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Do personality traits such as impulsivity and hostility-aggressiveness predict severity of intent in attempted suicide? Findings from a record based study in South India

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  • معلومة اضافية
    • بيانات النشر:
      SAGE Publishing, 2015.
    • الموضوع:
      2015
    • Collection:
      LCC:Psychiatry
    • نبذة مختصرة :
      Background: Little is known about the association of personality traits with intent in attempted suicide. Aims: Our objectives were to assess the levels of selected personality factors among suicide attempters and to examine their association with suicide intent. Materials and Methods: A chart review of 156 consecutive suicide attempters was carried out. All participants were administered the Beck Suicide Intent Scale, Barratt Impulsivity Scale-11, Buss-Perry Aggression Questionnaire, and Past Feelings and Acts of Violence Scale to assess suicide intent, trait impulsivity, hostility-aggression, and violence, respectively. Pearson′s product moment correlation was the used as the test of association. Stepwise linear regression was used to identify predictors of suicide intent. Results: Suicide intent was significantly correlated with verbal aggression (Pearson r = 0.90, P = 0.030), hostility (Pearson r = 0.316, P < 0.001), and nonplanning impulsivity (r = -0.174, P = 0.049). High hostility and low motor impulsivity emerged as significant predictors of suicide intent. Conclusion: Personality traits such as hostility and to an extent, impulsivity are accurate predictors of intentionality in attempted suicide. Clinicians should focus on these personality attributes during a routine evaluation of suicide attempters. They can also be considered as potential targets for suicide prevention programs.
    • File Description:
      electronic resource
    • ISSN:
      0253-7176
    • Relation:
      http://www.ijpm.info/article.asp?issn=0253-7176;year=2015;volume=37;issue=4;spage=393;epage=398;aulast=Menon; https://doaj.org/toc/0253-7176
    • الرقم المعرف:
      10.4103/0253-7176.168563
    • الرقم المعرف:
      edsdoj.32cf5219d4c847d58f17f08921a416c0