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Air Pollutants, Climate, and the Prevalence of Pediatric Asthma in Urban Areas of China
Background. Prevalence of childhood asthma varies significantly among regions, while its reasons are not clear yet with only a few studies reporting relevant causes for this variation. Objective. To investigate the potential role of city-average levels of air pollutants and climatic factors in order...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4983328/ https://www.ncbi.nlm.nih.gov/pubmed/27556031 http://dx.doi.org/10.1155/2016/2935163 |
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author | Zhang, Juanjuan Dai, Jihong Yan, Li Fu, Wenlong Yi, Jing Chen, Yuzhi Liu, Chuanhe Xu, Dongqun Wang, Qiang |
author_facet | Zhang, Juanjuan Dai, Jihong Yan, Li Fu, Wenlong Yi, Jing Chen, Yuzhi Liu, Chuanhe Xu, Dongqun Wang, Qiang |
author_sort | Zhang, Juanjuan |
collection | PubMed |
description | Background. Prevalence of childhood asthma varies significantly among regions, while its reasons are not clear yet with only a few studies reporting relevant causes for this variation. Objective. To investigate the potential role of city-average levels of air pollutants and climatic factors in order to distinguish differences in asthma prevalence in China and explain their reasons. Methods. Data pertaining to 10,777 asthmatic patients were obtained from the third nationwide survey of childhood asthma in China's urban areas. Annual mean concentrations of air pollutants and other climatic factors were obtained for the same period from several government departments. Data analysis was implemented with descriptive statistics, Pearson correlation coefficient, and multiple regression analysis. Results. Pearson correlation analysis showed that the situation of childhood asthma was strongly linked with SO(2), relative humidity, and hours of sunshine (p < 0.05). Multiple regression analysis indicated that, among the predictor variables in the final step, SO(2) was found to be the most powerful predictor variable amongst all (β = −19.572, p < 0.05). Furthermore, results had shown that hours of sunshine (β = −0.014, p < 0.05) was a significant component summary predictor variable. Conclusion. The findings of this study do not suggest that air pollutants or climate, at least in terms of children, plays a major role in explaining regional differences in asthma prevalence in China. |
format | Online Article Text |
id | pubmed-4983328 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-49833282016-08-23 Air Pollutants, Climate, and the Prevalence of Pediatric Asthma in Urban Areas of China Zhang, Juanjuan Dai, Jihong Yan, Li Fu, Wenlong Yi, Jing Chen, Yuzhi Liu, Chuanhe Xu, Dongqun Wang, Qiang Biomed Res Int Research Article Background. Prevalence of childhood asthma varies significantly among regions, while its reasons are not clear yet with only a few studies reporting relevant causes for this variation. Objective. To investigate the potential role of city-average levels of air pollutants and climatic factors in order to distinguish differences in asthma prevalence in China and explain their reasons. Methods. Data pertaining to 10,777 asthmatic patients were obtained from the third nationwide survey of childhood asthma in China's urban areas. Annual mean concentrations of air pollutants and other climatic factors were obtained for the same period from several government departments. Data analysis was implemented with descriptive statistics, Pearson correlation coefficient, and multiple regression analysis. Results. Pearson correlation analysis showed that the situation of childhood asthma was strongly linked with SO(2), relative humidity, and hours of sunshine (p < 0.05). Multiple regression analysis indicated that, among the predictor variables in the final step, SO(2) was found to be the most powerful predictor variable amongst all (β = −19.572, p < 0.05). Furthermore, results had shown that hours of sunshine (β = −0.014, p < 0.05) was a significant component summary predictor variable. Conclusion. The findings of this study do not suggest that air pollutants or climate, at least in terms of children, plays a major role in explaining regional differences in asthma prevalence in China. Hindawi Publishing Corporation 2016 2016-07-31 /pmc/articles/PMC4983328/ /pubmed/27556031 http://dx.doi.org/10.1155/2016/2935163 Text en Copyright © 2016 Juanjuan Zhang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhang, Juanjuan Dai, Jihong Yan, Li Fu, Wenlong Yi, Jing Chen, Yuzhi Liu, Chuanhe Xu, Dongqun Wang, Qiang Air Pollutants, Climate, and the Prevalence of Pediatric Asthma in Urban Areas of China |
title | Air Pollutants, Climate, and the Prevalence of Pediatric Asthma in Urban Areas of China |
title_full | Air Pollutants, Climate, and the Prevalence of Pediatric Asthma in Urban Areas of China |
title_fullStr | Air Pollutants, Climate, and the Prevalence of Pediatric Asthma in Urban Areas of China |
title_full_unstemmed | Air Pollutants, Climate, and the Prevalence of Pediatric Asthma in Urban Areas of China |
title_short | Air Pollutants, Climate, and the Prevalence of Pediatric Asthma in Urban Areas of China |
title_sort | air pollutants, climate, and the prevalence of pediatric asthma in urban areas of china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4983328/ https://www.ncbi.nlm.nih.gov/pubmed/27556031 http://dx.doi.org/10.1155/2016/2935163 |
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