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

机译:在匿名数据安全港中创建个人级别的空气污染暴露:评估对教育程度的影响的平台

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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. Objectives 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 This city-wide study includes longitudinal routinely-recorded educational attainment data for all pupils taking exams over seven years; High spatial resolution air pollution data were linked within a privacy protected databank to obtain individual exposure at multiple daily locations; This study will use health data linked at the individual level to explore associations between air pollution, related morbidity, and educational attainment.
机译:引言缺乏证据表明空气污染会对与空气质量相关的健康状况的人们的认知产生不利影响。我们建议,随着空气质量的改善,作为认知的代表的受教育程度可能会增加。这项研究将探讨哮喘和季节性变应性鼻炎(如果因急性暴露于空气污染而加剧)是否与受教育程度有关。目的描述准备个人和家庭级链接的环境和健康数据,以在匿名的安全港内进行分析。还介绍我们的研究统计分析计划:认知,呼吸道疾病和eXposure的影响(CORTEX)。方法我们将日常空气污染和空气过敏原数据以及个人水平教育数据导入SAIL数据库,SAIL数据库是基于人的记录的匿名安全港。我们将个人水平的教育,社会经济和健康数据与家庭和学校所在地的空气质量数据相关联,为整个城市的个人量身定制了暴露量。我们在重复的横断面测试队列(2009-2015年)中为所有学生开发了每日暴露数据。结论我们已经使用了SAIL数据库,这是一个创新的数据安全港,可在多个日常家庭和学校场所创建个人级别的空气污染和花粉暴露。该分析平台将使我们能够回顾性评估空气质量对多个横断面学生群体的学习成绩的影响。我们的方法将使我们能够区分污染对有或没有呼吸健康状况的学生的教育程度的影响。这项研究的结果将使我们进一步了解空气质量和与呼吸有关的健康状况对认知的影响。要点这项全市范围的研究包括纵向记录的针对所有七年以上考试学生的常规教育成绩数据;将高空间分辨率的空气污染数据链接到受隐私保护的数据库中,以获取多个每日位置的个人暴露情况;这项研究将使用在个人层面链接的健康数据来探索空气污染,相关发病率和受教育程度之间的关联。

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