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Evaluation of the health risk using multi-pollutant air quality health index: case study in Tianjin, China

INTRODUCTION: Air pollution imposes a significant burden on public health. Compared with the popular air quality index (AQI), the air quality health index (AQHI) provides a more comprehensive approach to measuring mixtures of air pollutants and is suitable for overall assessments of the short-term h...

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Autores principales: Wang, Yu, Dan, Mo, Dou, Yan, Guo, Ling, Xu, Zhizhen, Ding, Ding, Shu, Mushui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289283/
https://www.ncbi.nlm.nih.gov/pubmed/37361164
http://dx.doi.org/10.3389/fpubh.2023.1177290
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author Wang, Yu
Dan, Mo
Dou, Yan
Guo, Ling
Xu, Zhizhen
Ding, Ding
Shu, Mushui
author_facet Wang, Yu
Dan, Mo
Dou, Yan
Guo, Ling
Xu, Zhizhen
Ding, Ding
Shu, Mushui
author_sort Wang, Yu
collection PubMed
description INTRODUCTION: Air pollution imposes a significant burden on public health. Compared with the popular air quality index (AQI), the air quality health index (AQHI) provides a more comprehensive approach to measuring mixtures of air pollutants and is suitable for overall assessments of the short-term health effects of such mixtures. METHODS: We established an AQHI and cumulative risk index (CRI)-AQHI for Tianjin using single–and multi-pollutant models, respectively, as well as environmental, meteorological, and daily mortality data of residents in Tianjin between 2018 and 2020. RESULTS AND DISCUSSION: Compared with the AQI, the AQHI and CRI-AQHI established herein correlated more closely with the exposure-response relationships of the total mortality effects on residents. For each increase in the interquartile range of the AQHI, CRI-AQHI and AQI, the total daily mortality rates increased by 2.06, 1.69 and 0.62%, respectively. The AQHI and CRI-AQHI predicted daily mortality rate of residents more effectively than the AQI, and the correlations of AQHI and CRI-AQHI with health were similar. Our AQHI of Tianjin was used to establish specific (S)-AQHIs for different disease groups. The results showed that all measured air pollutants had the greatest impact on the health of persons with chronic respiratory diseases, followed by lung cancer, and cardiovascular and cerebrovascular diseases. The AQHI of Tianjin established in this study was accurate and dependable for assessing short-term health risks of air pollution in Tianjin, and the established S-AQHI can be used to separately assess health risks among different disease groups.
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spelling pubmed-102892832023-06-24 Evaluation of the health risk using multi-pollutant air quality health index: case study in Tianjin, China Wang, Yu Dan, Mo Dou, Yan Guo, Ling Xu, Zhizhen Ding, Ding Shu, Mushui Front Public Health Public Health INTRODUCTION: Air pollution imposes a significant burden on public health. Compared with the popular air quality index (AQI), the air quality health index (AQHI) provides a more comprehensive approach to measuring mixtures of air pollutants and is suitable for overall assessments of the short-term health effects of such mixtures. METHODS: We established an AQHI and cumulative risk index (CRI)-AQHI for Tianjin using single–and multi-pollutant models, respectively, as well as environmental, meteorological, and daily mortality data of residents in Tianjin between 2018 and 2020. RESULTS AND DISCUSSION: Compared with the AQI, the AQHI and CRI-AQHI established herein correlated more closely with the exposure-response relationships of the total mortality effects on residents. For each increase in the interquartile range of the AQHI, CRI-AQHI and AQI, the total daily mortality rates increased by 2.06, 1.69 and 0.62%, respectively. The AQHI and CRI-AQHI predicted daily mortality rate of residents more effectively than the AQI, and the correlations of AQHI and CRI-AQHI with health were similar. Our AQHI of Tianjin was used to establish specific (S)-AQHIs for different disease groups. The results showed that all measured air pollutants had the greatest impact on the health of persons with chronic respiratory diseases, followed by lung cancer, and cardiovascular and cerebrovascular diseases. The AQHI of Tianjin established in this study was accurate and dependable for assessing short-term health risks of air pollution in Tianjin, and the established S-AQHI can be used to separately assess health risks among different disease groups. Frontiers Media S.A. 2023-06-07 /pmc/articles/PMC10289283/ /pubmed/37361164 http://dx.doi.org/10.3389/fpubh.2023.1177290 Text en Copyright © 2023 Wang, Dan, Dou, Guo, Xu, Ding and Shu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Wang, Yu
Dan, Mo
Dou, Yan
Guo, Ling
Xu, Zhizhen
Ding, Ding
Shu, Mushui
Evaluation of the health risk using multi-pollutant air quality health index: case study in Tianjin, China
title Evaluation of the health risk using multi-pollutant air quality health index: case study in Tianjin, China
title_full Evaluation of the health risk using multi-pollutant air quality health index: case study in Tianjin, China
title_fullStr Evaluation of the health risk using multi-pollutant air quality health index: case study in Tianjin, China
title_full_unstemmed Evaluation of the health risk using multi-pollutant air quality health index: case study in Tianjin, China
title_short Evaluation of the health risk using multi-pollutant air quality health index: case study in Tianjin, China
title_sort evaluation of the health risk using multi-pollutant air quality health index: case study in tianjin, china
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289283/
https://www.ncbi.nlm.nih.gov/pubmed/37361164
http://dx.doi.org/10.3389/fpubh.2023.1177290
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