本研究对197例脑血栓新发病例及214例对照进行了病例对照研究。应用非条件Logistic多元回归模型分析了24项脑血栓形成的主要相关因素。结果表明:年龄、肢体麻木、糖尿病、头晕、饮酒、高血压、头痛和总胆固醇与脑血栓的发病预测有显著意义(P<0.05),其中以肢体麻木、糖尿病的相关最为显著,而性别、职业、吸烟、TIA、甘油三脂、高密度脂蛋白、血液流变学的某些指标与脑血栓发病的预测没有显著相关(P>0.05)。 In this study, 197 cases of new cases of cerebral thrombosis and 214 cases of control were case-control study. Non-conditional Logistic multiple regression model was used to analyze the main related factors of 24 cerebral thrombosis. The results showed that age, numbness, diabetes, dizziness, alcohol consumption, hypertension, headache and total cholesterol were significantly correlated with the prediction of the incidence of cerebral thrombosis (P <0.05), especially in limb numbness and diabetes. Occupational, smoking, TIA, triglycerides, HDL, hemorheology and some indicators of the incidence of cerebral thrombosis was not significantly correlated (P> 0.05).