Exploring Risk and Resilient Profiles for Functional Impairment and Baseline Predictors in a 2-Year Follow-Up First-Episode Psychosis Cohort Using Latent Class Growth Analysis
Being able to predict functional outcomes after First-Episode Psychosis (FEP) is a major goal in psychiatry. Thus, we aimed to identify trajectories of psychosocial functioning in a FEP cohort followed-up for 2 years in order to find premorbid/baseline predictors for each trajectory. Additionally, w...
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Veröffentlicht in: | Journal of clinical medicine 2020-12, Vol.10 (1), p.73 |
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creator | Salagre, Estela Grande, Iria Solé, Brisa Mezquida, Gisela Cuesta, Manuel J Díaz-Caneja, Covadonga M Amoretti, Silvia Lobo, Antonio González-Pinto, Ana Moreno, Carmen Pina-Camacho, Laura Corripio, Iluminada Baeza, Immaculada Bergé, Daniel Verdolini, Norma Carvalho, André F Vieta, Eduard Bernardo, Miquel PEPs Group |
description | Being able to predict functional outcomes after First-Episode Psychosis (FEP) is a major goal in psychiatry. Thus, we aimed to identify trajectories of psychosocial functioning in a FEP cohort followed-up for 2 years in order to find premorbid/baseline predictors for each trajectory. Additionally, we explored diagnosis distribution within the different trajectories. A total of 261 adults with FEP were included. Latent class growth analysis identified four distinct trajectories: Mild impairment-Improving trajectory (Mi-I) (38.31% of the sample), Moderate impairment-Stable trajectory (Mo-S) (18.39%), Severe impairment-Improving trajectory (Se-I) (12.26%), and Severe impairment-Stable trajectory (Se-S) (31.03%). Participants in the Mi-I trajectory were more likely to have higher parental socioeconomic status, less severe baseline depressive and negative symptoms, and better premorbid adjustment than individuals in the Se-S trajectory. Participants in the Se-I trajectory were more likely to have better baseline verbal learning and memory and better premorbid adjustment than those in the Se-S trajectory. Lower baseline positive symptoms predicted a Mo-S trajectory vs. Se-S trajectory. Diagnoses of Bipolar disorder and Other psychoses were more prevalent among individuals falling into Mi-I trajectory. Our findings suggest four distinct trajectories of psychosocial functioning after FEP. We also identified social, clinical, and cognitive factors associated with more resilient trajectories, thus providing insights for early interventions targeting psychosocial functioning. |
doi_str_mv | 10.3390/jcm10010073 |
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Thus, we aimed to identify trajectories of psychosocial functioning in a FEP cohort followed-up for 2 years in order to find premorbid/baseline predictors for each trajectory. Additionally, we explored diagnosis distribution within the different trajectories. A total of 261 adults with FEP were included. Latent class growth analysis identified four distinct trajectories: Mild impairment-Improving trajectory (Mi-I) (38.31% of the sample), Moderate impairment-Stable trajectory (Mo-S) (18.39%), Severe impairment-Improving trajectory (Se-I) (12.26%), and Severe impairment-Stable trajectory (Se-S) (31.03%). Participants in the Mi-I trajectory were more likely to have higher parental socioeconomic status, less severe baseline depressive and negative symptoms, and better premorbid adjustment than individuals in the Se-S trajectory. Participants in the Se-I trajectory were more likely to have better baseline verbal learning and memory and better premorbid adjustment than those in the Se-S trajectory. Lower baseline positive symptoms predicted a Mo-S trajectory vs. Se-S trajectory. Diagnoses of Bipolar disorder and Other psychoses were more prevalent among individuals falling into Mi-I trajectory. Our findings suggest four distinct trajectories of psychosocial functioning after FEP. We also identified social, clinical, and cognitive factors associated with more resilient trajectories, thus providing insights for early interventions targeting psychosocial functioning.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm10010073</identifier><identifier>PMID: 33379225</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Clinical medicine ; Intelligence tests ; Latent class analysis ; Mental disorders ; Mental health ; Neuropsychology ; Patients ; Personal relationships ; Psychosis ; Remission (Medicine) ; Sociodemographics</subject><ispartof>Journal of clinical medicine, 2020-12, Vol.10 (1), p.73</ispartof><rights>2020 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 by the authors. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-7a56138ea7b0a2ad717f0c12c2a2c69ce62ce5d7fb1abd0eda59a5da20f7f47d3</citedby><cites>FETCH-LOGICAL-c409t-7a56138ea7b0a2ad717f0c12c2a2c69ce62ce5d7fb1abd0eda59a5da20f7f47d3</cites><orcidid>0000-0001-6017-2734 ; 0000-0001-6352-5179 ; 0000-0001-8538-3175 ; 0000-0002-0548-0053 ; 0000-0001-9488-2881 ; 0000-0003-2611-5781 ; 0000-0002-6080-2203 ; 0000-0001-8748-6717</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796026/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796026/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33379225$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Salagre, Estela</creatorcontrib><creatorcontrib>Grande, Iria</creatorcontrib><creatorcontrib>Solé, Brisa</creatorcontrib><creatorcontrib>Mezquida, Gisela</creatorcontrib><creatorcontrib>Cuesta, Manuel J</creatorcontrib><creatorcontrib>Díaz-Caneja, Covadonga M</creatorcontrib><creatorcontrib>Amoretti, Silvia</creatorcontrib><creatorcontrib>Lobo, Antonio</creatorcontrib><creatorcontrib>González-Pinto, Ana</creatorcontrib><creatorcontrib>Moreno, Carmen</creatorcontrib><creatorcontrib>Pina-Camacho, Laura</creatorcontrib><creatorcontrib>Corripio, Iluminada</creatorcontrib><creatorcontrib>Baeza, Immaculada</creatorcontrib><creatorcontrib>Bergé, Daniel</creatorcontrib><creatorcontrib>Verdolini, Norma</creatorcontrib><creatorcontrib>Carvalho, André F</creatorcontrib><creatorcontrib>Vieta, Eduard</creatorcontrib><creatorcontrib>Bernardo, Miquel</creatorcontrib><creatorcontrib>PEPs Group</creatorcontrib><creatorcontrib>PEPs Group</creatorcontrib><title>Exploring Risk and Resilient Profiles for Functional Impairment and Baseline Predictors in a 2-Year Follow-Up First-Episode Psychosis Cohort Using Latent Class Growth Analysis</title><title>Journal of clinical medicine</title><addtitle>J Clin Med</addtitle><description>Being able to predict functional outcomes after First-Episode Psychosis (FEP) is a major goal in psychiatry. 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Participants in the Se-I trajectory were more likely to have better baseline verbal learning and memory and better premorbid adjustment than those in the Se-S trajectory. Lower baseline positive symptoms predicted a Mo-S trajectory vs. Se-S trajectory. Diagnoses of Bipolar disorder and Other psychoses were more prevalent among individuals falling into Mi-I trajectory. Our findings suggest four distinct trajectories of psychosocial functioning after FEP. We also identified social, clinical, and cognitive factors associated with more resilient trajectories, thus providing insights for early interventions targeting psychosocial functioning.</description><subject>Clinical medicine</subject><subject>Intelligence tests</subject><subject>Latent class analysis</subject><subject>Mental disorders</subject><subject>Mental health</subject><subject>Neuropsychology</subject><subject>Patients</subject><subject>Personal relationships</subject><subject>Psychosis</subject><subject>Remission (Medicine)</subject><subject>Sociodemographics</subject><issn>2077-0383</issn><issn>2077-0383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkk1r3DAQhk1paUKaU-9F0EuhuNWHba0vhXTZTQMLKaF76MnMSnJWW9lyNXKS_VX5i5FJGrYZBCPQM--8YibL3jP6RYiaft2pjlGajhSvsmNOpcypmInXB_ej7BRxR1PMZgVn8m12JISQNeflcXa_uBucD7a_JlcW_xDoNbkyaJ01fSQ_g2-tM0haH8hy7FW0vgdHLroBbOgmZCr4Dmic7U3ijbYq-oDE9gQIz38bSJXeOX-brweytAFjvhgsep1w3KutR4tk7rc-RLLGycgK4qQ8d4BIzoO_jVtyltruE_kue9OCQ3P6lE-y9XLxa_4jX12eX8zPVrkqaB1zCWXFxMyA3FDgoCWTLVWMKw5cVbUyFVem1LLdMNhoajSUNZQaOG1lW0gtTrJvj7rDuOmMVslQANcMwXYQ9o0H2_z_0tttc-1vGinrivIqCXx6Egj-72gwNp1FZZyD3vgRG17IoqhlVdYJ_fgC3fkxpA8nqioYLaZpJerzI6WCRwymfTbDaDPtQnOwC4n-cOj_mf03efEAE9-zRQ</recordid><startdate>20201228</startdate><enddate>20201228</enddate><creator>Salagre, Estela</creator><creator>Grande, Iria</creator><creator>Solé, Brisa</creator><creator>Mezquida, Gisela</creator><creator>Cuesta, Manuel J</creator><creator>Díaz-Caneja, Covadonga M</creator><creator>Amoretti, Silvia</creator><creator>Lobo, Antonio</creator><creator>González-Pinto, Ana</creator><creator>Moreno, Carmen</creator><creator>Pina-Camacho, Laura</creator><creator>Corripio, Iluminada</creator><creator>Baeza, Immaculada</creator><creator>Bergé, Daniel</creator><creator>Verdolini, Norma</creator><creator>Carvalho, André F</creator><creator>Vieta, Eduard</creator><creator>Bernardo, Miquel</creator><creator>PEPs Group</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</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>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6017-2734</orcidid><orcidid>https://orcid.org/0000-0001-6352-5179</orcidid><orcidid>https://orcid.org/0000-0001-8538-3175</orcidid><orcidid>https://orcid.org/0000-0002-0548-0053</orcidid><orcidid>https://orcid.org/0000-0001-9488-2881</orcidid><orcidid>https://orcid.org/0000-0003-2611-5781</orcidid><orcidid>https://orcid.org/0000-0002-6080-2203</orcidid><orcidid>https://orcid.org/0000-0001-8748-6717</orcidid></search><sort><creationdate>20201228</creationdate><title>Exploring Risk and Resilient Profiles for Functional Impairment and Baseline Predictors in a 2-Year Follow-Up First-Episode Psychosis Cohort Using Latent Class Growth Analysis</title><author>Salagre, Estela ; 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subjects | Clinical medicine Intelligence tests Latent class analysis Mental disorders Mental health Neuropsychology Patients Personal relationships Psychosis Remission (Medicine) Sociodemographics |
title | Exploring Risk and Resilient Profiles for Functional Impairment and Baseline Predictors in a 2-Year Follow-Up First-Episode Psychosis Cohort Using Latent Class Growth Analysis |
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