The association between triglyceride glucose index and arthritis: a population-based study

OBJECTIVES: Insulin resistance is a well-established contributor to inflammation; however, the specific association between the triglyceride glucose (TyG) index, a biomarker reflecting insulin resistance, and arthritis remains unexplored. As a result, the main aim of this study was to examine the co...

Descripción completa

Detalles Bibliográficos
Autores principales: Yan, Yuxin, Zhou, Liyu, La, Rui, Jiang, Ming, Jiang, Dinghua, Huang, Lixin, Xu, Wu, Wu, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463930/
https://www.ncbi.nlm.nih.gov/pubmed/37608322
http://dx.doi.org/10.1186/s12944-023-01899-9
Descripción
Sumario:OBJECTIVES: Insulin resistance is a well-established contributor to inflammation; however, the specific association between the triglyceride glucose (TyG) index, a biomarker reflecting insulin resistance, and arthritis remains unexplored. As a result, the main aim of this study was to examine the correlation between the TyG index and arthritis. METHODS: This observational study used data from the National Health and Nutrition Examination Survey (NHANES), which was conducted between 2007 and 2018. To investigate the relationship between the TyG index and arthritis, various statistical analyses were employed, including weighted multivariable logistic regression analysis, subgroup analysis, curve fit analysis, and threshold effect analysis. RESULTS: In total, 14,817 patients were enrolled in the trial, with 4,191 individuals (28.29%) diagnosed with arthritis. An increased risk of arthritis was found to be significantly correlated with higher TyG index values (odds ratio OR = 1.15, 95% confidence interval CI: 1.07–1.23), according to the results of multivariable logistic regression analysis after full adjustment. Subgroup analysis and interaction tests further indicated that the TyG index exhibited an additive effect when combined with other established risk factors, including age (OR = 1.29; 95% CI: 1.17–1.41), body mass index (BMI) (OR = 1.43; 95% CI: 1.24–1.69), and diabetes (OR = 1.20; 95% CI: 1.11–1.31). Additionally, curve fit analysis and threshold effect analysis demonstrated a nonlinear relationship with a breakpoint identified at 8.08 µmol/L. CONCLUSION: The TyG index was positively correlated with arthritis in adults under 60 years of age in the United States who had normal weight and no diabetes. Further large-scale prospective studies are warranted for a comprehensive analysis of the role of the TyG index in arthritis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-023-01899-9.

Ejemplares similares