4.8 Article

Communicating air pollution-related health risks to the public: An application of the Air Quality Health Index in Shanghai, China

Journal

ENVIRONMENT INTERNATIONAL
Volume 51, Issue -, Pages 168-173

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.envint.2012.11.008

Keywords

Air Quality Health Index; Air pollution index; Risk communication; Time-series

Funding

  1. National Basic Research Program (973 program) of China [2011CB503802]
  2. Gong-Yi Program of China Ministry of Environmental Protection [201209008]
  3. National Natural Science Foundation of China [30800892]
  4. Shanghai Municipal Committee of Science and Technology [12dz1202602]
  5. Shanghai Health Bureau [GWDTR201212]
  6. Program for New Century Excellent Talents in University [NCET-09-0314]

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The Air Quality Health Index (AQHI) was originally developed in Canada. However, little is known about its validity in communicating morbidity risks. We aimed to establish the AQHI in Shanghai, China, and to compare the associations of AQHI and existing Air Pollution Index (API) with daily mortality and morbidity. We constructed the AQHI as the sum of excess total mortality associated with individual air pollutants, and then adjusted it to an arbitrary scale (0-10), according to a time-series analysis of air pollution and mortality in Shanghai from 2001 to 2008. We examined the associations of AQHI with daily mortality and morbidity, and compared these associations with API from 2005 to 2008. The coefficients of short-term associations of total mortality with particulate matter with an aerodynamic diameter less than 10 mu m (PM10), PM2.5 and nitrogen dioxide (NO2) were used in the establishment of AQHI. During 2005-2008, the AQHI showed linear non-threshold positive associations with daily mortality and morbidity. A unit increase of the PM10-AQHI was associated with a 0.90% [95% (confidence interval, Cl), 0.43 to 1.37], 1.04% (95%CI, 0.04 to 2.04), 1.62% (95%CI, 039 to 2.85) and 0.51% (95%CI, 0.09 to 0.93) increase of current-day total mortality, hospital admissions, outpatient visits and emergency room visits, respectively. The PM2.5-AQHI showed quite similar effect estimates with the PM10-AQHI. In contrast, the associations for API were much weaker and generally statistically insignificant. The AQHI, compared with the existing API, provided a more effective tool to communicate the air pollution-related health risks to the public. (C) 2012 Elsevier Ltd. All rights reserved.

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