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      Groundwater Chemistry and Blood Pressure: A Cross-Sectional Study in Bangladesh

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          Abstract

          Background: We assessed the association of groundwater chemicals with systolic blood pressure (SBP) and diastolic blood pressure (DBP). Methods: Blood pressure data for ≥35-year-olds were from the Bangladesh Demographic and Health Survey in 2011. Groundwater chemicals in 3534 well water samples from Bangladesh were measured by the British Geological Survey (BGS) in 1998–1999. Participants who reported groundwater as their primary source of drinking water were assigned chemical measures from the nearest BGS well. Survey-adjusted linear regression methods were used to assess the association of each groundwater chemical with the log-transformed blood pressure of the participants. Models were adjusted for age, sex, body mass index, smoking status, geographical region, household wealth, rural or urban residence, and educational attainment, and further adjusted for all other groundwater chemicals. Results: One standard deviation (SD) increase in groundwater magnesium was associated with a 0.992 (95% confidence interval (CI): 0.986, 0.998) geometric mean ratio (GMR) of SBP and a 0.991 (95% CI: 0.985, 0.996) GMR of DBP when adjusted for covariates except groundwater chemicals. When additionally adjusted for groundwater chemicals, one SD increase in groundwater magnesium was associated with a 0.984 (95% CI: 0.972, 0.997) GMR of SBP and a 0.990 (95% CI: 0.979, 1.000) GMR of DBP. However, associations were attenuated following Bonferroni-correction for multiple chemical comparisons in the full-adjusted model. Groundwater concentrations of calcium, potassium, silicon, sulfate, barium, zinc, manganese, and iron were not associated with SBP or DBP in the full-adjusted models. Conclusions: Groundwater magnesium had a weak association with lower SBP and DBP of the participants.

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          Multivariate imputation by chained equations (MICE) has emerged as a principled method of dealing with missing data. Despite properties that make MICE particularly useful for large imputation procedures and advances in software development that now make it accessible to many researchers, many psychiatric researchers have not been trained in these methods and few practical resources exist to guide researchers in the implementation of this technique. This paper provides an introduction to the MICE method with a focus on practical aspects and challenges in using this method. A brief review of software programs available to implement MICE and then analyze multiply imputed data is also provided.
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              Health Effects of Arsenic Longitudinal Study (HEALS): description of a multidisciplinary epidemiologic investigation.

              Health Effects of Arsenic Longitudinal Study (HEALS), a multidisciplinary and large prospective cohort study in Araihazar, Bangladesh, was established to evaluate the effects of full-dose range arsenic (As) exposure on various health outcomes, including premalignant and malignant skin tumors, total mortality, pregnancy outcomes, and children's cognitive development. In this paper, we provide descriptions of the study methods including study design, study population, data collection, response rates, and exposure and outcome assessments. We also present characteristics of the study participants including the distribution of exposure and the prevalence of skin lesion at baseline recruitment. A total of 11,746 married men and women between 18 and 75 years of age participated in the study at baseline (a response rate of 98%) and completed a full questionnaire interview that included a food frequency questionnaire, with a response rate of 98%. Among the 98% of the participants who completed the clinical evaluation, over 90% provided blood samples and spot urine samples. Higher educational status, male gender, and presence of premalignant skin lesions were associated with an increased likelihood of providing blood and urine samples. Older participants were less likely to donate a blood sample. About one-third of the participants consumed water from a well with As concentration in each of three groups: >100 microg/l, 25-100 microg/l, and <25 microg/l. Average urinary As concentrations were 140 and 136 microg/l for males and females, respectively. HEALS has several unique features, including a prospective study design, comprehensive assessments of both past and future changes in As exposure at the individual level, a large repository of biological samples, and a full dose range of As exposures in the study population. HEALS is a valuable resource for examining novel research questions on the health effects of As exposure.
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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                28 June 2019
                July 2019
                : 16
                : 13
                : 2289
                Affiliations
                [1 ]Department of Environmental Health, Emory University, Atlanta, GA 30322, USA
                [2 ]Emory Global Diabetes Research Center, Department of Global Health, Emory University, Atlanta, GA 30322, USA
                [3 ]Woods Institute for the Environment, Stanford University, Stanford, CA 94305, USA
                [4 ]International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka 1000, Bangladesh
                [5 ]Department of Geology, University of Dhaka, Dhaka 1000, Bangladesh
                [6 ]Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, USA
                [7 ]Institute for Risk and Disaster Reduction, University College London, London WC1E 6BT, UK
                [8 ]Department of Environmental and Ocean Sciences, University of San Diego, San Diego, CA 92110, USA
                Author notes
                [* ]Correspondence: atitu@ 123456emory.edu
                Author information
                https://orcid.org/0000-0002-1347-4446
                https://orcid.org/0000-0003-4062-5788
                https://orcid.org/0000-0001-6879-7149
                https://orcid.org/0000-0002-9708-7223
                https://orcid.org/0000-0002-5174-8006
                https://orcid.org/0000-0002-1614-2981
                Article
                ijerph-16-02289
                10.3390/ijerph16132289
                6651438
                31261639
                549c92d5-0654-4e50-bb84-d052c0e7a9d7
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 29 May 2019
                : 25 June 2019
                Categories
                Article

                Public health
                medical geology,groundwater,chemical mixtures,blood pressure,exposure mixtures,exposure combinations

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