早期环境质量和终生心理健康影响:平等生活项目。

IF 3.3 Q2 ENVIRONMENTAL SCIENCES
Environmental Epidemiology Pub Date : 2021-12-16 eCollection Date: 2022-02-01 DOI:10.1097/EE9.0000000000000183
Irene van Kamp, Kerstin Persson Waye, Katja Kanninen, John Gulliver, Alessandro Bozzon, Achilleas Psyllidis, Hendriek Boshuizen, Jenny Selander, Peter van den Hazel, Marco Brambilla, Maria Foraster, Jordi Julvez, Maria Klatte, Sonja Jeram, Peter Lercher, Dick Botteldooren, Gordana Ristovska, Jaakko Kaprio, Dirk Schreckenberg, Maarten Hornikx, Janina Fels, Miriam Weber, Ella Braat-Eggen, Julia Hartmann, Charlotte Clark, Tanja Vrijkotte, Lex Brown, Gabriele Bolte
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引用次数: 11

摘要

背景:越来越多的证据表明,儿童成长环境中各种因素的复杂相互作用,导致儿童的心理健康和认知发展欠佳。终生接触的概念有助于研究物质和社会环境,包括社会不平等,对长期认知发展和心理健康的影响。方法:平等生活开发和测试综合暴露及其对儿童心理健康和认知发展的影响。来自8个出生队列和3个学校研究(N = 24万)的数据与暴露数据相关联,将为迄今尚未开发的不同规模水平和时间框架的身体和社会暴露方面提供见解和政策指导,同时考虑到社会不平等。从结果的角度推理,相关利益相关者参与研究问题的制定和验证,并参与环境危害的制定。暴露评估将基于gis的环境指标与组学方法和新数据源相结合,形成了生命早期暴露。统计工具集成了不同时空粒度的数据,并将探索性机器学习模型与假设驱动的因果模型相结合。结论:平等生活通过以下方式促进暴露体概念的发展和利用:(1)整合内部、身体和社会暴露体;(2)研究对儿童发展和心理健康的一套不同的生命历程影响;(3)描述儿童在不同发展阶段和不同活动空间的环境特征;(4)关注儿童发展的支持性环境,而不仅仅是污染物;具有新颖效果标记的社会指标,并使用新的数据来源描述儿童活动模式和环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Early environmental quality and life-course mental health effects: The Equal-Life project.

Early environmental quality and life-course mental health effects: The Equal-Life project.

Early environmental quality and life-course mental health effects: The Equal-Life project.

Background: There is increasing evidence that a complex interplay of factors within environments in which children grows up, contributes to children's suboptimal mental health and cognitive development. The concept of the life-course exposome helps to study the impact of the physical and social environment, including social inequities, on cognitive development and mental health over time.

Methods: Equal-Life develops and tests combined exposures and their effects on children's mental health and cognitive development. Data from eight birth-cohorts and three school studies (N = 240.000) linked to exposure data, will provide insights and policy guidance into aspects of physical and social exposures hitherto untapped, at different scale levels and timeframes, while accounting for social inequities. Reasoning from the outcome point of view, relevant stakeholders participate in the formulation and validation of research questions, and in the formulation of environmental hazards. Exposure assessment combines GIS-based environmental indicators with omics approaches and new data sources, forming the early-life exposome. Statistical tools integrate data at different spatial and temporal granularity and combine exploratory machine learning models with hypothesis-driven causal modeling.

Conclusions: Equal-Life contributes to the development and utilization of the exposome concept by (1) integrating the internal, physical and social exposomes, (2) studying a distinct set of life-course effects on a child's development and mental health (3) characterizing the child's environment at different developmental stages and in different activity spaces, (4) looking at supportive environments for child development, rather than merely pollutants, and (5) combining physical, social indicators with novel effect markers and using new data sources describing child activity patterns and environments.

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来源期刊
Environmental Epidemiology
Environmental Epidemiology Medicine-Public Health, Environmental and Occupational Health
CiteScore
5.70
自引率
2.80%
发文量
71
审稿时长
25 weeks
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