Affiliation:
1. North-western State Medical University named after I.I. Mechnikov;
St. Petersburg Psychiatric Hospital No 3 named after I.I. Skvortsov—Stepanov
2. Saint Petersburg State University;
V.M. Bekhterev National Research Medical Center for Psychiatry and Neurology
3. St. Petersburg Psychiatric Hospital No 3 named after I.I. Skvortsov—Stepanov;
Saint Petersburg State University
4. Saint Petersburg State University
Abstract
Metacognitive functioning is the basis of the individual’s ideas about his ability to build relationships with other people and manage own’s social behavior. Deterioration of metacognitive functioning in schizophrenia patients, presumably due to neurocognitive deficiency and other manifestations of the disease, probably contributes to disruptions of social functioning and quality of life. The aim of this study was to assess the metacognitive functioning (MF) of patients with paranoid schizophrenia, operationalized as a cognitive ability to understand their own and other people’s emotions, and to explore the connection between social functioning (SF) and quality of life (QOL), as well as to establish logical relationships between MF with clinical indicators and socio-demographic characteristics of patients. In a sample of 300 patients with paranoid schizophrenia (age from 18 to 50 years, disease duration of at least 5 years, a total PANSS score of less than 120), MF was assessed using the Lyusin emotional intelligence test (EmIn) and the subjective assessment of interpersonal relationships (SOMO) test. Cognitive deficit was verified using a standardized battery of a Brief Assessment of Cognition in Schizophrenia (BACS). The indicators obtained using the quality of life questionnaire for schizophrenia patients (QOL-SM) and the social functioning scale (PSP) were used to create an integrated indicator that comprehensively assesses SF and QOL of schizophrenia patients (Factor B). Reliable associations of this factor with indicators obtained using the Emin method (p<0.05), SOMO (p<0.001), the PSP scale, the QOL-SM questionnaire, the BACS and PANSS scales, and also with a number of clinical-dynamic and socio-demographic characteristics were established. Significant relationships between the parameters of MF, SF and QOL were obtained, and logical relationships between MF, neurocognitive deficiency and other clinical manifestations of schizophrenia were established.
Publisher
V.M. Bekhterev National Research Medical Center for Psychiatry and Neurology
Reference39 articles.
1. Duhnovskij S.V. Subjektivnaja ocenka mezhl ichnostnyh otnoshenij. Rukovodstvo po primeneniju. SPb.: OOO Izdatel’stvo «Rech’». 2006. (in Russ.).
2. Karjakina MV, Shmukler AB. Neurocognitive impairments in patients with schizophrenia and schizophrenia spectrum disorders: cluster analysis results. Obozreni epsihiatrii i medicinskoj psihologii im. V.M. Behtereva. 2020; 1:45-51. (in Russ.). https://doi.org/10.31363/2313-7053-2020-1-45-51
3. Lutova NB, Wied VD. Modern dilemma in the therapy of the schizophrenia: neurocognition and social cognition. Obozrenie psihiatrii i medicinskoj psihologii im. V.M. Behtereva. 2019; 3:3-9. (In Russ.). https://doi.org/10.31363/2313-7053-2019-3-3-9
4. Ljusin D.V. Oprosnik na emocional’nyj intellect EmIn: novye psihometricheskie dannye. Social’nyj i emocional’nyj intellekt: ot modelej k izmerenijam. Pod red. D.V. Ljusina, D.V. Ushakova. M.: Institutpsihologii RAN. 2009; 264—278. (in Russ.).
5. Maslovskii SY, Kozlovskii VL. Measuring the quality of life of patients with schizophrenia during supportive therapy. Obozrenie psikhiatrii i meditsinskoi psikhologii im. V. M. Bekhtereva. 2009; 3:29-32. (in Russ.).