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摘要:
目的 研究高三酰甘油-腰围(hypertriglyceridemia-waist，HTGW)表型与高尿酸血症(hyperuricemia，HUA)的关系，为早期识别HUA的高危个体提供依据。 方法 采用多阶段抽样的方法抽取中山市24个镇区的成人进行现场问卷调查、体格检查及生化指标检测。使用Logistic回归分析模型、Goodman-Kruskal法和多元线性逐步回归分析HTGW表型与HUA之间的关系。 结果 共纳入研究对象7 173人，HTGW表型人群共1 089人，检出率为15.2%，HUA患者共2 332人，检出率为32.5%。多因素Logistic回归分析模型分析结果显示HTGW表型为HUA患病的重要危险因素(OR=2.689, 95% CI: 2.249~3.215, P < 0.001)。Goodman-Kruskal法关联性分析和多元线性回归模型均显示HTGW表型与HUA存在着明显的正相关关系(P <0.001)。 结论 HTGW表型为HUA患病的重要危险因素，在日常防治HUA的过程中，应重点监测具有HTGW表型的人群。 Abstract:Objective To study the relationship between hypertriglyceridemia-waist (HTGW) phenotype and high uric acidemia (HUA) and provide a basis for early identification of high-risk individuals of HUA. Methods Adults from 24 townships in Zhongshan City were selected by multi-stage random sampling method to conduct on-site questionnaires, physical examinations and biochemical index detection. The relationship between HTGW phenotype and HUA was analyzed using Logistic regression model, Goodman-Kruskal method and multivariate linear stepwise regression. Results A total of 7 173 subjects were included. The detectable rate was 15.2% for the HTGW phenotype population and 2 332 for HUA patients, with a detectable rate of 32.5%. The multi-factor Logistic regression analysis showed that the HTGW phenotype was an important risk factor for HUA (OR=2.689, 95% CI: 2.249-3.215, P <0.001). The results of the Goodman-Kruskal correlation analysis and Multiple linear regression modol showed that there was a significant positive correlation between the HTGW phenotype and HUA (P < 0.001). Conclusions HTGW phenotype is an important risk factor of HUA. In daily prevention and treatment of HUA, we should focus on monitoring people with HTGW phenotype. -
Key words:
- High uric acidemia /
- Serum uric acid /
- Biomarker /
- Hypertriglyceridemia-waist
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表 1 HUA影响因素的单因素分析
Table 1. Univariate analysis of influencing factors of HUA
变量 HUA患者例数 非HUA患者例数 HUA患病率(%) OR(95% CI)值 P值 变量 HUA患者例数 非HUA患者例数 HUA患病率(%) OR(95% CI)值 P值 性别 吸烟 男 1 415 1 969 41.8 1.000 否 1 661 3 545 31.9 1.000 女 917 2 872 24.2 0.444(0.402~0.491) < 0.001 曾经 230 405 36.2 1.212(1.021~1.440) 0.028 年龄(岁) 现在 441 891 33.1 1.056(0.929~1.201) 0.402 18~＜40 1 271 2 664 32.3 1.000 饮酒 40~＜60 807 1 788 31.1 0.946(0.850~1.052) 0.308 否 1 549 3 276 32.1 1.000 ≥60 254 389 39.5 1.369(1.153~1.625) < 0.001 偶尔 220 431 33.8 1.080(0.908~1.284) 0.387 文化程度 经常 1 134 563 33.2 1.050(0.933~1.181) 0.417 小学及以下 554 1 111 33.3 1.000 BMI 初中 781 1 633 32.4 0.959(0.840~1.095) 0.538 正常 865 2 787 23.7 1.000 高中 619 1 191 34.2 1.042(0.905~1.200) 0.564 低体重 77 441 14.9 0.563(0.436~0.725) < 0.001 大专及以上 378 906 29.4 0.837(0.715~0.979) 0.026 超重 908 1 237 42.3 2.365(2.109~2.652) < 0.001 高血压 肥胖 482 376 56.2 4.130(3.537~4.822) < 0.001 否 1 652 3 979 29.3 1.000 TG-腰围表型 是 680 862 44.1 1.900(1.692~2.133) < 0.001 NTNW 789 2731 22.4 1.000 NTGW/HTNW 938 1626 36.6 1.997(1.784~2.235) < 0.001 HTGW 605 484 55.6 4.327(3.749~4.994) < 0.001 
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表 2 HUA影响因素的多因素Logistic回归分析
Table 2. Multivariate Logistic regression analysis of influencing factors of HUA
影响因素 β值 sx值 Wald值 OR(95% CI)值 P值 性别 男 1.000 女 -0.718 0.055 170.146 0.488(0.438~0.543) < 0.001 年龄(岁) 18~＜40 1.000 40~＜60 -0.429 0.062 48.025 0.651(0.577~0.735) < 0.001 ≥60 -0.041 0.097 0.180 0.960(0.794~1.160) 0.671 高血压 否 1.000 是 0.225 0.068 10.955 1.252(1.096~1.430) ＜0.001 BMI 正常 1.000 低体重 -0.468 0.132 12.511 0.626(0.483~0.812) < 0.001 超重 0.508 0.068 55.276 1.662(1.454~1.900) < 0.001 肥胖 0.882 0.094 87.555 2.415(2.007~2.904) < 0.001 TG-腰围表型 NTNW 1.000 NTGW/ HTNW 0.449 0.070 41.228 1.567(1.366~1.797) < 0.001 HTGW 0.989 0.091 117.762 2.689(2.249~3.215) < 0.001
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表 3 尿酸值影响因素的多元线性逐步回归分析
Table 3. Multivariate linear stepwise analysis of influencing factors of SUA
影响因素 回归系数 sx值 标准化的回归系数 t值 P值 TG 10.070 0.792 0.134 12.715 ＜0.001 WC 1.024 0.141 0.102 7.238 ＜0.001
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