Objectives: Compare the attitudes toward mental illness between medical and nursing undergraduate students from a university in India.
Methods: A cross sectional descriptive study was carried out among medical (n=154) and nursing undergraduate students (n=168) using Attitude Scale for Mental Illness (ASMI) questionnaire with six sub scales namely; Separatism, Stereotyping, Restrictiveness, Benevolence, Pessimistic prediction and Stigmatization. This was a 5-point Likert scale with 34 items to rate participants responses from totally disagree (1) to totally agree (5). The lower scores indicate positive attitudes toward persons with mental illness.
Results: Our findings revealed that 54.5% of medical students versus 64.8% of nursing students have positive attitudes toward mental illness. While medical students have better attitudes against separatism and stigmatization, nursing students have more positive attitudes in benevolence and against pessimism.
Conclusions: An important proportion of medical and nursing students have negative attitudes toward mental illness. It is necessary to review and adapt the current curriculum to favor the positive attitude of future professionals toward people with these types of diseases.
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http://dx.doi.org/10.17533/udea.iee.v35n1a10 | DOI Listing |
Int J Bipolar Disord
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Department for Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt-Goethe University, Frankfurt am Main, Germany.
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December 2024
The Department of Mechanical Engineering and Mechatronics, Ariel University, Ariel, Israel.
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December 2024
Department of Pharmacology, University of the Basque Country, UPV/EHU, Sarriena S/N, 48940, Leioa, Bizkaia, Spain.
Cannabis use disorder affects up to 42% of individuals with schizophrenia, correlating with earlier onset, increased positive symptoms, and more frequent hospitalizations. This study employed an untargeted lipidomics approach to identify biomarkers in plasma samples from subjects with schizophrenia, cannabis use disorder, or both (dual diagnosis), aiming to elucidate the metabolic underpinnings of cannabis abuse and schizophrenia development. The use of liquid chromatography-high resolution mass spectrometry enabled the annotation of 119 metabolites, with the highest identification confidence level achieved for 16 compounds.
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