title: [Classification and predictive quality of the "suicide intent" marker in parasuicides. A cluster analytic study].
abstract: The aim of the study was to investigate the discriminant and predictive quality of "suicide intent" (SIS) in relation to motives for deliberate self-harm (DSH). Cluster analysis was performed in a sample of 137 inpatients admitted to a psychiatric hospital after a DSH episode. Six different subgroups were isolated. The hypothesis was tested that the six groups would reveal distinct patterns of motives and different patterns of repeated DSH episodes during a 12-month observation period. Results indicated that one high-risk group for completed suicide was characterized by the highest death intention and remarkably low interpersonal motives. Two further groups were labeled as "moderate" risk groups. Two groups were found to be characterized by low suicide intent with prevailing patterns of distinct interpersonal oriented motives (manipulative vs appellative), whereas one group revealed an ambiguous motive structure reflecting death orientation and interpersonal motives. The DSH repetition rates were found to be significantly different between certain subgroups. The study results support the assumption that DSH patients represent heterogeneous populations with regard to suicide intent, motives, and the repetition of deliberate self-harm.
authors.affiliation: Psychiatrisches Krankenhaus des Landes Tirol, Primariat B, Thurnfeldgasse 14, A-6060 Hall in Tirol.
authors.forename: E
authors.initials: E
authors.lastname: Antretter
authors.forename: D
authors.initials: D
authors.lastname: Dunkel
authors.forename: R
authors.initials: R
authors.lastname: Seibl
authors.forename: C
authors.initials: C
authors.lastname: Haring
mesh_terms: D000328:Adult; D001317:Austria; D016000:Cluster Analysis; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009042:Motivation; D012008:Recurrence; D012306:Risk; D013406:Suicide, Attempted / Q000145:classification / Q000523:psychology* / Q000706:statistics & numerical data