Multi-pollutant exposure profiles associated with term low birth weight in Los Angeles County

Environment International
Eric CokerJohn Molitor

Abstract

Research indicates that multiple outdoor air pollutants and adverse neighborhood conditions are spatially correlated. Yet health risks associated with concurrent exposure to air pollution mixtures and clustered neighborhood factors remain underexplored. Statistical models to assess the health effects from pollutant mixtures remain limited, due to problems of collinearity between pollutants and area-level covariates, and increases in covariate dimensionality. Here we identify pollutant exposure profiles and neighborhood contextual profiles within Los Angeles (LA) County. We then relate these profiles with term low birth weight (TLBW). We used land use regression to estimate NO2, NO, and PM2.5 concentrations averaged over census block groups to generate pollutant exposure profile clusters and census block group-level contextual profile clusters, using a Bayesian profile regression method. Pollutant profile cluster risk estimation was implemented using a multilevel hierarchical model, adjusting for individual-level covariates, contextual profile cluster random effects, and modeling of spatially structured and unstructured residual error. Our analysis found 13 clusters of pollutant exposure profiles. Correlations between study poll...Continue Reading

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Citations

May 10, 2017·International Journal of Environmental Research and Public Health·Eric CokerBrenda Eskenazi
Aug 31, 2018·Environmental Science and Pollution Research International·Xi GongF Benjamin Zhan
Jan 11, 2018·Journal of Exposure Science & Environmental Epidemiology·Kimberly P BergerKim G Harley
Feb 11, 2018·Current Environmental Health Reports·Eric CokerJohn Molitor
May 1, 2021·Scientific Reports·Zahra KhorramiNarges Khanjani
Dec 1, 2019·Environmental Research Letters : ERL [Web Site]·Seulkee HeoMichelle L Bell
Oct 31, 2020·Environmental Science & Technology·Jessica E LainePaolo Vineis
Oct 6, 2021·The Journal of Clinical Investigation·Yan-Chak LiSupinda Bunyavanich

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