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Estimates of Inhalation Exposures to Oil-Related Components on the Supporting Vessels During the Deepwater Horizon Oil Spill.在深水地平线溢油事件期间,支撑船只上与油相关成分的吸入暴露评估。
Ann Work Expo Health. 2022 Apr 7;66(Suppl 1):i111-i123. doi: 10.1093/annweh/wxaa113.
10
Estimates of Occupational Inhalation Exposures to Six Oil-Related Compounds on the Four Rig Vessels Responding to the Deepwater Horizon Oil Spill.估算在应对深水地平线溢油事故的四艘钻井平台上,六种与油相关的化合物的职业吸入暴露情况。
Ann Work Expo Health. 2022 Apr 7;66(Suppl 1):i89-i110. doi: 10.1093/annweh/wxaa072.

支持 NIEHS 海湾研究的暴露组开发。

Exposure Group Development in Support of the NIEHS GuLF Study.

机构信息

Exposure Assessment Applications, LLC, 6045 N. 27th. St., Arlington, VA, 22207, USA.

Department of Epidemiology and Biostatistics, WVU School of Public Health, West Virginia University, One Medical Center Drive, Morgantown, WV 26506, USA.

出版信息

Ann Work Expo Health. 2022 Apr 7;66(Suppl 1):i23-i55. doi: 10.1093/annweh/wxab093.

DOI:10.1093/annweh/wxab093
PMID:35390128
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8989038/
Abstract

In the GuLF Study, a study investigating possible adverse health effects associated with work on the oil spill response and clean-up (OSRC) following the Deepwater Horizon disaster in the Gulf of Mexico, we used a job-exposure matrix (JEM) approach to estimate exposures. The JEM linked interview responses of study participants to measurement data through exposure groups (EGs). Here we describe a systematic process used to develop transparent and precise EGs that allowed characterization of exposure levels among the large number of OSRC activities performed across the Gulf of Mexico over time and space. EGs were identified by exposure determinants available to us in our measurement database, from a substantial body of other spill-related information, and from responses provided by study participants in a detailed interview. These determinants included: job/activity/task, vessel and type of vessel, weathering of the released oil, area of the Gulf of Mexico, Gulf coast state, and time period. Over 3000 EGs were developed for inhalation exposure and applied to each of 6 JEMs of oil-related substances (total hydrocarbons, benzene, toluene, ethylbenzene, total xylene, and n-hexane). Subsets of those EGs were used for characterization of exposures to dispersants, particulate matter, and oil mist. The EGs allowed assignment to study participants of exposure estimates developed from measurement data or from estimation models through linkage in the JEM for the investigation of exposure-response relationships.

摘要

在 Gulf 研究中,我们调查了与墨西哥湾深海地平线灾难后的石油泄漏响应和清理 (OSRC) 相关的可能不良健康影响,使用职业暴露矩阵 (JEM) 方法来估计暴露情况。JEM 通过暴露组 (EG) 将研究参与者的访谈回复与测量数据联系起来。在这里,我们描述了一个系统的过程,用于开发透明和精确的 EG,以便在时间和空间上描述在墨西哥湾进行的大量 OSRC 活动中的暴露水平。EG 是通过我们在测量数据库中可用的暴露决定因素、大量其他与溢油相关的信息以及研究参与者在详细访谈中提供的回复来确定的。这些决定因素包括:工作/活动/任务、船只和船只类型、释放的油的风化、墨西哥湾地区、墨西哥湾沿岸州和时间段。针对吸入暴露开发了 3000 多个 EG,并应用于 6 个与石油相关物质的 JEM(总碳氢化合物、苯、甲苯、乙苯、总二甲苯和正己烷)。其中的一些 EG 子集用于描述分散剂、颗粒物和油雾的暴露情况。EG 允许通过 JEM 中的链接将测量数据或估算模型开发的暴露估计分配给研究参与者,以调查暴露-反应关系。