Errors in the Calculation of the Population Attributable Fraction.

IF 4.7 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Epidemiology Pub Date : 2024-03-12 DOI:10.1097/ede.0000000000001731
Etsuji Suzuki, Eiji Yamamoto
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Abstract

One of the common errors in the calculation of the population attributable fraction (PAF) is the use of an adjusted risk ratio in the Levin formula. In this article, we discuss the errors visually using wireframes by varying the standardized mortality ratio (SMR) and associational risk ratio (aRR) when the prevalence of exposure is fixed. When SMR > 1 and SMR > aRR, the absolute bias is positive, and its magnitude increases as the difference between SMR and aRR increases. By contrast, when aRR > SMR > 1, the absolute bias is negative and its magnitude is relatively small. Moreover, when SMR > aRR, the relative bias is larger than 1, whereas when SMR < aRR, the relative bias is smaller than 1. Although the target population of the PAF is the total population, the target of causation of the PAF is not the total population but the exposed group.
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人口可归属比例的计算错误。
计算人口可归因分数 (PAF) 的常见错误之一是在 Levin 公式中使用了调整风险比。在本文中,我们通过线框直观地讨论了在暴露流行率固定的情况下,通过改变标准化死亡率(SMR)和关联风险比(aRR)所产生的误差。当 SMR > 1 和 SMR > aRR 时,绝对偏差为正,且其幅度随着 SMR 和 aRR 差值的增大而增大。相比之下,当 aRR > SMR > 1 时,绝对偏差为负,且幅度相对较小。此外,当 SMR > aRR 时,相对偏差大于 1,而当 SMR < aRR 时,相对偏差小于 1。虽然 PAF 的目标人群是总人口,但 PAF 的因果关系目标不是总人口,而是暴露群体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Epidemiology
Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
6.70
自引率
3.70%
发文量
177
审稿时长
6-12 weeks
期刊介绍: Epidemiology publishes original research from all fields of epidemiology. The journal also welcomes review articles and meta-analyses, novel hypotheses, descriptions and applications of new methods, and discussions of research theory or public health policy. We give special consideration to papers from developing countries.
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