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An integrated study of health, environmental and socioeconomic indicators in a mining-impacted community exposed to metal enrichment
The occurrence of toxic metals and metalloids associated with mine tailings is a serious public health concern for communities living in mining areas. This work explores the relationship between metal occurrence (e.g., spatial distribution in street dusts), human health indicators (e.g., metals in u...
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Published in: | Environmental geochemistry and health 2019-12, Vol.41 (6), p.2505-2519 |
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description | The occurrence of toxic metals and metalloids associated with mine tailings is a serious public health concern for communities living in mining areas. This work explores the relationship between metal occurrence (e.g., spatial distribution in street dusts), human health indicators (e.g., metals in urine samples, lifestyle and self-reported diseases) and socioeconomic status (SES) using Chañaral city (in northern Chile) as study site, where a copper mine tailing was disposed in the periurban area. This study model may shed light on the development of environmental and health surveillance plans on arid cities where legacy mining is a sustainability challenge. High concentrations of metals were found in street dust, with arsenic and copper concentrations of 24 ± 13 and 607 ± 911 mg/kg, respectively. The arsenic concentration in street dust correlated with distance to the mine tailing (
r
= − 0.32,
p
-value = 0.009), suggesting that arsenic is dispersed from this source toward the city. Despite these high environmental concentrations, urinary levels of metals were low, while 90% of the population had concentrations of inorganic arsenic and its metabolites in urine below 33.2 µg/L, copper was detected in few urine samples ( |
doi_str_mv | 10.1007/s10653-019-00308-4 |
format | article |
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r
= − 0.32,
p
-value = 0.009), suggesting that arsenic is dispersed from this source toward the city. Despite these high environmental concentrations, urinary levels of metals were low, while 90% of the population had concentrations of inorganic arsenic and its metabolites in urine below 33.2 µg/L, copper was detected in few urine samples (< 6%). Our results detected statistically significant differences in environmental exposures across SES, but, surprisingly, there was no significant correlation between urinary levels of metals and SES. Despite this, future assessment and control strategies in follow-up research or surveillance programs should consider environmental and urinary concentrations and SES as indicators of environmental exposure to metals in mining communities.</description><identifier>ISSN: 0269-4042</identifier><identifier>EISSN: 1573-2983</identifier><identifier>DOI: 10.1007/s10653-019-00308-4</identifier><identifier>PMID: 31049755</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Adolescent ; Adult ; Aged ; Air Pollutants - analysis ; Air Pollutants - urine ; Aridity ; Arsenic ; Arsenic - analysis ; Arsenic - urine ; Atmospheric particulates ; Chile ; Cities ; Copper ; Copper - analysis ; Copper - urine ; Cross-Sectional Studies ; Dust ; Dust - analysis ; Dust storms ; Earth and Environmental Science ; Environment ; Environmental Chemistry ; Environmental Exposure - analysis ; Environmental Health ; Environmental impact ; Environmental indicators ; Environmental Monitoring - methods ; Exposure ; Female ; Geochemistry ; Health surveillance ; Heavy metals ; Humans ; Indicators ; Male ; Metabolites ; Metal concentrations ; Metalloids ; Metalloids - analysis ; Metals ; Metals - analysis ; Metals - urine ; Middle Aged ; Mine tailings ; Mine wastes ; Mining ; Original Paper ; Public Health ; Socioeconomic Factors ; Socioeconomics ; Soil Science & Conservation ; Spatial distribution ; Statistical analysis ; Statistical methods ; Surveillance ; Sustainability ; Terrestrial Pollution ; Urine ; Young Adult</subject><ispartof>Environmental geochemistry and health, 2019-12, Vol.41 (6), p.2505-2519</ispartof><rights>Springer Nature B.V. 2019</rights><rights>Environmental Geochemistry and Health is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-a4eadf572d701e8d5ee87b30f145b908091cdcaa1703a600533169b4557488653</citedby><cites>FETCH-LOGICAL-c375t-a4eadf572d701e8d5ee87b30f145b908091cdcaa1703a600533169b4557488653</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31049755$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Moya, Pablo M.</creatorcontrib><creatorcontrib>Arce, Guillermo J.</creatorcontrib><creatorcontrib>Leiva, Cinthya</creatorcontrib><creatorcontrib>Vega, Alejandra S.</creatorcontrib><creatorcontrib>Gutiérrez, Santiago</creatorcontrib><creatorcontrib>Adaros, Héctor</creatorcontrib><creatorcontrib>Muñoz, Luis</creatorcontrib><creatorcontrib>Pastén, Pablo A.</creatorcontrib><creatorcontrib>Cortés, Sandra</creatorcontrib><title>An integrated study of health, environmental and socioeconomic indicators in a mining-impacted community exposed to metal enrichment</title><title>Environmental geochemistry and health</title><addtitle>Environ Geochem Health</addtitle><addtitle>Environ Geochem Health</addtitle><description>The occurrence of toxic metals and metalloids associated with mine tailings is a serious public health concern for communities living in mining areas. This work explores the relationship between metal occurrence (e.g., spatial distribution in street dusts), human health indicators (e.g., metals in urine samples, lifestyle and self-reported diseases) and socioeconomic status (SES) using Chañaral city (in northern Chile) as study site, where a copper mine tailing was disposed in the periurban area. This study model may shed light on the development of environmental and health surveillance plans on arid cities where legacy mining is a sustainability challenge. High concentrations of metals were found in street dust, with arsenic and copper concentrations of 24 ± 13 and 607 ± 911 mg/kg, respectively. The arsenic concentration in street dust correlated with distance to the mine tailing (
r
= − 0.32,
p
-value = 0.009), suggesting that arsenic is dispersed from this source toward the city. Despite these high environmental concentrations, urinary levels of metals were low, while 90% of the population had concentrations of inorganic arsenic and its metabolites in urine below 33.2 µg/L, copper was detected in few urine samples (< 6%). Our results detected statistically significant differences in environmental exposures across SES, but, surprisingly, there was no significant correlation between urinary levels of metals and SES. Despite this, future assessment and control strategies in follow-up research or surveillance programs should consider environmental and urinary concentrations and SES as indicators of environmental exposure to metals in mining communities.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Air Pollutants - analysis</subject><subject>Air Pollutants - urine</subject><subject>Aridity</subject><subject>Arsenic</subject><subject>Arsenic - analysis</subject><subject>Arsenic - urine</subject><subject>Atmospheric particulates</subject><subject>Chile</subject><subject>Cities</subject><subject>Copper</subject><subject>Copper - analysis</subject><subject>Copper - urine</subject><subject>Cross-Sectional Studies</subject><subject>Dust</subject><subject>Dust - analysis</subject><subject>Dust storms</subject><subject>Earth and Environmental Science</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Exposure - analysis</subject><subject>Environmental Health</subject><subject>Environmental impact</subject><subject>Environmental indicators</subject><subject>Environmental Monitoring - methods</subject><subject>Exposure</subject><subject>Female</subject><subject>Geochemistry</subject><subject>Health surveillance</subject><subject>Heavy metals</subject><subject>Humans</subject><subject>Indicators</subject><subject>Male</subject><subject>Metabolites</subject><subject>Metal concentrations</subject><subject>Metalloids</subject><subject>Metalloids - analysis</subject><subject>Metals</subject><subject>Metals - analysis</subject><subject>Metals - urine</subject><subject>Middle Aged</subject><subject>Mine tailings</subject><subject>Mine wastes</subject><subject>Mining</subject><subject>Original Paper</subject><subject>Public Health</subject><subject>Socioeconomic Factors</subject><subject>Socioeconomics</subject><subject>Soil Science & Conservation</subject><subject>Spatial distribution</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Surveillance</subject><subject>Sustainability</subject><subject>Terrestrial Pollution</subject><subject>Urine</subject><subject>Young Adult</subject><issn>0269-4042</issn><issn>1573-2983</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kE1vVCEUhonR2LH6B1wYEreihwvMhWXT-NGkiRtdE4Z77gzNACNwjbP3h8t0qu66gsD7PifnIeQ1h_ccYPxQOayVYMANAxCgmXxCVlyNgg1Gi6dkBcPaMAlyuCAvar0DADNK_ZxcCA7SjEqtyO-rRENquC2u4URrW6YjzTPdodu33TuK6WcoOUVMze2pSz2Sfcjoc8ox-N6dgnctl9qv1NEYUkhbFuLB-RPQ5xiXFNqR4q9Drv2lZRrxBMNUgt-dyC_Js9ntK756OC_J908fv11_YbdfP99cX90yL0bVmJPoplmNwzQCRz0pRD1uBMxcqo0BDYb7yTvHRxBuDaCE4GuzkUr1rXVXdUnenrmHkn8sWJu9y0tJfaQdBq610eY-NZxTvuRaC872UEJ05Wg52JN4exZvu3h7L97KXnrzgF42Ead_lb-me0CcA7V_pS2W_7Mfwf4BLkaP8w</recordid><startdate>20191201</startdate><enddate>20191201</enddate><creator>Moya, Pablo M.</creator><creator>Arce, Guillermo J.</creator><creator>Leiva, Cinthya</creator><creator>Vega, Alejandra S.</creator><creator>Gutiérrez, Santiago</creator><creator>Adaros, Héctor</creator><creator>Muñoz, Luis</creator><creator>Pastén, Pablo A.</creator><creator>Cortés, Sandra</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7UA</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L.G</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>20191201</creationdate><title>An integrated study of health, environmental and socioeconomic indicators in a mining-impacted community exposed to metal enrichment</title><author>Moya, Pablo M. ; Arce, Guillermo J. ; Leiva, Cinthya ; Vega, Alejandra S. ; Gutiérrez, Santiago ; Adaros, Héctor ; Muñoz, Luis ; Pastén, Pablo A. ; Cortés, Sandra</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-a4eadf572d701e8d5ee87b30f145b908091cdcaa1703a600533169b4557488653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Air Pollutants - 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This work explores the relationship between metal occurrence (e.g., spatial distribution in street dusts), human health indicators (e.g., metals in urine samples, lifestyle and self-reported diseases) and socioeconomic status (SES) using Chañaral city (in northern Chile) as study site, where a copper mine tailing was disposed in the periurban area. This study model may shed light on the development of environmental and health surveillance plans on arid cities where legacy mining is a sustainability challenge. High concentrations of metals were found in street dust, with arsenic and copper concentrations of 24 ± 13 and 607 ± 911 mg/kg, respectively. The arsenic concentration in street dust correlated with distance to the mine tailing (
r
= − 0.32,
p
-value = 0.009), suggesting that arsenic is dispersed from this source toward the city. Despite these high environmental concentrations, urinary levels of metals were low, while 90% of the population had concentrations of inorganic arsenic and its metabolites in urine below 33.2 µg/L, copper was detected in few urine samples (< 6%). Our results detected statistically significant differences in environmental exposures across SES, but, surprisingly, there was no significant correlation between urinary levels of metals and SES. Despite this, future assessment and control strategies in follow-up research or surveillance programs should consider environmental and urinary concentrations and SES as indicators of environmental exposure to metals in mining communities.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>31049755</pmid><doi>10.1007/s10653-019-00308-4</doi><tpages>15</tpages></addata></record> |
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subjects | Adolescent Adult Aged Air Pollutants - analysis Air Pollutants - urine Aridity Arsenic Arsenic - analysis Arsenic - urine Atmospheric particulates Chile Cities Copper Copper - analysis Copper - urine Cross-Sectional Studies Dust Dust - analysis Dust storms Earth and Environmental Science Environment Environmental Chemistry Environmental Exposure - analysis Environmental Health Environmental impact Environmental indicators Environmental Monitoring - methods Exposure Female Geochemistry Health surveillance Heavy metals Humans Indicators Male Metabolites Metal concentrations Metalloids Metalloids - analysis Metals Metals - analysis Metals - urine Middle Aged Mine tailings Mine wastes Mining Original Paper Public Health Socioeconomic Factors Socioeconomics Soil Science & Conservation Spatial distribution Statistical analysis Statistical methods Surveillance Sustainability Terrestrial Pollution Urine Young Adult |
title | An integrated study of health, environmental and socioeconomic indicators in a mining-impacted community exposed to metal enrichment |
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