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How are psychodynamic conflicts associated with personality functioning? A network analysis

Personality functioning and psychodynamic conflicts are central constructs in psychoanalytic theories of psychopathology as well as in many psychodynamic treatment models. Although there has been a longstanding conceptual discussion on how they relate to each other, empirical evidence on this questi...

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Autores principales: Vierl, Larissa, Von Bremen, Charlotte, Hagmayer, York, Benecke, Cord, Sell, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10155610/
https://www.ncbi.nlm.nih.gov/pubmed/37151325
http://dx.doi.org/10.3389/fpsyg.2023.1152150
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author Vierl, Larissa
Von Bremen, Charlotte
Hagmayer, York
Benecke, Cord
Sell, Christian
author_facet Vierl, Larissa
Von Bremen, Charlotte
Hagmayer, York
Benecke, Cord
Sell, Christian
author_sort Vierl, Larissa
collection PubMed
description Personality functioning and psychodynamic conflicts are central constructs in psychoanalytic theories of psychopathology as well as in many psychodynamic treatment models. Although there has been a longstanding conceptual discussion on how they relate to each other, empirical evidence on this question is still scarce. In this study, we explore the associations between psychodynamic conflicts and levels of structural integration (which can be used synonymously with personality functioning) by means of a partial correlation network analysis in a sample of N = 220 outpatients interviewed and rated according to Operationalized Psychodynamic Diagnosis (OPD-2). We examined network centrality, bridge centrality, clustering, and network stability. The network analysis resulted in separate clusters for levels of structural integration and conflicts, supporting the assumption of distinct psychodynamic constructs. The greatest association between the two clusters was found between the individuation vs. dependency conflict (C1) and the structural capacity to attach to internal objects. In general, C1 showed significantly greater connections with structural dimensions compared to the other five OPD conflicts included. C1 was also more central in the network compared to most other conflicts, whereas the structural dimensions did not differ in centrality. All structural dimensions were found to be strongly interconnected. C1 showed exclusively negative edges to the other conflicts, suggesting that a profound C1 decreases the probability of other psychodynamic conflicts. We discuss clinical as well as conceptual implications of our findings for psychodynamic diagnosis and treatment.
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spelling pubmed-101556102023-05-04 How are psychodynamic conflicts associated with personality functioning? A network analysis Vierl, Larissa Von Bremen, Charlotte Hagmayer, York Benecke, Cord Sell, Christian Front Psychol Psychology Personality functioning and psychodynamic conflicts are central constructs in psychoanalytic theories of psychopathology as well as in many psychodynamic treatment models. Although there has been a longstanding conceptual discussion on how they relate to each other, empirical evidence on this question is still scarce. In this study, we explore the associations between psychodynamic conflicts and levels of structural integration (which can be used synonymously with personality functioning) by means of a partial correlation network analysis in a sample of N = 220 outpatients interviewed and rated according to Operationalized Psychodynamic Diagnosis (OPD-2). We examined network centrality, bridge centrality, clustering, and network stability. The network analysis resulted in separate clusters for levels of structural integration and conflicts, supporting the assumption of distinct psychodynamic constructs. The greatest association between the two clusters was found between the individuation vs. dependency conflict (C1) and the structural capacity to attach to internal objects. In general, C1 showed significantly greater connections with structural dimensions compared to the other five OPD conflicts included. C1 was also more central in the network compared to most other conflicts, whereas the structural dimensions did not differ in centrality. All structural dimensions were found to be strongly interconnected. C1 showed exclusively negative edges to the other conflicts, suggesting that a profound C1 decreases the probability of other psychodynamic conflicts. We discuss clinical as well as conceptual implications of our findings for psychodynamic diagnosis and treatment. Frontiers Media S.A. 2023-04-19 /pmc/articles/PMC10155610/ /pubmed/37151325 http://dx.doi.org/10.3389/fpsyg.2023.1152150 Text en Copyright © 2023 Vierl, Von Bremen, Hagmayer, Benecke and Sell. https://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) and the copyright owner(s) 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
Vierl, Larissa
Von Bremen, Charlotte
Hagmayer, York
Benecke, Cord
Sell, Christian
How are psychodynamic conflicts associated with personality functioning? A network analysis
title How are psychodynamic conflicts associated with personality functioning? A network analysis
title_full How are psychodynamic conflicts associated with personality functioning? A network analysis
title_fullStr How are psychodynamic conflicts associated with personality functioning? A network analysis
title_full_unstemmed How are psychodynamic conflicts associated with personality functioning? A network analysis
title_short How are psychodynamic conflicts associated with personality functioning? A network analysis
title_sort how are psychodynamic conflicts associated with personality functioning? a network analysis
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10155610/
https://www.ncbi.nlm.nih.gov/pubmed/37151325
http://dx.doi.org/10.3389/fpsyg.2023.1152150
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