Work

Evaluating the associations and predictive performance of triglyceride-glucose index and related indicators for chronic diseases in a Chinese cohort

Year: 2025
Type: article
Abstract: BACKGROUND: Triglyceride and glucose (TyG) indices have been used as predictors of several chronic diseases. However, there is currently a lack of research that can comprehensively reflect the impact of TyG-related indicators on chronic diseases in middle-aged and elderly populations. The aim of this study was to investigate the relationship of TyG and its related indicators with chronic diseases and their time-dependent predictive ability in the elderly. STUDY DESIGN: Retrospective observational cohort study using China Health and Retirement Longitudinal Study (CHARLS) 2011-2020 data. METHODS: Based on longitudinal data obtained from the CHARLS from 2011 to 2020, a total of 12,966 participants were included in the study. Participants were stratified into three groups according to their TyG index. Pearson correlation coefficient and Cox model are used to assess the relationship between the TyG index, its parameters, and common chronic diseases, while Harrell's C-index is used to evaluate their risk prediction capability. RESULTS: The TyG index and its related indicators exhibit a positive dose-response relationship with the risk of diabetes, heart disease, dyslipidemia, hypertension, and stroke, while demonstrating a negative dose-response relationship with digestive system diseases. Harrell's C-index results indicated that TyG-WC demonstrates superior predictive performance overall. CONCLUSION: The TyG index and its related indicators are significantly correlated with newly onset emerging chronic diseases, with TyG-WC exhibits superior risk prediction performance.
Source: PLoS ONE
Authors: Hongli Liu, Xinmei Mao, Xuechen Wang, Dan Xu, Ting Wen, Jipeng Li
Language: English
Field: Medicine
Open Access status: gold
Estimated APC paid: $2,382
OpenAlex ID: W4413681904
FWCI: 0.587
Cites: 56
Cited by: 1
Related to: 10