Diagnostic criteria for narcissistic personality disorder primarily focus on grandiosity and significance. In psychotherapeutic work, it is important to distinguish two subtypes of pathological narcissism: narcissistic grandiosity and narcissistic vulnerability. One of the manifestations of narcissistic traits is unstable or unformed self-esteem, manifested in attempts to conform to ideals. A part of modern society perceives the female body as an object that “needs to be looked at”. Self-objectification refers to a learned pattern of self-assessment of the importance of one’s body and appearance compared to other aspects of the self. Self-observation and comparison of oneself with others is one of the manifestations of self-objectification. With acts of auto aggression, the body becomes a tool or a means to solve psychological problems. In order for this to become possible, the ability to objectify your body “to look at it from the outside” plays an important role.

Analysis of the relationship between non-suicidal self-injurious behavior and narcissistic personality traits in young women with depression and young women without a psychiatric diagnosis.

Тhe study included 49 women divided into two groups. The first group included 24 patients with depression undergoing inpatient treatment (mean age 18.4). The second group included 25 healthy subjects (mean age 18 years). The methods: The answer to the question “Sometimes I purposely injure myself” was used as an indicator of self-harm (NSSI) (five-point Likert scale); “Ich structure test” (ISTA); “Physical Appearance Comparison Scale-Revised” (PACS-R).

In the clinical group, a significant association of severity of NSSI with indicators of “deficit narcissism” was revealed (Spearman r=,534*). Correlations were found between the severity of NSSI and PACS-R (r=,344**). In the clinical group, there was no connection between “Comparison with others” and narcissistic traits. In a group of healthy subjects, significant associations of NSSI severity with “destructive narcissism” (,572**) and PACS-R (,576**) were revealed. In the clinical group, the severity of NSSI is associated with a more serious pathology - the lack of formation of “normal” narcissism, and in the healthy group it is more likely to be deformed narcissism. Self-objectification and comparison of oneself with others in the clinical group is not associated with manifestations of narcissistic traits, such connections are demonstrated in the group of healthy young women.

It is shown that in the clinical group of depressed young women, the severity of self-harming behavior is associated with “deficit narcissism”, and in healthy young women, first of all, with “destructive narcissism” with an increased need to compare themselves with others.

None Declared

Schizophrenia is affecting multiple functions such as cognition, perception, emotion, and social behaviors, and it has also been shown to influence artistic works created by patients. Among the deviations observed in the art works are distinct characteristics like delusional themes, disordered shorter lines, and unique creativity. Such features, along with altered pictorial perceptions and possibly altered motoric function, suggest that it might be possible to differentiate art made by schizophrenic patients from that of healthy individuals. Given the shortcomings of existing diagnostic methods being very long and with a 25% error rate, we proposed a novel neural network model that leverages these artistic markers for classification to support diagnosis.

To develop and train a neural network model leveraging unique artistic markers for the classification and support of diagnosing schizophrenia.

Our study involved 764 participants, 45% diagnosed with schizophrenia, while the others were either healthy or diagnosed with other mental disorders. The average age of the participants was 38.25 years (SD=13.43), and 43.88% of the participants were females. All participants were instructed to draw eight drawings of human faces. These drawings were digitized and categorized based on participants’ schizophrenia status to form the initial training dataset for our model. This data was processed using Python and converted into a NumPy array, which served as input for our model developed using the Keras library. The structure of the model is presented (Image 1).

We used area under curve (AUC), specificity, and sensitivity as key evaluation metrics for our model. The model achieved an AUC of 0.90 on a test dataset that was new to the model and was not used in the preceding training phase. It exhibited a sensitivity of 0.84 and a specificity of 0.85, indicating its capacity to identify schizophrenic and non-schizophrenic individuals, respectively (Image 2).

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The application of machine learning and AI tools to analyze art created by schizophrenia patients, can offer a promising methodology for exploring the differences between schizophrenic and healthy individuals, as well as a possible support for current diagnostic methods. This approach has the potential to provide an additional fast and more accurate diagnosis, enhancing individualized patient care. Future research will focus on refining and validating the model across diverse populations and various art forms.

None Declared

Flexible work arrangements promote not only acceptable and convenient work modes; for many professionals flexible work leads to increase in workload and in working time (Rubery et al., 2016; Thompson et al., 2015). As the result, lack of recreation time could be named as a direct consequence of high workload (Pang, 2017). The key problem is the investigation of attitudes towards recreation and recovery: are professionals more reactive or proactive in their recreation planning, and do they recover well?

The aim of the research: to reveal (1) typical types of recreation planning for professionals with high level of work flexibility and (2) recovery efficiency level.

The research was conducted in representatives of various professions, who work in flexible work arrangements (n=378). The diagnostic set included inventories for assessment of recreation planning type (Luzyanina, Kuznetsova, 2014) and recovery efficiency (Leonova, 2019).

Two types of recreation planning have been found: proactive (26% of respondents) and reactive (74%). For the reactive approach lack of targeted strategies of recreation planning has been found. Proactive approach is characterized by tracking signs of resources decrease and advance planning of work breaks. There are differences in recovery efficiency (p<0,001) in proactive and reactive professionals: non-efficient recovery is typical for the majority of professionals with the reactive type to recreation planning.

The detailed analysis of proactive/reactive approaches manifestations and peculiarities of recreation planning could help to predict not only the recovery level, but the mechanisms of advanced self-regulation, adequate to high work flexibility.

No significant relationships.