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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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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 |
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. |
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