Chinese General Practice ›› 2026, Vol. 29 ›› Issue (18): 2532-2537.DOI: 10.12114/j.issn.1007-9572.2024.0618

• Article·Hot Topic Research·Metablic Disorder • Previous Articles    

Association between the Ratio of Uric Acid to High-density Lipoprotein Cholesterol and Metabolic Syndrome in the Yi Ethnic Group of Yunnan Province

  

  1. 1 School of Public Health, Kunming Medical University, Kunming 650500, China
    2 School of Nursing, Kunming Medical University, Kunming 650500, China
    3 Health Management Center, Anning Chinese Medicine Hospital, Anning 650300, China
  • Received:2025-02-10 Revised:2025-07-15 Published:2026-06-20 Online:2026-05-21
  • Contact: YE Aifang, MAO Yong

尿酸与高密度脂蛋白胆固醇比值与代谢综合征的关系研究:基于云南省彝族人群

  

  1. 1.650500 云南省昆明市,昆明医科大学公共卫生学院
    2.650500 云南省昆明市,昆明医科大学护理学院
    3.650300 云南省安宁市中医医院健康管理中心
  • 通讯作者: 叶爱芳, 毛勇
  • 作者简介:

    作者贡献:

    张梅负责数据的整理分析、论文撰写;叶爱芳、毛勇负责研究设计、论文修改;李梦启、卢双艳、普惠婕、李贵涛、刁翌负责数据收集整理;陶慧、范卢明负责指标检测;毛勇对文章整体负责。

  • 基金资助:
    云南省科技厅-昆明医科大学应用基础研究联合专项基金资助项目(2019FE001(-013)); 昆明医科大学老龄化健康管理科技创新团队建设项目(CXTD202103); 昆明医科大学研究生创新基金(2024S166)

Abstract:

Background

Metabolic syndrome (MetS) is a global public health issue, with an increasing prevalence among the Yi ethnic group due to their unique lifestyle and genetic background. The uric acid (UA) to high-density lipoprotein cholesterol (HDL-C) ratio (UHR) is closely related to various metabolic diseases and requires further investigation.

Objective

This study aims to explore the association between UHR and MetS in the Yi ethnic group of Yunnan Province, and to assess the predictive value of UHR for the risk of MetS.

Methods

From May to November 2021, a stratified cluster sampling method was employed to select 1 100 Yi ethnic residents from 17 villages across 6 sample streets/towns in Anning City, Yunnan Province. After excluding 49 ineligible cases, a total of 1 051 subjects were ultimately included in the study. General demographic data and physical examination indicators were collected from all participants. The UHR was calculated, and Pearson correlation analysis along with Binary Logistic regression analysis were performed to examine the association between UHR and MetS. Additionally, the receiver operating characteristic (ROC) curve analysis was conducted to evaluate the predictive value of UHR for the risk of MetS.

Results

Among the 1 051 participants, there were 335 (31.87%) males and 716 (68.13%) females, with a mean age of (70±7) years. The study identified 235 (22.36%) cases of MetS and 816 (77.64%) non-MetS cases. Significant differences were observed between MetS and non-MetS groups in age, BMI, systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), total cholesterol (TC), HDL-C, low-density lipoprotein cholesterol (LDL-C), alanine aminotransferase (ALT), aspartate aminotransferase (AST), UA, fasting blood glucose (FBG) and UHR levels (P<0.05). The UHR was significantly higher in the MetS group (P<0.05). Participants were stratified into quartiles (Q1-Q4) based on UHR levels (7.94%, 10.57%, and 14.75% as cut-off points). Cochran-Armitage trend test revealed a significant dose-dependent increase in the prevalence of MetS and its components with ascending UHR quartiles (P<0.001). Pearson correlation analysis demonstrated positive associations of UHR with age, height, body weight, BMI, waist circumference (WC), SBP, DBP, creatinine (Cr), urea, TG, FBG, ALT, and UA (P<0.05), while negative correlations were observed with TC, HDL-C, LDL-C, AST, and direct bilirubin (DBIL) (P<0.05). Binary Logistic regression analysis showed that the risk of MetS in the Q4 group was 27.31 times that of the Q1 group (95%CI=11.39-65.47, P<0.01). After adjusting for confounding variables, each 1-unit increase in UHR was associated with a 29% elevated risk of MetS (OR=1.29, 95%CI=1.22-1.35, P<0.01). ROC curve analysis confirmed a strong predictive value of UHRfor MetS (AUC=0.805).

Conclusion

High UHR is a risk factor for MetS in Yi ethnic group and has a good predictive value for the risk of MetS.

Key words: Metabolic syndrome, Uric acid, Cholesterol, HDL, Yi ethnic, Yunnan Province

摘要:

背景

代谢综合征(MetS)是全球公共卫生问题,彝族人群由于独特的生活方式和遗传背景,MetS患病率呈上升趋势。尿酸(UA)与高密度脂蛋白胆固醇(HDL-C)比值(UHR)与多种代谢性疾病关系密切,亟需进一步研究二者之间的关系。

目的

探讨UHR与云南省彝族人群MetS的关系,并评估其对MetS风险的预测价值。

方法

2021年5—11月,采用分层整群抽样法选取安宁市的6个样本街道(或镇)共17个村委会的彝族居民1 100名,排除不符合标准者49名,最后共纳入1 051名研究对象。收集研究对象的一般资料、体格检查指标等,计算UHR,采用Pearson相关性分析和二元Logistic回归分析探讨UHR与MetS的关系,绘制UHR预测MetS患病风险的受试者工作特征(ROC)曲线。

结果

1 051名研究对象中男335名(31.87%)、女716名(68.13%),平均年龄(70±7)岁,MetS 235例(22.36%),非MetS 816例(77.64%)。MetS组与非MetS组的年龄、BMI、收缩压(SBP)、舒张压(DBP)、甘油三酯(TG)、总胆固醇(TC)、HDL-C、低密度脂蛋白胆固醇(LDL-C)、丙氨酸氨基转移酶(ALT)、天冬氨酸氨基转移酶(AST)、UA、空腹血糖(FBG)比较,差异有统计学意义(P<0.05)。MetS组的UHR高于非MetS组(P<0.05),根据UHR四分位数水平(7.94%、10.57%、14.75%)将调查对象分为Q1~Q4组,Cocharan-Armitage趋势检验结果显示,MetS及其组分疾病患病率均随UHR水平升高而增加(P<0.001)。Pearson相关分析结果显示,UHR与年龄、身高、体质量、BMI、腰围(WC)、SBP、DBP、肌酐(Cr)、尿素、TG、FBG、ALT、UA呈正相关(P<0.05),与TC、HDL-C、LDL-C、AST、间接胆红素(DBIL)呈负相关(P<0.05)。二元Logistic回归分析结果显示,Q4组MetS患病风险是Q1组的27.31倍(95%CI=11.39~65.47,P<0.01);调整相关变量后,UHR每升高1个单位,MetS患病风险显著增加29%(OR=1.29,95%CI=1.22~1.35,P<0.01)。ROC曲线显示,UHR对MetS具有良好的预测价值(AUC=0.805)。

结论

高UHR是彝族人群发生MetS的危险因素,且对MetS发生风险有良好的预测价值。

关键词: 代谢综合征, 尿酸, 胆固醇,HDL, 彝族, 云南省