大理居民脑卒中患者危险因素的Logistic回归分析

Logistic Regression Analysis of Risk Factors for Stroke in Dali Residents

目的:探讨脑卒中患者危险因素对其发病的影响,从而为脑卒中的预防及干预提供有效的科学依据。方法:随机抽取大理大学第一附属医院神经内科住院部2013年至2016年间脑卒中患者300例为病例组,另随机抽取体检中心健康体检者300例为健康对照组。两组资料进行单因素t检验和多因素Logistic回归分析。结果:单因素t检验显示:两组资料年龄、性别、红细胞、白细胞、血糖、甘油三酯、胆固醇、低密度脂蛋白差异均有统计学意义(P<0.01);二分类Logistic回归分析显示:两组资料年龄、白细胞、甘油三脂、血糖为脑卒中发病的独立危险因素(P<0.05)。结论:大理居民的血糖、甘油三脂、白细胞、年龄为脑卒中发病的危险因素。

Objective： To investigate the influence of risk factors for stroke on its morbidity in Dali residents in order to provide effective scientific base for the prevention and intervention of stroke. Methods： The case group included 300 stroke inpatients that were randomly selected from the Neurology Department of the First Affiliated Hospital of Dali University from 2013 to 2016. The control group consisted of 300 healthy people randomly selected from the Physical Examination Center. The data of two groups were analyzed, including single factor t test and multivariate Logistic regression analysis. Results： Single factor t test showed that the differences were statistically significant（P〈0.01） of age, sex, erythrocyte count, leucocyte count, blood glucose, triglyceride,cholesterol and low density lipoprotein between the case group and the control group; binary Logistic regression analysis showed that age, leucocyte count, triglyceride and blood glucose were independent risk factors for stroke in both of the groups（P〈0.05）.Conclusion： Blood glucose, triglyceride, leucocyte count and age are the risk factors for stroke in Dali residents.