Abstract
Background: Gout, characterized by recurrent inflammation, results from excessive uric acid deposition. The triglyceride-glucose (TyG) index is a reliable tool for assessing insulin sensitivity. However, the specific connection between the TyG index and gout is currently not well understood. To bridge this gap, our research aims to analyze the linkage between the TyG index and gout in U.S. adults.
Method: The National Health and Nutrition Examination Survey (NHANES) provided data covering 2009 to 2018. To guarantee a rigorous analysis, we selected participants older than 20 years with complete data on the TyG index and gout. Additionally, the research applied multiple regression and subgroup analysis to explore the distinct association linking the TyG index with gout.
Results: Ultimately, the study included 12,378 participants, presenting an average TyG index of 8.59 ± 0.68, with 604 (4.88%) suffering from gout. Employing fully adjusted multivariate logistic regression analysis, the model reveals the positive correlation linking the TyG index with the incidence of gout (Model 3: OR=1.44, 95% CI: 1.25-1.67). Additionally, interaction analysis revealed that gender, diabetes, hypertension, smoking status, marital status, and education level had no significant influence on the connection linking the TyG index with gout.
Conclusion: A higher TyG index suggests an elevated risk of gout. Given the TyG index's critical role in evaluating insulin resistance (IR), initiating early interventions for IR might reduce gout occurrences.