ArticleEnvironmental health perspectives2015
A unified spatiotemporal modeling approach for predicting concentrations of multiple air pollutants in the multi-ethnic study of atherosclerosis and air pollution.
Article in Environmental health perspectives, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 144 papers.
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Who cites it
144 citing papers in PubMed.
- Long-term ambient air pollution is not associated with circulating soluble urokinase plasminogen activator receptor.Environmental epidemiology (Philadelphia, Pa.) · 2026Article
- A Spatiotemporal Modeling Approach for Predicting Concentrations of Ammonia in an Agricultural Region.GeoHealth · 2026Article
- Residential aircraft and road noise exposure, cognition, and Alzheimer's dementia in a US cohort of older adults.Environmental epidemiology (Philadelphia, Pa.) · 2026Article
- Street view-based exposure to greenspace and mortality: the Multi-Ethnic Study of Atherosclerosis.Environment international · 2026Article
- Long-term outdoor air pollution and risk of ovarian and endometrial cancers in a large prospective cohort.Journal of exposure science & environmental epidemiology · 2026Article
- Prenatal Exposure to Nitrogen Dioxide, Fine Particulates, and Ozone in Relation to Child Behavior: The Environmental Influences on Child Health Outcomes Cohort.Environmental science & technology · 2026Article
- Mobile Monitoring and Land Use Regression Modeling of Ultrafine Particle Spatial Distribution in Beijing, China, during August 2022-July 2023.Environmental science & technology · 2026Article
- Pre- and postnatal exposure to PMEnvironmental research · 2026Article
- Gestational fine particulate matter exposure and perinatal outcomes in the ECHO cohort: Associations across pregnancy windows.Environmental research · 2026Article
- Air Pollution and the Progression of Physical Function Limitations and Disability in Aging Adults.JAMA network open · 2026Article
- Ambient air pollution and incident dementia: exploration of relevant exposure windows.Environmental research · 2025Article
- Air Pollutants and Breast Cancer Risk: A Parallel Analysis of Five Large US Prospective Cohorts.American journal of public health · 2025Article
- An epigenome-wide analysis of DNA methylation, racialized and economic inequities, and air pollution.Clinical epigenetics · 2025Article
- Pre- and post-move exposure to air pollution and neighborhood socioeconomic status.The Science of the total environment · 2025Article
- Ambient air pollution exposure and lung cancer risk in a large prospective U.S. cohort.The Science of the total environment · 2025Article
- Traffic-related air pollutant exposure and physical performance in the Adult Changes in Thought cohort.Environment international · 2025Article
- Association of tailpipe-related and nontailpipe-related air pollution exposure with neuroimaging outcomes.Environmental epidemiology (Philadelphia, Pa.) · 2025Article
- Air pollution and cognitive performance in late life: the role of lipid profile - results from the Multi-Ethnic Study of Atherosclerosis (MESA).Environment international · 2025Article
- Optimizing Air Pollution Exposure Assessment with Application to Cognitive Function.Research report (Health Effects Institute) · 2025Article
- Air pollution exposures and adverse childhood experiences in relation to sleep health in middle childhood.International journal of hygiene and environmental health · 2025Article
84 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors.
Funding
Abstract
backgroundCohort studies of the relationship between air pollution exposure and chronic health effects require predictions of exposure over long periods of time.
objectivesWe developed a unified modeling approach for predicting fine particulate matter, nitrogen dioxide, oxides of nitrogen, and black carbon (as measured by light absorption coefficient) in six U.S. metropolitan regions from 1999 through early 2012 as part of the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air).
methodsWe obtained monitoring data from regulatory networks and supplemented those data with study-specific measurements collected from MESA Air community locations and participants' homes. In each region, we applied a spatiotemporal model that included a long-term spatial mean, time trends with spatially varying coefficients, and a spatiotemporal residual. The mean structure was derived from a large set of geographic covariates that was reduced using partial least-squares regression. We estimated time trends from observed time series and used spatial smoothing methods to borrow strength between observations.
resultsPrediction accuracy was high for most models, with cross-validation R2 (R2CV) > 0.80 at regulatory and fixed sites for most regions and pollutants. At home sites, overall R2CV ranged from 0.45 to 0.92, and temporally adjusted R2CV ranged from 0.23 to 0.92.
conclusionsThis novel spatiotemporal modeling approach provides accurate fine-scale predictions in multiple regions for four pollutants. We have generated participant-specific predictions for MESA Air to investigate health effects of long-term air pollution exposures. These successes highlight modeling advances that can be adopted more widely in modern cohort studies.
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