An Exploratory Analysis of the Relationship between Mortality and the Chemical Composition of Airborne Particulate Matter

TitleAn Exploratory Analysis of the Relationship between Mortality and the Chemical Composition of Airborne Particulate Matter
Publication TypeJournal Article
Year of Publication2000
AuthorsFeng C Tsai, Michael G Apte, Joan M Daisey
JournalInhalation Toxicology
Volume12
121
IssueSupplement 2
Pagination121-135
Date Published01/2000
Abstract

We explored relationships between daily mortality and the major sources of airborne particulate matter (PM) using a newly developed approach, Factor Analysis and Poisson Regression (FA/PR). We hypothesized that by adding information on PM chemical speciation and source apportionment to typical PM epidemiological analysis, we could identify PM sources that cause adverse health effects. The FA/PR method was applied to a merged dataset of mortality and extensive PM chemical speciation (including trace metals, sulfate and extractable organic matter) in New Jersey. Statistically significant associations were found between mortality and several of the FA-derived PM sources, including oil burning, industry, sulfate aerosol, and motor vehicles. The FA/PR method provides new insight into potentially important PM sources related to mortality. For the dataset we analyzed, the use of FA/PR to integrate multiple chemical species into source-related PM exposure metrics was found to be a more sensitive tool than the traditional approach using PM mass alone.

DOI10.1080/08958378.2000.11463204
LBNL Report Number

LBNL-43583