Introduction: Polytoxicomanic proportions in subpopulations of youth have been growing steadily in recent decades, and this trend is pan-continental. Psychoticism is a psychological construct that assumes special basic dimensions of personality disintegration and cognitive functions. Psychoticism may, in general, be the basis of pathological functioning of youth and influence the patterns of thought, feelings and actions that cause dysfunction.
Objective: The aim of this study was to determine the distribution of basic dimensions of psychoticism for commitment of youth to abuse psychoactive substances (PAS) in order to reduce disturbing intrapsychic experiences or manifestation of psychotic symptoms.
Methods: For the purpose of this study, two groups of respondents were formed, balanced by age, gender and family structure of origin (at least one parent alive). The study applied a DELTA-9 instrument for assessment of cognitive disintegration in function of establishing psychoticism and its operationalization. The obtained results were statistically analyzed. From the parameters of descriptive statistics, the arithmetic mean was calculated with measures of dispersion. A cross-tabular analysis of variables tested was performed, as well as statistical significance with Pearson's chi2-test, and analysis of variance.
Results: Age structure and gender are approximately represented in the group of polytoximaniacs and the control group. Testing did not confirm the statistically significant difference (p > 0.5). Statistical methodology established that they significantly differed in most variables of psychoticism, polytoxicomaniacs compared with a control group of respondents. Testing confirmed a high statistical significance of differences of variables of psychoticism in the group of respondents for p < 0.001 to p < 0.01.
Conclusion: A statistically significant representation of the dimension of psychoticism in the polytoxicomaniac group was established. The presence of factors concerning common executive dysfunction was emphasized.
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http://dx.doi.org/10.2298/sarh1102076n | DOI Listing |
J Behav Addict
January 2025
2Ciber Physiopathology of Obesity and Nutrition (CIBERObn), Instituto de Salud Carlos III, Barcelona, Spain.
Background And Aims: Internet gaming disorder (IGD) is a highly engrossing activity with the individual spending up to 10 h per day gaming, this causes issues in accomplishing their tasks and personal goals. Also, to generate in them increased anxiety, impulsivity and lack of social skills, this impacts the good personal development and individual's quality of life. Therefore, it is vital to better understand, in terms of treatment, which factors are associated with therapeutic outcomes (largely to achieve control over the use of video games and the lack of relapses) following a standardized Cognitive Behavioral Therapy (CBT) protocol.
View Article and Find Full Text PDFCannabis
December 2024
Department of Psychiatry, Faculty of Medicine, University of British Columbia.
Objective: The relationship between cannabis use and mental health has garnered significant attention in recent decades. However, studies have largely been in general populations or in countries in which recreational cannabis use is illegal.
Method: The current cross-sectional study examines the relationship between cannabis use, mood disorders, anxiety, and psychosis in an inpatient psychiatric population with severe concurrent mental health and substance use disorders, exploring the potential moderating effect of the legalization of recreational cannabis in Canada.
Compr Psychiatry
February 2025
Department of Health Sciences, Magna Græcia University of Catanzaro, Viale Europa, 88100 Catanzaro, Italy. Electronic address:
Background: Problematic gaming (PG) has emerged as a major concern due to its potential impact on adolescents' everyday lives. Emotional abuse (EA) and psychoticism are considered factors influencing PG, but their long-term interactions have not been extensively studied. This research investigates these relationships over time using the Interaction of Person-Affect-Cognition-Execution (I-PACE) model.
View Article and Find Full Text PDFSchizophr Res
January 2025
Department of Psychiatry, Seoul National University Hospital, Seoul, Republic of Korea; Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea. Electronic address:
Predicting early treatment response in schizophrenia is pivotal for selecting the best therapeutic approach. Utilizing machine learning (ML) technique, we aimed to formulate a model predicting antipsychotic treatment outcomes. Data were obtained from 299 patients with schizophrenia from three multicenter, open-label, non-comparative clinical trials.
View Article and Find Full Text PDFSoc Psychiatry Psychiatr Epidemiol
December 2024
Institute of Social Medicine, Occupational Health and Public Health, Leipzig University, Ph.- Rosenthal-Str. 55, 04103, Leipzig, Germany.
Purpose: Loneliness is a pervasive phenomenon that is linked to adverse health outcomes. Unemployed individuals with mental illnesses (UMIs) constitute a high-risk group, with substantial implications for both health and vocational (re)integration. This study aims to gain deeper insights into the relationships between psychological problems and symptoms of psychopathology and loneliness in UMIs.
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