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Operational definitions of asthma in recent epidemiological studies are inconsistent

OBJECTIVE: The best combination of questions to define asthma in epidemiological asthma studies is not known. We summarized the operational definitions of asthma used in prevalence studies and empirically assess how asthma prevalence estimates vary depending on the definition used. METHODS: We searc...

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Autores principales: Sá-Sousa, Ana, Jacinto, Tiago, Azevedo, Luís Filipe, Morais-Almeida, Mário, Robalo-Cordeiro, Carlos, Bugalho-Almeida, António, Bousquet, Jean, Fonseca, João Almeida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4136946/
https://www.ncbi.nlm.nih.gov/pubmed/25136441
http://dx.doi.org/10.1186/2045-7022-4-24
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author Sá-Sousa, Ana
Jacinto, Tiago
Azevedo, Luís Filipe
Morais-Almeida, Mário
Robalo-Cordeiro, Carlos
Bugalho-Almeida, António
Bousquet, Jean
Fonseca, João Almeida
author_facet Sá-Sousa, Ana
Jacinto, Tiago
Azevedo, Luís Filipe
Morais-Almeida, Mário
Robalo-Cordeiro, Carlos
Bugalho-Almeida, António
Bousquet, Jean
Fonseca, João Almeida
author_sort Sá-Sousa, Ana
collection PubMed
description OBJECTIVE: The best combination of questions to define asthma in epidemiological asthma studies is not known. We summarized the operational definitions of asthma used in prevalence studies and empirically assess how asthma prevalence estimates vary depending on the definition used. METHODS: We searched the Thomson Reuters ISI Web of knowledge and included (1) cross-sectional studies (2) on asthma prevalence (3) conducted in the general population and (4) containing an explicit definition of asthma. The search was limited to the 100 most-cited papers or published since January 2010. For each paper, we recorded the asthma definition used and other variables. Then we applied the definitions to the data of the Portuguese National Asthma survey (INAsma) and of the 2005–2006 National Health and Nutrition Examination Survey (NHANES) computing asthma prevalence estimates for the different definitions. RESULTS: Of 1738 papers retrieved, 117 were included for analysis. Lifetime asthma, diagnosed asthma and current asthma were defined in 8, 12 and 29 different ways, respectively. By applying definitions of current asthma on INAsma and NHANES data, the prevalence ranged between 5.3%-24.4% and 1.1%-17.2%, respectively. CONCLUSIONS: There is considerable heterogeneity in the definitions of asthma used in epidemiological studies leading to highly variable estimates of asthma prevalence. Studies to inform a standardized operational definition are needed. Meanwhile, we propose a set of questions to be reported when defining asthma in epidemiological studies.
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spelling pubmed-41369462014-08-19 Operational definitions of asthma in recent epidemiological studies are inconsistent Sá-Sousa, Ana Jacinto, Tiago Azevedo, Luís Filipe Morais-Almeida, Mário Robalo-Cordeiro, Carlos Bugalho-Almeida, António Bousquet, Jean Fonseca, João Almeida Clin Transl Allergy Review OBJECTIVE: The best combination of questions to define asthma in epidemiological asthma studies is not known. We summarized the operational definitions of asthma used in prevalence studies and empirically assess how asthma prevalence estimates vary depending on the definition used. METHODS: We searched the Thomson Reuters ISI Web of knowledge and included (1) cross-sectional studies (2) on asthma prevalence (3) conducted in the general population and (4) containing an explicit definition of asthma. The search was limited to the 100 most-cited papers or published since January 2010. For each paper, we recorded the asthma definition used and other variables. Then we applied the definitions to the data of the Portuguese National Asthma survey (INAsma) and of the 2005–2006 National Health and Nutrition Examination Survey (NHANES) computing asthma prevalence estimates for the different definitions. RESULTS: Of 1738 papers retrieved, 117 were included for analysis. Lifetime asthma, diagnosed asthma and current asthma were defined in 8, 12 and 29 different ways, respectively. By applying definitions of current asthma on INAsma and NHANES data, the prevalence ranged between 5.3%-24.4% and 1.1%-17.2%, respectively. CONCLUSIONS: There is considerable heterogeneity in the definitions of asthma used in epidemiological studies leading to highly variable estimates of asthma prevalence. Studies to inform a standardized operational definition are needed. Meanwhile, we propose a set of questions to be reported when defining asthma in epidemiological studies. BioMed Central 2014-08-04 /pmc/articles/PMC4136946/ /pubmed/25136441 http://dx.doi.org/10.1186/2045-7022-4-24 Text en Copyright © 2014 Sá-Sousa et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Sá-Sousa, Ana
Jacinto, Tiago
Azevedo, Luís Filipe
Morais-Almeida, Mário
Robalo-Cordeiro, Carlos
Bugalho-Almeida, António
Bousquet, Jean
Fonseca, João Almeida
Operational definitions of asthma in recent epidemiological studies are inconsistent
title Operational definitions of asthma in recent epidemiological studies are inconsistent
title_full Operational definitions of asthma in recent epidemiological studies are inconsistent
title_fullStr Operational definitions of asthma in recent epidemiological studies are inconsistent
title_full_unstemmed Operational definitions of asthma in recent epidemiological studies are inconsistent
title_short Operational definitions of asthma in recent epidemiological studies are inconsistent
title_sort operational definitions of asthma in recent epidemiological studies are inconsistent
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4136946/
https://www.ncbi.nlm.nih.gov/pubmed/25136441
http://dx.doi.org/10.1186/2045-7022-4-24
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