BACKGROUND: A number of emergency department studies have corroborated findings from mortality and hospital admission studies regarding an association of ambient air pollution and respiratory outcomes. More refined assessment has been limited by study size and available air quality data. METHODS: Measurements of 5 pollutants (particulate matter [PM10], ozone, nitrogen dioxide [NO2], carbon monoxide [CO], and sulfur dioxide [SO2]) were available for the entire study period (1 January 1993 to 31 August 2000); detailed measurements of particulate matter were available for 25 months. We obtained data on 4 million emergency department visits from 31 hospitals in Atlanta. Visits for asthma, chronic obstructive pulmonary disease, upper respiratory infection, and pneumonia were assessed in relation to air pollutants using Poisson generalized estimating equations. RESULTS: In single-pollutant models examining 3-day moving averages of pollutants (lags 0, 1, and 2): standard deviation increases of ozone, NO2, CO, and PM10 were associated with 1-3% increases in URI visits; a 2 microg/m increase of PM2.5 organic carbon was associated with a 3% increase in pneumonia visits; and standard deviation increases of NO2 and CO were associated with 2-3% increases in chronic obstructive pulmonary disease visits. Positive associations persisted beyond 3 days for several of the outcomes, and over a week for asthma. CONCLUSIONS: The results of this study contribute to the evidence of an association of several correlated gaseous and particulate pollutants, including ozone, NO2, CO, PM, and organic carbon, with specific respiratory conditions.
BACKGROUND: A number of emergency department studies have corroborated findings from mortality and hospital admission studies regarding an association of ambient air pollution and respiratory outcomes. More refined assessment has been limited by study size and available air quality data. METHODS: Measurements of 5 pollutants (particulate matter [PM10], ozone, nitrogen dioxide [NO2], carbon monoxide [CO], and sulfur dioxide [SO2]) were available for the entire study period (1 January 1993 to 31 August 2000); detailed measurements of particulate matter were available for 25 months. We obtained data on 4 million emergency department visits from 31 hospitals in Atlanta. Visits for asthma, chronic obstructive pulmonary disease, upper respiratory infection, and pneumonia were assessed in relation to air pollutants using Poisson generalized estimating equations. RESULTS: In single-pollutant models examining 3-day moving averages of pollutants (lags 0, 1, and 2): standard deviation increases of ozone, NO2, CO, and PM10 were associated with 1-3% increases in URI visits; a 2 microg/m increase of PM2.5 organic carbon was associated with a 3% increase in pneumonia visits; and standard deviation increases of NO2 and CO were associated with 2-3% increases in chronic obstructive pulmonary disease visits. Positive associations persisted beyond 3 days for several of the outcomes, and over a week for asthma. CONCLUSIONS: The results of this study contribute to the evidence of an association of several correlated gaseous and particulate pollutants, including ozone, NO2, CO, PM, and organic carbon, with specific respiratory conditions.
Authors: John J Godleski; Annette C Rohr; Choong M Kang; Edgar A Diaz; Pablo A Ruiz; Petros Koutrakis Journal: Inhal Toxicol Date: 2011-06-03 Impact factor: 2.724
Authors: Matthew J Strickland; Lyndsey A Darrow; Mitchel Klein; W Dana Flanders; Jeremy A Sarnat; Lance A Waller; Stefanie E Sarnat; James A Mulholland; Paige E Tolbert Journal: Am J Respir Crit Care Med Date: 2010-04-08 Impact factor: 21.405
Authors: Susann Henschel; Richard Atkinson; Ariana Zeka; Alain Le Tertre; Antonis Analitis; Klea Katsouyanni; Olivier Chanel; Mathilde Pascal; Bertil Forsberg; Sylvia Medina; Patrick G Goodman Journal: Int J Public Health Date: 2012-05-17 Impact factor: 3.380
Authors: Dara R Adams; Gaurav S Ajmani; Vivian C Pun; Kristen E Wroblewski; David W Kern; L Philip Schumm; Martha K McClintock; Helen H Suh; Jayant M Pinto Journal: Int Forum Allergy Rhinol Date: 2016-09-13 Impact factor: 3.858