Analysis of personality disorder profiles obtained by five-factor personality model

Background/Aim. In spite of the growing body of evidence in the field of personality disorders, these disorders still retain the lowest diagnostic reliability of any major category of mental disorders. The aim of this study was to investigate the differences of personality profiles in patients diagn...

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Main Authors: Pešić Danilo, Adžić Tara, Vuković Olivera, Kalanj Marko, Lečić-Toševski Dušica
Format: Article
Language:English
Published: Military Health Department, Ministry of Defance, Serbia 2020-01-01
Series:Vojnosanitetski Pregled
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/0042-8450/2020/0042-84501800175P.pdf
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spelling doaj-c10da1d24b574520a23a022649318c262021-02-05T08:31:26ZengMilitary Health Department, Ministry of Defance, SerbiaVojnosanitetski Pregled0042-84502406-07202020-01-0177995095310.2298/VSP180424175P0042-84501800175PAnalysis of personality disorder profiles obtained by five-factor personality modelPešić Danilo0Adžić Tara1Vuković Olivera2Kalanj Marko3Lečić-Toševski Dušica4Institute of Mental Health, Belgrade, SerbiaSingidunum University, Faculty of Media and Communications, Belgrade, SerbiaInstitute of Mental Health, Belgrade, Serbia + University of Belgrade, Faculty of Medicine, Belgrade SerbiaInstitute of Mental Health, Belgrade, SerbiaInstitute of Mental Health, Belgrade, Serbia + University of Belgrade, Faculty of Medicine, Belgrade Serbia + Serbian Academy of Sciences and Arts, Belgrade, SerbiaBackground/Aim. In spite of the growing body of evidence in the field of personality disorders, these disorders still retain the lowest diagnostic reliability of any major category of mental disorders. The aim of this study was to investigate the differences of personality profiles in patients diagnosed with personality disorder in comparison with the group of healthy control subjects, as well as to establish to what extent the five-factor personality model domains determine the specific clusters of personality disorders. Methods. The study group comprised 97 patients diagnosed as personality disorders (according to the Diagnostic and Statistical Manual of Mental Disorders – DSM-IV criteria), aged between 18 and 65 years [mean = 35.78 years, standard deviation (SD) = 13.72 years], 67% were female. Control group included 58 healthy subjects (student population) aged between 20 to 35 years (mean = 22.48 years, SD = 2.56 years), 56% were female. The assessment was carried out by the new version of the NEO Personality Inventory-Revised (NEO-PIR), form S, and the Structured Clinical Interview (SCID II) for DSM-IV disorders. Results. The three clusters were found by the use of regression analysis: cluster A – eccentrics (low scores in agreeableness), cluster B – dramatics (high score in extroversion, low score in agreeableness, and cluster C – anxious (low score in extroversion). The findings showed that the high level of neuroticism was a non-specific predictor of all three clusters, while dimension openness to experience had no predictive power for any of the three clusters. Conclusion. Our findings support the meta-analysis which suggests consistently high level of neuroticism and low level of agreeableness in most personality disorders. The study showed that it is possible to conceptualize personality disorders by using five-factor personality model of normal personality. Integrating the psychiatric classification with the dimensional model of general personality structure could enable the uncovering of essential parameters for setting the diagnosis.http://www.doiserbia.nb.rs/img/doi/0042-8450/2020/0042-84501800175P.pdfpersonality disorderspersonality assessmentneuroticismsurveys and questionnaires
collection DOAJ
language English
format Article
sources DOAJ
author Pešić Danilo
Adžić Tara
Vuković Olivera
Kalanj Marko
Lečić-Toševski Dušica
spellingShingle Pešić Danilo
Adžić Tara
Vuković Olivera
Kalanj Marko
Lečić-Toševski Dušica
Analysis of personality disorder profiles obtained by five-factor personality model
Vojnosanitetski Pregled
personality disorders
personality assessment
neuroticism
surveys and questionnaires
author_facet Pešić Danilo
Adžić Tara
Vuković Olivera
Kalanj Marko
Lečić-Toševski Dušica
author_sort Pešić Danilo
title Analysis of personality disorder profiles obtained by five-factor personality model
title_short Analysis of personality disorder profiles obtained by five-factor personality model
title_full Analysis of personality disorder profiles obtained by five-factor personality model
title_fullStr Analysis of personality disorder profiles obtained by five-factor personality model
title_full_unstemmed Analysis of personality disorder profiles obtained by five-factor personality model
title_sort analysis of personality disorder profiles obtained by five-factor personality model
publisher Military Health Department, Ministry of Defance, Serbia
series Vojnosanitetski Pregled
issn 0042-8450
2406-0720
publishDate 2020-01-01
description Background/Aim. In spite of the growing body of evidence in the field of personality disorders, these disorders still retain the lowest diagnostic reliability of any major category of mental disorders. The aim of this study was to investigate the differences of personality profiles in patients diagnosed with personality disorder in comparison with the group of healthy control subjects, as well as to establish to what extent the five-factor personality model domains determine the specific clusters of personality disorders. Methods. The study group comprised 97 patients diagnosed as personality disorders (according to the Diagnostic and Statistical Manual of Mental Disorders – DSM-IV criteria), aged between 18 and 65 years [mean = 35.78 years, standard deviation (SD) = 13.72 years], 67% were female. Control group included 58 healthy subjects (student population) aged between 20 to 35 years (mean = 22.48 years, SD = 2.56 years), 56% were female. The assessment was carried out by the new version of the NEO Personality Inventory-Revised (NEO-PIR), form S, and the Structured Clinical Interview (SCID II) for DSM-IV disorders. Results. The three clusters were found by the use of regression analysis: cluster A – eccentrics (low scores in agreeableness), cluster B – dramatics (high score in extroversion, low score in agreeableness, and cluster C – anxious (low score in extroversion). The findings showed that the high level of neuroticism was a non-specific predictor of all three clusters, while dimension openness to experience had no predictive power for any of the three clusters. Conclusion. Our findings support the meta-analysis which suggests consistently high level of neuroticism and low level of agreeableness in most personality disorders. The study showed that it is possible to conceptualize personality disorders by using five-factor personality model of normal personality. Integrating the psychiatric classification with the dimensional model of general personality structure could enable the uncovering of essential parameters for setting the diagnosis.
topic personality disorders
personality assessment
neuroticism
surveys and questionnaires
url http://www.doiserbia.nb.rs/img/doi/0042-8450/2020/0042-84501800175P.pdf
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