Evidence map›Paper›PMID 41535612›Full record

ArticleJournal of exposure science & environmental epidemiology2026

A transdisciplinary process-oriented approach to evaluate infant exposure to indoor dust.

Brandon E Boor, Karen E Adolph, Laura J Claxton, Alexander Laskin, Orit Herzberg, Paige A Thompson, Satya S Patra, Brian H Magnuson, Emily R Halpern

Abstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Brandon E BoorLyles School of Civil and Construction Engineering, Purdue University, West Lafayette, IN, USA. bboor@purdue.edu.ORCID http://orcid.org/0000-0003-1011-4100
Karen E AdolphDepartment of Psychology, New York University, New York, NY, USA.
Laura J ClaxtonDepartment of Health and Kinesiology, Purdue University, West Lafayette, IN, USA.
Alexander LaskinJames Tarpo Jr. and Margaret Tarpo Department of Chemistry, Purdue University, West Lafayette, IN, USA.
Orit HerzbergDepartment of Psychology, New York University, New York, NY, USA.
Paige A ThompsonDepartment of Health and Kinesiology, Purdue University, West Lafayette, IN, USA.
Satya S PatraLyles School of Civil and Construction Engineering, Purdue University, West Lafayette, IN, USA.
Brian H MagnusonLyles School of Civil and Construction Engineering, Purdue University, West Lafayette, IN, USA.
Emily R HalpernJames Tarpo Jr. and Margaret Tarpo Department of Chemistry, Purdue University, West Lafayette, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfants are uniquely vulnerable to indoor dust exposure due to behaviors such as mouthing (hand- or object-to-mouth), crawling with hands on the floor, and close proximity to floor surfaces where dust accumulates. Dust acts as a reservoir for toxicants, including heavy metals, flame retardants, per- and polyfluoroalkyl substances, plasticizers, microplastics, and antimicrobials, which pose significant risks via ingestion and inhalation. Dust also contains allergens and microorganisms that may adversely impact respiratory health but have also been linked to protective immune effects, including a reduced risk of asthma and allergy development in early childhood. However, current exposure assessments lack a mechanistic understanding of how behavioral, developmental, and environmental factors interact to shape infant-specific dust exposure.

objectiveTo develop a transdisciplinary, process-oriented framework that integrates behavioral analysis, advanced dust characterization, and mechanistic modeling to evaluate infant exposure to indoor dust through ingestion and inhalation pathways.

methodsVideos of natural infant activity were collected from urban (New York, NY) and rural/suburban (West Lafayette, IN) homes to quantify mouthing frequency, duration, and other exposure-relevant behaviors across developmental stages. Dust samples were collected using standardized protocols and analyzed for surface concentrations, size distributions, morphological features, and toxicant profiles, focusing on heavy metals. Empirical datasets informed a mechanistic mass balance model to estimate size-resolved dust ingestion and inhalation rates.

resultsPreliminary findings revealed variability in dust surface concentrations between carpets and smooth flooring, and differences in elemental concentrations between urban and rural/suburban homes. Dust size distributions (volume basis) revealed that nearly half of particles were smaller than 50 μm, with approximately 20% smaller than 20 μm, underscoring the role of finer particles in exposure pathways. IMPACT: This study introduces a transdisciplinary, process-oriented framework to evaluate infant exposure to indoor dust, combining video-based behavioral analysis, advanced dust characterization, and mechanistic mass balance modeling. By linking developmental behaviors, environmental conditions, and dust properties, it will reveal key pathways driving ingestion and inhalation of dust-bound contaminants during infancy. These findings will advance exposure science by enabling more refined risk assessments and informing targeted strategies to protect vulnerable populations during critical stages of development.

Indexed as

Air Pollution, IndoorDustEnvironmental ExposureInhalation ExposureEnvironmental MonitoringHumansInfantNew YorkDustEarly Life ExposureEmerging ContaminantsExposure AssessmentExposure ModelingIndoor Dust/House Dust/DustMetals

Identifiers

PMID41535612
PMCPMC13331742

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.