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. 2017 Apr;125(4):570-578.
doi: 10.1289/EHP715. Epub 2017 Mar 31.

The GuLF STUDY: A Prospective Study of Persons Involved in the Deepwater Horizon Oil Spill Response and Clean-Up

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Free PMC article

The GuLF STUDY: A Prospective Study of Persons Involved in the Deepwater Horizon Oil Spill Response and Clean-Up

Richard K Kwok et al. Environ Health Perspect. .
Free PMC article

Abstract

Background: The 2010 Deepwater Horizon disaster led to the largest ever marine oil spill. Individuals who worked on the spill were exposed to toxicants and stressors that could lead to adverse effects.

Objectives: The GuLF STUDY was designed to investigate relationships between oil spill exposures and multiple potential physical and mental health effects.

Methods: Participants were recruited by telephone from lists of individuals who worked on the oil spill response and clean-up or received safety training. Enrollment interviews between 2011 and 2013 collected information about spill-related activities, demographics, lifestyle, and health. Exposure measurements taken during the oil spill were used with questionnaire responses to characterize oil exposures of participants. Participants from Gulf states completed a home visit in which biological and environmental samples, anthropometric and clinical measurements, and additional health and lifestyle information were collected. Participants are being followed for changes in health status.

Results: Thirty-two thousand six hundred eight individuals enrolled in the cohort, and 11,193 completed a home visit. Most were young (56.2% ≤ 45 years of age), male (80.8%), lived in a Gulf state (82.3%), and worked at least 1 day on the oil spill (76.5%). Workers were involved in response (18.0%), support operations (17.5%), clean-up on water (17.4%) or land (14.6%), decontamination (14.3%), and administrative support (18.3%). Using an ordinal job exposure matrix, 45% had maximum daily total hydrocarbon exposure levels ≥ 1.0 ppm.

Conclusions: The GuLF STUDY provides a unique opportunity to study potential adverse health effects from the Deepwater Horizon oil spill.

Conflict of interest statement

M.R.S. provided a deposition for the Celanese Chemical Company, which has no oil or gas holdings, in August 2016. During this deposition, M.R.S. served as a corporate representative and not an expert witness on Celanese’s asbestos related practices during the 1950s–1970s. M.R.S. worked for Celanese Chemical Group from 1972 to 1992 as the Manager of Industrial Hygiene. The other authors declare they have no actual or potential competing financial interests.

Figures

Figure 1
Figure 1
Residential location of GuLF STUDY participants across the United States, 2011–2013.
Figure 2
Figure 2
Residential location of GuLF STUDY home visit participants, 2011–2013.

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References

    1. Aguilera F, Méndez J, Pásaro E, Laffon B. Review on the effects of exposure to spilled oils on human health. J Appl Toxicol. 2010;30:291–301. - PubMed
    1. Engel LS, Kwok RK, Miller AK, Blair A, Curry MD, McGrath JA, et al. In press. The Gulf long-term follow-up study (GuLF STUDY): biospecimen collection at enrollment. J Toxicol Environ Health A. - PMC - PubMed
    1. Funk R, Groenewold M, Laber P. Atlanta, GA: U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health; 2011. NIOSH Deepwater Horizon Roster Summary Report. DHHS (NIOSH) Publication No. 2011-175. https://www.cdc.gov/niosh/docs/2011-175/pdfs/2011-175.pdf [accessed 31 January 2017]
    1. Hamilton CM, Strader LC, Pratt JG, Maiese D, Hendershot T, Kwok RK, et al. The PhenX Toolkit: get the most from your measures. Am J Epidemiol. 2011;174:253–260. - PMC - PubMed
    1. Huynh T, Quick H, Ramachandran G, Banerjee S, Stenzel M, Sandler DP, et al. A comparison of the β-substitution method and a Bayesian method for analyzing left-censored data. Ann Occup Hyg. 2016;60:56–73. - PMC - PubMed

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