Literature DB >> 25526501

[Fearlessness about Death and Suicidal Behavior: Psychometric Properties of the German Version of the Revised Acquired Capability for Suicide Scale (ACSS-FAD)].

Lena Spangenberg1, Heide Glaesmer1, Anne Scherer2, Judith Gecht2, Antonia Barke3, Verena Mainz2, Thomas Forkmann2.   

Abstract

OBJECTIVES: The Acquired Capability of Suicide Scale (ACSS-FAD) assesses fearlessness about death according to the Interpersonal Theory of Suicide. Psychometric properties of the German version of the ACSS-FAD are investigated.
METHODS: Dimensionality and validity were analysed in a sample of N=268 undergraduate students.
RESULTS: Confirmatory factor analysis replicated the unidimensionality of the measure. Correlations with suicidal ideation (r= .05) and self-reported capability for suicide (r= .14) supported the validity of the scale, while the association with depression (r= - .20) is not in line with the theory. Male participants and participants reporting past self-injurious behaviour/suicidal attempts did not show higher levels of fearlessness about death.
CONCLUSION: The study demonstrates good psychometric properties of the German ACSS-FAD and largely supports the validity of the measure. However, future research needs to further investigate the validity of the ACSS-FAD (i.e. testing the utility of the instrument in predicting suicidal behaviour in patients at risk). © Georg Thieme Verlag KG Stuttgart · New York.

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Mesh:

Year:  2014        PMID: 25526501     DOI: 10.1055/s-0034-1387375

Source DB:  PubMed          Journal:  Psychiatr Prax        ISSN: 0303-4259


  3 in total

1.  Interpersonal Risk Factors for Suicide in Cocaine Dependence: Association with Self-Esteem, Personality Traits, and Childhood Abuse.

Authors:  Simon Zhornitsky; Thang M Le; Isha Dhingra; Brendan D Adkinson; Stephane Potvin; Chiang-Shan R Li
Journal:  Suicide Life Threat Behav       Date:  2020-02-06

2.  Depression, suicidal ideation and suicide risk in German veterinary medical students compared to the German general population.

Authors:  Nadine Schunter; Heide Glaesmer; Luise Lucht; Mahtab Bahramsoltani
Journal:  PLoS One       Date:  2022-08-17       Impact factor: 3.752

3.  SIMON: A Digital Protocol to Monitor and Predict Suicidal Ideation.

Authors:  Laura Sels; Stephanie Homan; Anja Ries; Prabhakaran Santhanam; Hanne Scheerer; Michael Colla; Stefan Vetter; Erich Seifritz; Isaac Galatzer-Levy; Tobias Kowatsch; Urte Scholz; Birgit Kleim
Journal:  Front Psychiatry       Date:  2021-07-01       Impact factor: 4.157

  3 in total

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