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Author Notes:

Tanya L. Alderete, Email: tanya.alderete@colorado.edu

Zachariah Morgan helped with development of the analytical approach, conducted all analyses, and prepared the original manuscript draft. Maximillian Bailey, William Patterson, and Diana Trifonova assisted with data analysis and manuscript preparation. Noopur Naik helped prepare datasets and performed geocoding for ambient air pollution estimates. Howard Chang advised on analytical approaches. Frederick Lurmann modeled air pollutant exposure estimates. Bradley Peterson oversaw evaluation of developmental outcomes. Michael Goran supervised all primary data collection and acquired funding. Tanya Alderete conceived the hypothesis and data analysis plan, supervised the formal analysis, and acquired funding. All authors reviewed and revised the manuscript.

Research described in this article was conducted under contract to the Health Effects Institute (HEI), an organization jointly funded by the United States Environmental Protection Agency (EPA) (Assistance Award No. CR 83998101) and certain motor vehicle and engine manufacturers. The contents of this article do not necessarily reflect the views of HEI, or its sponsors, nor do they necessarily reflect the views and policies of the EPA or motor vehicle and engine manufacturers.

Michael I. Goran receives book royalties. Michael I. Goran is a scientific advisor for Yumi. The other authors declare they have no actual or potential competing financial interests.

Subject:

Research Funding:

This work was supported by the NIH NIDDK (R01 DK11079), The Gerber Foundation (15PN-013), NIH NIEHS (R00 ES027853), the Health Effects Institute (HEI) Rosenblith Award, and the NIH NIMHD Southern California Center for Latino Health (P50 MD17344). Design of the study; collection, analysis, and interpretation of data; and writing the manuscript was strictly the responsibility of the authors.

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Environmental Sciences
  • Public, Environmental & Occupational Health
  • Environmental Sciences & Ecology
  • Neurodevelopment
  • Air Pollution
  • Health Disparities
  • Child Development
  • Pregnancy Exposures
  • POLYCYCLIC AROMATIC-HYDROCARBONS
  • MATERNAL IMMUNE ACTIVATION
  • BRAIN-DEVELOPMENT
  • CHILDREN
  • PREGNANCY
  • BIRTH
  • RISK
  • NEUROINFLAMMATION
  • PARTICIPATION
  • INTERLEUKIN-6

Prenatal exposure to ambient air pollution is associated with neurodevelopmental outcomes at 2 years of age

Journal Title:

ENVIRONMENTAL HEALTH

Volume:

Volume 22, Number 1

Publisher:

, Pages 11-11

Type of Work:

Article | Final Publisher PDF

Abstract:

Background: Higher prenatal ambient air pollution exposure has been associated with impaired neurodevelopment in preschoolers and school-aged children. The purpose of this study was to explore the relationships between prenatal ambient air pollution exposure and neurodevelopment during infancy. Methods: This study examined 161 Latino mother-infant pairs from the Southern California Mother’s Milk Study. Exposure assessments included prenatal nitrogen dioxide (NO2) and particulate matter smaller than 2.5 and 10 microns in diameter (PM2.5 and PM10, respectively). The pregnancy period was also examined as three windows, early, mid, and late, which describe the first, middle, and last three months of pregnancy. Infant neurodevelopmental outcomes at 2 years of age were measured using the Bayley-III Scales of Infant and Toddler Development. Multivariable linear models and distributed lag linear models (DLM) were used to examine relationships between prenatal exposures and neurodevelopmental scores, adjusting for socioeconomic status, breastfeeding frequency, time of delivery, pre-pregnancy body mass index, and infant birthweight and sex. Results: Higher prenatal exposure to PM10 and PM2.5 was negatively associated with composite cognitive score (β = -2.01 [-3.89, -0.13] and β = -1.97 [-3.83, -0.10], respectively). In addition, higher average prenatal exposure to PM10 was negatively associated with composite motor (β = -2.35 [-3.95, -0.74]), scaled motor (β = -0.77 [-1.30, -0.24]), gross motor (β = -0.37 [-0.70, -0.04]), fine motor (β = -0.40 [-0.71, -0.09]), composite language (β = -1.87 [-3.52, -0.22]), scaled language (β = -0.61 [-1.18, -0.05]) and expressive communication scaled scores (β = -0.36 [-0.66, -0.05]). DLMs showed that higher prenatal air pollution exposure during mid and late pregnancy was inversely associated with motor, cognitive, and communication language scores. Conclusions: Higher exposure to air pollutants during pregnancy, particularly in the mid and late prenatal periods, was inversely associated with scaled and composite motor, cognitive, and language scores at 2 years. These results indicate that prenatal ambient air pollution may negatively impact neurodevelopment in early life.

Copyright information:

© The Author(s) 2023

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
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