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Association of children wheezing diseases with meteorological and environmental factors in Suzhou, China

Wheezing diseases are one of the major chronic respiratory diseases in children. To explore the effects of meteorological and environmental factors on the prevalence of children wheezing diseases, clinical data of children hospitalized with wheezing diseases in Suzhou, China from 2013 to 2017 were c...

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Autores principales: Huang, Jia-qi, Zhang, Jin, Hao, Chuang-li, Chen, Zheng-rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943037/
https://www.ncbi.nlm.nih.gov/pubmed/35322129
http://dx.doi.org/10.1038/s41598-022-08985-5
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author Huang, Jia-qi
Zhang, Jin
Hao, Chuang-li
Chen, Zheng-rong
author_facet Huang, Jia-qi
Zhang, Jin
Hao, Chuang-li
Chen, Zheng-rong
author_sort Huang, Jia-qi
collection PubMed
description Wheezing diseases are one of the major chronic respiratory diseases in children. To explore the effects of meteorological and environmental factors on the prevalence of children wheezing diseases, clinical data of children hospitalized with wheezing diseases in Suzhou, China from 2013 to 2017 were collected. Meteorological and environmental factors from 2013 to 2017 were obtained from the local Meteorological Bureau and Environmental Protection Bureau. Relationships between wheezing diseases and meteorological and environmental factors were evaluated using Pearson’s correlation and multivariate regression analysis. An autoregressive integrated moving average (ARIMA) model was used to estimate the effects of meteorological and environmental variables on children wheezing diseases. Children wheezing diseases were frequently presented in infants less than 12 months old (1897/2655, 58.28%), and the hospitalization rate was highest in winter (1024/3255, 31.46%). In pathogen-positive specimens, the top three pathogens were respiratory syncytial virus (21.35%), human rhinovirus (16.28%) and mycoplasma pneumoniae (10.47%). The seasonality of wheezing children number showed a distinctive winter peak. Children wheezing diseases were negatively correlated with average temperature (P < 0.001, r =  − 0.598). The ARIMA (1,0,0)(0,0,0)(12) model could be used to predict temperature changes associated wheezing diseases. Meteorological and environmental factors were associated with the number of hospitalized children with wheezing diseases and can be used as early warning indicators for the occurrence of wheezing diseases and prevalence of virus.
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spelling pubmed-89430372022-03-28 Association of children wheezing diseases with meteorological and environmental factors in Suzhou, China Huang, Jia-qi Zhang, Jin Hao, Chuang-li Chen, Zheng-rong Sci Rep Article Wheezing diseases are one of the major chronic respiratory diseases in children. To explore the effects of meteorological and environmental factors on the prevalence of children wheezing diseases, clinical data of children hospitalized with wheezing diseases in Suzhou, China from 2013 to 2017 were collected. Meteorological and environmental factors from 2013 to 2017 were obtained from the local Meteorological Bureau and Environmental Protection Bureau. Relationships between wheezing diseases and meteorological and environmental factors were evaluated using Pearson’s correlation and multivariate regression analysis. An autoregressive integrated moving average (ARIMA) model was used to estimate the effects of meteorological and environmental variables on children wheezing diseases. Children wheezing diseases were frequently presented in infants less than 12 months old (1897/2655, 58.28%), and the hospitalization rate was highest in winter (1024/3255, 31.46%). In pathogen-positive specimens, the top three pathogens were respiratory syncytial virus (21.35%), human rhinovirus (16.28%) and mycoplasma pneumoniae (10.47%). The seasonality of wheezing children number showed a distinctive winter peak. Children wheezing diseases were negatively correlated with average temperature (P < 0.001, r =  − 0.598). The ARIMA (1,0,0)(0,0,0)(12) model could be used to predict temperature changes associated wheezing diseases. Meteorological and environmental factors were associated with the number of hospitalized children with wheezing diseases and can be used as early warning indicators for the occurrence of wheezing diseases and prevalence of virus. Nature Publishing Group UK 2022-03-23 /pmc/articles/PMC8943037/ /pubmed/35322129 http://dx.doi.org/10.1038/s41598-022-08985-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Huang, Jia-qi
Zhang, Jin
Hao, Chuang-li
Chen, Zheng-rong
Association of children wheezing diseases with meteorological and environmental factors in Suzhou, China
title Association of children wheezing diseases with meteorological and environmental factors in Suzhou, China
title_full Association of children wheezing diseases with meteorological and environmental factors in Suzhou, China
title_fullStr Association of children wheezing diseases with meteorological and environmental factors in Suzhou, China
title_full_unstemmed Association of children wheezing diseases with meteorological and environmental factors in Suzhou, China
title_short Association of children wheezing diseases with meteorological and environmental factors in Suzhou, China
title_sort association of children wheezing diseases with meteorological and environmental factors in suzhou, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943037/
https://www.ncbi.nlm.nih.gov/pubmed/35322129
http://dx.doi.org/10.1038/s41598-022-08985-5
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