Environmental justice and drinking water quality: are there socioeconomic disparities in nitrate levels in U.S. drinking water?

Low-income and minority communities often face disproportionately high pollutant exposures. The lead crisis in Flint, Michigan, has sparked concern about broader socioeconomic disparities in exposures to drinking water contaminants. Nitrate is commonly found in drinking water, especially in agricult...

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Published inEnvironmental health Vol. 18; no. 1; pp. 3 - 15
Main Authors Schaider, Laurel A., Swetschinski, Lucien, Campbell, Christopher, Rudel, Ruthann A.
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 17.01.2019
BioMed Central
BMC
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Abstract Low-income and minority communities often face disproportionately high pollutant exposures. The lead crisis in Flint, Michigan, has sparked concern about broader socioeconomic disparities in exposures to drinking water contaminants. Nitrate is commonly found in drinking water, especially in agricultural regions, and epidemiological evidence suggests elevated risk of cancer and birth defects at levels below U.S. EPA's drinking water standard (10 mg/L NO -N). However, there have been no nationwide assessments of socioeconomic disparities in exposures to nitrate or other contaminants in U.S. drinking water. The goals of this study are to identify determinants of nitrate concentrations in U.S. community water systems (CWSs) and to evaluate disparities related to wealth or race/ethnicity. We compiled nitrate data from 39,466 U.S. CWSs for 2010-2014. We used EPA's Safe Drinking Water Information System (SDWIS) to compile CWS characteristics and linked this information with both city- and county-level demographic data gathered from the U.S. Census Bureau. After applying multiple imputation methods to address censored nitrate concentration data, we conducted mixed-effects multivariable regression analyses at national and regional scales. 5.6 million Americans are served by a CWS that had an average nitrate concentration ≥ 5 mg/L NO -N between 2010 and 2014. Extent of agricultural land use and reliance on groundwater sources were significantly associated with nitrate. The percent of Hispanic residents served by each system was significantly associated with nitrate even after accounting for county-level cropland and livestock production, and CWSs in the top quartile of percent Hispanic residents exceeded 5 mg/L nearly three times as often as CWSs serving the lowest quartile. By contrast, the percent of residents living in poverty and percent African American residents were both inversely associated with nitrate. Epidemiological evidence for health effects associated with drinking water above 5 mg/L NO -N raises concerns about increased risk for the 5.6 million Americans served by public water supplies with average nitrate concentrations above this level. The associations we observed between nitrate concentrations and proportions of Hispanic residents support the need for improved efforts to assist vulnerable communities in addressing contamination and protecting source waters. Future studies can extend our methods to evaluate disparities in exposures to other contaminants and links to health effects.
AbstractList Low-income and minority communities often face disproportionately high pollutant exposures. The lead crisis in Flint, Michigan, has sparked concern about broader socioeconomic disparities in exposures to drinking water contaminants. Nitrate is commonly found in drinking water, especially in agricultural regions, and epidemiological evidence suggests elevated risk of cancer and birth defects at levels below U.S. EPA's drinking water standard (10 mg/L NO -N). However, there have been no nationwide assessments of socioeconomic disparities in exposures to nitrate or other contaminants in U.S. drinking water. The goals of this study are to identify determinants of nitrate concentrations in U.S. community water systems (CWSs) and to evaluate disparities related to wealth or race/ethnicity. We compiled nitrate data from 39,466 U.S. CWSs for 2010-2014. We used EPA's Safe Drinking Water Information System (SDWIS) to compile CWS characteristics and linked this information with both city- and county-level demographic data gathered from the U.S. Census Bureau. After applying multiple imputation methods to address censored nitrate concentration data, we conducted mixed-effects multivariable regression analyses at national and regional scales. 5.6 million Americans are served by a CWS that had an average nitrate concentration ≥ 5 mg/L NO -N between 2010 and 2014. Extent of agricultural land use and reliance on groundwater sources were significantly associated with nitrate. The percent of Hispanic residents served by each system was significantly associated with nitrate even after accounting for county-level cropland and livestock production, and CWSs in the top quartile of percent Hispanic residents exceeded 5 mg/L nearly three times as often as CWSs serving the lowest quartile. By contrast, the percent of residents living in poverty and percent African American residents were both inversely associated with nitrate. Epidemiological evidence for health effects associated with drinking water above 5 mg/L NO -N raises concerns about increased risk for the 5.6 million Americans served by public water supplies with average nitrate concentrations above this level. The associations we observed between nitrate concentrations and proportions of Hispanic residents support the need for improved efforts to assist vulnerable communities in addressing contamination and protecting source waters. Future studies can extend our methods to evaluate disparities in exposures to other contaminants and links to health effects.
Abstract Background Low-income and minority communities often face disproportionately high pollutant exposures. The lead crisis in Flint, Michigan, has sparked concern about broader socioeconomic disparities in exposures to drinking water contaminants. Nitrate is commonly found in drinking water, especially in agricultural regions, and epidemiological evidence suggests elevated risk of cancer and birth defects at levels below U.S. EPA’s drinking water standard (10 mg/L NO3-N). However, there have been no nationwide assessments of socioeconomic disparities in exposures to nitrate or other contaminants in U.S. drinking water. The goals of this study are to identify determinants of nitrate concentrations in U.S. community water systems (CWSs) and to evaluate disparities related to wealth or race/ethnicity. Methods We compiled nitrate data from 39,466 U.S. CWSs for 2010–2014. We used EPA’s Safe Drinking Water Information System (SDWIS) to compile CWS characteristics and linked this information with both city- and county-level demographic data gathered from the U.S. Census Bureau. After applying multiple imputation methods to address censored nitrate concentration data, we conducted mixed-effects multivariable regression analyses at national and regional scales. Results 5.6 million Americans are served by a CWS that had an average nitrate concentration ≥ 5 mg/L NO3-N between 2010 and 2014. Extent of agricultural land use and reliance on groundwater sources were significantly associated with nitrate. The percent of Hispanic residents served by each system was significantly associated with nitrate even after accounting for county-level cropland and livestock production, and CWSs in the top quartile of percent Hispanic residents exceeded 5 mg/L nearly three times as often as CWSs serving the lowest quartile. By contrast, the percent of residents living in poverty and percent African American residents were both inversely associated with nitrate. Conclusions Epidemiological evidence for health effects associated with drinking water above 5 mg/L NO3-N raises concerns about increased risk for the 5.6 million Americans served by public water supplies with average nitrate concentrations above this level. The associations we observed between nitrate concentrations and proportions of Hispanic residents support the need for improved efforts to assist vulnerable communities in addressing contamination and protecting source waters. Future studies can extend our methods to evaluate disparities in exposures to other contaminants and links to health effects.
Low-income and minority communities often face disproportionately high pollutant exposures. The lead crisis in Flint, Michigan, has sparked concern about broader socioeconomic disparities in exposures to drinking water contaminants. Nitrate is commonly found in drinking water, especially in agricultural regions, and epidemiological evidence suggests elevated risk of cancer and birth defects at levels below U.S. EPA's drinking water standard (10 mg/L NO3-N). However, there have been no nationwide assessments of socioeconomic disparities in exposures to nitrate or other contaminants in U.S. drinking water. The goals of this study are to identify determinants of nitrate concentrations in U.S. community water systems (CWSs) and to evaluate disparities related to wealth or race/ethnicity.BACKGROUNDLow-income and minority communities often face disproportionately high pollutant exposures. The lead crisis in Flint, Michigan, has sparked concern about broader socioeconomic disparities in exposures to drinking water contaminants. Nitrate is commonly found in drinking water, especially in agricultural regions, and epidemiological evidence suggests elevated risk of cancer and birth defects at levels below U.S. EPA's drinking water standard (10 mg/L NO3-N). However, there have been no nationwide assessments of socioeconomic disparities in exposures to nitrate or other contaminants in U.S. drinking water. The goals of this study are to identify determinants of nitrate concentrations in U.S. community water systems (CWSs) and to evaluate disparities related to wealth or race/ethnicity.We compiled nitrate data from 39,466 U.S. CWSs for 2010-2014. We used EPA's Safe Drinking Water Information System (SDWIS) to compile CWS characteristics and linked this information with both city- and county-level demographic data gathered from the U.S. Census Bureau. After applying multiple imputation methods to address censored nitrate concentration data, we conducted mixed-effects multivariable regression analyses at national and regional scales.METHODSWe compiled nitrate data from 39,466 U.S. CWSs for 2010-2014. We used EPA's Safe Drinking Water Information System (SDWIS) to compile CWS characteristics and linked this information with both city- and county-level demographic data gathered from the U.S. Census Bureau. After applying multiple imputation methods to address censored nitrate concentration data, we conducted mixed-effects multivariable regression analyses at national and regional scales.5.6 million Americans are served by a CWS that had an average nitrate concentration ≥ 5 mg/L NO3-N between 2010 and 2014. Extent of agricultural land use and reliance on groundwater sources were significantly associated with nitrate. The percent of Hispanic residents served by each system was significantly associated with nitrate even after accounting for county-level cropland and livestock production, and CWSs in the top quartile of percent Hispanic residents exceeded 5 mg/L nearly three times as often as CWSs serving the lowest quartile. By contrast, the percent of residents living in poverty and percent African American residents were both inversely associated with nitrate.RESULTS5.6 million Americans are served by a CWS that had an average nitrate concentration ≥ 5 mg/L NO3-N between 2010 and 2014. Extent of agricultural land use and reliance on groundwater sources were significantly associated with nitrate. The percent of Hispanic residents served by each system was significantly associated with nitrate even after accounting for county-level cropland and livestock production, and CWSs in the top quartile of percent Hispanic residents exceeded 5 mg/L nearly three times as often as CWSs serving the lowest quartile. By contrast, the percent of residents living in poverty and percent African American residents were both inversely associated with nitrate.Epidemiological evidence for health effects associated with drinking water above 5 mg/L NO3-N raises concerns about increased risk for the 5.6 million Americans served by public water supplies with average nitrate concentrations above this level. The associations we observed between nitrate concentrations and proportions of Hispanic residents support the need for improved efforts to assist vulnerable communities in addressing contamination and protecting source waters. Future studies can extend our methods to evaluate disparities in exposures to other contaminants and links to health effects.CONCLUSIONSEpidemiological evidence for health effects associated with drinking water above 5 mg/L NO3-N raises concerns about increased risk for the 5.6 million Americans served by public water supplies with average nitrate concentrations above this level. The associations we observed between nitrate concentrations and proportions of Hispanic residents support the need for improved efforts to assist vulnerable communities in addressing contamination and protecting source waters. Future studies can extend our methods to evaluate disparities in exposures to other contaminants and links to health effects.
Low-income and minority communities often face disproportionately high pollutant exposures. The lead crisis in Flint, Michigan, has sparked concern about broader socioeconomic disparities in exposures to drinking water contaminants. Nitrate is commonly found in drinking water, especially in agricultural regions, and epidemiological evidence suggests elevated risk of cancer and birth defects at levels below U.S. EPA's drinking water standard (10 mg/L NO.sub.3-N). However, there have been no nationwide assessments of socioeconomic disparities in exposures to nitrate or other contaminants in U.S. drinking water. The goals of this study are to identify determinants of nitrate concentrations in U.S. community water systems (CWSs) and to evaluate disparities related to wealth or race/ethnicity. We compiled nitrate data from 39,466 U.S. CWSs for 2010-2014. We used EPA's Safe Drinking Water Information System (SDWIS) to compile CWS characteristics and linked this information with both city- and county-level demographic data gathered from the U.S. Census Bureau. After applying multiple imputation methods to address censored nitrate concentration data, we conducted mixed-effects multivariable regression analyses at national and regional scales. 5.6 million Americans are served by a CWS that had an average nitrate concentration [greater than or equai to] 5 mg/L NO.sub.3-N between 2010 and 2014. Extent of agricultural land use and reliance on groundwater sources were significantly associated with nitrate. The percent of Hispanic residents served by each system was significantly associated with nitrate even after accounting for county-level cropland and livestock production, and CWSs in the top quartile of percent Hispanic residents exceeded 5 mg/L nearly three times as often as CWSs serving the lowest quartile. By contrast, the percent of residents living in poverty and percent African American residents were both inversely associated with nitrate. Epidemiological evidence for health effects associated with drinking water above 5 mg/L NO.sub.3-N raises concerns about increased risk for the 5.6 million Americans served by public water supplies with average nitrate concentrations above this level. The associations we observed between nitrate concentrations and proportions of Hispanic residents support the need for improved efforts to assist vulnerable communities in addressing contamination and protecting source waters. Future studies can extend our methods to evaluate disparities in exposures to other contaminants and links to health effects.
Background Low-income and minority communities often face disproportionately high pollutant exposures. The lead crisis in Flint, Michigan, has sparked concern about broader socioeconomic disparities in exposures to drinking water contaminants. Nitrate is commonly found in drinking water, especially in agricultural regions, and epidemiological evidence suggests elevated risk of cancer and birth defects at levels below U.S. EPA's drinking water standard (10 mg/L NO.sub.3-N). However, there have been no nationwide assessments of socioeconomic disparities in exposures to nitrate or other contaminants in U.S. drinking water. The goals of this study are to identify determinants of nitrate concentrations in U.S. community water systems (CWSs) and to evaluate disparities related to wealth or race/ethnicity. Methods We compiled nitrate data from 39,466 U.S. CWSs for 2010-2014. We used EPA's Safe Drinking Water Information System (SDWIS) to compile CWS characteristics and linked this information with both city- and county-level demographic data gathered from the U.S. Census Bureau. After applying multiple imputation methods to address censored nitrate concentration data, we conducted mixed-effects multivariable regression analyses at national and regional scales. Results 5.6 million Americans are served by a CWS that had an average nitrate concentration [greater than or equai to] 5 mg/L NO.sub.3-N between 2010 and 2014. Extent of agricultural land use and reliance on groundwater sources were significantly associated with nitrate. The percent of Hispanic residents served by each system was significantly associated with nitrate even after accounting for county-level cropland and livestock production, and CWSs in the top quartile of percent Hispanic residents exceeded 5 mg/L nearly three times as often as CWSs serving the lowest quartile. By contrast, the percent of residents living in poverty and percent African American residents were both inversely associated with nitrate. Conclusions Epidemiological evidence for health effects associated with drinking water above 5 mg/L NO.sub.3-N raises concerns about increased risk for the 5.6 million Americans served by public water supplies with average nitrate concentrations above this level. The associations we observed between nitrate concentrations and proportions of Hispanic residents support the need for improved efforts to assist vulnerable communities in addressing contamination and protecting source waters. Future studies can extend our methods to evaluate disparities in exposures to other contaminants and links to health effects. Keywords: Agricultural pollution, Community water systems, Disparities, Drinking water, Environmental justice, Exposure, Land use, Nitrate, Safe Drinking Water Act, Water quality
ArticleNumber 3
Audience Academic
Author Swetschinski, Lucien
Campbell, Christopher
Rudel, Ruthann A.
Schaider, Laurel A.
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  surname: Swetschinski
  fullname: Swetschinski, Lucien
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  givenname: Christopher
  surname: Campbell
  fullname: Campbell, Christopher
– sequence: 4
  givenname: Ruthann A.
  surname: Rudel
  fullname: Rudel, Ruthann A.
BackLink https://www.ncbi.nlm.nih.gov/pubmed/30651108$$D View this record in MEDLINE/PubMed
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Cites_doi 10.1016/j.scitotenv.2015.12.081
10.5942/jawwa.2017.109.0128
10.1097/00043764-200104000-00016
10.1021/es060911u
10.1289/EHP191
10.2105/AJPH.2015.303003
10.1186/1476-069X-11-84
10.1289/ehp.1002878
10.1080/09640560601156433
10.5942/jawwa.2016.108.0093
10.1097/01.ede.0000091605.01334.d3
10.1186/1476-069X-11-6
10.2105/AJPH.2011.300189
10.2105/AJPH.2013.301664
10.1002/ijc.25650
10.1080/15287390601171801
10.1002/ijc.30083
10.1016/j.ecolecon.2008.12.010
10.1016/j.envres.2016.10.022
10.1890/110216
10.1016/j.scitotenv.2007.04.020
10.1111/j.1465-7287.2009.00150.x
10.1016/j.envres.2012.12.007
10.1097/EDE.0000000000000647
10.1021/acs.est.7b04269
10.1002/9780470316696
10.1016/j.ijindorg.2006.11.001
10.1289/ehp.7199
10.1111/0022-4537.00184
10.3390/ijerph110201803
10.1016/j.scitotenv.2013.08.067
10.1289/ehp.1206249
10.1097/EDE.0b013e3181d6201d
10.1016/j.watres.2004.07.026
10.1016/j.envpol.2015.08.046
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Issue 1
Keywords Safe Drinking Water Act
Drinking water
Agricultural pollution
Nitrate
Community water systems
Water quality
Disparities
Exposure
Environmental justice
Land use
Language English
License Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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References C Balazs (442_CR6) 2011; 119
B Aschebrook-Kilfoy (442_CR32) 2012; 11
CL Balazs (442_CR11) 2014; 104
BA Kilfoy (442_CR22) 2011; 129
RD Bullard (442_CR3) 2000; 56
N Espejo-Herrera (442_CR24) 2016; 139
RR Jones (442_CR25) 2017; 28
MJ Pennino (442_CR14) 2017; 51
R Core (442_CR44) 2017
442_CR48
C Heaney (442_CR13) 2011; 74
J Bukowski (442_CR29) 2001; 43
BM Baden (442_CR10) 2007; 50
AJ Roos De (442_CR23) 2003; 14
Agency for Toxic Substances and Disease Registry (ATSDR) (442_CR33) 2017
D Stone (442_CR5) 2007; 382
FT Wakida (442_CR45) 2005; 39
T Rahman (442_CR46) 2010; 28
JD Brender (442_CR27) 2013; 121
442_CR39
BT Nolan (442_CR49) 2006; 40
LA Schaider (442_CR17) 2016; 547
HF Chiu (442_CR19) 2007; 70
442_CR40
D Switzer (442_CR8) 2017; 109
U.S. Census Bureau (442_CR38) 2011
MH Ward (442_CR21) 2010; 21
M Hanna-Attisha (442_CR2) 2016; 106
U.S. Environmental Protection Agency (US EPA) (442_CR34) 2017
J VanDerslice (442_CR41) 2011; 101
I Delpla (442_CR4) 2015; 207
S Wallsten (442_CR47) 2008; 26
DJ Sobota (442_CR36) 2013; 11
Washington State Departments of Agriculture Ecology and Health, Yakima County Public Works Department, U.S. Environmental Protection Agency (442_CR51) 2010
NM Dubrovsky (442_CR15) 2010
International Agency for Research on Cancer (IARC) (442_CR31) 2010
CL Balazs (442_CR7) 2012; 11
L Knobeloch (442_CR50) 2013; 75
DC Cory (442_CR9) 2009; 68
RR Jones (442_CR20) 2016; 124
V Migeot (442_CR28) 2013; 122
442_CR18
LT Stayner (442_CR30) 2017; 152
JH Lubin (442_CR42) 2004; 112
CE Holtby (442_CR26) 2014; 11
D Switzer (442_CR12) 2016; 108
442_CR1
U.S. Environmental Protection Agency (U.S. EPA) (442_CR37) 2016
U.S. Department of Labor (442_CR35) 2016
LA Schaider (442_CR16) 2014; 468
DB Rubin (442_CR43) 1987
References_xml – volume: 547
  start-page: 470
  year: 2016
  ident: 442_CR17
  publication-title: Sci Total Environ
  doi: 10.1016/j.scitotenv.2015.12.081
– volume: 109
  start-page: 40
  issue: 9
  year: 2017
  ident: 442_CR8
  publication-title: J Am Water Works Assoc
  doi: 10.5942/jawwa.2017.109.0128
– volume: 74
  start-page: 8
  issue: 1
  year: 2011
  ident: 442_CR13
  publication-title: J Environ Health
– volume: 43
  start-page: 377
  issue: 4
  year: 2001
  ident: 442_CR29
  publication-title: J Occup Environ Med
  doi: 10.1097/00043764-200104000-00016
– volume: 40
  start-page: 7834
  issue: 24
  year: 2006
  ident: 442_CR49
  publication-title: Environ Sci Technol
  doi: 10.1021/es060911u
– volume: 124
  start-page: 1751
  issue: 11
  year: 2016
  ident: 442_CR20
  publication-title: Environ Health Perspect
  doi: 10.1289/EHP191
– volume: 106
  start-page: 283
  issue: 2
  year: 2016
  ident: 442_CR2
  publication-title: Am J Public Health
  doi: 10.2105/AJPH.2015.303003
– volume: 11
  start-page: 84
  year: 2012
  ident: 442_CR7
  publication-title: Environ Health
  doi: 10.1186/1476-069X-11-84
– volume: 119
  start-page: 1272
  issue: 9
  year: 2011
  ident: 442_CR6
  publication-title: Environ Health Perspect
  doi: 10.1289/ehp.1002878
– ident: 442_CR18
– volume: 50
  start-page: 163
  issue: 2
  year: 2007
  ident: 442_CR10
  publication-title: J Environ Plan Manag
  doi: 10.1080/09640560601156433
– volume: 108
  start-page: E416
  issue: 8
  year: 2016
  ident: 442_CR12
  publication-title: J Am Water Works Assoc
  doi: 10.5942/jawwa.2016.108.0093
– volume: 14
  start-page: 640
  issue: 6
  year: 2003
  ident: 442_CR23
  publication-title: Epidemiology
  doi: 10.1097/01.ede.0000091605.01334.d3
– volume: 11
  start-page: 6
  year: 2012
  ident: 442_CR32
  publication-title: Environ Health
  doi: 10.1186/1476-069X-11-6
– volume-title: 2010 Census Summary File 1, Urban and Rural Housing Units (H2)
  year: 2011
  ident: 442_CR38
– volume: 101
  start-page: S109
  issue: Suppl 1
  year: 2011
  ident: 442_CR41
  publication-title: Am J Public Health
  doi: 10.2105/AJPH.2011.300189
– volume-title: Team: R: a language and environment for statistical computing
  year: 2017
  ident: 442_CR44
– volume: 104
  start-page: 603
  issue: 4
  year: 2014
  ident: 442_CR11
  publication-title: Am J Public Health
  doi: 10.2105/AJPH.2013.301664
– volume-title: Toxicological Profile for Nitrate and NitriteAtlanta, GA: U.S. Department of Health and Human Services, Public Health Service
  year: 2017
  ident: 442_CR33
– ident: 442_CR40
– volume: 75
  start-page: 16
  issue: 7
  year: 2013
  ident: 442_CR50
  publication-title: J Environ Health
– ident: 442_CR48
– volume: 129
  start-page: 160
  issue: 1
  year: 2011
  ident: 442_CR22
  publication-title: Int J Cancer
  doi: 10.1002/ijc.25650
– volume: 70
  start-page: 1000
  issue: 12
  year: 2007
  ident: 442_CR19
  publication-title: J Toxicol Environ Health A
  doi: 10.1080/15287390601171801
– volume: 139
  start-page: 334
  issue: 2
  year: 2016
  ident: 442_CR24
  publication-title: Int J Cancer
  doi: 10.1002/ijc.30083
– volume: 68
  start-page: 1825
  issue: 6
  year: 2009
  ident: 442_CR9
  publication-title: Ecol Econ
  doi: 10.1016/j.ecolecon.2008.12.010
– volume: 152
  start-page: 294
  year: 2017
  ident: 442_CR30
  publication-title: Environ Res
  doi: 10.1016/j.envres.2016.10.022
– volume: 11
  start-page: 82
  issue: 2
  year: 2013
  ident: 442_CR36
  publication-title: Front Ecol Environ
  doi: 10.1890/110216
– volume: 382
  start-page: 52
  issue: 1
  year: 2007
  ident: 442_CR5
  publication-title: Sci Total Environ
  doi: 10.1016/j.scitotenv.2007.04.020
– volume-title: Circular 1350
  year: 2010
  ident: 442_CR15
– volume: 28
  start-page: 264
  issue: 2
  year: 2010
  ident: 442_CR46
  publication-title: Contemp Econ Policy
  doi: 10.1111/j.1465-7287.2009.00150.x
– volume: 122
  start-page: 58
  year: 2013
  ident: 442_CR28
  publication-title: Environ Res
  doi: 10.1016/j.envres.2012.12.007
– volume: 28
  start-page: 703
  issue: 5
  year: 2017
  ident: 442_CR25
  publication-title: Epidemiology
  doi: 10.1097/EDE.0000000000000647
– volume-title: Research Report No 12
  year: 2016
  ident: 442_CR35
– ident: 442_CR39
– volume: 51
  start-page: 13450
  issue: 22
  year: 2017
  ident: 442_CR14
  publication-title: Environ Sci Technol
  doi: 10.1021/acs.est.7b04269
– volume-title: Multiple imputation for nonresponse in surveys
  year: 1987
  ident: 442_CR43
  doi: 10.1002/9780470316696
– volume: 26
  start-page: 186
  issue: 1
  year: 2008
  ident: 442_CR47
  publication-title: Int J Ind Organ
  doi: 10.1016/j.ijindorg.2006.11.001
– ident: 442_CR1
– volume: 112
  start-page: 1691
  issue: 17
  year: 2004
  ident: 442_CR42
  publication-title: Environ Health Perspect
  doi: 10.1289/ehp.7199
– volume: 56
  start-page: 555
  issue: 3
  year: 2000
  ident: 442_CR3
  publication-title: J Soc Issues
  doi: 10.1111/0022-4537.00184
– volume: 11
  start-page: 1803
  issue: 2
  year: 2014
  ident: 442_CR26
  publication-title: Int J Environ Res Public Health
  doi: 10.3390/ijerph110201803
– volume: 468
  start-page: 384
  year: 2014
  ident: 442_CR16
  publication-title: Sci Total Environ
  doi: 10.1016/j.scitotenv.2013.08.067
– volume: 121
  start-page: 1083
  issue: 9
  year: 2013
  ident: 442_CR27
  publication-title: Environ Health Perspect
  doi: 10.1289/ehp.1206249
– volume: 21
  start-page: 389
  issue: 3
  year: 2010
  ident: 442_CR21
  publication-title: Epidemiology
  doi: 10.1097/EDE.0b013e3181d6201d
– volume: 39
  start-page: 3
  issue: 1
  year: 2005
  ident: 442_CR45
  publication-title: Water Res
  doi: 10.1016/j.watres.2004.07.026
– volume-title: Draft: IRIS Assessment Plan for Nitrate and Nitrite. EPA/635/R-17/331
  year: 2017
  ident: 442_CR34
– volume-title: Ecology publication no. 10-10-009. Olympia, WA
  year: 2010
  ident: 442_CR51
– volume-title: IARC monographs on the evaluation of carcinogenic risks to humans. Volume 94: ingested nitrate and nitrite, and cyanobacterial peptide ToxinsLyon
  year: 2010
  ident: 442_CR31
– volume-title: SDWIS application programming Interface model
  year: 2016
  ident: 442_CR37
– volume: 207
  start-page: 88
  year: 2015
  ident: 442_CR4
  publication-title: Environ Pollut
  doi: 10.1016/j.envpol.2015.08.046
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Snippet Low-income and minority communities often face disproportionately high pollutant exposures. The lead crisis in Flint, Michigan, has sparked concern about...
Background Low-income and minority communities often face disproportionately high pollutant exposures. The lead crisis in Flint, Michigan, has sparked concern...
Abstract Background Low-income and minority communities often face disproportionately high pollutant exposures. The lead crisis in Flint, Michigan, has sparked...
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SubjectTerms African Americans
Agricultural pollution
Analysis
Community water systems
Disparities
Drinking water
Drinking Water - analysis
Drinking Water - standards
Environmental aspects
Environmental justice
Exposure
Health aspects
Hispanic Americans
Humans
Nitrates
Nitrates - analysis
Nitrates - standards
Social Justice
Socioeconomic Factors
United States
Water Pollutants, Chemical - analysis
Water Pollutants, Chemical - standards
Water pollution
Water Quality - standards
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Title Environmental justice and drinking water quality: are there socioeconomic disparities in nitrate levels in U.S. drinking water?
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