Mining of Consumer Product Ingredient and Purchasing Data to Identify Potential Chemical Coexposures
| Autor: | David Lyons, Zachary Stanfield, Kathie L. Dionisio, Cody K. Addington, Kristin Isaacs, Rogelio Tornero-Velez, Katherine Phillips, Timothy J. Buckley |
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| Rok vydání: | 2021 |
| Předmět: |
Health
Toxicology and Mutagenesis digestive oral and skin physiology education Public Health Environmental and Occupational Health Environmental Exposure 010501 environmental sciences 01 natural sciences Purchasing Variety (cybernetics) 03 medical and health sciences Ingredient 0302 clinical medicine Commerce Consumer Product Safety ComputerApplications_GENERAL Humans Computer Simulation Science Selection 030212 general & internal medicine Business Product (category theory) health care economics and organizations 0105 earth and related environmental sciences |
| Zdroj: | Environmental Health Perspectives |
| ISSN: | 1552-9924 0091-6765 |
| DOI: | 10.1289/ehp8610 |
| Popis: | Chemicals in consumer products are a major contributor to human chemical coexposures. Consumers purchase and use a wide variety of products containing potentially thousands of chemicals. There is a need to identify potential real-world chemical coexposures to prioritizeWe aimed to develop and implement a data-driven procedure for identifying prevalent chemical combinations to which humans are exposed through purchase and use of consumer products.We applied frequent itemset mining to an integrated data set linking consumer product chemical ingredient data with product purchasing data from 60,000 households to identify chemical combinations resulting from co-use of consumer products.We identified co-occurrence patterns of chemicals over all households as well as those specific to demographic groups based on race/ethnicity, income, education, and family composition. We also identified chemicals with the highest potential for aggregate exposure by identifying chemicals occurring in multiple products used by the same household. Last, a case study of chemicals active in estrogen and androgen receptorIntegration and comprehensive analysis of household purchasing data and product-chemical information provided a means to assess human near-field exposure and inform selection of chemical combinations for high-throughput screening in |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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