Cargando…
The Combined Effects of Hourly Multi-Pollutant on the Risk of Ambulance Emergency Calls: A Seven-Year Time Series Study
Background: Ambulance emergency calls (AECs) are seen as a more suitable metric for syndromic surveillance due to their heightened sensitivity in reflecting the health impacts of air pollutants. Limited evidence has emphasized the combined effect of hourly air pollutants on AECs. This study aims to...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675017/ https://www.ncbi.nlm.nih.gov/pubmed/37999547 http://dx.doi.org/10.3390/toxics11110895 |
_version_ | 1785140964908597248 |
---|---|
author | Shi, Hanxu Zhou, Qiang Zhang, Hongjuan Sun, Shengzhi Zhao, Junfeng Wang, Yasha Huang, Jie Jin, Yinzi Zheng, Zhijie Wu, Rengyu Zhang, Zhenyu |
author_facet | Shi, Hanxu Zhou, Qiang Zhang, Hongjuan Sun, Shengzhi Zhao, Junfeng Wang, Yasha Huang, Jie Jin, Yinzi Zheng, Zhijie Wu, Rengyu Zhang, Zhenyu |
author_sort | Shi, Hanxu |
collection | PubMed |
description | Background: Ambulance emergency calls (AECs) are seen as a more suitable metric for syndromic surveillance due to their heightened sensitivity in reflecting the health impacts of air pollutants. Limited evidence has emphasized the combined effect of hourly air pollutants on AECs. This study aims to investigate the combined effects of multipollutants (i.e., PM(2.5), PM(10), Ozone, NO(2), and SO(2)) on all-cause and cause-specific AECs by using the quantile g-computation method. Methods: We used ambulance emergency dispatch data, air pollutant data, and meteorological data from between 1 January 2013 and 31 December 2019 in Shenzhen, China, to estimate the associations of hourly multipollutants with AECs. We followed a two-stage analytic protocol, including the distributed lag nonlinear model, to examine the predominant lag for each air pollutant, as well as the quantile g-computation model to determine the associations of air pollutant mixtures with all-cause and cause-specific AECs. Results: A total of 3,022,164 patients were identified during the study period in Shenzhen. We found that each interquartile range increment in the concentrations of PM(2.5), PM(10), Ozone, NO(2), and SO(2) in 0–8 h, 0–8 h, 0–48 h, 0–28 h, and 0–24 h was associated with the highest risk of AECs. Each interquartile range increase in the mixture of air pollutants was significantly associated with a 1.67% (95% CI, 0.12–3.12%) increase in the risk of all-cause AECs, a 1.81% (95% CI, 0.25–3.39%) increase in the risk of vascular AECs, a 1.77% (95% CI, 0.44–3.11%) increase in reproductive AECs, and a 2.12% (95% CI, 0.56–3.71%) increase in AECs due to injuries. Conclusions: We found combined effects of pollutant mixtures associated with an increased risk of AECs across various causes. These findings highlight the importance of targeted policies and interventions to reduce air pollution, particularly for PM, Ozone, and NO(2) emissions. |
format | Online Article Text |
id | pubmed-10675017 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106750172023-10-31 The Combined Effects of Hourly Multi-Pollutant on the Risk of Ambulance Emergency Calls: A Seven-Year Time Series Study Shi, Hanxu Zhou, Qiang Zhang, Hongjuan Sun, Shengzhi Zhao, Junfeng Wang, Yasha Huang, Jie Jin, Yinzi Zheng, Zhijie Wu, Rengyu Zhang, Zhenyu Toxics Article Background: Ambulance emergency calls (AECs) are seen as a more suitable metric for syndromic surveillance due to their heightened sensitivity in reflecting the health impacts of air pollutants. Limited evidence has emphasized the combined effect of hourly air pollutants on AECs. This study aims to investigate the combined effects of multipollutants (i.e., PM(2.5), PM(10), Ozone, NO(2), and SO(2)) on all-cause and cause-specific AECs by using the quantile g-computation method. Methods: We used ambulance emergency dispatch data, air pollutant data, and meteorological data from between 1 January 2013 and 31 December 2019 in Shenzhen, China, to estimate the associations of hourly multipollutants with AECs. We followed a two-stage analytic protocol, including the distributed lag nonlinear model, to examine the predominant lag for each air pollutant, as well as the quantile g-computation model to determine the associations of air pollutant mixtures with all-cause and cause-specific AECs. Results: A total of 3,022,164 patients were identified during the study period in Shenzhen. We found that each interquartile range increment in the concentrations of PM(2.5), PM(10), Ozone, NO(2), and SO(2) in 0–8 h, 0–8 h, 0–48 h, 0–28 h, and 0–24 h was associated with the highest risk of AECs. Each interquartile range increase in the mixture of air pollutants was significantly associated with a 1.67% (95% CI, 0.12–3.12%) increase in the risk of all-cause AECs, a 1.81% (95% CI, 0.25–3.39%) increase in the risk of vascular AECs, a 1.77% (95% CI, 0.44–3.11%) increase in reproductive AECs, and a 2.12% (95% CI, 0.56–3.71%) increase in AECs due to injuries. Conclusions: We found combined effects of pollutant mixtures associated with an increased risk of AECs across various causes. These findings highlight the importance of targeted policies and interventions to reduce air pollution, particularly for PM, Ozone, and NO(2) emissions. MDPI 2023-10-31 /pmc/articles/PMC10675017/ /pubmed/37999547 http://dx.doi.org/10.3390/toxics11110895 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Shi, Hanxu Zhou, Qiang Zhang, Hongjuan Sun, Shengzhi Zhao, Junfeng Wang, Yasha Huang, Jie Jin, Yinzi Zheng, Zhijie Wu, Rengyu Zhang, Zhenyu The Combined Effects of Hourly Multi-Pollutant on the Risk of Ambulance Emergency Calls: A Seven-Year Time Series Study |
title | The Combined Effects of Hourly Multi-Pollutant on the Risk of Ambulance Emergency Calls: A Seven-Year Time Series Study |
title_full | The Combined Effects of Hourly Multi-Pollutant on the Risk of Ambulance Emergency Calls: A Seven-Year Time Series Study |
title_fullStr | The Combined Effects of Hourly Multi-Pollutant on the Risk of Ambulance Emergency Calls: A Seven-Year Time Series Study |
title_full_unstemmed | The Combined Effects of Hourly Multi-Pollutant on the Risk of Ambulance Emergency Calls: A Seven-Year Time Series Study |
title_short | The Combined Effects of Hourly Multi-Pollutant on the Risk of Ambulance Emergency Calls: A Seven-Year Time Series Study |
title_sort | combined effects of hourly multi-pollutant on the risk of ambulance emergency calls: a seven-year time series study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675017/ https://www.ncbi.nlm.nih.gov/pubmed/37999547 http://dx.doi.org/10.3390/toxics11110895 |
work_keys_str_mv | AT shihanxu thecombinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT zhouqiang thecombinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT zhanghongjuan thecombinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT sunshengzhi thecombinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT zhaojunfeng thecombinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT wangyasha thecombinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT huangjie thecombinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT jinyinzi thecombinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT zhengzhijie thecombinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT wurengyu thecombinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT zhangzhenyu thecombinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT shihanxu combinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT zhouqiang combinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT zhanghongjuan combinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT sunshengzhi combinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT zhaojunfeng combinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT wangyasha combinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT huangjie combinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT jinyinzi combinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT zhengzhijie combinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT wurengyu combinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy AT zhangzhenyu combinedeffectsofhourlymultipollutantontheriskofambulanceemergencycallsasevenyeartimeseriesstudy |