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Ambient air pollutants and hospital visits for pneumonia: a case-crossover study in Qingdao, China

BACKGROUND: Pneumonia is one of the principal reasons for incidence and death in the world. The former research mainly concentrated on specific sources of patients. Besides, due to the heterogeneity among regions, there are inconsistencies in the outcome of these surveys. To explore the relationship...

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Autores principales: Zhang, Jianzhong, Ren, Dunqiang, Cao, Xue, Wang, Tao, Geng, Xue, Li, Xin, Tang, Jinglong, Leng, Shuguang, Wang, Hongmei, Zheng, Yuxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791776/
https://www.ncbi.nlm.nih.gov/pubmed/33413265
http://dx.doi.org/10.1186/s12889-020-10065-0
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author Zhang, Jianzhong
Ren, Dunqiang
Cao, Xue
Wang, Tao
Geng, Xue
Li, Xin
Tang, Jinglong
Leng, Shuguang
Wang, Hongmei
Zheng, Yuxin
author_facet Zhang, Jianzhong
Ren, Dunqiang
Cao, Xue
Wang, Tao
Geng, Xue
Li, Xin
Tang, Jinglong
Leng, Shuguang
Wang, Hongmei
Zheng, Yuxin
author_sort Zhang, Jianzhong
collection PubMed
description BACKGROUND: Pneumonia is one of the principal reasons for incidence and death in the world. The former research mainly concentrated on specific sources of patients. Besides, due to the heterogeneity among regions, there are inconsistencies in the outcome of these surveys. To explore the relationship between atmospheric pollution and hospital visits for pneumonia under the climate and pollution conditions in Qingdao, we carried out this study. METHODS: The medical records of pneumonia patients were gathered from the affiliated hospital of Qingdao University during Jan 1st, 2014, and Dec 31st,2018. Daily concentrations of PM(2.5), PM(10), SO(2), NO(2), as well as CO, were collected from the national air quality monitoring stations in Qingdao. Case-crossover study design and conditional logistic regression model were used to estimate the associations. Daily temperature, relative humidity, and atmospheric pressure were adjusted as the covariates in all models. A principal component analysis was used to solve the multicollinearity between atmospheric pollutants and investigate the relationship between various air pollutants and pneumonia occurs. RESULTS: In the single pollutant model, with interquartile range increment of the density of PM(2.5), PM(10), NO(2) and SO(2) at the lag2 days, the odds ratio of hospital visits for pneumonia patients increased by 6.4% (95%CI, 2.3–10.7%), 7.7% (95%CI, 3.2–12.4%), 6.7% (95%CI, 1.0–12.7%), and 7.2% (95%CI, 1.1–13.5%). Stratified analysis showed that pollutants were more significant in the cold period. Besides, the impact of atmospheric particulates on different ages mainly occurs in the young child (0 to 3-year-old). The odds ratio was 1.042 (95%CI, 1.012–1.072) when the principal components of atmospheric pollutants were included in the conditional logistic model. CONCLUSIONS: Our study found a significant relationship between short-term uncovering to PM(2.5), PM(10), NO(2), SO(2), and hospital visits for pneumonia in Qingdao. The effect of atmospheric pollutants mainly arose in a cold period. The particulate matter might be the principal reason in inducing hospital visits for pneumonia.
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spelling pubmed-77917762021-01-11 Ambient air pollutants and hospital visits for pneumonia: a case-crossover study in Qingdao, China Zhang, Jianzhong Ren, Dunqiang Cao, Xue Wang, Tao Geng, Xue Li, Xin Tang, Jinglong Leng, Shuguang Wang, Hongmei Zheng, Yuxin BMC Public Health Research Article BACKGROUND: Pneumonia is one of the principal reasons for incidence and death in the world. The former research mainly concentrated on specific sources of patients. Besides, due to the heterogeneity among regions, there are inconsistencies in the outcome of these surveys. To explore the relationship between atmospheric pollution and hospital visits for pneumonia under the climate and pollution conditions in Qingdao, we carried out this study. METHODS: The medical records of pneumonia patients were gathered from the affiliated hospital of Qingdao University during Jan 1st, 2014, and Dec 31st,2018. Daily concentrations of PM(2.5), PM(10), SO(2), NO(2), as well as CO, were collected from the national air quality monitoring stations in Qingdao. Case-crossover study design and conditional logistic regression model were used to estimate the associations. Daily temperature, relative humidity, and atmospheric pressure were adjusted as the covariates in all models. A principal component analysis was used to solve the multicollinearity between atmospheric pollutants and investigate the relationship between various air pollutants and pneumonia occurs. RESULTS: In the single pollutant model, with interquartile range increment of the density of PM(2.5), PM(10), NO(2) and SO(2) at the lag2 days, the odds ratio of hospital visits for pneumonia patients increased by 6.4% (95%CI, 2.3–10.7%), 7.7% (95%CI, 3.2–12.4%), 6.7% (95%CI, 1.0–12.7%), and 7.2% (95%CI, 1.1–13.5%). Stratified analysis showed that pollutants were more significant in the cold period. Besides, the impact of atmospheric particulates on different ages mainly occurs in the young child (0 to 3-year-old). The odds ratio was 1.042 (95%CI, 1.012–1.072) when the principal components of atmospheric pollutants were included in the conditional logistic model. CONCLUSIONS: Our study found a significant relationship between short-term uncovering to PM(2.5), PM(10), NO(2), SO(2), and hospital visits for pneumonia in Qingdao. The effect of atmospheric pollutants mainly arose in a cold period. The particulate matter might be the principal reason in inducing hospital visits for pneumonia. BioMed Central 2021-01-07 /pmc/articles/PMC7791776/ /pubmed/33413265 http://dx.doi.org/10.1186/s12889-020-10065-0 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Zhang, Jianzhong
Ren, Dunqiang
Cao, Xue
Wang, Tao
Geng, Xue
Li, Xin
Tang, Jinglong
Leng, Shuguang
Wang, Hongmei
Zheng, Yuxin
Ambient air pollutants and hospital visits for pneumonia: a case-crossover study in Qingdao, China
title Ambient air pollutants and hospital visits for pneumonia: a case-crossover study in Qingdao, China
title_full Ambient air pollutants and hospital visits for pneumonia: a case-crossover study in Qingdao, China
title_fullStr Ambient air pollutants and hospital visits for pneumonia: a case-crossover study in Qingdao, China
title_full_unstemmed Ambient air pollutants and hospital visits for pneumonia: a case-crossover study in Qingdao, China
title_short Ambient air pollutants and hospital visits for pneumonia: a case-crossover study in Qingdao, China
title_sort ambient air pollutants and hospital visits for pneumonia: a case-crossover study in qingdao, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791776/
https://www.ncbi.nlm.nih.gov/pubmed/33413265
http://dx.doi.org/10.1186/s12889-020-10065-0
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