Evidence map›Paper›PMID 40606084›Full record

ArticleFrontiers in public health2025

Associations between household characteristics and environmentally persistent free radicals in house dust from two Australian locations.

Wen Ray Lee, Prakash Dangal, Gaurav Langan, Nina Lazarevic, Zhiwei Xu, Stephania A Cormier, Slawo Lomnicki, Peter D Sly, Dwan Vilcins

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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

5 · Who and what money

Authors and funding

9 authors.

Wen Ray LeeChildren's Health and Environment Program, Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia.
Prakash DangalSuperfund Research Centre, Louisiana State University, Baton Rouge, LA, United States.
Gaurav LanganChildren's Health and Environment Program, Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia.
Nina LazarevicNational Centre for Epidemiology and Population Health, Australian National University, Canberra, ACT, Australia.
Zhiwei XuSchool of Medicine and Dentistry, Griffith University, Gold Coast, QLD, Australia.
Stephania A CormierSuperfund Research Centre, Louisiana State University, Baton Rouge, LA, United States.
Slawo LomnickiSuperfund Research Centre, Louisiana State University, Baton Rouge, LA, United States.
Peter D SlyChildren's Health and Environment Program, Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia.
Dwan VilcinsChildren's Health and Environment Program, Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia.

Funding

Role of microbiota in increased influenza severity due to particulate matter exposureP42ES013648 · NIEHS · LOUISIANA STATE UNIV A&M COL BATON ROUGE · PI MERCANTE, DONALD E · 2009 to 2024
$27.6M
NIEHS NIH HHS P42 ES013648
6 · The paper itself

Abstract

Introduction: The association between air pollution and adverse health outcomes has been extensively documented, with oxidative stress widely considered a contributing factor. However, the precise underlying mechanism(s) remains unclear. Recent studies suggest that environmentally persistent free radicals (EPFRs) may provide the missing connection between air pollution and its detrimental health effects. Nevertheless, the indoor environment has received limited attention in EPFR research. Therefore, in this study, we measured EPFRs in house dust samples from two locations in Australia and examined household characteristics associated with their presence. Methods: Household characteristics and behaviours that influence indoor air quality were collected from an online questionnaire; 24-h indoor and outdoor air quality were measured with a TSI DustTrak™ DRX Aerosol monitor 8,533; annual indoor and outdoor air quality were matched to two validated, satellite-based land-use regression models; and dust samples were collected from house vacuums. Dust samples were analyzed using nano electron paramagnetic resonance (EPR) to determine spin concentrations, g-factor, and delta H peak-to-peak (Hp-p). Key variables were identified using Lasso-penalized regression models, followed by unpenalized linear regression and post-selection inference to estimate coefficients and assess the robustness of the findings. Results: Our analysis revealed that factors such as extractor fan usage during cooking, exposure to traffic-related air pollution and ambient PM Discussion: Our research provided insight into the potential impact of household characteristics on EPFR concentrations, which can potentially lead to adverse health effects. Future research should link our research findings on factors affecting indoor EPFRs to their potential health effects.

Indexed as

Air Pollution, IndoorDustEnvironmental ExposureFamily CharacteristicsAustraliaEnvironmental MonitoringFree RadicalsHousingHumansSurveys and QuestionnairesDustFree Radicalsenvironmentally persistent free radicalsEPFRshouse dustindoor air pollutionparticulate matter

Identifiers

PMID40606084
PMCPMC12213907

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.