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 in | Environmental health perspectives Vol. 119; no. 4; pp. 461 - 466 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Research Triangle Park, NC
US Department of Health and Human Services
01.04.2011
National Institute of Environmental Health Sciences |
Subjects | |
Online Access | Get full text |
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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. |
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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 |
Author_xml | – sequence: 1 surname: JIANG ZHOU fullname: JIANG ZHOU organization: New York University School of Medicine, Tuxedo, New York, United States – sequence: 2 givenname: Kazuhiko surname: ITO fullname: ITO, Kazuhiko organization: New York University School of Medicine, Tuxedo, New York, United States – sequence: 3 givenname: Ramona surname: LALL fullname: LALL, Ramona organization: New York University School of Medicine, Tuxedo, New York, United States – sequence: 4 givenname: Morton surname: LIPPMANN fullname: LIPPMANN, Morton organization: New York University School of Medicine, Tuxedo, New York, United States – sequence: 5 givenname: George surname: THURSTON fullname: THURSTON, George organization: New York University School of Medicine, Tuxedo, New York, United States |
BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24020601$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/21193387$$D View this record in MEDLINE/PubMed |
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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 |
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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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