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Review
. 2014 Aug 8;1(3):258-274.
doi: 10.1007/s40572-014-0022-z. eCollection 2014.

Ambient Coarse Particulate Matter and Human Health: A Systematic Review and Meta-Analysis

Affiliations
Review

Ambient Coarse Particulate Matter and Human Health: A Systematic Review and Meta-Analysis

Sara D Adar et al. Curr Environ Health Rep. .

Abstract

Airborne particles have been linked to increased mortality and morbidity. As most research has focused on fine particles (PM2.5), the health implications of coarse particles (PM10-2.5) are not well understood. We conducted a systematic review and meta-analysis of associations for short- and long-term PM10-2.5 concentrations with mortality and hospital admissions. Using 23 mortality and 10 hospital admissions studies, we documented suggestive evidence of increased morbidity and mortality in relation to higher short-term PM10-2.5 concentrations, with stronger relationships for respiratory than cardiovascular endpoints. Reported associations were highly heterogeneous, however, especially by geographic region and average PM10-2.5 concentrations. Adjustment for PM2.5 and publication bias resulted in weaker and less precise effect estimates, although positive associations remained for short-term PM10-2.5 concentrations. Inconsistent relationships between effect estimates for PM10-2.5 and correlations between PM10-2.5 and PM2.5 concentrations, however, indicate that PM10-2.5 associations cannot be solely explained by co-exposure to PM2.5. While suggestive evidence was found of increased mortality with long-term PM10-2.5 concentrations, these associations were not robust to control for PM2.5. Additional research is required to better understand sources of heterogeneity of associations between PM10-2.5 and adverse health outcomes.

Keywords: Air pollution; Cardiovascular; Case-crossover; Coarse particulate matter; Health; Hospitalizations; Mortality; Respiratory; Time-series.

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Conflict of interest statement

Sara D. Adar, Paola A. Filigrana, Nicholas Clements, and Jennifer L. Peel declare that they have no conflicts of interest.

Figures

Fig. 1
Fig. 1
Forest plot of incidence rate ratios for mortality and hospital admissions per 10 μg/m3 of short-term exposure to PM10-2.5. Note: Overall estimates are from random-effects models without adjustment for possible publication bias
Fig. 2
Fig. 2
Summary incidence rate ratios for short-term exposures to PM10-2.5 with mortality by study characteristics. Note: Estimates stratified by concentrations include city-specific data from Malig and Ostro [35] and Chock et al. [45] provided via personal correspondence. Estimates were also provided by Zanobetti and Schwartz [••] but ultimately not included because the use of shrunken Bayes estimates could have undue influence on our results
Fig. 3
Fig. 3
Summary incidence rate ratios for short-term exposures to PM10-2.5 with hospital admissions by study characteristics. Note: Estimates stratified by PM concentrations and correlations include city-specific estimates provided by Peng et al. [••] and Host et al. [61] in personal communications
Fig. 4
Fig. 4
Incidence rate ratios (RR) for PM10-2.5 as a function of the correlation between short-term PM10-2.5 and PM2.5 concentrations stratified by PM2.5 associations. Note: Data include city-specific estimates provided by Peng et al. [••] and Host et al. [61] from personal communications
Fig. 5
Fig. 5
Summary of rate ratios between long-term exposure to PM10-2.5 and death per 10 μg/m3

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