The effect of depression on non-suicidal self-injury and psychological status in adolescents with unipolar and bipolar disorders

BMC Psychology, Journal Year: 2024, Volume and Issue: 12(1)

Published: Dec. 18, 2024

To investigate the effects of depression on non-suicidal self-injury (NSSI) and related psychological conditions in adolescents with unipolar disorder (UD) bipolar (BD), to provide a basis for accurate prevention intervention NSSI behaviors adolescents. This cross-sectional study collected data from aged 12–18 years depressive episodes who exhibited attended psychiatric outpatient clinic Huangshi City Psychiatric Specialized Hospital 2018 2023. Depressive were clinically diagnosed by two psychiatrists according ICD-10. In terms behavioral patterns severity, UD displayed more frequent behaviour intentionally burning themselves cigarettes had instances self-inflicted suicidal thoughts that not carried out compared those BD, differences between groups statistically significant (P < 0.05). For status, Nurses′ Global Assessment Suicide Risk (NGASR) scores significantly higher BD than There was negative correlation anxiety frequency 0.05); is, anxious lower NSSI. The NGASR positively correlated occurrences corresponded frequencies method severity. Adolescents experienced severe consequences behaviors. Regarding conditions, are at risk suicide. An inverse relationship observed severity BD; associated frequency. Additionally, suicide adolescent patients either or BD. Therefore, different measures needed address

Language: Английский

RNA Editing Signatures Powered by Artificial Intelligence: A New Frontier in Differentiating Schizophrenia, Bipolar, and Schizoaffective Disorders

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(23), P. 12981 - 12981

Published: Dec. 3, 2024

Mental health disorders are devastating illnesses, often misdiagnosed due to overlapping clinical symptoms. Among these conditions, bipolar disorder, schizophrenia, and schizoaffective disorder particularly difficult distinguish, as they share alternating positive negative mood Accurate timely diagnosis of diseases is crucial ensure effective treatment tailor therapeutic management each individual patient. In this context, it essential move beyond standard assessment employ innovative approaches identify new biomarkers that can be reliably quantified. We previously identified a panel RNA editing capable differentiating healthy controls from depressed patients and, among patients, those with major depressive disorder. study, we integrated Adenosine-to-Inosine blood data through machine learning algorithms establish specific signatures for schizophrenia spectrum disorders. This groundbreaking study paves the way application in other psychiatric disorders, such It represents first proof-of-concept provides compelling evidence establishment an signature conditions.

Language: Английский