Differential mortality risks associated with PM_2.5 components : a multi-country, multi-city study

Abstract

<div lang="en" class="abs"><p class="abs_header">Abstract</p><p><em>Background:</em> The association between fine particulate matter (PM_2.5) and mortality widely differs between as well as within countries. Differences in PM_2.5 composition can play a role in modifying the effect estimates, but there is little evidence about which components have higher impacts on mortality.</p><p><em>Methods:</em> We applied a 2-stage analysis on data collected from 210 locations in 16 countries. In the first stage, we estimated location-specific relative risks (RR) for mortality associated with daily total PM_2.5 through time series regression analysis. We then pooled these estimates in a meta-regression model that included city-specific logratio-transformed proportions of seven PM_2.5 components as well as meta-predictors derived from city-specific socio-economic and environmental indicators.</p><p><em>Results:</em> We found associations between RR and several PM_2.5 components. Increasing the ammonium (NH₄⁺) proportion from 1% to 22%, while keeping a relative average proportion of other components, increased the RR from 1.0063 (95% confidence interval [95% CI] = 1.0030, 1.0097) to 1.0102 (95% CI = 1.0070, 1.0135). Conversely, an increase in nitrate (NO₃⁻) from 1% to 71% resulted in a reduced RR, from 1.0100 (95% CI = 1.0067, 1.0133) to 1.0037 (95% CI = 0.9998, 1.0077). Differences in composition explained a substantial part of the heterogeneity in PM_2.5 risk.</p><p><em>Conclusions:</em> These findings contribute to the identification of more hazardous emission sources. Further work is needed to understand the health impacts of PM_2.5 components and sources given the overlapping sources and correlations among many components.</p></div>