Nonverbal behavior of human addicts: Multimetric analysis

Abstract Aims Ethological approach followed by multimetric statistical analysis was applied to characterize and discriminate alcohol, heroin and dual, alcohol and heroin, dependent subjects. Design Heroin, alcohol, and dual dependent patients ( n = 51) after one month of stabilization of remission a...

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Bibliographic Details
Published in:	Addictive behaviors Vol. 32; no. 10; pp. 2260 - 2267
Main Authors:	Verbitskaya, Elena V, Krupitsky, Evgeny M, Burakov, Andrey, Tsoy-Podosenina, Marina V, Egorova, Valentina Yu, Bushara, Natalia, Vekovischeva, Olga Yu
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 01-10-2007 Elsevier Science Ltd
Subjects:	Addictions Adult Alcoholics Alcoholism - psychology Analysis of Variance Behavior Case-Control Studies Cues Discriminant Analysis Ethnology Heroin Dependence - psychology Heroin users Human nonverbal behavior Humans Middle Aged Multimetric statistic analysis Nonverbal communication Psychiatry Statistical analysis Substance-Related Disorders - psychology Alcoholics Multimetric statistic analysis Heroin users Human nonverbal behavior
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Summary:	Abstract Aims Ethological approach followed by multimetric statistical analysis was applied to characterize and discriminate alcohol, heroin and dual, alcohol and heroin, dependent subjects. Design Heroin, alcohol, and dual dependent patients ( n = 51) after one month of stabilization of remission and control volunteers ( n = 34) without a history of significant drug or alcohol use were interviewed and videotaped during the interview by approbation. Nonverbal behavioral cues monitored during the interview were analyzed by means of general linear procedure followed by correlation, factor and discriminant function analyses. Findings By using this approach the attempt to discriminate addicted groups between each other failed. Therefore we found acceptable to combine subjects in one group and to suggest the similarity between alcohol and heroin dependence. It was found that principal markers of behavioral structure in addicted subjects were higher responsivity to communicate distance, less expression of affiliation behavioral pattern, low level of correlations between different behavioral patterns, and unclear factor structure. Behavioral pattern “affiliation” was identified as discriminate behavior between control and addicted subjects. Conclusions Nonverbal cues of human behavior identified clear differences between healthy control and addictive subjects. Therefore, ethological approach described in this paper could be recommended for future use in clinical practice.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23
ISSN:	0306-4603 1873-6327
DOI:	10.1016/j.addbeh.2007.01.009