Evidence map›Paper›PMID 41360727›Full record

ArticleAmerican journal of industrial medicine2026

Associations Between Oil Spill Exposure Patterns and Acute Symptoms in United States Coast Guard Responders During the Deepwater Horizon Response.

Matthew Horch, Matthew O Gribble, Jordan McAdam, Dana L Thomas, Lawrence S Engel, Jennifer A Rusiecki

Abstract read
In one paragraph

Article in American journal of industrial medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Matthew HorchDepartment of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.ORCID 0009-0001-9620-597X
Matthew O GribbleDepartment of Medicine, Division of Occupational, Environmental and Climate Medicine, University of California, San Francisco, California, USA.
Jordan McAdamHenry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, Maryland, USA.
Dana L ThomasUnited States Coast Guard Headquarters, Directorate of Health, Safety and Work Life, Washington, DC, USA.
Lawrence S EngelDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA.
Jennifer A RusieckiDepartment of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
Health Effects of the Deepwater Horizon Disaster:the Coast Guard Responder CohortR01ES020874 · NIEHS · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI RUSIECKI, JENNIFER ANN · 2012 to 2016
$1.7M
NIEHS NIH HHS P30 ES010126NIEHS NIH HHS R01 ES020874This study was supported by a National Institutes of Health grant (R01ES020874). One of the authors (J.M.) was supported by a grant from the Henry M. Jackson Foundation for the Advancement of Military Medicine, award number HT94252320052.
6 · The paper itself

Abstract

backgroundOil spill response workers encounter a unique mixture of hazardous exposures. Few studies have attempted to model these mixtures and evaluate the impact on worker health. The purpose of this investigation was to understand the association between clustered patterns of hazardous exposure and acute symptoms reported by United States Coast Guard (USCG) responders during the Deepwater Horizon oil spill (DWHOS).

methodsWe conducted a cross-sectional study of USCG members who responded to the DWHOS and completed a post-deployment survey (n = 4855). The survey asked responders about a variety of hazardous exposures and acute symptoms experienced during their deployment. A previously-conducted latent class analysis identified four unique latent classes (LC) which represent reported exposure patterns within this study population. We utilized the three higher LC levels to represent increasing probabilities of exposures to crude oil, exhaust, general outdoor environment, and experience of anxiety, with a "low overall exposure" group acting as the reference. For the present analysis, participants were assigned their most probable LC. Using multivariable log-binomial regression analyses, adjusted prevalence ratios (aPR) of acute symptoms in each most probable LC compared to the reference LC were estimated.

resultsThere were significant positive associations between most probable LCs and acute symptoms in all major organ systems with evidence of exposure-response relationships. Some of the strongest associations for individual acute symptoms representative of each organ system included chest pain, skin rash/itching, difficulty hearing, diarrhea, muscle pain, lightheadedness/dizziness, and shortness of breath.

conclusionsThis study broadens the current understanding of oil spill response work hazards by focusing on a more holistic exposure assessment, modeled by most probable LC-derived exposure patterns.

Indexed as

Emergency RespondersMilitary PersonnelOccupational DiseasesOccupational ExposurePetroleum PollutionAdultCross-Sectional StudiesFemaleGulf of AmericaHumansMaleMiddle AgedSurveys and QuestionnairesUnited StatesDeepwater Horizondisaster responseexposure assessmentexposure mixtureslatent class analysisoil spill

Identifiers

PMID41360727
PMCPMC12959623

What OpenQuestion holds

Textmetadata
LicenceTDM
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.