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Creating individual level air pollution exposures in an anonymised data safe haven: a platform for evaluating impact on educational attainment

INTRODUCTION: There is a lack of evidence on the adverse effects of air pollution on cognition for people with air quality-related health conditions. We propose that educational attainment, as a proxy for cognition, may increase with improved air quality. This study will explore whether asthma and s...

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Autores principales: Mizen, Amy, Lyons, Jane, Doherty, Ruth, Berridge, Damon, Wilkinson, Paul, Milojevic, Ai, Carruthers, David, Akbari, Ashley, Lake, Iain, Davies, Gwyneth A, Sallakh, Mohammad Al, Mavrogianni, Anna, Dearden, Lorraine, Johnson, Rhodri, Rodgers, Sarah Elizabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Swansea University 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299475/
https://www.ncbi.nlm.nih.gov/pubmed/32934998
http://dx.doi.org/10.23889/ijpds.v3i1.412
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author Mizen, Amy
Lyons, Jane
Doherty, Ruth
Berridge, Damon
Wilkinson, Paul
Milojevic, Ai
Carruthers, David
Akbari, Ashley
Lake, Iain
Davies, Gwyneth A
Sallakh, Mohammad Al
Mavrogianni, Anna
Dearden, Lorraine
Johnson, Rhodri
Rodgers, Sarah Elizabeth
author_facet Mizen, Amy
Lyons, Jane
Doherty, Ruth
Berridge, Damon
Wilkinson, Paul
Milojevic, Ai
Carruthers, David
Akbari, Ashley
Lake, Iain
Davies, Gwyneth A
Sallakh, Mohammad Al
Mavrogianni, Anna
Dearden, Lorraine
Johnson, Rhodri
Rodgers, Sarah Elizabeth
author_sort Mizen, Amy
collection PubMed
description INTRODUCTION: There is a lack of evidence on the adverse effects of air pollution on cognition for people with air quality-related health conditions. We propose that educational attainment, as a proxy for cognition, may increase with improved air quality. This study will explore whether asthma and seasonal allergic rhinitis, when exacerbated by acute exposure to air pollution, is associated with educational attainment. OBJECTIVE: To describe the preparation of individual and household-level linked environmental and health data for analysis within an anonymised safe haven. Also to introduce our statistical analysis plan for our study: COgnition, Respiratory Tract illness and Effects of eXposure (CORTEX). METHODS: We imported daily air pollution and aeroallergen data, and individual level education data into the SAIL databank, an anonymised safe haven for person-based records. We linked individual-level education, socioeconomic and health data to air quality data for home and school locations, creating tailored exposures for individuals across a city. We developed daily exposure data for all pupils in repeated cross sectional exam cohorts (2009-2015). CONCLUSION: We have used the SAIL databank, an innovative, data safe haven to create individual-level exposures to air pollution and pollen for multiple daily home and school locations. The analysis platform will allow us to evaluate retrospectively the impact of air quality on attainment for multiple cross-sectional cohorts of pupils. Our methods will allow us to distinguish between the pollution impacts on educational attainment for pupils with and without respiratory health conditions. The results from this study will further our understanding of the effects of air quality and respiratory-related health conditions on cognition. HIGHLIGHTS: 1. This city-wide study includes longitudinal routinely-recorded educational attainment data for all pupils taking exams over seven years; 2. High spatial resolution air pollution data were linked within a privacy protected databank to obtain individual exposure at multiple daily locations; 3. This study will use health data linked at the individual level to explore associations between air pollution, related morbidity, and educational attainment.
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spelling pubmed-72994752020-09-14 Creating individual level air pollution exposures in an anonymised data safe haven: a platform for evaluating impact on educational attainment Mizen, Amy Lyons, Jane Doherty, Ruth Berridge, Damon Wilkinson, Paul Milojevic, Ai Carruthers, David Akbari, Ashley Lake, Iain Davies, Gwyneth A Sallakh, Mohammad Al Mavrogianni, Anna Dearden, Lorraine Johnson, Rhodri Rodgers, Sarah Elizabeth Int J Popul Data Sci Population Data Science INTRODUCTION: There is a lack of evidence on the adverse effects of air pollution on cognition for people with air quality-related health conditions. We propose that educational attainment, as a proxy for cognition, may increase with improved air quality. This study will explore whether asthma and seasonal allergic rhinitis, when exacerbated by acute exposure to air pollution, is associated with educational attainment. OBJECTIVE: To describe the preparation of individual and household-level linked environmental and health data for analysis within an anonymised safe haven. Also to introduce our statistical analysis plan for our study: COgnition, Respiratory Tract illness and Effects of eXposure (CORTEX). METHODS: We imported daily air pollution and aeroallergen data, and individual level education data into the SAIL databank, an anonymised safe haven for person-based records. We linked individual-level education, socioeconomic and health data to air quality data for home and school locations, creating tailored exposures for individuals across a city. We developed daily exposure data for all pupils in repeated cross sectional exam cohorts (2009-2015). CONCLUSION: We have used the SAIL databank, an innovative, data safe haven to create individual-level exposures to air pollution and pollen for multiple daily home and school locations. The analysis platform will allow us to evaluate retrospectively the impact of air quality on attainment for multiple cross-sectional cohorts of pupils. Our methods will allow us to distinguish between the pollution impacts on educational attainment for pupils with and without respiratory health conditions. The results from this study will further our understanding of the effects of air quality and respiratory-related health conditions on cognition. HIGHLIGHTS: 1. This city-wide study includes longitudinal routinely-recorded educational attainment data for all pupils taking exams over seven years; 2. High spatial resolution air pollution data were linked within a privacy protected databank to obtain individual exposure at multiple daily locations; 3. This study will use health data linked at the individual level to explore associations between air pollution, related morbidity, and educational attainment. Swansea University 2018-08-21 /pmc/articles/PMC7299475/ /pubmed/32934998 http://dx.doi.org/10.23889/ijpds.v3i1.412 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Population Data Science
Mizen, Amy
Lyons, Jane
Doherty, Ruth
Berridge, Damon
Wilkinson, Paul
Milojevic, Ai
Carruthers, David
Akbari, Ashley
Lake, Iain
Davies, Gwyneth A
Sallakh, Mohammad Al
Mavrogianni, Anna
Dearden, Lorraine
Johnson, Rhodri
Rodgers, Sarah Elizabeth
Creating individual level air pollution exposures in an anonymised data safe haven: a platform for evaluating impact on educational attainment
title Creating individual level air pollution exposures in an anonymised data safe haven: a platform for evaluating impact on educational attainment
title_full Creating individual level air pollution exposures in an anonymised data safe haven: a platform for evaluating impact on educational attainment
title_fullStr Creating individual level air pollution exposures in an anonymised data safe haven: a platform for evaluating impact on educational attainment
title_full_unstemmed Creating individual level air pollution exposures in an anonymised data safe haven: a platform for evaluating impact on educational attainment
title_short Creating individual level air pollution exposures in an anonymised data safe haven: a platform for evaluating impact on educational attainment
title_sort creating individual level air pollution exposures in an anonymised data safe haven: a platform for evaluating impact on educational attainment
topic Population Data Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299475/
https://www.ncbi.nlm.nih.gov/pubmed/32934998
http://dx.doi.org/10.23889/ijpds.v3i1.412
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