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(Hypertension. 1999;33:74-78.)
© 1999 American Heart Association, Inc.
Scientific Contributions |
From the Division of Occupational and Environmental Medicine (M.R., M.T., O.A.), Department of Health & Environment, Faculty of Health Sciences, Linköping University, Linköping, Sweden; the Department of Occupational and Environmental Health (S.A.A., M.H.F.), National Institute of Preventive and Social Medicine, Mohakhali, Dhaka 1212, Bangladesh; and the Radda-MCH FP Center, Mirpur (I.A.C.), Dhaka, 1216, Bangladesh.
| Abstract |
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30 years of age. The interview
was based on a questionnaire, and arsenic exposure was estimated from
the history of well-water consumption and current arsenic levels. Of
the 1595 subjects studied, 1481 had a history of arsenic-contaminated
drinking water, whereas 114 had not. Time-weighted mean arsenic levels
(in milligrams per liter) and milligram-years per liter of
arsenic exposure were estimated for each subject. Exposure categories
were assessed as <0.5 mg/L, 0.5 to 1.0 mg/L, and >1.0 mg/L and
alternatively as <1.0 mg-y/L, 1.0 to 5.0 mg-y/L, >5.0 but
10.0
mg-y/L, and >10.0 mg-y/L, respectively. Hypertension was defined as a
systolic blood pressure of
140 mm Hg in combination
with a diastolic blood pressure of
90 mm Hg.
Corresponding to the exposure categories, and using "unexposed" as
the reference, the prevalence ratios for hypertension adjusted for age,
sex, and body mass index were 1.2, 2.2, 2.5 and 0.8, 1.5, 2.2, 3.0, in
relation to arsenic exposure in milligrams per liter and
milligram-years per liter, respectively. The indicated dose-response
relationships were significant (P
0.001) for both
series of risk estimates. These results suggest that arsenic exposure
may induce hypertension in humans.
Key Words: body mass index environment epidemiology arsenic water consumption risk factors vascular diseases
| Introduction |
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Recently, a study from Taiwan has shown an increased risk of hypertension with a dose-response relationship in a population that consumed arsenic-contaminated artesian well water.8 Exposure to arsenic in drinking water has also been reported as a risk factor for diabetes mellitus in Taiwan9 and Bangladesh.10 Diabetes mellitus related to occupational arsenic exposure has been observed in Sweden.11 12
Arsenic is known to cause blackfoot disease, a unique peripheral vascular disease that frequently ends with dry gangrene and amputation of the affected extremities.6 An atherosclerotic effect of arsenic has also been indicated, and peripheral vascular disease has been observed not only among individuals exposed to arsenic in drinking water13 14 15 16 but also among Moselle vintners chronically exposed to arsenic.6 Primary copper smelter workers with exposure to arsenic have altered blood vessel function and Raynaud's phenomenon.17 Increased mortality from cardiovascular disease has been observed among copper smelter workers18 and art glass workers,19 both worker groups exposed to arsenic. An excess mortality from cardiovascular disease among residents in Taiwan, Chile, and Japan has been associated with environmental exposure to arsenic in drinking water.6
Existing reports on high arsenic levels in drinking water in Bangladesh and earlier epidemiological experience in this country10 led us to conduct the present study, which includes a comparison of the prevalence of hypertension among residents with and those without exposure to arsenic and also an elucidation of possible dose-response relationships.
| Methods |
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To find a gradient of arsenic levels within the 4 villages, we went through existing water measurements of present arsenic concentrations in the water; only a few wells in these villages were not contaminated with arsenic. Residents in the area with contaminated wells were considered to have been exposed to arsenic for a long time.1 2 3 The population of the Samta village of the Jessore district and the Tepakhola village of the Faridpur district had the highest exposures to arsenic. The 2 other villages were Sonakhandi of the Narayongong district and Razarampur of the Nawabgong district.
All persons who had lived in the study areas throughout their lives
were considered eligible for the study. A total of
4000 individuals
were initially identified, but many of these individuals were <30
years of age and therefore were unlikely to have hypertension. The
remaining part of the population, those eligible for an interview and
examination, encompassed 1794 subjects; all of them had used the same
well as long as it had existed. A total of 1595 subjects agreed to
participate in the study when contacted and were interviewed by means
of a questionnaire and examined at their homes by a door-to-door visit.
Of these 1595 subjects, 114 turned out to be unexposed (ie, to have
used water from wells that had nondetectable arsenic levels). Exposed
and unexposed subjects both were recruited in all 4 villages.
Questionnaire Interview and Exposure Assessment
The personal interview was standardized by means of a
questionnaire and was carried out by some of the authors (M.R, M.H.F,
A.A). The information obtained from the interview included a
residential history, a history of water consumption including water
source, and duration of use of drinking water from a particular
well.
The information regarding existing measurements of arsenic in drinking water came from various sources, including our previous study,10 an official report of water analysis performed by the National Institute of Preventive and Social Medicine (NIPSOM),20 and a scientific survey conducted by NIPSOM (unpublished report). All arsenic concentrations were determined by flow-injection hydride generation atomic absorption spectrometry.
Individual exposure was calculated in 2 ways. First, we assessed the mean arsenic exposure for each subject; in principle, a time-weighted average. Because the subjects had lived all their lives in the same place, this time-weighted average was taken to be equal to the measured concentration. Arsenic concentrations may have been different in the past, but no reliable information is available on this subject. The resulting estimates were then categorized as I, II, and III, corresponding to arsenic concentrations of <0.5 mg/L, 0.5 to 1.0 mg/L, and >1.0 mg/L, respectively.
Second, exposure to arsenic was calculated for each subject by
multiplying the arsenic concentration in the well by the number of
years that it had been used by the individual (obtaining
milligram-years per liter), assuming that the current levels of arsenic
in the well water were representative also of the past.
The resulting estimates were then categorized as <1.0 mg-y/L, 1.0 to
5.0 mg-y/L, >5.0 to
10.0 mg-y/L, and >10.0 mg-y/L,
respectively.
Standing height and body weight were measured with the subjects wearing light clothes but no shoes. Individual body mass index (BMI) was calculated as weight (in kilograms) divided by height (in meters squared).
Blood Pressure Measurements and Hypertensive Status
The definition of hypertension is controversial. For this study
we defined hypertension as a systolic blood pressure
140
mm Hg combined with a diastolic blood pressure
90
mm Hg, as used elsewhere.21 No other cut points were used
with these data.
Blood pressure was taken after rest and relaxation for at least 15 minutes in sitting position according to the protocol recommended by the World Health Organization.22 Blood pressure was measured 3 times, and the lowest value was taken as the proper value for this study. For the subjects who had hypertension, blood pressure was rechecked during 2 additional visits (once per visit). The mean of the systolic and diastolic blood pressures from these 3 occasions was used in the study and recorded as the closest multiple of 5. A mean blood pressure was also calculated as diastolic blood pressure plus one third of the pulse pressure, the latter being the systolic minus the diastolic blood pressure.
Data Analysis
Data were stratified according to age (30 to 44, 45 to 60, and
>60 years of age), sex, and BMI; the respective BMI categories were
<19, 19 to 22, and >22, respectively. Mantel-Haenszelweighted
prevalence ratios (MH-PR) with 95% confidence intervals (95% CI) and
a test of the dose-response relationship among the exposed were
obtained by means of the Epi-Info package.23 A linear
regression model was also applied regarding the mean blood pressure in
relation to arsenic exposure in terms of both milligrams per liter and
milligram-years per liter.
| Results |
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Table 1
shows exposed and
unexposed subjects according to age, sex, and BMI. The crude overall
prevalence ratio (or risk) for hypertension amounted to 1.7 (95% CI,
0.8 to 3.3). After adjusting for age, sex, and BMI, the prevalence
ratio was somewhat increased (MH-PR, 1.9; 95% CI, 1.0 to 3.6). The
overall crude prevalence ratio for men was 2.1 (95% CI, 0.7 to 6.5),
and for women 1.5 (95% CI, 0.7 to 3.4). After adjusting for age and
BMI, the prevalence ratio for men slightly decreased, to 2.0 (95% CI,
0.6 to 6.1), but for women it increased (MH-PR, 1.8; 95% CI, 0.8 to
4.0).
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As shown in Table 2
, there was an
increase of the prevalence ratio by increasing exposure, ie, 1.0, 2.0,
and 2.5, using unexposed as the reference. After adjusting for age,
sex, and BMI and with the same reference, the prevalence ratios were
somewhat increased, to 1.2, 2.2, and 2.5 for the exposure categories I,
II, and III, respectively. This dose-response relationship was
statistically significant (P
0.001).
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When the different categories of milligram-years per liter of arsenic
exposure were considered and adjustment was made for age, sex, and BMI,
the prevalence ratios were 0.8, 1.5, 2.2, and 3.0 for the exposure
categories <1.0, 1.0 to 5.0, >5.0 to
10.0, and >10.0 mg-y/L,
respectively, compared with those not exposed, and there was
significant a dose-response relationship (P
0.001; Table 3
).
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In a linear regression model, which took into account age, sex, and BMI, there was an increase of the mean blood pressure by 3.40 mm Hg per mg/L and by 0.26 mm Hg per mg-y/L of arsenic exposure (data not shown). The increase in mean blood pressure in both series of exposure categories was statistically significant (P<0.001).
| Discussion |
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Another aspect for discussion is that the procedure for recruiting subjects could have favored the participation of those who suffered from some disease. However, the subjects included in the study represent a very poor population of Bangladesh who are virtually without health care for diseases that are not directly life-threatening. This circumstance may explain why none of the interviewed subjects gave a personal or family history of hypertension or diabetes mellitus; also, none were being treated with antihypertensive agents. Furthermore, hypertension is an asymptomatic disease and therefore is unlikely to influence the participation of the subjects; a selection bias is therefore unlikely in this respect. An observation bias is possible in so far as the observer could have had some idea of the exposure status of the subjects but not their level of exposure. It is therefore unlikely that an observation bias of this kind could have created the observed dose-response relationship, but a fully blinded situation for the examination would have been desirable. Application of various cut points to continuous variables such as blood pressure could lead to different results but would hardly create a dose-response relationship; however, here we applied only the cut points shown. The regression analysis, which requires no cut points, also indicated a dose-response relationship.
A potential confounding factor could also be the use of contraceptive pills. However, the use of pills rather than intrauterine devices is rare in rural Bangladesh, and it is unlikely that there would be any difference in this respect in relation to degree of exposure. The same argument of "no relation to the exposure" applies to physical activity and the 199 individuals who did not participate in the health examination. They were not available at the time of examination mainly because of work in the fields.
It is not known whether other contaminants (eg, other trace elements, such as sodium, magnesium, manganese, iron, mercury, chromium, lead, and fluoride) could be present in the water together with arsenic. However, there is no evidence of any remarkable presence of such trace elements in the study area, nor is it clear whether such elements would have any stronger influence on blood pressure.
Directly measured individual exposure over time would have been desirable. The estimated arsenic exposure obviously cannot include any time trends or likely fluctuations in the exposure depending on precipitation or other circumstances. Nor does it take into account the possibility that certain individuals for shorter periods of time might have used wells other than the usual one but not reported this in the interviews. The amount of water consumed by a person during different periods of his or her lifetime also remains unknown, and therefore it has not been possible to calculate more precisely the cumulative exposure to arsenic. These various limitations lead to uncertainty in assessment of exposure to arsenic, but there was no possibility other than to assume that current arsenic concentrations also are representative of the past. Despite these uncertainties, it is nevertheless reasonable to believe that the available water measurements were proper enough to create the broad exposure categories used in the analysis of the dose-response relationship.
Another limitation of this study could be that not all initially
identified eligible subjects were available for the health examination.
Socioeconomic status and occupations, especially farming, were found to
be fairly similar between all participants, and we believe it is also
valid for the nonparticipants because they belonged to interviewed
families. There was indication of some slight positive confounding for
men (the crude prevalence ratio exceeded the adjusted one), and
negative confounding for women (the adjusted prevalence ratio exceeded
the crude one), regarding age and BMI, as adjusted for (Table 1
). It is unlikely, however, that more narrow categories of age
and BMI would have made much of a difference in the risk estimates.
Long-term arsenic ingestion and development of hypertension has only recently been the subject of epidemiological studies, and the pathogenetic mechanism is unclear. However, peripheral vascular disease, ischemic heart disease, and hypertension have been reported in people who drank water with high arsenic concentrations in Taiwan. Inorganic arsenic induces blackfoot disease and ischemic heart disease, probably through a direct effect on the atherosclerotic process involving endothelial cells, smooth muscle cells, platelets, and macrophages.24 Arsenic has also been reported to induce renal insufficiency with cortical necrosis with hematuria, leukocyturia, and glycosuria.25 Arsenate has been found to inhibit the binding capability of the glucocorticoid receptor,26 to damage the endothelial barrier in the vascular systems, and perhaps to activate the leukocytes and platelets and also to initiate plaque formation.27 Whether arsenic may induce hypertension through any or several of these mechanisms needs further exploration.
Regarding lifetime exposure to arsenic in drinking water, a World Health Organization task group estimated that a concentration of 0.2 mg/L would result in a cumulative skin cancer risk of 5%.6 It is currently unclear whether the risk of getting hypertension from arsenic exposure is greater than or less than the cancer risk. To the best of our knowledge, there has been no other study outside Taiwan besides the current study on hypertension and arsenic exposure. The results of this study clearly corroborate the Taiwanese findings.
| Footnotes |
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Received May 28, 1998; first decision June 23, 1998; accepted September 15, 1998.
| References |
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