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Characterization of the concentration-response curve for ambient ozone and acute respiratory morbidity in 5 U.S. cities

Although short-term exposure to ambient ozone (O(3)) can cause poor respiratory health outcomes, the shape of the concentration-response (C-R) between O(3) and respiratory morbidity has not been widely investigated. We estimated the effect of daily O(3) on emergency department (ED) visits for select...

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Detalles Bibliográficos
Autores principales: Barry, Vaughn, Klein, Mitchel, Winquist, Andrea, Chang, Howard H., Mulholland, James A., Talbott, Evelyn O., Rager, Judith R., Tolbert, Paige E., Sarnat, Stefanie Ebelt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6301150/
https://www.ncbi.nlm.nih.gov/pubmed/29915241
http://dx.doi.org/10.1038/s41370-018-0048-7
Descripción
Sumario:Although short-term exposure to ambient ozone (O(3)) can cause poor respiratory health outcomes, the shape of the concentration-response (C-R) between O(3) and respiratory morbidity has not been widely investigated. We estimated the effect of daily O(3) on emergency department (ED) visits for selected respiratory outcomes in 5 U.S. cities under various model assumptions and assessed model fit. Population-weighted average 8-hr maximum O(3) concentrations were estimated in each city. Individual-level data on ED visits were obtained from hospitals or hospital associations. Poisson log-linear models were used to estimate city-specific associations between the daily number of respiratory ED visits and 3- day moving average O(3) levels controlling for long-term trends and meteorology. Linear, linear-threshold, quadratic, cubic, categorical, and cubic spline O(3) C-R models were considered. Using linear C-R models, O3 was significantly and positively associated with respiratory ED visits in each city with rate ratios of 1.02-1.07 per 25 ppb. Models suggested that O(3)-ED C-R shapes were linear until O(3) concentrations of roughly 60 ppb at which point risk continued to increase linearly in some cities for certain outcomes while risk flattened in others. Assessing C-R shape is necessary to identify the most appropriate form of the exposure for each given study setting.