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The relationship between air quality and respiratory pathogens among children in Suzhou City
OBJECTIVE: We studied the short-term effects of air pollutant concentrations in Suzhou City on respiratory infections in children of different age groups. METHODS: We employed clinical data from children hospitalized with respiratory infections at the Children’s Hospital of Soochow University during...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6757402/ https://www.ncbi.nlm.nih.gov/pubmed/31547841 http://dx.doi.org/10.1186/s13052-019-0702-2 |
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author | Zhang, Dandan Li, Yuqin Chen, Qiu Jiang, Yanqun Chu, Chu Ding, Ying Yu, Yixue Fan, Yujie Shi, Jinjin Luo, Yali Zhou, Weifang |
author_facet | Zhang, Dandan Li, Yuqin Chen, Qiu Jiang, Yanqun Chu, Chu Ding, Ying Yu, Yixue Fan, Yujie Shi, Jinjin Luo, Yali Zhou, Weifang |
author_sort | Zhang, Dandan |
collection | PubMed |
description | OBJECTIVE: We studied the short-term effects of air pollutant concentrations in Suzhou City on respiratory infections in children of different age groups. METHODS: We employed clinical data from children hospitalized with respiratory infections at the Children’s Hospital of Soochow University during 2014–2016, and air quality for Suzhou City covering the same period.We investigated the relationships between the air pollutant concentrations and respiratory tract infections in children by causative pathogen using time series models with lagged effects. RESULTS: The results of single-pollutant models showed that PM2.5, PM10, NO(2), SO(2) and CO had statistically significant associations with respiratory tract infections in children under 3 years, with the largest effect sizes at a lag of 3 weeks. Notably, the multi-pollutant model found PM2.5 was significantly associated with viral respiratory in children under 7 months, and bacterial respiratory infections in other age groups, while PM10 concentrations were associated with viral infections in preschool children. CONCLUSION: PM2.5, PM10 and NO(2) are the main atmospheric pollutants in Suzhou. The associations between pollutant concentrations and viral and bacterial respiratory infections were stronger among children under 3 years than for older age group.s PM2.5 had the strongest influence on viral and Mycoplasma pneumoniae respiratory infections when multiple pollutants were tested together. |
format | Online Article Text |
id | pubmed-6757402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-67574022019-09-30 The relationship between air quality and respiratory pathogens among children in Suzhou City Zhang, Dandan Li, Yuqin Chen, Qiu Jiang, Yanqun Chu, Chu Ding, Ying Yu, Yixue Fan, Yujie Shi, Jinjin Luo, Yali Zhou, Weifang Ital J Pediatr Research OBJECTIVE: We studied the short-term effects of air pollutant concentrations in Suzhou City on respiratory infections in children of different age groups. METHODS: We employed clinical data from children hospitalized with respiratory infections at the Children’s Hospital of Soochow University during 2014–2016, and air quality for Suzhou City covering the same period.We investigated the relationships between the air pollutant concentrations and respiratory tract infections in children by causative pathogen using time series models with lagged effects. RESULTS: The results of single-pollutant models showed that PM2.5, PM10, NO(2), SO(2) and CO had statistically significant associations with respiratory tract infections in children under 3 years, with the largest effect sizes at a lag of 3 weeks. Notably, the multi-pollutant model found PM2.5 was significantly associated with viral respiratory in children under 7 months, and bacterial respiratory infections in other age groups, while PM10 concentrations were associated with viral infections in preschool children. CONCLUSION: PM2.5, PM10 and NO(2) are the main atmospheric pollutants in Suzhou. The associations between pollutant concentrations and viral and bacterial respiratory infections were stronger among children under 3 years than for older age group.s PM2.5 had the strongest influence on viral and Mycoplasma pneumoniae respiratory infections when multiple pollutants were tested together. BioMed Central 2019-09-23 /pmc/articles/PMC6757402/ /pubmed/31547841 http://dx.doi.org/10.1186/s13052-019-0702-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Zhang, Dandan Li, Yuqin Chen, Qiu Jiang, Yanqun Chu, Chu Ding, Ying Yu, Yixue Fan, Yujie Shi, Jinjin Luo, Yali Zhou, Weifang The relationship between air quality and respiratory pathogens among children in Suzhou City |
title | The relationship between air quality and respiratory pathogens among children in Suzhou City |
title_full | The relationship between air quality and respiratory pathogens among children in Suzhou City |
title_fullStr | The relationship between air quality and respiratory pathogens among children in Suzhou City |
title_full_unstemmed | The relationship between air quality and respiratory pathogens among children in Suzhou City |
title_short | The relationship between air quality and respiratory pathogens among children in Suzhou City |
title_sort | relationship between air quality and respiratory pathogens among children in suzhou city |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6757402/ https://www.ncbi.nlm.nih.gov/pubmed/31547841 http://dx.doi.org/10.1186/s13052-019-0702-2 |
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