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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51716

Title: Associations between Water Quality Measures and Chronic Kidney Disease Prevalence in Taiwan
Authors: Kuan Y. Chang
I-Wen Wu
Bo-Ruei Huang
Jih-Gau Juang
Jia-Chyi Wu
Su-Wei Chang
Chung Chang
Contributors: 國立臺灣海洋大學:資訊工程學系
Keywords: ammonia
arsenic
chemical oxygen demand
chronic kidney disease
dissolved oxygen
end-stage renal disease
water contaminants
zinc
Date: 2018-12
Issue Date: 2018-12-21T02:05:59Z
Publisher: International Journal of Environmental Research and Public Health
Abstract: Abstract: To determine the relationships between exposure to environmental contaminants in water and chronic kidney disease (CKD), we investigated the associations of 61 water attributes with the prevalence of CKD and End-Stage Renal Disease (ESRD) using data from 2005 to 2011 from all 22 counties and cities in the main island of Taiwan. We acquired patient information from the Taiwan Longitudinal Health Insurance Database to calculate the age-standardized CKD and ESRD prevalence rates and linked the patients' residences to the water quality monitoring data, which were sampled periodically for a total of over 45,000 observations obtained from the Taiwan Environmental Water Quality Information Database. The association analysis adjusting for gender, age, and annual effects showed that the zinc (Zn), ammonia, chemical oxygen demand (COD), and dissolved oxygen in rivers were weakly correlated with CKD (τ = 0.268/0.250/0.238/-0.267, p = 6.01×10-6/2.52×10-5/6.05×10-5/3.30×10-5, respectively), but none for ESRD. The importances of Zn and COD in rivers were also demonstrated in a CKD regression model. Moreover, an unusually high CKD prevalence was related to arsenic contamination in groundwater. A further prospective cohort study would improve our understanding of what level of environmental water with risky properties could affect the development of CKD.
Relation: 15(12)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51716
Appears in Collections:[資訊工程學系] 期刊論文

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