Specific metabolic syndrome components predict cognition and social functioning in people with type 2 diabetes mellitus and severe mental disorders
Objective Obesity and metabolic diseases such as metabolic syndrome (MetS) are more prevalent in people with type 2 diabetes mellitus (T2DM), major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ). MetS components might be associated with neurocognitive and functional impairm...
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Veröffentlicht in: | Acta psychiatrica Scandinavica 2022-09, Vol.146 (3), p.215-226 |
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creator | Sánchez‐Ortí, Joan Vicent Balanzá‐Martínez, Vicent Correa‐Ghisays, Patricia Selva‐Vera, Gabriel Vila‐Francés, Joan Magdalena‐Benedito, Rafael San‐Martin, Constanza Victor, Víctor M. Escribano‐Lopez, Irene Hernández‐Mijares, Antonio Vivas‐Lalinde, Juliana Crespo‐Facorro, Benedicto Tabarés‐Seisdedos, Rafael |
description | Objective
Obesity and metabolic diseases such as metabolic syndrome (MetS) are more prevalent in people with type 2 diabetes mellitus (T2DM), major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ). MetS components might be associated with neurocognitive and functional impairments in these individuals. The predictive and discriminatory validity of MetS and its components regarding those outcomes were assessed from prospective and transdiagnostic perspectives.
Methods
Metabolic syndrome components and neurocognitive and social functioning were assessed in 165 subjects, including 30 with SZ, 42 with BD, 35 with MDD, 30 with T2DM, and 28 healthy controls (HCs). A posteriori, individuals were classified into two groups. The MetS group consisted of those who met at least three of the following criteria: abdominal obesity (AO), elevated triglycerides (TG), reduced high‐density lipoprotein cholesterol (HDL), elevated blood pressure (BP), and elevated fasting glucose (FPG); the remaining participants comprised the No‐MetS group. Mixed one‐way analysis of covariance and linear and binary logistic regression analyses were performed.
Results
Cognitive impairment was significantly greater in the MetS group (n = 82) than in the No‐MetS group (n = 83), with small effect sizes (p < 0.05; η²p = 0.02 – 0.03). In both groups, the most robust associations between MetS components and neurocognitive and social functioning were observed with TG and FPG (p < 0.05). There was also evidence for a significant relationship between cognition and BP in the MetS group (p < 0.05). The combination of TG, FPG, elevated systolic BP and HDL best classified individuals with greater cognitive impairment (p < 0.001), and TG was the most accurate (p < 0.0001).
Conclusions
Specific MetS components are significantly associated with cognitive impairment across somatic and psychiatric disorders. Our findings provide further evidence on the summative effect of MetS components to predict cognition and social functioning and allow the identification of individuals with worse outcomes. Transdiagnostic, lifestyle‐based therapeutic interventions targeted at that group hold the potential to improve health outcomes. |
doi_str_mv | 10.1111/acps.13433 |
format | Article |
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Obesity and metabolic diseases such as metabolic syndrome (MetS) are more prevalent in people with type 2 diabetes mellitus (T2DM), major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ). MetS components might be associated with neurocognitive and functional impairments in these individuals. The predictive and discriminatory validity of MetS and its components regarding those outcomes were assessed from prospective and transdiagnostic perspectives.
Methods
Metabolic syndrome components and neurocognitive and social functioning were assessed in 165 subjects, including 30 with SZ, 42 with BD, 35 with MDD, 30 with T2DM, and 28 healthy controls (HCs). A posteriori, individuals were classified into two groups. The MetS group consisted of those who met at least three of the following criteria: abdominal obesity (AO), elevated triglycerides (TG), reduced high‐density lipoprotein cholesterol (HDL), elevated blood pressure (BP), and elevated fasting glucose (FPG); the remaining participants comprised the No‐MetS group. Mixed one‐way analysis of covariance and linear and binary logistic regression analyses were performed.
Results
Cognitive impairment was significantly greater in the MetS group (n = 82) than in the No‐MetS group (n = 83), with small effect sizes (p < 0.05; η²p = 0.02 – 0.03). In both groups, the most robust associations between MetS components and neurocognitive and social functioning were observed with TG and FPG (p < 0.05). There was also evidence for a significant relationship between cognition and BP in the MetS group (p < 0.05). The combination of TG, FPG, elevated systolic BP and HDL best classified individuals with greater cognitive impairment (p < 0.001), and TG was the most accurate (p < 0.0001).
Conclusions
Specific MetS components are significantly associated with cognitive impairment across somatic and psychiatric disorders. Our findings provide further evidence on the summative effect of MetS components to predict cognition and social functioning and allow the identification of individuals with worse outcomes. Transdiagnostic, lifestyle‐based therapeutic interventions targeted at that group hold the potential to improve health outcomes.</description><identifier>ISSN: 0001-690X</identifier><identifier>EISSN: 1600-0447</identifier><identifier>DOI: 10.1111/acps.13433</identifier><identifier>PMID: 35359023</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Analysis of covariance ; Bipolar disorder ; Blood pressure ; Cholesterol ; Cognition ; Cognition & reasoning ; Cognitive ability ; Diabetes ; Diabetes mellitus (non-insulin dependent) ; High density lipoprotein ; Mental depression ; Mental disorders ; Metabolic syndrome ; Obesity ; Schizophrenia ; severe mental disorder ; social functioning ; Social interactions ; Therapeutic applications ; Triglycerides ; type 2 diabetes mellitus</subject><ispartof>Acta psychiatrica Scandinavica, 2022-09, Vol.146 (3), p.215-226</ispartof><rights>2022 The Authors. published by John Wiley & Sons Ltd.</rights><rights>2022 The Authors. Acta Psychiatrica Scandinavica published by John Wiley & Sons Ltd.</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3933-acf2c80684330986f6ac863d33b1ac6df5160c6a0e2b31e73379d1f8ac173b6e3</citedby><cites>FETCH-LOGICAL-c3933-acf2c80684330986f6ac863d33b1ac6df5160c6a0e2b31e73379d1f8ac173b6e3</cites><orcidid>0000-0003-3752-8231 ; 0000-0001-8293-8235 ; 0000-0002-8209-6688 ; 0000-0003-0033-7132 ; 0000-0003-0347-5442 ; 0000-0002-1089-2204 ; 0000-0001-9895-8361 ; 0000-0001-7772-7396 ; 0000-0003-4099-1905 ; 0000-0002-1752-7349</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Facps.13433$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Facps.13433$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35359023$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sánchez‐Ortí, Joan Vicent</creatorcontrib><creatorcontrib>Balanzá‐Martínez, Vicent</creatorcontrib><creatorcontrib>Correa‐Ghisays, Patricia</creatorcontrib><creatorcontrib>Selva‐Vera, Gabriel</creatorcontrib><creatorcontrib>Vila‐Francés, Joan</creatorcontrib><creatorcontrib>Magdalena‐Benedito, Rafael</creatorcontrib><creatorcontrib>San‐Martin, Constanza</creatorcontrib><creatorcontrib>Victor, Víctor M.</creatorcontrib><creatorcontrib>Escribano‐Lopez, Irene</creatorcontrib><creatorcontrib>Hernández‐Mijares, Antonio</creatorcontrib><creatorcontrib>Vivas‐Lalinde, Juliana</creatorcontrib><creatorcontrib>Crespo‐Facorro, Benedicto</creatorcontrib><creatorcontrib>Tabarés‐Seisdedos, Rafael</creatorcontrib><title>Specific metabolic syndrome components predict cognition and social functioning in people with type 2 diabetes mellitus and severe mental disorders</title><title>Acta psychiatrica Scandinavica</title><addtitle>Acta Psychiatr Scand</addtitle><description>Objective
Obesity and metabolic diseases such as metabolic syndrome (MetS) are more prevalent in people with type 2 diabetes mellitus (T2DM), major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ). MetS components might be associated with neurocognitive and functional impairments in these individuals. The predictive and discriminatory validity of MetS and its components regarding those outcomes were assessed from prospective and transdiagnostic perspectives.
Methods
Metabolic syndrome components and neurocognitive and social functioning were assessed in 165 subjects, including 30 with SZ, 42 with BD, 35 with MDD, 30 with T2DM, and 28 healthy controls (HCs). A posteriori, individuals were classified into two groups. The MetS group consisted of those who met at least three of the following criteria: abdominal obesity (AO), elevated triglycerides (TG), reduced high‐density lipoprotein cholesterol (HDL), elevated blood pressure (BP), and elevated fasting glucose (FPG); the remaining participants comprised the No‐MetS group. Mixed one‐way analysis of covariance and linear and binary logistic regression analyses were performed.
Results
Cognitive impairment was significantly greater in the MetS group (n = 82) than in the No‐MetS group (n = 83), with small effect sizes (p < 0.05; η²p = 0.02 – 0.03). In both groups, the most robust associations between MetS components and neurocognitive and social functioning were observed with TG and FPG (p < 0.05). There was also evidence for a significant relationship between cognition and BP in the MetS group (p < 0.05). The combination of TG, FPG, elevated systolic BP and HDL best classified individuals with greater cognitive impairment (p < 0.001), and TG was the most accurate (p < 0.0001).
Conclusions
Specific MetS components are significantly associated with cognitive impairment across somatic and psychiatric disorders. Our findings provide further evidence on the summative effect of MetS components to predict cognition and social functioning and allow the identification of individuals with worse outcomes. Transdiagnostic, lifestyle‐based therapeutic interventions targeted at that group hold the potential to improve health outcomes.</description><subject>Analysis of covariance</subject><subject>Bipolar disorder</subject><subject>Blood pressure</subject><subject>Cholesterol</subject><subject>Cognition</subject><subject>Cognition & reasoning</subject><subject>Cognitive ability</subject><subject>Diabetes</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>High density lipoprotein</subject><subject>Mental depression</subject><subject>Mental disorders</subject><subject>Metabolic syndrome</subject><subject>Obesity</subject><subject>Schizophrenia</subject><subject>severe mental disorder</subject><subject>social functioning</subject><subject>Social interactions</subject><subject>Therapeutic applications</subject><subject>Triglycerides</subject><subject>type 2 diabetes mellitus</subject><issn>0001-690X</issn><issn>1600-0447</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp9kc9qHSEUxiW0NDdpN3mAIHQTCpP6Z8aZWYZL0hYCLaSF7sTRM4lhRo06Cfc5-sL1dpIuuqibox8_P8_xQ-iEknNa1kelQzqnvOb8AG2oIKQidd2-QhtCCK1ET34eoqOU7suxoaR7gw55w5ueML5Bv24CaDtajWfIavBT2aWdM9HPgLWfg3fgcsIhgrE6F-nW2Wy9w8oZnLy2asLj4vRes-4WW4cD-DABfrL5DuddAMywsWqADKm8Mk02L2m9Do8QoWguFxdjk48GYnqLXo9qSvDuuR6jH1eX37efq-uvn75sL64rzXvOK6VHpjsiujI46TsxCqU7wQ3nA1VamLEpf6GFIsAGTqHlvO0NHTulacsHAfwYna2-IfqHBVKWs026NKgc-CVJJmrRMtaypqDv_0Hv_RJd6U6ylpC260XdFerDSunoU4owyhDtrOJOUiL3Ucl9VPJPVAU-fbZchhnMX_QlmwLQFXiyE-z-YyUvtt9uVtPf1a-hCg</recordid><startdate>202209</startdate><enddate>202209</enddate><creator>Sánchez‐Ortí, Joan Vicent</creator><creator>Balanzá‐Martínez, Vicent</creator><creator>Correa‐Ghisays, Patricia</creator><creator>Selva‐Vera, Gabriel</creator><creator>Vila‐Francés, Joan</creator><creator>Magdalena‐Benedito, Rafael</creator><creator>San‐Martin, Constanza</creator><creator>Victor, Víctor M.</creator><creator>Escribano‐Lopez, Irene</creator><creator>Hernández‐Mijares, Antonio</creator><creator>Vivas‐Lalinde, Juliana</creator><creator>Crespo‐Facorro, Benedicto</creator><creator>Tabarés‐Seisdedos, Rafael</creator><general>Blackwell Publishing Ltd</general><scope>24P</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3752-8231</orcidid><orcidid>https://orcid.org/0000-0001-8293-8235</orcidid><orcidid>https://orcid.org/0000-0002-8209-6688</orcidid><orcidid>https://orcid.org/0000-0003-0033-7132</orcidid><orcidid>https://orcid.org/0000-0003-0347-5442</orcidid><orcidid>https://orcid.org/0000-0002-1089-2204</orcidid><orcidid>https://orcid.org/0000-0001-9895-8361</orcidid><orcidid>https://orcid.org/0000-0001-7772-7396</orcidid><orcidid>https://orcid.org/0000-0003-4099-1905</orcidid><orcidid>https://orcid.org/0000-0002-1752-7349</orcidid></search><sort><creationdate>202209</creationdate><title>Specific metabolic syndrome components predict cognition and social functioning in people with type 2 diabetes mellitus and severe mental disorders</title><author>Sánchez‐Ortí, Joan Vicent ; Balanzá‐Martínez, Vicent ; Correa‐Ghisays, Patricia ; Selva‐Vera, Gabriel ; Vila‐Francés, Joan ; Magdalena‐Benedito, Rafael ; San‐Martin, Constanza ; Victor, Víctor M. ; Escribano‐Lopez, Irene ; Hernández‐Mijares, Antonio ; Vivas‐Lalinde, Juliana ; Crespo‐Facorro, Benedicto ; Tabarés‐Seisdedos, Rafael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3933-acf2c80684330986f6ac863d33b1ac6df5160c6a0e2b31e73379d1f8ac173b6e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Analysis of covariance</topic><topic>Bipolar disorder</topic><topic>Blood pressure</topic><topic>Cholesterol</topic><topic>Cognition</topic><topic>Cognition & reasoning</topic><topic>Cognitive ability</topic><topic>Diabetes</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>High density lipoprotein</topic><topic>Mental depression</topic><topic>Mental disorders</topic><topic>Metabolic syndrome</topic><topic>Obesity</topic><topic>Schizophrenia</topic><topic>severe mental disorder</topic><topic>social functioning</topic><topic>Social interactions</topic><topic>Therapeutic applications</topic><topic>Triglycerides</topic><topic>type 2 diabetes mellitus</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sánchez‐Ortí, Joan Vicent</creatorcontrib><creatorcontrib>Balanzá‐Martínez, Vicent</creatorcontrib><creatorcontrib>Correa‐Ghisays, Patricia</creatorcontrib><creatorcontrib>Selva‐Vera, Gabriel</creatorcontrib><creatorcontrib>Vila‐Francés, Joan</creatorcontrib><creatorcontrib>Magdalena‐Benedito, Rafael</creatorcontrib><creatorcontrib>San‐Martin, Constanza</creatorcontrib><creatorcontrib>Victor, Víctor M.</creatorcontrib><creatorcontrib>Escribano‐Lopez, Irene</creatorcontrib><creatorcontrib>Hernández‐Mijares, Antonio</creatorcontrib><creatorcontrib>Vivas‐Lalinde, Juliana</creatorcontrib><creatorcontrib>Crespo‐Facorro, Benedicto</creatorcontrib><creatorcontrib>Tabarés‐Seisdedos, Rafael</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Acta psychiatrica Scandinavica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sánchez‐Ortí, Joan Vicent</au><au>Balanzá‐Martínez, Vicent</au><au>Correa‐Ghisays, Patricia</au><au>Selva‐Vera, Gabriel</au><au>Vila‐Francés, Joan</au><au>Magdalena‐Benedito, Rafael</au><au>San‐Martin, Constanza</au><au>Victor, Víctor M.</au><au>Escribano‐Lopez, Irene</au><au>Hernández‐Mijares, Antonio</au><au>Vivas‐Lalinde, Juliana</au><au>Crespo‐Facorro, Benedicto</au><au>Tabarés‐Seisdedos, Rafael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Specific metabolic syndrome components predict cognition and social functioning in people with type 2 diabetes mellitus and severe mental disorders</atitle><jtitle>Acta psychiatrica Scandinavica</jtitle><addtitle>Acta Psychiatr Scand</addtitle><date>2022-09</date><risdate>2022</risdate><volume>146</volume><issue>3</issue><spage>215</spage><epage>226</epage><pages>215-226</pages><issn>0001-690X</issn><eissn>1600-0447</eissn><abstract>Objective
Obesity and metabolic diseases such as metabolic syndrome (MetS) are more prevalent in people with type 2 diabetes mellitus (T2DM), major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ). MetS components might be associated with neurocognitive and functional impairments in these individuals. The predictive and discriminatory validity of MetS and its components regarding those outcomes were assessed from prospective and transdiagnostic perspectives.
Methods
Metabolic syndrome components and neurocognitive and social functioning were assessed in 165 subjects, including 30 with SZ, 42 with BD, 35 with MDD, 30 with T2DM, and 28 healthy controls (HCs). A posteriori, individuals were classified into two groups. The MetS group consisted of those who met at least three of the following criteria: abdominal obesity (AO), elevated triglycerides (TG), reduced high‐density lipoprotein cholesterol (HDL), elevated blood pressure (BP), and elevated fasting glucose (FPG); the remaining participants comprised the No‐MetS group. Mixed one‐way analysis of covariance and linear and binary logistic regression analyses were performed.
Results
Cognitive impairment was significantly greater in the MetS group (n = 82) than in the No‐MetS group (n = 83), with small effect sizes (p < 0.05; η²p = 0.02 – 0.03). In both groups, the most robust associations between MetS components and neurocognitive and social functioning were observed with TG and FPG (p < 0.05). There was also evidence for a significant relationship between cognition and BP in the MetS group (p < 0.05). The combination of TG, FPG, elevated systolic BP and HDL best classified individuals with greater cognitive impairment (p < 0.001), and TG was the most accurate (p < 0.0001).
Conclusions
Specific MetS components are significantly associated with cognitive impairment across somatic and psychiatric disorders. Our findings provide further evidence on the summative effect of MetS components to predict cognition and social functioning and allow the identification of individuals with worse outcomes. Transdiagnostic, lifestyle‐based therapeutic interventions targeted at that group hold the potential to improve health outcomes.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>35359023</pmid><doi>10.1111/acps.13433</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-3752-8231</orcidid><orcidid>https://orcid.org/0000-0001-8293-8235</orcidid><orcidid>https://orcid.org/0000-0002-8209-6688</orcidid><orcidid>https://orcid.org/0000-0003-0033-7132</orcidid><orcidid>https://orcid.org/0000-0003-0347-5442</orcidid><orcidid>https://orcid.org/0000-0002-1089-2204</orcidid><orcidid>https://orcid.org/0000-0001-9895-8361</orcidid><orcidid>https://orcid.org/0000-0001-7772-7396</orcidid><orcidid>https://orcid.org/0000-0003-4099-1905</orcidid><orcidid>https://orcid.org/0000-0002-1752-7349</orcidid><oa>free_for_read</oa></addata></record> |
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source | Wiley Online Library Journals Frontfile Complete |
subjects | Analysis of covariance Bipolar disorder Blood pressure Cholesterol Cognition Cognition & reasoning Cognitive ability Diabetes Diabetes mellitus (non-insulin dependent) High density lipoprotein Mental depression Mental disorders Metabolic syndrome Obesity Schizophrenia severe mental disorder social functioning Social interactions Therapeutic applications Triglycerides type 2 diabetes mellitus |
title | Specific metabolic syndrome components predict cognition and social functioning in people with type 2 diabetes mellitus and severe mental disorders |
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