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Birth weight, family history of diabetes and diabetes onset in schizophrenia
IntroductionThe prevalence of diabetes in schizophrenia is twice that in the general population, but there are few reliable predictors of which individuals will develop glucose dysregulation.ObjectiveTo test if abnormal birth weight (either too low or too high) and parental diabetes, both variables...
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Published in: | BMJ open diabetes research & care 2020-01, Vol.8 (1), p.e001036 |
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description | IntroductionThe prevalence of diabetes in schizophrenia is twice that in the general population, but there are few reliable predictors of which individuals will develop glucose dysregulation.ObjectiveTo test if abnormal birth weight (either too low or too high) and parental diabetes, both variables that can be ascertained in the clinic, can predict diabetes onset in patients with schizophrenia.Research design and methodsElectronic records of a cohort of 190 clozapine-treated patients (37% treated for more than 20 years) and Cox regression survival analysis (with any type of glucose dysregulation as the event) to account for differences in length of treatment before the event and age at clozapine treatment initiation.ResultsAge at clozapine initiation (Exp(B)=1.098; p |
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Among individuals with 10 years of follow-up, 80% of those with both abnormal birth weight and a family history of diabetes developed diabetes compared with 56% with only abnormal birth weight, 40% with only a family history of diabetes and 20% in those with neither.ConclusionsSince 48% of cases had at least one risk factor and 6% had both risk factors, there is a substantial proportion of patients for whom preventive strategies could be implemented.</description><identifier>ISSN: 2052-4897</identifier><identifier>EISSN: 2052-4897</identifier><identifier>DOI: 10.1136/bmjdrc-2019-001036</identifier><identifier>PMID: 32049635</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject>Age ; Antipsychotic Agents - adverse effects ; Birth Weight ; Body Mass Index ; Cardiovascular and Metabolic Risk ; Clinical medicine ; Diabetes ; Diabetes Mellitus - drug therapy ; Diabetes Mellitus - epidemiology ; Diabetes Mellitus - genetics ; Humans ; Hypotheses ; Metabolism ; Patients ; Population ; Primary care ; Psychotropic drugs ; Schizophrenia ; Schizophrenia - drug therapy ; Schizophrenia - epidemiology ; Schizophrenia - genetics ; Survival analysis ; Variables</subject><ispartof>BMJ open diabetes research & care, 2020-01, Vol.8 (1), p.e001036</ispartof><rights>Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.</rights><rights>2020 Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b534t-a072ea10ec5ccb5443e94464ec31c335780e4c99729e2927729b9a7125f2e36d3</citedby><cites>FETCH-LOGICAL-b534t-a072ea10ec5ccb5443e94464ec31c335780e4c99729e2927729b9a7125f2e36d3</cites><orcidid>0000-0003-4128-8955</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2348269173/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2348269173?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27549,27550,27924,27925,37012,37013,44590,53791,53793,75126,77601,77632</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32049635$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fernandez-Egea, Emilio</creatorcontrib><creatorcontrib>Walker, Ryan</creatorcontrib><creatorcontrib>Ziauddeen, Hisham</creatorcontrib><creatorcontrib>Cardinal, Rudolf N</creatorcontrib><creatorcontrib>Bullmore, Edward T</creatorcontrib><title>Birth weight, family history of diabetes and diabetes onset in schizophrenia</title><title>BMJ open diabetes research & care</title><addtitle>BMJ Open Diabetes Res Care</addtitle><description>IntroductionThe prevalence of diabetes in schizophrenia is twice that in the general population, but there are few reliable predictors of which individuals will develop glucose dysregulation.ObjectiveTo test if abnormal birth weight (either too low or too high) and parental diabetes, both variables that can be ascertained in the clinic, can predict diabetes onset in patients with schizophrenia.Research design and methodsElectronic records of a cohort of 190 clozapine-treated patients (37% treated for more than 20 years) and Cox regression survival analysis (with any type of glucose dysregulation as the event) to account for differences in length of treatment before the event and age at clozapine treatment initiation.ResultsAge at clozapine initiation (Exp(B)=1.098; p<0.001), family history of diabetes (Exp(B)=2.299; p=0.049) and birth weight2 (Exp(B)=0.999; p=0.013) were significant predictors of glucose dysregulation onset, while gender was not (Exp(B)=0.1.350; p=0.517). Among individuals with 10 years of follow-up, 80% of those with both abnormal birth weight and a family history of diabetes developed diabetes compared with 56% with only abnormal birth weight, 40% with only a family history of diabetes and 20% in those with neither.ConclusionsSince 48% of cases had at least one risk factor and 6% had both risk factors, there is a substantial proportion of patients for whom preventive strategies could be implemented.</description><subject>Age</subject><subject>Antipsychotic Agents - adverse effects</subject><subject>Birth Weight</subject><subject>Body Mass Index</subject><subject>Cardiovascular and Metabolic Risk</subject><subject>Clinical medicine</subject><subject>Diabetes</subject><subject>Diabetes Mellitus - drug therapy</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Diabetes Mellitus - genetics</subject><subject>Humans</subject><subject>Hypotheses</subject><subject>Metabolism</subject><subject>Patients</subject><subject>Population</subject><subject>Primary care</subject><subject>Psychotropic drugs</subject><subject>Schizophrenia</subject><subject>Schizophrenia - drug therapy</subject><subject>Schizophrenia - epidemiology</subject><subject>Schizophrenia - genetics</subject><subject>Survival analysis</subject><subject>Variables</subject><issn>2052-4897</issn><issn>2052-4897</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkUtv1DAURi0EolXpH2CBIrFhQcDvxwYJKloqjcQG1pbj3Ew8SuLB9oCGX49LSmlZsfLr3GNffwg9J_gNIUy-7eZdn3xLMTEtxgQz-QidUixoy7VRj-_NT9B5zjtcISYJ0-IpOmEUcyOZOEWbDyGVsfkBYTuW183g5jAdmzHkEtOxiUPTB9dBgdy4pf-7iEuG0oSlyX4MP-N-TLAE9ww9GdyU4fx2PENfLz9-ufjUbj5fXV-837SdYLy0DisKjmDwwvtOcM7AcC45eEY8Y0JpDNwbo6gBaqiqY2ecIlQMFJjs2Rm6Xr19dDu7T2F26WijC_b3Rkxb61IJfgLLjamNSqGgXmCUdpJIzTX0HTNAqK-ud6trf-hm6D0sJbnpgfThyRJGu43frcLMSKyr4NWtIMVvB8jFziF7mCa3QDxkS5ngimONaUVf_oPu4iEt9asqxTWVhihWKbpSPsWcEwx3jyHY3mRv1-ztTfZ2zb4Wvbjfxl3Jn6Qr0K5ALf4f4S9xT7fR</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Fernandez-Egea, Emilio</creator><creator>Walker, Ryan</creator><creator>Ziauddeen, Hisham</creator><creator>Cardinal, Rudolf N</creator><creator>Bullmore, Edward T</creator><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</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>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-4128-8955</orcidid></search><sort><creationdate>20200101</creationdate><title>Birth weight, family history of diabetes and diabetes onset in schizophrenia</title><author>Fernandez-Egea, Emilio ; Walker, Ryan ; Ziauddeen, Hisham ; Cardinal, Rudolf N ; Bullmore, Edward T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b534t-a072ea10ec5ccb5443e94464ec31c335780e4c99729e2927729b9a7125f2e36d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age</topic><topic>Antipsychotic Agents - adverse effects</topic><topic>Birth Weight</topic><topic>Body Mass Index</topic><topic>Cardiovascular and Metabolic Risk</topic><topic>Clinical medicine</topic><topic>Diabetes</topic><topic>Diabetes Mellitus - drug therapy</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Diabetes Mellitus - genetics</topic><topic>Humans</topic><topic>Hypotheses</topic><topic>Metabolism</topic><topic>Patients</topic><topic>Population</topic><topic>Primary care</topic><topic>Psychotropic drugs</topic><topic>Schizophrenia</topic><topic>Schizophrenia - drug therapy</topic><topic>Schizophrenia - epidemiology</topic><topic>Schizophrenia - genetics</topic><topic>Survival analysis</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fernandez-Egea, Emilio</creatorcontrib><creatorcontrib>Walker, Ryan</creatorcontrib><creatorcontrib>Ziauddeen, Hisham</creatorcontrib><creatorcontrib>Cardinal, Rudolf N</creatorcontrib><creatorcontrib>Bullmore, Edward T</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</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>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</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 Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</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 Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMJ open diabetes research & care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fernandez-Egea, Emilio</au><au>Walker, Ryan</au><au>Ziauddeen, Hisham</au><au>Cardinal, Rudolf N</au><au>Bullmore, Edward T</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Birth weight, family history of diabetes and diabetes onset in schizophrenia</atitle><jtitle>BMJ open diabetes research & care</jtitle><addtitle>BMJ Open Diabetes Res Care</addtitle><date>2020-01-01</date><risdate>2020</risdate><volume>8</volume><issue>1</issue><spage>e001036</spage><pages>e001036-</pages><issn>2052-4897</issn><eissn>2052-4897</eissn><abstract>IntroductionThe prevalence of diabetes in schizophrenia is twice that in the general population, but there are few reliable predictors of which individuals will develop glucose dysregulation.ObjectiveTo test if abnormal birth weight (either too low or too high) and parental diabetes, both variables that can be ascertained in the clinic, can predict diabetes onset in patients with schizophrenia.Research design and methodsElectronic records of a cohort of 190 clozapine-treated patients (37% treated for more than 20 years) and Cox regression survival analysis (with any type of glucose dysregulation as the event) to account for differences in length of treatment before the event and age at clozapine treatment initiation.ResultsAge at clozapine initiation (Exp(B)=1.098; p<0.001), family history of diabetes (Exp(B)=2.299; p=0.049) and birth weight2 (Exp(B)=0.999; p=0.013) were significant predictors of glucose dysregulation onset, while gender was not (Exp(B)=0.1.350; p=0.517). Among individuals with 10 years of follow-up, 80% of those with both abnormal birth weight and a family history of diabetes developed diabetes compared with 56% with only abnormal birth weight, 40% with only a family history of diabetes and 20% in those with neither.ConclusionsSince 48% of cases had at least one risk factor and 6% had both risk factors, there is a substantial proportion of patients for whom preventive strategies could be implemented.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>32049635</pmid><doi>10.1136/bmjdrc-2019-001036</doi><orcidid>https://orcid.org/0000-0003-4128-8955</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age Antipsychotic Agents - adverse effects Birth Weight Body Mass Index Cardiovascular and Metabolic Risk Clinical medicine Diabetes Diabetes Mellitus - drug therapy Diabetes Mellitus - epidemiology Diabetes Mellitus - genetics Humans Hypotheses Metabolism Patients Population Primary care Psychotropic drugs Schizophrenia Schizophrenia - drug therapy Schizophrenia - epidemiology Schizophrenia - genetics Survival analysis Variables |
title | Birth weight, family history of diabetes and diabetes onset in schizophrenia |
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