Nonverbal behavior of human addicts: Multimetric analysis
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| Title: | Nonverbal behavior of human addicts: Multimetric analysis |
|---|---|
| Authors: | Verbitskaya, Elena V.1 verboel@spmu.rssi.ru, Krupitsky, Evgeny M.2 kru@ek3506.spb.edu, Burakov, Andrey3, Tsoy-Podosenina, Marina V.2, Egorova, Valentina Yu.2, Bushara, Natalia2, Vekovischeva, Olga Yu.4 olga.vekovischeva@helsinki.fi |
| Source: | Addictive Behaviors. Oct2007, Vol. 32 Issue 10, p2260-2267. 8p. |
| Subject Terms: | *Drug abuse, Heroin, Morphine, People with alcoholism |
| Abstract: | 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. [Copyright &y& Elsevier] |
| Copyright of Addictive Behaviors is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 26151781 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Nonverbal behavior of human addicts: Multimetric analysis – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Verbitskaya%2C+Elena+V%2E%22">Verbitskaya, Elena V.</searchLink><relatesTo>1</relatesTo><i> verboel@spmu.rssi.ru</i><br /><searchLink fieldCode="AR" term="%22Krupitsky%2C+Evgeny+M%2E%22">Krupitsky, Evgeny M.</searchLink><relatesTo>2</relatesTo><i> kru@ek3506.spb.edu</i><br /><searchLink fieldCode="AR" term="%22Burakov%2C+Andrey%22">Burakov, Andrey</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Tsoy-Podosenina%2C+Marina+V%2E%22">Tsoy-Podosenina, Marina V.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Egorova%2C+Valentina+Yu%2E%22">Egorova, Valentina Yu.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Bushara%2C+Natalia%22">Bushara, Natalia</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Vekovischeva%2C+Olga+Yu%2E%22">Vekovischeva, Olga Yu.</searchLink><relatesTo>4</relatesTo><i> olga.vekovischeva@helsinki.fi</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Addictive+Behaviors%22">Addictive Behaviors</searchLink>. Oct2007, Vol. 32 Issue 10, p2260-2267. 8p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Drug+abuse%22">Drug abuse</searchLink><br /><searchLink fieldCode="DE" term="%22Heroin%22">Heroin</searchLink><br /><searchLink fieldCode="DE" term="%22Morphine%22">Morphine</searchLink><br /><searchLink fieldCode="DE" term="%22People+with+alcoholism%22">People with alcoholism</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Addictive Behaviors is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.addbeh.2007.01.009 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 2260 Subjects: – SubjectFull: Drug abuse Type: general – SubjectFull: Heroin Type: general – SubjectFull: Morphine Type: general – SubjectFull: People with alcoholism Type: general Titles: – TitleFull: Nonverbal behavior of human addicts: Multimetric analysis Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Verbitskaya, Elena V. – PersonEntity: Name: NameFull: Krupitsky, Evgeny M. – PersonEntity: Name: NameFull: Burakov, Andrey – PersonEntity: Name: NameFull: Tsoy-Podosenina, Marina V. – PersonEntity: Name: NameFull: Egorova, Valentina Yu. – PersonEntity: Name: NameFull: Bushara, Natalia – PersonEntity: Name: NameFull: Vekovischeva, Olga Yu. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2007 Type: published Y: 2007 Identifiers: – Type: issn-print Value: 03064603 Numbering: – Type: volume Value: 32 – Type: issue Value: 10 Titles: – TitleFull: Addictive Behaviors Type: main |
| ResultId | 1 |
