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Environ Health Perspect. 2012 Apr; 120(4): 494–500.
Published online 2011 Dec 2. doi: 10.1289/ehp.1103988
PMCID: PMC3339454
PMID: 22138666

Arsenic Exposure and Hypertension: A Systematic Review

Abstract

Background: Environmental exposure to arsenic has been linked to hypertension in persons living in arsenic-endemic areas.

Objective: We summarized published epidemiologic studies concerning arsenic exposure and hypertension or blood pressure (BP) measurements to evaluate the potential relationship.

Data sources and extraction: We searched PubMed, Embase, and TOXLINE and applied predetermined exclusion criteria. We identified 11 cross-sectional studies from which we abstracted or derived measures of association and calculated pooled odds ratios (ORs) using inverse-variance weighted random-effects models.

Data synthesis: The pooled OR for hypertension comparing the highest and lowest arsenic exposure categories was 1.27 [95% confidence interval (CI): 1.09, 1.47; p-value for heterogeneity = 0.001; I2 = 70.2%]. In populations with moderate to high arsenic concentrations in drinking water, the pooled OR was 1.15 (95% CI: 0.96, 1.37; p-value for heterogeneity = 0.002; I2 = 76.6%) and 2.57 (95% CI: 1.56, 4.24; p-value for heterogeneity = 0.13; I2 = 46.6%) before and after excluding an influential study, respectively. The corresponding pooled OR in populations with low arsenic concentrations in drinking water was 1.56 (95% CI: 1.21, 2.01; p-value for heterogeneity = 0.27; I2 = 24.6%). A dose–response assessment including six studies with available data showed an increasing trend in the odds of hypertension with increasing arsenic exposure. Few studies have evaluated changes in systolic and diastolic BP (SBP and DBP, respectively) measurements by arsenic exposure levels, and those studies reported inconclusive findings.

Conclusion: In this systematic review we identified an association between arsenic and the prevalence of hypertension. Interpreting a causal effect of environmental arsenic on hypertension is limited by the small number of studies, the presence of influential studies, and the absence of prospective evidence. Additional evidence is needed to evaluate the dose–response relationship between environmental arsenic exposure and hypertension.

Keywords: arsenic, blood pressure, hypertension, meta-analysis, systematic review

Hypertension is a major risk factor for mortality and morbidity worldwide (Lopez et al. 2006; Murray and Lopez 1997; Oparil et al. 2003; Whitworth 2003). Risk factors for hypertension include high salt intake, increased body mass index (BMI), genetic predisposition, and exposure to psychosocial stress (Oparil et al. 2003; Whitworth 2003). Additional evidence, however, suggests that environmental factors play a role in hypertension development (Houston 2007; Klahr 2001; Laclaustra et al. 2009; Navas-Acien et al. 2007, 2008; Oparil et al. 2003; Tellez-Plaza et al. 2008; Vaziri 2008). The identification and mitigation of environmental exposures related to hypertension could contribute to reducing the worldwide burden of hypertension-related disease.

Among environmental exposures, epidemiologic and experimental evidence supports the possibility that arsenic plays a role in hypertension and other cardiometabolic diseases [Chen Y et al. 2011; Medrano et al. 2010; Navas-Acien et al. 2005; Smedley and Kinniburgh 2002; U.S. Department of Health and Human Services (DHHS) 2005; Wang CH et al. 2007; Wu et al. 1989]. Arsenic-contaminated drinking water represents a major public health problem internationally (Chappell et al. 2002; Chen CJ et al. 1995; Chilvers and Peterson 1987; Hinkle and Polette 1999; Mukherjee et al. 2006; Rahman et al. 1999). The World Health Organization and U.S. Environmental Protection Agency (EPA) standard for arsenic levels in drinking water is 10 μg/L (DHHS 2005; Whitworth 2003). In the United States alone, millions of persons are exposed to arsenic concentrations > 10 μg/L; whereas persons in Bangladesh, China, India, Cambodia, Ghana, Argentina, Mexico, and other countries around the world are exposed to arsenic levels in drinking water that are well beyond 10 μg/L (Navas-Acien et al. 2005; DHHS 2005). Epidemiologic studies conducted in arsenic-endemic areas in Taiwan and Bangladesh have found a positive relationship between inorganic arsenic exposure from drinking water and hypertension (Chen CJ et al. 1995; Rahman et al. 1999). Experimental studies have indicated that arsenic exposure may be involved in the development of hypertension through the promotion of inflammation, oxidative stress, and endothelial dysfunction (Aposhian et al. 2003; Balakumar et al. 2008; Lee et al. 2003; Smedley and Kinniburgh 2002; DHHS 2005).

To evaluate the potential relationship between arsenic and hypertension, we conducted a systematic review of epidemiologic studies that have investigated the association between inorganic arsenic exposure (using environmental measures or biomarkers) and hypertension outcomes [using hypertension status and systolic and diastolic blood pressure (SBP and DBP, respectively)].

Methods

Search strategy and data abstraction. We searched PubMed (http://www.ncbi.nlm.nih.gov/pubmed/, Embase (http://www.embase.com/home), and TOXLINE (http://toxnet.nlm.nih.gov/cgi-bin/sis/htmlgen?TOXLINE) databases to find all published observational studies evaluating the relationship between arsenic exposure with hypertension or BP levels using the free text and Medical Subject Headings (MeSH) terms “arsenic,” “arsenicals,” “arsenate,” or “arsenite” and “hypertension” or “blood pressure.” The search period was January 1966 through March 2011 with no language restrictions (Figure 1).

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Summary of search and screening process. aA total of 138 studies were not in English. bChen Y et al. (2007) and Jones et al. (2011) were the only studies including both hypertension and BP level end points.

Two investigators (L.N.A. and M.R.J.) reviewed each paper and applied the study selection criteria (Figure 1). Epidemiologic studies with data on arsenic exposure and hypertension outcomes were included. We excluded nonoriginal reports, experimental studies, case reports and case series, and studies without measures of arsenic exposure or hypertension end points. We also excluded one study that used hypertension mortality as the only end point (Lewis et al. 1999) and two reports (Hsueh et al. 2005; Huang et al. 2007) that used the same study population as another included study (Chen CJ et al. 1995). The two investigators, L.N.A. and M.R.J., independently abstracted the study data, including design, study population (location, age, and sex distribution), sample size, arsenic assessment and exposure levels, hypertension outcomes, study results (measures of association), and potential confounders accounted for in the statistical analysis. Authors were contacted for information unavailable in the published reports. For studies with multiple levels of adjustment, we abstracted the measure of association obtained from the model adjusted for the most covariates after confirmation that adjustment did not markedly modify the conclusions of any individual study. For studies that were not in English (138 of 865), the full text of the article was translated by a native speaker if the information in the abstract was insufficient to include/exclude the article. Discrepancies were resolved by consensus. The quality of the included studies was evaluated by adapting the criteria developed by Longnecker et al. (1988) and Appel et al. (2002).

Statistical analysis. For studies that reported hypertension, we abstracted (Chen CJ et al. 1995; Chen Y 2007; Jones et al. 2011; Rahman et al. 1999; Zierold et al. 2004) or derived (Guo et al. 2007; Wang SL et al. 2007; Yildiz et al. 2008) odds ratios (ORs) and prevalence ratios for hypertension and their standard errors from the published data. For three studies with hypertension data but no available measures of association, we estimated the OR and 95% confidence interval (CI) for hypertension by arsenic categories using the number of cases and noncases in the exposed and unexposed groups (Guo et al. 2007; Wang SL et al. 2007; Yildiz et al. 2008). For summary purposes, we pooled OR estimates comparing hypertension in the highest and lowest categories of arsenic exposure from individual studies using an inverse-variance weighted random-effects model. Pooled ORs were calculated for all studies and separately for studies conducted in populations exposed to moderate-to-high arsenic levels and for studies conducted in populations exposed to low arsenic levels. Heterogeneity was quantified with the I2 statistic, an index that describes the proportion of the total variation in pooled estimates due to heterogeneity (Higgins and Thompson 2002). The relative influence of each study on pooled estimates was estimated by omitting one study at a time. Finally, we assessed publication bias using funnel plots. For studies that reported hypertension results for three or more arsenic categories, we evaluated the dose–response relationship over the range of arsenic levels (Chen CJ et al. 1995; Jones et al. 2011; Rahman et al. 1999; Wang SL et al. 2007; Zierold et al. 2004). All statistical analyses were performed using Stata software, version 11.0 (StataCorp, College Station, TX, USA).

For studies that reported SBP (Chen Y et al. 2007; Dastgiri et al. 2010; Jensen and Hansen 1998; Jones et al. 2011; Kwok et al. 2007) and DBP (Chen Y et al. 2007; Dastgiri et al. 2010; Jones et al. 2011; Kwok et al. 2007) levels, we abstracted (Jones et al. 2011; Kwok et al. 2007) or derived (Chen Y et al. 2007; Dastgiri et al. 2010; Jensen and Hansen 1998) the difference in BP levels comparing the highest and lowest categories of arsenic exposure. Because the number of studies was small and because the largest study (Chen Y et al. 2007) did not provide enough information to calculate CIs, these results are presented descriptively, and no pooled estimate was calculated.

Results

Study characteristics. Eleven studies, published between 1995 and 2011, were identified (Table 1). All studies meeting the inclusion criteria were cross-sectional and published in English. Combined, the studies covered arsenic exposure and hypertension outcomes for > 20,000 individuals. Eight studies were conducted at moderate to high levels of exposure (average levels in drinking water ≥ 50 μg/L or occupational studies) (Chen CJ et al. 1995; Chen Y 2007; Dastgiri et al. 2010; Guo et al. 2007; Jensen and Hansen 1998; Kwok et al. 2007; Rahman et al. 1999; Yildiz et al. 2008), and three studies were conducted at low levels of exposure (average levels in drinking water < 50 μg/L) (Jones et al. 2011; Wang SL et al. 2007; Zierold et al. 2004). Ten studies were conducted in general populations (two from Taiwan, two from Bangladesh, two from Inner Mongolia, two from the United States, one from Turkey, and one from Iran) (Chen CJ et al. 1995; Chen Y 2007; Dastgiri et al. 2010; Guo et al. 2007; Jones et al. 2011; Kwok et al. 2007; Rahman et al. 1999; Wang SL et al. 2007; Yildiz et al. 2008; Zierold et al. 2004). One study was conducted in an occupational setting in Denmark (Jensen and Hansen 1998). Five studies measured arsenic concentrations in drinking water (Chen CJ et al. 1995; Chen Y 2007; Kwok et al. 2007; Rahman et al. 1999; Zierold et al. 2004), three compared areas of high and low arsenic concentrations in drinking water (Dastgiri et al. 2010; Guo et al. 2007; Yildiz et al. 2008), two studies used biomarkers (hair, Wang SL et al. 2007; urine, Jones et al. 2011), and one study assigned arsenic exposure based on job title (Jensen and Hansen 1998). Eight studies assessed hypertension as the end point of interest (Chen CJ et al. 1995; Chen Y 2007; Guo et al. 2007; Jones et al. 2011; Rahman et al. 1999; Wang SL et al. 2007; Yildiz et al. 2008; Zierold et al. 2004), five studies reported differences in mean SBP (Chen Y et al. 2007; Dastgiri et al. 2010; Jensen and Hansen 1998; Jones et al. 2011; Kwok et al. 2007), and four studies reported differences in mean DBP (Chen Y et al. 2007; Dastgiri et al. 2010; Jones et al. 2011; Kwok et al. 2007).

Table 1

Epidemiological studies of arsenic exposure and blood pressure end points.

ReferencenPercent menArsenicDefinition of hypertensionNo. of casesAdjustment variables
CountryPopulationAge MarkerMean ± SDRangeSBP/DBP determinations
Moderate to high arsenic levels in drinking water (average ≥ 50 μg/L) or occupationally exposed populations
Chen CJ et al. 1995Southwest TaiwanGeneral89842.5≥ 30 yearsCAE in groundwaterNR0 to > 18.5 mg/L-yearsMean of three SBP and DBP measures after 20 min of rest with mercury sphygmomanometerSBP ≥ 160 mmHg, DBP ≥ 95 mmHg, HT medication168Age, sex, BMI, diabetes, proteinuria, fasting serum triglycerides
Jensen and Hansen 1998 DenmarkOccupational59NRMean age, 37 yearsOccupational exposure (confirmed in urine)Exposed,a 14.8 μg /g creatinine Unexposed, 7.9 μg /gExposed,a 7.6–195.6 Unexposed, 3.9–29.1Mean of three SBP and DBP measures after 10 min of rest with digital equipmentNANANone
Rahman et al. 1999Central and eastern BangladeshGeneral1,59559.730–85 yearsCAE in groundwaterNR0 to > 10 mg/L-years Lowest BP of three measures used; two additional measurements taken for individuals w/HTSBP ≥ 140 mmHg and/or DBP ≥ 90 mmHg207Age, sex, BMI
Chen Y et al. 2007Araihazar, BangladeshGeneral11,45842.8≥ 18 yearsTWA concentration in groundwaterNR0.1–864.0 μg/LSBP and DBP measured by trained clinicians with automatic sphygmomanometer after 2–3 min of rest Two or more measures taken for persons with SBP/DBP ≥ 140/90 mmHg at first measure Lowest BP usedSBP ≥ 140 mmHg and/or DBP ≥ 90 mmHg1,360Age, sex, BMI, smoking, education, daily water consumption
Guo et al. 2007Inner Mongolia, ChinaGeneral869NAChildbearing ageHigh vs. low arsenic in waterNR50–1,860 μg/LNANR56None
Kwok et al. 2007Inner Mongolia, ChinaGeneral (postpartum)3,2600.017–45 yearsIndividual groundwater concentrationNR< LODa to > 100 μg/LSBP and DBP measured after 5 min of rest at 6 weeks postpartum using appropriately sized cuffNANAAge, body weight
Yildiz et al. 2008Dulkadir and Alikoy, TurkeyGeneral80100Mean age, 35 yearsHigh vs. low arsenic in water659 ± 323 μg/L422–1,066 μg/LNRNR14None
Dastgiri et al. 2010Ghopuz and Mayan, IranGeneral20842.7≥ 6 years; mean age, 33 yearsHigh vs. low arsenic in water1.031 mg/LNRSBP and DBP measured once after 10 min rest using portable sphygmomanometerNANANone
Low arsenic levels in drinking water (average < 50 μg/L)
Zierold et al. 2004Wisconsin, USAGeneral1,185NA≥ 35 yearsIndividual groundwater concentrationMedian, 2 μg/L0–2,389 μg/LNASelf-reportedNRAge, sex, BMI, smoking
Wang SL et al. 2007 Central TaiwanGeneral43244.235–64 yearsHair, total arsenic0.071 μg/g creatinineNRMean of two SBP and DBP measures using mercury sphygmomanometer with appropriately sized cuff Two measures carried out 30 min apart; if difference > 5%, BP measured third time and two closest usedSBP ≥ 140 mmHg and/or DBP ≥ 90 mmHg, HT medicationNRNone
Jones et al. 2011USAGeneral4,16749.0Mean age, 47.7 yearsUrine arsenic (μg/L)Median, 8.3 μg/L< 0.6 to > 17.1 μg/LMean of three or four SBP and DBP measures by certified examiners using appropriately sized cuff after 5 min restSBP ≥ 140 mmHg and/or DBP ≥ 90 mmHg, HT medication1,761Age, sex, race, ethnicity, urine creatinine, education, BMI, serum cotinine, arsenobetaine
Abbreviations: BP, blood pressure; CAE, cumulative arsenic exposure, assessed by measuring the arsenic concentration in groundwater at the village level multiplied by the drinking duration at the individual level (Chen CJ et al. 1995); HT, hypertension; LOD, limit of detection; NA, not available; NR, not reported; TWA, time-weighted arsenic concentration, calculated as ΣCiTiTi, where “Ci and Ti denote the well arsenic concentration and drinking duration for the ith well” (Chen Y et al. 2007). aNot used in the statistical analysis; reported exclusively to confirm arsenic differences in exposed and unexposed participants.

Quality assessment. Five studies measured arsenic in drinking water at the individual level (Chen Y et al. 2007; Jones et al. 2011; Kwok et al. 2007; Wang SL et al. 2007; Yildiz et al. 2008); three of these studies measured individual arsenic exposure based on measured well water concentrations (Chen Y et al. 2007; Kwok et al. 2007; Yildiz et al. 2008), and two studies used a biomarker of exposure (Table 2) (Jones et al. 2011; Wang SL et al. 2007). Five studies defined hypertension based on established cutoffs for SBP and DBP levels measured with a standardized protocol and self-reported physician diagnosis or antihypertensive treatment (Chen CJ et al. 1995; Chen Y 2007; Jones et al. 2011; Rahman et al. 1999; Wang SL et al. 2007). Five of the 11 studies did not adjust for potential confounders (Dastgiri et al. 2010; Guo et al. 2007; Jensen and Hansen 1998; Wang SL et al. 2007; Yildiz et al. 2008). Other studies adjusted at least for age, sex, and BMI.

Table 2

Criteria for evaluation of design and data analysis of epidemiological studies on arsenic and hypertension.a

Moderate to high arsenic levels (average ≥ 50 μg/L)bLow arsenic levels (average < 50 μg/L)c
CriteriaChen CJ et al. 1995Jensen and Hansen 1998 Rahman et al. 1999Chen Y et al. 2007Guo et al. 2007Kwok et al. 2007Yildiz et al. 2008Dastgiri et al. 2010Zierold et al. 2004Wang SL et al. 2007Jones et al. 2011
BP was measured on participant in a seated position, using multiple SDP and DBP measures on the same arm with an appropriately sized cuff and after several minutes of restdYesYesYesYesNoYesNoNoNoYesYes
Standardized hypertension definitionYesYesYesNoNoNoYesYes
Arsenic exposure assessed using a biomarkerNoNoNoNoNoNoNoNoNoYesYes
Arsenic exposure assessed at the individual levelNoNoNoYesNoYesNoNoYesYesYes
Response rate at least 70%YesNoYesYesNoNoNoYesNoNoYes
Interviewer was blinded with respect to the participant case or exposure statusYesNoNoYesNoYesNoNoYesYesYes
Same exclusion criteria applied to all participantsYesNoYesYesYesYesYesYesYesYesYes
Data collected in a similar manner for all participantsYesYesYesYesYesYesYesYesYesYesYes
Noncases would have been cases had they developed hypertensionYesYesYesNoNoNoYesYes
Authors controlled for relevant confounding factors in addition to age, sex, and BMIYesNoYesYesNoYesNoNoYesNoYes
—, Not applicable. aCriteria modified from Longnecker et al. (1988) and Appel et al. (2002). bArsenic exposure via drinking water or occupation. cArsenic exposure via drinking water only. dStudies indicating that they used the WHO protocol were considered to meet the criteria for blood pressure measurement.

ORs estimates for hypertension. For the association of hypertension with arsenic exposure, five of the eight studies found a positive association (Chen CJ et al. 1995; Guo et al. 2007; Rahman et al. 1999; Wang SL et al. 2007; Zierold et al. 2004). Among the studies that assessed hypertension at moderate to high levels of exposure, the OR estimates comparing highest with lowest arsenic exposure groups ranged from 0.71 (95% CI: 0.18, 2.63) in a small study in Turkey (Yildiz et al. 2008) to 16.5 (95% CI: 2.8, 668.5) in a study in Inner Mongolia (Figure 2) (Guo et al. 2007). The two studies from Bangladesh provided inconsistent results: an OR of 3.0 (95% CI: 1.5, 5.8) in the study by Rahman et al. (1999) and an OR of 1.02 (95% CI: 0.84, 1.23) in the study by Chen Y et al. (2007). Among the studies that assessed hypertension at low levels of exposure, the OR estimates comparing highest with lowest arsenic exposure groups ranged from 1.17 (95% CI: 0.75, 1.83) in a study in the general U.S. population (Jones et al. 2011) to 2.00 (95% CI: 1.21, 3.31) in a study in central Taiwan (Wang SL et al. 2007).

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ORs of hypertension by arsenic exposure levels. The area of each square is proportional to the inverse of the variance of the estimated log OR. Horizontal lines represent 95% CIs. In the Chen Y et al. (2007) study, arsenic concentrations in drinking water were estimated based on time-weighted arsenic concentrations (ΣCiTi Ti, where “Ci and Ti denote the well arsenic concentration and drinking duration for the ith well”).

The pooled OR of hypertension comparing the highest and lowest arsenic exposure categories in the eight studies with available information on hypertension was 1.27 (95% CI: 1.09, 1.47; p-value for heterogeneity = 0.001; I2 = 70.2%). The corresponding pooled OR in the five studies with moderate to high arsenic exposure was 1.15 (95% CI: 0.96, 1.37; p-value for heterogeneity = 0.002; I2 = 76.6%), with the study by Chen Y et al. (2007) being highly influential. Excluding that study, the pooled OR was 2.57 (95% CI: 1.56, 4.24; p-value for heterogeneity = 0.13; I2 = 46.6%). The pooled OR comparing the highest and lowest arsenic exposure categories in the three studies with low arsenic exposure was 1.56 (95% CI: 1.21, 2.01; p-value for heterogeneity = 0.27; I2 = 24.6%). We also restricted the overall pooled analysis to studies with multivariable adjusted ORs (pooled OR = 1.22; 95% CI: 1.04, 1.42) (Chen CJ et al. 1995; Chen Y 2007; Jones et al. 2011; Rahman et al. 1999; Zierold et al. 2004), studies with a standard hypertension definition (pooled OR = 1.21; 95% CI: 1.03, 1.42) (Chen CJ et al. 1995; Chen Y 2007; Jones et al. 2011; Rahman et al. 1999; Wang SL et al. 2007), and studies with individual assessment of arsenic exposure (pooled OR = 1.19; 95% CI: 1.02, 1.38) (Chen Y et al. 2007; Jones et al. 2011; Wang SL et al. 2007; Zierold et al. 2004). Funnel plots did not suggest the presence of publication or related biases (data not shown).

We evaluated the dose response for six studies with ORs reported for three or more categories (Figure 3) (Chen CJ et al. 1995; Chen Y 2007; Jones et al. 2011; Rahman et al. 1999; Wang SL et al. 2007; Zierold et al. 2004). Among them, the Chen Y et al. (2007) study in Bangladesh showed no dose–response relationship. Compared with the baseline category, the other study from Bangladesh (Rahman et al. 1999) and the study from Taiwan (Chen CJ et al. 1995) showed increased prevalence of hypertension for most of the arsenic exposure categories. Studies conducted at low levels of exposure in drinking water (Jones et al. 2011; Wang SL et al. 2007; Zierold et al. 2004) showed an increased prevalence of hypertension throughout the range of arsenic exposure levels, although the association was not statistically significant for the intermediate arsenic categories.

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Evaluation of dose response for arsenic exposure and hypertension. Blue symbols indicate studies conducted in populations with low arsenic levels in drinking water (average < 50 μg/L); black symbols indicate studies conducted in populations with moderate-to-high arsenic levels in drinking water (average > 50 μg/L). The size of each data point is inversely weighted based on the inverse of the variance of the estimated log OR. For the Wang SL et al. (2007) study, actual arsenic levels for each hair tertile were not provided, and values defining the arsenic exposure tertiles were approximated based on the geometric mean of hair arsenic.

Difference in BP level estimates. For the association of arsenic exposure with BP levels, three of five studies found a positive association with SBP (Dastgiri et al. 2010; Jensen and Hansen 1998; Kwok et al. 2007), and two of four studies found a positive association with DBP (Figure 4) (Dastgiri et al. 2010; Kwok et al. 2007). The difference in BP levels comparing the highest and lowest arsenic exposure categories ranged from –0.79 to 30.0 mmHg for SBP and from –0.65 to 11.04 mmHg for DBP. Only two studies adjusted for hypertension risk factors (Jones et al. 2011; Kwok et al. 2007).

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Difference (95% CI) in mean SBP and DBP by arsenic exposure level. The area of each square is proportional to the inverse of the variance of the estimated. NA: not available [the study by Chen Y et al. (2007) did not include standard errors or data that would allow estimation of the standard errors for mean systolic and diastolic blood pressure SBP and DBP levels, and a 95% CI could not be calculated for this study]. aProfessions include taxidermists, garden fence makers, weekend cottage constructors, wood impregnators, electric pylon impregnators, and new house constructors (Jensen and Hansen 1998).

Discussion

This systematic review identified an association between arsenic exposure and the prevalence of hypertension. The association was present both in studies conducted in areas with moderate-to-high arsenic exposure levels and in studies conducted in areas with low exposure levels. A clear dose–response was observed in several studies, and experimental evidence supports the hypertensive effects of arsenic. The interpretation of this association regarding the causal effect of arsenic on hypertension, however, is limited by the small number of studies, the heterogeneity across studies, and the absence of prospective evidence. In addition, some studies were affected by additional methodological limitations such as the lack of standard hypertension definitions, individual assessment of arsenic exposure, or appropriate adjustment for relevant confounders. The evidence is particularly scarce for low levels of exposure and for evaluating the association with SBP and DBP levels as continuous outcomes. Overall, the evidence is suggestive but insufficient to infer a causal relationship between environmental arsenic exposure and hypertension.

Two studies from areas with high arsenic levels in drinking water in southwestern Taiwan (Chen CJ et al. 1995) and Bangladesh (Rahman et al. 1999) and two studies conducted in areas with low levels of arsenic in drinking water in Wisconsin (Zierold et al. 2004) and central Taiwan (Wang SL et al. 2007) showed consistent associations of arsenic exposure with the prevalence of hypertension. These four studies also showed a consistent dose–response increase in the prevalence of hypertension with increasing arsenic exposure.

Discrepancies in the association between arsenic and the prevalence of hypertension were observed in four studies (Chen Y et al. 2007; Dastgiri et al. 2010; Guo et al. 2007; Yildiz et al. 2008). The study with the strongest association (OR = 16.54; Guo et al. 2007) and the study with the inverse association (OR = 0.71; Yildiz et al. 2008) had small numbers of cases, provided no definition of hypertension, and incorporated no adjustment for relevant confounders. Both studies were highly imprecise with large CIs. The two null studies were large high-quality studies conducted in Bangladesh and the United States (Chen Y et al. 2007; Jones et al. 2011). The study in Bangladesh found no dose–response relationship, despite assessing arsenic at the individual level and defining hypertension based on BP measures (Chen Y et al. 2007). However, this study did find an association between arsenic levels in drinking water with systolic hypertension and pulse pressure levels among participants with low folate and vitamin B intake levels (Chen Y et al. 2007), whereas subgroup analyses by folate and vitamin B concentrations were conducted in the study in the general U.S. population, with no differences (Jones et al. 2011). In the study conducted among the general U.S. population, the association between arsenic exposure and hypertension was not statistically significant, and it was consistent with no association (Jones et al. 2011). However, the magnitude of the association was compatible with a small increased prevalence of hypertension and consistent with the dose–response trend observed in other studies conducted at low-to-moderate exposure levels in Wisconsin and central Taiwan (Jones et al. 2011; Wang SL et al. 2007; Zierold et al. 2004).

The potential association between exposure to inorganic arsenic and the development of hypertension is supported by experimental and mechanistic evidence, especially at high exposure levels. Arsenic promotes inflammation activity, oxidative stress, and endothelial dysfunction through several mechanisms including the activation of stress response transcription factors such as activator protein-1 and nuclear factor-κB (Bunderson et al. 2002; Carmignani et al. 1985; Chen Y et al. 2007; Druwe and Vaillancourt 2010; Pi et al. 2000). In vitro, arsenite altered vascular tone in blood vessels by suppressing vasorelaxation (Lee et al. 2003) and increased the expression of cyclooxygenase-2 in endothelial cells (Bunderson et al. 2002; Tsai et al. 2002). In animal models, arsenite increased superoxide accumulation and impaired nitric oxide formation in endothelial cells (Barchowsky et al. 1996, 1999; Lee et al. 2005). Finally, the hypertensive effects of arsenic could be related to the possible chronic kidney effects of arsenic (Chen JW et al. 2011; Hsueh et al. 2009). Additional experimental studies using arsenic exposure levels relevant to human populations are needed to characterize the etiopathogenesis of potential hypertensive effects of arsenic.

Conclusions

This is the first systematic review and meta-analysis evaluating the relationship between arsenic exposure and hypertension end points. We identified a positive association between elevated arsenic exposure and the prevalence of hypertension, but the implications of this association from a causal perspective are unclear because of the limited number of studies as well as the studies’ cross-sectional design, and methodological limitations. Prospective cohort studies in populations exposed to a wide range of arsenic exposure levels, from low through moderate-to-high levels of exposure, are needed to better characterize the relationship between arsenic and hypertension. Because of the widespread exposure to arsenic worldwide and the high burden of disease caused by hypertension, it is important that high-quality prospective studies are conducted with individual level assessment of arsenic exposure and standardized measurements of BP. The studies should evaluate the shape of the dose response and whether the magnitude of the association is different in susceptible populations, including populations with nutritional deficiencies. If the hypertensive effects of arsenic are confirmed, they could partly explain the association between arsenic and cardiovascular disease (Chen Y et al. 2011; Medrano et al. 2010; Navas-Acien et al. 2005; Smedley and Kinniburgh 2002; DHHS 2005; Wang CH et al. 2007; Wu et al. 1989). Given the widespread arsenic exposure through drinking water and food, even a modest effect of arsenic on hypertension could have a substantial impact on morbidity and mortality (Kwok 2007; Manson et al. 1992).

Footnotes

This research was supported by grant R01HL090863 from the National Heart, Lung, and Blood Institute.

The authors declare they have no actual or potential competing financial interests.

References

  • Aposhian HV, Zakharyan RA, Avram MD, Kopplin MJ, Wollenberg ML. Oxidation and detoxification of trivalent arsenic species. Toxicol Appl Pharmacol. 2003;193:1–8. [PubMed] [Google Scholar]
  • Appel LJ, Robinson KA, Guallar E, Erlinger T, Masood SO, Jehn M, et al. Utility of blood pressure monitoring outside of the clinic setting. Evid Rep Technol Assess (Summ) 2002;63:1–5. [PMC free article] [PubMed] [Google Scholar]
  • Balakumar P, Kaur T, Singh M. Potential target sites to modulate vascular endothelial dysfunction: current perspectives and future directions. Toxicology. 2008;245:49–64. [PubMed] [Google Scholar]
  • Barchowsky A, Dudek EJ, Treadwell MD, Wetterhahn KE. Arsenic induces oxidant stress and NF-κB activation in cultured aortic endothelial cells. Free Radic Biol Med. 1996;21:783–790. [PubMed] [Google Scholar]
  • Barchowsky A, Roussel RR, Klei LR, James PE, Ganju N, Smith KR, et al. Low levels of arsenic trioxide stimulate proliferative signals in primary vascular cells without activating stress effector pathways. Toxicol Appl Pharmacol. 1999;159:65–75. [PubMed] [Google Scholar]
  • Bunderson M, Coffin JD, Beall HD. Arsenic induces peroxynitrite generation and cyclooxygenase-2 protein expression in aortic endothelial cells: possible role in atherosclerosis. Toxicol Appl Pharmacol. 2002;184:11–18. [PubMed] [Google Scholar]
  • Carmignani M, Boscolo P, Castellino N. Metabolic fate and cardiovascular effects of arsenic in rats and rabbits chronically exposed to trivalent and pentavalent arsenic. Arch Toxicol Suppl. 1985;8:452–455. [PubMed] [Google Scholar]
  • Chappell WR, Abernathy CO, Calderon RL, Thomas DJ, eds. Amsterdam: Elsevier; 2002. Arsenic Exposure and Health Effects V: Proceedings of the Fifth International Conference on Arsenic Exposure and Health Effects. [Google Scholar]
  • Chen CJ, Hsueh YM, Lai MS, Shyu MP, Chen SY, Wu MM, et al. Increased prevalence of hypertension and long-term arsenic exposure. Hypertension. 1995;25:53–60. [PubMed] [Google Scholar]
  • Chen JW, Chen HY, Li WF, Liou SH, Chen CJ, Wu JH, Wang SL. The association between total urinary arsenic concentration and renal dysfunction in a community-based population from central Taiwan. Chemosphere. 2011;84:17–24. [PubMed] [Google Scholar]
  • Chen Y, Factor-Litvak P, Howe GR, Graziano JH, Brandt-Rauf P, Parvez F, et al. Arsenic exposure from drinking water, dietary intakes of B vitamins and folate, and risk of high blood pressure in Bangladesh: a population-based, cross-sectional study. Am J Epidemiol. 2007;165:541–552. [PubMed] [Google Scholar]
  • Chen Y, Graziano JH, Parvez F, Liu M, Slavkovich V, Kalra T, et al.2011Arsenic exposure from drinking water and mortality from cardiovascular disease in Bangladesh: prospective cohort study. BMJ 342d2431; doi: 10.1136/bmj.d2431[Online 5 May 2011] [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  • Chilvers DC, Peterson PJ. In: Lead, Mercury, Cadmium and Arsenic in the Environment (Huthcinson TC, Meema KM, eds). Chichester:John Wiley & Sons, 279–303; 1987. Global cycling of arsenic. [Google Scholar]
  • Dastgiri S, Mosaferi M, Fizi MA, Olfati N, Zolali S, Pouladi N, et al. Arsenic exposure, dermatological lesions, hypertension, and chromosomal abnormalities among people in a rural community of northwest Iran. J Health Popul Nutr. 2010;28:14–22. [PMC free article] [PubMed] [Google Scholar]
  • DHHS (Department of Health and Human Services) Washington, DC: U.S. DHHS; 2005. Toxicological Profile for Arsenic. [Google Scholar]
  • Druwe IL, Vaillancourt RR. Influence of arsenate and arsenite on signal transduction pathways: an update. Arch Toxicol. 2010;84:585–596. [PMC free article] [PubMed] [Google Scholar]
  • Guo JX, Hu L, Yand PZ, Tanabe K, Miyatalre M, Chen Y. Chronic arsenic poisoning in drinking water in Inner Mongolia and its associated health effects. J Environ Sci Health A Tox Hazard Subst Environ Eng. 2007. pp. 1853–1858. [PubMed]
  • Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21:1539–1558. [PubMed] [Google Scholar]
  • Hinkle SR, Polette DJ. Portland, OR: U.S. Geological Survey, U.S. Department of the Interior; 1999. Arsenic in Ground Water of the Willamette Basin, Oregon. [Google Scholar]
  • Houston MC. The role of mercury and cadmium heavy metals in vascular disease, hypertension, coronary heart disease, and myocardial infarction. Altern Ther Health Med. 2007;13:S128–S133. [PubMed] [Google Scholar]
  • Hsueh YM, Chung CJ, Shiue HS, Chen JB, Chiang SS, Yang MH, et al. Urinary arsenic species and CKD in a Taiwanese population: a case-control study. Am J Kidney Dis. 2009;54:859–870. [PubMed] [Google Scholar]
  • Hsueh YM, Lin P, Chen HW, Shiue HS, Chung CJ, Tsai CT, et al. Genetic polymorphisms of oxidative and antioxidant enzymes and arsenic-related hypertension. J Toxicol Environ Health A. 2005;68:1471–1484. [PubMed] [Google Scholar]
  • Huang YK, Tseng CH, Huang YL, Yang MH, Chen CJ, Hsueh YM. Arsenic methylation capability and hypertension risk in subjects living in arseniasis-hyperendemic areas in southwestern Taiwan. Toxicol Appl Pharmacol. 2007;218:135–142. [PubMed] [Google Scholar]
  • Jensen GE, Hansen ML. Occupational arsenic exposure and glycosylated haemoglobin. Analyst. 1998;123:77–80. [PubMed] [Google Scholar]
  • Jones MR, Tellez-Plaza M, Sharrett AR, Guallar E, Navas-Acien A. Urine arsenic and hypertension in US adults: the 2003–2008 National Health and Nutrition Examination Survey. Epidemiology. 2011;22:153–161. [PMC free article] [PubMed] [Google Scholar]
  • Klahr S. The role of nitric oxide in hypertension and renal disease progression. Nephrol Dial Transplant. 2001;16(suppl 1):60–62. [PubMed] [Google Scholar]
  • Kwok RK. A review and rationale for studying the cardiovascular effects of drinking water arsenic in women of reproductive age. Toxicol Appl Pharmacol. 2007;222:344–350. [PubMed] [Google Scholar]
  • Kwok RK, Mendola P, Liu ZY, Savitz DA, Heiss G, Ling HL, et al. Drinking water arsenic exposure and blood pressure in healthy women of reproductive age in Inner Mongolia, China. Toxicol Appl Pharmacol. 2007;222:337–343. [PubMed] [Google Scholar]
  • Laclaustra M, Navas-Acien A, Stranges S, Ordovas JM, Guallar E. Serum selenium concentrations and hypertension in the US population. Circ Cardiovasc Qual Outcomes. 2009;2:369–376. [PMC free article] [PubMed] [Google Scholar]
  • Lee MY, Jung BI, Chung SM, Bae ON, Lee JY, Park JD, et al. Arsenic-induced dysfunction in relaxation of blood vessels. Environ Health Perspect. 2003;111:513–517. [PMC free article] [PubMed] [Google Scholar]
  • Lee PC, Ho IC, Lee TC. Oxidative stress mediates sodium arsenite-induced expression of heme oxygenase-1, monocyte chemoattractant protein-1, and interleukin-6 in vascular smooth muscle cells. Toxicol Sci. 2005;85:541–550. [PubMed] [Google Scholar]
  • Lewis DR, Southwick JW, Ouellet-Hellstrom R, Rench J, Calderon RL. Drinking water arsenic in Utah: a cohort mortality study. Environ Health Perspect. 1999;107:359–365. [PMC free article] [PubMed] [Google Scholar]
  • Longnecker MP, Berlin JA, Orza MJ, Chalmers TC. A meta-analysis of alcohol consumption in relation to risk of breast cancer. JAMA. 1988;260:652–656. [PubMed] [Google Scholar]
  • Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ. Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data. Lancet. 2006;367:1747–1757. [PubMed] [Google Scholar]
  • Manson JE, Tosteson H, Ridker PM, Satterfield S, Hebert P, O’Connor GT, et al. The primary prevention of myocardial infarction. N Engl J Med. 1992;326:1406–1416. [PubMed] [Google Scholar]
  • Medrano MA, Boix R, Pastor-Barriuso R, Palau M, Damian J, Ramis R, et al. Arsenic in public water supplies and cardiovascular mortality in Spain. Environ Res. 2010;110:448–454. [PubMed] [Google Scholar]
  • Mukherjee A, Sengupta MK, Hossain MA, Ahamed S, Das B, Nayak B, et al. Arsenic contamination in groundwater: a global perspective with emphasis on the Asian scenario. J Health Popul Nutr. 2006;24:142–163. [PubMed] [Google Scholar]
  • Murray CJ, Lopez AD. Mortality by cause for eight regions of the world: Global Burden of Disease Study. Lancet. 1997;349:1269–1276. [PubMed] [Google Scholar]
  • Navas-Acien A, Guallar E, Silbergeld EK, Rothenberg SJ. Lead exposure and cardiovascular disease—a systematic review. Environ Health Perspect. 2007;115:472–482. [PMC free article] [PubMed] [Google Scholar]
  • Navas-Acien A, Schwartz BS, Rothenberg SJ, Hu H, Silbergeld EK, Guallar E. Bone lead levels and blood pressure endpoints: a meta-analysis. Epidemiology. 2008;19:496–504. [PubMed] [Google Scholar]
  • Navas-Acien A, Sharrett AR, Silbergeld EK, Schwartz BS, Nachman KE, Burke TA, et al. Arsenic exposure and cardiovascular disease: a systematic review of the epidemiologic evidence. Am J Epidemiol. 2005;162:1037–1049. [PubMed] [Google Scholar]
  • Oparil S, Zaman MA, Calhoun DA. Pathogenesis of hypertension. Ann Intern Med. 2003;139:761–776. [PubMed] [Google Scholar]
  • Pi J, Kumagai Y, Sun G, Yamauchi H, Yoshida T, Iso H, et al. Decreased serum concentrations of nitric oxide metabolites among Chinese in an endemic area of chronic arsenic poisoning in Inner Mongolia. Free Radic Biol Med. 2000;28:1137–1142. [PubMed] [Google Scholar]
  • Rahman M, Tondel M, Ahmad SA, Chowdhury IA, Faruquee MH, Axelson O. Hypertension and arsenic exposure in Bangladesh. Hypertension. 1999;33:74–78. [PubMed] [Google Scholar]
  • Smedley PL, Kinniburgh DG. A review of the source, behaviour and distribution of arsenic in natural waters. Appl Geochem. 2002;17:517–568. [Google Scholar]
  • Tellez-Plaza M, Navas-Acien A, Crainiceanu CM, Guallar E. Cadmium exposure and hypertension in the 1999–2004 National Health and Nutrition Examination Survey (NHANES). Environ Health Perspect. 2008;116:51–56. [PMC free article] [PubMed] [Google Scholar]
  • Tsai SH, Liang YC, Chen L, Ho FM, Hsieh MS, Lin JK. Arsenite stimulates cyclooxygenase-2 expression through activating IκB kinase and nuclear factor κB in primary and ECV304 endothelial cells. J Cell Biochem. 2002;84:750–758. [PubMed] [Google Scholar]
  • Vaziri ND. Mechanisms of lead-induced hypertension and cardiovascular disease. Am J Physiol Heart Circ Physiol. 2008;295:H454–H465. [PMC free article] [PubMed] [Google Scholar]
  • Wang CH, Hsiao CK, Chen CL, Hsu LI, Chiou HY, Chen SY, et al. A review of the epidemiologic literature on the role of environmental arsenic exposure and cardiovascular diseases. Toxicol Appl Pharmacol. 2007;222:315–326. [PubMed] [Google Scholar]
  • Wang SL, Chang FH, Liou SH, Wang HJ, Li WF, Hsieh DP. Inorganic arsenic exposure and its relation to metabolic syndrome in an industrial area of Taiwan. Environ Int. 2007;33:805–811. [PubMed] [Google Scholar]
  • Whitworth JA. 2003 World Health Organization (WHO)/International Society of Hypertension (ISH) statement on management of hypertension. J Hypertens. 2003;21:1983–1992. [PubMed] [Google Scholar]
  • Wu MM, Kuo TL, Hwang YH, Chen CJ. Dose–response relation between arsenic concentration in well water and mortality from cancers and vascular diseases. Am J Epidemiol. 1989;130:1123–1132. [PubMed] [Google Scholar]
  • Yildiz A, Karaca M, Biceroglu S, Nalbantcilar MT, Coskun U, Arik F, et al. Effect of chronic arsenic exposure from drinking waters on the QT interval and transmural dispersion of repolarization. J Int Med Res. 2008;36:471–478. [PubMed] [Google Scholar]
  • Zierold KM, Knobeloch L, Anderson H. Prevalence of chronic diseases in adults exposed to arsenic-contaminated drinking water. Am J Public Health. 2004;94:1936–1937. [PMC free article] [PubMed] [Google Scholar]

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