Evidence map›Paper›PMID 40687949›Full record

ArticleThe journal of allergy and clinical immunology. Global2025

Mixture analysis identifies ozone as driving factor for child asthma symptoms.

Wenxin Lu, Ellen A Eisen, Liza Lutzker, Elizabeth Noth, Tim Tyner, Fred Lurmann, S Katharine Hammond, Stephanie Holm, John R Balmes

Abstract read
In one paragraph

Article in The journal of allergy and clinical immunology. Global, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Beyond Single Pollutants: Mixture Analysis Methods in Air Pollution and Asthma Research.American journal of respiratory and critical care medicine · 2025
    Article
  3. 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

9 authors.

Wenxin LuDivision of Environmental Health Sciences, School of Public Health, University of California Berkeley, Berkeley, Calif.
Ellen A EisenDivision of Environmental Health Sciences, School of Public Health, University of California Berkeley, Berkeley, Calif.
Liza LutzkerDivision of Epidemiology, School of Public Health, University of California Berkeley, Berkeley, Calif.
Elizabeth NothDivision of Environmental Health Sciences, School of Public Health, University of California Berkeley, Berkeley, Calif.
Tim TynerCentral California Asthma Collaborative, Fresno, Calif.
Fred LurmannSonoma Technology, Petaluma, Calif.
S Katharine HammondDivision of Environmental Health Sciences, School of Public Health, University of California Berkeley, Berkeley, Calif.
Stephanie HolmWestern States Pediatric Environmental Health Specialty Unit, University of California San Francisco, San Francisco, Calif.
John R BalmesDivision of Environmental Health Sciences, School of Public Health, University of California Berkeley, Berkeley, Calif.

Funding

UC Berkeley/Stanford Children's Enviromental Health CenterP01ES022849 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BALMES, JOHN R, HAMMOND, S KATHARINE · 2013 to 2018
$4.2M
CHAPS Cohort MaintenanceR24ES030888 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BALMES, JOHN R, HOLLAND, NINA T · 2020 to 2025
$1.9M
Computational Social Science Training ProgramT32HD101364 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI Jennifer Ahern, PATRICK T BRADSHAW · 2020 to 2026
$1.7M
NICHD NIH HHS T32 HD101364NIEHS NIH HHS P01 ES022849NIEHS NIH HHS R24 ES030888
6 · The paper itself

Abstract

Background: The natural distributions of ambient air pollutants are often correlated. Existing studies have found that exposures to various air pollutants are associated with elevated risks of asthma symptoms among children. However, most studies applied single-pollutant models, which cannot distinguish between causal effects and associations due to correlations with other measured or unmeasured pollutants. Objective: We sought to investigate air pollutant mixtures and child asthma symptoms and identify key risk factors. Methods: The Children's Health and Air Pollution Study recruited 299 children in Fresno, California, 63 of whom had ever-diagnosed asthma. We assessed the children's prior 12-month exposures to 8 ambient air pollutants, namely, particulate matter with aerodynamic diameter of 2.5 μm, particulate matter with aerodynamic diameter of 10 μm, nitrogen oxides, nitrogen dioxide, ozone, carbon monoxide, elemental carbon, and polycyclic aromatic hydrocarbons, and asthmatic symptoms (wheeze and cough) at 2 visits, at age approximately 7 and 9 years. We conducted repeated-measures analysis with mixture analysis methods, including principal-component analysis and quantile-based g-computation (q-gcomp). Results: The 8 air pollutants exhibited strong intercorrelation. In single-pollutant models, exposure to ozone was associated with higher risk of cough (odds ratio, 1.39; 95% CI, 1.06-1.82). Using principal-component analysis and q-gcomp, exposures to nitrogen oxides, elemental carbon, and ozone had relatively high contributions to cough and wheeze. The association between ozone and cough was consistently positive from single-pollutant models, double-pollutant models, principal-component analysis, and quantile-based g-computation with negative control. Conclusion: Ozone stands out among the 8 air pollutants and may be a driving risk factor for persistent cough among children with asthma.

Indexed as

Air pollutionchild asthmacoughmixture analysisozonerespiratory symptomwheeze

Identifiers

PMID40687949
PMCPMC12271854

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.