Rigaud Maxime, Buekers Jurgen, Bessems Jos, Basagaña Xavier, Mathy Sandrine, Nieuwenhuijsen Mark, Slama Rémy
Inserm, University of Grenoble Alpes, CNRS, IAB, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, France.
VITO, Flemish Institute for Technological Research, Unit Health, Mol, Belgium.
Environ Health. 2024 Jan 27;23(1):13. doi: 10.1186/s12940-023-01039-x.
Once an external factor has been deemed likely to influence human health and a dose response function is available, an assessment of its health impact or that of policies aimed at influencing this and possibly other factors in a specific population can be obtained through a quantitative risk assessment, or health impact assessment (HIA) study. The health impact is usually expressed as a number of disease cases or disability-adjusted life-years (DALYs) attributable to or expected from the exposure or policy. We review the methodology of quantitative risk assessment studies based on human data. The main steps of such studies include definition of counterfactual scenarios related to the exposure or policy, exposure(s) assessment, quantification of risks (usually relying on literature-based dose response functions), possibly economic assessment, followed by uncertainty analyses. We discuss issues and make recommendations relative to the accuracy and geographic scale at which factors are assessed, which can strongly influence the study results. If several factors are considered simultaneously, then correlation, mutual influences and possibly synergy between them should be taken into account. Gaps or issues in the methodology of quantitative risk assessment studies include 1) proposing a formal approach to the quantitative handling of the level of evidence regarding each exposure-health pair (essential to consider emerging factors); 2) contrasting risk assessment based on human dose-response functions with that relying on toxicological data; 3) clarification of terminology of health impact assessment and human-based risk assessment studies, which are actually very similar, and 4) other technical issues related to the simultaneous consideration of several factors, in particular when they are causally linked.
一旦确定某个外部因素可能影响人类健康且有剂量反应函数可用,就可以通过定量风险评估或健康影响评估(HIA)研究,来评估其对健康的影响,或评估旨在影响该因素以及特定人群中其他可能因素的政策所产生的影响。健康影响通常表示为归因于暴露或政策或预期由暴露或政策导致的疾病病例数或伤残调整生命年(DALYs)。我们回顾基于人类数据的定量风险评估研究方法。此类研究的主要步骤包括定义与暴露或政策相关的反事实情景、暴露评估、风险量化(通常依赖基于文献的剂量反应函数)、可能的经济评估,随后进行不确定性分析。我们讨论与因素评估的准确性和地理范围相关的问题并提出建议,这些因素会强烈影响研究结果。如果同时考虑多个因素,那么应考虑它们之间的相关性、相互影响以及可能的协同作用。定量风险评估研究方法中的差距或问题包括:1)提出一种正式方法,对每个暴露 - 健康对的证据水平进行定量处理(这对于考虑新出现的因素至关重要);2)对比基于人类剂量反应函数的风险评估与依赖毒理学数据的风险评估;3)澄清健康影响评估和基于人类的风险评估研究的术语,实际上它们非常相似;4)与同时考虑多个因素相关的其他技术问题,特别是当它们存在因果联系时。