Evidence map›Paper›PMID 26037107›Full record

ArticleEnvironmental research2015

Assessment of sociodemographic and geographic disparities in cancer risk from air toxics in South Carolina.

Sacoby Wilson, Kristen Burwell-Naney, Chengsheng Jiang, Hongmei Zhang, Ashok Samantapudi, Rianna Murray, Laura Dalemarre, LaShanta Rice, Edith Williams

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Inequalities in Environmental Cancer Risk and Carcinogen Exposures: A Scoping Review.International journal of environmental research and public health · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
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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

9 authors.

Sacoby WilsonMaryland Institute for Applied Environmental Health (MIAEH), University of Maryland, School of Public Health, 255 Valley Drive, SPH Building, College Park, MD 20742, USA; Community Engagement, Environmental Justice, and Health, University of Maryland, School of Public Health, 255 Valley Drive, SPH Building, College Park, MD 20742, USA.
Kristen Burwell-NaneyMaryland Institute for Applied Environmental Health (MIAEH), University of Maryland, School of Public Health, 255 Valley Drive, SPH Building, College Park, MD 20742, USA; Community Engagement, Environmental Justice, and Health, University of Maryland, School of Public Health, 255 Valley Drive, SPH Building, College Park, MD 20742, USA. Electronic address: kburwell@umd.edu.
Chengsheng JiangMaryland Institute for Applied Environmental Health (MIAEH), University of Maryland, School of Public Health, 255 Valley Drive, SPH Building, College Park, MD 20742, USA; Community Engagement, Environmental Justice, and Health, University of Maryland, School of Public Health, 255 Valley Drive, SPH Building, College Park, MD 20742, USA.
Hongmei ZhangDivision of Epidemiology, Biostatistics and Environmental Health, University of Memphis, School of Public Health, 224 Robinson Hall, Memphis, TN 38152, USA.
Ashok SamantapudiDepartment of Epidemiology and Biostatistics, University of South Carolina, Arnold School of Public Health, 800 Sumter Street, Columbia, SC 29208, USA.
Rianna MurrayMaryland Institute for Applied Environmental Health (MIAEH), University of Maryland, School of Public Health, 255 Valley Drive, SPH Building, College Park, MD 20742, USA; Community Engagement, Environmental Justice, and Health, University of Maryland, School of Public Health, 255 Valley Drive, SPH Building, College Park, MD 20742, USA.
Laura DalemarreCommunity Engagement, Environmental Justice, and Health, University of Maryland, School of Public Health, 255 Valley Drive, SPH Building, College Park, MD 20742, USA.
LaShanta RiceDepartment of Health Promotion, Education, and Behavior, University of South Carolina, Arnold School of Public Health, 800 Sumter Street, Columbia, SC 29208, USA; Institute for Partnerships to Eliminate Health Disparities, University of South Carolina, 220 Stoneridge Drive, Suite 208, Columbia, SC 29210, USA.
Edith WilliamsDepartment of Health Promotion, Education, and Behavior, University of South Carolina, Arnold School of Public Health, 800 Sumter Street, Columbia, SC 29208, USA; Institute for Partnerships to Eliminate Health Disparities, University of South Carolina, 220 Stoneridge Drive, Suite 208, Columbia, SC 29210, USA.

Funding

Role of HPV in Head and Neck Cancer in African Am & European Am PatientsP20MD001770 · NIMHD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI CREEK, KIM E, GLOVER, SAUNDRA H · 2005 to 2014
$15.0M
MARYLAND POPULATION RESEARCH CENTERR24HD041041 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI RENDALL, MICHAEL S. · 2001 to 2016
$6.6M
Use of a Community-University Partnership to Eliminate Environmental StressorsR21ES017950 · NIEHS · UNIV OF MARYLAND, COLLEGE PARK · PI WILSON, SACOBY MIGUEL · 2009 to 2012
$1.2M
NICHD NIH HHS R24 HD041041NIEHS NIH HHS 1R21ES017950-01NIEHS NIH HHS R21 ES017950NIMHD NIH HHS 3P20MD001770-07S1NIMHD NIH HHS P20 MD001770
6 · The paper itself

Abstract

Populations of color and low-income communities are often disproportionately burdened by exposures to various environmental contaminants, including air pollution. Some air pollutants have carcinogenic properties that are particularly problematic in South Carolina (SC), a state that consistently has high rates of cancer mortality for all sites. The purpose of this study was to assess cancer risk disparities in SC by linking risk estimates from the U.S. Environmental Protection Agency's 2005 National Air Toxics Assessment (NATA) with sociodemographic data from the 2000 US Census Bureau. Specifically, NATA risk data for varying risk categories were linked by tract ID and analyzed with sociodemographic variables from the 2000 census using R. The average change in cancer risk from all sources by sociodemographic variable was quantified using multiple linear regression models. Spatial methods were further employed using ArcGIS 10 to assess the distribution of all source risk and percent non-white at each census tract level. The relative risk (RR) estimates of the proportion of high cancer risk tracts (defined as the top 10% of cancer risk in SC) and their respective 95% confidence intervals (CIs) were calculated between the first and latter three quartiles defined by sociodemographic factors, while the variance in the percentage of high cancer risk between quartile groups was tested using Pearson's chi-square. The average total cancer risk for SC was 26.8 people/million (ppl/million). The risk from on-road sources was approximately 5.8 ppl/million, higher than the risk from major, area, and non-road sources (1.8, 2.6, and 1.3 ppl/million), respectively. Based on our findings, addressing on-road sources may decrease the disproportionate cancer risk burden among low-income populations and communities of color in SC.

Indexed as

GeographySocial ClassAir PollutantsHumansNeoplasmsRisk AssessmentSouth CarolinaAir PollutantsCancer riskEnvironmental justiceGeographic Information Systems (GIS)National-Scale Air Toxics Assessment (NATA)South Carolina

Identifiers

PMID26037107
PMCPMC4492882

What OpenQuestion holds

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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.