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https://ir.csmu.edu.tw:8080/ir/handle/310902500/19050
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Title: | PM10 concentration in relation to clinic visits for anxiety disorders: a population-based study of a high river-dust episode region in Taiwan |
Authors: | Yang, Hao-Jan;Hu, Chiung-Wen;Chen, Szu-chieh;Hsieh, Chia-Yu;Kuo, Chung-Yih |
Contributors: | 中山醫學大學 |
Keywords: | Anxiety disorders;Clinic visits;PM10;Population-based study;River dust;Threshold;Time-series analysis |
Date: | 2018-03 |
Issue Date: | 2018-03-27T09:01:12Z (UTC)
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Publisher: | Springer Netherlands |
ISSN: | 18739318 |
Abstract: | PM10 exposure has been found to have significant effects on a variety of physical conditions. However, whether it acts on psychopathology remains unclear. This study used 8-year data to examine the relationship between PM10 concentration and daily clinic visits of anxiety disorders. All residents of Yunlin County, Taiwan, which is a high river-dust exposure area, were selected as subjects. Data from the Taiwan National Health Insurance Research Database (NHIRD), 2002–2009, were analyzed. Individuals with any ICD code of 300.0 and 300.2 were categorized as with anxiety disorders. PM10 data were based on the Lunbei station (located at Yunlin County) of EPA, Taiwan. Time-series analysis showed that, during the observed 8 years, the number of daily clinic visits for anxiety disorders increased with PM10 levels, and the relationship remained significant after unemployment rate, and the Weighted Price Index of Taiwan Stock Exchange in the same period were controlled for. In particular, we found that there is a linear dose-response effect between daily clinic visits and PM10 levels when PM10 < 300 μg/m3; whereas a dramatically elevated daily clinic visits of anxiety disorders was found when PM10 > 300 μg/m3. Findings from this study highlight that high level of PM10 exposure derived from severe weather or environment condition may affect the occurrence of anxiety disorders. In addition, there seems to have a threshold of PM10 in elevating the risk of anxiety disorders. © 2017, Springer Science+Business Media B.V., part of Springer Nature. |
URI: | https://www.doi.org/10.1007/s11869-017-0534-4 https://ir.csmu.edu.tw:8080/ir/handle/310902500/19050 |
Relation: | Air Quality, Atmosphere and Health Volume 11, Issue 2, 1 March 2018, Pages 221-227 |
Appears in Collections: | [附設醫院] 期刊論文
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