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儿童健康结局的环境影响研究计划的测量框架。

Measurement framework for the Environmental influences on Child Health Outcomes research program.

机构信息

Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.

出版信息

Curr Opin Pediatr. 2018 Apr;30(2):276-284. doi: 10.1097/MOP.0000000000000606.

Abstract

PURPOSE OF REVIEW

Diverse methodological approaches pose significant challenges to assess environmental exposure effects on child health outcomes. Although transdisciplinary research efforts offer unique opportunities for understanding the complex and multidimensional facets of lifespan health and disease trajectories, a shared measurement strategy is necessary for ensuring cohesion and comprehensibility across disciplines and domains.

RECENT FINDINGS

Exposure science often focuses on one life stage, one primary outcome domain and/or one environmental context without regard for understanding the complexity of exposome pathways and outcomes across a developmental continuum. As part of the National Institutes of Health Environmental influences on Child Health Outcomes Program, the Person Reported Outcomes Core developed a unifying measurement framework that takes a lifespan development approach to assess physical, mental and social health outcomes within the complex matrix of environmental exposure pathways.

SUMMARY

The proposed framework offers a shared methodological approach to health outcome assessment, with a particular emphasis on person-reported outcomes. This framework will be instrumental for future large-scale consortia and transdisciplinary team science efforts by providing a common structure, measurement guidance and consistent terminology.

摘要

目的综述

不同的方法学方法对评估环境暴露对儿童健康结果的影响构成了重大挑战。虽然跨学科研究努力为理解寿命健康和疾病轨迹的复杂和多维方面提供了独特的机会,但为了确保跨学科和领域的凝聚力和可理解性,需要采用共享的测量策略。

最近的发现

暴露科学通常关注一个生命阶段、一个主要的结果领域和/或一个环境背景,而不考虑理解发育连续体中暴露组学途径和结果的复杂性。作为美国国立卫生研究院儿童健康结果的环境影响计划的一部分,个人报告结果核心制定了一个统一的测量框架,该框架采用生命周期发展方法来评估物理、心理和社会健康结果,这些结果处于环境暴露途径的复杂矩阵中。

总结

拟议的框架为健康结果评估提供了一种共享的方法学方法,特别强调了个人报告的结果。该框架将为未来的大型联盟和跨学科团队科学努力提供工具,为其提供共同的结构、测量指南和一致的术语。

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