Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA.
Department of Biostatistics, School of Public Health, West Virginia University, Morgantown, WV 26506-9190, USA.
Ann Work Expo Health. 2022 Apr 7;66(Suppl 1):i89-i110. doi: 10.1093/annweh/wxaa072.
The 2010 Deepwater Horizon (DWH) oil spill involved thousands of workers and volunteers to mitigate the oil release and clean-up after the spill. Health concerns for these participants led to the initiation of a prospective epidemiological study (GuLF STUDY) to investigate potential adverse health outcomes associated with the oil spill response and clean-up (OSRC). Characterizing the chemical exposures of the OSRC workers was an essential component of the study. Workers on the four oil rig vessels mitigating the spill and located within a 1852 m (1 nautical mile) radius of the damaged wellhead [the Discoverer Enterprise (Enterprise), the Development Driller II (DDII), the Development Driller III (DDIII), and the HelixQ4000] had some of the greatest potential for chemical exposures.
The aim of this paper is to characterize potential personal chemical exposures via the inhalation route for workers on those four rig vessels. Specifically, we presented our methodology and descriptive statistics of exposure estimates for total hydrocarbons (THCs), benzene, toluene, ethylbenzene, xylene, and n-hexane (BTEX-H) for various job groups to develop exposure groups for the GuLF STUDY cohort.
Using descriptive information associated with the measurements taken on various jobs on these rig vessels and with job titles from study participant responses to the study questionnaire, job groups [unique job/rig/time period (TP) combinations] were developed to describe groups of workers with the same or closely related job titles. A total of 500 job groups were considered for estimation using the available 8139 personal measurements. We used a univariate Bayesian model to analyze the THC measurements and a bivariate Bayesian regression framework to jointly model the measurements of THC and each of the BTEX-H chemicals separately, both models taking into account the many measurements that were below the analytic limit of detection.
Highest THC exposures occurred in TP1a and TP1b, which was before the well was mechanically capped. The posterior medians of the arithmetic mean (AM) ranged from 0.11 ppm ('Inside/Other', TP1b, DDII; and 'Driller', TP3, DDII) to 14.67 ppm ('Methanol Operations', TP1b, Enterprise). There were statistical differences between the THC AMs by broad job groups, rigs, and time periods. The AMs for BTEX-H were generally about two to three orders of magnitude lower than the THC AMs, with benzene and ethylbenzene measurements being highly censored.
Our results add new insights to the limited literature on exposures associated with oil spill responses and support the current epidemiologic investigation of potential adverse health effects of the oil spill.
2010 年深水地平线(DWH)石油泄漏事件涉及数千名工人和志愿者,以减轻石油泄漏和泄漏后的清理工作。这些参与者的健康问题导致了一项前瞻性流行病学研究(GuLF 研究)的启动,以调查与石油泄漏应对和清理(OSRC)相关的潜在不良健康结果。描述 OSRC 工人的化学暴露是该研究的一个重要组成部分。位于受损井口 1852 米(1 海里)半径范围内的四口油井船只上的减轻泄漏的工人[发现者企业号(Enterprise)、开发钻机 II 号(DDII)、开发钻机 III 号(DDIII)和 HelixQ4000],具有最大的化学暴露潜在风险。
本文旨在通过吸入途径描述这四口钻井船上工人的潜在个人化学暴露情况。具体来说,我们提出了我们的方法,并介绍了各种作业组的总碳氢化合物(THC)、苯、甲苯、乙苯、二甲苯和正己烷(BTEX-H)暴露估计的描述性统计数据,以确定 GuLF 研究队列的暴露组。
使用与这些钻井船上各种作业相关的测量值以及研究参与者对研究问卷的回答中的作业标题的描述性信息,开发了作业组[独特的作业/钻机/时间周期(TP)组合]来描述具有相同或密切相关作业标题的工人群体。使用可用的 8139 个人测量值,共考虑了 500 个作业组进行估计。我们使用单变量贝叶斯模型分析 THC 测量值,并使用双变量贝叶斯回归框架分别联合模型化 THC 和每种 BTEX-H 化学物质的测量值,这两个模型都考虑了许多低于分析检测限的测量值。
最高的 THC 暴露发生在 TP1a 和 TP1b,这是在井口被机械封闭之前。算术平均值(AM)的后验中位数范围从 0.11ppm(“Inside/Other”,TP1b,DDII;和“Driller”,TP3,DDII)到 14.67ppm(“Methanol Operations”,TP1b,Enterprise)。根据广泛的作业组、钻机和时间周期,THC AM 之间存在统计学差异。BTEX-H 的 AM 通常比 THC AM 低两到三个数量级,苯和乙苯的测量值高度受限制。
我们的结果为与石油泄漏应对相关的暴露的有限文献提供了新的见解,并支持目前对石油泄漏潜在不良健康影响的流行病学调查。