ArticlePDF Available

A Retrospective Chart Review Evaluating the Relationship between Cancer Diagnosis and Residential Water Source on the Lower Eastern Shore of Maryland, USA

MDPI
International Journal of Environmental Research and Public Health (IJERPH)
Authors:

Abstract and Figures

Well water contamination in heavily agricultural regions has previously been linked with increased cancer incidence and mortality. The lower Eastern shore of Maryland is a rural, agricultural region with some of the highest rates of cancer in Maryland and the United States. Our study sought to characterize residential private well water use among cancer patients on the lower Eastern shore of Maryland, and to compare private well water utilization between cancer patients and the general regional population. Retrospective chart review was conducted to identify patients diagnosed with colon, lung, melanoma or breast cancer at a regional hospital from 1 January 2017 through 31 December 2018. Residential water source was determined using residential address and municipal water records. Fisher’s exact test was used to compare residential private well water utilization between our study population and the baseline regional population. The majority of cancer patients (57%) lived in homes supplied by private well water (428/746). Cancer patients were more likely to live in homes supplied by private well water compared to individuals in the general regional population (57% vs. 32%, p < 0.001). In conclusion, cancer patients on the lower Eastern shore of Maryland were more likely to live in homes supplied by residential private well water than the regional population. Additional studies are needed to evaluate well water use and cancer risk in this vulnerable region.
Content may be subject to copyright.
International Journal of
Environmental Research
and Public Health
Article
A Retrospective Chart Review Evaluating the Relationship
between Cancer Diagnosis and Residential Water Source on the
Lower Eastern Shore of Maryland, USA
Angela DeRidder 1, * , Sowjanya Kalluri 2and Veera Holdai 3


Citation: DeRidder, A.; Kalluri, S.;
Holdai, V. A Retrospective Chart
Review Evaluating the Relationship
between Cancer Diagnosis and
Residential Water Source on the
Lower Eastern Shore of Maryland,
USA. Int. J. Environ. Res. Public Health
2021,18, 145. https://doi.org/
10.3390/ijerph18010145
Received: 9 November 2020
Accepted: 26 December 2020
Published: 28 December 2020
Publisher’s Note: MDPI stays neu-
tral with regard to jurisdictional claims
in published maps and institutional
affiliations.
Copyright: © 2020 by the authors. Li-
censeeMDPI, Basel, Switzerland. This
articleis an open accessarticle distributed
under the terms and conditions of the
Creative CommonsAttribution(CC BY)
license(https://creativecommons.org/
licenses/by/4.0/).
1Department of Hematology and Oncology, TidalHealth Peninsula Regional, 100 E. Carroll St.,
Salisbury, MD 21801, USA
2Department of Internal Medicine, TidalHealth Peninsula Regional, 100 E. Carroll St.,
Salisbury, MD 21801, USA; sowjanyakalluri2@gmail.com
3Department of Math and Computer Science, Salisbury University, 1101 Camden Ave,
Salisbury, MD 21801, USA; VXholdai@salisbury.edu
*Correspondence: angela.deridder@peninsula.org; Tel.: +1-410-749-1282; Fax: +1-410-749-7821
Abstract:
Well water contamination in heavily agricultural regions has previously been linked with
increased cancer incidence and mortality. The lower Eastern shore of Maryland is a rural, agricultural
region with some of the highest rates of cancer in Maryland and the United States. Our study
sought to characterize residential private well water use among cancer patients on the lower Eastern
shore of Maryland, and to compare private well water utilization between cancer patients and the
general regional population. Retrospective chart review was conducted to identify patients diagnosed
with colon, lung, melanoma or breast cancer at a regional hospital from 1 January 2017 through
31 December 2018. Residential water source was determined using residential address and municipal
water records. Fisher’s exact test was used to compare residential private well water utilization
between our study population and the baseline regional population. The majority of cancer patients
(57%) lived in homes supplied by private well water (428/746). Cancer patients were more likely
to live in homes supplied by private well water compared to individuals in the general regional
population (57% vs. 32%, p< 0.001). In conclusion, cancer patients on the lower Eastern shore of
Maryland were more likely to live in homes supplied by residential private well water than the
regional population. Additional studies are needed to evaluate well water use and cancer risk in this
vulnerable region.
Keywords:
drinking water; groundwater contamination; cancer risk; rural health; agricultural pollution
1. Introduction
Per the Environmental Protection Agency (EPA), it is estimated that more than 13 mil-
lion households rely on private wells for drinking water in the United States (U.S.) [
1
].
However, drinking water from private wells can pose potential health hazards. The EPA
does not regulate private wells, and routine testing of private wells is voluntary and per
the owner’s discretion [
2
]. Private well owners are therefore responsible for the safety of
their own water supply.
As of 2018, the EPA recommends testing private wells annually for coliform bacteria,
nitrates, total dissolved solids, and pH levels [
2
]. In addition, well owners should determine
whether ground water supplying their private well is under direct influence from surface
water. Substances such as nitrates/nitrites, arsenic, and organic chemicals can contaminate
private wells through groundwater movement and surface water runoff [
3
]. Also known
as non-point source pollution, surface water runoff is particularly concerning in heavily
agricultural regions. Due to the common use of fertilizers and pesticides/herbicides, and
the presence of animal waste and by-products, agricultural non-point source pollution is a
leading cause of impaired water quality and ground water contamination in the U.S. [
4
,
5
].
Int. J. Environ. Res. Public Health 2021,18, 145. https://doi.org/10.3390/ijerph18010145 https://www.mdpi.com/journal/ijerph
Int. J. Environ. Res. Public Health 2021,18, 145 2 of 13
Ground water contamination from agricultural sources can adversely affect human
health in multiple ways. Elevated arsenic exposure in drinking water is associated with
increased risk of skin, lung and bladder cancer [
6
,
7
]. Similarly, long term-exposure to
nitrites and nitrates in drinking water has been associated with increased risk of colon
cancer and breast cancer in certain patient populations [
8
10
]. Organic chemicals have
been linked to a number of adverse effects on human health, including breast cancer [
11
].
While these contaminants can come from naturally occurring sources, such as arsenic
deposits and wildlife waste products, studies have also shown that these potentially
carcinogenic contaminants are found in a number of common agricultural byproducts
and applications [
12
,
13
]. Rural, agricultural regions may therefore be at higher risk for
groundwater contamination and its potential health implications.
The lower Eastern shore of Maryland lies on the east side of the Chesapeake Bay and
consists of Wicomico, Worcester and Somerset counties (Figure 1). The main economic
activities for this rural region include agriculture and large-scale chicken breeding. In
2014, Maryland ranked ninth among all states in the nation in broiler chicken production,
with Wicomico, Worcester and Somerset counties being the top three producers of poultry
and eggs within the state [
14
17
]. Approximately 600 million chickens are produced
yearly between the lower Eastern shore of Maryland and the nearby county of Sussex,
Delaware [
18
]. Per the EPA, these birds produce approximately 5.7 billion pounds of
manure annually, contributing around 5 million pounds of nitrogen to local waterways per
year. Combined with other agricultural sources on the lower Eastern shore, these farms,
also known as animal feeding operations (AFOs), add a total of 119 million pounds of
nitrogen pollution to the Chesapeake Bay on an annual basis. Given this documented
contamination of local waterways by agricultural non-point source pollution, the economic
activities prevalent on the lower Eastern shore of Maryland raise concern over the risk for
ground water contamination in this region.
Int. J. Environ. Res. Public Health 2021, 18, x 2 of 13
in heavily agricultural regions. Due to the common use of fertilizers and pesticides/herb-
icides, and the presence of animal waste and by-products, agricultural non-point source
pollution is a leading cause of impaired water quality and ground water contamination
in the U.S. [4,5].
Ground water contamination from agricultural sources can adversely affect human
health in multiple ways. Elevated arsenic exposure in drinking water is associated with
increased risk of skin, lung and bladder cancer [6,7]. Similarly, long term-exposure to ni-
trites and nitrates in drinking water has been associated with increased risk of colon can-
cer and breast cancer in certain patient populations [8–10]. Organic chemicals have been
linked to a number of adverse effects on human health, including breast cancer [11]. While
these contaminants can come from naturally occurring sources, such as arsenic deposits
and wildlife waste products, studies have also shown that these potentially carcinogenic
contaminants are found in a number of common agricultural byproducts and applications
[12,13]. Rural, agricultural regions may therefore be at higher risk for groundwater con-
tamination and its potential health implications.
The lower Eastern shore of Maryland lies on the east side of the Chesapeake Bay and
consists of Wicomico, Worcester and Somerset counties (Figure 1). The main economic
activities for this rural region include agriculture and large-scale chicken breeding. In
2014, Maryland ranked ninth among all states in the nation in broiler chicken production,
with Wicomico, Worcester and Somerset counties being the top three producers of poultry
and eggs within the state [14–17]. Approximately 600 million chickens are produced
yearly between the lower Eastern shore of Maryland and the nearby county of Sussex,
Delaware [18]. Per the EPA, these birds produce approximately 5.7 billion pounds of ma-
nure annually, contributing around 5 million pounds of nitrogen to local waterways per
year. Combined with other agricultural sources on the lower Eastern shore, these farms,
also known as animal feeding operations (AFOs), add a total of 119 million pounds of
nitrogen pollution to the Chesapeake Bay on an annual basis. Given this documented con-
tamination of local waterways by agricultural non-point source pollution, the economic
activities prevalent on the lower Eastern shore of Maryland raise concern over the risk for
ground water contamination in this region.
Figure 1. The lower Eastern shore of Maryland, U.S. Image created by MRamadhon and repro-
duced with permission.
Figure 1. The lower Eastern shore of Maryland, U.S. Image created by MRamadhon and reproduced with permission.
Local groundwater research suggests that these concerns may have merit. The U.S.
Geological Survey (USGS) National Water-Quality Assessment Program measured concen-
trations of pesticides and herbicides in samples collected from 2001 to 2004 from 47 wells in
Maryland, 16 of which were located on the Eastern shore [
19
]. Twenty-four out of 30 sam-
Int. J. Environ. Res. Public Health 2021,18, 145 3 of 13
ples (80%) from the Eastern shore contained at least 1 detectable pesticide or degradate
compound, and 16 (53%) contained at least 5 detectable compounds, with the majority
of detected compounds being herbicides used for agriculture. One sample contained
11 different compounds. While no sample contained any pesticide or herbicide compounds
at concentrations exceeding established Federal drinking water standards, such standards
exist for only 4 out of all compounds detected (see supplemental data, Table S1 for list of
detected compounds). More recently, researchers Minovi and Schmitt assessed private
well water data from Wicomico and Worcester Counties to determine the extent of nitrate
contamination on the lower Eastern shore. The researchers concluded that Wicomico and
Worcester Counties have detected nitrates at levels exceeding the EPA’s safe drinking water
threshold in approximately one out of every 25 private drinking water wells [20].
Cancer statistics for the lower Eastern shore of Maryland are also high. According
to the U.S. Surveillance, Epidemiology, and End Results (SEER) database, Wicomico,
Worcester, and Somerset counties have some of the highest rates of lung cancer, colorectal
cancer, breast cancer, and melanoma in Maryland [
21
]. Wicomico and Somerset counties all
sites cancer incidence rates from 2007 to 2011 were >25% above national rates, and all sites
cancer incidence rates in Worcester county were 10–25% above national rates. In addition,
the mortality rates for several types of cancers, including lung and colon cancer, are higher
in Wicomico, Somerset and Worcester counties compared to national rates, suggesting
more advanced disease at time of diagnosis.
Given the high incidence of several cancer types, the potential for ground water
contamination, and the popularity of private well water use in this rural region, evaluating
the relationship between cancer diagnosis and water source on the lower Eastern shore
bears consideration. The purpose of this exploratory study was to characterize residential
water source among patients on the lower Eastern shore of Maryland with a known
diagnosis of melanoma, lung, breast, or colorectal cancer, and to determine characteristics,
such as more advanced cancer stage, that might be associated with private well water use.
We also compared residential private well water use among cancer patients in our study to
private well water use for the general regional population.
2. Materials and Methods
2.1. Study Design
This study was approved through the Western Institutional Review Board. A retro-
spective chart review was conducted on all patients diagnosed with colon, lung, melanoma
or breast cancer at a regional hospital from 1 January 2017 through 31 December 2018. This
regional hospital serves as the largest hospital on the lower Eastern shore, with a catchment
area that spans Wicomico, Worcester and Somerset Counties, as well as Sussex County in
Delaware and Accomack County in Virginia. For most individuals living in these counties,
the closest alternative hospital is located at least an hour away, and for some individuals,
almost three hours away. While some individuals may seek subsequent or follow-up care
outside of this regional hospital, the geographic isolation of the lower Eastern shore ensures
that the majority of individuals living in this region seek initial diagnostic care locally. For
example, there were 511 newly diagnosed cases of colon, lung, melanoma or breast cancer
diagnosed in Wicomico, Worcester and Somerset Counties in the year 2016 [
21
]. According
to institutional cancer registries, approximately 90% of these cases were diagnosed at this
regional hospital [22].
Colon, lung, melanoma and breast cancers were selected for investigation because
the incidence or mortality of each of these cancers is reported to be >10% higher on the
lower Eastern shore compared to national rates [
21
]. Bladder cancer, a type of cancer
that has been linked to agricultural pollution by other studies, was not included in our
study due to low case numbers. Eligible patients were
18 years of age. Exclusion
criteria included insufficient chart documentation, residential address outside of Wicomico,
Worcester or Somerset counties, or atypical cancer diagnosis (angiosarcoma of the breast,
colonic neuroendocrine tumor, etc.).
Int. J. Environ. Res. Public Health 2021,18, 145 4 of 13
Age at time of cancer diagnosis, current residential address, sex, race and cancer type
were recorded. Cancer stage, as well as smoking history, family history and prior cancer
history were documented. Residential water supply was determined using the patient’s
residential address and municipal water records.
2.2. Regional Private Well Water Statistics
Regional private well water utilization was determined using 2010 U.S. Census data,
source water assessment documents for Wicomico, Worcester and Somerset Counties, as
well as the comprehensive water and sewer plan for each county [
23
34
]. To determine the
overall percentage of individuals on the lower Eastern shore who rely on residential private
well water, we combined the number of individuals in each county relying on private well
water and divided this by the total population for the region.
2.3. Data Analysis
Descriptive statistics were reported, including residential water supply for our total
study population and for our study population stratified by county. Rates of residential
private well water supply were compared between our study population and baseline
regional population using the chi-square or Fisher’s exact test. All tests were two-tailed
with a significance level of p< 0.05. Ability to control for confounding variables in our
current exploratory study was limited due to the study design. Factors such as age, sex,
and race were not controlled during our data analysis. We did evaluate the relationships
between residential water supply and age of cancer diagnosis, cancer type, cancer stage,
smoking history, family history and prior cancer history using Fisher ’s exact test.
3. Results
3.1. Patient Characteristics
A total of 1248 charts were reviewed. A total of 420 cases had a residential address
outside of Wicomico, Worcester and Somerset Counties (34%), and were therefore excluded
from analysis. A total of 48 cases were excluded from analysis due to insufficient data
(4%), 17 cases were excluded due to being duplicate cases (1%), and 17 cases were excluded
due to rare cancer/non-cancerous diagnosis (1%). A total of 746 cases were ultimately
eligible for analysis (60%). Baseline demographic characteristics and medical histories are
summarized in Table 1. Sixty percent of patients resided in Wicomico County and 80% of
patients self-identified as Caucasian. The median patient age was 67.2 years (SD
±
11.9).
The majority of patients were female (67%), diagnosed with breast cancer (40%), had early
stage cancer (63%), a prior or current smoking history (62%), a family history of cancer
(68%), and no prior cancer history (68%).
3.2. Cancer Patient Private Well Water Utilization
The majority of cancer patients on the lower Eastern shore of Maryland lived in homes
that relied on private well water (n= 428, 57%). At the county level, residential water
source varied (Table 2). In Wicomico County, 64% of cancer patients lived in homes that
relied on private well water (n= 285). In Worcester County, 41% of cancer patients lived in
homes that relied on private well water (n= 81), while in Somerset County, 60% of cancer
patients relied on residential private well water (n= 62).
Int. J. Environ. Res. Public Health 2021,18, 145 5 of 13
Table 1.
Demographics of Cancer Patients on the Lower Eastern Shore of Maryland; 1 January
2017–31 December 2018.
Characteristic n= 745 (%)
Well Water Use
Yes 428 (57)
No 317 (43)
County
Wicomico 444 (60)
Worcester 198 (27)
Somerset 103 (14)
Sex
Male 247 (33)
Female 498 (67)
Age (years)
60 209 (28)
61–70 241 (32)
71–80 197 (27)
81 86 (13)
Race
White 596 (80)
Black 134 (18)
Other 15 (2)
Diagnosis
Breast 297 (40)
Lung 260 (35)
Melanoma 106 (14)
Colon 82 (11)
Stage
Early 471 (63)
Advanced 273 (37)
Smoking History
Yes 462 (62)
No 283 (38)
Family History of Cancer
Yes 517 (69)
No 228 (31)
Prior History of Cancer
Yes 242 (32)
No 503 (68)
Table 2.
Residential Water Source for Cancer Patients on the Lower Eastern Shore by County; 1
January 2017–31 December 2018.
Characteristic n= 745 (%)
Water Source
Private Well Public Water
County
Wicomico 286 (64) 159 (36)
Worcester 81 (41) 117 (59)
Somerset 62 (60) 41 (40)
3.3. Regional Private Well Water Utilization
According to the 2010 U.S. Census, 98,733 individuals live in Wicomico County [
23
].
Approximately 68% of housing units in Wicomico County, or 67,138 individuals, are on
public or community water systems [
24
28
]. A total of 32 percent of housing units in
Wicomico County, or 31,595 individuals are on private individual well systems.
According to communications from the Worcester County Department of Environ-
mental Programs, anywhere between 67% and 80% of the 52,276 residents of Worcester
Int. J. Environ. Res. Public Health 2021,18, 145 6 of 13
County rely on public water systems [
29
33
]. For the purpose of this study, we estimated
that an average of 73% (38,161) of Worcester County residents rely on public water systems,
and 27% (14,115) rely on private well systems [23].
Somerset County is reported to have a population of 26,470 individuals [
23
]. The
county estimates that approximately 5223 dwellings, or 12,706 individuals, receive drinking
water from public municipal, county or community water systems (48%) [
34
,
35
]. Approx-
imately 5555 dwellings, or 13,764 individuals, rely on private, individual water systems
(52%).
With the three counties combined, we determined that 34% of individuals on the
lower Eastern shore of Maryland rely on residential private well water (59,474/177,479).
3.4. Comparison of Private Well Water Use between Populations
Our study found that on the lower Eastern shore of Maryland, cancer patients relied
on residential private well water more than individuals in the general regional population
(57% vs. 34%, p< 0.001) (Figure 2). Wicomico County cancer patients used residential
private well water more than the general Wicomico County population (64% vs. 32%,
p< 0.001
). Similarly, Worcester County cancer patients used residential private well water
more than the general Worcester County population (41% vs. 27%, p= 0.02). No significant
difference was found between residential private well water use for Somerset cancer
patients and the general Somerset County population.
Int. J. Environ. Res. Public Health 2021, 18, x 6 of 13
According to communications from the Worcester County Department of Environ-
mental Programs, anywhere between 67% and 80% of the 52,276 residents of Worcester
County rely on public water systems [29–33]. For the purpose of this study, we estimated
that an average of 73% (38,161) of Worcester County residents rely on public water sys-
tems, and 27% (14,115) rely on private well systems [23].
Somerset County is reported to have a population of 26,470 individuals [23]. The
county estimates that approximately 5223 dwellings, or 12,706 individuals, receive drink-
ing water from public municipal, county or community water systems (48%) [34,35]. Ap-
proximately 5555 dwellings, or 13,764 individuals, rely on private, individual water sys-
tems (52%).
With the three counties combined, we determined that 34% of individuals on the
lower Eastern shore of Maryland rely on residential private well water (59,474/177,479).
3.4. Comparison of Private Well Water Use between Populations
Our study found that on the lower Eastern shore of Maryland, cancer patients relied
on residential private well water more than individuals in the general regional population
(57% vs. 34%, p < 0.001) (Figure 2). Wicomico County cancer patients used residential pri-
vate well water more than the general Wicomico County population (64% vs. 32%, p <
0.001). Similarly, Worcester County cancer patients used residential private well water
more than the general Worcester County population (41% vs. 27%, p = 0.02). No significant
difference was found between residential private well water use for Somerset cancer pa-
tients and the general Somerset County population.
Figure 2. Residential private well water use for cancer patients compared to county population.
3.5. Private Well Water Use and Patient Factors
Patients diagnosed with cancer at 70 years of age were more likely to rely on resi-
dential private well water compared to patients diagnosed over the age of 70 (61% vs.
52%, p = 0.01). There were no differences in sex, race, or family, smoking or prior cancer
history between cancer patients using residential private well water versus public water
(Table 3).
0
10
20
30
40
50
60
70
Total Population Wicomico
County
Worcester
County
Somerset
County
Private Well Water Use (%)
Population
Cancer Patients
General County
Figure 2. Residential private well water use for cancer patients compared to county population.
3.5. Private Well Water Use and Patient Factors
Patients diagnosed with cancer at
70 years of age were more likely to rely on resi-
dential private well water compared to patients diagnosed over the age of 70 (
61% vs. 52%
,
p= 0.01). There were no differences in sex, race, or family, smoking or prior cancer history
between cancer patients using residential private well water versus public water (Table 3).
Int. J. Environ. Res. Public Health 2021,18, 145 7 of 13
Table 3.
Patient Demographics for Cancer Patients on the Lower Eastern Shore by Residential Water
Source; 1 January 2017–31 December 2018.
Characteristic n= 745 (%) p-Value
Water Source
Private Well Public
Sex
Male 151 (61) 95 (39) 0.13
Female 277 (56) 222 (44)
Age (years)
70 276 (63) 174 (37) 0.01
>70 152 (51) 143 (49)
Race
White 346 (58) 250 (42)
0.69 **
Black 75 (56) 59 (44)
Other * *
Diagnosis
Breast 160 (54) 137 (46)
0.03 **
Lung 143 (55) 117 (45)
Melanoma 69 (65) 37 (35)
Colon 56 (68) 26 (32)
Stage
Early 271 (57) 201 (43) 1.0
Advanced 157 (58) 116 (42)
Smoking History
Yes 257 (56) 205 (44) 0.22
No 171 (60) 112 (40)
Family History of Cancer
Yes 298 (58) 219 (42) 0.87
No 130 (57) 98 (43)
Prior History of Cancer
Yes 136 (56) 106 (44) 0.64
No 292 (58) 211 (42)
* Data suppressed to preserve patient privacy. ** Differences between patients relying on private well water and
public water were analyzed using Fisher’s exact test for all analyses except “Age” and “Diagnosis,” which were
analyzed using the chi-square test.
Cancer diagnosis type differed between patients relying on private well water versus
public water, with higher frequencies of colon cancer and melanoma patients relying on
private well water compared to patients diagnosed with breast and lung cancer.
Because secondary cancers can possibly be related to treatment toxicity from a previous
cancer, a sensitivity analysis was performed to restrict analyses to only cases lacking
a history of prior cancer diagnosis. Patient factors and residential water source were
analyzed. Patients diagnosed with cancer at
70 years of age were again more likely to
rely on residential private well water compared to patients diagnosed over the age of 70
(61% vs. 51%, p= 0.03). No new significant differences were noted in residential private
well water use between our original analysis and our sensitivity analysis.
4. Discussion
4.1. Cancer Patients and Residential Private Well Water Utilization
Approximately 38% of the U.S. population depends on groundwater for its drinking
water supply [
36
]. However, groundwater is susceptible to contamination. Due to the
common use of fertilizers and pesticides/herbicides, and the presence of animal waste
and by-products, agricultural non-point source pollution is a leading cause of impaired
water quality and ground water contamination in the U.S. Previous studies have confirmed
that in coastal watersheds, the amount of nitrate contamination found in groundwater is
related to the proportion of agricultural land [
36
]. Rural, agricultural regions are therefore
at higher risk for groundwater contamination and its potential health implications.
Int. J. Environ. Res. Public Health 2021,18, 145 8 of 13
The lower Eastern shore of Maryland is a rural, heavily agricultural region that has a
strong economic history of farming and large-scale chicken breeding. According to the EPA,
over 600 million chickens are produced yearly on the Eastern shore and the neighboring
county of Sussex, Delaware [
18
]. These birds, in turn, produce vast quantities of animal
by-products including nitrates/nitrites, ammonia, arsenic and phosphorus. Contamination
from these by-products has been shown to contribute to poor water quality of local surface
waters, which in turn raises concerns over groundwater pollution. In fact, prior research has
confirmed the presence of nitrates and agricultural pesticides in sampled well water from
across the Eastern shore. While a full review of the detected groundwater contaminants
on the Eastern shore is beyond the scope of this study, a brief list of contaminants previ-
ously detected by government agencies has been included in our supplemental data (see
Tables S2 and S3 [19,2428,3035]).
Our study found that 57% of cancer patients on the lower Eastern shore use residential
private well water, which is notably higher than the rate of private well water used
nationally (14%), the rate of private well water used in the overall state of Maryland
(19%), and the rate of private well water used by the lower Eastern shore population
in general (34%) [
1
,
36
]. Though interpretation of our findings was limited by lack of
causality, our study results were striking. Prior research has shown that proximity to farms
and animal feeding operations is associated with increased risk for private well water
contamination [
37
41
]. In addition, studies have shown that up to 50 percent of private
wells tested do not meet at least one federal health-based drinking water standard [
42
46
].
Given the known risk of private well contamination in agricultural regions, as well as the
known health implications of drinking contaminated well water, the association between
private well water use and cancer diagnosis in this region warrants further investigation.
At the county level, our study found that patients living in Wicomico County and
Worcester County relied on residential private well water more than general county statis-
tics. Interestingly, Somerset County had no significant difference in residential private
well water use between cancer patients and the general county population. This difference
may stem from inter-county variation in policies regarding groundwater safety or animal
feeding operations, and would need to be explored further in future studies.
Interestingly, our study found that cancer patients
70 years of age were more likely to
rely on residential private well water compared to patients over the age of 70. These results
should be interpreted with caution, as we did not control for potentially confounding
variables. However, it is well established that advancing age is a risk factor for cancer
development, while environmental exposure to carcinogenic materials can increase risk of
cancer development at younger ages [
47
49
]. The association between well water exposure
and younger age of cancer diagnosis in this region hints at a potentially carcinogenic
relationship between these two variables, and again supports the need for additional
studies examining the causality of private well water exposure and cancer risk in this
region.
Finally, we found that cancer patients relied on residential private well water differ-
ently depending on their cancer diagnosis. All patients, regardless of cancer type, relied
on residential private well water more than public water. However, colon cancer and
melanoma patients used residential well water at higher frequencies compared to breast
and lung cancer patients. Our ability to interpret these findings is limited though, given
that we did not control for potentially confounding variables. Factors such as county of
residence or age may account for these findings.
4.2. Limitations
Our study possessed several limitations. Due to the study design, we could not
establish causality between residential private well water use and cancer diagnosis on
the lower Eastern shore of Maryland. Importantly, our study did not sample and test the
residential water supply of any of the patients included in this study. Without performing
water testing, we cannot truly establish a connection between residential water source and
Int. J. Environ. Res. Public Health 2021,18, 145 9 of 13
cancer diagnosis. In addition, ability to control for confounding variables in our current
exploratory study was limited due to the study design. Our study compared private well
water use in cancer patients to general county statistics. While we were able to determine
the percentage of each county that relied on residential private well water, we were unable
to determine the age and race of this particular population at the county level, making
controlling for these variables difficult. In addition, at the time of the study design, there
was little historic data describing variables that might influence private well water use in
this region. To preserve data accuracy, we did not wish to control for variables that may
not be truly affecting our outcomes.
Diet was another factor that we were unable to evaluate and control for in our current
study. It is well known that diet can influence cancer risk, and consuming carcinogenic
foods, such as foods high in nitrates, can potentially increase cancer risk [
50
,
51
]. As this
was a retrospective study, our ability to assess various patient factors was dependent on the
data collected at the time of service. Extensive dietary review is not typically performed
on patients diagnosed with cancer at this regional hospital. Similarly, extensive dietary
information is not typically recorded at the county level. We were therefore unable to
assess the extent dietary intake of potentially carcinogenic foods may be confounding our
findings.
Because of the retrospective nature of this study, we were unable to confirm length of
residency, or whether patients relied on residential tap water for their drinking water. In
addition, while patient’s home address was determined via chart review, we were unable
to confirm that the currently listed home address was also the patient’s home address
at time of initial cancer diagnosis. Despite these limitations, however, this exploratory
study brings to light an important public health issue, and provides grounds for further
investigation.
4.3. Public Health Implications
To our knowledge, the current study is the first to evaluate private well water use on
the lower Eastern shore of Maryland and its relationship with cancer diagnosis. At this
time, the results of our study should not change local public or environmental policies,
nor should they cause undue distress among local citizens who may consume private
well water. While the results of our study are striking, they are not causal. As mentioned
previously, we do not have data at this time confirming that private well water consumption
in this region causes cancer.
That being said, the results of our study certainly signal a need for additional research
on this topic. While our findings may simply be the result of confounding factors, alterna-
tively they may truly reflect an increase in cancer risk for individuals on the lower Eastern
shore who rely on residential private well water. A study published in 2018 by Schullehner
et al. found an increased risk for colon cancer in persons exposed to higher levels of
drinking water nitrate compared to persons exposed to lower levels [
52
]. Similarly, another
study found that long term ingestion of elevated nitrate in drinking water was associated
with increased risk of bladder cancer among postmenopausal women [
53
]. A meta-analysis
performed by Saint-Jacques et al. in 2014 showed that arsenic in drinking water is associ-
ated with increased risk of bladder and kidney cancers [
54
]. These studies highlight the fact
that drinking water research has the potential to impact the health of a large population,
and its findings could have far reaching policy and monitoring implications.
4.4. Future Directions
The results of our study suggest that a relationship may exist between private well
water use and cancer diagnosis on the lower Eastern shore of Maryland. Though there
are many limitations to our study, our study certainly suggests that additional research is
needed to clarify the relationship between these two variables. Additional steps to confirm
this relationship would include a case-control study to compare well water use among
cancer patients and individuals without a prior history of cancer. In this future study,
Int. J. Environ. Res. Public Health 2021,18, 145 10 of 13
determining if participants primarily drank tap water vs. bottled water, or used a drinking
water filtration device, would be beneficial. In addition, determining how many glasses
of tap water participants consumed per day, and the duration of home residency, would
be interesting and provide further insight into this complicated yet highly relevant public
health issue.
Alternatively, geographical variation in cancer incidence could be examined across the
lower Eastern shore of Maryland. Spatial cluster analysis could be performed to determine
whether spatial clusters in cancer incidence are associated with the presence of concentrated
animal feeding operations or agricultural land use. This form of analysis can be difficult
for diseases with complex etiology and long latency such as most cancers. Nonetheless,
cancer cluster investigations in the past occasionally have led to the discovery of important
pathways in the etiology of specific cancers, such as vaginal cell carcinoma and scrotal
cancer [55,56].
Finally, additional research could include testing of private well water quality across
the lower Eastern shore of Maryland for microbiological and chemical contaminants. One
similar study, performed by Murray et al., examined private well water quality across
four counties in Maryland. The study found that nearly half of tested wells did not meet
federal health-based drinking water standards [
42
]. Interestingly, the study did not find a
relationship between animal feeding operations and well water contamination; however,
this study did not include well water samples from Wicomico, Worcester or Somerset
counties.
5. Conclusions
In conclusion, the majority of cancer patients on the lower Eastern shore of Maryland
relied on residential private well water, and cancer patients used residential private well
water more than the general regional population. Younger cancer patients in this region
were also more likely to rely on residential private well water compared to older cancer
patients, though interpretation of these results should be made with caution due to inability
to control for confounding variables. The findings of our study highlight the need for
further research evaluating the relationship between well water exposure and cancer risk
in this vulnerable region.
Supplementary Materials:
The following are available online at https://www.mdpi.com/1660- 460
1/18/1/145/s1, Table S1: Pesticides and degradate compounds identified on the Eastern shore by the
U.S. Geological Survey, 2001–2004. Adapted from data published by the U.S. Geological Survey [
19
],
Table S2: Inorganic compounds, radionuclides, volitile organic compounds and synthetic organic
compounds that were detected at least once either above 50% or 100% of their MCL in Wicomico
County public water system (1991–2003) [
24
28
], Table S3: Inorganic compounds, radionuclides,
volitile organic compounds and synthetic organic compounds that were detected at least once either
above 50% or 100% of their MCL in Worcester 3County public water system (1991–2005) [
30
32
],
Table S4: Inorganic compounds, radionuclides and volitile organic compounds that were detected
at least once either above 50% or 100% of their MCL in Somerset County public water system
(1994–2002) [34,35].
Author Contributions:
A.D. conceived of this study, acquired study funding, contributed to the
study design, and performed data collection. S.K. performed data collection. V.H. performed data
analysis. All authors were involved with drafting and revising this manuscript for content. All
authors have read and agreed to the published version of the manuscript.
Funding:
This project was supported by a Richard A. Henson Research Institute Investigator Endow-
ment.
Institutional Review Board Statement:
We believe the study is exempt under 45 CFR § 46.104(d)(4)
because identifiable health information will be accessed from medical records and recorded in such a
manner that the identity of the human subjects cannot be readily be ascertained directly or through
identifiers linked to the subjects, and the investigator will not contact the subjects of re-identify
subjects. Ethical review and approval were waived for this study due to retrospective nature of this
study.
Int. J. Environ. Res. Public Health 2021,18, 145 11 of 13
Informed Consent Statement:
Patient consent was waived due to the retrospective nature of this
study.
Data Availability Statement:
The data presented in this study are available on request from the
corresponding author. The data are not publicly available in an effort to strictly ensure patient
privacy.
Acknowledgments:
We thank the Richard A. Henson Cancer Institute for its support and encourage-
ment of this project.
Conflicts of Interest: The authors have no potential or actual conflict of interest.
References
1.
United States Census Bureau. American Housing Survey. 2017. Available online: https://www.census.gov/programs-surveys/
ahs.html (accessed on 26 June 2020).
2.
Environmental Protection Agency. Private Drinking Water Wells. Available online: https://www.epa.gov/privatewells (accessed
on 26 June 2020).
3.
Capel, P.D.; McCarthy, K.A.; Coupe, R.H.; Grey, K.M.; Amenumey, S.E.; Baker, N.T.; Johnson, R.L. Agriculture—A River Runs
through It—The Connections between Agriculture and Water Quality; Circular 1433; U.S. Geological Survey: Reston, VA, USA, 2018;
pp. 1–201. [CrossRef]
4.
Burkholder, J.; Libra, B.; Weyer, P.; Heathcote, S.; Kolpin, D.; Thorne, P.S.; Wichman, M. Impacts of waste from concentrated
animal feeding operations on water quality. Environ. Health Perspect. 2007,115, 308–312. [CrossRef] [PubMed]
5.
EPA. Literature Review of Contaminants in Livestock and Poultry Manure and Implications for Water Quality, EPA 820-R-13-002; United
States Environmental Protection Agency: Washington, DC, USA, 2013; p. 125.
6.
Mayer, J.E.; Goldman, R.H. Arsenic and skin cancer in the USA: The current evidence regarding arsenic-contaminated drinking
water. Int. J. Dermatol. 2015,55, e585–e591. [CrossRef] [PubMed]
7.
Smith, A.H.; Goycolea, M.; Haque, R.; Biggs, M.L. Marked increase in bladder and lung cancer mortality in a region of Northern
Chile due to arsenic in drinking water. Am. J. Epidemiol. 1998,1477, 660–669. [CrossRef] [PubMed]
8.
Ward, M.H.; Jones, R.R.; Brender, J.D.; de Kok, T.M.; Weyer, P.J.; Nolan, B.T.; Villanueva, C.M.; van Breda, S.G. Drinking water
nitrate and human health: An updated review. Int. J. Environ. Res. Public Health 2018,15, 1557. [CrossRef]
9.
DeRoos, A.J.; Ward, M.H.; Lynch, C.F.; Cantor, K.P. Nitrate in public water supplies and the risk of colon and rectum cancers.
Epidemiology 2003,14, 640–649. [CrossRef]
10.
Espejo-Herrera, N.; Gracia-Lavedan, E.; Pollan, M.; Aragonés, N.; Boldo, E.; Perez-Gomez, B.; Altzibar, J.M.; Amiano, P.; Zabala,
A.J.; Ardanaz, E.; et al. Ingested Nitrate and Breast Cancer in the Spanish Multicase-Control Study on Cancer (MCC-Spain).
Environ. Health Perspect. 2016,124, 1042–1049. [CrossRef]
11.
Arrebola, J.P.; Belhassen, H.; Artacho-Cordón, F.; Ghali, R.; Ghorbel, H.; Boussen, H.; Perez-Carrascosa, F.M.; Expósito, J.; Hedhili,
A.; Olea, N. Risk of female breast cancer and serum concentrations of organochlorine pesticides and polychlorinated biphenyls:
A case-control study in Tunisia. Sci. Total Environ. 2015,520, 106–113. [CrossRef]
12.
Sun, B.; Zhang, L.; Yang, L.; Zhang, F.; Norse, D.; Zhu, Z. Agricultural non-point source pollution in China: Causes and mitigation
measure. Ambio 2012,41, 370–379. [CrossRef]
13.
Hubbard, L.E.; Given, C.E.; Griffin, D.W.; Iwanowicz, L.R.; Meyer, M.T.; Kolpin, D.W. Poultry litter as potential source of
pathogens and other contaminants in groundwater and surface water proximal to large-scale confined poultry feeding operations.
Sci. Total Environ. 2020,735, 139459. [CrossRef]
14.
Maryland State Archives. Maryland at a Glance: Agriculture and Farming. Available online: http://msa.maryland.gov/msa/
mdmanual/01glance/html/agri.html#poultry (accessed on 20 September 2020).
15.
United States Department of Agriculture: National Agricultural Statistic Service. 2017 Census of Agriculture County Profile:
Wicomico County, Maryland. Available online: https://www.nass.usda.gov/Publications/AgCensus/2017/Online_Resources/
County_Profiles/Maryland/cp24045.pdf (accessed on 20 September 2020).
16.
United States Department of Agriculture: National Agricultural Statistic Service. 2017 Census of Agriculture County Profile:
Worcester County, Maryland. Available online: https://www.nass.usda.gov/Publications/AgCensus/2017/Online_Resources/
County_Profiles/Maryland/cp24047.pdf (accessed on 20 September 2020).
17.
United States Department of Agriculture: National Agricultural Statistic Service. 2017 Census of Agriculture County Profile:
Somerset County, Maryland. Available online: https://www.nass.usda.gov/Publications/AgCensus/2017/Online_Resources/
County_Profiles/Maryland/cp24039.pdf (accessed on 20 September 2020).
18.
Environmental Integrity Project. Poultry Industry Pollution in the Chesapeake Region: Ammonia Air Emissions and Nitro-
gen Load Higher than EPA Estimates. Available online: https://environmentalintegrity.org/wp-content/uploads/2020/04/
Chesapeake-Poultry-Report-EMBARGOED- for-4.22.20.pdf (accessed on 20 September 2020).
19.
Denver, J.M.; Ator, S.W. Pesticides in Ground Water. Fact Sheet 2006-3119; Last modified 29 November 2016; United States Geological
Survey: Reston, VA, USA, 2020. [CrossRef]
Int. J. Environ. Res. Public Health 2021,18, 145 12 of 13
20.
Minovi, D.; Schmitt, K. Tainted Tap: Nitrate Pollution, Factor Farms and Drinking Water in Maryland and Beyond. Center for
Progressive Reform. October 2020. Available online: https://cpr-assets.s3.amazonaws.com/documents/Tainted-Tap-FINAL-10
3120.pdf (accessed on 31 October 2020).
21.
Maryland Department of Health: Cancer Prevention, Education, Screening and Treatment Program. 2019 Cancer Data: Cigarette
Restitution Fund Program. 2019. Available online: https://phpa.health.maryland.gov/cancer/SiteAssets/Pages/surv_data-
reports/2019%20CRF%20Cancer%20Report.pdf (accessed on 29 June 2020).
22.
Peninsula Regional Medical Center; Richard, A. Henson Cancer Institute. 2017 Annual Cancer Report (2016 Statistics). Available
online: amazonaws.com (accessed on 11 December 2020).
23.
U.S. Census Bureau. 2010 Census of Population and Housing: Maryland 2010 Population and Housing Unit Counts. Available
online: https://www.census.gov/prod/cen2010/cph-2-22.pdf (accessed on 19 June 2020).
24.
Maryland Department of the Environment, Water Management Administration. Source Water Assessment for the City of Salisbury;
Maryland Department of the Environment, Water Management Administration: Wicomico County, MD, USA, 2003.
25.
Maryland Department of the Environment, Water Management Administration. Source Water Supply Program. In Water
Assessment for the City of Fruitland; Maryland Department of the Environment, Water Management Administration: Wicomico
County, MD, USA, 2000.
26.
Advanced Land and Water, Inc. Source Water Protection Program Benefitting the Town of Sharptown; Report prepared for the
Maryland Department of the Environment, Water Management Administration; Advanced Land and Water, Inc.: Wicomico
County, MD, USA, 2003.
27.
Maryland Department of the Environment. Water Management Administration, Water Supply Program. In Source Water
Assessment for Ten Community Water Systems; Maryland Department of the Environment: Wicomico County, MD, USA, 2005.
28.
Maryland Department of the Environment. Wicomico County Department of Planning. In 2017 Wicomico County
Comprehensive Plan; Maryland Department of the Environment: Wicomico County, MD, USA, 2017. Available online:
https://www.wicomicocounty.org/DocumentCenter/View/4156/Comprehensive-Water-and-Sewer-Plan?bbidI= (accessed
on 30 October 2020).
29.
Bonin, E. High Nitrate Levels Found in Local Well Water. OC Today. 29 October 2020. Available online: https://www.
oceancitytoday.com/news/high- nitrate-levels-found- in-local-well- water/article517e5310a20-11eb-b908- a78b3ad47d0/html (ac-
cessed on 30 October 2020).
30.
Advanced Land and Water, Inc. Source Water Assessment and Wellhead Protection Plan Including Production Wells Serving the Town
of Berlin and the Tyson Foods Berlin Plant; Report prepared for the Maryland Department of Environment, Water Management
Administration; Advanced Land and Water, Inc.: Worcester County, MD, USA, 2004.
31.
Maryland Department of the Environment. Water Management Administration, Water Supply Program. In Source Water
Assessment for the Town of Ocean City; Maryland Department of the Environment: Worcester County, MD, USA, 2005.
32.
Maryland Department of the Environment. Water Management Administration, Water Supply Program. In Source Water
Assessment for the Town of Ocean Pines; Maryland Department of the Environment: Worcester County, MD, USA, 2000.
33.
Maryland Department of the Environment. Worcester County Department of Planning Water Resources Element of the Worcester
Comprehensive Plan; Maryland Department of the Environment: Worcester County, MD, USA, 2011.
34.
Maryland Department of the Environment. Water Management Administration, Water Supply Program. In Source Water
Assessment for Community Water Systems; Maryland Department of the Environment: Somerset County, MD, USA, 2005.
35.
Maryland Department of the Environment. Somerset County Department of Planning. Somerset County, Maryland Water
Resources Element of the Somerset Comprehensive Plan. March 2010. Available online: https://planning.maryland.gov/
Document/OurWork/compplans/10_WRE_Somerset.pdf (accessed on 26 October 2020).
36.
Maupon, M.A.; Kenny, J.F.; Hutson, S.S.; Lovelace, J.K.; Barber, N.L.; Linsey, K.S. Estimated Use of Water in the United States in 2010;
U.S. Geological Survey: Reston, VA, USA, 2014; p. 56.
37.
Lee, S.; Yeo, I.Y.; Sadeghi, A.M.; McCarty, G.W.; Hively, W.D.; Lang, M.W. Impacts of watershed characteristics and crop rotations
on winter cover crop nitrate-nitrogen uptake capacity within agricultural watersheds in the Chesapeake Bay Region. PLoS ONE
2016,11, e0157637. [CrossRef]
38.
Zirkle, K.W.; Nolan, B.T.; Jones, R.R.; Weyer, P.J.; Ward, M.H.; Wheeler, D.C. Assessing the relationship between groundwater
nitrate and animal feeding operations in Iowa (USA). Sci. Total Environ. 2016,566, 1062–1068. [CrossRef] [PubMed]
39. Toetz, D. Nitrate in ground and surface waters in the vicinity of a concentrated animal feeding operation. Arch. Hydrobiol. 2006,
166, 67–77. [CrossRef]
40.
Michalopoulos, C.; Tzamtizis, N.; Liodakis, S. Effects of an intensive hog farming operation on groundwater in east Mediterranean
(I): A study on electrical conductivity, as well as nitrogen and sulfur nutrients. Bull. Environ. Contam. Toxicol.
2014
,93, 683–687.
[CrossRef] [PubMed]
41. Puckett, L.J. Identifying the major sources of nutrient water pollution. Environ. Sci. Technol. 1995,29, 408–414. [CrossRef]
42.
Murray, R.T.; Rosenberg Goldstein, R.E.; Maring, E.F.; Pee, D.G.; Aspinwall, K.; Wilson, S.M.; Sapkota, A.R. Prevalence of
microbiological and chemical contaminants in private drinking water wells in Maryland, USA. Int. J. Environ. Res. Public Health
2018,15, 1686. [CrossRef]
43.
Swistock, B.R.; Clemens, S.; Sharpe, W.E.; Rummel, S. Water quality and management of private drinking water wells in
Pennsylvania. J. Environ. Health 2013,75, 60–66.
Int. J. Environ. Res. Public Health 2021,18, 145 13 of 13
44. Pieper, K.J.; Krometis, L.A.; Gallagher, D.L.; Benham, B.L.; Edwards, M. Incidence of waterborne lead in private drinking water
systems in Virginia. J. Water Health 2015,13, 897–908. [CrossRef]
45.
Knobeloch, L.; Gorski, P.; Christenson, M.; Anderson, H. Private drinking water quality in rural Wisconsin. J. Environ. Health
2013,75, 16–20.
46.
Smith, T.; Krometis, L.A.; Hagedorn, C.; Lawrence, A.H.; Benham, B.; Ling, E.; Ziegler, P. Associations between fecal indicator
bacteria prevalence and demographic data in private water supplies in Virginia. J. Water Health 2014,12, 824–834. [CrossRef]
47.
Winters, S.; Marin, C.; Murphy, D.; Shokar, N.K. Breast cancer epidemiology, prevention and screen. Prog. Mol. Biol. Transl. Sci.
2017,151, 1–32. [CrossRef]
48.
Bae, E.; Leone, D.; Konnikov, N.; Mahaligam, M. Demographics, risk factors, and incidence of melanoma in patients in the New
England VA Healthcare system. Mil. Med. 2019,184, e408–e416. [CrossRef] [PubMed]
49.
Wogan, G.N.; Hecht, S.S.; Felton, J.S.; Conney, A.H.; Loeb, L.A. Environmental and chemical carcinogenesis. Semin. Cancer Biol.
2004,14, 473–486. [CrossRef] [PubMed]
50.
Schullehner, J.; Hansen, B.; Thygesen, M.; Pedersen, C.B.; Sigsgaard, T. Nitrate in drinking water and colorectal cancer risk:
A nationwide population based cohort study. Int. J. Cancer 2018,143, 73–79. [CrossRef] [PubMed]
51.
Chao, A.; Thun, M.J.; Connell, C.J.; McCullough, M.L.; Jacobs, E.J.; Flanders, W.D.; Rodriguez, C.; Sinha, R.; Calle, E.E. Meat
consumption and risk of colorectal cancer. JAMA 2005,293, 172–182. [CrossRef]
52.
Parada, H.; Steck, S.E.; Bradshaw, P.T.; Engel, L.S.; Conway, K.; Teitelbaum, S.L.; Neugut, A.I.; Santella, R.M.; Gammon, M.D.
Grilled, barbecued and smoked meat intake and survival following breast cancer. J. Natl. Cancer Inst. 2017,103. [CrossRef]
53.
Jones, R.R.; Weyer, P.J.; DellaValle, C.T.; Inoue-Choi, M.; Anderson, K.E.; Cantor, K.P.; Krasner, S.; Robien, K.; Freeman, L.E.B.;
Silverman, D.T.; et al. Nitrate from drinking water and diet and bladder cancer among postmenopausal women in Iowa. Environ.
Health Perspect. 2016,124, 1751–1758. [CrossRef]
54. Saint-Jacques, N.; Parker, L.; Brown, P.; Dummer, T.J. Arsenic in drinking water and urinary tract cancers: A systemic review of
30 years of epidemiological evidence. Environ. Health 2014,13, 44. [CrossRef]
55.
Herbst, A.L.; Ulfelder, H.; Poskanzer, D.C. Adenocarcinoma of the vagina. Association of maternal stilbestrol therapy with tumor
appearance in young women. N. Engl. J. Med. 1971,284, 878–881. [CrossRef]
56.
Pott, P. Chirurgical observations. Reproduced in 1996: Observations of scrotal tumours among London chimney sweeps. In
Classics in Oncology; Holleb, A., Randers-Pehrson, M., Eds.; American Cancer Society: New York, NY, USA, 1775; pp. 3–8.
Article
This study collected 184 groundwater (GW) samples from 92 wells during the dry and wet seasons, respectively to understand the hydrochemical characteristics, water quality, and risk of GW nitrate (NO3⁻) to human health in northern Shandong Peninsula (NSP), China. The results showed that GW in the NSP is weakly alkaline and classified as hard fresh water. The mean concentration of NO3⁻ in GW exceeded 100 mg L⁻¹, total hardness exceeded 450 mg L⁻¹, and total dissolved solids (TDS) was less than 1000 mg L⁻¹. A Piper diagram showed that the water chemistry of GW in the NSP was mainly of the SO4·Cl-Ca·Mg type. A Gibbs diagram and ion ratio analysis indicated that the weathering of silicate rocks and agricultural production were the dominant factors affecting the hydrochemical characteristics of GW in the NSP, with cation exchange, dissolution of salt rock, and weathering of carbonate rock also making contributions. Na⁺ and Cl⁻ in GW are significantly affected by seawater aerosols in coastal areas. During the wet season, the hydrodynamic conditions of the aquifer are improved, agricultural activities are strengthened, and GW becomes generally homogenized. The water quality index classified the GW quality of the NSP as mainly of medium quality. There was a relatively consistent spatial distribution of water quality during different periods. Water samples of poor water quality were mainly distributed in the lower reaches of the Huangshui River. In addition, total hardness and NO3⁻ concentrations were the main variables affecting the quality of GW in the NSP. The assessment of the risk NO3⁻ in GW in the NSP to human health through the ingestion of drinking water demonstrated a significant risk (infants > children > adults). These results indicate the need for local management measures to reduce the potential health risks of GW quality in the NSP.
Article
Full-text available
Although many U.S. homes rely on private wells, few studies have investigated the quality of these water sources. This cross-sectional study evaluated private well water quality in Maryland, and explored possible environmental sources that could impact water quality. Well water samples (n = 118) were collected in four Maryland counties and were analyzed for microbiological and chemical contaminants. Data from the U.S. Census of Agriculture were used to evaluate associations between the presence of animal feeding operations and well water quality at the zip code level using logistic regression. Overall, 43.2% of tested wells did not meet at least one federal health-based drinking water standard. Total coliforms, fecal coliforms, enterococci, and Escherichia coli were detected in 25.4%, 15.3%, 5.1%, and 3.4% of tested wells, respectively. Approximately 26%, 3.4%, and <1% of wells did not meet standards for pH, nitrate-N, and total dissolved solids, respectively. There were no statistically significant associations between the presence of cattle, dairy, broiler, turkey, or aquaculture operations and the detection of fecal indicator bacteria in tested wells. In conclusion, nearly half of tested wells did not meet federal health-based drinking water standards, and additional research is needed to evaluate factors that impact well water quality. However, homeowner education on well water testing and well maintenance could be important for public health.
Article
Full-text available
Nitrate levels in our water resources have increased in many areas of the world largely due to applications of inorganic fertilizer and animal manure in agricultural areas. The regulatory limit for nitrate in public drinking water supplies was set to protect against infant methemoglobinemia, but other health effects were not considered. Risk of specific cancers and birth defects may be increased when nitrate is ingested under conditions that increase formation of N-nitroso compounds. We previously reviewed epidemiologic studies before 2005 of nitrate intake from drinking water and cancer, adverse reproductive outcomes and other health effects. Since that review, more than 30 epidemiologic studies have evaluated drinking water nitrate and these outcomes. The most common endpoints studied were colorectal cancer, bladder, and breast cancer (three studies each), and thyroid disease (four studies). Considering all studies, the strongest evidence for a relationship between drinking water nitrate ingestion and adverse health outcomes (besides methemoglobinemia) is for colorectal cancer, thyroid disease, and neural tube defects. Many studies observed increased risk with ingestion of water nitrate levels that were below regulatory limits. Future studies of these and other health outcomes should include improved exposure assessment and accurate characterization of individual factors that affect endogenous nitrosation.
Article
Full-text available
The adoption rate of winter cover crops (WCCs) as an effective conservation management practice to help reduce agricultural nutrient loads in the Chesapeake Bay (CB) is increasing. However, the WCC potential for water quality improvement has not been fully realized at the watershed scale. This study was conducted to evaluate the long-term impact of WCCs on hydrology and NO3-N loads in two adjacent watersheds and to identify key management factors that affect the effectiveness of WCCs using the Soil and Water Assessment Tool (SWAT) and statistical methods. Simulation results indicated that WCCs are effective for reducing NO3-N loads and their performance varied based on planting date, species, soil characteristics, and crop rotations. Early-planted WCCs outperformed late-planted WCCs on the reduction of NO3-N loads and early-planted rye (RE) reduced NO3-N loads by ~49.3% compared to the baseline (no WCC). The WCCs were more effective in a watershed dominated by well-drained soils with increased reductions in NO3-N fluxes of ~2.5 kg N·ha-1 delivered to streams and ~10.1 kg N·ha-1 leached into groundwater compared to poorly-drained soils. Well-drained agricultural lands had higher transport of NO3-N in the soil profile and groundwater due to increased N leaching. Poorly-drained agricultural lands had lower NO3-N due to extensive drainage ditches and anaerobic soil conditions promoting denitrification. The performance of WCCs varied by crop rotations (i.e., continuous corn and corn-soybean), with increased N uptake following soybean crops due to the increased soil mineral N availability by mineralization of soybean residue compared to corn residue. The WCCs can reduce N leaching where baseline NO3-N loads are high in well-drained soils and/or when residual and mineralized N availability is high due to the cropping practices. The findings suggested that WCC implementation plans should be established in watersheds according to local edaphic and agronomic characteristics for reducing N leaching.
Article
Full-text available
Nitrate-nitrogen is a common contaminant of drinking water in many agricultural areas of the United States of America (USA). Ingested nitrate from contaminated drinking water has been linked to an increased risk of several cancers, specific birth defects, and other diseases. In this research, we assessed the relationship between animal feeding operations (AFOs) and groundwater nitrate in private wells in Iowa. We characterized AFOs by swine and total animal units and type (open, confined, or mixed), and we evaluated the number and spatial intensities of AFOs in proximity to private wells. The types of AFO indicate the extent to which a facility is enclosed by a roof. Using linear regression models, we found significant positive associations between the total number of AFOs within 2 km of a well (p trend < 0.001), number of open AFOs within 5 km of a well (p trend < 0.001), and number of mixed AFOs within 30 km of a well (p trend < 0.001) and the log nitrate concentration. Additionally, we found significant increases in log nitrate in the top quartiles for AFO spatial intensity, open AFO spatial intensity, and mixed AFO spatial intensity compared to the bottom quartile (0.171 log(mg/L), 0.319 log(mg/L), and 0.541 log(mg/L), respectively; all p < 0.001). We also explored the spatial distribution of nitrate-nitrogen in drinking wells and found significant spatial clustering of high-nitrate wells (> 5 mg/L) compared with low-nitrate (≤ 5 mg/L) wells (p = 0.001). A generalized additive model for high-nitrate status identified statistically significant areas of risk for high levels of nitrate. Adjustment for some AFO predictor variables explained a portion of the elevated nitrate risk. These results support a relationship between animal feeding operations and groundwater nitrate concentrations and differences in nitrate loss from confined AFOs vs. open or mixed types.
Article
Manure from livestock production has been associated with the contamination of water resources. To date, research has primarily focused on runoff of these contaminants from animal operations into surface water, and the introduction of poultry-derived pathogenic zoonoses and other contaminants into groundwater is under-investigated. We characterized pathogens and other microbial and chemical contaminants in poultry litter, groundwater, and surface water near confined poultry feeding operations (chicken layer, turkey) at 9 locations in Iowa and one in Wisconsin from May and June 2016. Results indicate that poultry litter from large-scale poultry confined feeding operations is a likely source of environmental contamination and that groundwater is also susceptible to such poultry-derived contamination. Poultry litter, groundwater, and surface water samples had detections of viable bacteria growth (Salmonella spp., enterococci, staphylococci, lactobacilli), multi-drug resistant Salmonella DT104 flost and int genes, F⁺ RNA coliphage (group I and IV), antibiotic resistance genes (ARGs; blaDHA, blaOXA-48, blaTEM, blaCMY-2, tetM), phytoestrogens (biochanin A, daidzein, formononetin), and a progestin (progesterone). In addition, mcr-1 (a colistin ARG), was detected in a groundwater sample and in another groundwater sample, antibiotic resistant isolates were positive for Brevibacterium spp., a potential signature of poultry in the environment. Detectable estrogenicity was not measured in poultry litter, but was observed in 67% of the surface water samples and 22% were above the U.S. Environmental Protection Agency trigger level of 1 ng/L. The transport of microbial pathogens to groundwater was significantly greater (p < 0.001) than the transport of trace organic contaminants to groundwater in this study. In addition to viable pathogens, several clinically important ARGs were detected in litter, groundwater, and surface water, highlighting the need for additional research on sources of these contaminants in livestock dominated areas.
Article
Introduction: A recent study found that the incidence of melanoma and melanoma-related mortality was decreasing in residents of the New England region. However, it is unknown whether this trend is conserved in Veterans of New England who constitute more than 14% of the national Veteran population. Given this, our goal was to analyze the incidence of melanoma in patients of Veteran Integrated Service Network-1 (VISN-1) (geographically consisting of VA health care facilities in Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont) and to calculate an incidence rate ratio (IRR) of melanoma in VISN-1 compared to the general population. Additional goals were to ascertain the risk/susceptibility of this patient population with a view to improve quality of care and outcomes. Materials and methods: Data for 523 cases of melanoma [2000-2011] were obtained from the regional branch of the Veterans Affairs Central Cancer Registry (VACCR) within the geographic area comprising VISN-1. A detailed retrospective chart review was conducted on these cases to gather demographic, risk factor, and clinical practice data. Demographic and incidence data from VISN-1 were compared to the general population via data from Surveillance, Epidemiology and End Results Program (SEER) from the same time period. Person-years (PY) were calculated for both populations to measure IRRs which was further standardized for age and gender. Results: VISN-1 patients were predominantly older (94.26% >50 years), Caucasian (99.43%) males (96.75%). Compared to the general population, VISN-1 patients experienced more invasive lesions defined as stage T1 or greater (4.33% vs. 57.12%, p < 0.001), but reduced melanoma-associated mortality (40.96% vs. 19.05%, p < 0.001) although all-cause mortality was approximately doubled (52.20% vs. 26.14%, p < 0.001). Metastatic disease-rates were similar in both [approximately 4% in both]. IRR of melanoma in VISN-1 patients was 0.36 (95% CI: 0.20-0.67; p = 0.0063) which persisted in all age groups/genders. 60.92% of VISN-1 patients had recreational sun-exposure history and 72.41% of tobacco use. 95.02% of melanomas were located in continuously/intermittently sun-exposed areas, 93.28% were surgically-treated with a median treatment delay of 31 days [range 18-48]. Median lost to follow-up was 0 day [range 0-681 days]. Conclusions: Compared to the general population, melanoma incidence was lower in the VISN-1 cohort, possibly due to decreased UV index in the New England region, protective effects of past tobacco use, improved access to care through the VA and regional public health educational efforts. Yet melanomas were more often invasive in the VISN-1 cohort due to advanced age and male sex both of which are associated with more advanced disease at diagnosis. A strength of this study is the calculation of IRR using PY as this method enhances accuracy of incidence calculations. The data were limited by the fact that the population was from one geographic region and consisted mainly of elderly Caucasian males. Descriptive variable data such as sun-protective habits and risk factors from military service are limited by potential recall bias given the retrospective study design. Further study is necessary to replicate these results and to compare our data to Veteran populations from different geographic regions within the USA.
Article
Nitrate in drinking water may increase risk of colorectal cancer due to endogenous transformation into carcinogenic N-nitroso compounds. Epidemiological studies are few and often challenged by their limited ability of estimating long-term exposure on a detailed individual level. We exploited population-based health register data, linked in time and space with longitudinal drinking water quality data, on an individual level to study the association between long-term drinking water nitrate exposure and colorectal cancer (CRC) risk. Individual nitrate exposure was calculated for 2.7 million adults based on drinking water quality analyses at public waterworks and private wells between 1978 and 2011. For the main analyses, 1.7 million individuals with highest exposure assessment quality were included. Follow-up started at age 35. We identified 5,944 incident CRC cases during 23 million person-years at risk. We used Cox proportional hazards models to estimate hazard ratios (HRs) of nitrate exposure on the risk of CRC, colon and rectal cancer. Persons exposed to the highest level of drinking water nitrate had an HR of 1.16 (95% CI: 1.08-1.25) for CRC compared with persons exposed to the lowest level. We found statistically significant increased risks at drinking water levels above 3.87 mg/L, well below the current drinking water standard of 50 mg/L. Our results add to the existing evidence suggesting increased CRC risk at drinking water nitrate concentrations below the current drinking water standard. A discussion on the adequacy of the drinking water standard in regards to chronic effects is warranted. This article is protected by copyright. All rights reserved.
Chapter
Globally, breast cancer is both the most commonly occurring cancer and the commonest cause of cancer death among women. Available data suggest that incidence and mortality in high-resource countries has been declining whereas incidence and mortality in low-resource countries has been increasing. This pattern is likely to be due to changing risk factor profiles and differences in access to breast cancer early detection and treatment. Risk factors for breast cancer include increasing age, race, menarche history, breast characteristics, reproductive patterns, hormone use, alcohol use, tobacco use, diet, physical activity, and body habitus. Mutations in the BRCA 1 and BRCA 2 tumor suppressor genes are significantly associated with the development of breast and ovarian cancer by the age of 70. Survival depends on both stage and molecular subtype. As there are few signs and symptoms early on, early detection is an important strategy to improve outcomes. Major professional organizations in the United States and elsewhere recommend screening with mammography with appropriate follow up for an abnormal screening test, although they differ somewhat by recommended ages and frequency of screening. Studies suggest a 15%-40% mortality reduction secondary to screening, however, there are also concerns about harms, such as overdiagnosis (5%-54%) and overtreatment leading to long term complications, and false negatives (6%-46%). Identification of women at risk for BRCA1 and BRCA 2 mutations is also recommended with referral for genetic testing. Preventive interventions, such as lifestyle, medical, and surgical options are available for women testing positive for BRCA mutations.
Article
Background: Grilled, barbecued, and smoked meat intake, a prevalent dietary source of polycyclic aromatic hydrocarbon (PAH) carcinogens, may increase the risk of incident breast cancer. However, no studies have examined whether intake of this PAH source influences survival after breast cancer. Methods: We interviewed a population-based cohort of 1508 women diagnosed with first primary invasive or in situ breast cancer in 1996 and 1997 at baseline and again approximately five years later to assess grilled/barbecued and smoked meat intake. After a median of 17.6 years of follow-up, 597 deaths, of which 237 were breast cancer related, were identified. Multivariable Cox regression was used to estimate adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality as related to prediagnosis intake, comparing high (above the median) to low intake, as well as postdiagnosis changes in intake, comparing every combination of pre-/postdiagnosis intake to low pre-/postdiagnosis intake. All statistical tests were two-sided. Results: High prediagnosis grilled/barbecued and smoked meat intake was associated with increased risk of all-cause mortality (HR = 1.23, 95% CI = 1.03 to 1.46). Other associations were noted, but estimates were not statistically significant. These include high prediagnosis smoked beef/lamb/pork intake and increased all-cause (HR = 1.17, 95% CI = 0.99 to 1.38, Ptrend = .10) and breast cancer-specific (HR = 1.23, 95% CI = 0.95 to 1.60, Ptrend = .09) mortality. Also, among women with continued high grilled/barbecued and smoked meat intake after diagnosis, all-cause mortality risk was elevated 31% (HR = 1.31, 95% CI = 0.96 to 1.78). Further, breast cancer-specific mortality was decreased among women with any pre- and postdiagnosis intake of smoked poultry/fish (HR = 0.55, 95% CI = 0.31 to 0.97). Conclusion: High intake of grilled/barbecued and smoked meat may increase mortality after breast cancer.
Article
Background: Studies carried out in developing countries, such as Bangladesh and Taiwan, have reported an association between exposure to arsenic in drinking water and increased rates of non-melanoma skin cancer. However, it is unclear whether this correlation can be extended to the populations of developed countries such as the USA, which have lower levels of arsenic exposure and differ in other factors, such as genetics, nutrition, sun exposure, and socioeconomic status. Objectives: This report examines the current evidence in an attempt to resolve whether populations in the USA have rates of skin cancer that correlate with higher arsenic concentrations. Methods: A systematic literature search was conducted using the PubMed, EMBASE, CINAHL, and Cochrane databases. Results: Six key studies were found and reviewed. Several studies conducted in US populations indicate an association between arsenic-contaminated water and skin cancer, which may in some cases occur at arsenic concentrations of <10 μg/l, the 2001 Environmental Protection Agency (EPA) maximum allowable concentration for municipal water. Conclusions: Private wells are not regulated by the EPA's rule, and many have concentrations above the EPA maximum. In order to help curb the rising incidence of skin cancer, arsenic contamination of water warrants the attention of policymakers. Greater testing of well water and increased education and skin cancer surveillance by dermatologists in arsenic-endemic areas may help to reduce exposure to arsenic and facilitate the early recognition of skin cancer.