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Geospatial Assessment of Pesticide Concentration in Ambient Air and Colorectal Cancer Incidence in Arkansas, 2013–2017

Bibliographic Data

ID15515214
AuthorsLihchyun Joseph Su (University of Arkansas for Medical Sciences), Sean G Young (0000-0002-0054-0627, University of Arkansas for Medical Sciences, corresponding author), Josephine Collins (0000-0003-0379-5083, Ouachita Baptist University), Eryn K Matich (University of Arkansas for Medical Sciences), Eryn Matich (University of Arkansas for Medical Sciences), Ping-Ching Hsu (0000-0002-1749-0662, University of Arkansas for Medical Sciences), Tung-Chin Chiang (0000-0002-7583-9308, University of Arkansas for Medical Sciences)
Year2022
Volume19
Issue6
Pages3258-3258
Publication date2022-03-10
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19063258
PMID35328946
OpenAlexW4221011539
LanguageEN
Citations received2
References cited28

Exposure to various agricultural pesticides has been linked to colorectal cancer (CRC), mostly among farmworkers and applicators. Given the potential pesticide drift in ambient air, residents near farmland may be exposed to carcinogenic pesticides even if they are not actively engaged in pesticide application. Pesticide air pollution at the county level was estimated using the 2014 National Air Toxics Assessment. CRC incidence data were acquired from the Arkansas Central Cancer Registry for 2013-2017. We ran ordinary least squares (OLS) regression models, finding significant spatial autocorrelation of residuals for most models. Using geographically weighted regression (GWR) we found age-adjusted CRC incidence rates vary in an increasing west-to-east gradient, with the highest rates in the Arkansas Delta region. A similar gradient was observed in the distribution of the population living below the poverty line and the population percentage of Black people. Significant associations between Trifluralin (crude model only), Carbon Tetrachloride, and Ethylene Dibromide with CRC incidence rates in OLS models only explained 5-7% of the variation and exhibited spatial autocorrelation of residuals. GWR models explained 24-32% (adjusted r 2 9-16%) of CRC incidence rate variation, suggesting additional factors may contribute to the association between pesticides and CRC

Biology · Environmental health · Geography · Incidence (geometry · Pesticide · Population · Air Quality and Health Impacts · Climate Change and Health Impacts · Demography · Environmental Science · Mathematics · Medicine · Pesticide Exposure and Toxicity · Ecology · Toxicology

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    Open Access•Peter DelNero, Mario Schootman et al.•The Journal of Rural Health•2025

  • Persistent Clusters of Mortality in the United States

    Jeralynn S Cossman, Ronald E Cossman et al.•American Journal of Public Health•2007

Unique citing works2
Citations per year1
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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