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Estimating the Prevalence of Schizophrenia in the General Population of Japan Using an Artificial Neural Network-Based Schizophrenia Classifier: Web-Based Cross-Sectional Survey.
JMIR Form Res
January 2025
Department of Public Health, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, 470-1192, Japan, 81 562-93-2476, 81 562-93-3079.
Background: Estimating the prevalence of schizophrenia in the general population remains a challenge worldwide, as well as in Japan. Few studies have estimated schizophrenia prevalence in the Japanese population and have often relied on reports from hospitals and self-reported physician diagnoses or typical schizophrenia symptoms. These approaches are likely to underestimate the true prevalence owing to stigma, poor insight, or lack of access to health care among respondents.
View Article and Find Full Text PDFExploring the Experience of Loneliness among People Living with Schizophrenia: A Qualitative Study.
Issues Ment Health Nurs
January 2025
Program in Occupational Therapy, Washington University School of Medicine, St. Louis, Missouri, USA.
Background: People living with schizophrenia or schizoaffective disorder are at heightened risk for experiencing loneliness, which is associated with negative health, quality of life, and symptom-specific outcomes.
Aims: This study aimed to better understand the experience of loneliness among adults living with schizophrenia or schizoaffective disorder.
Methods: Using a semi-structured interview guide, researchers interviewed twelve participants living with schizophrenia or schizoaffective disorder.
Development and validation of a schizophrenia literacy scale for individuals diagnosed with schizophrenia.
Psychiatry Res
February 2025
School of Nursing, College of Medicine, Chang Gung University, Tao-Yuan City, Taiwan; Department of Nursing, Chang Gung University of Science and Technology, Tao-Yuan City, Taiwan; Department of Psychiatry, Chang Gung Memorial Hospital, Keelung Branch, Keelung City, Taiwan. Electronic address:
Schizophrenia literacy is key to early identification of schizophrenia and diminishment of stigma. This facilitates help-seeking and adherence to mental health treatment for individuals suffering from schizophrenia. However, validated measures assessing schizophrenia literacy among individuals diagnosed with schizophrenia remain limited.
View Article and Find Full Text PDFDiagnosis of Schizophrenia and Its Subtypes Using MRI and Machine Learning.
Brain Behav
January 2025
Computational and Artificial Intelligence Department, Institute of Cognitive Science Studies, Tehran, Iran.
Purpose: The neurobiological heterogeneity present in schizophrenia remains poorly understood. This likely contributes to the limited success of existing treatments and the observed variability in treatment responses. Our objective was to employ magnetic resonance imaging (MRI) and machine learning (ML) algorithms to improve the classification of schizophrenia and its subtypes.
View Article and Find Full Text PDFOn the improvement of schizophrenia detection with optical coherence tomography data using deep neural networks and aggregation functions.
Sci Rep
December 2024
Department of Clinical Neuropsychiatry, Medical University of Lublin, ul. Głuska 1, 20-439, Lublin, Poland.
Schizophrenia is a serious mental disorder with a complex neurobiological background and a well-defined psychopathological picture. Despite many efforts, a definitive disease biomarker has still not been identified. One of the promising candidates for a disease-related biomarker could involve retinal morphology , given that the retina is a part of the central nervous system that is known to be affected in schizophrenia and related to multiple illness features.
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