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Article Publish Status: FREE
Abstract Title:

Ambient air pollution and respiratory mortality in Xi'an, China: a time-series analysis.

Abstract Source:

Respir Res. 2019 Jul 5 ;20(1):139. Epub 2019 Jul 5. PMID: 31277656

Abstract Author(s):

Kingsley Katleho Mokoena, Crystal Jane Ethan, Yan Yu, Karabo Shale, Feng Liu

Article Affiliation:

Kingsley Katleho Mokoena

Abstract:

BACKGROUND: Although air pollution is a known fundamental problem in China, few studies have investigated the associations between ambient air pollution and respiratory mortality in non-metropolitan cities of China. The study aimed to investigate a potential relationship between short-term exposure to ambient air pollutants and respiratory mortality in Xi'an, China.

METHODS: Daily averages of PM, SO, O, temperature, relative humidity and daily counts of respiratory mortality were obtained (2014-2016). Using a single and multi-pollutant approach in time-series analysis, the generalized additive model with natural splines was used for analysis. Subgroup analysis stratified by gender and age group (≤ 64 years and ≥ 65 years) was conducted.

RESULTS: Seven thousand nine hundred sixty-five cases of respiratory mortality were assessed, with 62.9, 28.5, and 8.6% of mortality attributed to chronic lower respiratory diseases, influenza and pneumonia, as well as other forms of respiratory diseases, respectively. Observed pollutants were significantly associated with respiratory mortality. In the single pollutant model, 10 μg/mincrease in a two-day moving average of PM, and SOconcentrations were significantly associated with relative risk 1.313(1.032, 1.708) and 1.4020(0.827, 2.854) of respiratory mortality, respectively. The effects of both air pollutants remained statistically significant after adjusting for collinearity in the multi-pollutant model. Ozone was only statistically associated with respiratory mortality in females at lag 0 [RR: 0.964(0.938, 0.991)].

CONCLUSION: This study provided evidence that respiratory mortality in Xi'an was significantly associated with exposure to ambient air pollutants from 2014 to 2016.

Study Type : Human Study

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