Abstract

BackgroundRecent interest in the health effects of air pollution focuses on identifying combinations of multiple pollutants that may be associated with adverse health risks.ObjectivePresent a methodology allowing health investigators to explore associations between categories of ambient air quality days (i.e., multipollutant day types) and adverse health.MethodsFirst, we applied a self-organizing map (SOM) to daily air quality data for 10 pollutants collected between January 1999 and December 2008 at a central monitoring location in Atlanta, Georgia to define a collection of multipollutant day types. Next, we conducted an epidemiologic analysis using our categories as a multipollutant metric of ambient air quality and daily counts of emergency department (ED) visits for asthma or wheeze among children aged 5 to 17 as the health endpoint. We estimated rate ratios (RR) for the association of multipollutant day types and pediatric asthma ED visits using a Poisson generalized linear model controlling for long-term, seasonal, and weekday trends and weather.ResultsUsing a low pollution day type as the reference level, we found significant associations of increased asthma morbidity in three of nine categories suggesting adverse effects when combinations of primary (CO, NO2, NOX, EC, and OC) and/or secondary (O3, NH4, SO4) pollutants exhibited elevated concentrations (typically, occurring on dry days with low wind speed). On days with only NO3 elevated (which tended to be relatively cool) and on days when only SO2 was elevated (which likely reflected plume touchdowns from coal combustion point sources), estimated associations were modestly positive but confidence intervals included the null.ConclusionsWe found that ED visits for pediatric asthma in Atlanta were more strongly associated with certain day types defined by multipollutant characteristics than days with low pollution levels; however, findings did not suggest that any specific combinations were more harmful than others. Relative to other health endpoints, asthma exacerbation may be driven more by total ambient pollutant exposure than by composition.Electronic supplementary materialThe online version of this article (doi:10.1186/s12940-015-0041-8) contains supplementary material, which is available to authorized users.

Highlights

  • There is much scientific interest in investigations of multiple pollutants in air pollution health studies to fill a general lack of knowledge surrounding the impacts of multiple pollutants and health [1–5]

  • We found that emergency department (ED) visits for pediatric asthma in Atlanta were more strongly associated with certain day types defined by multipollutant characteristics than days with low pollution levels; findings did not suggest that any specific combinations were more harmful than others

  • It is anticipated that quantification of such ‘multipollutant’ health risks will more accurately reflect the etiologic relationships between air pollution and adverse health and that certain combinations of pollutants may be found to be more toxic than others for particular outcomes [2]

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Summary

Introduction

There is much scientific interest in investigations of multiple pollutants in air pollution health studies to fill a general lack of knowledge surrounding the impacts of multiple pollutants and health [1–5]. It is important to note that this knowledge gap is not the result of lack of understanding of how air pollution exposure occurs (i.e., via inhalation of complex pollutant mixtures) but rather the result of limitations of traditional epidemiologic models and exposure characterization methodologies [6, 7]. Factors such as the strong multicollinearity between different pollutants present in most air pollution data sets present inferential challenges since standard statistical analyses will typically result in inflation of standard errors. Recent interest in the health effects of air pollution focuses on identifying combinations of multiple pollutants that may be associated with adverse health risks

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