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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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. |
format | Online Article Text |
id | pubmed-10445975 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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