EPID-17. Environmental Injustice and Brain Tumor Incidence: A Sociological Analysis of PFAS Exposure in North Carolina

Abstract BACKGROUND Per- and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants disproportionately affecting low-income and industrially zoned communities. Emerging evidence suggests a link between PFAS exposure and central nervous system malignancies. OBJECTIVE To investigate the association between PFAS exposure levels and glioma incidence in North Carolina, with a focus on marginalized communities. METHODS A retrospective ecological analysis was conducted using PFAS data from the EPA Analytical Database, cancer incidence from the NC Central Cancer Registry, and demographic data from the U.S. Census. Counties were stratified by PFAS concentration and socioeconomic indicators (median income, race/ethnicity, industrial proximity). RESULTS Counties with elevated PFAS levels showed a 1.6-fold increase in glioma incidence compared to counties with low PFAS exposure (p < 0.01). Marginalized communities, particularly those with high minority and low-income populations, had both higher PFAS levels and glioma rates. CONCLUSION This study highlights an environmental justice concern: communities most vulnerable to contamination face a greater risk of brain tumor development. Public health policies must address both environmental remediation and health equity.

Authors

Institutions

Publication Details

Journal
Neuro-Oncology
Published
2025-11-01
DOI
https://doi.org/10.1093/neuonc/noaf201.0749
Primary Topic
Per- and polyfluoroalkyl substances research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EPID-17. Environmental Injustice and Brain Tumor Incidence: A Sociological Analysis of PFAS Exposure in North Carolina

Dominique Higgins, Obiora Okoye, A. Krishna, Brayan Corona-Macedo
Neuro-Oncology
Per- and polyfluoroalkyl substances research
article

EPID-17. Environmental Injustice and Brain Tumor Incidence: A Sociological Analysis of PFAS Exposure in North Carolina

Dominique Higgins, Obiora Okoye, A. Krishna, Brayan Corona-Macedo
article en

Abstract

Abstract BACKGROUND Per- and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants disproportionately affecting low-income and industrially zoned communities. Emerging evidence suggests a link between PFAS exposure and central nervous system malignancies. OBJECTIVE To investigate the association between PFAS exposure levels and glioma incidence in North Carolina, with a focus on marginalized communities. METHODS A retrospective ecological analysis was conducted using PFAS data from the EPA Analytical Database, cancer incidence from the NC Central Cancer Registry, and demographic data from the U.S. Census. Counties were stratified by PFAS concentration and socioeconomic indicators (median income, race/ethnicity, industrial proximity). RESULTS Counties with elevated PFAS levels showed a 1.6-fold increase in glioma incidence compared to counties with low PFAS exposure (p < 0.01). Marginalized communities, particularly those with high minority and low-income populations, had both higher PFAS levels and glioma rates. CONCLUSION This study highlights an environmental justice concern: communities most vulnerable to contamination face a greater risk of brain tumor development. Public health policies must address both environmental remediation and health equity.

Neuro-OncologyVol. 27(Supplement_5)
University of North Carolina Health Care (US)
Openalex Percentile: Top 70%
Per- and polyfluoroalkyl substances research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.