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Three Exposure Metrics for Fine Particulate Matter Associated With Outpatient Visits for Acute Lower Respiratory Infection Among Children in Guangzhou, China
Ambient fine particulate matter (PM(2.5)) is associated with an elevated risk of acute lower respiratory infections (ALRI). However, this association has not been examined using alternative exposure metrics. We collected outpatient data of patients with ALRI aged <14 years from the administrative...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218103/ https://www.ncbi.nlm.nih.gov/pubmed/35757648 http://dx.doi.org/10.3389/fpubh.2022.876496 |
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author | Xiao, Danxia Guo, Wenchun Xu, Debo Chen, Jiamin Liang, Zhenyu Zhang, Xiao |
author_facet | Xiao, Danxia Guo, Wenchun Xu, Debo Chen, Jiamin Liang, Zhenyu Zhang, Xiao |
author_sort | Xiao, Danxia |
collection | PubMed |
description | Ambient fine particulate matter (PM(2.5)) is associated with an elevated risk of acute lower respiratory infections (ALRI). However, this association has not been examined using alternative exposure metrics. We collected outpatient data of patients with ALRI aged <14 years from the administrative database of a large tertiary hospital in Guangzhou, China, from 2013 to 2019. Ambient PM(2.5) was measured using three metrics: (a) daily mean, (b) daily excessive concentration hours (DECH), and (c) hourly peak. Generalized additive models were fitted to estimate the excess risk (ER) associated with PM(2.5). A total of 105,639 ALRI (35,310 pneumonia and 68,218 bronchiolitis) outpatient visits were identified during the study period. An interquartile range increment in PM(2.5) DECH was consistently associated with the highest ER of ALRI-related outpatient visits: 12.30% (95% confidence interval [CI]: 9.49–15.18%), compared with 11.20% (95% CI: 8.34–14.13%) for daily mean and 9.73% (95% CI: 6.97–12.55%) for hourly peak. The associations between the three metrics of PM(2.5) and ALRI-related outpatient visits were stronger in the cold season than in the warm season. Future studies should consider PM(2.5) DECH as an alternative method of exposure measurement, in addition to daily mean and hourly peak concentrations of PM(2.5). |
format | Online Article Text |
id | pubmed-9218103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92181032022-06-24 Three Exposure Metrics for Fine Particulate Matter Associated With Outpatient Visits for Acute Lower Respiratory Infection Among Children in Guangzhou, China Xiao, Danxia Guo, Wenchun Xu, Debo Chen, Jiamin Liang, Zhenyu Zhang, Xiao Front Public Health Public Health Ambient fine particulate matter (PM(2.5)) is associated with an elevated risk of acute lower respiratory infections (ALRI). However, this association has not been examined using alternative exposure metrics. We collected outpatient data of patients with ALRI aged <14 years from the administrative database of a large tertiary hospital in Guangzhou, China, from 2013 to 2019. Ambient PM(2.5) was measured using three metrics: (a) daily mean, (b) daily excessive concentration hours (DECH), and (c) hourly peak. Generalized additive models were fitted to estimate the excess risk (ER) associated with PM(2.5). A total of 105,639 ALRI (35,310 pneumonia and 68,218 bronchiolitis) outpatient visits were identified during the study period. An interquartile range increment in PM(2.5) DECH was consistently associated with the highest ER of ALRI-related outpatient visits: 12.30% (95% confidence interval [CI]: 9.49–15.18%), compared with 11.20% (95% CI: 8.34–14.13%) for daily mean and 9.73% (95% CI: 6.97–12.55%) for hourly peak. The associations between the three metrics of PM(2.5) and ALRI-related outpatient visits were stronger in the cold season than in the warm season. Future studies should consider PM(2.5) DECH as an alternative method of exposure measurement, in addition to daily mean and hourly peak concentrations of PM(2.5). Frontiers Media S.A. 2022-06-09 /pmc/articles/PMC9218103/ /pubmed/35757648 http://dx.doi.org/10.3389/fpubh.2022.876496 Text en Copyright © 2022 Xiao, Guo, Xu, Chen, Liang and Zhang. 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 Xiao, Danxia Guo, Wenchun Xu, Debo Chen, Jiamin Liang, Zhenyu Zhang, Xiao Three Exposure Metrics for Fine Particulate Matter Associated With Outpatient Visits for Acute Lower Respiratory Infection Among Children in Guangzhou, China |
title | Three Exposure Metrics for Fine Particulate Matter Associated With Outpatient Visits for Acute Lower Respiratory Infection Among Children in Guangzhou, China |
title_full | Three Exposure Metrics for Fine Particulate Matter Associated With Outpatient Visits for Acute Lower Respiratory Infection Among Children in Guangzhou, China |
title_fullStr | Three Exposure Metrics for Fine Particulate Matter Associated With Outpatient Visits for Acute Lower Respiratory Infection Among Children in Guangzhou, China |
title_full_unstemmed | Three Exposure Metrics for Fine Particulate Matter Associated With Outpatient Visits for Acute Lower Respiratory Infection Among Children in Guangzhou, China |
title_short | Three Exposure Metrics for Fine Particulate Matter Associated With Outpatient Visits for Acute Lower Respiratory Infection Among Children in Guangzhou, China |
title_sort | three exposure metrics for fine particulate matter associated with outpatient visits for acute lower respiratory infection among children in guangzhou, china |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218103/ https://www.ncbi.nlm.nih.gov/pubmed/35757648 http://dx.doi.org/10.3389/fpubh.2022.876496 |
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