Literature DB >> 28653196

Air pollution and hospital visits for acute upper and lower respiratory infections among children in Ningbo, China: A time-series analysis.

Pei-Wen Zheng1, Jian-Bing Wang1,2, Zhen-Yu Zhang3, Peng Shen4, Peng-Fei Chai4, Die Li1, Ming-Juan Jin1, Meng-Ling Tang1, Huai-Chu Lu4, Hong-Bo Lin5, Kun Chen6,7.   

Abstract

Acute upper and lower respiratory infections are main causes of mortality and morbidity in children. Air pollution has been recognized as an important contributor to development and exacerbation of respiratory infections. However, few studies are available in China. In this study, we investigated the short-term effect of air pollution on hospital visits for acute upper and lower respiratory infections among children under 15 years in Ningbo, China. Poisson generalized models were used to estimate the associations between air pollution and hospital visits for acute upper and lower respiratory infections adjusted for temporal, seasonal, and meteorological effects. We found that four pollutants (PM2.5, PM10, NO2, and SO2) were significantly associated with hospital visits for acute upper and lower respiratory infections. The effect estimates for acute upper respiratory infections tended to be higher (PM2.5 ER = 3.46, 95% CI 2.18, 4.76; PM10 ER = 2.81, 95% CI 1.93, 3.69; NO2 ER = 11.27, 95% CI 8.70, 13.89; SO2 ER = 15.17, 95% CI 11.29, 19.19). Significant associations for gaseous pollutants (NO2 and SO2) were observed after adjustment for particular matter. Stronger associations were observed among older children and in the cold period. Our study suggested that short-term exposure to outdoor air pollution was associated with hospital visits for acute upper and lower respiratory infections in Ningbo.

Entities:  

Keywords:  Acute lower respiratory infection; Acute upper respiratory infection; Air pollution; Hospital visits

Mesh:

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Year:  2017        PMID: 28653196     DOI: 10.1007/s11356-017-9279-8

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  34 in total

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