Juarez Paul D, Matthews-Juarez Patricia, Hood Darryl B, Im Wansoo, Levine Robert S, Kilbourne Barbara J, Langston Michael A, Al-Hamdan Mohammad Z, Crosson William L, Estes Maurice G, Estes Sue M, Agboto Vincent K, Robinson Paul, Wilson Sacoby, Lichtveld Maureen Y
Research Center on Health Disparities, Equity, and the Exposome, University of Tennessee Health Science Center, 66 N. Pauline, Memphis, TN 38105, USA.
Department of Environmental Health Sciences, College of Public Health, Ohio State University, Columbus, OH 43210, USA.
Int J Environ Res Public Health. 2014 Dec 11;11(12):12866-95. doi: 10.3390/ijerph111212866. Print 2014 Dec.
The lack of progress in reducing health disparities suggests that new approaches are needed if we are to achieve meaningful, equitable, and lasting reductions. Current scientific paradigms do not adequately capture the complexity of the relationships between environment, personal health and population level disparities. The public health exposome is presented as a universal exposure tracking framework for integrating complex relationships between exogenous and endogenous exposures across the lifespan from conception to death. It uses a social-ecological framework that builds on the exposome paradigm for conceptualizing how exogenous exposures "get under the skin". The public health exposome approach has led our team to develop a taxonomy and bioinformatics infrastructure to integrate health outcomes data with thousands of sources of exogenous exposure, organized in four broad domains: natural, built, social, and policy environments. With the input of a transdisciplinary team, we have borrowed and applied the methods, tools and terms from various disciplines to measure the effects of environmental exposures on personal and population health outcomes and disparities, many of which may not manifest until many years later. As is customary with a paradigm shift, this approach has far reaching implications for research methods and design, analytics, community engagement strategies, and research training.
在减少健康差距方面缺乏进展表明,如果我们要实现有意义、公平且持久的减少,就需要新的方法。当前的科学范式未能充分体现环境、个人健康与人群层面差距之间关系的复杂性。公共卫生暴露组被提出作为一个通用的暴露追踪框架,用于整合从受孕到死亡的整个生命周期中外源性和内源性暴露之间的复杂关系。它采用了一种社会生态框架,该框架建立在暴露组范式之上,用于概念化外源性暴露如何“深入体内”。公共卫生暴露组方法促使我们的团队开发了一种分类法和生物信息学基础设施,以将健康结果数据与数千个外源性暴露源整合起来,这些暴露源分为四个广泛领域:自然环境、建筑环境、社会环境和政策环境。在一个跨学科团队的投入下,我们借鉴并应用了各学科的方法、工具和术语,以衡量环境暴露对个人和人群健康结果及差距的影响,其中许多影响可能要在多年后才会显现。正如范式转变的惯常情况一样,这种方法对研究方法与设计、分析、社区参与策略以及研究培训都具有深远影响。