Urinary arsenic species concentration in residents living near abandoned metal mines in South Korea View Full Text


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Article Info

DATE

2016-12

AUTHORS

Jin-Yong Chung, Byoung-Gwon Kim, Byung-Kook Lee, Jai-Dong Moon, Joon Sakong, Man Joong Jeon, Jung-Duck Park, Byung-Sun Choi, Nam-Soo Kim, Seung-Do Yu, Jung-Wook Seo, Byeong-Jin Ye, Hyoun-Ju Lim, Young-Seoub Hong

ABSTRACT

BACKGROUND: Arsenic is a carcinogenic heavy metal that has a species-dependent health effects and abandoned metal mines are a source of significant arsenic exposure. Therefore, the aims of this study were to analyze urinary arsenic species and their concentration in residents living near abandoned metal mines and to monitor the environmental health effects of abandoned metal mines in Korea. METHODS: This study was performed in 2014 to assess urinary arsenic excretion patterns of residents living near abandoned metal mines in South Korea. Demographic data such as gender, age, mine working history, period of residency, dietary patterns, smoking and alcohol use, and type of potable water consumed were obtaining using a questionnaire. Informed consent was also obtained from all study subjects (n = 119). Urinary arsenic species were quantified using high performance liquid chromatography (HPLC) and inductively coupled plasma mass spectrometry (ICP/MS). RESULTS: The geometric mean of urinary arsenic (sum of dimethylarsinic acid, monomethylarsonic acid, As3+, and As5+) concentration was determined to be 131.98 μg/L (geometric mean; 95% CI, 116.72-149.23) while urinary inorganic arsenic (As3+ and As5+) concentration was 0.81 μg/L (95% CI, 0.53-1.23). 66.3% (n = 79) and 21.8% (n = 26) of these samples exceeded ATSDR reference values for urinary arsenic (>100 μg/L) and inorganic arsenic (>10 μg/L), respectively. Mean urinary arsenic concentrations (geometric mean, GM) were higher in women then in men, and increased with age. Of the five regions evaluated, while four regions had inorganic arsenic concentrations less than 0.40 μg/L, one region showed a significantly higher concentration (GM 15.48 μg/L; 95% CI, 7.51-31.91) which investigates further studies to identify etiological factors. CONCLUSION: We propose that the observed elevation in urinary arsenic concentration in residents living near abandoned metal mines may be due to environmental contamination from the abandoned metal mine. TRIAL REGISTRATION: Not Applicable (We do not have health care intervention on human participants). More... »

PAGES

67

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40557-016-0150-z

DOI

http://dx.doi.org/10.1186/s40557-016-0150-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016751987

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27895924


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    "description": "BACKGROUND: Arsenic is a carcinogenic heavy metal that has a species-dependent health effects and abandoned metal mines are a source of significant arsenic exposure. Therefore, the aims of this study were to analyze urinary arsenic species and their concentration in residents living near abandoned metal mines and to monitor the environmental health effects of abandoned metal mines in Korea.\nMETHODS: This study was performed in 2014 to assess urinary arsenic excretion patterns of residents living near abandoned metal mines in South Korea. Demographic data such as gender, age, mine working history, period of residency, dietary patterns, smoking and alcohol use, and type of potable water consumed were obtaining using a questionnaire. Informed consent was also obtained from all study subjects (n\u2009=\u2009119). Urinary arsenic species were quantified using high performance liquid chromatography (HPLC) and inductively coupled plasma mass spectrometry (ICP/MS).\nRESULTS: The geometric mean of urinary arsenic (sum of dimethylarsinic acid, monomethylarsonic acid, As3+, and As5+) concentration was determined to be 131.98\u00a0\u03bcg/L (geometric mean; 95% CI, 116.72-149.23) while urinary inorganic arsenic (As3+ and As5+) concentration was 0.81\u00a0\u03bcg/L (95% CI, 0.53-1.23). 66.3% (n\u2009=\u200979) and 21.8% (n\u2009=\u200926) of these samples exceeded ATSDR reference values for urinary arsenic (>100\u00a0\u03bcg/L) and inorganic arsenic (>10\u00a0\u03bcg/L), respectively. Mean urinary arsenic concentrations (geometric mean, GM) were higher in women then in men, and increased with age. Of the five regions evaluated, while four regions had inorganic arsenic concentrations less than 0.40\u00a0\u03bcg/L, one region showed a significantly higher concentration (GM 15.48\u00a0\u03bcg/L; 95% CI, 7.51-31.91) which investigates further studies to identify etiological factors.\nCONCLUSION: We propose that the observed elevation in urinary arsenic concentration in residents living near abandoned metal mines may be due to environmental contamination from the abandoned metal mine.\nTRIAL REGISTRATION: Not Applicable (We do not have health care intervention on human participants).", 
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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s40557-016-0150-z'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s40557-016-0150-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40557-016-0150-z'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40557-016-0150-z'


 

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