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

Mizen, A., Lyons, J., Doherty, R., Berridge, D., Wilkinson, P., Milojevic, A., Carruthers, D., Akbari, A., Lake, I., Davies, G. A., Sallakh, M. A., Mavrogianni, A., Dearden, L., Johnson, R. and Rodgers, S. E. (2018) Creating individual level air pollution exposures in an anonymised data safe haven:A platform for evaluating impact on educational attainment. International Journal of Population Data Science, 3 (1). ISSN 2399-4908

[img]
Preview
PDF (Published_Version) - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (808kB) | Preview

Abstract

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.

Item Type: Article
Uncontrolled Keywords: air pollution,asthma,cognition,data linkage,seasonal allergic rhinitis,demography,information systems and management,information systems,health informatics ,/dk/atira/pure/subjectarea/asjc/3300/3317
Faculty \ School: Faculty of Science > School of Environmental Sciences
Faculty of Science > Tyndall Centre for Climatic Change
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 03 Jul 2020 23:58
Last Modified: 24 Nov 2020 01:39
URI: https://ueaeprints.uea.ac.uk/id/eprint/75915
DOI: 10.23889/ijpds.v3i1.412

Actions (login required)

View Item View Item