Background And Aims: The aim of this study was to investigate Hong Kong nationals' ability to recognize 13 different mental disorders and to examine whether there may be a relationship between their mental health literacy (MHL) and their tendency to describe/explain symptoms of mental disorders in physical terms.
Methods: A total of 299 participants took part in this study and the vignettes depict post-traumatic stress disorder, depression, obsessive-compulsive disorder (OCD), dependent personality disorder, schizotypal personality disorder, generalized anxiety disorder, agoraphobia, bipolar disorder, social phobia, panic disorder, narcissistic personality disorder, schizophrenia and antisocial personality disorder.
Results: Overall, OCD was the best identified and the personality disorders were the worst. A significant negative correlation was found between participants' MHL and the rate of offering a 'physical' rather than a 'psychological' explanation. Some mental disorders were better recognized than others such as OCD (40.1%) and depression (36.3%). However, the majority of the other disorders were very poorly recognized and labelled with the rest having 'correct response' rates of lower than 15%. Over half of the mental disorders had 'correct' response rates of lower than 5%.
Conclusion: In accordance with many other studies in the area, this study found Asian participants poor at recognizing mental disorders. This is probably due to the fact that mental illnesses of all kinds remain a taboo topic.
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http://dx.doi.org/10.1177/0020764016651291 | DOI Listing |
J Neural Transm (Vienna)
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Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China.
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Bacterial proteome microarrays are high-throughput, adaptable tools that allow the simultaneous investigation of thousands of proteins from various bacterial species. These arrays are used to explore bacterial pathogenicity, pathogen-host interactions, and clinical diseases. Recent advancements have expanded their application to profiling human antibodies, identifying biomarkers for infectious and autoimmune diseases, and studying antimicrobial peptides (AMPs).
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Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA; Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany. Electronic address:
Understanding how the brain distinguishes emotional from neutral scenes is crucial for advancing brain-computer interfaces, enabling real-time emotion detection for faster, more effective responses, and improving treatments for emotional disorders like depression and anxiety. However, inconsistent research findings have arisen from differences in study settings, such as variations in the time windows, brain regions, and emotion categories examined across studies. This review sought to compile the existing literature on the timing at which the adult brain differentiates basic affective from neutral scenes in less than one second, as previous studies have consistently shown that the brain can begin recognizing emotions within just a few milliseconds.
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