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Estimating the Proportion of Disease due to Classes of Sufficient Causes

机译:估算由于各种原因引起的疾病比例

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摘要

Disease can be caused by different mechanisms. A possible causal model proposed by Rothman is a complete causal mechanism or a so-called “sufficient cause” consisting of a set of component causes that can be illustrated in a pie chart. However, this model does not allow finding out what sufficient causes produce the majority of cases. The authors' objective was to extend Rothman's work by quantifying the proportion of disease that can be attributed to a class of sufficient causes. The underlying idea was to consider all combinations of a given set of known risk factors and to assign each combination to a class of sufficient causes. This assignment makes it possible to evaluate a class of sufficient causes by the population attributable fraction of the corresponding combination of risk factors. The approach presented was applied to sufficient causes of myocardial infarction by use of data on participants recruited between 1994 and 1998 into the European Prospective Investigation into Cancer and Nutrition-Potsdam Study. As a result, 51.8% of cases were attributed to only four different classes of sufficient causes. In conclusion, the statistical method described in the paper may be beneficial for quantifying the importance of different sufficient causes and for improving the efficiency of public health programs.
机译:疾病可能由不同的机制引起。罗斯曼(Rothman)提出的可能的因果模型是完整的因果机制或所谓的“充分原因”,其由可在饼图中说明的一组成分原因组成。但是,此模型不允许找出导致大多数案件的充分原因。作者的目的是通过量化可归因于一类充分原因的疾病比例来扩展Rothman的工作。基本思想是考虑一组给定的已知风险因素的所有组合,并将每种组合分配给一类充分的原因。通过这种分配,可以根据相应风险因素组合的总体归因分数来评估一类足够的原因。通过使用1994年至1998年在欧洲癌症与营养-波茨坦前瞻性研究中招募的参与者的数据,将提出的方法应用于足够多的心肌梗死原因。结果,51.8%的案件仅归因于四类不同的充分原因。总之,本文中描述的统计方法可能有益于量化各种充分原因的重要性,并有助于提高公共卫生计划的效率。

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