Arsenic and fasting blood glucose in the context of other drinking water chemicals: a cross-sectional study in Bangladesh
The goal of this study was to evaluate the association between groundwater arsenic and fasting blood glucose in the context of other groundwater chemicals, in Bangladesh. Fasting blood glucose, gender, body mass index, sociodemographic variables, and diabetes medication use were measured among adult...
Gespeichert in:
Veröffentlicht in: | Environmental research 2019-05, Vol.172, p.249-257 |
---|---|
Hauptverfasser: | , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 257 |
---|---|
container_issue | |
container_start_page | 249 |
container_title | Environmental research |
container_volume | 172 |
creator | Ourshalimian, Shadassa Naser, Abu Mohd Rahman, Mahbubur Doza, Solaiman Stowell, Jennifer Narayan, K.M. Venkat Shamsudduha, Mohammad Gribble, Matthew O. |
description | The goal of this study was to evaluate the association between groundwater arsenic and fasting blood glucose in the context of other groundwater chemicals, in Bangladesh.
Fasting blood glucose, gender, body mass index, sociodemographic variables, and diabetes medication use were measured among adults ≥ 35 years of age (n = 6587) participating in the Bangladesh Demographic and Health Survey (BDHS) 2011. Groundwater chemicals in 3534 well water samples were measured in the British Geological Survey (BGS) and Department of Public Health Engineering (DPHE) 1998–99 survey. We assigned the nearest BGS-DPHE well's chemical exposure to each BDHS participant. We used survey-estimation linear regression methods to model natural log-transformed fasting blood glucose, among those using groundwater as their primary drinking-water source, as a function of groundwater arsenic. We considered possible interactions between categorical arsenic exposure and each of 14 other groundwater chemicals dichotomized at their medians. The chemicals considered as possible effect modifiers included: aluminum, barium, calcium, iron, potassium, lithium, magnesium, manganese, sodium, phosphorous, silicon, sulfate, strontium, and zinc.
Compared to persons exposed to groundwater arsenic ≤ 10 μg/L, the adjusted geometric mean ratio (GMR) of fasting blood glucose was 1.01 (95% confidence interval: 0.98, 1.04) for individuals exposed to groundwater arsenic concentrations > 10 μg/L and ≤ 50 μg/L, and was 1.01 (0.97, 1.03) for those with > 50 μg/L arsenic. There were no Bonferroni-significant interactions with other chemicals, after accounting for the large number of chemicals tested as modifiers.
In our analysis of groundwater chemistry data from 1998/99 and fasting blood glucose outcomes measured in nearby populations approximately a decade later, there was no overall association of fasting blood glucose with nearby historical groundwater arsenic. This null association was not significantly modified by the historical levels of other groundwater chemicals. These null results are inconclusive regarding shorter-term potential toxicity of arsenic for glucose regulation, if there are differences between the historical concentrations measured in nearby groundwater and the actual drinking water chemical exposures in the population during the etiologically relevant period for more acute phenotypes like fasting blood glucose. Drinking water supply-relevant, longitudinal exposure assessment with less mea |
doi_str_mv | 10.1016/j.envres.2018.12.049 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6744838</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0013935118306832</els_id><sourcerecordid>2187534581</sourcerecordid><originalsourceid>FETCH-LOGICAL-c496t-4f9a3e0958bfef419320d5768dbaab16e7fd7bfd293f33a93e2157f662fe0f883</originalsourceid><addsrcrecordid>eNqNkUtv1DAUhS0EokPhHyDkJZsEP_JwWCCVCtpKlbqBteXY1zMeMnaxnYH59zidUsoGsbKOfO6xz_0Qek1JTQnt3m1r8PsIqWaEipqymjTDE7SiZOgqMrT8KVoRQnk18JaeoBcpbYukLSfP0QknggrGmxU6nMUE3mmsvMFWpez8Go9TCAavp1mHBNh5nDeAdfAZfmYcLA5FR2yi898W-w-Vi9Qb2DmtpvQeK6xjSKlKoLMLXk045dkclqSPyq8nZSBtXqJntrjh1f15ir5-_vTl_LK6vrm4Oj-7rnQzdLlq7KA4lEJitGAbOnBGTNt3woxKjbSD3pp-tIYN3HKuBg6Mtr3tOmaBWCH4KfpwzL2dxx0YDT5HNcnb6HYqHmRQTv59491GrsNedn3TCL4EvL0PiOH7DCnLnUsapkl5CHOSjDEiOkHpf1ip6FvetIIWa3O03q0qgn34ESVyASy38ghYLoAlZbIALmNvHrd5GPpN9E9dKDvdO4gyaQdeg3Gx4JAmuH-_8Av01LwX</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2187534581</pqid></control><display><type>article</type><title>Arsenic and fasting blood glucose in the context of other drinking water chemicals: a cross-sectional study in Bangladesh</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Ourshalimian, Shadassa ; Naser, Abu Mohd ; Rahman, Mahbubur ; Doza, Solaiman ; Stowell, Jennifer ; Narayan, K.M. Venkat ; Shamsudduha, Mohammad ; Gribble, Matthew O.</creator><creatorcontrib>Ourshalimian, Shadassa ; Naser, Abu Mohd ; Rahman, Mahbubur ; Doza, Solaiman ; Stowell, Jennifer ; Narayan, K.M. Venkat ; Shamsudduha, Mohammad ; Gribble, Matthew O.</creatorcontrib><description>The goal of this study was to evaluate the association between groundwater arsenic and fasting blood glucose in the context of other groundwater chemicals, in Bangladesh.
Fasting blood glucose, gender, body mass index, sociodemographic variables, and diabetes medication use were measured among adults ≥ 35 years of age (n = 6587) participating in the Bangladesh Demographic and Health Survey (BDHS) 2011. Groundwater chemicals in 3534 well water samples were measured in the British Geological Survey (BGS) and Department of Public Health Engineering (DPHE) 1998–99 survey. We assigned the nearest BGS-DPHE well's chemical exposure to each BDHS participant. We used survey-estimation linear regression methods to model natural log-transformed fasting blood glucose, among those using groundwater as their primary drinking-water source, as a function of groundwater arsenic. We considered possible interactions between categorical arsenic exposure and each of 14 other groundwater chemicals dichotomized at their medians. The chemicals considered as possible effect modifiers included: aluminum, barium, calcium, iron, potassium, lithium, magnesium, manganese, sodium, phosphorous, silicon, sulfate, strontium, and zinc.
Compared to persons exposed to groundwater arsenic ≤ 10 μg/L, the adjusted geometric mean ratio (GMR) of fasting blood glucose was 1.01 (95% confidence interval: 0.98, 1.04) for individuals exposed to groundwater arsenic concentrations > 10 μg/L and ≤ 50 μg/L, and was 1.01 (0.97, 1.03) for those with > 50 μg/L arsenic. There were no Bonferroni-significant interactions with other chemicals, after accounting for the large number of chemicals tested as modifiers.
In our analysis of groundwater chemistry data from 1998/99 and fasting blood glucose outcomes measured in nearby populations approximately a decade later, there was no overall association of fasting blood glucose with nearby historical groundwater arsenic. This null association was not significantly modified by the historical levels of other groundwater chemicals. These null results are inconclusive regarding shorter-term potential toxicity of arsenic for glucose regulation, if there are differences between the historical concentrations measured in nearby groundwater and the actual drinking water chemical exposures in the population during the etiologically relevant period for more acute phenotypes like fasting blood glucose. Drinking water supply-relevant, longitudinal exposure assessment with less measurement error is needed to more precisely evaluate the joint impacts of drinking water chemicals and establish if there is a sensitive time window for glycemic outcomes.
•We did not detect an overall association between arsenic and fasting glucose.•Null association had no Bonferroni-significant interaction with other chemicals.•Conclusions about toxicological interactions are limited by measurement error.</description><identifier>ISSN: 0013-9351</identifier><identifier>EISSN: 1096-0953</identifier><identifier>DOI: 10.1016/j.envres.2018.12.049</identifier><identifier>PMID: 30818234</identifier><language>eng</language><publisher>Netherlands: Elsevier Inc</publisher><subject>Adult ; adults ; aluminum ; arsenic ; Arsenic - analysis ; Arsenic - blood ; Bangladesh ; barium ; blood glucose ; Blood Glucose - analysis ; body mass index ; calcium ; confidence interval ; Cross-Sectional Studies ; Cumulative risk assessment ; Diabetes ; drinking water ; Drinking Water - chemistry ; drug therapy ; Environmental Monitoring ; Epidemiology ; Exposome ; exposure assessment ; Exposure mixtures ; Fasting ; gender ; geometry ; glucose ; groundwater ; Groundwater - chemistry ; Humans ; hydrochemistry ; iron ; lithium ; magnesium ; manganese ; Medical geology ; people ; phenotype ; phosphorus ; potassium ; public health engineering ; regression analysis ; silicon ; sodium ; strontium ; sulfates ; toxicity ; Water Pollutants, Chemical - analysis ; Water Pollutants, Chemical - blood ; Water Supply - standards</subject><ispartof>Environmental research, 2019-05, Vol.172, p.249-257</ispartof><rights>2018 Elsevier Inc.</rights><rights>Copyright © 2018 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c496t-4f9a3e0958bfef419320d5768dbaab16e7fd7bfd293f33a93e2157f662fe0f883</citedby><cites>FETCH-LOGICAL-c496t-4f9a3e0958bfef419320d5768dbaab16e7fd7bfd293f33a93e2157f662fe0f883</cites><orcidid>0000-0002-1614-2981 ; 0000-0002-9708-7223</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0013935118306832$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30818234$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ourshalimian, Shadassa</creatorcontrib><creatorcontrib>Naser, Abu Mohd</creatorcontrib><creatorcontrib>Rahman, Mahbubur</creatorcontrib><creatorcontrib>Doza, Solaiman</creatorcontrib><creatorcontrib>Stowell, Jennifer</creatorcontrib><creatorcontrib>Narayan, K.M. Venkat</creatorcontrib><creatorcontrib>Shamsudduha, Mohammad</creatorcontrib><creatorcontrib>Gribble, Matthew O.</creatorcontrib><title>Arsenic and fasting blood glucose in the context of other drinking water chemicals: a cross-sectional study in Bangladesh</title><title>Environmental research</title><addtitle>Environ Res</addtitle><description>The goal of this study was to evaluate the association between groundwater arsenic and fasting blood glucose in the context of other groundwater chemicals, in Bangladesh.
Fasting blood glucose, gender, body mass index, sociodemographic variables, and diabetes medication use were measured among adults ≥ 35 years of age (n = 6587) participating in the Bangladesh Demographic and Health Survey (BDHS) 2011. Groundwater chemicals in 3534 well water samples were measured in the British Geological Survey (BGS) and Department of Public Health Engineering (DPHE) 1998–99 survey. We assigned the nearest BGS-DPHE well's chemical exposure to each BDHS participant. We used survey-estimation linear regression methods to model natural log-transformed fasting blood glucose, among those using groundwater as their primary drinking-water source, as a function of groundwater arsenic. We considered possible interactions between categorical arsenic exposure and each of 14 other groundwater chemicals dichotomized at their medians. The chemicals considered as possible effect modifiers included: aluminum, barium, calcium, iron, potassium, lithium, magnesium, manganese, sodium, phosphorous, silicon, sulfate, strontium, and zinc.
Compared to persons exposed to groundwater arsenic ≤ 10 μg/L, the adjusted geometric mean ratio (GMR) of fasting blood glucose was 1.01 (95% confidence interval: 0.98, 1.04) for individuals exposed to groundwater arsenic concentrations > 10 μg/L and ≤ 50 μg/L, and was 1.01 (0.97, 1.03) for those with > 50 μg/L arsenic. There were no Bonferroni-significant interactions with other chemicals, after accounting for the large number of chemicals tested as modifiers.
In our analysis of groundwater chemistry data from 1998/99 and fasting blood glucose outcomes measured in nearby populations approximately a decade later, there was no overall association of fasting blood glucose with nearby historical groundwater arsenic. This null association was not significantly modified by the historical levels of other groundwater chemicals. These null results are inconclusive regarding shorter-term potential toxicity of arsenic for glucose regulation, if there are differences between the historical concentrations measured in nearby groundwater and the actual drinking water chemical exposures in the population during the etiologically relevant period for more acute phenotypes like fasting blood glucose. Drinking water supply-relevant, longitudinal exposure assessment with less measurement error is needed to more precisely evaluate the joint impacts of drinking water chemicals and establish if there is a sensitive time window for glycemic outcomes.
•We did not detect an overall association between arsenic and fasting glucose.•Null association had no Bonferroni-significant interaction with other chemicals.•Conclusions about toxicological interactions are limited by measurement error.</description><subject>Adult</subject><subject>adults</subject><subject>aluminum</subject><subject>arsenic</subject><subject>Arsenic - analysis</subject><subject>Arsenic - blood</subject><subject>Bangladesh</subject><subject>barium</subject><subject>blood glucose</subject><subject>Blood Glucose - analysis</subject><subject>body mass index</subject><subject>calcium</subject><subject>confidence interval</subject><subject>Cross-Sectional Studies</subject><subject>Cumulative risk assessment</subject><subject>Diabetes</subject><subject>drinking water</subject><subject>Drinking Water - chemistry</subject><subject>drug therapy</subject><subject>Environmental Monitoring</subject><subject>Epidemiology</subject><subject>Exposome</subject><subject>exposure assessment</subject><subject>Exposure mixtures</subject><subject>Fasting</subject><subject>gender</subject><subject>geometry</subject><subject>glucose</subject><subject>groundwater</subject><subject>Groundwater - chemistry</subject><subject>Humans</subject><subject>hydrochemistry</subject><subject>iron</subject><subject>lithium</subject><subject>magnesium</subject><subject>manganese</subject><subject>Medical geology</subject><subject>people</subject><subject>phenotype</subject><subject>phosphorus</subject><subject>potassium</subject><subject>public health engineering</subject><subject>regression analysis</subject><subject>silicon</subject><subject>sodium</subject><subject>strontium</subject><subject>sulfates</subject><subject>toxicity</subject><subject>Water Pollutants, Chemical - analysis</subject><subject>Water Pollutants, Chemical - blood</subject><subject>Water Supply - standards</subject><issn>0013-9351</issn><issn>1096-0953</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkUtv1DAUhS0EokPhHyDkJZsEP_JwWCCVCtpKlbqBteXY1zMeMnaxnYH59zidUsoGsbKOfO6xz_0Qek1JTQnt3m1r8PsIqWaEipqymjTDE7SiZOgqMrT8KVoRQnk18JaeoBcpbYukLSfP0QknggrGmxU6nMUE3mmsvMFWpez8Go9TCAavp1mHBNh5nDeAdfAZfmYcLA5FR2yi898W-w-Vi9Qb2DmtpvQeK6xjSKlKoLMLXk045dkclqSPyq8nZSBtXqJntrjh1f15ir5-_vTl_LK6vrm4Oj-7rnQzdLlq7KA4lEJitGAbOnBGTNt3woxKjbSD3pp-tIYN3HKuBg6Mtr3tOmaBWCH4KfpwzL2dxx0YDT5HNcnb6HYqHmRQTv59491GrsNedn3TCL4EvL0PiOH7DCnLnUsapkl5CHOSjDEiOkHpf1ip6FvetIIWa3O03q0qgn34ESVyASy38ghYLoAlZbIALmNvHrd5GPpN9E9dKDvdO4gyaQdeg3Gx4JAmuH-_8Av01LwX</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Ourshalimian, Shadassa</creator><creator>Naser, Abu Mohd</creator><creator>Rahman, Mahbubur</creator><creator>Doza, Solaiman</creator><creator>Stowell, Jennifer</creator><creator>Narayan, K.M. Venkat</creator><creator>Shamsudduha, Mohammad</creator><creator>Gribble, Matthew O.</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-1614-2981</orcidid><orcidid>https://orcid.org/0000-0002-9708-7223</orcidid></search><sort><creationdate>20190501</creationdate><title>Arsenic and fasting blood glucose in the context of other drinking water chemicals: a cross-sectional study in Bangladesh</title><author>Ourshalimian, Shadassa ; Naser, Abu Mohd ; Rahman, Mahbubur ; Doza, Solaiman ; Stowell, Jennifer ; Narayan, K.M. Venkat ; Shamsudduha, Mohammad ; Gribble, Matthew O.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c496t-4f9a3e0958bfef419320d5768dbaab16e7fd7bfd293f33a93e2157f662fe0f883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>adults</topic><topic>aluminum</topic><topic>arsenic</topic><topic>Arsenic - analysis</topic><topic>Arsenic - blood</topic><topic>Bangladesh</topic><topic>barium</topic><topic>blood glucose</topic><topic>Blood Glucose - analysis</topic><topic>body mass index</topic><topic>calcium</topic><topic>confidence interval</topic><topic>Cross-Sectional Studies</topic><topic>Cumulative risk assessment</topic><topic>Diabetes</topic><topic>drinking water</topic><topic>Drinking Water - chemistry</topic><topic>drug therapy</topic><topic>Environmental Monitoring</topic><topic>Epidemiology</topic><topic>Exposome</topic><topic>exposure assessment</topic><topic>Exposure mixtures</topic><topic>Fasting</topic><topic>gender</topic><topic>geometry</topic><topic>glucose</topic><topic>groundwater</topic><topic>Groundwater - chemistry</topic><topic>Humans</topic><topic>hydrochemistry</topic><topic>iron</topic><topic>lithium</topic><topic>magnesium</topic><topic>manganese</topic><topic>Medical geology</topic><topic>people</topic><topic>phenotype</topic><topic>phosphorus</topic><topic>potassium</topic><topic>public health engineering</topic><topic>regression analysis</topic><topic>silicon</topic><topic>sodium</topic><topic>strontium</topic><topic>sulfates</topic><topic>toxicity</topic><topic>Water Pollutants, Chemical - analysis</topic><topic>Water Pollutants, Chemical - blood</topic><topic>Water Supply - standards</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ourshalimian, Shadassa</creatorcontrib><creatorcontrib>Naser, Abu Mohd</creatorcontrib><creatorcontrib>Rahman, Mahbubur</creatorcontrib><creatorcontrib>Doza, Solaiman</creatorcontrib><creatorcontrib>Stowell, Jennifer</creatorcontrib><creatorcontrib>Narayan, K.M. Venkat</creatorcontrib><creatorcontrib>Shamsudduha, Mohammad</creatorcontrib><creatorcontrib>Gribble, Matthew O.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Environmental research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ourshalimian, Shadassa</au><au>Naser, Abu Mohd</au><au>Rahman, Mahbubur</au><au>Doza, Solaiman</au><au>Stowell, Jennifer</au><au>Narayan, K.M. Venkat</au><au>Shamsudduha, Mohammad</au><au>Gribble, Matthew O.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Arsenic and fasting blood glucose in the context of other drinking water chemicals: a cross-sectional study in Bangladesh</atitle><jtitle>Environmental research</jtitle><addtitle>Environ Res</addtitle><date>2019-05-01</date><risdate>2019</risdate><volume>172</volume><spage>249</spage><epage>257</epage><pages>249-257</pages><issn>0013-9351</issn><eissn>1096-0953</eissn><abstract>The goal of this study was to evaluate the association between groundwater arsenic and fasting blood glucose in the context of other groundwater chemicals, in Bangladesh.
Fasting blood glucose, gender, body mass index, sociodemographic variables, and diabetes medication use were measured among adults ≥ 35 years of age (n = 6587) participating in the Bangladesh Demographic and Health Survey (BDHS) 2011. Groundwater chemicals in 3534 well water samples were measured in the British Geological Survey (BGS) and Department of Public Health Engineering (DPHE) 1998–99 survey. We assigned the nearest BGS-DPHE well's chemical exposure to each BDHS participant. We used survey-estimation linear regression methods to model natural log-transformed fasting blood glucose, among those using groundwater as their primary drinking-water source, as a function of groundwater arsenic. We considered possible interactions between categorical arsenic exposure and each of 14 other groundwater chemicals dichotomized at their medians. The chemicals considered as possible effect modifiers included: aluminum, barium, calcium, iron, potassium, lithium, magnesium, manganese, sodium, phosphorous, silicon, sulfate, strontium, and zinc.
Compared to persons exposed to groundwater arsenic ≤ 10 μg/L, the adjusted geometric mean ratio (GMR) of fasting blood glucose was 1.01 (95% confidence interval: 0.98, 1.04) for individuals exposed to groundwater arsenic concentrations > 10 μg/L and ≤ 50 μg/L, and was 1.01 (0.97, 1.03) for those with > 50 μg/L arsenic. There were no Bonferroni-significant interactions with other chemicals, after accounting for the large number of chemicals tested as modifiers.
In our analysis of groundwater chemistry data from 1998/99 and fasting blood glucose outcomes measured in nearby populations approximately a decade later, there was no overall association of fasting blood glucose with nearby historical groundwater arsenic. This null association was not significantly modified by the historical levels of other groundwater chemicals. These null results are inconclusive regarding shorter-term potential toxicity of arsenic for glucose regulation, if there are differences between the historical concentrations measured in nearby groundwater and the actual drinking water chemical exposures in the population during the etiologically relevant period for more acute phenotypes like fasting blood glucose. Drinking water supply-relevant, longitudinal exposure assessment with less measurement error is needed to more precisely evaluate the joint impacts of drinking water chemicals and establish if there is a sensitive time window for glycemic outcomes.
•We did not detect an overall association between arsenic and fasting glucose.•Null association had no Bonferroni-significant interaction with other chemicals.•Conclusions about toxicological interactions are limited by measurement error.</abstract><cop>Netherlands</cop><pub>Elsevier Inc</pub><pmid>30818234</pmid><doi>10.1016/j.envres.2018.12.049</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-1614-2981</orcidid><orcidid>https://orcid.org/0000-0002-9708-7223</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0013-9351 |
ispartof | Environmental research, 2019-05, Vol.172, p.249-257 |
issn | 0013-9351 1096-0953 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6744838 |
source | MEDLINE; Elsevier ScienceDirect Journals |
subjects | Adult adults aluminum arsenic Arsenic - analysis Arsenic - blood Bangladesh barium blood glucose Blood Glucose - analysis body mass index calcium confidence interval Cross-Sectional Studies Cumulative risk assessment Diabetes drinking water Drinking Water - chemistry drug therapy Environmental Monitoring Epidemiology Exposome exposure assessment Exposure mixtures Fasting gender geometry glucose groundwater Groundwater - chemistry Humans hydrochemistry iron lithium magnesium manganese Medical geology people phenotype phosphorus potassium public health engineering regression analysis silicon sodium strontium sulfates toxicity Water Pollutants, Chemical - analysis Water Pollutants, Chemical - blood Water Supply - standards |
title | Arsenic and fasting blood glucose in the context of other drinking water chemicals: a cross-sectional study in Bangladesh |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T18%3A01%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Arsenic%20and%20fasting%20blood%20glucose%20in%20the%20context%20of%20other%20drinking%20water%20chemicals:%20a%20cross-sectional%20study%20in%20Bangladesh&rft.jtitle=Environmental%20research&rft.au=Ourshalimian,%20Shadassa&rft.date=2019-05-01&rft.volume=172&rft.spage=249&rft.epage=257&rft.pages=249-257&rft.issn=0013-9351&rft.eissn=1096-0953&rft_id=info:doi/10.1016/j.envres.2018.12.049&rft_dat=%3Cproquest_pubme%3E2187534581%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2187534581&rft_id=info:pmid/30818234&rft_els_id=S0013935118306832&rfr_iscdi=true |