The Utility of ICD-11 and DSM-5 Traits for Differentiating Patients With Personality Disorders From Other Clinical Groups
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Publication Date: | 2021 |
Other Authors: | , , , , , , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10362/119394 |
Summary: | FUNDING This research was financially supported by the Fundação para a Ciência e a Tecnologia [Foundation for Science and Technology] through the Research Center for Psychological Science, CICPSI (UIDP/04527/2020) and the Business Research Unit, BRUIUL (UIDB/00315/2020). |
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The Utility of ICD-11 and DSM-5 Traits for Differentiating Patients With Personality Disorders From Other Clinical GroupsDSM-5 alternative model for personality disordersICD-11 classification of personality disorderspersonality disorderspersonality traitsPID5BF+MseverityPsychiatry and Mental healthSDG 3 - Good Health and Well-beingFUNDING This research was financially supported by the Fundação para a Ciência e a Tecnologia [Foundation for Science and Technology] through the Research Center for Psychological Science, CICPSI (UIDP/04527/2020) and the Business Research Unit, BRUIUL (UIDB/00315/2020).The ICD-11 Classification of Personality Disorders delineates five trait domain qualifiers (i.e., negative affectivity, detachment, dissociality, disinhibition, and anankastia), whereas the DSM-5 Alternative Model of Personality Disorders also delineates a separate domain of psychoticism. These six combined traits not only characterize individual stylistic features, but also the severity of their maladaptive expressions. It was, therefore, the aim of this study to investigate the utility of ICD-11 and DSM-5 trait domains to differentiate patients with personality disorders (PD) from patients with other mental disorders (non-PD). The Personality Inventory for DSM-5 Brief Form Plus (PID5BF+M) was administered to a sample of patients diagnosed with a personality disorder (N = 124, Mage = 42.21, 42.7% females) along with a sample of patients diagnosed with other mental disorders (N = 335, Mage = 44.83, 46.6% females). Group differences were explored using the independent sample t test or the Mann–Whitney U test for independent samples, and discriminant factor analysis was used to maximize group differences for each trait domain and facet score. The PD group showed significantly higher scores for the total PID5BF+M composite score, for the trait domains of negative affectivity, antagonism/dissociality, and disinhibition and for the trait facets of emotional lability, manipulativeness, deceitfulness, and impulsivity. The trait domains of disinhibition, negative affectivity, and antagonism/dissociality as well as the trait facets of impulsivity, deceitfulness, emotional lability, and manipulativeness were the best discriminators between PD and non-PD patients. The global PID5BF+M composite score was also one of the best discriminators supporting its potential as a global severity index for detecting personality dysfunction. Finally, high scores in three or more of the 18 PID5BF+M facets suggested the possible presence of a PD diagnosis. Despite some limitations, our findings suggest that the ICD-11 and DSM-5 traits have the potential to specifically describe the stylistic features that characterize individuals with PD, including the severity of their maladaptive expressions.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNPires, RuteHenriques-Calado, JoanaSousa Ferreira, AnaBach, BoPaulino, MarcoGama Marques, JoãoRibeiro Moreira, AnaGrácio, JaimeGonçalves, Bruno2021-06-16T22:19:58Z2021-04-162021-04-16T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/119394eng1664-0640PURE: 31444796https://doi.org/10.3389/fpsyt.2021.633882info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:53:51Zoai:run.unl.pt:10362/119394Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:24:57.959043Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
The Utility of ICD-11 and DSM-5 Traits for Differentiating Patients With Personality Disorders From Other Clinical Groups |
title |
The Utility of ICD-11 and DSM-5 Traits for Differentiating Patients With Personality Disorders From Other Clinical Groups |
spellingShingle |
The Utility of ICD-11 and DSM-5 Traits for Differentiating Patients With Personality Disorders From Other Clinical Groups Pires, Rute DSM-5 alternative model for personality disorders ICD-11 classification of personality disorders personality disorders personality traits PID5BF+M severity Psychiatry and Mental health SDG 3 - Good Health and Well-being |
title_short |
The Utility of ICD-11 and DSM-5 Traits for Differentiating Patients With Personality Disorders From Other Clinical Groups |
title_full |
The Utility of ICD-11 and DSM-5 Traits for Differentiating Patients With Personality Disorders From Other Clinical Groups |
title_fullStr |
The Utility of ICD-11 and DSM-5 Traits for Differentiating Patients With Personality Disorders From Other Clinical Groups |
title_full_unstemmed |
The Utility of ICD-11 and DSM-5 Traits for Differentiating Patients With Personality Disorders From Other Clinical Groups |
title_sort |
The Utility of ICD-11 and DSM-5 Traits for Differentiating Patients With Personality Disorders From Other Clinical Groups |
author |
Pires, Rute |
author_facet |
Pires, Rute Henriques-Calado, Joana Sousa Ferreira, Ana Bach, Bo Paulino, Marco Gama Marques, João Ribeiro Moreira, Ana Grácio, Jaime Gonçalves, Bruno |
author_role |
author |
author2 |
Henriques-Calado, Joana Sousa Ferreira, Ana Bach, Bo Paulino, Marco Gama Marques, João Ribeiro Moreira, Ana Grácio, Jaime Gonçalves, Bruno |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM) RUN |
dc.contributor.author.fl_str_mv |
Pires, Rute Henriques-Calado, Joana Sousa Ferreira, Ana Bach, Bo Paulino, Marco Gama Marques, João Ribeiro Moreira, Ana Grácio, Jaime Gonçalves, Bruno |
dc.subject.por.fl_str_mv |
DSM-5 alternative model for personality disorders ICD-11 classification of personality disorders personality disorders personality traits PID5BF+M severity Psychiatry and Mental health SDG 3 - Good Health and Well-being |
topic |
DSM-5 alternative model for personality disorders ICD-11 classification of personality disorders personality disorders personality traits PID5BF+M severity Psychiatry and Mental health SDG 3 - Good Health and Well-being |
description |
FUNDING This research was financially supported by the Fundação para a Ciência e a Tecnologia [Foundation for Science and Technology] through the Research Center for Psychological Science, CICPSI (UIDP/04527/2020) and the Business Research Unit, BRUIUL (UIDB/00315/2020). |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-16T22:19:58Z 2021-04-16 2021-04-16T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/119394 |
url |
http://hdl.handle.net/10362/119394 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1664-0640 PURE: 31444796 https://doi.org/10.3389/fpsyt.2021.633882 |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
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reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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