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目的探讨新疆哈萨克族原发性高血压患者中高尿酸血症的患病率及其影响因素。方法应用四阶段分层整群随机抽样方法入选新疆7个区35岁以上原发性高血压哈萨克族患者1909例,进行问卷、体检、生化指标测定等检查。采用logistic回归分析该人群的高尿酸血症主要影响因素。结果原发性高血压患者高尿酸血症的患病率为4.6%,男性为6.7%,女性为2.2%,男性高于女性(P<0.01);35～45、>45～55、>55～65、>65～75、>75岁各年龄组的原发性高血压患者高尿酸血症患病率分别为4.70%、4.69%、4.60%、3.91%、4.68%。多因素logistic回归分析得到高三酰甘油(OR=1.77,95%CI1.11～2.85)、高胆固醇血症(OR=2.58,95%CI1.62～4.10)、高尿素氮(OR=1.28,95%CI1.11～1.47)、肥胖(OR=1.53,95%CI0.67～3.50)、经常饮酒(OR=2.12,95%CI1.21～3.69)为危险因素。女性(OR=0.38,95%CI0.22～0.68)为保护因素。结论新疆哈萨克族原发性高血压患者高尿酸血症患病率相对较低,性别、高三酰甘油、高胆固醇血症、高尿素氮、肥胖、饮酒等均可影响高尿酸血症患病率,不同性别的影响因素不同。
Objective To investigate the prevalence of hyperuricemia and its influencing factors in Kazakh patients with essential hypertension. Methods A total of 1909 Kazakh patients with essential hypertension over the age of 35 in 7 districts of Xinjiang were enrolled in the study. Four questionnaires, physical examinations and biochemical tests were performed using a four-stage stratified cluster random sampling method. Logistic regression analysis was used to analyze the main influencing factors of hyperuricemia in this population. Results The prevalence of hyperuricemia was 4.6% in patients with essential hypertension, 6.7% in males and 2.2% in females and was higher in males than in females (P <0.01); 35-45,> 45-55,> 55 The prevalence rates of hyperuricemia in patients with essential hypertension of ~ 65,> 65 ~ 75, and> 75 years old were 4.70%, 4.69%, 4.60%, 3.91% and 4.68%, respectively. Multivariate logistic regression analysis showed that the incidence of hyperglycemia (OR = 1.77, 95% CI 1.11-2.85), hypercholesterolemia (OR = 2.58, 95% CI 1.62-4.10) % CI 1.11-1.47), obesity (OR = 1.53, 95% CI 0.67-3.50), and regular drinking (OR = 2.12,95% CI 1.21-3.69) were risk factors. Female (OR = 0.38, 95% CI 0.22-0.68) were protective factors. Conclusions The prevalence of hyperuricemia is relatively low in Kazakh patients with essential hypertension in Xinjiang. The prevalence of hyperuricemia may be affected by gender, triglyceride, hypercholesterolemia, high blood urea nitrogen, obesity and alcohol consumption , Different gender factors are different.