Details der Publikation - Different personality profiles in patients with cluster headache: a data-driven approach

Different personality profiles in patients with cluster headache: a data-driven approach

Introduction Cluster headache (CH) is usually comorbid to mood spectrum disorders, but the psychopathological aspects are poorly explored. We aimed at identifying discrete profiles of personality traits and their association with clinical features. Methods Based on the personality scales of the Millon Clinical Multiaxial Inventory-III, principal component analysis (PCA) identified psychological patterns of functioning of 56 CH patients. PCA outcomes were used for hierarchical cluster analysis (HCA) for sub-groups classification. Results Eighty-seven percent of patients had personality dysfunctions. PCA found two bipolar patterns: (i) negativistic, sadic-aggressive, borderline, and compulsive traits were distinctive of the psychological dysregulation (PD) dimension, and (ii) narcissistic, histrionic, avoidant, and schizoid traits loaded under the social engagement (SE) component. PD was associated with disease duration and psychopathology. SE was related to educational level and young age. HCA found three groups of patients, and the one with high PD and low SE had the worst psychological profile. Conclusions Personality disorders are common in CH. Our data-driven approach revealed distinct personality patterns which can appear differently among patients. The worst combination arguing against mental health is low SE and high PD. Linking this information with medical history may help clinicians to identify tailored-based therapeutic interventions for CH patients..

Medienart:	E-Artikel

Erscheinungsjahr:	2023
Erschienen:	2023

Enthalten in:	Zur Gesamtaufnahme - volume:44
Enthalten in:	Neurological sciences - 44(2023), 8 vom: 21. März, Seite 2853-2861

Sprache:	Englisch

Beteiligte Personen:	Telesca, Alessandra [VerfasserIn] Proietti Cecchini, Alberto [VerfasserIn] Leone, Massimo [VerfasserIn] Piacentini, Sylvie [VerfasserIn] Usai, Susanna [VerfasserIn] Grazzi, Licia [VerfasserIn] Consonni, Monica [VerfasserIn]

Links:	Volltext [lizenzpflichtig]

BKL:	44.90$jNeurologie
Themen:	Cluster headache Pain Personality Psychological functioning Psychopathology

Anmerkungen:	© Fondazione Società Italiana di Neurologia 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

doi:	10.1007/s10072-023-06713-z

funding:
Förderinstitution / Projekttitel:

PPN (Katalog-ID):	OLC214444496X

Internformat


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520			\|a Introduction Cluster headache (CH) is usually comorbid to mood spectrum disorders, but the psychopathological aspects are poorly explored. We aimed at identifying discrete profiles of personality traits and their association with clinical features. Methods Based on the personality scales of the Millon Clinical Multiaxial Inventory-III, principal component analysis (PCA) identified psychological patterns of functioning of 56 CH patients. PCA outcomes were used for hierarchical cluster analysis (HCA) for sub-groups classification. Results Eighty-seven percent of patients had personality dysfunctions. PCA found two bipolar patterns: (i) negativistic, sadic-aggressive, borderline, and compulsive traits were distinctive of the psychological dysregulation (PD) dimension, and (ii) narcissistic, histrionic, avoidant, and schizoid traits loaded under the social engagement (SE) component. PD was associated with disease duration and psychopathology. SE was related to educational level and young age. HCA found three groups of patients, and the one with high PD and low SE had the worst psychological profile. Conclusions Personality disorders are common in CH. Our data-driven approach revealed distinct personality patterns which can appear differently among patients. The worst combination arguing against mental health is low SE and high PD. Linking this information with medical history may help clinicians to identify tailored-based therapeutic interventions for CH patients.
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Different personality profiles in patients with cluster headache: a data-driven approach

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