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A time-series analysis of acidic particulate matter and daily mortality and morbidity in the Buffalo, New York, region.
A component of particulate matter (PM) air pollution that may provide one biologically plausible pathway for the observed PM air pollution-health effect associations is aerosol acidity (H(+)). An increasing number of observational studies have demonstrated associations between H(+) and increased adv...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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2000
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1637878/ https://www.ncbi.nlm.nih.gov/pubmed/10656852 |
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author | Gwynn, R C Burnett, R T Thurston, G D |
author_facet | Gwynn, R C Burnett, R T Thurston, G D |
author_sort | Gwynn, R C |
collection | PubMed |
description | A component of particulate matter (PM) air pollution that may provide one biologically plausible pathway for the observed PM air pollution-health effect associations is aerosol acidity (H(+)). An increasing number of observational studies have demonstrated associations between H(+) and increased adverse health effects in the United States and abroad. Although studies have shown significant H(+) associations with increased morbidity in the United States, similar associations have yet to be shown with daily mortality. We considered a 2.5-year record of daily H(+) and sulfate measurements (May 1988-October 1990) collected in the Buffalo, New York, region in a time-series analysis of respiratory, circulatory, and total daily mortality and hospital admissions. Other copollutants considered included particulate matter [less than/equal to] 10 microm in aerodynamic diameter, coefficient of haze, ozone, carbon monoxide, sulfur dioxide, and nitrogen dioxide. Various modeling techniques were applied to control for confounding of effect estimates due to seasonality, weather, and day-of-week effects. We found multiple significant pollutant-health effect associations--most strongly between SO(4)(2-) and respiratory hospital admissions (as indicated by its t-statistic). Additionally, H(+) and SO(4)(2-) demonstrated the most coherent associations with both respiratory hospital admissions [H(+): relative risk (RR) = 1. 31; 95% confidence interval (CI), 1.14-1.51; and SO(4)(2-): RR = 1. 18, CI, 1.09-1.28] and respiratory mortality (H(+): RR = 1.55, CI, 1. 09-2.20; and SO(4)(2-): RR = 1.24, CI, 1.01-1.52). Thus, acidic sulfate aerosols represent a component of PM air pollution that may contribute to the previously noted adverse effects of PM mass on human health, and the associations demonstrated in this study support the need for further investigations into the potential health effects of acidic aerosols. |
format | Text |
id | pubmed-1637878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2000 |
record_format | MEDLINE/PubMed |
spelling | pubmed-16378782006-11-17 A time-series analysis of acidic particulate matter and daily mortality and morbidity in the Buffalo, New York, region. Gwynn, R C Burnett, R T Thurston, G D Environ Health Perspect Research Article A component of particulate matter (PM) air pollution that may provide one biologically plausible pathway for the observed PM air pollution-health effect associations is aerosol acidity (H(+)). An increasing number of observational studies have demonstrated associations between H(+) and increased adverse health effects in the United States and abroad. Although studies have shown significant H(+) associations with increased morbidity in the United States, similar associations have yet to be shown with daily mortality. We considered a 2.5-year record of daily H(+) and sulfate measurements (May 1988-October 1990) collected in the Buffalo, New York, region in a time-series analysis of respiratory, circulatory, and total daily mortality and hospital admissions. Other copollutants considered included particulate matter [less than/equal to] 10 microm in aerodynamic diameter, coefficient of haze, ozone, carbon monoxide, sulfur dioxide, and nitrogen dioxide. Various modeling techniques were applied to control for confounding of effect estimates due to seasonality, weather, and day-of-week effects. We found multiple significant pollutant-health effect associations--most strongly between SO(4)(2-) and respiratory hospital admissions (as indicated by its t-statistic). Additionally, H(+) and SO(4)(2-) demonstrated the most coherent associations with both respiratory hospital admissions [H(+): relative risk (RR) = 1. 31; 95% confidence interval (CI), 1.14-1.51; and SO(4)(2-): RR = 1. 18, CI, 1.09-1.28] and respiratory mortality (H(+): RR = 1.55, CI, 1. 09-2.20; and SO(4)(2-): RR = 1.24, CI, 1.01-1.52). Thus, acidic sulfate aerosols represent a component of PM air pollution that may contribute to the previously noted adverse effects of PM mass on human health, and the associations demonstrated in this study support the need for further investigations into the potential health effects of acidic aerosols. 2000-02 /pmc/articles/PMC1637878/ /pubmed/10656852 Text en |
spellingShingle | Research Article Gwynn, R C Burnett, R T Thurston, G D A time-series analysis of acidic particulate matter and daily mortality and morbidity in the Buffalo, New York, region. |
title | A time-series analysis of acidic particulate matter and daily mortality and morbidity in the Buffalo, New York, region. |
title_full | A time-series analysis of acidic particulate matter and daily mortality and morbidity in the Buffalo, New York, region. |
title_fullStr | A time-series analysis of acidic particulate matter and daily mortality and morbidity in the Buffalo, New York, region. |
title_full_unstemmed | A time-series analysis of acidic particulate matter and daily mortality and morbidity in the Buffalo, New York, region. |
title_short | A time-series analysis of acidic particulate matter and daily mortality and morbidity in the Buffalo, New York, region. |
title_sort | time-series analysis of acidic particulate matter and daily mortality and morbidity in the buffalo, new york, region. |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1637878/ https://www.ncbi.nlm.nih.gov/pubmed/10656852 |
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