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中文摘要：
目的利用主成分回归分析法探讨尿酸水平与体检和血生化指标的相关性。方法采用分层整群随机抽样方法,被调查者均接受问卷调查,测量身高、体重、血压、腰围（WC）,检测尿酸（UA）、空腹血糖（FPG）,血红蛋白（Hb）、甘油三脂（TC）、总胆固醇（TG）、高密度脂蛋白胆固醇（HDL-c）,低密度脂蛋白胆固醇（LDL-c）。结果高尿酸组与尿酸正常组比较,各项指标差异有统计学意义（P〈0.01）;主成分回归分析年龄、血红蛋白、空腹血糖、甘油三脂、BMI、腰围、收缩压与血尿酸值成正相关,HDL与血尿酸值成负相关。结论主成分回归分析能较好解决尿酸相关指标的多重共线性,尿酸与糖尿病、肥胖、高血压、血脂异常密切相关。
英文摘要：
Objective Explore correlation between uric acid level,examination and blood biochemical indexes based on principal component regression analysis. Methods A random stratified cluster sampling w as conducted,and 3090 inhabitants w ere investigated in Guangxi,,the measure of height,w eight,blood pressure,w aist circumference（ W）,the detection of uric acid（ UA）,fasting plasma glucose（ FPG）,hemoglobin（ Hb）,triglycerides（ TC）,total cholesterol（ TG）,high density lipoprotein cholesterol（ HDL-c）,low-density lipoprotein cholesterol（ LDL-c）. Results Levels of all indicators in high uric acid group w ere statistically significantly different w ith the normal group,（ P 〈0. 01）. The age,hemoglobin,fasting blood glucose,TG,BM I w aist circumference,systolic blood pressure w as positively correlated w ith uric acid,HDL and uric acid into a negative based on principal component regression analysis. Conclusion Principal component regression analysis can better solve the multicollinearity of uric acid-related indicators,uric acid and diabetes,obesity,hypertension,dyslipidemia are closely related.
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