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Personality Factors and Depressive Configurations. An Exploratory Study in an Italian Clinical Sample

Introduction: This study focuses on the relationship between personality configurations and depressive experiences. More specifically, the aim of this study is to investigate the relationship between self-criticism and dependency and personality styles or disorders, exploring the association between...

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Autores principales: Straccamore, Francesca, Ruggi, Simona, Lingiardi, Vittorio, Zanardi, Raffaella, Vecchi, Sara, Oasi, Osmano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5334344/
https://www.ncbi.nlm.nih.gov/pubmed/28316575
http://dx.doi.org/10.3389/fpsyg.2017.00251
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author Straccamore, Francesca
Ruggi, Simona
Lingiardi, Vittorio
Zanardi, Raffaella
Vecchi, Sara
Oasi, Osmano
author_facet Straccamore, Francesca
Ruggi, Simona
Lingiardi, Vittorio
Zanardi, Raffaella
Vecchi, Sara
Oasi, Osmano
author_sort Straccamore, Francesca
collection PubMed
description Introduction: This study focuses on the relationship between personality configurations and depressive experiences. More specifically, the aim of this study is to investigate the relationship between self-criticism and dependency and personality styles or disorders, exploring the association between personality features and depressive symptoms. The two-configurations model of personality developed by Blatt (2004, 2008) is adopted as a reference point in sharing a valid framework and in understanding the results. Methods: Five instruments are administered to 51 participants with a diagnosis of depressive disorder, in accordance with DSM-IV-TR (American Psychiatric Association, 2000): Self-criticism and dependency dimensions of depression are measured with the Depressive Experiences Questionnaire (DEQ); self-reported depression is assessed with the Beck Depression Inventory-II (BDI-II); observer-rated depression is assessed with the Hamilton Depression Rating Scale (HDRS); personality is assessed with the Clinical Diagnostic Interview (CDI) and the Shedler Westen Assessment Procedure-200 (SWAP-200). Results: Only self-criticism, and not dependency, is associated with depressive symptoms. In addition, the SWAP Borderline PD Scale and the Dysphoric: Emotionally dysregulated Q-factor emerge as significant in predicting depression. Conclusions: Findings support the assumption that depressive personality configurations can enhance the vulnerability to developing depression. Theoretical and clinical implications of these results are discussed.
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spelling pubmed-53343442017-03-17 Personality Factors and Depressive Configurations. An Exploratory Study in an Italian Clinical Sample Straccamore, Francesca Ruggi, Simona Lingiardi, Vittorio Zanardi, Raffaella Vecchi, Sara Oasi, Osmano Front Psychol Psychology Introduction: This study focuses on the relationship between personality configurations and depressive experiences. More specifically, the aim of this study is to investigate the relationship between self-criticism and dependency and personality styles or disorders, exploring the association between personality features and depressive symptoms. The two-configurations model of personality developed by Blatt (2004, 2008) is adopted as a reference point in sharing a valid framework and in understanding the results. Methods: Five instruments are administered to 51 participants with a diagnosis of depressive disorder, in accordance with DSM-IV-TR (American Psychiatric Association, 2000): Self-criticism and dependency dimensions of depression are measured with the Depressive Experiences Questionnaire (DEQ); self-reported depression is assessed with the Beck Depression Inventory-II (BDI-II); observer-rated depression is assessed with the Hamilton Depression Rating Scale (HDRS); personality is assessed with the Clinical Diagnostic Interview (CDI) and the Shedler Westen Assessment Procedure-200 (SWAP-200). Results: Only self-criticism, and not dependency, is associated with depressive symptoms. In addition, the SWAP Borderline PD Scale and the Dysphoric: Emotionally dysregulated Q-factor emerge as significant in predicting depression. Conclusions: Findings support the assumption that depressive personality configurations can enhance the vulnerability to developing depression. Theoretical and clinical implications of these results are discussed. Frontiers Media S.A. 2017-03-03 /pmc/articles/PMC5334344/ /pubmed/28316575 http://dx.doi.org/10.3389/fpsyg.2017.00251 Text en Copyright © 2017 Straccamore, Ruggi, Lingiardi, Zanardi, Vecchi and Oasi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Straccamore, Francesca
Ruggi, Simona
Lingiardi, Vittorio
Zanardi, Raffaella
Vecchi, Sara
Oasi, Osmano
Personality Factors and Depressive Configurations. An Exploratory Study in an Italian Clinical Sample
title Personality Factors and Depressive Configurations. An Exploratory Study in an Italian Clinical Sample
title_full Personality Factors and Depressive Configurations. An Exploratory Study in an Italian Clinical Sample
title_fullStr Personality Factors and Depressive Configurations. An Exploratory Study in an Italian Clinical Sample
title_full_unstemmed Personality Factors and Depressive Configurations. An Exploratory Study in an Italian Clinical Sample
title_short Personality Factors and Depressive Configurations. An Exploratory Study in an Italian Clinical Sample
title_sort personality factors and depressive configurations. an exploratory study in an italian clinical sample
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5334344/
https://www.ncbi.nlm.nih.gov/pubmed/28316575
http://dx.doi.org/10.3389/fpsyg.2017.00251
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