ORIGINAL RESEARCH article
Front. Nutr.
Sec. Nutritional Epidemiology
This article is part of the Research TopicThe Interplay of Lipoprotein(a), Systemic Inflammation, and Dietary Patterns in Predicting Cardiometabolic Disease OutcomesView all articles
A Comprehensive Study on the Uric Acid to High-Density Cholesterol Ratio Influencing Cardiometabolic-Based Chronic Disease in China
Provisionally accepted
Mayina Kahaer1Yuqiu Zhu2
Yi He2Wujin Chen2Dan Yang2Manxi Du2Qingqing Yang2Xiaoyu Chen2
Bei Zhang2*
Yuping Sun2- 1Xinjiang Medical University, Urumqi, China
- 2Xinjiang Medical University, Ürümqi, China
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Cardiovascular metabolic-related chronic diseases (CMBCD) significantly impact the quality of life and socioeconomic status of patients, yet current diagnostic and therapeutic approaches are limited by a lack of effective early screening tools and individualized treatment strategies. This study aimed to investigate the relationship between the uric acid to high-density lipoprotein cholesterol ratio (UAHDL) and CMBCD among a cohort of 3,097 participants from Xinjiang China, employing logistic regression analysis. The analysis revealed that higher UAHDL levels correlated with significant increases in age and body mass index (BMI), while a notable decline in the proportion of females and an increase in smoking and drinking prevalence were observed across UAHDL categories. Our findings identified independent risk factors for CMBCD, including female sex, older age, higher BMI, fasting blood glucose, creatinine, smoking, triglycerides, and UAHDL. Male sex was independently associated with lower odds of CMBCD. Additionally, UAHDL was significantly associated with CMBCD, and the restricted cubic spline analysis suggested a non-linear trend, with risk patterns differing across the UAHDL spectrum. Subgroup analyses further demonstrated significant associations between UAHDL and CMBCD in females and participants under 60, as well as in non-smokers and non-drinkers. We constructed a nomogram incorporating nine independent predictors, offering a practical tool for personalized risk assessment. In conclusion, our results underscore the clinical relevance of UAHDL as a potential biomarker for early identification and intervention in CMBCD. Future studies with longitudinal designs and external validation are warranted to confirm these findings and refine UAHDL-based risk stratification models.
Keywords: Cardiovascular metabolic-related chronic diseases, High-density lipoprotein cholesterol, Model, nomogram, Uric Acid
Received: 11 Oct 2025; Accepted: 27 Jan 2026.
Copyright: © 2026 Kahaer, Zhu, He, Chen, Yang, Du, Yang, Chen, Zhang and Sun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Bei Zhang
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