Articles | Volume 12, issue 5
Atmos. Chem. Phys., 12, 2479–2490, 2012
https://doi.org/10.5194/acp-12-2479-2012

Special issue: Megacities: air quality and climate impacts from local to...

Atmos. Chem. Phys., 12, 2479–2490, 2012
https://doi.org/10.5194/acp-12-2479-2012

Research article 05 Mar 2012

Research article | 05 Mar 2012

Relationship between particulate matter and childhood asthma – basis of a future warning system for central Phoenix

R. Dimitrova1, N. Lurponglukana2, H. J. S. Fernando1, G. C. Runger2, P. Hyde3, B. C. Hedquist3, J. Anderson3, W. Bannister4, and W. Johnson4 R. Dimitrova et al.
  • 1Environmental Fluid Dynamics Laboratories, Civil Engineering & Geological Sciences, University of Notre Dame, Notre Dame, IN, USA
  • 2Center for Health Information and Research, Arizona State University, Tempe, AZ, USA
  • 3School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA
  • 4Industrial Engineering, Arizona State University, Tempe, AZ, USA

Abstract. Statistically significant correlations between increase of asthma attacks in children and elevated concentrations of particulate matter of diameter 10 microns and less (PM10) were determined for metropolitan Phoenix, Arizona. Interpolated concentrations from a five-site network provided spatial distribution of PM10 that was mapped onto census tracts with population health records. The case-crossover statistical method was applied to determine the relationship between PM10 concentration and asthma attacks. For children ages 5–17, a significant relationship was discovered between the two, while children ages 0–4 exhibited virtually no relationship. The risk of adverse health effects was expressed as a function of the change from the 25th to 75th percentiles of mean level PM10 (36 μg m−3). This increase in concentration was associated with a 12.6% (95% CI: 5.8%, 19.4%) increase in the log odds of asthma attacks among children ages 5–17. Neither gender nor other demographic variables were significant. The results are being used to develop an asthma early warning system for the study area.

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