Objective：To investigate the relationship between serum uric acid（UA）levels and hypertriglyceridemia（HTG）. Methods：A retrospective analysis was conducted on clinical data from 11 206 participants in a study conducted in 2023. Multivariate logistic regression analysis was used to explore the relationship between UA levels and HTG. Generalized linear models，smooth curve fitting，and threshold effect analysis were applied to investigate the nonlinear relationship between UA levels and HTG. Results：The study included 11，206 participants，divided based on TG levels into a HTG group（n=3 410）and a non-HTG group（n=7 796）. After adjusting for confounders，the multivariate logistic regression model showed a positive correlation between elevated lnUA and the risk of HTG. The lnUA values were categorized into four quartiles：the lowest quartile Q1（OR=1.000），the second quartile Q2（OR=1.557， 95% CI：1.349-1.796，P < 0.001），the third quartile Q3（OR=1.977，95%CI：1.712-2.283，P < 0.001），and the highest quartile Q4 （OR=3.101，95%CI：2.672-3.598，P < 0.001）. A strong positive correlation was observed between lnUA and HTG across all quartiles. Smooth curve fitting demonstrated a nonlinear relationship between UA levels and HTG. The turning point of the U-shaped association between lnUA and HTG was found at 5.517，with the effect size on the right side being being higher than on the left side［4.692（95% CI：3.747-5.875）vs. 2.766（95% CI：1.869-4.094）］. Conclusion：Serum UA levels are positively correlated with HTG. Given that UA may be a risk factor for HTG，individuals diagnosed with HTG should prioritize the daily management of UA levels.