Published online Oct 15, 2025. doi: 10.4239/wjd.v16.i10.110211
Revised: July 2, 2025
Accepted: August 18, 2025
Published online: October 15, 2025
Processing time: 136 Days and 22.4 Hours
The association between the uric acid-to-high-density lipoprotein cholesterol ratio (UHR) and mental health among individuals with type 2 diabetes mellitus (T2DM) has not been thoroughly investigated.
To examine the link between UHR and symptoms of depression and anxiety in patients with T2DM.
A cross-sectional analysis was carried out from March 2023 to April 2024, in
A total of 285 patients with T2DM were included. Initial univariate analysis demonstrated a significant positive correlation between elevated UHR levels and higher SDS and SAS scores. Multivariate regression analysis revealed that a one-unit rise in UHR was associated with a 1.13-point increase in SDS scores (95%CI: 0.69-1.58) and a 0.57-point increase in SAS scores (95%CI: 0.20-0.93). After controlling for confounders, UHR remained positively correlated with SDS (β = 1.55, 95%CI: 0.57-2.53) and SAS (β = 0.72, 95%CI: 0.35-1.09). Nonlinear analysis identified critical thresholds at UHR values of 5.02 for SDS and 4.00 for SAS, beyond which the relationships between UHR and psychological symptom scores became markedly stronger (P < 0.05).
Higher UHR levels are significantly linked to exacerbated depressive and anxiety symptoms in patients with T2DM. These results indicate that UHR may function as a promising biomarker to identify individuals at greater risk of mental health complications within this population.
Core Tip: This study highlights the significant association between the uric acid-to-high-density lipoprotein cholesterol ratio (UHR) and symptoms of depression and anxiety in individuals with type 2 diabetes mellitus (T2DM). Using multivariate and nonlinear analyses, the study identifies threshold effects, suggesting that elevated UHR levels may serve as a cost-effective biomarker for psychological distress in T2DM. These findings underscore the importance of integrating metabolic and mental health assessments in diabetic care, particularly in high-risk subgroups.
