Evidence map›Paper›PMID 33009797›Full record

ArticleAnnals of work exposures and health2022

Estimates of Occupational Inhalation Exposures to Six Oil-Related Compounds on the Four Rig Vessels Responding to the Deepwater Horizon Oil Spill.

Tran B Huynh, Caroline P Groth, Gurumurthy Ramachandran, Sudipto Banerjee, Mark Stenzel, Harrison Quick, Aaron Blair, Lawrence S Engel, Richard K Kwok, Dale P Sandler and 1 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Annals of work exposures and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.1field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Exposure Group Development in Support of the NIEHS GuLF Study.Annals of work exposures and health · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 1 country.

Tran B HuynhDepartment of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA.
Caroline P GrothDepartment of Biostatistics, School of Public Health, West Virginia University, Morgantown, WV 26506-9190, USA.
Gurumurthy RamachandranDepartment of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.
Sudipto BanerjeeDepartment of Biostatistics, UCLA Fielding School of Public Health, University of California-Los Angeles, Los Angeles, CA 90095, USA.
Mark StenzelExposure Assessment Applications, LLC, Arlington, VA 22207, USA.
Harrison QuickDepartment of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA.
Aaron BlairNational Cancer Institute, Occupational and Environmental Epidemiology Branch, Gaithersburg, MN 20892, USA.
Lawrence S EngelNational Institute of Environmental Health Sciences, Epidemiology Branch, Research Triangle Park, NC 27709, USA.
Richard K KwokNational Institute of Environmental Health Sciences, Epidemiology Branch, Research Triangle Park, NC 27709, USA.
Dale P SandlerNational Institute of Environmental Health Sciences, Epidemiology Branch, Research Triangle Park, NC 27709, USA.
Patricia A StewartStewart Exposure Assessments, LLC, Arlington, VA 22207, USA.
National Institute of Environmental Health Sciences · USDrexel University · USJohns Hopkins University · USNational Cancer Institute · USUniversity of California, Los Angeles · USWest Virginia University · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Gulf Longitudinal Follow-up (GuLF) Worker StudyZIAES102945 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SANDLER, DALE P · 2010 to 2025
$15.3M
Hierarchical Modeling and Analysis for Large Spatially and Temporally Misaligned Data in Environmental Health ApplicationsR01ES027027 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BANERJEE, SUDIPTO · 2017 to 2021
$1.7M
Flexible Bayesian Hierarchical Models for Estimating Inhalation ExposuresR01ES030210 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BANERJEE, SUDIPTO · 2019 to 2022
$1.6M
ACL HHS K01OH011191Intramural NIH HHS ZIA ES102945NIEHS NIH HHS P30 ES010126NIEHS NIH HHS R01 ES027027NIEHS NIH HHS R01 ES030210NIEHS NIH HHS ZIA ES102945NIOSH CDC HHS K01 OH011191
6 · The paper itself

Abstract

backgroundThe 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.

objectivesThe 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.

methodsUsing 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.

resultsHighest 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.

conclusionsOur 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.

Indexed as

Occupational ExposurePetroleum PollutionBayes TheoremBenzeneHumansInhalation ExposureProspective StudiesBenzeneBayesian methodsbenzeneBTEXcensored dataDeepwater Horizonethylbenzenen-hexaneoil spill inhalation exposuretoluenetotal hydrocarbons (THCs)xylene

Identifiers

PMID33009797
PMCPMC8989034
OpenAlexW3089460412

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.