Literature DB >> 3664134

Classification of parasuicide by cluster analysis. Types of suicidal behaviour, therapeutic and prognostic implications.

A Kurz1, H J Möller, G Baindl, F Bürk, A Torhorst, C Wächtler, H Lauter.   

Abstract

A classification of suicidal behaviour was derived by cluster analysis from descriptive data on parasuicide patients. The grouping was meaningful in terms of clinical interpretation and had both therapeutic and prognostic implications. The sample was broken down into three groups, identified as repeated, serious and non-serious attempts. The repeated attempters had the worst prognosis at 1-year follow-up. When the sample was classified into five groups according to seriousness of the attempts, the repeater and non-serious groups were retained, while the serious attempts were split into three subtypes, which differed on nosological characteristics, treatment disposal and outcome. An excessively high successful suicide rate was found in a small group of elderly attempters.

Entities:  

Mesh:

Year:  1987        PMID: 3664134     DOI: 10.1192/bjp.150.4.520

Source DB:  PubMed          Journal:  Br J Psychiatry        ISSN: 0007-1250            Impact factor:   9.319


  5 in total

Review 1.  Do SSRIs or antidepressants in general increase suicidality? WPA Section on Pharmacopsychiatry: consensus statement.

Authors:  Hans-Jürgen Möller; David S Baldwin; Guy Goodwin; Siegfried Kasper; Ahmed Okasha; Dan J Stein; Rajiv Tandon; Marcio Versiani
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2008-08       Impact factor: 5.270

2.  A comparison between male and female parasuicides in Hong Kong.

Authors:  P C Pan; F Lieh-Mak
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  1989-09       Impact factor: 4.328

Review 3.  Evidence for beneficial effects of antidepressants on suicidality in depressive patients: a systematic review.

Authors:  Hans-Jürgen Möller
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2006-06-16       Impact factor: 5.270

4.  Personality subtypes of suicidal adults.

Authors:  Kile M Ortigo; Drew Westen; Bekh Bradley
Journal:  J Nerv Ment Dis       Date:  2009-09       Impact factor: 2.254

5.  Machine Learning Derived Lifting Techniques and Pain Self-Efficacy in People with Chronic Low Back Pain.

Authors:  Trung C Phan; Adrian Pranata; Joshua Farragher; Adam Bryant; Hung T Nguyen; Rifai Chai
Journal:  Sensors (Basel)       Date:  2022-09-04       Impact factor: 3.847

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.