolic multi-morbidity (CMM) is emerging as a global healthcare challenge and a pressing public health concern worldwide. Previous studies have principally focused on identifying risk factors for individual cardiometabolic diseases, but reliable predictors of CMM have not been i...

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Autores principales: Zhang, Zenglei, Zhao, Lin, Lu, Yiting, Meng, Xu, Zhou, Xianliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626797/
https://www.ncbi.nlm.nih.gov/pubmed/37926824
http://dx.doi.org/10.1186/s13098-023-01205-8
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author Zhang, Zenglei
Zhao, Lin
Lu, Yiting
Meng, Xu
Zhou, Xianliang
author_facet Zhang, Zenglei
Zhao, Lin
Lu, Yiting
Meng, Xu
Zhou, Xianliang
author_sort Zhang, Zenglei
collection PubMed
description BACKGROUND: Cardiometabolic multi-morbidity (CMM) is emerging as a global healthcare challenge and a pressing public health concern worldwide. Previous studies have principally focused on identifying risk factors for individual cardiometabolic diseases, but reliable predictors of CMM have not been identified. In the present study, we aimed to characterize the relationship of triglyceride-glucose (TyG) index with the incidence of CMM. METHODS: We enrolled 7,970 participants from the China Health and Retirement Longitudinal Study (CHARLS) and placed them into groups according to quartile of TyG index. The endpoint of interest was CMM, defined as the presence of at least two of the following: stroke, heart disease, and diabetes mellitus. Cox regression models and multivariable-adjusted restricted cubic spline (RCS) curves were used to evaluate the relationship between TyG index and CMM. RESULTS: In total, 638 (8.01%) incident cases of CMM were recorded among the participants who did not have CMM at baseline (2011) during a median follow-up of 84 months (interquartile range, 20‒87 months). The incidences of CMM for the participants in quartiles (Q) 1–4 of TyG index were 4.22%, 6.12%, 8.78%, and 12.60%, respectively. A fully adjusted Cox model showed that TyG index was closely associated with the incidence of CMM: the hazard ratio (HR) [95% confidence interval (CI)] for each 1.0-unit increment in TyG index for CMM was 1.54 (1.29–1.84); and the HRs (95% CIs) for Q3 and Q4 (Q1 as reference) of the TyG index for CMM were 1.41 (1.05–1.90) and 1.61 (1.18–2.20), respectively. The association of TyG index with the incidence of CMM was present in almost all the subgroups, and persisted in the sensitivity analyses and additional analyses. Multivariable-adjusted RCS analysis revealed a significant dose-response relationship of TyG index with the risk of CMM (overall P < 0.001; non-linear P = 0.129). CONCLUSIONS: We found that a high TyG index is associated with a higher risk of incident CMM. This finding may have significance for clinical practice and facilitate the creation of a personalized prevention strategy that involves monitoring the TyG index. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01205-8.
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spelling pubmed-106267972023-11-07 Relationship of triglyceride-glucose index with cardiometabolic multi-morbidity in China: evidence from a national survey Zhang, Zenglei Zhao, Lin Lu, Yiting Meng, Xu Zhou, Xianliang Diabetol Metab Syndr Research BACKGROUND: Cardiometabolic multi-morbidity (CMM) is emerging as a global healthcare challenge and a pressing public health concern worldwide. Previous studies have principally focused on identifying risk factors for individual cardiometabolic diseases, but reliable predictors of CMM have not been identified. In the present study, we aimed to characterize the relationship of triglyceride-glucose (TyG) index with the incidence of CMM. METHODS: We enrolled 7,970 participants from the China Health and Retirement Longitudinal Study (CHARLS) and placed them into groups according to quartile of TyG index. The endpoint of interest was CMM, defined as the presence of at least two of the following: stroke, heart disease, and diabetes mellitus. Cox regression models and multivariable-adjusted restricted cubic spline (RCS) curves were used to evaluate the relationship between TyG index and CMM. RESULTS: In total, 638 (8.01%) incident cases of CMM were recorded among the participants who did not have CMM at baseline (2011) during a median follow-up of 84 months (interquartile range, 20‒87 months). The incidences of CMM for the participants in quartiles (Q) 1–4 of TyG index were 4.22%, 6.12%, 8.78%, and 12.60%, respectively. A fully adjusted Cox model showed that TyG index was closely associated with the incidence of CMM: the hazard ratio (HR) [95% confidence interval (CI)] for each 1.0-unit increment in TyG index for CMM was 1.54 (1.29–1.84); and the HRs (95% CIs) for Q3 and Q4 (Q1 as reference) of the TyG index for CMM were 1.41 (1.05–1.90) and 1.61 (1.18–2.20), respectively. The association of TyG index with the incidence of CMM was present in almost all the subgroups, and persisted in the sensitivity analyses and additional analyses. Multivariable-adjusted RCS analysis revealed a significant dose-response relationship of TyG index with the risk of CMM (overall P < 0.001; non-linear P = 0.129). CONCLUSIONS: We found that a high TyG index is associated with a higher risk of incident CMM. This finding may have significance for clinical practice and facilitate the creation of a personalized prevention strategy that involves monitoring the TyG index. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01205-8. BioMed Central 2023-11-06 /pmc/articles/PMC10626797/ /pubmed/37926824 http://dx.doi.org/10.1186/s13098-023-01205-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Zenglei
Zhao, Lin
Lu, Yiting
Meng, Xu
Zhou, Xianliang
Relationship of triglyceride-glucose index with cardiometabolic multi-morbidity in China: evidence from a national survey
title Relationship of triglyceride-glucose index with cardiometabolic multi-morbidity in China: evidence from a national survey
title_full Relationship of triglyceride-glucose index with cardiometabolic multi-morbidity in China: evidence from a national survey
title_fullStr Relationship of triglyceride-glucose index with cardiometabolic multi-morbidity in China: evidence from a national survey
title_full_unstemmed Relationship of triglyceride-glucose index with cardiometabolic multi-morbidity in China: evidence from a national survey
title_short Relationship of triglyceride-glucose index with cardiometabolic multi-morbidity in China: evidence from a national survey
title_sort relationship of triglyceride-glucose index with cardiometabolic multi-morbidity in china: evidence from a national survey
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626797/
https://www.ncbi.nlm.nih.gov/pubmed/37926824
http://dx.doi.org/10.1186/s13098-023-01205-8
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