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Suicidal ideation in first-episode psychosis: Considerations for depression, positive symptoms, clinical insight, and
Lindsay A Bornheimer1, Jessica A Wojtalik2, Juliann Li3
1University of Michigan, School of Social Work, Ann Arbor, MI, United States of America; University of Michigan, Department of Psychiatry, Ann Arbor, MI, United States of America.
Background:
Suicide is a leading cause of death for individuals with psychosis. Although factors influencing suicide risk have been studied in schizophrenia, far less is known about factors that protect against or trigger increased risk during early-stage and first episode of psychosis. This study examined whether depression, psychotic symptoms, clinical insight, and cognition were associated with suicide ideation among individuals with first-episode psychosis.
Methods:
Data were obtained from the Recovery After an Initial Schizophrenia Episode (RAISE) project. Participants (n = 404) included adults between ages 15 and 40 in a first episode of psychosis. Measurement included the Positive and Negative Syndrome Scale, Brief Assessment of Cognition in Schizophrenia, and Calgary Depression Scale for Schizophrenia. A logistic regression model evaluated clinical and cognitive variables as predictors of suicidal ideation.
Results:
Greater positive symptoms (OR = 1.085, p < .01) and depression (OR = 1.258, p < .001) were associated with increased likelihood of experiencing suicidal ideation during the RAISE project. Meanwhile, stronger working memory (OR = 0.922, p < .05) and impaired clinical insight (OR = 0.734, p < .05) were associated with a decreased likelihood of experiencing suicidal ideation.
Conclusion:
The likelihood of experiencing suicidal ideation was significantly increased when positive and depressive symptoms were present, and significantly decreased when clinical insight was poorer and working memory stronger. These findings have important implications for the role of cognition and insight in risk for suicide ideation in early-stage psychosis, which may aid in improving the prediction of suicide behaviors and inform clinical decision-making over the course of the illness.
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