文章摘要
么鸿雁,施侣元.应用Meta分析有效估计人群归因危险度百分比的探讨[J].中华流行病学杂志,2003,24(4):320-321
应用Meta分析有效估计人群归因危险度百分比的探讨
Application of Meta analysis effectively estimate the population attributable risk percentage
收稿日期:2002-02-05  出版日期:2014-09-15
DOI:
中文关键词: 人群归因危险度百分比;Meta分析;病例对照研究;危险因素;有效估计;PARP;分析方法;抽样调查;暴露率;肺癌危险
英文关键词: The population attributable risk percentage;Meta analysis;A case-control study;Risk factors for;Effective estimation PARP;Analysis method;Sampling survey;Exposure rate;Lung cancer risk
基金项目:
作者单位
么鸿雁 华中科技大学同济医学院流行病教研室, 430030武汉 
施侣元 华中科技大学同济医学院流行病教研室, 430030武汉 
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中文摘要:
      人群归因危险度百分比(population attributable risk proportion, PARP)是总体人群中某种疾病归因于某种因素的暴露所引起的发病(死亡)占全部发病(死亡)的百分比,反映该因素所引起的发病(死亡)占全部发病(死亡)的比重.通过PARP可了解各危险因素对人群中某疾病的发病所产生的影响,亦即消除某危险因素后,所产生的对预防该疾病的效果将占有多大比重.它能够为卫生政策的制订提供依据,有着重要的公共卫生的实际意义.目前常用的估计PARP的方法有两种:一种是利用全国人群抽样调查获得的人群总暴露率来估计;另一种是利用某地区病例对照资料的单个研究的人群暴露率作为人群总暴露率来估计.这两种方法各有特点,但也明显地存在着不足,或者所需样本量大、实际操作费时、费力;或者方法上不够严谨准确.
英文摘要:
      Population attributable risk percentage (population attributable risk proportion, PARP) is a disease in the general population due to some factors caused by the exposure of the disease (death) as a percentage of total incidence (death), reflect the factors caused (death) of the proportion of total incidence (death). Through PARP can understand the risk factors on the impact of the onset of certain diseases in the crowd, i.e. to eliminate some risk factors, the proportion will have much effect on the disease prevention. It can provide the basis for the formulation of health policies, has important practical significance of the public health. The common method to estimate the PARP has two kinds: one kind is to use the national population sampling survey of population total exposure rate to estimate;Another kind is to use case-control data in a given area of a single study population exposure rate as the crowd to estimate total exposure rate. These two methods have their own characteristics, but also clearly there is insufficient, or the large sample size required, the actual operation is time-consuming and tedious;Or not rigorous accurate methods.
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