ReviewEnvironmental health perspectives2025
Identifying Potential Chemicals of Concern in Children's Products in a Regulatory Context: A Systematic Evidence Mapping Approach.
Review in Environmental health perspectives, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Occupational and environmental iron exposure: a hidden risk factor in breast cancer etiology.Annals of medicine and surgery (2012) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChildren's vulnerability to chemical toxicant exposures demands strong consideration of the chemical composition of products designed for and marketed toward them. Inadequacies in health-protective legislation and lack of mandatory ingredient disclosure in most children's products have created significant gaps in protection and oversight. Scientific literature can provide insight into the chemical constituency of children's products that may be useful for prioritizing future regulatory efforts.
objectiveWe aimed to present a proof of concept for applying systematic evidence mapping methodology to identify which chemicals of potential concern have been reported in the scientific literature to be present in products marketed toward children, compile a compendium of data to inform future regulatory efforts, and identify research needs.
methodsWe conducted a broad, all-encompassing survey of the available literature from four databases to identify chemicals present in children's products. Using systematic evidence mapping methodologies, we constructed a database of children's products and their chemical constituents (termed "product-chemical combinations") based on a broad survey of current and relevant environmental health literature. Our study focused on chemicals listed on the California Safer Consumer Products Program's Candidate Chemicals List, which includes chemicals with one or more known hazard traits. We then conducted an exploratory data analysis of product category and product-chemical combination frequencies to identify common chemicals in specific products.
resultsOur systematic evidence mapping identified 206 potentially hazardous chemicals in children's products, 170 of which were found in toys. In total, we found 1,528 distinct product-chemical combinations; 582 product-chemical combinations included chemicals known to be hazardous or potentially hazardous. Ortho-phthalates in plastic toys, parabens in children's creams and lotions, and bisphenols in both baby bottles and teethers were the most frequently encountered product-chemical combinations of potential concern. DISCUSSION: The frequently reported presence of endocrine-disrupting chemicals in multiple types of children's products raises concerns for aggregate exposures and reveals gaps in regulatory protections for this sensitive subpopulation. Our reproducible and systematic evidence-based approach serves as a case study that can guide other prioritization efforts for transparent regulatory action aimed at improving the safety of chemicals in consumer products. https://doi.org/10.1289/EHP15394.
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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.