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浙江省海岛居民两周患病率的影响因素
引用本文:何凡,沈毅,叶众. 浙江省海岛居民两周患病率的影响因素[J]. 中国农村卫生事业管理, 2006, 26(2): 31-33
作者姓名:何凡  沈毅  叶众
作者单位:1. 浙江省疾病预防控制中心,浙江,杭州,310009
2. 浙江省象山县疾病预防控制中心,浙江,象山,315700
摘    要:目的;探讨影响浙江省海岛居民两周患病率的因素。方法:应用CHAID(Chi-squared AutomaticInteraction Detector)方法分析浙江省海岛居民卫生服务需求与利用调查资料。结果:浙江省海岛居民的两周患病率为20.16%(95%CI;18.46%~21.86%),调查前半年是否患有慢性病、与同龄人相比的健康状况、年龄、性别以及医疗保障形式等5个影响因素特征显著不同,将人群分成9个不同两周患病率的部分。CHAID分析结果的Risk估计值仅为0.1829,模型拟合较好。结论:调查前半年是否患有慢性病、与同龄人相比的健康状况、年龄,性别以及医疗保障形式是影响浙江省海岛居民两周患病率的主要因素。

关 键 词:两周患病率  影响因素
文章编号:1005-5916(2006)02-0031-03
收稿时间:2005-06-28
修稿时间:2005-06-28

The relevant factors of two-week prevalence in islands citizens in Zhejiang province
HE Fan,SHEN Yi,YE Zhong. The relevant factors of two-week prevalence in islands citizens in Zhejiang province[J]. Chinese Rural Health Service Administration, 2006, 26(2): 31-33
Authors:HE Fan  SHEN Yi  YE Zhong
Affiliation:1. Department of Epidemic and Health Statistics, School of Medicine Zhejiang University , 310031;2 Center of Disease Prevention and Control in XiangShan County, XiangShan 315700
Abstract:Objective To explore the relevant factors of two-week prevalence in islands citizens in Zhejiang province.Methods Using Chi-squared Automatic Interaction Detector(CHAID) to analyze the individual data from the demand and utility of the health service in islands citizens in Zhejiang province survey.Results Two-week prevalence in islands citizens in Zhejiang province was 20.16%(95%CI : 18.46%~21.86%).Groups with various two-week prevalence had the different characteristics as follows: whether suffering from chronic diseases during past half year,health status compared with contemporary,age,sex and pattern of health insurance.The sample was divided into 9 groups with different self-rated health by above 5 characteristics.Risk estimate of CHAID analysis was 0.1829.Conclusion The most important relevant factors of two-week prevalence in islands citizens in Zhejiang province are as follows: whether suffering from chronic diseases during past half year,health status compared with contemporary,age,sex and pattern of health insurance.
Keywords:two-week prevalence   relevant factors
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