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天生聪慧:一项用于评估可改变的早期环境暴露对儿童健康与发育影响的人口登记数据关联协议。

Born to be Wise: a population registry data linkage protocol to assess the impact of modifiable early-life environmental exposures on the health and development of children.

作者信息

van den Bosch Matilda, Brauer Michael, Burnett Rick, Davies Hugh W, Davis Zoe, Guhn Martin, Jarvis Ingrid, Nesbitt Lorien, Oberlander Tim, Rugel Emily, Sbihi Hind, Su Jason G, Jerrett Michael

机构信息

The School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.

The Department of Forest and Conservation Sciences, The University of British Columbia, Vancouver, British Columbia, Canada.

出版信息

BMJ Open. 2018 Dec 14;8(12):e026954. doi: 10.1136/bmjopen-2018-026954.

Abstract

INTRODUCTION

Deficiencies in childhood development is a major global issue and inequalities are large. The influence of environmental exposures on childhood development is currently insufficiently explored. This project will analyse the impact of various modifiable early life environmental exposures on different dimensions of childhood development.

METHODS

Born to be Wise will study a Canadian cohort of approximately 34 000 children who have completed an early development test at the age of 5. Land use regression models of air pollution and spatially defined noise models will be linked to geocoded data on early development to analyse any harmful effects of these exposures. The potentially beneficial effect on early development of early life exposure to natural environments, as measured by fine-grained remote sensing data and various land use indexes, will also be explored. The project will use data linkages and analyse overall and age-specific impact, including variability depending on cumulative exposure by assigning time-weighted exposure estimates and by studying subsamples who have changed residence and exposure. Potentially moderating effects of natural environments on air pollution or noise exposures will be studied by mediation analyses. A matched case-control design will be applied to study moderating effects of natural environments on the association between low socioeconomic status and early development. The main statistical approach will be mixed effects models, applying a specific software to deal with multilevel random effects of nested data. Extensive confounding control will be achieved by including data on a range of detailed health and sociodemographic variables.

ETHICS AND DISSEMINATION

The study protocol has been ethically approved by the Behavioural Research Ethics Board at the University of British Columbia. The findings will be published in peer-reviewed journals and presented at scholarly conferences. Through stakeholder engagement, the results will also reach policy and a broader audience.

摘要

引言

儿童发育缺陷是一个重大的全球性问题,且存在巨大的不平等现象。目前对环境暴露对儿童发育的影响研究不足。本项目将分析各种可改变的早期生活环境暴露对儿童发育不同维度的影响。

方法

“天生聪慧”项目将研究一个约34000名加拿大儿童的队列,这些儿童在5岁时完成了一项早期发育测试。空气污染的土地利用回归模型和空间定义的噪声模型将与早期发育的地理编码数据相链接,以分析这些暴露的任何有害影响。还将探索通过细粒度遥感数据和各种土地利用指数衡量的早期生活接触自然环境对早期发育的潜在有益影响。该项目将使用数据链接并分析总体和特定年龄的影响,包括根据累积暴露的变异性,通过分配时间加权暴露估计值以及研究改变居住和暴露情况的子样本。将通过中介分析研究自然环境对空气污染或噪声暴露的潜在调节作用。将采用匹配病例对照设计来研究自然环境对社会经济地位低下与早期发育之间关联的调节作用。主要统计方法将是混合效应模型,应用特定软件处理嵌套数据的多级随机效应。通过纳入一系列详细的健康和社会人口统计学变量的数据,将实现广泛的混杂控制。

伦理与传播

该研究方案已获得英属哥伦比亚大学行为研究伦理委员会的伦理批准。研究结果将发表在同行评审期刊上,并在学术会议上展示。通过与利益相关者的互动,研究结果还将传达给政策制定者和更广泛的受众。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c86/6303566/f0e309932813/bmjopen-2018-026954f01.jpg

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