教科书中的人群归因分数：是时候修订了。
Population attributable fraction in textbooks: Time to revise.
作者信息
Khosravi Ahmad, Nazemipour Maryam, Shinozaki Tomohiro, Mansournia Mohammad Ali
机构信息
Department of Epidemiology, Shahroud University of Medical Sciences, Shahroud, Iran.
Ophthalmic Epidemiology Research Center, Shahroud University of Medical Sciences, Shahroud, Iran.
出版信息
Glob Epidemiol. 2021 Aug 28;3:100062. doi: 10.1016/j.gloepi.2021.100062. eCollection 2021 Nov.
INTRODUCTION
The population attributable fraction is an important measure for assessing the impact of intervention on the disease risk in populations, but it is frequently misused in the research literature.
METHODS
In this study, we review the definition, calculation, interpretation and assumptions of PAF in 43 textbooks and highlight important shortcomings.
RESULTS
While the Levin formula was proposed as a method of calculation in 29 (67%) textbooks, only in 4 (9%) was the Miettinen formula or its generalization for multilevel exposure recommended to calculate a confounding-adjusted population attributable fraction. Other concepts such as generalized impact fraction and prevented and preventable fractions were briefly discussed in few textbooks.
DISCUSSION
We recommend the authors revise the textbooks in light of our proposed framework for teaching the population attributable fraction.
引言
人群归因分数是评估干预措施对人群疾病风险影响的一项重要指标，但在研究文献中常被误用。
方法
在本研究中，我们回顾了43本教科书中人群归因分数的定义、计算、解释及假设，并突出了重要的不足之处。
结果
虽然29本（67%）教科书将莱文公式作为一种计算方法提出，但只有4本（9%）推荐使用米耶蒂宁公式或其针对多水平暴露的推广公式来计算经混杂因素调整的人群归因分数。很少有教科书简要讨论广义影响分数以及预防和可预防分数等其他概念。
讨论
我们建议作者根据我们提出的人群归因分数教学框架对教科书进行修订。
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