摘要
Objective: The aim of this study is to investigate the relationship between hyperuricemia risk and changes in the Triglyceride-Glucose (TyG) index among middle-aged and elderly Chinese individuals. Methods: Baseline demographic, health, and physical examination data, along with blood samples, were collected from participants in both CHARLS Wave 1 and Wave 3. The TyG index was calculated, and participants meeting the inclusion criteria were grouped into four quartiles based on their cumulative TyG index. Independent factors influencing hyperuricemia were identified through the use of univariate and multivariate Cox regression models, with the lowest TyG quartile serving as the reference point. The correlation between hyperuricemia risk and cumulative TyG index was assessed using restricted cubic spline regression. Subgroup and interaction analyses were also carried out. Results: A total of 5,600 participants (2,438 men and 3,162 women) with a median age of 57 years were included in this study. When the cumulative TyG index was less than 34.38, the risk of hyperuricemia was significantly decreased as the cumulative TyG index was reduced. Conversely, when the cumulative TyG index exceeded 34.38, the risk of hyperuricemia was seen to increase slowly with a higher cumulative TyG index. Subgroup analyses indicated that the cumulative TyG index increased the risk of hyperuricemia in various subgroups, including age, gender, hukou, education level, smoking, hypertension, body mass index (BMI), and WC. High cumulative TyG index was found to be more likely to raise the risk of hyperuricemia in individuals with low WC (< 85 cm for males, < 80 cm for females). Conclusion: In this longitudinal study of middle-aged and elderly Chinese individuals, independent risk factors for hyperuricemia were found to include cumulative TyG index, male gender, hypertension, DBP, WC, and Cr. The cumulative TyG index, as a straightforward measure, was demonstrated to be a valuable tool for the evaluation of hyperuricemia risk. Disclosure Y. Wu: None. Y. Chen: None. Funding Natural Science Foundation of Jilin Province of China (YDZJ202301ZYTS074)