ArticleJournal of exposure science & environmental epidemiology2017
Associations between socio-demographic characteristics and chemical concentrations contributing to cumulative exposures in the United States.
Article in Journal of exposure science & environmental epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed, 31 citations in OpenAlex.
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- Current practice and recommendations for advancing how human variability and susceptibility are considered in chemical risk assessment.Environmental health : a global access science source · 2023Review
- 1,3-Butadiene: a ubiquitous environmental mutagen and its associations with diseases.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2022Review
- Association mining based approach to analyze COVID-19 response and case growth in the United States.Scientific reports · 2021Article
- A Cumulative Framework for Identifying Overburdened Populations under the Toxic Substances Control Act: Formaldehyde Case Study.International journal of environmental research and public health · 2021Article
- "Freedom to Breathe": Youth Participatory Action Research (YPAR) to Investigate Air Pollution Inequities in Richmond, CA.International journal of environmental research and public health · 2021Article
- Californians Linking Action with Science for Prevention of Breast Cancer (CLASP-BC)-Phase 2.International journal of environmental research and public health · 2020Article
- A Scoping Review of Capacity-Building Efforts to Address Environmental Justice Concerns.International journal of environmental research and public health · 2020Article
- The Search for Environmental Justice: The Story of North Birmingham.International journal of environmental research and public health · 2019Article
- Environmental Styrene Exposure and Sensory and Motor Function in Gulf Coast Residents.Environmental health perspectives · 2019Article
- Environmental Justice in Industrially Contaminated Sites. A Review of Scientific Evidence in the WHO European Region.International journal of environmental research and public health · 2019Review
- Environmental styrene exposure and neurologic symptoms in U.S. Gulf coast residents.Environment international · 2018Article
- Cumulative Risk and Impact Modeling on Environmental Chemical and Social Stressors.Current environmental health reports · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
Association rule mining (ARM) has been widely used to identify associations between various entities in many fields. Although some studies have utilized it to analyze the relationship between chemicals and human health effects, fewer have used this technique to identify and quantify associations between environmental and social stressors. Socio-demographic variables were generated based on U.S. Census tract-level income, race/ethnicity population percentage, education level, and age information from the 2010-2014, 5-Year Summary files in the American Community Survey (ACS) database, and chemical variables were generated by utilizing the 2011 National-Scale Air Toxics Assessment (NATA) census tract-level air pollutant exposure concentration data. Six mobile- and industrial-source pollutants were chosen for analysis, including acetaldehyde, benzene, cyanide, particulate matter components of diesel engine emissions (namely, diesel PM), toluene, and 1,3-butadiene. ARM was then applied to quantify and visualize the associations between the chemical and socio-demographic variables. Census tracts with a high percentage of racial/ethnic minorities and populations with low income tended to have higher estimated chemical exposure concentrations (fourth quartile), especially for diesel PM, 1,3-butadiene, and toluene. In contrast, census tracts with an average population age of 40-50 years, a low percentage of racial/ethnic minorities, and moderate-income levels were more likely to have lower estimated chemical exposure concentrations (first quartile). Unsupervised data mining methods can be used to evaluate potential associations between environmental inequalities and social disparities, while providing support in public health decision-making contexts.
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Registered trials
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.