Objectives: Elevated serum uric acid (UA) levels may be a risk factor for hypertriglyceridemia (HTG). This study analyzes the relationship between UA levels and HTG using collected clinical data. Methods: The study analyzed clinical data from 11, 206 participants in 2023. Multivariate logistic regression was used to examine 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 HTG group (n=3410) and non-HTG group (n=7796). After adjusting for confounders, the multivariate logistic regression model indicated that increased lnUA was positively associated with HTG risk. In quartile analysis, increases in lnUA were positively correlated with HTG risk; Q1 OR=1.00, Q2 OR=1.557 (95% CI: 1.349, 1.796, P<0.001), Q3 OR=1.977 (95% CI: 1.712, 2.283, P<0.001), and Q4 OR=3.101 (95% CI: 2.672, 3.598, P<0.001), showing a strong positive correlation between lnUA and HTG across all levels. 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 4.692 (95% CI: 3.747, 5.875) higher than on the left at 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.