Association of inorganic arsenic exposure with type 2 diabetes mellitus: a meta-analysis
Background The association of long-term effects of inorganic arsenic (iAs) exposure with type 2 diabetes mellitus (T2DM) risk remains controversial. Methods A literature search was performed in PubMed, China National Knowledge Infrastructure and Web of Knowledge for relevant available articles publi...
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Veröffentlicht in: | Journal of epidemiology and community health (1979) 2014-02, Vol.68 (2), p.176-184 |
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description | Background The association of long-term effects of inorganic arsenic (iAs) exposure with type 2 diabetes mellitus (T2DM) risk remains controversial. Methods A literature search was performed in PubMed, China National Knowledge Infrastructure and Web of Knowledge for relevant available articles published in English or Chinese from 1 January 1990 to 5 June 2013. Case-control, cohort or cross-sectional studies evaluating iAs and T2DM were included. The DerSimonian and Laird random effect model was adopted as the pooling method. Dose-response relationship was assessed by restricted cubic spline model and multivariate random-effect meta-regression. Results Of the 569 articles identified through searching databases, 17 published articles with 2 243 745 participants for iAs in drinking water and 21 083 participants for total arsenic (tAs) in urine were included for this meta-analysis. The pooled relative risk with 95% CI of T2DM for the highest versus lowest category of iAs exposure level in drinking water was 1.75 (1.20 to 2.54). After removing three studies that had a strong effect on heterogeneity, the pooled relative risk was 1.23 (1.12 to 1.36). Dose–response analysis suggested T2DM risk increased by 13% (1.13 (1.00 to 1.27)) for every 100 µg/L increment of iAs in drinking water. Significant association of T2DM risk with tAs in urine was also found 1.28 (1.14 to 1.44). Conclusions This meta-analysis indicates that long-term iAs exposure might be positively associated with T2DM risk. |
doi_str_mv | 10.1136/jech-2013-203114 |
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fullrecord | <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_1551642777</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>43281708</jstor_id><sourcerecordid>43281708</sourcerecordid><originalsourceid>FETCH-LOGICAL-b448t-6baeddba1f2159984c422fbee584872a7f78ba492779038ae29cc341f86fef533</originalsourceid><addsrcrecordid>eNqFkM1r3DAQxUVpaDZp7720CEqgUNzqyyu5txD6EQjkkkJuZqyVGhnb2mpk2v3vK-NtCr30ohmY33szeoS85Ow953L7oXf2oRKMy_JIztUTsuFKs0poaZ6SDeNKVozV96fkDLFnpdWieUZOheJSMq025P4SMdoAOcSJRk_DFNN3mIKlkNAt1f3aR5yToz9DfqD5sHdU0F2AzmWHdHTDEPKMHymUPkMFEwwHDPicnHgY0L041nPy7fOnu6uv1c3tl-ury5uqU8rkatuB2-064F7wummMskoI3zlXG2W0AO216UA1QuuGSQNONNZKxb3ZeudrKc_J29V3n-KP2WFux4C2XAWTizO2vK75VhW5Luibf9A-zqncW6hiL0xZ3RSKrZRNETE53-5TGCEdWs7aJfV2Sb1dUm_X1Ivk9dF47ka3exT8ibkAF0cA0MLgE0w24F_OMN1wsXzm1cr1mGN6nCspDNfMlPm7dd6N_f_P-g09ZqEt</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1779284229</pqid></control><display><type>article</type><title>Association of inorganic arsenic exposure with type 2 diabetes mellitus: a meta-analysis</title><source>MEDLINE</source><source>BMJ Journals - NESLi2</source><source>Jstor Complete Legacy</source><creator>Wang, Weijing ; Xie, Zhutian ; Lin, Yan ; Zhang, Dongfeng</creator><creatorcontrib>Wang, Weijing ; Xie, Zhutian ; Lin, Yan ; Zhang, Dongfeng</creatorcontrib><description>Background The association of long-term effects of inorganic arsenic (iAs) exposure with type 2 diabetes mellitus (T2DM) risk remains controversial. Methods A literature search was performed in PubMed, China National Knowledge Infrastructure and Web of Knowledge for relevant available articles published in English or Chinese from 1 January 1990 to 5 June 2013. Case-control, cohort or cross-sectional studies evaluating iAs and T2DM were included. The DerSimonian and Laird random effect model was adopted as the pooling method. Dose-response relationship was assessed by restricted cubic spline model and multivariate random-effect meta-regression. Results Of the 569 articles identified through searching databases, 17 published articles with 2 243 745 participants for iAs in drinking water and 21 083 participants for total arsenic (tAs) in urine were included for this meta-analysis. The pooled relative risk with 95% CI of T2DM for the highest versus lowest category of iAs exposure level in drinking water was 1.75 (1.20 to 2.54). After removing three studies that had a strong effect on heterogeneity, the pooled relative risk was 1.23 (1.12 to 1.36). Dose–response analysis suggested T2DM risk increased by 13% (1.13 (1.00 to 1.27)) for every 100 µg/L increment of iAs in drinking water. Significant association of T2DM risk with tAs in urine was also found 1.28 (1.14 to 1.44). Conclusions This meta-analysis indicates that long-term iAs exposure might be positively associated with T2DM risk.</description><identifier>ISSN: 0143-005X</identifier><identifier>EISSN: 1470-2738</identifier><identifier>DOI: 10.1136/jech-2013-203114</identifier><identifier>PMID: 24133074</identifier><identifier>CODEN: JECHDR</identifier><language>eng</language><publisher>London: BMJ Publishing Group</publisher><subject>Age ; Arsenic ; Arsenic - adverse effects ; Arsenic - analysis ; Arsenic - urine ; Biological and medical sciences ; Body mass index ; Case-Control Studies ; Cohort Studies ; Cross-Sectional Studies ; Dental diagnostics ; Diabetes ; Diabetes Mellitus, Type 2 - chemically induced ; Diabetes Mellitus, Type 2 - epidemiology ; Diabetes. Impaired glucose tolerance ; Dose-Response Relationship, Drug ; Drinking water ; Drinking Water - adverse effects ; Drinking Water - analysis ; Drinking Water - chemistry ; Educational diagnosis ; Endocrine pancreas. Apud cells (diseases) ; Endocrinopathies ; Environmental Exposure ; Etiopathogenesis. Screening. Investigations. Target tissue resistance ; Fasting ; General aspects ; Heterogeneity ; Humans ; Maximum likelihood method ; Medical sciences ; Meta-analysis ; Miscellaneous ; Physicians ; Potable water ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Referents ; Review ; Risk Factors ; Statistics as Topic ; Studies ; Systematic review ; Type 2 diabetes mellitus ; Urine</subject><ispartof>Journal of epidemiology and community health (1979), 2014-02, Vol.68 (2), p.176-184</ispartof><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>2014 BMJ Publishing Group</rights><rights>2015 INIST-CNRS</rights><rights>Copyright: 2014 Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b448t-6baeddba1f2159984c422fbee584872a7f78ba492779038ae29cc341f86fef533</citedby><cites>FETCH-LOGICAL-b448t-6baeddba1f2159984c422fbee584872a7f78ba492779038ae29cc341f86fef533</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://jech.bmj.com/content/68/2/176.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttps://jech.bmj.com/content/68/2/176.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,313,314,777,781,789,800,3183,23552,27903,27905,27906,57998,58231,77349,77380</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28079123$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24133074$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Weijing</creatorcontrib><creatorcontrib>Xie, Zhutian</creatorcontrib><creatorcontrib>Lin, Yan</creatorcontrib><creatorcontrib>Zhang, Dongfeng</creatorcontrib><title>Association of inorganic arsenic exposure with type 2 diabetes mellitus: a meta-analysis</title><title>Journal of epidemiology and community health (1979)</title><addtitle>J Epidemiol Community Health</addtitle><description>Background The association of long-term effects of inorganic arsenic (iAs) exposure with type 2 diabetes mellitus (T2DM) risk remains controversial. Methods A literature search was performed in PubMed, China National Knowledge Infrastructure and Web of Knowledge for relevant available articles published in English or Chinese from 1 January 1990 to 5 June 2013. Case-control, cohort or cross-sectional studies evaluating iAs and T2DM were included. The DerSimonian and Laird random effect model was adopted as the pooling method. Dose-response relationship was assessed by restricted cubic spline model and multivariate random-effect meta-regression. Results Of the 569 articles identified through searching databases, 17 published articles with 2 243 745 participants for iAs in drinking water and 21 083 participants for total arsenic (tAs) in urine were included for this meta-analysis. The pooled relative risk with 95% CI of T2DM for the highest versus lowest category of iAs exposure level in drinking water was 1.75 (1.20 to 2.54). After removing three studies that had a strong effect on heterogeneity, the pooled relative risk was 1.23 (1.12 to 1.36). Dose–response analysis suggested T2DM risk increased by 13% (1.13 (1.00 to 1.27)) for every 100 µg/L increment of iAs in drinking water. Significant association of T2DM risk with tAs in urine was also found 1.28 (1.14 to 1.44). Conclusions This meta-analysis indicates that long-term iAs exposure might be positively associated with T2DM risk.</description><subject>Age</subject><subject>Arsenic</subject><subject>Arsenic - adverse effects</subject><subject>Arsenic - analysis</subject><subject>Arsenic - urine</subject><subject>Biological and medical sciences</subject><subject>Body mass index</subject><subject>Case-Control Studies</subject><subject>Cohort Studies</subject><subject>Cross-Sectional Studies</subject><subject>Dental diagnostics</subject><subject>Diabetes</subject><subject>Diabetes Mellitus, Type 2 - chemically induced</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>Diabetes. Impaired glucose tolerance</subject><subject>Dose-Response Relationship, Drug</subject><subject>Drinking water</subject><subject>Drinking Water - adverse effects</subject><subject>Drinking Water - analysis</subject><subject>Drinking Water - chemistry</subject><subject>Educational diagnosis</subject><subject>Endocrine pancreas. Apud cells (diseases)</subject><subject>Endocrinopathies</subject><subject>Environmental Exposure</subject><subject>Etiopathogenesis. Screening. Investigations. Target tissue resistance</subject><subject>Fasting</subject><subject>General aspects</subject><subject>Heterogeneity</subject><subject>Humans</subject><subject>Maximum likelihood method</subject><subject>Medical sciences</subject><subject>Meta-analysis</subject><subject>Miscellaneous</subject><subject>Physicians</subject><subject>Potable water</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Referents</subject><subject>Review</subject><subject>Risk Factors</subject><subject>Statistics as Topic</subject><subject>Studies</subject><subject>Systematic review</subject><subject>Type 2 diabetes mellitus</subject><subject>Urine</subject><issn>0143-005X</issn><issn>1470-2738</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkM1r3DAQxUVpaDZp7720CEqgUNzqyyu5txD6EQjkkkJuZqyVGhnb2mpk2v3vK-NtCr30ohmY33szeoS85Ow953L7oXf2oRKMy_JIztUTsuFKs0poaZ6SDeNKVozV96fkDLFnpdWieUZOheJSMq025P4SMdoAOcSJRk_DFNN3mIKlkNAt1f3aR5yToz9DfqD5sHdU0F2AzmWHdHTDEPKMHymUPkMFEwwHDPicnHgY0L041nPy7fOnu6uv1c3tl-ury5uqU8rkatuB2-064F7wummMskoI3zlXG2W0AO216UA1QuuGSQNONNZKxb3ZeudrKc_J29V3n-KP2WFux4C2XAWTizO2vK75VhW5Luibf9A-zqncW6hiL0xZ3RSKrZRNETE53-5TGCEdWs7aJfV2Sb1dUm_X1Ivk9dF47ka3exT8ibkAF0cA0MLgE0w24F_OMN1wsXzm1cr1mGN6nCspDNfMlPm7dd6N_f_P-g09ZqEt</recordid><startdate>20140201</startdate><enddate>20140201</enddate><creator>Wang, Weijing</creator><creator>Xie, Zhutian</creator><creator>Lin, Yan</creator><creator>Zhang, Dongfeng</creator><general>BMJ Publishing Group</general><general>BMJ Publishing Group LTD</general><scope>IQODW</scope><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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7U1</scope><scope>7U2</scope><scope>C1K</scope></search><sort><creationdate>20140201</creationdate><title>Association of inorganic arsenic exposure with type 2 diabetes mellitus: a meta-analysis</title><author>Wang, Weijing ; Xie, Zhutian ; Lin, Yan ; Zhang, Dongfeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b448t-6baeddba1f2159984c422fbee584872a7f78ba492779038ae29cc341f86fef533</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Age</topic><topic>Arsenic</topic><topic>Arsenic - adverse effects</topic><topic>Arsenic - analysis</topic><topic>Arsenic - urine</topic><topic>Biological and medical sciences</topic><topic>Body mass index</topic><topic>Case-Control Studies</topic><topic>Cohort Studies</topic><topic>Cross-Sectional Studies</topic><topic>Dental diagnostics</topic><topic>Diabetes</topic><topic>Diabetes Mellitus, Type 2 - chemically induced</topic><topic>Diabetes Mellitus, Type 2 - epidemiology</topic><topic>Diabetes. Impaired glucose tolerance</topic><topic>Dose-Response Relationship, Drug</topic><topic>Drinking water</topic><topic>Drinking Water - adverse effects</topic><topic>Drinking Water - analysis</topic><topic>Drinking Water - chemistry</topic><topic>Educational diagnosis</topic><topic>Endocrine pancreas. Apud cells (diseases)</topic><topic>Endocrinopathies</topic><topic>Environmental Exposure</topic><topic>Etiopathogenesis. Screening. Investigations. Target tissue resistance</topic><topic>Fasting</topic><topic>General aspects</topic><topic>Heterogeneity</topic><topic>Humans</topic><topic>Maximum likelihood method</topic><topic>Medical sciences</topic><topic>Meta-analysis</topic><topic>Miscellaneous</topic><topic>Physicians</topic><topic>Potable water</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Referents</topic><topic>Review</topic><topic>Risk Factors</topic><topic>Statistics as Topic</topic><topic>Studies</topic><topic>Systematic review</topic><topic>Type 2 diabetes mellitus</topic><topic>Urine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Weijing</creatorcontrib><creatorcontrib>Xie, Zhutian</creatorcontrib><creatorcontrib>Lin, Yan</creatorcontrib><creatorcontrib>Zhang, Dongfeng</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Journal of epidemiology and community health (1979)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Weijing</au><au>Xie, Zhutian</au><au>Lin, Yan</au><au>Zhang, Dongfeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of inorganic arsenic exposure with type 2 diabetes mellitus: a meta-analysis</atitle><jtitle>Journal of epidemiology and community health (1979)</jtitle><addtitle>J Epidemiol Community Health</addtitle><date>2014-02-01</date><risdate>2014</risdate><volume>68</volume><issue>2</issue><spage>176</spage><epage>184</epage><pages>176-184</pages><issn>0143-005X</issn><eissn>1470-2738</eissn><coden>JECHDR</coden><abstract>Background The association of long-term effects of inorganic arsenic (iAs) exposure with type 2 diabetes mellitus (T2DM) risk remains controversial. Methods A literature search was performed in PubMed, China National Knowledge Infrastructure and Web of Knowledge for relevant available articles published in English or Chinese from 1 January 1990 to 5 June 2013. Case-control, cohort or cross-sectional studies evaluating iAs and T2DM were included. The DerSimonian and Laird random effect model was adopted as the pooling method. Dose-response relationship was assessed by restricted cubic spline model and multivariate random-effect meta-regression. Results Of the 569 articles identified through searching databases, 17 published articles with 2 243 745 participants for iAs in drinking water and 21 083 participants for total arsenic (tAs) in urine were included for this meta-analysis. The pooled relative risk with 95% CI of T2DM for the highest versus lowest category of iAs exposure level in drinking water was 1.75 (1.20 to 2.54). After removing three studies that had a strong effect on heterogeneity, the pooled relative risk was 1.23 (1.12 to 1.36). Dose–response analysis suggested T2DM risk increased by 13% (1.13 (1.00 to 1.27)) for every 100 µg/L increment of iAs in drinking water. Significant association of T2DM risk with tAs in urine was also found 1.28 (1.14 to 1.44). Conclusions This meta-analysis indicates that long-term iAs exposure might be positively associated with T2DM risk.</abstract><cop>London</cop><pub>BMJ Publishing Group</pub><pmid>24133074</pmid><doi>10.1136/jech-2013-203114</doi><tpages>9</tpages></addata></record> |
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subjects | Age Arsenic Arsenic - adverse effects Arsenic - analysis Arsenic - urine Biological and medical sciences Body mass index Case-Control Studies Cohort Studies Cross-Sectional Studies Dental diagnostics Diabetes Diabetes Mellitus, Type 2 - chemically induced Diabetes Mellitus, Type 2 - epidemiology Diabetes. Impaired glucose tolerance Dose-Response Relationship, Drug Drinking water Drinking Water - adverse effects Drinking Water - analysis Drinking Water - chemistry Educational diagnosis Endocrine pancreas. Apud cells (diseases) Endocrinopathies Environmental Exposure Etiopathogenesis. Screening. Investigations. Target tissue resistance Fasting General aspects Heterogeneity Humans Maximum likelihood method Medical sciences Meta-analysis Miscellaneous Physicians Potable water Public health. Hygiene Public health. Hygiene-occupational medicine Referents Review Risk Factors Statistics as Topic Studies Systematic review Type 2 diabetes mellitus Urine |
title | Association of inorganic arsenic exposure with type 2 diabetes mellitus: a meta-analysis |
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