Deveau Michelle, Maier Andrew, Krewski Daniel
McLaughlin Centre for Population Health Risk Assessment, University of Ottawa, Ottawa, K1N 6N5, Canada.
Department of Environmental Health, College of Medicine, University of Cincinnati, Cincinnati, OH, 45267-0056, United States.
Neurotoxicology. 2017 Jan;58:249-256. doi: 10.1016/j.neuro.2016.09.014. Epub 2016 Sep 20.
Occupational exposure limits (OELs) serve as benchmarks for the interpretation of workplace exposures within a health risk context. Different organizations derive OELs for many chemicals, including manganese. OELs recommended by different organizations can vary quantitatively, which can present a challenge to occupational hygienists or other risk managers that need to select a value for decision-making purposes. In this article, we illustrate the application of a previously-developed OEL selection framework to demonstrate the decisions that would be required to select the most appropriate OEL for various manganese exposure scenarios. The framework helped to identify the need to focus an evaluation on three quantitatively similar values-the ACGIH TLV, SCOEL IOELV, and DFG MAK. These values were compared with regulatory standards and considered for their relevance and reliability. The OEL selection framework was a useful tool in guiding the selection process for manganese OELs.
职业接触限值(OELs)是在健康风险背景下解释工作场所接触情况的基准。不同组织针对包括锰在内的许多化学物质制定了职业接触限值。不同组织推荐的职业接触限值在数量上可能有所不同,这可能给需要选择一个值用于决策目的的职业卫生学家或其他风险管理者带来挑战。在本文中,我们阐述了一个先前开发的职业接触限值选择框架的应用,以展示为各种锰接触场景选择最合适职业接触限值所需做出的决策。该框架有助于确定需要将评估重点放在三个数量上相近的值上——美国政府工业卫生学家会议(ACGIH)的阈限值(TLV)、欧洲职业卫生科学委员会(SCOEL)的职业接触限值(IOELV)和德国研究委员会(DFG)的最高工作场所浓度(MAK)。将这些值与监管标准进行了比较,并考虑了它们的相关性和可靠性。职业接触限值选择框架是指导锰职业接触限值选择过程的有用工具。