Evidence map›Paper›PMID 36340862›Full record

ArticleEnvironmental research letters : ERL [Web site]2022

Residential exposure to petroleum refining and stroke in the southern United States.

Honghyok Kim, Natalia Festa, Kate Burrows, Dae Cheol Kim, Thomas M Gill, Michelle L Bell

Open access · goldAbstract read
In one paragraph

Article in Environmental research letters : ERL [Web site], 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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 at 3 institutions in 3 countries.

Honghyok KimSchool of the Environment, Yale University, New Haven, CT, the United States.
Natalia FestaVeterans Affairs (VA) Office of Academic Affiliations through the VA/National Clinician Scholars Program and Yale University.
Kate BurrowsThe Institute at Brown University for Environment and Society, Providence, RI, the United States.
Dae Cheol KimGraduate School of Public Health, Seoul National University, Seoul, South Korea.
Thomas M GillDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Michelle L BellSchool of the Environment, Yale University, New Haven, CT, the United States.
Yale University · USBrown University · USSeoul National University · KR

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
NRSA Training CoreTL1TR001864 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$9.9M
Yale Training Program in Geriatric Clinical Epidemiology and Aging-Related ResearchT32AG019134 · NIA · YALE UNIVERSITY · PI Terri R. Fried · 2001 to 2026
$7.5M
Environmental Health Disparities in an Older PopulationR01MD012769 · NIMHD · YALE UNIVERSITY · PI BELL, MICHELLE L · 2017 to 2021
$3.9M
NCATS NIH HHS TL1 TR001864NIA NIH HHS P30 AG021342NIA NIH HHS T32 AG019134NIMHD NIH HHS R01 MD012769
6 · The paper itself

Abstract

backgroundThe southern United States (U.S.) sustains a disproportionate burden of incident stroke and associated mortality, compared to other parts of the U.S. A large proportion of this risk remains unexplained. Petroleum production and refining (PPR) is concentrated within this region and emits multiple pollutants implicated in stroke pathogenesis. The relationship between residential PPR exposure and stroke has not been studied.

objectiveWe aimed to investigate the census tract-level association between residential PPR exposure and stroke prevalence for adults (≥18 years) in seven southern U.S. states in 2018.

methodsWe conducted spatial distance- and generalized propensity score-matched analysis that adjusts for sociodemographic factors, smoking, and unmeasured spatial confounding. PPR was measured as inverse-distance weighted averages of petroleum production within 2.5km or 5km from refineries, which was strongly correlated with measured levels of sulfur dioxide, a byproduct of PPR.

resultsThe prevalence of self-reported stroke ranged from 0.4% to 12.7% for all the census tracts of the seven states. People with low socioeconomic status and of Hispanic ethnicity resided closer to petroleum refineries. The non-Hispanic Black population was exposed to higher PPR, while the non-Hispanic White population was exposed to lower PPR. Residential PPR exposure was significantly associated with stroke prevalence. One standard deviation increase in PPR within 5km from refineries was associated with 0.22 (95% confidence interval: 0.09, 0.34) percentage point increase in stroke prevalence. PPR explained 5.6% (2.4, 8.9) of stroke prevalence in the exposed areas. These values differed by states: 1.1% (0.5, 1.7) in Alabama to 11.7% (4.9, 18.6) in Mississippi, and by census tract-level: 0.08% (0.03, 0.13) to 25.3% (10.6, 40.0).

conclusionsPPR is associated with self-reported stroke prevalence, suggesting possible links between pollutants emitted from refineries and stroke. The increased prevalence due to PPR may differ by sociodemographic factors.

Indexed as

Environmental justiceEnvironmental pollutionOil industryPetroleum refinerySmall-area variation in strokeStroke Belt

Identifiers

PMID36340862
PMCPMC9629383
OpenAlexW4290964359

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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.