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...
Ausführliche Beschreibung
Autor*in: |
Estela Salagre [verfasserIn] Iria Grande [verfasserIn] Brisa Solé [verfasserIn] Gisela Mezquida [verfasserIn] Manuel J. Cuesta [verfasserIn] Covadonga M. Díaz-Caneja [verfasserIn] Silvia Amoretti [verfasserIn] Antonio Lobo [verfasserIn] Ana González-Pinto [verfasserIn] Carmen Moreno [verfasserIn] Laura Pina-Camacho [verfasserIn] Iluminada Corripio [verfasserIn] Immaculada Baeza [verfasserIn] Daniel Bergé [verfasserIn] Norma Verdolini [verfasserIn] André F. Carvalho [verfasserIn] Eduard Vieta [verfasserIn] Miquel Bernardo [verfasserIn] PEPs Group [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
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2020 |
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Übergeordnetes Werk: |
In: Journal of Clinical Medicine - MDPI AG, 2013, 10(2020), 1, p 73 |
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Übergeordnetes Werk: |
volume:10 ; year:2020 ; number:1, p 73 |
Links: |
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DOI / URN: |
10.3390/jcm10010073 |
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Katalog-ID: |
DOAJ034170235 |
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10.3390/jcm10010073 doi (DE-627)DOAJ034170235 (DE-599)DOAJb88cc59427ff4978b01a571979d24a33 DE-627 ger DE-627 rakwb eng Estela Salagre verfasserin aut 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 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. first-episode psychosis functional outcomes risk factors early intervention neurocognition latent class analysis Medicine R Iria Grande verfasserin aut Brisa Solé verfasserin aut Gisela Mezquida verfasserin aut Manuel J. Cuesta verfasserin aut Covadonga M. Díaz-Caneja verfasserin aut Silvia Amoretti verfasserin aut Antonio Lobo verfasserin aut Ana González-Pinto verfasserin aut Carmen Moreno verfasserin aut Laura Pina-Camacho verfasserin aut Iluminada Corripio verfasserin aut Immaculada Baeza verfasserin aut Daniel Bergé verfasserin aut Norma Verdolini verfasserin aut André F. Carvalho verfasserin aut Eduard Vieta verfasserin aut Miquel Bernardo verfasserin aut PEPs Group verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 10(2020), 1, p 73 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:10 year:2020 number:1, p 73 https://doi.org/10.3390/jcm10010073 kostenfrei https://doaj.org/article/b88cc59427ff4978b01a571979d24a33 kostenfrei https://www.mdpi.com/2077-0383/10/1/73 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 1, p 73 |
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10.3390/jcm10010073 doi (DE-627)DOAJ034170235 (DE-599)DOAJb88cc59427ff4978b01a571979d24a33 DE-627 ger DE-627 rakwb eng Estela Salagre verfasserin aut 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 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. first-episode psychosis functional outcomes risk factors early intervention neurocognition latent class analysis Medicine R Iria Grande verfasserin aut Brisa Solé verfasserin aut Gisela Mezquida verfasserin aut Manuel J. Cuesta verfasserin aut Covadonga M. Díaz-Caneja verfasserin aut Silvia Amoretti verfasserin aut Antonio Lobo verfasserin aut Ana González-Pinto verfasserin aut Carmen Moreno verfasserin aut Laura Pina-Camacho verfasserin aut Iluminada Corripio verfasserin aut Immaculada Baeza verfasserin aut Daniel Bergé verfasserin aut Norma Verdolini verfasserin aut André F. Carvalho verfasserin aut Eduard Vieta verfasserin aut Miquel Bernardo verfasserin aut PEPs Group verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 10(2020), 1, p 73 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:10 year:2020 number:1, p 73 https://doi.org/10.3390/jcm10010073 kostenfrei https://doaj.org/article/b88cc59427ff4978b01a571979d24a33 kostenfrei https://www.mdpi.com/2077-0383/10/1/73 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 1, p 73 |
allfields_unstemmed |
10.3390/jcm10010073 doi (DE-627)DOAJ034170235 (DE-599)DOAJb88cc59427ff4978b01a571979d24a33 DE-627 ger DE-627 rakwb eng Estela Salagre verfasserin aut 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 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. first-episode psychosis functional outcomes risk factors early intervention neurocognition latent class analysis Medicine R Iria Grande verfasserin aut Brisa Solé verfasserin aut Gisela Mezquida verfasserin aut Manuel J. Cuesta verfasserin aut Covadonga M. Díaz-Caneja verfasserin aut Silvia Amoretti verfasserin aut Antonio Lobo verfasserin aut Ana González-Pinto verfasserin aut Carmen Moreno verfasserin aut Laura Pina-Camacho verfasserin aut Iluminada Corripio verfasserin aut Immaculada Baeza verfasserin aut Daniel Bergé verfasserin aut Norma Verdolini verfasserin aut André F. Carvalho verfasserin aut Eduard Vieta verfasserin aut Miquel Bernardo verfasserin aut PEPs Group verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 10(2020), 1, p 73 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:10 year:2020 number:1, p 73 https://doi.org/10.3390/jcm10010073 kostenfrei https://doaj.org/article/b88cc59427ff4978b01a571979d24a33 kostenfrei https://www.mdpi.com/2077-0383/10/1/73 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 1, p 73 |
allfieldsGer |
10.3390/jcm10010073 doi (DE-627)DOAJ034170235 (DE-599)DOAJb88cc59427ff4978b01a571979d24a33 DE-627 ger DE-627 rakwb eng Estela Salagre verfasserin aut 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 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. first-episode psychosis functional outcomes risk factors early intervention neurocognition latent class analysis Medicine R Iria Grande verfasserin aut Brisa Solé verfasserin aut Gisela Mezquida verfasserin aut Manuel J. Cuesta verfasserin aut Covadonga M. Díaz-Caneja verfasserin aut Silvia Amoretti verfasserin aut Antonio Lobo verfasserin aut Ana González-Pinto verfasserin aut Carmen Moreno verfasserin aut Laura Pina-Camacho verfasserin aut Iluminada Corripio verfasserin aut Immaculada Baeza verfasserin aut Daniel Bergé verfasserin aut Norma Verdolini verfasserin aut André F. Carvalho verfasserin aut Eduard Vieta verfasserin aut Miquel Bernardo verfasserin aut PEPs Group verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 10(2020), 1, p 73 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:10 year:2020 number:1, p 73 https://doi.org/10.3390/jcm10010073 kostenfrei https://doaj.org/article/b88cc59427ff4978b01a571979d24a33 kostenfrei https://www.mdpi.com/2077-0383/10/1/73 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 1, p 73 |
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10.3390/jcm10010073 doi (DE-627)DOAJ034170235 (DE-599)DOAJb88cc59427ff4978b01a571979d24a33 DE-627 ger DE-627 rakwb eng Estela Salagre verfasserin aut 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 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. first-episode psychosis functional outcomes risk factors early intervention neurocognition latent class analysis Medicine R Iria Grande verfasserin aut Brisa Solé verfasserin aut Gisela Mezquida verfasserin aut Manuel J. Cuesta verfasserin aut Covadonga M. Díaz-Caneja verfasserin aut Silvia Amoretti verfasserin aut Antonio Lobo verfasserin aut Ana González-Pinto verfasserin aut Carmen Moreno verfasserin aut Laura Pina-Camacho verfasserin aut Iluminada Corripio verfasserin aut Immaculada Baeza verfasserin aut Daniel Bergé verfasserin aut Norma Verdolini verfasserin aut André F. Carvalho verfasserin aut Eduard Vieta verfasserin aut Miquel Bernardo verfasserin aut PEPs Group verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 10(2020), 1, p 73 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:10 year:2020 number:1, p 73 https://doi.org/10.3390/jcm10010073 kostenfrei https://doaj.org/article/b88cc59427ff4978b01a571979d24a33 kostenfrei https://www.mdpi.com/2077-0383/10/1/73 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 1, p 73 |
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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 first-episode psychosis functional outcomes risk factors early intervention neurocognition latent class analysis |
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Journal of Clinical Medicine |
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Estela Salagre Iria Grande Brisa Solé Gisela Mezquida Manuel J. Cuesta Covadonga M. Díaz-Caneja Silvia Amoretti Antonio Lobo Ana González-Pinto Carmen Moreno Laura Pina-Camacho Iluminada Corripio Immaculada Baeza Daniel Bergé Norma Verdolini André F. Carvalho Eduard Vieta Miquel Bernardo PEPs Group |
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10 |
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Elektronische Aufsätze |
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Estela Salagre |
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10.3390/jcm10010073 |
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verfasserin |
title_sort |
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_auth |
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 |
abstract |
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. |
abstractGer |
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. |
abstract_unstemmed |
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. |
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1, p 73 |
title_short |
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 |
url |
https://doi.org/10.3390/jcm10010073 https://doaj.org/article/b88cc59427ff4978b01a571979d24a33 https://www.mdpi.com/2077-0383/10/1/73 https://doaj.org/toc/2077-0383 |
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Iria Grande Brisa Solé Gisela Mezquida Manuel J. Cuesta Covadonga M. Díaz-Caneja Silvia Amoretti Antonio Lobo Ana González-Pinto Carmen Moreno Laura Pina-Camacho Iluminada Corripio Immaculada Baeza Daniel Bergé Norma Verdolini André F. Carvalho Eduard Vieta Miquel Bernardo PEPs Group |
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Iria Grande Brisa Solé Gisela Mezquida Manuel J. Cuesta Covadonga M. Díaz-Caneja Silvia Amoretti Antonio Lobo Ana González-Pinto Carmen Moreno Laura Pina-Camacho Iluminada Corripio Immaculada Baeza Daniel Bergé Norma Verdolini André F. Carvalho Eduard Vieta Miquel Bernardo PEPs Group |
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