A transdisciplinary process-oriented approach to evaluate infant exposure to indoor dust
- Brandon E Boor 1, Karen E Adolph 2, Laura J Claxton 3, Alexander Laskin 4, Orit Herzberg 2, Paige A Thompson 3, Satya S Patra 5, Brian H Magnuson 5, Emily R Halpern 4
- 1Lyles School of Civil and Construction Engineering, Purdue University, West Lafayette, IN, USA. bboor@purdue.edu.
- 2Department of Psychology, New York University, New York, NY, USA.
- 3Department of Health and Kinesiology, Purdue University, West Lafayette, IN, USA.
- 4James Tarpo Jr. and Margaret Tarpo Department of Chemistry, Purdue University, West Lafayette, IN, USA.
- 5Lyles School of Civil and Construction Engineering, Purdue University, West Lafayette, IN, USA.
- 0Lyles School of Civil and Construction Engineering, Purdue University, West Lafayette, IN, USA. bboor@purdue.edu.
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View abstract on PubMed
Summary
This summary is machine-generated.Infants face unique risks from indoor dust exposure. This study developed a framework to assess infant dust ingestion and inhalation, linking behaviors, dust properties, and environmental factors for better risk assessment.
Area Of Science
- Environmental Health
- Exposure Science
- Pediatric Health
Background
- Infants are highly susceptible to indoor dust toxicants due to behaviors like mouthing and crawling.
- Indoor dust contains heavy metals, flame retardants, and other chemicals posing ingestion and inhalation risks.
- Dust also harbors allergens and microbes, impacting respiratory health and immune development.
Purpose Of The Study
- To create a framework integrating behavioral analysis, dust characterization, and modeling for infant dust exposure assessment.
- To evaluate infant exposure pathways, specifically ingestion and inhalation, through a transdisciplinary approach.
Main Methods
- Collected videos of infant behavior in homes to quantify exposure-relevant actions.
- Analyzed dust samples for concentrations, size, morphology, and toxicant profiles (heavy metals).
- Developed a mechanistic mass balance model using empirical data to estimate dust ingestion and inhalation rates.
Main Results
- Found variations in dust concentrations and elemental content between different home environments (urban/rural, flooring types).
- Nearly half of dust particles were under 50 μm, with 20% under 20 μm, highlighting the significance of fine particles.
- Quantified infant behaviors related to dust exposure across developmental stages.
Conclusions
- Introduced a novel framework combining behavioral analysis, dust characterization, and modeling for infant dust exposure.
- This approach links infant behaviors, environmental factors, and dust properties to understand contaminant exposure pathways.
- Findings will improve risk assessments and inform strategies to protect infants from harmful indoor dust exposures.
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