ArticleEnvironmental health perspectives2021
Mining of Consumer Product Ingredient and Purchasing Data to Identify Potential Chemical Coexposures.
Article in Environmental health perspectives, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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Who cites it
17 citing papers in PubMed, 35 citations in OpenAlex.
- Large language model-based screening of substances and their composition from safety data sheets for high-resolution chemical exposure assessment.Journal of exposure science & environmental epidemiology · 2026Article
- A Bayesian approach to aggregated chemical exposure assessment.Journal of exposure science & environmental epidemiology · 2026Article
- Identifying differences in U.S. exposure to ubiquitous carcinogens.International journal of hygiene and environmental health · 2025Article
- Exposure Profiles for the Long-Term Use of Disinfectants and Cleaning Products and Asthma.Allergy · 2025Article
- Characterizing Chemical Exposure Trends from NHANES Urinary Biomonitoring Data.Environmental health perspectives · 2024Article
- Assessing household lifestyle exposures from consumer purchases, the My Purchases cohort.Scientific reports · 2023Article
- Cutting-edge computational chemical exposure research at the U.S. Environmental Protection Agency.Environment international · 2023Review
- Linking gas, particulate, and toxic endpoints to air emissions in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM).Atmospheric chemistry and physics · 2023Article
- Principal Component Pursuit for Pattern Identification in Environmental Mixtures.Environmental health perspectives · 2022Article
- Exposure forecasting - ExpoCast - for data-poor chemicals in commerce and the environment.Journal of exposure science & environmental epidemiology · 2022Review
- Mixture Math: Deciding What to Add in a Cumulative Risk Assessment.Current opinion in toxicology · 2022Article
- CCDB: A database for exploring inter-chemical correlations in metabolomics and exposomics datasets.Environment international · 2022Article
- Exposure to Contemporary and Emerging Chemicals in Commerce among Pregnant Women in the United States: The Environmental influences on Child Health Outcome (ECHO) Program.Environmental science & technology · 2022Article
- Article
- Application of Pattern Mining Methods to Assess Exposures to Multiple Airborne Chemical Agents in Two Large Occupational Exposure Databases from France.International journal of environmental research and public health · 2022Article
- Article
- A New View of the Things We Use: Using Purchasing Data to Predict Common Mixture Exposures.Environmental health perspectives · 2021Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChemicals 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 prioritize
objectivesWe 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.
methodsWe 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.
resultsWe 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 receptor DISCUSSION: Integration 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
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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.