Suicide is a major public health problem, and suicide rates are still on the rise. Current strategies for identifying individuals at risk for suicide, such as the use of a patient's self‐reported suicidal ideation or evidence of past suicide attempts, have not been sufficient in reducing suicide rates. Recently, research groups have been focused on determining the acute mental state preceding a suicide attempt. The development of an acute suicidal diagnosis, the Suicide Crisis Syndrome (SCS), is aimed at capturing this state to better treat individuals. The SCS has five main evidence‐based components—entrapment, affective disturbance, loss of cognitive control, hyperarousal, and social withdrawal. The SCS may provide clinicians with the ability to identify individuals who are experiencing an acute pre‐suicidal mental state, regardless of their self‐reported suicidal ideation. Future research leading to the incorporation of this diagnosis into clinical practice could improve the quality of care and reduce the personal, societal, and legal burden of suicide.

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Recent studies introduced the suicide crisis syndrome (SCS), a condition associated with imminent suicidal behavior and characterized by (a) a pervasive feeling of entrapment in which the escape from an unbearable life situation is perceived as both urgent and impossible (Criterion A) and (b) affective disturbance, loss of cognitive control, hyperarousal, and social withdrawal (Criterion B). The goal of the present study was to use some of the analytic tools provided by network analyses to further the understanding of the psychological, emotional, cognitive, behavioral, and physiological processes involved in the SCS by testing (a) whether the different symptoms of the proposed syndrome are related to each other, (b) whether symptoms form meaningful clusters, and (c) whether certain symptoms are more central than others. The study included 500 outpatient and 223 inpatient participants. A network analysis of the participants' scores on the various symptoms of the SCS was conducted. The network analysis suggested that most SCS symptoms are linked by strong connections and that entrapment and ruminative flooding are highly correlated with the other SCS symptoms. Three clusters of symptoms were identified, suggesting the existence of several interdependent psychological processes potentially involved in SCS phenomenology. Our findings support both the suggested symptoms of the SCS and the central role of entrapment in the proposed criteria for the syndrome. Emotional pain appears to be closely linked to entrapment and may belong in Criterion A.

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