ArticleJournal of health, population, and nutrition2025
Association between insulin resistance and multiple chronic diseases: a cross-sectional study from CHARLS.
Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- The Nonlinear Association Between Adipose Tissue Insulin Resistance and Remnant Cholesterol in Chinese Adults: A Cross-Sectional Study.Journal of cardiovascular development and disease · 2026Article
- Estimated glucose disposal rate (eGDR) predicts rehospitalization & death in acute decompensated heart failure in the elderly.Heart and vessels · 2026Article
- Association of obesity and lipid indexes with rapid kidney function decline and the progression to chronic kidney disease: a study from a large longitudinal cohort among middle-aged and older adults in China.Frontiers in medicine · 2026Article
- Cumulative exposure and patterns of the cholesterol-HDL-C-glucose index and risk of new-onset cardiometabolic multimorbidity: 9-year longitudinal evidence from CHARLS.Frontiers in nutrition · 2026Article
- Association between estimated glucose disposal rate and diabetes mellitus incidence in middle-aged and elderly adults and development of predictive model: evidence from two prospective longitudinal studies.BMC endocrine disorders · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
backgroundChronic disease is a global public health problem. This study aimed to explore the association between insulin resistance (IR)-related indices and various chronic diseases, and to evaluate the predictive capacity of IR-related indices for these diseases.
methodsThe data used in this study came from CHARLS. Binary logistic regression analysis and RCS were used to analyze the relationship between IR-related indices, including TyG, TyG-BMI, TyG-WHtR, METS-IR and eGDR, with nine chronic diseases. Subgroup analysis was performed to test the stability of the results. Finally, the predictive power of IR-related indices for chronic diseases was tested by ROC curve.
resultsA total of 8,177 participants were included in this study. The study found that elevated prevalence of multiple chronic diseases is positively associated with increases in TyG, TyG-BMI, TyG-WHtR, and METS-IR, and negatively associated with eGDR. ROC analysis revealed that IR-related indices had the best accuracy in predicting dyslipidemia compared to other diseases, with TyG being the best predictor.
conclusionsIR-related indices were positively associated with the prevalence of multiple chronic diseases. The burden of chronic diseases can be reduced by improving IR in middle-aged and older people.
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