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The Influence of Air Pollutants and Meteorological Conditions on the Hospitalization for Respiratory Diseases in Shenzhen City, China
Air pollutants have significant direct and indirect adverse effects on public health. To explore the relationship between air pollutants and meteorological conditions on the hospitalization for respiratory diseases, we collected a whole year of daily major air pollutants’ concentrations from Shenzhe...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151817/ https://www.ncbi.nlm.nih.gov/pubmed/34065982 http://dx.doi.org/10.3390/ijerph18105120 |
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author | Liang, Shi Sun, Chong Liu, Chanfang Jiang, Lili Xie, Yingjia Yan, Shaohong Jiang, Zhenyu Qi, Qingwen Zhang, An |
author_facet | Liang, Shi Sun, Chong Liu, Chanfang Jiang, Lili Xie, Yingjia Yan, Shaohong Jiang, Zhenyu Qi, Qingwen Zhang, An |
author_sort | Liang, Shi |
collection | PubMed |
description | Air pollutants have significant direct and indirect adverse effects on public health. To explore the relationship between air pollutants and meteorological conditions on the hospitalization for respiratory diseases, we collected a whole year of daily major air pollutants’ concentrations from Shenzhen city in 2013, including Particulate Matter (PM(10), PM(2.5)), Nitrogen dioxide (NO(2)), Ozone (O(3)), Sulphur dioxide (SO(2)), and Carbon monoxide (CO). Meanwhile, we also gained meteorological data. This study collected 109,927 patients cases with diseases of the respiratory system from 98 hospitals. We investigated the influence of meteorological factors on air pollution by Spearman correlation analysis. Then, we tested the short-term correlation between significant air pollutants and respiratory diseases’ hospitalization by Distributed Lag Non-linear Model (DLNM). There was a significant negative correlation between the north wind and NO(2) and a significant negative correlation between the south wind and six pollutants. Except for CO, other air pollutants were significantly correlated with the number of hospitalized patients during the lag period. Most of the pollutants reached maximum Relative Risk (RR) with a lag of five days. When the time lag was five days, the annual average of PM(10), PM(2.5), SO(2), NO(2), and O(3) increased by 10%, and the risk of hospitalization for the respiratory system increased by 0.29%, 0.23%, 0.22%, 0.25%, and 0.22%, respectively. All the pollutants except CO impact the respiratory system’s hospitalization in a short period, and PM10 has the most significant impact. The results are helpful for pollution control from a public health perspective. |
format | Online Article Text |
id | pubmed-8151817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81518172021-05-27 The Influence of Air Pollutants and Meteorological Conditions on the Hospitalization for Respiratory Diseases in Shenzhen City, China Liang, Shi Sun, Chong Liu, Chanfang Jiang, Lili Xie, Yingjia Yan, Shaohong Jiang, Zhenyu Qi, Qingwen Zhang, An Int J Environ Res Public Health Article Air pollutants have significant direct and indirect adverse effects on public health. To explore the relationship between air pollutants and meteorological conditions on the hospitalization for respiratory diseases, we collected a whole year of daily major air pollutants’ concentrations from Shenzhen city in 2013, including Particulate Matter (PM(10), PM(2.5)), Nitrogen dioxide (NO(2)), Ozone (O(3)), Sulphur dioxide (SO(2)), and Carbon monoxide (CO). Meanwhile, we also gained meteorological data. This study collected 109,927 patients cases with diseases of the respiratory system from 98 hospitals. We investigated the influence of meteorological factors on air pollution by Spearman correlation analysis. Then, we tested the short-term correlation between significant air pollutants and respiratory diseases’ hospitalization by Distributed Lag Non-linear Model (DLNM). There was a significant negative correlation between the north wind and NO(2) and a significant negative correlation between the south wind and six pollutants. Except for CO, other air pollutants were significantly correlated with the number of hospitalized patients during the lag period. Most of the pollutants reached maximum Relative Risk (RR) with a lag of five days. When the time lag was five days, the annual average of PM(10), PM(2.5), SO(2), NO(2), and O(3) increased by 10%, and the risk of hospitalization for the respiratory system increased by 0.29%, 0.23%, 0.22%, 0.25%, and 0.22%, respectively. All the pollutants except CO impact the respiratory system’s hospitalization in a short period, and PM10 has the most significant impact. The results are helpful for pollution control from a public health perspective. MDPI 2021-05-12 /pmc/articles/PMC8151817/ /pubmed/34065982 http://dx.doi.org/10.3390/ijerph18105120 Text en © 2021 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 Liang, Shi Sun, Chong Liu, Chanfang Jiang, Lili Xie, Yingjia Yan, Shaohong Jiang, Zhenyu Qi, Qingwen Zhang, An The Influence of Air Pollutants and Meteorological Conditions on the Hospitalization for Respiratory Diseases in Shenzhen City, China |
title | The Influence of Air Pollutants and Meteorological Conditions on the Hospitalization for Respiratory Diseases in Shenzhen City, China |
title_full | The Influence of Air Pollutants and Meteorological Conditions on the Hospitalization for Respiratory Diseases in Shenzhen City, China |
title_fullStr | The Influence of Air Pollutants and Meteorological Conditions on the Hospitalization for Respiratory Diseases in Shenzhen City, China |
title_full_unstemmed | The Influence of Air Pollutants and Meteorological Conditions on the Hospitalization for Respiratory Diseases in Shenzhen City, China |
title_short | The Influence of Air Pollutants and Meteorological Conditions on the Hospitalization for Respiratory Diseases in Shenzhen City, China |
title_sort | influence of air pollutants and meteorological conditions on the hospitalization for respiratory diseases in shenzhen city, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151817/ https://www.ncbi.nlm.nih.gov/pubmed/34065982 http://dx.doi.org/10.3390/ijerph18105120 |
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