Cargando…
Association between hospitalizations for asthma exacerbation and weather conditions in Qingdao: an ecological study
BACKGROUND: The hospitalization for asthma exacerbation has varied with seasons, however, the underlying weather reasons have not been fully explored yet. This study is aimed to explore the effect of weather factors on increased number of hospitalization due to worsening of asthma symptoms. This wil...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073776/ https://www.ncbi.nlm.nih.gov/pubmed/35530953 http://dx.doi.org/10.21037/atm-22-1755 |
_version_ | 1784701361065033728 |
---|---|
author | Han, Wei Su, Yi Liu, Binglin Zhu, Wenjing Yu, Xinjuan Sun, Xiaohui Qi, Xuefei Lin, Xiaopei Rizvi, Syed A. A. Song, Woo-Jung Lee, Ji-Hyang Shimizu, Yasuo Li, Ziguang Li, Qinghai |
author_facet | Han, Wei Su, Yi Liu, Binglin Zhu, Wenjing Yu, Xinjuan Sun, Xiaohui Qi, Xuefei Lin, Xiaopei Rizvi, Syed A. A. Song, Woo-Jung Lee, Ji-Hyang Shimizu, Yasuo Li, Ziguang Li, Qinghai |
author_sort | Han, Wei |
collection | PubMed |
description | BACKGROUND: The hospitalization for asthma exacerbation has varied with seasons, however, the underlying weather reasons have not been fully explored yet. This study is aimed to explore the effect of weather factors on increased number of hospitalization due to worsening of asthma symptoms. This will provide more information to the relevant authorities to allocate appropriate medical resources as per the weather conditions in Qingdao, China. METHODS: All adult patients admitted for asthma exacerbation from 1 January, 2017 to 31 December, 2019 were enrolled from 13 main hospitals of Qingdao. The clinical data, including age, sex, smoking history, etc., were collected from the electronic medical record (EMR) systems. The hourly air quality of Qingdao from 2017–2019, including the air quality index (AQI), PM(2.5) and PM(10), was obtained from the China National Environmental Monitoring Centre. All these parameters during 2017–2019 were compared monthly. For meteorological data, the monthly horizontal wind at 850 hPa and vertical velocity at 500 hPa during 1960–2020 were obtained from National Center for Environmental Prediction (NCEP) and the National Center for Atmospheric Research (NCAR) global reanalysis dataset. The correlation analysis was applied to determine the association between asthma hospitalizations and the environmental factors, including atmospheric pressure, humidity, vertical visibility, and etc., monthly. RESULTS: In all, 10,549 asthmatic inpatients (45.7% males, 54.3% females) were included in the study. The inpatients number for asthma exacerbation had a plateau lasting from March to June of 2019, accompanied with high PM(2.5) and PM(10), as well as bad air quality from January to March of 2019, potentially governed by the El Niño event in 2018. However, there was no significance correlation between the number of asthma hospitalizations and the average value of all environmental factors. CONCLUSIONS: The high rate of hospitalization for asthma exacerbation in Qingdao during the spring of 2019 was associated with the unfavorable weather conditions, which might be linked to the atmospheric circulation in East Asia. |
format | Online Article Text |
id | pubmed-9073776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-90737762022-05-07 Association between hospitalizations for asthma exacerbation and weather conditions in Qingdao: an ecological study Han, Wei Su, Yi Liu, Binglin Zhu, Wenjing Yu, Xinjuan Sun, Xiaohui Qi, Xuefei Lin, Xiaopei Rizvi, Syed A. A. Song, Woo-Jung Lee, Ji-Hyang Shimizu, Yasuo Li, Ziguang Li, Qinghai Ann Transl Med Original Article BACKGROUND: The hospitalization for asthma exacerbation has varied with seasons, however, the underlying weather reasons have not been fully explored yet. This study is aimed to explore the effect of weather factors on increased number of hospitalization due to worsening of asthma symptoms. This will provide more information to the relevant authorities to allocate appropriate medical resources as per the weather conditions in Qingdao, China. METHODS: All adult patients admitted for asthma exacerbation from 1 January, 2017 to 31 December, 2019 were enrolled from 13 main hospitals of Qingdao. The clinical data, including age, sex, smoking history, etc., were collected from the electronic medical record (EMR) systems. The hourly air quality of Qingdao from 2017–2019, including the air quality index (AQI), PM(2.5) and PM(10), was obtained from the China National Environmental Monitoring Centre. All these parameters during 2017–2019 were compared monthly. For meteorological data, the monthly horizontal wind at 850 hPa and vertical velocity at 500 hPa during 1960–2020 were obtained from National Center for Environmental Prediction (NCEP) and the National Center for Atmospheric Research (NCAR) global reanalysis dataset. The correlation analysis was applied to determine the association between asthma hospitalizations and the environmental factors, including atmospheric pressure, humidity, vertical visibility, and etc., monthly. RESULTS: In all, 10,549 asthmatic inpatients (45.7% males, 54.3% females) were included in the study. The inpatients number for asthma exacerbation had a plateau lasting from March to June of 2019, accompanied with high PM(2.5) and PM(10), as well as bad air quality from January to March of 2019, potentially governed by the El Niño event in 2018. However, there was no significance correlation between the number of asthma hospitalizations and the average value of all environmental factors. CONCLUSIONS: The high rate of hospitalization for asthma exacerbation in Qingdao during the spring of 2019 was associated with the unfavorable weather conditions, which might be linked to the atmospheric circulation in East Asia. AME Publishing Company 2022-04 /pmc/articles/PMC9073776/ /pubmed/35530953 http://dx.doi.org/10.21037/atm-22-1755 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Han, Wei Su, Yi Liu, Binglin Zhu, Wenjing Yu, Xinjuan Sun, Xiaohui Qi, Xuefei Lin, Xiaopei Rizvi, Syed A. A. Song, Woo-Jung Lee, Ji-Hyang Shimizu, Yasuo Li, Ziguang Li, Qinghai Association between hospitalizations for asthma exacerbation and weather conditions in Qingdao: an ecological study |
title | Association between hospitalizations for asthma exacerbation and weather conditions in Qingdao: an ecological study |
title_full | Association between hospitalizations for asthma exacerbation and weather conditions in Qingdao: an ecological study |
title_fullStr | Association between hospitalizations for asthma exacerbation and weather conditions in Qingdao: an ecological study |
title_full_unstemmed | Association between hospitalizations for asthma exacerbation and weather conditions in Qingdao: an ecological study |
title_short | Association between hospitalizations for asthma exacerbation and weather conditions in Qingdao: an ecological study |
title_sort | association between hospitalizations for asthma exacerbation and weather conditions in qingdao: an ecological study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073776/ https://www.ncbi.nlm.nih.gov/pubmed/35530953 http://dx.doi.org/10.21037/atm-22-1755 |
work_keys_str_mv | AT hanwei associationbetweenhospitalizationsforasthmaexacerbationandweatherconditionsinqingdaoanecologicalstudy AT suyi associationbetweenhospitalizationsforasthmaexacerbationandweatherconditionsinqingdaoanecologicalstudy AT liubinglin associationbetweenhospitalizationsforasthmaexacerbationandweatherconditionsinqingdaoanecologicalstudy AT zhuwenjing associationbetweenhospitalizationsforasthmaexacerbationandweatherconditionsinqingdaoanecologicalstudy AT yuxinjuan associationbetweenhospitalizationsforasthmaexacerbationandweatherconditionsinqingdaoanecologicalstudy AT sunxiaohui associationbetweenhospitalizationsforasthmaexacerbationandweatherconditionsinqingdaoanecologicalstudy AT qixuefei associationbetweenhospitalizationsforasthmaexacerbationandweatherconditionsinqingdaoanecologicalstudy AT linxiaopei associationbetweenhospitalizationsforasthmaexacerbationandweatherconditionsinqingdaoanecologicalstudy AT rizvisyedaa associationbetweenhospitalizationsforasthmaexacerbationandweatherconditionsinqingdaoanecologicalstudy AT songwoojung associationbetweenhospitalizationsforasthmaexacerbationandweatherconditionsinqingdaoanecologicalstudy AT leejihyang associationbetweenhospitalizationsforasthmaexacerbationandweatherconditionsinqingdaoanecologicalstudy AT shimizuyasuo associationbetweenhospitalizationsforasthmaexacerbationandweatherconditionsinqingdaoanecologicalstudy AT liziguang associationbetweenhospitalizationsforasthmaexacerbationandweatherconditionsinqingdaoanecologicalstudy AT liqinghai associationbetweenhospitalizationsforasthmaexacerbationandweatherconditionsinqingdaoanecologicalstudy |