Evidence map›Paper›PMID 41129149›Full record

ArticleJAMA network open2025

Prenatal Exposure to Fine Particulate Matter Components and Autism Risk in Childhood.

Maxime Cloutier, Chengchun Yu, Robert Talarico, Steven Hawken, Hong Chen, Scott Weichenthal, Sabit Cakmak, Christopher Hebbern, Anna Gunz, Aaron van Donkelaar and 3 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

13 authors.

Maxime CloutierEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada.
Chengchun YuThe Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Robert TalaricoThe Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Steven HawkenThe Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Hong ChenEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada.
Scott WeichenthalDepartment of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada.
Sabit CakmakEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada.
Christopher HebbernClimate Change and Health Office, Health Canada, Ottawa, Ontario, Canada.
Anna GunzChildren's Health Research Institute, London, Ontario, Canada.
Aaron van DonkelaarDepartment of Energy, Environmental, and Chemical Engineering McKelvey School of Engineering, St Louis, Missouri.
Randall V MartinDepartment of Energy, Environmental, and Chemical Engineering McKelvey School of Engineering, St Louis, Missouri.
Jean-Nicolas CôtéDepartment of Geomatics, University of Sherbrooke, Sherbrooke, Canada.
Éric LavigneEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Prenatal and early-life exposure to fine particulate matter (PM2.5) has been associated with autism spectrum disorder (ASD), but the role of individual components and timing of exposure remains unclear. Objective: To examine associations between prenatal and first-year-of-life exposure to PM2.5 components and ASD diagnosis, and identify potentially sensitive periods during pregnancy. Design, Setting, and Participants: This cohort study conducted in Ontario, Canada, used administrative health data covering approximately 98% of births in the province. The cohort included singleton live births from Ontario hospitals between April 1, 2002, and December 31, 2022, with gestational age 36 to 42 weeks, birth weight 500 to 6800 g, maternal age 15 to 55 years, complete residential history, and provincial health insurance coverage. At least 18 months of follow-up was required for postnatal exposure analyses. Exposures: Biweekly concentrations of PM2.5 components (black carbon, dust, ammonium, nitrate, organic matter, sulfate, sea salt) and weekly NO2 and O3 from conception to age 36 weeks. Prenatal models were adjusted for postnatal exposure using annual averages. Pollutant levels were estimated using satellite data, chemical transport models, and ground-based measurements. Main Outcomes and Measures: ASD diagnosis by age 5 years. Cox proportional hazards models were used to assess associations, and distributed lag nonlinear models identified sensitive exposure windows. Results: Among 2 183 324 births (mean [SD] maternal age, 30.5 [5.4] years; mean [SD] gestational age at birth, 39.2 [1.1] weeks; 1 152 040 female infants [48.9%]), prenatal exposure to PM2.5, sulfate (SO42-), and ammonium (NH4+), and postnatal exposure to ozone (O3), were associated with ASD. Hazard ratios (HRs) per 1-IQR increase for SO42- were 1.15 (95% CI, 1.06-1.25) and for NH4+ was 1.12 (95% CI, 1.01-1.23). PM2.5 mass excluding SO42- and NH4+ during their respective critical windows was not associated with ASD (HR, 1.04; 95% CI, 0.92-1.19). O3 exposure during weeks 26 to 30 (HR, 1.03; 95% CI, 1.00-1.05) and over the first year (HR, 1.09; 95% CI, 1.01-1.17) was also associated with ASD. Conclusions and Relevance: In this large cohort study, prenatal exposure to specific PM2.5 components and postnatal O3 exposure were associated with ASD risk. The second and third trimesters may represent sensitive exposure windows. These findings support further research on air pollution's role in ASD etiology.

Indexed as

Air PollutantsAutism Spectrum DisorderMaternal ExposureParticulate MatterPrenatal Exposure Delayed EffectsAdolescentAdultChild, PreschoolCohort StudiesFemaleHumansInfantInfant, NewbornMaleOntarioPregnancyAir PollutantsParticulate Matter

Identifiers

PMID41129149
PMCPMC12550638

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.