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Dataset Information

Delineating impulsivity-based pathways to suicide deaths: A cluster analysis.


ABSTRACT:

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

SUBMITTER: Sanz-Gomez S 

PROVIDER: S-EPMC12438984 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature