descriptionPublicationkeyboard_double_arrow_right Article 01 Apr 1999 English Publisher:Ovid Technologies (Wolters Kluwer Health)Journal:The Journal of Nervous & Mental Disease, volume 187, pages 224-228 (issn: 0022-3018,

Authors: LINGIARDI V; LONATI C; DELUCCHI F; FOSSATI, ANDREA; VANZULLI L; MAFFEI C.;

doi: 10.1097/00005053-199904000-00005

pmid: 10221555

handle: 20.500.11768/56518 , 11573/13882

Defense Mechanisms and Personality Disorders

- Summary
- Subjects
- Metrics

Abstract

The evaluation of defense mechanisms represents one of the most promising fields in the psychodynamic-oriented empirical research on personality disorders (PDs). This study examines the association between DSM-IV PDs and defense mechanisms. We evaluated a sample of 50 adult outpatients seeking personality assessment and psychotherapeutic treatment. PDs have been assessed using the Structured Clinical Interview for DSM-IV Personality Disorder, version 2.0. Defense mechanisms have been evaluated by a group of trained clinical psychologists and psychiatrists (interrater reliability from .61 to .95) using Perry's Defense Mechanism Rating Scale. Our results support the hypothesis that some defense mechanisms underlie PDs and that defenses call for further attention as we assess PDs.

Related Organizations

University of Milan
Italy
Roma Tre University
Italy
Sapienza University of Rome
Italy
Vita-Salute San Raffaele University
Italy

Keywords

Adult, Male, Psychiatric Status Rating Scales, Patient Dropouts, Personality Inventory, Mental Disorders, Reproducibility of Results, Comorbidity, Personality Disorders, Psychotherapy, defense mechanisms; personality disorders; psychodynamic-oriented empirical research, Terminology as Topic, Ambulatory Care, Humans, Female, Defense Mechanisms

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	53
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average