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Original Articles

Acute effects of air pollution on enteritis admissions in Xi’an, China

, , , , , , , & show all
Pages 1183-1189 | Received 26 Jun 2016, Accepted 17 Aug 2016, Published online: 18 Oct 2016
 

ABSTRACT

The correlation between enteritis, a common digestive disease, and exposure to ambient air pollutants has not been examined in a comprehensive manner. The aim of this study was to determine whether an association between short-term air pollution exposure and outpatient visits for enteritis in Xi’an, China, occurred using a time-series investigation. Daily baseline data from January 1, 2013, to December 31, 2015, were obtained. The overdispersed Poisson generalized additive model was used to analyze the association between air pollutant levels and frequency of enteritis. A total of 12,815 outpatient hospital visits for enteritis were identified. A 10-µg/m3 increase in average concentrations of particulate matter (PM)10, PM2.5, nitrogen dioxide (NO2), and sulfur dioxide (SO2), and a 0.1-mg/m3 rise of carbon monoxide (CO) were associated with a significantly elevated number of outpatient visits for enteritis on concurrent days, while ozone (O3) did not markedly affect the frequency of enteritis clinical visits. There were no significant positive effects between two-pollutant and single-pollutant models. Lag models showed that the most prominent responses occurred on concurrent days. Confounding factors of gender and age played a significant role in the observations. Taken together, data indicate that air pollution may result in enhanced occurrence of enteritis attack.

Funding

The study was supported by the National Natural Science Foundation of China (81372952, 81202220, 81472190), Natural Science Foundation of Chongqing (cstc2012jjA10070), and Science and Technology Research and Development Program of Shaanxi Province (2013KJXX-92).

Conflict of Interest

The authors declare that they have no actual or potential competing interests, financial or otherwise.

Additional information

Funding

The study was supported by the National Natural Science Foundation of China (81372952, 81202220, 81472190), Natural Science Foundation of Chongqing (cstc2012jjA10070), and Science and Technology Research and Development Program of Shaanxi Province (2013KJXX-92).

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