Evidence map›Paper›PMID 40154786›Full record

ArticleEnvironmental research2025

Oil spill cleanup related exposures to benzene, toluene, ethylbenzene, xylenes, and n-hexane and incident diabetes mellitus.

Hanna V Jardel, Alexander P Keil, Chantel L Martin, David B Richardson, Mark R Stenzel, Patricia A Stewart, Kate E Christenbury, Lawrence S Engel, Dale P Sandler

Abstract read
In one paragraph

Article in Environmental research, 2025. 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

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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

9 authors.

Hanna V JardelDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA. Electronic address: jahan1@ad.unc.edu.
Alexander P KeilOccupational and Environmental Epidemiology Branch, National Cancer Institute Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA.
Chantel L MartinDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
David B RichardsonDepartment of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, USA.
Mark R StenzelExposure Assessment Applications, LLC, Arlington, VA, USA.
Patricia A StewartStewart Exposure Assessments, LLC, Arlington, VA, USA.
Kate E ChristenburyDLH, LLC, Bethesda, MD, USA.
Lawrence S EngelDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
Dale P SandlerEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.

Funding

Exposure to volatile organic compounds and glycemic dysregulation among oil spill cleanup workersF31ES033509 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JARDEL, HANNA · 2021 to 2023
$73k
NIEHS NIH HHS F31 ES033509
6 · The paper itself

Abstract

BACKGROUND AND

objectivesExposure to benzene, toluene, ethylbenzene, xylenes, and n-hexane (BTEX-H) may contribute to the development of diabetes. Oil spill response and cleanup (OSRC) workers are exposed to BTEX-H but there are few relevant studies. We studied incident diabetes over 10 years of follow-up among OSRC workers.

methodsThis analysis includes 21,726 participants (82.2 % male, mean age 39.9 years; 66.5 % White race) in the Gulf Long-term Follow-up Study - a prospective cohort of Deepwater Horizon (DWH) oil spill OSRC workers followed from 2011 to 2013 through 2021. Individual estimates of cumulative work-related exposures to specific BTEX-H chemicals and an aggregate sum (total BTEX-H) were derived from a job-exposure matrix that linked exposure group estimates derived from exposure measurements to self-reported DWH work histories. We used Cox models to estimate associations of quartiles of exposure to individual BTEX-H chemicals and total BTEX-H with diabetes incidence. We used quantile-based g-computation, quantifying associations with exposure to the BTEX-H chemicals, treating them as separate components in a mixture. We examined differences in associations by neighborhood disadvantage using the Area Deprivation Index (ADI) and by self-classified race in stratified analyses.

resultsExposure to the BTEX-H chemicals was associated with diabetes, with elevated hazard ratios for third and fourth quartiles of exposure compared to the first quartile. For example, total BTEX-H, Q3 and Q4 HRs were 1.10 95 %CI (0.91, 1.33) and 1.27 95 %CI (1.05, 1.53), respectively. The HR associated with a three-quartile increase in the BTEX-H mixture was 1.31 95 %CI (1.07, 1.59). Stratified analyses showed little variation by race and suggestions of variation by ADI.

conclusionExposures to BTEX-H chemicals were associated with incident diabetes among OSRC workers for the individual BTEX-H chemicals, total BTEX-H, and the BTEX-H mixture. The range of exposures in this study make these findings relevant to other low to moderate exposure settings.

Indexed as

Diabetes MellitusOccupational ExposurePetroleum PollutionAdultBenzeneBenzene DerivativesFemaleHexanesHumansIncidenceMaleMiddle AgedProspective StudiesTolueneXylenesBenzeneBenzene DerivativesethylbenzeneHexanesn-hexaneTolueneXylenesBTEX-HDiabetesMixtureOil spill cleanupQuantile g-computation

Identifiers

PMID40154786
PMCPMC12207681

What Socratic 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 Socratic graph.