Literature DB >> 23778234

Spatiotemporally resolved air exchange rate as a modifier of acute air pollution-related morbidity in Atlanta.

Jeremy A Sarnat1, Stefanie Ebelt Sarnat, W Dana Flanders, Howard H Chang, James Mulholland, Lisa Baxter, Vlad Isakov, Halûk Özkaynak.   

Abstract

Epidemiological studies frequently use central site concentrations as surrogates of exposure to air pollutants. Variability in air pollutant infiltration due to differential air exchange rates (AERs) is potentially a major factor affecting the relationship between central site concentrations and actual exposure, and may thus influence observed health risk estimates. In this analysis, we examined AER as an effect modifier of associations between several urban air pollutants and corresponding emergency department (ED) visits for asthma and wheeze during a 4-year study period (January 1999-December 2002) for a 186 ZIP code area in metro Atlanta. We found positive associations for the interaction between AER and pollution on asthma ED visits for both carbon monoxide (CO) and nitrogen oxides (NO(x)), indicating significant or near-significant effect modification by AER on the pollutant risk-ratio estimates. In contrast, the interaction term between particulate matter (PM)(2.5) and AER on asthma ED visits was negative and significant. However, alternative distributional tertile analyses showed PM(2.5) and AER epidemiological model results to be similar to those found for NOx and CO (namely, increasing risk ratios (RRs) with increasing AERs when ambient PM(2.5) concentrations were below the highest tertile of their distribution). Despite the fact that ozone (O(3)) was a strong independent predictor of asthma ED visits in our main analysis, we found no O(3)-AER effect modification. To our knowledge, our findings for CO, NOx, and PM(2.5) are the first to provide an indication of short-term (i.e., daily) effect modification of multiple air pollution-related risk associations with daily changes in AER. Although limited to one outcome category in a single large urban locale, the findings suggest that the use of relatively simple and easy-to-derive AER surrogates may reflect intraurban differences in short-term exposures to pollutants of ambient origin.

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Year:  2013        PMID: 23778234     DOI: 10.1038/jes.2013.32

Source DB:  PubMed          Journal:  J Expo Sci Environ Epidemiol        ISSN: 1559-0631            Impact factor:   5.563


  15 in total

1.  Probabilistic estimation of residential air exchange rates for population-based human exposure modeling.

Authors:  Lisa K Baxter; Casson Stallings; Luther Smith; Janet Burke
Journal:  J Expo Sci Environ Epidemiol       Date:  2016-08-24       Impact factor: 5.563

2.  Summer indoor heat exposure and respiratory and cardiovascular distress calls in New York City, NY, U.S.

Authors:  C K Uejio; J D Tamerius; J Vredenburg; G Asaeda; D A Isaacs; J Braun; A Quinn; J P Freese
Journal:  Indoor Air       Date:  2015-07-08       Impact factor: 5.770

3.  Estimating the Impact of Air Pollution on Healthcare-Seeking Behaviour by Applying a Difference-in-Differences Method to Syndromic Surveillance Data.

Authors:  Roger Morbey; Gillian Smith; Karen Exley; André Charlett; Daniela de Angelis; Sally Harcourt; Felipe Gonzalez; Iain Lake; Alec Dobney; Alex Elliot
Journal:  Int J Environ Res Public Health       Date:  2022-06-09       Impact factor: 4.614

4.  Modeling individual exposures to ambient PM2.5 in the diabetes and the environment panel study (DEPS).

Authors:  Michael Breen; Yadong Xu; Alexandra Schneider; Ronald Williams; Robert Devlin
Journal:  Sci Total Environ       Date:  2018-02-19       Impact factor: 7.963

5.  Refined ambient PM2.5 exposure surrogates and the risk of myocardial infarction.

Authors:  Natasha Hodas; Barbara J Turpin; Melissa M Lunden; Lisa K Baxter; Halûk Özkaynak; Janet Burke; Pamela Ohman-Strickland; Kelly Thevenet-Morrison; John B Kostis; David Q Rich
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-05-29       Impact factor: 5.563

Review 6.  Who is more affected by ozone pollution? A systematic review and meta-analysis.

Authors:  Michelle L Bell; Antonella Zanobetti; Francesca Dominici
Journal:  Am J Epidemiol       Date:  2014-05-28       Impact factor: 4.897

7.  Exposure prediction approaches used in air pollution epidemiology studies: key findings and future recommendations.

Authors:  Lisa K Baxter; Kathie L Dionisio; Janet Burke; Stefanie Ebelt Sarnat; Jeremy A Sarnat; Natasha Hodas; David Q Rich; Barbara J Turpin; Rena R Jones; Elizabeth Mannshardt; Naresh Kumar; Sean D Beevers; Halûk Özkaynak
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-10-02       Impact factor: 5.563

8.  Estimating climate change-related impacts on outdoor air pollution infiltration.

Authors:  Donghai Liang; Wan-Chen Lee; Jiawen Liao; Joy Lawrence; Jack M Wolfson; Stefanie T Ebelt; Choong-Min Kang; Petros Koutrakis; Jeremy A Sarnat
Journal:  Environ Res       Date:  2021-03-08       Impact factor: 6.498

9.  Comparison of Highly Resolved Model-Based Exposure Metrics for Traffic-Related Air Pollutants to Support Environmental Health Studies.

Authors:  Shih Ying Chang; William Vizuete; Michael Breen; Vlad Isakov; Saravanan Arunachalam
Journal:  Int J Environ Res Public Health       Date:  2015-12-08       Impact factor: 3.390

10.  An empirical assessment of exposure measurement error and effect attenuation in bipollutant epidemiologic models.

Authors:  Kathie L Dionisio; Lisa K Baxter; Howard H Chang
Journal:  Environ Health Perspect       Date:  2014-07-08       Impact factor: 9.031

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