首都医科大学学报 ›› 2005, Vol. 26 ›› Issue (6): 684-686.

• 专题报道 • 上一篇    下一篇

北京市0~14岁儿童意外伤害危险因素的Logistic回归分析

时颖, 焦淑芳, 谢瑾, 王瑜, 尹香君, 周滢   

  1. 北京市疾病预防控制中心
  • 收稿日期:2005-11-08 修回日期:1900-01-01 出版日期:2005-12-24 发布日期:2005-12-24

Risk Factors of Unintentional Injuries Among 0 to 14-year-old Children in Beijing: A Logistic Regression Analysis

Shi Ying, Jiao Shufang, Xie Jin, Wang Yu, Yin Xiangjun, Zhou Ying   

  1. Beijing Center for Disease Prevention Control ICNDPC
  • Received:2005-11-08 Revised:1900-01-01 Online:2005-12-24 Published:2005-12-24

摘要: 目的 了解北京市0~14岁儿童意外伤害发生现状,探讨伤害发生的危险因素,为控制儿童意外伤害提供流行病学资料。方法 随机分层整群抽取北京市城市和农村各1个区县2368例0~14岁儿童,采用家长问卷方式,调查2002年11月至2003年11月0~14岁儿童意外伤害发生及相关情况。采用非条件Logistic逐步回归分析。结果 意外伤害总发生率为13.05%。与意外伤害发生有关的因素包括儿童性别、母亲文化程度、儿童与同龄人相处能力、家长是否担心儿童发生意外伤害、是否对家庭室内电源进行保护性处理等。结论 北京市0~14岁儿童意外伤害发生是多因素相互作用的结果。应针对各种因素采取综合预防控制措施。

关键词: 儿童, 意外伤害, 危险因素, Logistic回归分析

Abstract: Objective The aim of this study was to evaluate the risk factors of unintentional injuries among 0~14-year-old children in Beijing, in order to provide some epidemic data for prevention of child-hood injuries.Methods 2368 children aged 0~14-year-old were randomly selected from a urban and a suburban area and were surveyed with questionnaire from November of 2002 to November of 2003.Data were analyzed by χ2 and logistic regression analysis.Results Of the 2368 children who were eligible for the study, the morbidity of unintentional injuries was 13.05%.In multivariate logistic regression analysis the strongest risk factors of injury were: children's sex, mothers'education status, children's communication skills with peers, Parents'attention for children's injuries.Conclusion In conclusion, injuries were an important cause of morbidity among our 0~14-year-old children in Beijing.The finding that multiple factors were associated with Unintentional Injuries challenges the society to identify and treat the risk factors that can be modified to reduce the number of children injuries.

Key words: children, unintentional injury, risk factors, logistic regression analysis

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