Evidence map›Paper›PMID 41261251›Full record

ArticleJournal of exposure science & environmental epidemiology2026

A characterization of infants' and children's time-activity patterns for use in soil and dust exposure estimation.

Sara N Lupolt, Lacey Etzkorn, Christina Huynh, Lesliam Quirós-Alcala, Erin DeMicco, Tracey J Woodruff, Kristin Voegtline, Keeve E Nachman

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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. Article
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

8 authors.

Sara N LupoltDepartment of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. slupolt1@jhu.edu.ORCID http://orcid.org/0000-0001-6263-5333
Lacey EtzkornDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-7107-2763
Christina HuynhDepartment of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Lesliam Quirós-AlcalaDepartment of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-6600-7227
Erin DeMiccoDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0009-0004-3038-2705
Tracey J WoodruffDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-3622-1297
Kristin VoegtlineDepartment of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Keeve E NachmanDepartment of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. knachman@jhu.edu.ORCID http://orcid.org/0000-0003-4925-4151

Funding

Pilot Project ProgramP30ES032756 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI Marsha Wills-Karp · 2022 to 2026
$6.0M
Antimicrobial Agents and Asthma Morbidity among African American Children withAsthmaK01HL138124 · NHLBI · UNIV OF MARYLAND, COLLEGE PARK · PI QUIROS-ALCALA, LESLIAM · 2017 to 2021
$666k
NHLBI NIH HHS K01 HL138124NIEHS NIH HHS P30 ES032756
6 · The paper itself

Abstract

backgroundTime-activity pattern data are components of EPA's efforts to develop soil and dust ingestion rate recommendations for use in risk assessment. The existing database of activity pattern data used for this purpose is comprised mostly of studies designed to estimate exposure to air pollution that are decades old, limiting their applicability to estimating soil and dust ingestion.

objectivesWe aimed to generate novel time-activity pattern data germane to soil and dust ingestion for children aged 6 months to 6 years. We explore potential differences in key exposure factors by child age, sex, motor development, season, and day of the week, and we compare our estimates to the USEPA's Exposure Factors Handbook (EFH) recommendations.

methodsCaregivers completed hourly time-activity surveys on one weekday and one weekend day in each season across one calendar year. We collected data on four microenvironments, seven activities, and several play-related parameters specific to soil and dust exposure. We assessed differences in time spent and engaged in these microenvironments and activities across day of the week, season, and calendar and developmental lifestage using clustered bootstrapping.

resultsWe collected 1010 participant-days of time-activity pattern data representing 242 children <6 years. Children spent most of their day indoors either sleeping (51%) or playing (17%), and we observed notable differences in activity patterns across days and ages. On 97% of participant-days, children played with mean = 45 hard toys/day, while on 83% of participant-days, children played with a mean 13 soft toys/day. Comfort object use was more prevalent than pacifier use across all age groups and highest (mean = 136 minutes/day) among 2 to < 3-year-olds. Pacifier use was rarely observed among children >3 years. IMPACT: We collected novel time-activity information for children under six years, with an emphasis on characterizing exposures to chemicals in soil and dust. These contribute to efforts to refine and advance EPA's current models of soil and dust ingestion in this vulnerable lifestage.

Indexed as

DustEnvironmental ExposureSoilChildChild, PreschoolEnvironmental MonitoringFemaleHumansInfantMaleRisk AssessmentSeasonsTime FactorsUnited StatesDustSoilActivity patternsComfort objectsMicroenvironmentsPacifier useSoil and dust ingestion

Identifiers

PMID41261251
PMCPMC13003462

What OpenQuestion holds

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LicenceTDM
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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.