PMID- 32199385
OWN - NLM
STAT- MEDLINE
DCOM- 20200625
LR  - 20200625
IS  - 1879-1026 (Electronic)
IS  - 0048-9697 (Linking)
VI  - 722
DP  - 2020 Jun 20
TI  - Improved risk communications with a Bayesian multipollutant Air Quality Health 
      Index.
PG  - 137892
LID - S0048-9697(20)31405-4 [pii]
LID - 10.1016/j.scitotenv.2020.137892 [doi]
AB  - Establishing an optimal indicator to communicate health risks of multiple air 
      pollutants to public is much important. The Air Quality Health Index (AQHI) has 
      been developed in many countries as a communication tool of multiple air 
      pollutants related health risks. However, the current AQHI is based on the sum of 
      the excess health risks which are typically derived from the single-pollutant 
      statistical models. Such a strategy may overestimate the joint effect of multiple 
      pollutants. We proposed an improved strategy to construct the AQHI based on a 
      Bayesian multipollutant weighted model. Using this strategy, two improved indices 
      - Bayesian multipollutant AQHI (BMP-AQHI) and Bayesian multipollutant AQHI with 
      seasonal specificity (SBMP-AQHI) were calculated to present the multiple 
      pollutants related health risks to the cardiovascular system based on data 
      collected in Chengdu, China during 2013 to 2018. The two improved indices were 
      compared to current Air Quality Index (AQI) and AQHI to evaluate the 
      effectiveness of the improved indices in characterizing multipollutant health 
      risks. The AQI risk classification suggested much smaller health risks than 
      AQHIs. Among three AQHI types, the BMP-AQHI and SBMP-AQHI suggested slightly 
      lower health risks to the cardiovascular system than the current AQHI. In the 
      evaluation analysis, the SBMP-AQHI had the strongest association with the 
      mortality of cardiovascular disease (CVD) (2.66%; 95%CI, 1.57%, 3.76%). In the 
      subgroup analysis, an interquartile increase (IQR) of the SBMP-AQHI was 
      associated with 3.21% (95%CI, 2.06%, 4.38%), 1.34% (95%CI, -0.13%, 2.82%), and 
      4.20% (95%CI, 2.59%, 5.84%) increases for CVD mortality in the elderly, male, and 
      female subgroups, respectively. The study shows that the improved AQHIs can 
      communicate the health information of multiple air pollutants more efficiently. 
      The study also indicates the necessity to consider seasonal specificity in the 
      construction of the AQHI.
CI  - Copyright (c) 2020 Elsevier B.V. All rights reserved.
FAU - Xu, Huan
AU  - Xu H
AD  - Department of Epidemiology and Biostatistics, West China School of Public Health 
      and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
FAU - Zeng, Wei
AU  - Zeng W
AD  - Chengdu Center for Diseases Control and Prevention, Chengdu 610041, China.
FAU - Guo, Bing
AU  - Guo B
AD  - Department of Epidemiology and Biostatistics, West China School of Public Health 
      and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
FAU - Hopke, Philip K
AU  - Hopke PK
AD  - Department of Public Health Sciences, School of Medicine and Dentistry, 
      University of Rochester, Rochester, NY 14642, USA; Center for Air Resources 
      Engineering and Science, Clarkson University, Potsdam, NY 13699, USA.
FAU - Qiao, Xue
AU  - Qiao X
AD  - Institute of New Energy and Low-Carbon Technology, Sichuan University, Chengdu 
      610065, China.
FAU - Choi, Hyunok
AU  - Choi H
AD  - Department of Environmental Health Sciences, School of Public Health, University 
      at Albany, 1 University Place, Rensselaer, NY 12144, USA.
FAU - Luo, Bin
AU  - Luo B
AD  - Sichuan Academy of Environmental policy and planning, Chengdu 610041, Sichuan 
      Province, China.
FAU - Zhang, Wei
AU  - Zhang W
AD  - Sichuan Environmental Monitoring Center, Chengdu 610041, Sichuan Province, China.
FAU - Zhao, Xing
AU  - Zhao X
AD  - Department of Epidemiology and Biostatistics, West China School of Public Health 
      and West China Fourth Hospital, Sichuan University, Chengdu 610041, China. 
      Electronic address: zhaoxing731@foxmail.com.
LA  - eng
PT  - Journal Article
DEP - 20200313
PL  - Netherlands
TA  - Sci Total Environ
JT  - The Science of the total environment
JID - 0330500
RN  - 0 (Air Pollutants)
RN  - 0 (Particulate Matter)
SB  - IM
MH  - Air Pollutants
MH  - *Air Pollution
MH  - Bayes Theorem
MH  - China
MH  - Communication
MH  - Environmental Exposure
MH  - Female
MH  - Humans
MH  - Male
MH  - Particulate Matter
OTO - NOTNLM
OT  - Air Quality Health Index
OT  - Air Quality Index
OT  - Air pollution
OT  - Evaluation
OT  - Health risks
COIS- Declaration of competing interest There is no actual or potential conflict of 
      interest among authors.
EDAT- 2020/03/22 06:00
MHDA- 2020/06/26 06:00
CRDT- 2020/03/22 06:00
PHST- 2019/10/31 00:00 [received]
PHST- 2020/03/08 00:00 [revised]
PHST- 2020/03/11 00:00 [accepted]
PHST- 2020/03/22 06:00 [pubmed]
PHST- 2020/06/26 06:00 [medline]
PHST- 2020/03/22 06:00 [entrez]
AID - S0048-9697(20)31405-4 [pii]
AID - 10.1016/j.scitotenv.2020.137892 [doi]
PST - ppublish
SO  - Sci Total Environ. 2020 Jun 20;722:137892. doi: 10.1016/j.scitotenv.2020.137892. 
      Epub 2020 Mar 13.