Meta-Analytic Approaches for Multistressor Dose-Response Function Development: Strengths, Limitations, and Case Studies.
Meta-Analytic Approaches for Multistressor Dose-Response Function Development: Strengths, Limitations, and Case Studies.
复制标题
多应激剂量反应函数开发的荟萃分析方法：优点、局限性和案例研究。
DOI：
10.1111/risa.12208
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Peters,JunenetteL
中科院分区：
文献类型：
--
作者：
Levy,JonathanI;Fabian,MPatricia;Peters,JunenetteL
对于许多政策分析，包括但不限于累积风险评估，重要的是要描述多种压力因素对个人和联合健康的影响。随着对心理社会和其他非化学应激源的关注日益增加，这通常包括流行病学Meta分析。如果流行病学研究不包括所有感兴趣的压力源，或者没有以风险评估所需的格式提供多变量输出，则Meta分析具有局限性。鉴于这些局限性，通常需要新的分析方法来综合已发表的文献或建立在现有证据的基础上。在这篇文章中，我们讨论了最近的三个案例研究，突出了Meta分析方法和其他研究综合技术在人类健康风险评估应用中的优势和局限性。首先，在风险评估背景下进行的基于文献的Meta分析为细颗粒物成分差异毒性的新流行病学研究设计提供了信息。其次，基于效应的高血压危险因素累积风险评估的文献综合导致决定使用结构方程模型开发新的流行病学关联。第三，离散事件模拟模型用于模拟建筑环境变化对环境暴露和相关哮喘结局的影响，将关键关联的文献Meta分析与模拟模型相关联，以综合所有模型组件。这些案例研究强调了开展流行病学时考虑到风险评估应用的重要性、跨学科合作的必要性以及先进分析方法在综合流行病学和其他证据以用于风险评估应用方面的价值。
For many policy analyses, including but not limited to cumulative risk assessments, it is important to characterize the individual and joint health effects of multiple stressors. With an increasing focus on psychosocial and other nonchemical stressors, this often includes epidemiological meta‐analysis. Meta‐analysis has limitations if epidemiological studies do not include all of the stressors of interest or do not provide multivariable outputs in a format necessary for risk assessment. Given these limitations, novel analytical methods are often needed to synthesize the published literature or to build upon available evidence. In this article, we discuss three recent case studies that highlight the strengths and limitations of meta‐analytic approaches and other research synthesis techniques for human health risk assessment applications. First, a literature‐based meta‐analysis within a risk assessment context informed the design of a new epidemiological investigation of the differential toxicity of fine particulate matter constituents. Second, a literature synthesis for an effects‐based cumulative risk assessment of hypertension risk factors led to a decision to develop new epidemiological associations using structural equation modeling. Third, discrete event simulation modeling was used to simulate the impact of changes in the built environment on environmental exposures and associated asthma outcomes, linking literature meta‐analyses for key associations with a simulation model to synthesize all of the model components. These case studies emphasize the importance of conducting epidemiology with a risk assessment application in mind, the need for interdisciplinary collaboration, and the value of advanced analytical methods to synthesize epidemiological and other evidence for risk assessment applications.