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Prenatal Ambient Air Pollutant Mixture Exposure and Early School-age Lung Function

Research linking prenatal ambient air pollution with childhood lung function has largely considered one pollutant at a time. Real-life exposure is to mixtures of pollutants and their chemical components; not considering joint effects/effect modification by co-exposures contributes to misleading resu...

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Detalles Bibliográficos
Autores principales: Hsu, Hsiao-Hsien Leon, Wilson, Ander, Schwartz, Joel, Kloog, Itai, Wright, Robert O., Coull, Brent A., Wright, Rosalind J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097575/
https://www.ncbi.nlm.nih.gov/pubmed/37064424
http://dx.doi.org/10.1097/EE9.0000000000000249
Descripción
Sumario:Research linking prenatal ambient air pollution with childhood lung function has largely considered one pollutant at a time. Real-life exposure is to mixtures of pollutants and their chemical components; not considering joint effects/effect modification by co-exposures contributes to misleading results. METHODS: Analyses included 198 mother-child dyads recruited from two hospitals and affiliated community health centers in Boston, Massachusetts, USA. Daily prenatal pollutant exposures were estimated using satellite-based hybrid chemical-transport models, including nitrogen dioxide(NO(2)), ozone(O(3)), and fine particle constituents (elemental carbon [EC], organic carbon [OC], nitrate [NO(3)(–)], sulfate [SO(4)(2–)], and ammonium [NH(4)(+)]). Spirometry was performed at age 6.99 ± 0.89 years; forced expiratory volume in 1s (FEV(1)), forced vital capacity (FVC), and forced mid-expiratory flow (FEF(25-75)) z-scores accounted for age, sex, height, and race/ethnicity. We examined associations between weekly-averaged prenatal pollution mixture levels and outcomes using Bayesian Kernel Machine Regression-Distributed Lag Models (BKMR-DLMs) to identify susceptibility windows for each component and estimate a potentially complex mixture exposure-response relationship including nonlinear effects and interactions among exposures. We also performed linear regression models using time-weighted-mixture component levels derived by BKMR-DLMs adjusting for maternal age, education, perinatal smoking, and temperature. RESULTS: Most mothers were Hispanic (63%) or Black (21%) with ≤12 years of education (67%). BKMR-DLMs identified a significant effect for O(3) exposure at 18–22 weeks gestation predicting lower FEV(1)/FVC. Linear regression identified significant associations for O(3,) NH(4)(+), and OC with decreased FEV(1)/FVC, FEV(1), and FEF(25-75), respectively. There was no evidence of interactions among pollutants. CONCLUSIONS: In this multi-pollutant model, prenatal O(3), OC, and NH(4)(+) were most strongly associated with reduced early childhood lung function.