| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 6342691 | Atmospheric Environment | 2011 | 9 Pages | 
Abstract
												⺠PM chemical composition may better predict health effects than PM mass or size. ⺠We reviewed 29 studies that attempted this by using apportionment methods. ⺠Were specific sources or factors consistently linked to specific health effects? ⺠Apportionment methods have identified links, but we found little if any consistency.
											Keywords
												FEV1SBPWBCPM10vWFPMFPLSPM2.5RBCPEFFVCCMBCAPSPMNPNN50COXRMSSDSDNNConcentrated ambient particlesHRVNH4+NO3−NOxPCASO42−Particle pollutionAmmoniacyclooxygenaseHealth effectOzoneEpidemiologyNitrogen oxidesinterleukinBALFemergency departmentcardiovascular diseasePrincipal component analysisChemical mass balancePositive matrix factorizationSource apportionmentPeak expiratory flowPartial least squaresSO2Sulfur dioxideparticulate matterCVDToxicologySulfateHeart rateforced vital capacityVon Willebrand factorsystolic blood pressurecardiovascularBronchoalveolar lavage fluidSEMStructural equation modelingMultilinear engineNitrateNO2Nitrogen dioxideheme oxygenaseC-reactive proteinCRPPolymorphonuclearOrganic carbonelemental carbonred blood cellwhite blood cells
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											Authors
												Lindsay Wichers Stanek, Jason D. Sacks, Steven J. Dutton, Jean-Jacques B. Dubois, 
											