Evidence map›Paper›PMID 41870713›Full record

ArticleEnvironmental science and pollution research international2026

Cleaning products and classes associated with poor respiratory health.

Xin Dai, Michael J Abramson, Garun S Hamilton, Bruce R Thompson, Cecilie Svanes, Geza Benke, Sonia Kaushik, Shyamali C Dharmage, Caroline J Lodge

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In one paragraph

Article in Environmental science and pollution research international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
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

9 authors.

Xin DaiAllergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Carlton, VIC, 3010, Australia.
Michael J AbramsonAllergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Carlton, VIC, 3010, Australia.
Garun S HamiltonDepartment of Lung, Sleep, Allergy and Immunology, Monash Health, Clayton, VIC, Australia.
Bruce R ThompsonFaculty of Medicine, Dentistry and Health Sciences, Melbourne School of Health Sciences, The University of Melbourne, Carlton, VIC, Australia.
Cecilie SvanesCentre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Geza BenkeSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Sonia KaushikSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Shyamali C DharmageAllergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Carlton, VIC, 3010, Australia.
Caroline J LodgeAllergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Carlton, VIC, 3010, Australia. clodge@unimelb.edu.au.ORCID http://orcid.org/0000-0002-2342-3888

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to cleaning products may harm the lungs, mainly through inhalation of irritants and sensitising chemicals, which can induce airway inflammation and bronchial hyperresponsiveness. Given increased use of multiple cleaning products at work and home, understanding the impacts of their interplay, rather than individual exposures, is critical but has not been investigated to date. We aim to investigate the cross-sectional association between exposure to cleaning products at home and/or in the workplace and respiratory health. We conducted a cross-sectional analysis of 318 adults from the Melbourne arm of the European Community Respiratory Health Survey (ECRHS) III. Cleaning product exposure was assessed through questionnaires, categorising participant exposure into seven product groups. Latent class analysis was used to identify exposure classes. Adjusted multivariable regression modelled associations between cleaning product classes and respiratory outcomes. We identified four classes of exposure to cleaning products: "minimal users", "light users", "moderate users", "heavy users". The most exposed "heavy user group" characterised people using many different cleaning products on a weekly basis (especially bleach, sprays, polish, solvents, acids). This class was associated with increased risks of current asthma (OR, 3.24; 95% CI 1.19-8.77), and lower post-bronchodilator FEV

Indexed as

DetergentsAdultAsthmaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPersonal Care ProductsSurveys and QuestionnairesDetergentsPersonal Care ProductsAsthmaCleaning productsCOPDCross-sectional studyLung functionPoor respiratory healthQuestionnaires

Identifiers

PMID41870713
PMCPMC13091884

What OpenQuestion holds

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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.