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  • 标题:Assessing Cumulative Health Risks from Exposure to Environmental Mixtures—Three Fundamental Questions
  • 作者:Ken Sexton ; Dale Hattis
  • 期刊名称:Environmental Health Perspectives
  • 印刷版ISSN:0091-6765
  • 电子版ISSN:1552-9924
  • 出版年度:2007
  • 卷号:115
  • 期号:5
  • 页码:825-832
  • DOI:10.1289/ehp.9333
  • 语种:English
  • 出版社:OCR Subscription Services Inc
  • 摘要:Differential exposure to mixtures of environmental agents, including biological, chemical, physical, and psychosocial stressors, can contribute to increased vulnerability of human populations and ecologic systems. Cumulative risk assessment is a tool for organizing and analyzing information to evaluate the probability and seriousness of harmful effects caused by either simultaneous and/or sequential exposure to multiple environmental stressors. In this article we focus on elucidating key challenges that must be addressed to determine whether and to what degree differential exposure to environmental mixtures contributes to increased vulnerability of exposed populations. In particular, the emphasis is on examining three fundamental and interrelated questions that must be addressed as part of the process to assess cumulative risk: a ) Which mixtures are most important from a public health perspective? and b ) What is the nature (i.e., duration, frequency, timing) and magnitude (i.e., exposure concentration and dose) of relevant cumulative exposures for the population of interest? c ) What is the mechanism (e.g., toxicokinetic or toxicodynamic) and consequence (e.g., additive, less than additive, more than additive) of the mixture’s interactive effects on exposed populations? The focus is primarily on human health effects from chemical mixtures, and the goal is to reinforce the need for improved assessment of cumulative exposure and better understanding of the biological mechanisms that determine toxicologic interactions among mixture constituents.
  • 关键词:chemical mixtures; combined effects; cumulative exposure; cumulative risk; environmental mixtures; interaction mechanisms; multiple stressors; risk ssessment
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