combinations of injunctions and personality types determining forms of self-destructive behaviour in alcohol-dependent clients: findings of a russian observational study

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ID: 134324
2016
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Abstract
This observational study, conducted 2009-2012 with 190 male out-patient clients diagnosed with alcohol dependence and receiving psychotherapeutic treatment in Ryazan, Russia, investigated whether the patterns of self-destructive behaviours exhibited by the subjects were linked to their Personality Types and which combinations of injunctions were reflected in their main personality traits. Self-destructive behaviour was measured according to the 7 Alcoholic Self-Destructiveness Dimensions (ASD) (Shustov 2005); data on alcohol abuse and preferred ASD were gathered through semi-structured interview; personality patterns and psychosocial functioning were assessed by means of clinical observation, semi-structured interview, the Personality Diagnostic Questionnaire: Version 4+ (Hyler, 1994) (Russian version) and ICD-10 criteria except for Narcissistic Disorder diagnosed according to DSM-IV; 12 injunctions were assessed with The Drego Injunction Scale (Drego, 1994) (Russian version). When correlations were analysed, it was found that injunctions had a significant impact on the hamartic alcoholic script of the out-patient alcohol-dependent clients on the following continuum: Don’t Be, Don’t Think, Don’t Be a Child, Don’t Trust, Don’t Feel, Don’t Grow Up; client personality types had direct relationship with specific injunction patterns. Personality Types mediated the Alcoholic Self-Destructiveness Dimensions: the Classical Suicidal Dimension being associated with Borderline personality traits; Antisocial with the Antisocial personality; and Professional with the Narcissistic Personality.
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shustov2016internationalcombinations Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Dmitri Shustov;Olga Tuchina;Sergei Novikov;Ilya Fedotov
Journal international journal of transactional analysis research
Year 2016
DOI
10.29044/v7i2p10
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