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滨海新区脑梗塞发病情况及影响因素分析 被引量:1

Analysis of Incidence and Influencing Factors of Cerebral Infarction in Binhai New Area
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摘要 目的探讨滨海新区脑梗塞发病情况及影响因素,为各级预防提供依据。方法选取2015年1月~2017年8月在海滨新区7家医院就诊的患者31735例,其中脑梗死塞患者22850例,非脑梗塞患者8885例,收集患者的性别、年龄、职业、民族、吸烟等一般人口学信息,通过单因素和多因素分析影响脑梗塞的因素。结果两组年龄、性别、民族、职业及吸烟情况比较,差异具有统计学意义(P<0.05)。多因素Logistics回归分析结果显示,性别、年龄和吸烟都是脑梗塞患者的危险因素,即男性、年龄大和吸烟者更易患脑梗塞;与无业待业者相比,除了文化工作者外(P>0.05),其余职业均是保护因素,差异具有统计学意义(P<0.05)。结论高龄、男性、吸烟以及无业、待业者是易发脑梗塞的高危人群,应予以重点关注,采取及时有效的干预措施,降低脑梗塞的发病几率。 Objective To investigate the incidence and influencing factors of cerebral infarction in Binhai New Area,and provide evidence for prevention at all levels.Methods A total of 31735 patients were enrolled in 7 hospitals from Haibin New District from January 2015 to August 2017,including 22850 patients with cerebral infarction and 8885 patients with non-cerebral infarction.The gender,age,occupation,ethnicity,and smoking of the patients were collected.And other general demographic information,through the single factor and multi-factor analysis of factors affecting cerebral infarction.Results There were significant differences in age,gender,ethnicity,occupation and smoking between the two groups(P<0.05).Multivariate logistic regression analysis showed that gender,age and smoking were risk factors for cerebral infarction patients,ie males,older adults and smokers were more susceptible to cerebral infarction;compared with unemployed,except for cultural workers(P>0.05)The remaining occupations were protective factors,the difference was statistically significant(P<0.05).Conclusion Old age,male,smoking and unemployed,unemployed are high-risk groups with cerebral infarction.Focus should be paid to timely and effective interventions to reduce the incidence of cerebral infarction.
作者 倪明 张平平 刘明法 NI Ming;ZHANG Ping-ping;LIU Ming-fa(Department of Chronic Disease Control,Tianjin Binhai New Area Center for Disease Control and Prevention,Tianjin 300450,China)
出处 《医学信息》 2019年第20期124-126,129,共4页 Journal of Medical Information
关键词 脑梗塞 发病率 影响因素 Cerebral infarction Incidence Influencing factors
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