Dysfunctional personality traits: Relationship with five factor model, adaptation and symptomatology in a community sample from Buenos Aires

Autores
Stover, Juliana Beatriz; Castro Solano, Alejandro; Fernandez Liporace, Maria Mercedes
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The paper introduces an analysis of the dimensional maladaptive personality traits model stated in the section III of Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5), conducted on a community sample composed of 906 adults from Buenos Aires, Argentina. Data were gathered using a socio-demographic survey as well as the Personality Inventory for DSM-5 (PID-5), the Big Five Inventory (BFI), the Symptom Check List 90-R (SCL-90-R), and the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0). A joint exploratory factor analysis was carried out including the PID-5’s 25 facets along with BFI’s 5 factors as input variables. Findings showed a 5-factor structure mostly coincident with DSM-5’s hypotheses as well as with previous research. Besides, correlations calculated between PID-5 and BFI scores behaved according to theoretical hypotheses. By means of a two-stage cluster analysis which used WHODAS 2.0 score and the Global Severity Index index from SCL-90-R as segmentation criteria, two groups were differentiated: The High-Adaptation/Low-Symptomatology group vs the Low- Adaptation/High-Symptomatology one. The second group obtained significantly higher means in the five domains, and in 24 of the 25 facets of PID-5.
Fil: Stover, Juliana Beatriz. Universidad de Buenos Aires. Facultad de Psicología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Castro Solano, Alejandro. Universidad de Palermo. Facultad de Ciencias Sociales. Departamento de Psicología. Centro de Investigación y Posgrados; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Fernandez Liporace, Maria Mercedes. Universidad de Buenos Aires. Facultad de Psicología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
DYSFUNCTIONAL TRAITS
FIVE FACTOR MODEL
PERSONALITY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/131198
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Dysfunctional personality traits: Relationship with five factor model, adaptation and symptomatology in a community sample from Buenos AiresStover, Juliana BeatrizCastro Solano, AlejandroFernandez Liporace, Maria MercedesDYSFUNCTIONAL TRAITSFIVE FACTOR MODELPERSONALITYhttps://purl.org/becyt/ford/5.1https://purl.org/becyt/ford/5The paper introduces an analysis of the dimensional maladaptive personality traits model stated in the section III of Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5), conducted on a community sample composed of 906 adults from Buenos Aires, Argentina. Data were gathered using a socio-demographic survey as well as the Personality Inventory for DSM-5 (PID-5), the Big Five Inventory (BFI), the Symptom Check List 90-R (SCL-90-R), and the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0). A joint exploratory factor analysis was carried out including the PID-5’s 25 facets along with BFI’s 5 factors as input variables. Findings showed a 5-factor structure mostly coincident with DSM-5’s hypotheses as well as with previous research. Besides, correlations calculated between PID-5 and BFI scores behaved according to theoretical hypotheses. By means of a two-stage cluster analysis which used WHODAS 2.0 score and the Global Severity Index index from SCL-90-R as segmentation criteria, two groups were differentiated: The High-Adaptation/Low-Symptomatology group vs the Low- Adaptation/High-Symptomatology one. The second group obtained significantly higher means in the five domains, and in 24 of the 25 facets of PID-5.Fil: Stover, Juliana Beatriz. Universidad de Buenos Aires. Facultad de Psicología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Castro Solano, Alejandro. Universidad de Palermo. Facultad de Ciencias Sociales. Departamento de Psicología. Centro de Investigación y Posgrados; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Fernandez Liporace, Maria Mercedes. Universidad de Buenos Aires. Facultad de Psicología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaPagePress Publications2019-07-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/131198Stover, Juliana Beatriz; Castro Solano, Alejandro; Fernandez Liporace, Maria Mercedes; Dysfunctional personality traits: Relationship with five factor model, adaptation and symptomatology in a community sample from Buenos Aires; PagePress Publications; Research in Psychotherapy: Psychopathology, Process and Outcome; 22; 2; 30-7-2019; 281-2912239-8031CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.4081/ripppo.2019.343info:eu-repo/semantics/altIdentifier/url/https://www.researchinpsychotherapy.org/index.php/rpsy/article/view/343info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:24:06Zoai:ri.conicet.gov.ar:11336/131198instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:24:06.492CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Dysfunctional personality traits: Relationship with five factor model, adaptation and symptomatology in a community sample from Buenos Aires
title Dysfunctional personality traits: Relationship with five factor model, adaptation and symptomatology in a community sample from Buenos Aires
spellingShingle Dysfunctional personality traits: Relationship with five factor model, adaptation and symptomatology in a community sample from Buenos Aires
Stover, Juliana Beatriz
DYSFUNCTIONAL TRAITS
FIVE FACTOR MODEL
PERSONALITY
title_short Dysfunctional personality traits: Relationship with five factor model, adaptation and symptomatology in a community sample from Buenos Aires
title_full Dysfunctional personality traits: Relationship with five factor model, adaptation and symptomatology in a community sample from Buenos Aires
title_fullStr Dysfunctional personality traits: Relationship with five factor model, adaptation and symptomatology in a community sample from Buenos Aires
title_full_unstemmed Dysfunctional personality traits: Relationship with five factor model, adaptation and symptomatology in a community sample from Buenos Aires
title_sort Dysfunctional personality traits: Relationship with five factor model, adaptation and symptomatology in a community sample from Buenos Aires
dc.creator.none.fl_str_mv Stover, Juliana Beatriz
Castro Solano, Alejandro
Fernandez Liporace, Maria Mercedes
author Stover, Juliana Beatriz
author_facet Stover, Juliana Beatriz
Castro Solano, Alejandro
Fernandez Liporace, Maria Mercedes
author_role author
author2 Castro Solano, Alejandro
Fernandez Liporace, Maria Mercedes
author2_role author
author
dc.subject.none.fl_str_mv DYSFUNCTIONAL TRAITS
FIVE FACTOR MODEL
PERSONALITY
topic DYSFUNCTIONAL TRAITS
FIVE FACTOR MODEL
PERSONALITY
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.1
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv The paper introduces an analysis of the dimensional maladaptive personality traits model stated in the section III of Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5), conducted on a community sample composed of 906 adults from Buenos Aires, Argentina. Data were gathered using a socio-demographic survey as well as the Personality Inventory for DSM-5 (PID-5), the Big Five Inventory (BFI), the Symptom Check List 90-R (SCL-90-R), and the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0). A joint exploratory factor analysis was carried out including the PID-5’s 25 facets along with BFI’s 5 factors as input variables. Findings showed a 5-factor structure mostly coincident with DSM-5’s hypotheses as well as with previous research. Besides, correlations calculated between PID-5 and BFI scores behaved according to theoretical hypotheses. By means of a two-stage cluster analysis which used WHODAS 2.0 score and the Global Severity Index index from SCL-90-R as segmentation criteria, two groups were differentiated: The High-Adaptation/Low-Symptomatology group vs the Low- Adaptation/High-Symptomatology one. The second group obtained significantly higher means in the five domains, and in 24 of the 25 facets of PID-5.
Fil: Stover, Juliana Beatriz. Universidad de Buenos Aires. Facultad de Psicología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Castro Solano, Alejandro. Universidad de Palermo. Facultad de Ciencias Sociales. Departamento de Psicología. Centro de Investigación y Posgrados; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Fernandez Liporace, Maria Mercedes. Universidad de Buenos Aires. Facultad de Psicología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description The paper introduces an analysis of the dimensional maladaptive personality traits model stated in the section III of Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5), conducted on a community sample composed of 906 adults from Buenos Aires, Argentina. Data were gathered using a socio-demographic survey as well as the Personality Inventory for DSM-5 (PID-5), the Big Five Inventory (BFI), the Symptom Check List 90-R (SCL-90-R), and the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0). A joint exploratory factor analysis was carried out including the PID-5’s 25 facets along with BFI’s 5 factors as input variables. Findings showed a 5-factor structure mostly coincident with DSM-5’s hypotheses as well as with previous research. Besides, correlations calculated between PID-5 and BFI scores behaved according to theoretical hypotheses. By means of a two-stage cluster analysis which used WHODAS 2.0 score and the Global Severity Index index from SCL-90-R as segmentation criteria, two groups were differentiated: The High-Adaptation/Low-Symptomatology group vs the Low- Adaptation/High-Symptomatology one. The second group obtained significantly higher means in the five domains, and in 24 of the 25 facets of PID-5.
publishDate 2019
dc.date.none.fl_str_mv 2019-07-30
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/131198
Stover, Juliana Beatriz; Castro Solano, Alejandro; Fernandez Liporace, Maria Mercedes; Dysfunctional personality traits: Relationship with five factor model, adaptation and symptomatology in a community sample from Buenos Aires; PagePress Publications; Research in Psychotherapy: Psychopathology, Process and Outcome; 22; 2; 30-7-2019; 281-291
2239-8031
CONICET Digital
CONICET
url http://hdl.handle.net/11336/131198
identifier_str_mv Stover, Juliana Beatriz; Castro Solano, Alejandro; Fernandez Liporace, Maria Mercedes; Dysfunctional personality traits: Relationship with five factor model, adaptation and symptomatology in a community sample from Buenos Aires; PagePress Publications; Research in Psychotherapy: Psychopathology, Process and Outcome; 22; 2; 30-7-2019; 281-291
2239-8031
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.4081/ripppo.2019.343
info:eu-repo/semantics/altIdentifier/url/https://www.researchinpsychotherapy.org/index.php/rpsy/article/view/343
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv PagePress Publications
publisher.none.fl_str_mv PagePress Publications
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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