Maternal exposure to particulate matter early in pregnancy and congenital anomalies in offspring: Analysis of concentration-response relationships in a population-based cohort with follow-up throughout childhood.


Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
01 Jul 2023
Historique:
received: 06 12 2022
revised: 22 03 2023
accepted: 22 03 2023
medline: 29 5 2023
pubmed: 3 4 2023
entrez: 2 4 2023
Statut: ppublish

Résumé

Studies have suggested an association between particulate matter (PM) air pollution and certain congenital anomalies (CAs). However, most studies assumed a linear concentration-response relation and were based on anomalies that were ascertained at birth or up to 1 year of age. We investigated associations between exposures to PM during the first trimester of pregnancy and CAs in 9 organ systems using birth and childhood follow-up data from a leading health care provider in Israel. We conducted a retrospective population-based cohort study among 396,334 births, 2004-2015. Daily PM data at a 1 × 1 km spatial grid were obtained from a satellite-derived prediction models and were linked to the mothers' residential addresses at birth. Adjusted odds ratios (ORs) were estimated with logistic regression models using exposure levels as either continuous or categorical variables. We captured 57,638 isolated CAs with estimated prevalence of 96 and 136 anomalies per 1000 births in the first year of life and by age 6 years, respectively. Analysis of continuous PM with diameter < 2.5 μm (PM

Identifiants

pubmed: 37004765
pii: S0048-9697(23)01701-1
doi: 10.1016/j.scitotenv.2023.163082
pii:
doi:

Substances chimiques

Particulate Matter 0
Air Pollutants 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

163082

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Ronit Nirel (R)

Department of Statistics and Data Science, The Hebrew University of Jerusalem, Jerusalem, Israel. Electronic address: nirelr@mail.huji.ac.il.

Tomer Shoham (T)

Department of Statistics and Data Science, The Hebrew University of Jerusalem, Jerusalem, Israel.

Ran Rotem (R)

Maccabi Institute of Research and Innovation, Maccabi Healthcare Services, Tel-Aviv, Israel; Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, United States.

Wiessam Abu Ahmad (WA)

Braun School of Public Health and Community Medicine, Hadassah Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.

Gideon Koren (G)

The Dr. Miriam and Sheldon G. Adelson Medical School, Ariel University, Ariel, Israel.

Itai Kloog (I)

Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

Rachel Golan (R)

Department of Epidemiology, Biostatistics and Community Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

Hagai Levine (H)

Braun School of Public Health and Community Medicine, Hadassah Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.

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Classifications MeSH