[1]倪 明,张平平,刘明法.滨海新区脑梗塞发病情况及影响因素分析[J].医学信息,2019,(20):124-126,129.[doi:10.3969/j.issn.1006-1959.2019.20.038]
 NI Ming,ZHANG Ping-ping,LIU Ming-fa.Analysis of Incidence and Influencing Factors of Cerebral Infarction in Binhai New Area[J].Medical Information,2019,(20):124-126,129.[doi:10.3969/j.issn.1006-1959.2019.20.038]
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滨海新区脑梗塞发病情况及影响因素分析()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
期数:
2019年20期
页码:
124-126,129
栏目:
调查分析
出版日期:
2019-10-15

文章信息/Info

Title:
Analysis of Incidence and Influencing Factors of Cerebral Infarction in Binhai New Area
文章编号:
1006-1959(2019)20-0124-04
作者:
倪 明张平平刘明法
(天津市滨海新区疾病预防控制中心慢控科,天津 300450)
Author(s):
NI MingZHANG Ping-pingLIU Ming-fa
(Department of Chronic Disease Control,Tianjin Binhai New Area Center for Disease Control and Prevention,Tianjin 300450,China)
关键词:
脑梗塞发病率影响因素
Keywords:
Cerebral infarctionIncidenceInfluencing factors
分类号:
R743.3
DOI:
10.3969/j.issn.1006-1959.2019.20.038
文献标志码:
A
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。
Abstract:
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.

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更新日期/Last Update: 2019-10-15