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癫痫危险因素病例对照研究
引用本文:李明, 车峰远, 薛付忠. 癫痫危险因素病例对照研究[J]. 中国公共卫生, 2010, 26(6): 789-790. DOI: 10.11847/zgggws2010-26-06-47
作者姓名:李明  车峰远  薛付忠
作者单位:1.山东大学公共卫生学院流行病与卫生统计学研究所, 山东济南250012;2.山东省临沂市人民医院
基金项目:国家科技部科技支撑计划项目 
摘    要:目的 探讨癫痫发病的危险因素,为癫痫的治疗和控制提供科学依据。方法 以2008年9月-2009年8月在医院就诊的443例癫痫患者为病例组,选择同期住院的334例非癫痫患者为对照组,进行相关因素流行病学调查和统计学分析。结果 调查的23项相关因素中有8项单因素分析差异有统计学意义,6项多因素分析差异有统计学意义;其中癫痫家族史(OR=10.16,P=0.0004),热性惊厥(OR=6.34,P=0.0002),产伤(OR=5.38,P=0.0257),颅脑损伤(OR=3.29,P=0.0003)是癫痫发病的危险因素,而年龄(OR=0.62,P<0.0001),顺产(OR=0.21,P<0.0001)为其保护因素。结论 癫痫家族史、热性惊厥、产伤、颅脑损伤是癫痫发病的危险因素,为今后进行癫痫基因定位及其预警模型的研究提供了基础依据。

关 键 词:癫痫  危险因素  病例对照  Logistic回归分析
收稿时间:2009-09-08

A case-control study on risk factors of epilepsy
LI Ming, CHE Feng-yuan, XUE Fu-zhong.. A case-control study on risk factors of epilepsy[J]. Chinese Journal of Public Health, 2010, 26(6): 789-790. DOI: 10.11847/zgggws2010-26-06-47
Authors:LI Ming  CHE Feng-yuan  XUE Fu-zhong
Affiliation:1.Institute of Epidemiology and Health Statistics, School of Public Health, Shandong University,Ji’nan 250012, China
Abstract:Objective To explore the risk factors of epilepsy.Methods A case-control study including 443 epileptic patients and 334 non-epileptic patients treated in Linyi People's Hospital from September 2008 to April 2009 was conducted.Results Eight indexes in univariate analysis and 6 indexes in multivariate analysis(non-conditional logistic regression) showed statistically significant association with epilepsy.Family history of epilepsy(odds ratio[OR]=10.16,P=0.000 4),febrile seizure(OR= 6.34,P=0.000 2),birth injury of newborn(OR=5.38,P=0.025 7) and head trauma(OR=3.29,P=0.000 3) were risk factors to epileptic seizure.While age(OR=0.62,P<0.000 1),eutocia(OR=0.21,P<0.000 1) were protective factors.Conclusion The family history of epilepsy,febrile seizure,birth injury of newborn and head trauma are important risk factors of epileptic seizure.The resutlt lays a good foundation for gene localization and the epileptic early warning model.
Keywords:epilepsy  risk factor  case-control study  logistic regression analysis
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