Associations between socio-demographic characteristics and chemical concentrations contributing to cumulative exposures in the United States.

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

SUBMITTER: Huang H 

PROVIDER: S-EPMC6733034 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature