Identity in schizophrenia: a study of trait self-knowledge.

Psychiatry Res

University of Liege, Department of Psychology: Cognition and Behavior, Unit of Cognitive and Behavioural Clinical Psychology, Boulevard du Rectorat, 5, (B33) 4000 Liege, Belgium. Electronic address:

Published: October 2013

Identity results from interlock of two systems which are a set of abstracted representations about oneself and a phenomenological self. Literature highlights identity disturbance in schizophrenia that affects each of both systems. In the same vein, the present study investigates the stability and the quality of traits self-knowledge, a component of abstracted representations of self, in schizophrenia patients. Sixty-eight patients with schizophrenia and 68 healthy control subjects completed a short version of a personality scale (LABEL). This scale is composed of two versions (A and B), each comprising 50 adjectives that correspond to synonymous adjectives in the alternate list. Participants indicated how these adjectives described themselves and completed both versions of the scale on two separate occasions, one month apart. The findings showed that schizophrenic patients presented an unstable identity and change in identity quality compared with healthy subjects. However, this identity disturbance was weaker than expected. These results are discussed in a part of autobiographical memory disturbances in schizophrenia, illness duration and the decompensation stage.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.psychres.2013.04.002DOI Listing

Publication Analysis

Top Keywords

abstracted representations
8
identity disturbance
8
identity
6
identity schizophrenia
4
schizophrenia study
4
study trait
4
trait self-knowledge
4
self-knowledge identity
4
identity interlock
4
interlock systems
4

Similar Publications

In the prevailing medical pluralism of contemporary society, alternative and complementary medicine occupy a relevant place, comprising a heterogeneous group of practices with different values depending on tradition and social acceptance. Their scarce regulation and growing use, facilitated by promotion through social networks and distrust of the dominant biomedical model, have generated interest among medical organizations and health authorities in their use and consequences. Appreciations vary from outright rejection to interest in its adoption by public health systems as part of their services.

View Article and Find Full Text PDF

The Representation of Orientation Semantics in Visual Sensory Memory.

Behav Sci (Basel)

December 2024

Department of Psychology, College of Education, Zhejiang University of Technology, Hangzhou 310028, China.

Visual sensory memory constructs representations of the physical information of visual objects. However, few studies have investigated whether abstract information, such as semantic information, is also involved in these representations. This study utilized a masking technique combined with the partial report paradigm to examine whether visual sensory memory representation contains semantic information.

View Article and Find Full Text PDF

Background: The aging global population and the rising prevalence of chronic disease and multimorbidity have strained health care systems, driving the need for expanded health care resources. Transitioning to home-based care (HBC) may offer a sustainable solution, supported by technological innovations such as Internet of Medical Things (IoMT) platforms. However, the full potential of IoMT platforms to streamline health care delivery is often limited by interoperability challenges that hinder communication and pose risks to patient safety.

View Article and Find Full Text PDF

Looking at the world often involves not just seeing things, but feeling things. Modern feedforward machine vision systems that learn to perceive the world in the absence of active physiology, deliberative thought, or any form of feedback that resembles human affective experience offer tools to demystify the relationship between seeing and feeling, and to assess how much of visually evoked affective experiences may be a straightforward function of representation learning over natural image statistics. In this work, we deploy a diverse sample of 180 state-of-the-art deep neural network models trained only on canonical computer vision tasks to predict human ratings of arousal, valence, and beauty for images from multiple categories (objects, faces, landscapes, art) across two datasets.

View Article and Find Full Text PDF

[Gender and substance use : men exposed, women vulnerable].

Rev Med Suisse

January 2025

Unité des dépendances, Service de médecine de premier recours, Hôpitaux universitaires de Genève, 1211 Genève 14.

The use of psychoactive substances affects more men than women, with a prevalence that is 1.3 to 2 times higher, except for the use of sedatives. Men are also more affected by accidents, injuries, and acts of violence.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!