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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de psychologie [LabPsy]
dc.contributor.authorM'BAILARA, Katia
ORCID: 0000-0003-0211-3298
IDREF: 096257296
hal.structure.identifierDirection de l'évaluation, de la prospective et de la performance [DEPP]
dc.contributor.authorCOSNEFROY, Olivier
hal.structure.identifierUniversitat de Barcelona [UB]
hal.structure.identifierInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)
hal.structure.identifierCentro de Investigación Biomédica en Red Salud Mental [Madrid] [CIBER-SAM]
dc.contributor.authorVIETA, Eduard
hal.structure.identifierInstitute of Neuroscience [Newcastle] [ION]
hal.structure.identifierFondation FondaMental [Créteil]
hal.structure.identifierUniversité Paris-Est Créteil Val-de-Marne - Paris 12 [UPEC UP12]
dc.contributor.authorSCOTT, Jan
hal.structure.identifierFondation FondaMental [Créteil]
hal.structure.identifierPôle de Psychiatrie [Hôpital Henri Mondor]
hal.structure.identifierGroupe hospitalier universitaire Paris psychiatrie & neurosciences [Paris] [GHU Paris Psychiatrie et Neurosciences]
hal.structure.identifierInstitut de psychiatrie et neurosciences de Paris [IPNP - U1266 Inserm]
dc.contributor.authorHENRY, Chantal
dc.date.accessioned2025-07-07T14:03:59Z
dc.date.available2025-07-07T14:03:59Z
dc.date.issued2013-02-15
dc.identifier.issn1573-2517en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/207244
dc.description.abstractEnPattern analysis can aid understanding of trajectories of symptom evolution. However, most studies focus on relatively homogeneous disorders with a restricted range of outcomes, prescribed a limited number of classes of medication. We explored the utility of pattern analysis in defining short-term outcomes in a heterogeneous clinical sample with acute bipolar disorders. In a naturalistic observational study, we used Group-based trajectory modeling (GBTM) to define trajectories of symptom change in 118 bipolar cases recruited during an acute DSM IV episode: major depression (56%), (hypo)mania (26%), and mixed states (18%). Symptoms were assessed weekly for a month using the MATHYS, which measures symptoms independent of episode polarity. Four trajectories of symptom change were identified: Persistent Inhibition, Transient Inhibition, Transient Activation and Over-activation. However, counter to traditional predictions, we observed that bipolar depression shows a heterogeneous response pattern with cases being distributed approximately equally across trajectories that commenced with inhibition and activation. The observational period focuses on acute outcomes and so we cannot use the findings to predict whether the trajectories lead to stable improvement or whether the clinical course for some clusters is cyclical. As in all GBTM, the terms used for each trajectory are subjective, also the modeling programme we used assumes dropouts are random, which is clearly not always the case. This paper highlights the potential importance of techniques such as GBTM in distinguishing the different response trajectories for acutely ill bipolar cases. The use of the MATHYS provides further critical insights, demonstrating that clustering of cases with similar response patterns may be independent of episodes defined by mood state.
dc.language.isoENen_US
dc.subject.enBipolar disorder
dc.subject.enMood
dc.subject.enTrajectory
dc.subject.enInhibition
dc.subject.enActivation
dc.subject.enAcute episode-MATHYS
dc.title.enGroup-based trajectory modeling: a novel approach to examining symptom trajectories in acute bipolar episodes.
dc.title.alternativeJ Affect Disorden_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.jad.2012.07.007en_US
dc.subject.halSciences de l'Homme et Société/Psychologieen_US
dc.identifier.pubmed22884011en_US
bordeaux.journalJournal of Affective Disordersen_US
bordeaux.page36-41en_US
bordeaux.volume145en_US
bordeaux.hal.laboratoriesLaboratoire de psychologie (LabPsy) - UR 4139en_US
bordeaux.issue1en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcepubmed
hal.identifierhal-05148878
hal.version1
hal.date.transferred2025-07-07T14:04:01Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
workflow.import.sourcepubmed
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Affective%20Disorders&rft.date=2013-02-15&rft.volume=145&rft.issue=1&rft.spage=36-41&rft.epage=36-41&rft.eissn=1573-2517&rft.issn=1573-2517&rft.au=M'BAILARA,%20Katia&COSNEFROY,%20Olivier&VIETA,%20Eduard&SCOTT,%20Jan&HENRY,%20Chantal&rft.genre=article


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