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Population attributable fraction in textbooks: Time to revise

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 assumptio...

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Autores principales: Khosravi, Ahmad, Nazemipour, Maryam, Shinozaki, Tomohiro, Mansournia, Mohammad Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445975/
https://www.ncbi.nlm.nih.gov/pubmed/37635714
http://dx.doi.org/10.1016/j.gloepi.2021.100062
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author Khosravi, Ahmad
Nazemipour, Maryam
Shinozaki, Tomohiro
Mansournia, Mohammad Ali
author_facet Khosravi, Ahmad
Nazemipour, Maryam
Shinozaki, Tomohiro
Mansournia, Mohammad Ali
author_sort Khosravi, Ahmad
collection PubMed
description 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.
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spelling pubmed-104459752023-08-25 Population attributable fraction in textbooks: Time to revise Khosravi, Ahmad Nazemipour, Maryam Shinozaki, Tomohiro Mansournia, Mohammad Ali Glob Epidemiol Methodology 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. Elsevier 2021-08-28 /pmc/articles/PMC10445975/ /pubmed/37635714 http://dx.doi.org/10.1016/j.gloepi.2021.100062 Text en © 2021 Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Methodology
Khosravi, Ahmad
Nazemipour, Maryam
Shinozaki, Tomohiro
Mansournia, Mohammad Ali
Population attributable fraction in textbooks: Time to revise
title Population attributable fraction in textbooks: Time to revise
title_full Population attributable fraction in textbooks: Time to revise
title_fullStr Population attributable fraction in textbooks: Time to revise
title_full_unstemmed Population attributable fraction in textbooks: Time to revise
title_short Population attributable fraction in textbooks: Time to revise
title_sort population attributable fraction in textbooks: time to revise
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445975/
https://www.ncbi.nlm.nih.gov/pubmed/37635714
http://dx.doi.org/10.1016/j.gloepi.2021.100062
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