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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1192/j.eurpsy.2025.10070</dc:identifier><dc:language>eng</dc:language><dc:creator>Sanz-Gomez, Sergio</dc:creator><dc:creator>Alacreu-Crespo, Adrián</dc:creator><dc:creator>Gourgechon-Buot, Elia</dc:creator><dc:creator>Perea-Gonzalez, Maria Isabel</dc:creator><dc:creator>Ordoñez-Carrasco, Jorge Luis</dc:creator><dc:creator>Courtet, Philippe</dc:creator><dc:creator>Giner, Lucas</dc:creator><dc:title>Delineating impulsivity-based pathways to suicide deaths: A cluster analysis</dc:title><dc:identifier>ART-2025-145245</dc:identifier><dc:description>Background: The significant heterogeneity among individuals who die by suicide complicates prevention, suggesting that a “one-size-fits-all” approach is insufficient. It is crucial to identify distinct subgroups for targeted strategies. This study aims to characterize suicide profiles based on trait impulsivity and related factors.
Methods: Data from the FRieNDS project (Factores de Riesgo en Defunciones por Suicidio – Risk Factors in Suicide Deaths), a psychological autopsy study of 408 suicide deaths, were used. After determining the optimal number of clusters via stability analysis through agglomerative nesting, a final cluster analysis was performed on 391 valid suicide deaths (defined as cases with no missing data on the variables used for clustering) using k-means on a lower-dimensional representation of the data encoded by an autoencoder. Key clustering variables included sex, impulsivity (Barratt Impulsivity Scale-11), aggression, intent to die, previous history of suicide attempts, history of substance abuse, psychotic and affective disorders, and the presence of a depressive episode at the time of death.  
Results: We identified three clusters: (1) Impulsive-aggressive (29.8%), characterized by high rates of Cluster B disorders, substance abuse, more stressful events, and low lethal intent; (2) depressive prior attempters (24.5%), which comprised mostly women and showed greater behavioural changes before death; and (3) non-impulsive/aggressive (45.7%), a group with no clear psychopathological profile, less healthcare contact, and minimal communicated intent to die, despite having few prior attempts.
Conclusion: Our study identified three suicide clusters with varying impulsivity levels, highlighting the need for tailored interventions and community-level research for better suicide prevention strategies.</dc:description><dc:date>2025</dc:date><dc:source>http://zaguan.unizar.es/record/162782</dc:source><dc:doi>10.1192/j.eurpsy.2025.10070</dc:doi><dc:identifier>http://zaguan.unizar.es/record/162782</dc:identifier><dc:identifier>oai:zaguan.unizar.es:162782</dc:identifier><dc:identifier.citation>EUROPEAN PSYCHIATRY 68, 1 (2025), e114 [13 pp.]</dc:identifier.citation><dc:rights>by</dc:rights><dc:rights>https://creativecommons.org/licenses/by/4.0/deed.es</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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