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Predicting suicidal risk in schizophrenic and schizoaffective patients in a prospective two-year trial.
Author: , AlphsLarry, AnandRavi, GreenAlan, HsuChuanchieh, KrishnanK Ranga Rama, MeltzerHerbert, PotkinSteven G, YoungFrederick K
Original Abstract of the Article :
BACKGROUND: Enhanced ability to reliably identify risk factors for suicidal behavior permits more focused decisions concerning treatment interventions and support services, with potential reduction in lives lost to suicide. METHODS: This study followed 980 patients at high risk for suicide in a mul...See full text at original site
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引用元:
https://doi.org/10.1016/s0006-3223(03)00178-1
データ提供:米国国立医学図書館(NLM)
Predicting Suicide Risk in Schizophrenia and Schizoaffective Disorder: A Camel's Journey Through the Mind
Suicide is a tragic reality for many individuals, and research is constantly striving to understand and prevent this devastating outcome. This study explored risk factors for suicidal behavior in patients with schizophrenia and schizoaffective disorder, two complex mental illnesses that often present unique challenges.Identifying the Warning Signs: A Camel's Guide to Suicide Risk Assessment
The researchers identified a number of factors that were associated with an increased risk of suicide in their patient population. These factors included a history of substance abuse, previous suicide attempts, and certain clinical features, such as anxiety, depression, and Parkinsonian symptoms.Providing Support: A Camel's Perspective on Mental Health
This study underscores the importance of comprehensive assessment and intervention for patients with schizophrenia and schizoaffective disorder. By identifying individuals at high risk for suicide, we can provide them with the appropriate support and resources they need to navigate the complexities of their condition and prevent tragic outcomes.Dr. Camel's Conclusion
The researchers identified several key factors associated with an increased risk of suicidal behavior in patients with schizophrenia and schizoaffective disorder. This information can be used to better identify and support individuals at risk, ultimately reducing the risk of suicide and promoting mental well-being.Date :
- Date Completed 2003-12-08
- Date Revised 2019-08-15
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