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Background: Numerous epidemiological studies on psychotic disorders have been conducted, however, most were from an etiological perspective, used small sample sizes, or focused on a limited number of disabilities. Few studies have investigated all types of disabilities over a long observation period, and none have included the entire adult population of a country. To explore potential differences in the incidence and prevalence of psychotic disorders between patients with and without disabilities, we conducted a serial cross-sectional study.
Methods: This study was conducted using a data set linking the Korean National Health Insurance Service database, and disability registration data. Age-standardized incidence or prevalence rates were calculated for each year during 2008-2017 according to the presence, severity, and type of the disability. Factors associated with psychotic disorders were examined by multivariate logistic regression using the most recent data.
Results: The age-standardized incidence and prevalence of psychotic disorders were higher among people with disabilities than among those without disabilities across all age groups, with particularly high rates observed among people with severe disabilities and those with intellectual disabilities. The gap in the prevalence of psychotic disorders between people with and without disabilities has widened over time. In regression analyses, adjusting for sociodemographic characteristics and mental health substantially reduced the odds ratios.
Conclusions: The incidence and prevalence of psychotic disorders were higher in people with disabilities, especially those with severe disabilities, and intellectual disabilities. Policy efforts are needed to narrow the gap people with and without disabilities.
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http://dx.doi.org/10.1186/s13690-025-01691-4 | DOI Listing |
Br J Psychiatry
September 2025
City St George's, University of London, London, UK.
Neuropsychiatr Dis Treat
August 2025
Geriatric Medicine Department II, Qingdao Mental Health Center, Qingdao, Shandong, People's Republic of China.
Purpose: Previous studies have shown that serum uric acid (UA) levels are significantly higher in patients with bipolar disorder (BD) than in patients with depressive disorder (DD), schizophrenia, and healthy controls. Currently, studies generally report that there is a complex bidirectional interaction between mood disorders (MD) and hyperuricemia (HUA). We investigated the prevalence and related factors of hyperuricemia in Chinese patients with mood disorders to find out potential mechanisms and build a predictive model.
View Article and Find Full Text PDFIntegr Med Res
March 2026
KM Science Research Division, Korea Institute of Oriental Medicine, South Korea.
Background: Depression is a common comorbidity of schizophrenia spectrum disorder (SSDs) that affects functional outcomes and quality of life. This systematic review and meta-analysis evaluated the effectiveness of herbal medicine as an adjunct therapy to antipsychotics in patients with SSDs and comorbid depression.
Methods: Eight databases were searched from inception to January 2025 for randomized controlled trials (RCTs) evaluating herbal medicine combined with antipsychotics vs antipsychotics alone in patients with SSDs and comorbid depression.
Biol Psychiatry Glob Open Sci
November 2025
Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia.
Background: Neuroimmune processes are often implicated in young people with atypical neuropsychiatric disorders, yet treatment implications remain controversial. This case series details young people with primary psychiatric disorders who received adjunctive immunotherapy after thorough investigation and extensive conventional treatments.
Methods: We evaluated 45 individuals (93% female, ages 12-30 years) with atypical psychiatric presentations suggesting potential neuroimmune involvement.
BMJ Public Health
August 2025
Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Introduction: Hepatitis C virus (HCV) infection is a substantial public health concern, particularly among individuals with opioid addiction. The methadone maintenance treatment (MMT) programmes serve as a harm reduction strategy to mitigate HIV disease spread, yet the risk of HCV infection remains high within these settings. Accurate risk prediction for HCV seroconversion is therefore crucial for improving patient outcomes.
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