Time-Series Analysis of Mortality Effects of Fine Particulate Matter Components in Detroit and Seattle

Recent toxicological and epidemiological studies have shown associations between particulate matter (PM) and adverse health effects, but which PM components are most influential is less well known. In this study, we used time-series analyses to determine the associations between daily fine PM [PM ≤...

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Published inEnvironmental health perspectives Vol. 119; no. 4; pp. 461 - 466
Main Authors JIANG ZHOU, ITO, Kazuhiko, LALL, Ramona, LIPPMANN, Morton, THURSTON, George
Format Journal Article
LanguageEnglish
Published Research Triangle Park, NC US Department of Health and Human Services 01.04.2011
National Institute of Environmental Health Sciences
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Abstract Recent toxicological and epidemiological studies have shown associations between particulate matter (PM) and adverse health effects, but which PM components are most influential is less well known. In this study, we used time-series analyses to determine the associations between daily fine PM [PM ≤ 2.5 µm in aerodynamic diameter (PM2.5)] concentrations and daily mortality in two U.S. cities-Seattle, Washington, and Detroit, Michigan. We obtained daily PM2.5 filters for the years of 2002-2004 and analyzed trace elements using X-ray fluorescence and black carbon using light reflectance as a surrogate measure of elemental carbon. We used Poisson regression and distributed lag models to estimate excess deaths for all causes and for cardiovascular and respiratory diseases adjusting for time-varying covariates. We computed the excess risks for interquartile range increases of each pollutant at lags of 0 through 3 days for both warm and cold seasons. The cardiovascular and respiratory mortality series exhibited different source and seasonal patterns in each city. The PM2.5 components and gaseous pollutants associated with mortality in Detroit were most associated with warm season secondary aerosols and traffic markers. In Seattle, the component species most closely associated with mortality included those for cold season traffic and other combustion sources, such as residual oil and wood burning. The effects of PM2.5 on daily mortality vary with source, season, and locale, consistent with the hypothesis that PM composition has an appreciable influence on the health effects attributable to PM.
AbstractList Recent toxicological and epidemiological studies have shown associations between particulate matter (PM) and adverse health effects, but which PM components are most influential is less well known. In this study, we used time-series analyses to determine the associations between daily fine PM [PM less than or equal to 2.5 mu m in aerodynamic diameter (PM2.5)] concentrations and daily mortality in two U.S. cities-Seattle, Washington, and Detroit, Michigan. We obtained daily PM2.5 filters for the years of 2002-2004 and analyzed trace elements using X-ray fluorescence and black carbon using light reflectance as a surrogate measure of elemental carbon. We used Poisson regression and distributed lag models to estimate excess deaths for all causes and for cardiovascular and respiratory diseases adjusting for time-varying covariates. We computed the excess risks for interquartile range increases of each pollutant at lags of 0 through 3 days for both warm and cold seasons. The cardiovascular and respiratory mortality series exhibited different source and seasonal patterns in each city. The PM2.5 components and gaseous pollutants associated with mortality in Detroit were most associated with warm season secondary aerosols and traffic markers. In Seattle, the component species most closely associated with mortality included those for cold season traffic and other combustion sources, such as residual oil and wood burning. The effects of PM2.5 on daily mortality vary with source, season, and locale, consistent with the hypothesis that PM composition has an appreciable influence on the health effects attributable to PM.
Recent toxicological and epidemiological studies have shown associations between particulate matter (PM) and adverse health effects, but which PM components are most influential is less well known. In this study, we used time-series analyses to determine the associations between daily fine PM [PM ≤ 2.5 µm in aerodynamic diameter (PM2.5)] concentrations and daily mortality in two U.S. cities-Seattle, Washington, and Detroit, Michigan. We obtained daily PM2.5 filters for the years of 2002-2004 and analyzed trace elements using X-ray fluorescence and black carbon using light reflectance as a surrogate measure of elemental carbon. We used Poisson regression and distributed lag models to estimate excess deaths for all causes and for cardiovascular and respiratory diseases adjusting for time-varying covariates. We computed the excess risks for interquartile range increases of each pollutant at lags of 0 through 3 days for both warm and cold seasons. The cardiovascular and respiratory mortality series exhibited different source and seasonal patterns in each city. The PM2.5 components and gaseous pollutants associated with mortality in Detroit were most associated with warm season secondary aerosols and traffic markers. In Seattle, the component species most closely associated with mortality included those for cold season traffic and other combustion sources, such as residual oil and wood burning. The effects of PM2.5 on daily mortality vary with source, season, and locale, consistent with the hypothesis that PM composition has an appreciable influence on the health effects attributable to PM.
Recent toxicological and epidemiological studies have shown associations between particulate matter (PM) and adverse health effects, but which PM components are most influential is less well known. In this study, we used time-series analyses to determine the associations between daily fine PM [PM ≤ 2.5 µm in aerodynamic diameter (PM2.5)] concentrations and daily mortality in two U.S. cities-Seattle, Washington, and Detroit, Michigan. We obtained daily PM2.5 filters for the years of 2002-2004 and analyzed trace elements using X-ray fluorescence and black carbon using light reflectance as a surrogate measure of elemental carbon. We used Poisson regression and distributed lag models to estimate excess deaths for all causes and for cardiovascular and respiratory diseases adjusting for time-varying covariates. We computed the excess risks for interquartile range increases of each pollutant at lags of 0 through 3 days for both warm and cold seasons. The cardiovascular and respiratory mortality series exhibited different source and seasonal patterns in each city. The PM2.5 components and gaseous pollutants associated with mortality in Detroit were most associated with warm season secondary aerosols and traffic markers. In Seattle, the component species most closely associated with mortality included those for cold season traffic and other combustion sources, such as residual oil and wood burning. The effects of PM2.5 on daily mortality vary with source, season, and locale, consistent with the hypothesis that PM composition has an appreciable influence on the health effects attributable to PM.
Audience Academic
Author THURSTON, George
LALL, Ramona
ITO, Kazuhiko
LIPPMANN, Morton
JIANG ZHOU
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Issue 4
Keywords Human
Chemical compound
Mortality
Time series
cardiovascular mortality
chemical components
distributed lag model
Respiratory system
Epidemiology
Pollutant
gaseous pollutants
Health and environment
Fine particle
Aerosols
respiratory mortality
Air pollution
Models
Circulatory system
Time analysis
PM
time-series analysis
Language English
License CC BY 4.0
Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, ?Reproduced with permission from Environmental Health Perspectives?); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright.
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The authors declare they have no actual or potential competing financial interests.
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Snippet Recent toxicological and epidemiological studies have shown associations between particulate matter (PM) and adverse health effects, but which PM components...
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SubjectTerms Air
Air Pollutants - analysis
Air Pollutants - toxicity
Air pollution
Air Pollution - statistics & numerical data
Biological and medical sciences
Carbon
Cardiovascular Diseases - mortality
Combustion
Environment. Living conditions
Environmental aspects
Environmental Exposure - analysis
Environmental Exposure - statistics & numerical data
Environmental Monitoring
Environmental pollutants toxicology
Epidemiological Monitoring
Health
Health aspects
Humans
Mathematical models
Medical sciences
Michigan - epidemiology
Mortality
Particle Size
Particles
Particulate Matter - analysis
Particulate Matter - toxicity
Public health. Hygiene
Public health. Hygiene-occupational medicine
Respiratory tract diseases
Respiratory Tract Diseases - mortality
Risk factors
Seasons
Toxicology
Traffic engineering
Traffic flow
United States
Washington - epidemiology
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Title Time-Series Analysis of Mortality Effects of Fine Particulate Matter Components in Detroit and Seattle
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