scholarly journals The Utility of ICD-11 and DSM-5 Traits for Differentiating Patients With Personality Disorders From Other Clinical Groups

2021 ◽  
Vol 12 ◽  
Author(s):  
Rute Pires ◽  
Joana Henriques-Calado ◽  
Ana Sousa Ferreira ◽  
Bo Bach ◽  
Marco Paulino ◽  
...  

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.

2020 ◽  
Author(s):  
Bo Bach ◽  
André Kerber ◽  
Anton Aluja ◽  
Tim Bastiaens ◽  
Jared W Keeley ◽  
...  

Introduction: The DSM-5 Alternative Model of Personality Disorders (AMPD) and the ICD-11 Classification of Personality Disorders (PD) are largely commensurate, and when combined, they delineate six trait domains: Negative Affectivity, Detachment, Antagonism/Dissociality, Disinhibition, Anankastia, and Psychoticism. Objective: The present study evaluated the international validity of abrief 36-item patient-report measure that portrays all six domains simultaneously including 18 primary subfacets. Methods: We developed and employed a modified version of the Personality Inventory for DSM-5 – Brief Form Plus (PID5BF+). A total number of 16,327 individuals were included, of which 2,347 were patients. The expected 6-factor structure of facets was initially investigated insamples from Denmark (n = 584), Germany (n = 1,271), and the U.S. (n = 605), and was subsequently replicated in both patient- and community samples from Italy, France, Switzerland, Belgium, Norway, Portugal, Spain, Poland, Czech Republic, U.S., and Brazil. Associations with interview-rated DSM-5 PD categories were also investigated. Results: Findings generally supported the empirical soundness andinternational robustness of the six domains including meaningful associations with familiar interviewratedPD types. Conclusions: The modified PID5BF+ may be employed internationally by clinicians and researchers for brief and reliable assessment of the six combined DSM-5 and ICD-11 domains, including 18 primary subfacets. This six-domain framework may inform a future nosology for DSM-5.1 that is more reasonably aligned with the authoritative ICD-11 codes than the current DSM-5 AMPD model. The 36-item modified PID5BF+ scoring key is provided in supplemental Appendix A.


Author(s):  
Timo D. Vloet ◽  
Marcel Romanos

Zusammenfassung. Hintergrund: Nach 12 Jahren Entwicklung wird die 11. Version der International Classification of Diseases (ICD-11) von der Weltgesundheitsorganisation (WHO) im Januar 2022 in Kraft treten. Methodik: Im Rahmen eines selektiven Übersichtsartikels werden die Veränderungen im Hinblick auf die Klassifikation von Angststörungen von der ICD-10 zur ICD-11 zusammenfassend dargestellt. Ergebnis: Die diagnostischen Kriterien der generalisierten Angststörung, Agoraphobie und spezifischen Phobien werden angepasst. Die ICD-11 wird auf Basis einer Lebenszeitachse neu organisiert, sodass die kindesaltersspezifischen Kategorien der ICD-10 aufgelöst werden. Die Trennungsangststörung und der selektive Mutismus werden damit den „regulären“ Angststörungen zugeordnet und können zukünftig auch im Erwachsenenalter diagnostiziert werden. Neu ist ebenso, dass verschiedene Symptomdimensionen der Angst ohne kategoriale Diagnose verschlüsselt werden können. Diskussion: Die Veränderungen im Bereich der Angsterkrankungen umfassen verschiedene Aspekte und sind in der Gesamtschau nicht unerheblich. Positiv zu bewerten ist die Einführung einer Lebenszeitachse und Parallelisierung mit dem Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Schlussfolgerungen: Die entwicklungsbezogene Neuorganisation in der ICD-11 wird auch eine verstärkte längsschnittliche Betrachtung von Angststörungen in der Klinik sowie Forschung zur Folge haben. Damit rückt insbesondere die Präventionsforschung weiter in den Fokus.


Author(s):  
Thomas A. Widiger ◽  
Maryanne Edmundson

The Diagnostic and Statistical Manual of Mental Disorders, Third Edition (DSM-III) is often said to have provided a significant paradigm shift in how psychopathology is diagnosed. The authors of DSM-5 have the empirical support and the opportunity to lead the field of psychiatry to a comparably bold new future in diagnosis and classification. The purpose of this chapter is to address the validity of the categorical and dimensional models for the classification and diagnosis of psychopathology. Considered in particular will be research concerning substance use disorders, mood disorders, and personality disorders. Limitations and concerns with respect to a dimensional classification of psychopathology are also considered. The chapter concludes with a recommendation for a conversion to a more quantitative, dimensional classification of psychopathology.


2017 ◽  
Vol 52 (5) ◽  
pp. 425-434 ◽  
Author(s):  
Bo Bach ◽  
Martin Sellbom ◽  
Mathias Skjernov ◽  
Erik Simonsen

Objective: The five personality disorder trait domains in the proposed International Classification of Diseases, 11th edition and the Diagnostic and Statistical Manual of Mental Disorders, 5th edition are comparable in terms of Negative Affectivity, Detachment, Antagonism/Dissociality and Disinhibition. However, the International Classification of Diseases, 11th edition model includes a separate domain of Anankastia, whereas the Diagnostic and Statistical Manual of Mental Disorders, 5th edition model includes an additional domain of Psychoticism. This study examined associations of International Classification of Diseases, 11th edition and Diagnostic and Statistical Manual of Mental Disorders, 5th edition trait domains, simultaneously, with categorical personality disorders. Method: Psychiatric outpatients ( N = 226) were administered the Structured Clinical Interview for DSM-IV Axis II Personality Disorders Interview and the Personality Inventory for DSM-5. International Classification of Diseases, 11th edition and Diagnostic and Statistical Manual of Mental Disorders, 5th edition trait domain scores were obtained using pertinent scoring algorithms for the Personality Inventory for DSM-5. Associations between categorical personality disorders and trait domains were examined using correlation and multiple regression analyses. Results: Both the International Classification of Diseases, 11th edition and the Diagnostic and Statistical Manual of Mental Disorders, 5th edition domain models showed relevant continuity with categorical personality disorders and captured a substantial amount of their information. As expected, the International Classification of Diseases, 11th edition model was superior in capturing obsessive–compulsive personality disorder, whereas the Diagnostic and Statistical Manual of Mental Disorders, 5th edition model was superior in capturing schizotypal personality disorder. Conclusion: These preliminary findings suggest that little information is ‘lost’ in a transition to trait domain models and potentially adds to narrowing the gap between Diagnostic and Statistical Manual of Mental Disorders, 5th edition and the proposed International Classification of Diseases, 11th edition model. Accordingly, the International Classification of Diseases, 11th edition and Diagnostic and Statistical Manual of Mental Disorders, 5th edition domain models may be used to delineate one another as well as features of familiar categorical personality disorder types. A preliminary category-to-domain ‘cross walk’ is provided in the article.


Author(s):  
Andreas Heinz ◽  
Eva Friedel ◽  
Hans-Peter Krüger ◽  
Carolin Wackerhagen
Keyword(s):  

Author(s):  
Thomas A. Widiger ◽  
Maryanne Edmundson

The Diagnostic and Statistical Manual of Mental Disorders, Third Edition (DSM-III) is often said to have provided a significant paradigm shift in how psychopathology is diagnosed. The authors of DSM-5 have the empirical support and the opportunity to lead the field of psychiatry to a comparably bold new future in diagnosis and classification. The purpose of this chapter is to address the validity of the categorical and dimensional models for the classification and diagnosis of psychopathology. Considered in particular will be research concerning substance use disorders, mood disorders, and personality disorders. Limitations and concerns with respect to a dimensional classification of psychopathology are also considered. The chapter concludes with a recommendation for a conversion to a more quantitative, dimensional classification of psychopathology.


2013 ◽  
Vol 7 (1) ◽  
pp. 27 ◽  
Author(s):  
Klaus Schmeck ◽  
Susanne Schlüter-Müller ◽  
Pamela A Foelsch ◽  
Stephan Doering
Keyword(s):  

2021 ◽  
Vol 12 ◽  
Author(s):  
Maximilian Meyer ◽  
Isabel Sattler ◽  
Hanna Schilling ◽  
Undine E. Lang ◽  
André Schmidt ◽  
...  

Background and Aims: Exercise addiction has not yet been designated as an addictive disorder in the DSM-5 due to a lack of detailed research. In particular, associations with other psychiatric diagnoses have received little attention. In this study, individuals with a possible exercise addiction are clinically assessed, in order to establish a profile of co-occurring psychiatric disorders in individuals with exercise addiction.Methods: One hundred and fifty-six individuals who reported exercising more than 10 h a week, and continued to do so despite illness or injury, were recruited for the study. Those who met the cut-off of the Exercise Dependence Scale (n = 32) were invited to participate in a screening with the Structured Clinical Interview for DSM-5 (SCID-5-CV) and personality disorders (SCID-5-PD). Additionally, an interview based on the DSM-5 criteria of non-substance-related addictive disorders was conducted to explore the severity of exercise addiction symptoms.Results: 75% of participants fulfilled the criteria for at least one psychiatric disorder. Depressive disorders (56.3%), personality disorders (46.9%) and obsessive-compulsive disorders (31.3%) were the most common disorders. Moreover, there was a significant positive correlation between the number of psychiatric disorders and the severity of exercise addiction (r = 0.549, p = 0.002).Discussion: The results showed a variety of mental disorders in individuals with exercise addiction and a correlation between the co-occurrence of mental disorders and the severity of exercise addiction. Exercise addiction differs from other addictive und substance use disorders, as obsessive-compulsive (Cluster C), rather than impulsive (Cluster B) personality traits were most commonly identified.Conclusions: Our results underscore the importance of clinical diagnostics, and indicate that treatment options for individuals with exercise addiction are required. However, the natural history and specific challenges of exercise addiction must be studied in more detail.


2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1 ◽  
Author(s):  
N. Sartorius

The International classification of diseases - which includes a chapter dealing with mental disorders - will be revised and its 11th Revision will be published in 2014.A special unit within the World Health Organization coordinates the process of revision and the numerous tasks that have to be undertaken to ensure full participation of the WHO member states in the process of revision as well as the consideration of evidence on which the classification is to be based.The Department of Mental Health and Substance Abuse Control of the WHO has created a special advisory group that should help it in considering the evidence and proposals made by scientists, governments, organizations and interested individuals and in producing the draft of the classification of mental disorders for inclusion into the 11th Revision of the ICD: This group has, in turn, developed several structures that will deal with the tasks that will arise in the revision process. At the same time the American Psychiatric Association has created a DSM 5 Task Force that should develop proposals for the 5th Revision of the Diagnostic and Statistical Manual that will be published in 2012.The lecture will describe the processes and structures that have been put in place by the two organizations and refer to the issues that have arisen or are likely to arise in the course of work that should lead to the proposals for the ICD 11 and the DSM 5.


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