Evidence map›Paper›PMID 40189077›Full record

ArticleAnnals of epidemiology2025

Associations between in-home environmental exposures and lung function in a safety net population of children with asthma using electronic health records and geospatial data.

Matthew Bozigar, Catherine L Connolly, Kimberly Vermeer, Luis Carvalho, Robyn T Cohen, Julianne N Dugas, Jonathan I Levy, Maria Patricia Fabian

Abstract read
In one paragraph

Article in Annals of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Matthew BozigarDepartment of Environmental Health, Boston University School of Public Health, 715 Albany St., Boston, MA 02118, USA. Electronic address: matthew.bozigar@oregonstate.edu.
Catherine L ConnollyDepartment of Environmental Health, Boston University School of Public Health, 715 Albany St., Boston, MA 02118, USA; Columbia University Mailman School of Public Health, Department of Environmental Health Sciences, 722 W 168th St, New York, NY 10032, USA.
Kimberly VermeerUrban Habitat Initiatives Inc., 328A Tremont Street, Boston, MA 02116, USA.
Luis CarvalhoDepartment of Mathematics and Statistics, College of Arts and Sciences, Boston University, 111 Cummington Mall, Boston, MA 02215, USA.
Robyn T CohenDepartment of Pediatrics, Boston Medical Center/Boston University School of Medicine, 801 Albany Street, Boston, MA 02118, USA.
Julianne N DugasBiostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, 85 East Newton Street, Boston, MA 02118, USA.
Jonathan I LevyDepartment of Environmental Health, Boston University School of Public Health, 715 Albany St., Boston, MA 02118, USA.
Maria Patricia FabianDepartment of Environmental Health, Boston University School of Public Health, 715 Albany St., Boston, MA 02118, USA. Electronic address: pfabian@bu.edu.

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
Environmental Epidemiology in Community SettingsT32ES014562 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Birgit Gunhild Claus Henn · 2006 to 2026
$7.7M
Asthma Simulation Tool for Housing, Medication and Social Adversity (ASTHMA)R01ES027816 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI FABIAN, MARIA PATRICIA · 2017 to 2021
$2.4M
NCATS NIH HHS UL1 TR001430NIEHS NIH HHS R01 ES027816NIEHS NIH HHS T32 ES014562
6 · The paper itself

Abstract

purposeThe effects of in-home environmental exposures (IHEEs) on asthma are challenging to examine in populations because information on asthma triggers is usually absent. We leveraged data from electronic health records (EHRs) to investigate the associations of residential cockroach and rodent exposures with lung function among children with asthma.

methodsWe merged clinical pulmonary function test data from EHRs for children with asthma from a large safety net hospital in the Northeast United States with publicly available geospatial data matched to patient addresses. Predicted presence of key IHEE asthma triggers, cockroaches and rodents, were included as main exposures and housing parcel features and census tract characteristics were included as potential confounders in a sensitivity analysis. We fit latent Bayesian hierarchical models of percent predicted forced expiratory volume in one second (FEV

resultsThe study population of 1070 children had a mean age of 10.2 years and 75 % identified as Black, many living in historically segregated neighborhoods. In models adjusted for individual characteristics, we observed 2.26 (95 % credible interval, 95 %CrI: - 3.72, - 0.79) and 2.58 (95 %CrI: - 4.54, - 0.66) percentage points (pp) lower FEV

conclusionsIHEEs were associated with worse lung function among children with asthma in a safety net population. The observed associations underscore how injustices in housing and neighborhood characteristics contribute to asthma morbidity.

Indexed as

AsthmaEnvironmental ExposureAdolescentAnimalsBayes TheoremChildCockroachesElectronic Health RecordsFemaleForced Expiratory VolumeHousingHumansMaleNew EnglandResidence CharacteristicsRespiratory Function TestsBayes TheoremEnvironmental exposureEpidemiologic studiesHealth inequitiesRodentiaSafety-net providers

Identifiers

PMID40189077
PMCPMC12225638

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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.