The suicide crisis syndrome: A network analysis.
2020/04/20 by Sarah Bloch‐Elkouby, Sarah Bloch-Elkouby, Bernard Gorman +7 · 21 citations
Psychology · Neuroscience · #Mental Health Research Topics #Functional Brain Connectivity Studies #Suicide and Self-Harm Studies
paper · doi:10.1037/cou0000423
Abstract
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. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Cited by
- Assessing the predictive ability of the Suicide Crisis Inventory for near-term suicidal behavior using machine learning approaches. [europepmc]
- The association between the suicide crisis syndrome and suicidal behaviors: The moderating role of personality traits. [europepmc]
- Coexisting service-related factors preceding suicide: a network analysis. [europepmc]
- Exploring the Risk of Suicide in Real Time on Spanish Twitter: Observational Study. [europepmc]
- Factor Structure and Validation of the Revised Suicide Crisis Inventory in a Korean Population. [europepmc]
- Risks of suicide in migraine, non-migraine headache, back, and neck pain: a systematic review and meta-analysis. [europepmc]
- Bridge symptoms between parenting styles and proximal psychological risk factors associated with adolescent suicidal thoughts: a network analysis. [europepmc]
- Moderation effects of health behaviors on stress and suicidal ideation in adolescents: a cross-sectional survey during COVID-19. [europepmc]
- Suicide Crisis Inventory-2: factor structure, internal consistency, and validity in a Brazilian sample. [europepmc]
- Abbreviated Suicidal Narrative Inventory: factor structure, internal consistency, and validity in a Brazilian sample. [europepmc]
- Machine learning approach for the development of a crucial tool in suicide prevention: The Suicide Crisis Inventory-2 (SCI-2) Short Form. [europepmc]
- Validity, Reliability, and Factor Structure of the Suicide Crisis Scale in Turkish. [europepmc]
- Using network analysis to elucidate the relationships among support systems, trauma and depressive symptoms, self-silencing, and risk of HIV viral non-suppression among black women living with HIV. [europepmc]
- Capturing crisis dynamics: a novel personalized approach using multilevel hidden Markov modeling. [europepmc]
- The associations between PTSD symptom clusters, insomnia, and depressive symptoms in Chinese adolescents with low and high levels of internet addiction: A cross-lagged network analysis. [europepmc]
- A network and mediation analysis on the associations between family environment and suicidal ideation in adolescents in a psychiatric clinical setting. [europepmc]
- Psychometric Evaluation of the Revised Suicide Crisis Inventory (SCI-2) in Germany: Factor Structure, Reliability, and Validity in an Online and Outpatient Sample. [europepmc]
- Network models reveal high-dimensional social inferences in naturalistic settings beyond latent construct models. [europepmc]
- Predictive Validity and Cutoff Scores of the Revised Suicide Crisis Inventory in Korean Adults: A One-Year Follow-Up Study. [europepmc]
- Suicide Crisis Syndrome: examining supporting evidence and barriers to diagnostic validity. [europepmc]
- Predicting imminent suicide risk in a crisis hotline chat using machine learning. [europepmc]
Related