ArticleEnvironmental health perspectives2017
A Method for Identifying Prevalent Chemical Combinations in the U.S. Population.
Article in Environmental health perspectives, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 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.
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Who cites it
40 citing papers in PubMed.
- Environmental factors influencing hormone receptor positive breast cancer incidence: integrating chemical signatures from dust wipes with self-reported sources of exposure.Journal of exposure science & environmental epidemiology · 2026Article
- Associations of co-exposure to metals and polycyclic aromatic hydrocarbons with aging biomarkers: insights from epidemiology and network toxicology.Frontiers in public health · 2026Article
- Identifying differences in U.S. exposure to ubiquitous carcinogens.International journal of hygiene and environmental health · 2025Article
- Article
- The silent threat and countermeasures: Navigating the mixture risk of endocrine-disrupting chemicals on pregnancy loss in China.Eco-Environment & Health · 2024Article
- Genetic and epigenetic modulations in toxicity: The two-sided roles of heavy metals and polycyclic aromatic hydrocarbons from the environment.Toxicology reports · 2024Review
- Modeling PAH Mixture Interactions in a Human In Vitro Organotypic Respiratory Model.International journal of molecular sciences · 2024Article
- Suspect Screening Analysis of Pooled Human Serum Samples Using GC × GC/TOF-MS.Environmental science & technology · 2024Article
- Characterizing Chemical Exposure Trends from NHANES Urinary Biomonitoring Data.Environmental health perspectives · 2024Article
- Wrangling Whole Mixtures Risk Assessment: Recent Advances in Determining Sufficient Similarity.Current opinion in toxicology · 2023Article
- Cutting-edge computational chemical exposure research at the U.S. Environmental Protection Agency.Environment international · 2023Review
- Exposure forecasting - ExpoCast - for data-poor chemicals in commerce and the environment.Journal of exposure science & environmental epidemiology · 2022Review
- Environmental mixtures and breast cancer: identifying co-exposure patterns between understudied vs breast cancer-associated chemicals using chemical inventory informatics.Journal of exposure science & environmental epidemiology · 2022Article
- Principal Component Pursuit for Pattern Identification in Environmental Mixtures.Environmental health perspectives · 2022Article
- Leveraging Multiple Data Streams for Prioritization of Mixtures for Hazard Characterization.Toxics · 2022Article
- A modular mechanistic framework for estimating exposure to SVOCs: Next steps for modeling emission and partitioning of plasticizers and PFAS.Journal of exposure science & environmental epidemiology · 2022Review
- Article
- Prevalence of multiple exposures to occupational hazards in some industries in China.Health science reports · 2022Article
- Integrating Selection and Risk Assessment of Chemical Mixtures: A Novel Approach Applied to a Breast Milk Survey.Environmental health perspectives · 2022Article
- 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
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThrough the food and water they ingest, the air they breathe, and the consumer products with which they interact at home and at work, humans are exposed to tens of thousands of chemicals, many of which have not been evaluated to determine their potential toxicities. Furthermore, while current chemical testing tends to focus on individual chemicals, the exposures that people actually experience involve mixtures of chemicals. Unfortunately, the number of mixtures that can be formed from the thousands of environmental chemicals is enormous, and testing all of them would be impossible.
objectivesWe seek to develop and demonstrate a method for identifying those mixtures that are most prevalent in humans.
methodsWe applied frequent itemset mining, a technique traditionally used for market basket analysis, to biomonitoring data from the 2009-2010 cycle of the continuous National Health and Nutrition Examination Survey (NHANES) to identify combinations of chemicals that frequently co-occur in people.
resultsWe identified 90 chemical combinations consisting of relatively few chemicals that occur in at least 30% of the U.S. population, as well as three supercombinations consisting of relatively many chemicals that occur in a small but nonnegligible proportion of the U.S. population.
conclusionsWe demonstrated how FIM can be used in conjunction with biomonitoring data to narrow a large number of possible chemical combinations down to a smaller set of prevalent chemical combinations. https://doi.org/10.1289/EHP1265.
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