Publication
Joint Effects of Ambient Air Pollutants on Pediatric Asthma Emergency Department Visits in Atlanta, 1998-2004
Downloadable Content
- Persistent URL
- Last modified
- 02/20/2025
- Type of Material
- Authors
- Language
- English
- Date
- 2014-09-01
- Publisher
- Lippincott, Williams & Wilkins
- Publication Version
- Copyright Statement
- Copyright: © 2014 by Lippincott Williams & Wilkins, Inc
- Final Published Version (URL)
- Title of Journal or Parent Work
- ISSN
- 1044-3983
- Volume
- 25
- Issue
- 5
- Start Page
- 666
- End Page
- 673
- Grant/Funding Information
- This publication was made possible by US Environmental Protection Agency (USEPA), contract EP-12-H-000093, National Institutes of Health (NIH) grant K01ES019877, and USEPA grant R834799.
- Support for the original emergency department study was provided by grants from NIH (R01ES011294), USEPA (STAR R829213-01), and the Electric Power Research Institute (EP-P27723/C13172).
- Supplemental Material (URL)
- Abstract
- BACKGROUND: Because ambient air pollution exposure occurs as mixtures, consideration of joint effects of multiple pollutants may advance our understanding of the health effects of air pollution. METHODS: We assessed the joint effect of air pollutants on pediatric asthma emergency department visits in Atlanta during 1998-2004. We selected combinations of pollutants that were representative of oxidant gases and secondary, traffic, power plant, and criteria pollutants, constructed using combinations of criteria pollutants and fine particulate matter (PM2.5) components. Joint effects were assessed using multipollutant Poisson generalized linear models controlling for time trends, meteorology, and daily nonasthma upper respiratory emergency department visit counts. Rate ratios (RRs) were calculated for the combined effect of an interquartile range increment in each pollutant's concentration. RESULTS: Increases in all of the selected pollutant combinations were associated with increases in warm-season pediatric asthma emergency department visits (eg, joint-effect RR = 1.13 [95% confidence interval = 1.06-1.21] for criteria pollutants, including ozone, carbon monoxide, nitrogen dioxide, sulfur dioxide, and PM2.5). Cold-season joint effects from models without nonlinear effects were generally weaker than warm-season effects. Joint-effect estimates from multipollutant models were often smaller than estimates based on single-pollutant models, due to control for confounding. Compared with models without interactions, joint-effect estimates from models including first-order pollutant interactions were largely similar. There was evidence of nonlinear cold-season effects. CONCLUSIONS: Our analyses illustrate how consideration of joint effects can add to our understanding of health effects of multipollutant exposures and also illustrate some of the complexities involved in calculating and interpreting joint effects of multiple pollutants. Copyright © 2014 by Lippincott Williams & Wilkins.
- Author Notes
- Keywords
- Life Sciences & Biomedicine
- TIME-SERIES HEALTH
- Science & Technology
- MULTIPOLLUTANT
- SOURCE-APPORTIONMENT
- CUMULATIVE RISK-ASSESSMENT
- PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH, SCI
- Public, Environmental & Occupational Health
- MEASUREMENT ERROR
- DAILY MORTALITY
- SHORT-TERM ASSOCIATIONS
- GASEOUS-POLLUTANTS
- QUALITY
- POLLUTION
- Research Categories
- Environmental Sciences
- Health Sciences, Public Health
- Health Sciences, Epidemiology
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