TY - JOUR
T1 - The construction and validity analysis of AQHI based on mortality risk
T2 - A case study in Guangzhou, China
AU - Li, Xing
AU - Xiao, Jianpeng
AU - Lin, Hualiang
AU - Liu, Tao
AU - Qian, Zhengmin
AU - Zeng, Weilin
AU - Guo, Lingchuan
AU - Ma, Wenjun
N1 - Funding Information:
This study was supported by Guangdong Provincial Science and Technology Project Funding [grant number 2016A020223008 ], National Natural Science Foundation of China [grant number 81502819 ], Natural Science Foundation of Guangdong Province [grant number 2015A030310220 ] and National Public Health Welfare Foundation [grant number 201402022 ].
Publisher Copyright:
© 2016 Elsevier Ltd
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The current air quality indices have been criticized for not capturing combined health effects of multiple air pollutants. We proposed an Air Quality Health Index (AQHI) based on the air pollution-mortality associations for communicating health risks of air pollution. Time-series studies were conducted to estimate the associations between air pollutants including sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), suspended particulate matter smaller than 2.5 μm in aerodynamic diameter (PM2.5) and mortality in Guangzhou from 2012 to 2015. The sum of excess mortality risk was calculated to construct the AQHI, which was then adjusted to an arbitrary scale. We then assessed the validity of AQHI. An interquartile increase (IQR) of AQHI was associated with 3.61% [95% confidence interval (95% CI), 2.85%–4.37%], 3.73% (95%CI, 2.18%–5.27%) and 4.19% (95%CI, 2.87%–5.52%) increase of mortality, respiratory and cardiovascular hospital admissions, respectively. Compared with the currently used Air Quality Index (AQI), AQHI had higher effects on mortality and morbidity. Our study suggests that AQHI might comprehensively capture the combined effects of air pollution, which make it be a more valid communication tool of air pollution-related health risk.
AB - The current air quality indices have been criticized for not capturing combined health effects of multiple air pollutants. We proposed an Air Quality Health Index (AQHI) based on the air pollution-mortality associations for communicating health risks of air pollution. Time-series studies were conducted to estimate the associations between air pollutants including sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), suspended particulate matter smaller than 2.5 μm in aerodynamic diameter (PM2.5) and mortality in Guangzhou from 2012 to 2015. The sum of excess mortality risk was calculated to construct the AQHI, which was then adjusted to an arbitrary scale. We then assessed the validity of AQHI. An interquartile increase (IQR) of AQHI was associated with 3.61% [95% confidence interval (95% CI), 2.85%–4.37%], 3.73% (95%CI, 2.18%–5.27%) and 4.19% (95%CI, 2.87%–5.52%) increase of mortality, respiratory and cardiovascular hospital admissions, respectively. Compared with the currently used Air Quality Index (AQI), AQHI had higher effects on mortality and morbidity. Our study suggests that AQHI might comprehensively capture the combined effects of air pollution, which make it be a more valid communication tool of air pollution-related health risk.
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U2 - 10.1016/j.envpol.2016.09.091
DO - 10.1016/j.envpol.2016.09.091
M3 - Article
C2 - 27707554
AN - SCOPUS:84994443216
SN - 0269-7491
VL - 220
SP - 487
EP - 494
JO - Environmental Pollution
JF - Environmental Pollution
ER -
