Skip to main content
Original article

Reducing alcohol-related interpretation biases in young hazardous drinkers by Cognitive Bias Modification–Interpretation Training

Published Online:https://doi.org/10.1024/0939-5911/a000456

Abstract.Aims: This study examined whether alcohol-related interpretation biases (IBs) can be reduced by means of cognitive bias modification – interpretation (CBM-I) training. Also, the training’s generalization effects and the moderating role of executive control (EC) were examined. Methods: Participants were 98 young hazardous drinkers. Half of the participants were trained to interpret ambiguous alcohol-related scenarios in an alcohol-unrelated way (neutral CBM-I), the other half completed alcohol-related ambiguous open-ended scenarios (control CBM-I). Alcohol-related IBs were assessed with open-ended ambiguous alcohol-related scenarios, completed by participants. The completions were coded by participants (self-coding) and by two independent coders (conservatively and liberally). Results: Neutral CBM-I, compared to control CBM-I, did not decrease alcohol-related IBs for the conservative and self-coding. For the liberal coding, both groups showed a decrease in alcohol-related IBs pre to post training. Moreover, there were no group differences in interpreting ambiguous, alcohol-related pictures during a signal-detection task. At the behavioral level, there was no reduction in alcohol use for either group at one week follow-up. Finally, EC did not moderate training effects. Conclusions: Although CBM-I effects were largely absent; the findings emphasize that more research into the working mechanisms of alcohol CBM-I is needed to test its potential in the context of hazardous drinking.


Die Reduzierung von alkohol-bezogenen Interpretationsverzerrungen mittels CBM-I

Zusammenfassung.Ziel: Alkoholmissbrauch und -abhängigkeit sind charakterisiert von sogenannten alkohol-bezogenen Interpretationsverzerrungen: Übermäßig trinkende Individuen haben die Neigung, mehrdeutige, potenziell alkohol-relevante Reize öfter auf alkoholbezogene als auf neutrale Weise zu interpretieren. Diese Studie untersucht, ob solche Interpretationsverzerrungen durch den Einsatz von Cognitive Bias Modification – Interpretation Training (CBM-I) reduziert werden können. Darüber hinaus wurde sowohl die Generalisierbarkeit des Trainingseffekts als auch die moderierende Rolle von exekutiven Funktionen (EF) untersucht. Methode: Es nahmen 98 junge Probanden mit riskantem Alkoholkonsum teil. Die Hälfte der Teilnehmer wurde trainiert, mehrdeutige alkoholbezogene Szenarios auf nicht-alkoholbezogene Weise zu interpretieren (neutrales CBM-I). Die andere Gruppe der Teilnehmer vervollständigte alkoholbezogene, mehrdeutige Szenarios mit offenem Ende (Kontroll-CBM-I). Um Veränderungen in Interpretationsverzerrungen zu messen, bekamen alle Teilnehmer mehrdeutige alkoholbezogene Szenarios angeboten, die jedoch noch kein Ende hatten. Die Teilnehmer hatten die Aufgabe, sich zu jedem Szenario ein Ende zu überlegen. Der Alkoholbezug dieser Endungen wurde dreimal kodiert: einmal von den Teilnehmern selbst (intern, Selbst-Kodierung) und zweimal von unabhängigen Beurteilern (extern, sowohl konservativ als auch liberal). Ergebnisse: Neutrales CBM-I, verglichen mit Kontroll-CBM-I, führte nicht zu einer Verringerung der alkoholbezogenen Interpretationsverzerrungen, wenn Interpretationsverzerrungen analysiert wurden, die extern konservativ und intern kodiert wurden. Bei der externen liberalen Kodierung zeigte sich jedoch, dass die Interpretationsverzerrungen in beiden Trainingsgruppen abnahmen. Darüber hinaus wurden keine Gruppenunterschiede bei der Interpretation mehrdeutiger alkoholbezogener Bilder während einer Signal-Entdeckungsaufgabe festgestellt. Auf der Verhaltensebene zeigte sich keine Reduktion des Alkoholkonsums in der Gruppe mit neutralem CBM-I Training. EF moderierten den Trainingseffekt nicht. Schlussfolgerungen: Das CBM-I Training führte nicht zu den erwarteten Effekten. Die Befunde legen nahe, dass weitere Forschung nötig ist, um die Mechanismen des Trainings besser zu verstehen und sein klinisches Potenzial bei riskantem Alkoholkonsum zu bestimmen.

References

  • Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. London, UK: Sage. First citation in articleGoogle Scholar

  • Ames, S. L., Sussman, S., Dent, C. W., & Stacy, A. W. (2005). Implicit cognition and dissociative experiences as predictors of adolescent substance use. The American Journal of Drug and Alcohol Abuse, 31(1), 129-162. doi: 10.1081/ADA-47908 First citation in articleCrossrefGoogle Scholar

  • Annis, H. M. (1982). Inventory of drinking situations. Toronto, Canada: Addiction Research Foundation of Ontario. First citation in articleGoogle Scholar

  • Blackwell, S. E., & Holmes, E. A. (2010). Modifying interpretation and imagination in clinical depression: A single case series using cognitive bias modification. Applied Cognitive Psychology, 24, 338 – 350. doi: 10.1002/acp.1680 First citation in articleCrossrefGoogle Scholar

  • Clarke, P. J., Notebaert, L., & MacLeod, C. (2014). Absence of evidence or evidence of absence: Reflecting on therapeutic implementations of attentional bias modification. BMC Psychiatry, 14(1), 8-14. doi: 10.1186/1471-244X-14-8 First citation in articleCrossrefGoogle Scholar

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Erlbaum. First citation in articleGoogle Scholar

  • Cooper, M. L. (1994). Motivations for alcohol use among adolescents: Development and validation of a four-factor model. Psychological Assessment, 6(2), 117-128. doi: 10.1037/1040-3590.6.2.117 First citation in articleCrossrefGoogle Scholar

  • Eberl, C., Wiers, R. W., Pawelczack, S., Rinck, M., Becker, E. S., & Lindenmeyer, J. (2014). Implementation of approach bias re-training in alcoholism: How many sessions are needed? Alcoholism: Clinical and Experimental Research, 38(2), 587-594. doi: 10.1111/acer.12281 First citation in articleCrossrefGoogle Scholar

  • Holmila, M., & Raitasalo, K. (2005). Gender differences in drinking: Why do they still exist? Addiction, 100(12), 1763-1769. doi: 10.1111/j.1360-0443.2005.01249.x First citation in articleCrossrefGoogle Scholar

  • Keyes, K. M., Grant, B. F., & Hasin, D. S. (2008). Evidence for a closing gender gap in alcohol use, abuse, and dependence in the United States population. Drug and Alcohol Dependence, 93(1), 21 – 29. doi: 10.1016/j.drugalcdep.2007.08.017 First citation in articleCrossrefGoogle Scholar

  • Kinsbourne, M., & Warrington, E. K. (1962). The effect of an after-coming random pattern on the perception of brief visual stimuli. Quarterly Journal of Experimental Psychology, 14(4), 223-234. doi: 10.1080/17470216208416540 First citation in articleCrossrefGoogle Scholar

  • Koster, E. H., Fox, E., & MacLeod, C. (2009). Introduction to the special section on cognitive bias modification in emotional disorders. Journal of Abnormal Psychology, 118(1), 1-4. doi: 10.1037/a0014379 First citation in articleCrossrefGoogle Scholar

  • Kraemer, H. C., Kazdin, A. E., Offord, D. R., Kessler, R. C., Jensen, P. S., & Kupfer, D. J. (1997). Coming to terms with terms of risk. Archives General Psychiatry, 54, 337 – 343. doi: 10.1001/archpsyc.1997.01830160065009 First citation in articleCrossrefGoogle Scholar

  • MacLeod, C., & Mathews, A. (2012). Cognitive bias modification approaches to anxiety. Annual Review of Clinical Psychology, 8, 189-217. doi: 10.1146/annurev-clinpsy-032511-143052 First citation in articleCrossrefGoogle Scholar

  • Micco, J. A., Henin, A., & Hirshfeld-Becker, D. R. (2013). Efficacy of interpretation bias modification in depressed adolescents and young adults. Cognitive Therapy and Research, 38, 1-14. doi: 10.1007/s10608-013-9578-4 First citation in articleCrossrefGoogle Scholar

  • Salemink, E., & Wiers, R. W. (2012). Adolescent threat-related interpretive bias and its modification: The moderating role of regulatory control. Behaviour Research and Therapy, 50(1), 40-46. doi: 10.1016/j.brat.2011.10.006 First citation in articleCrossrefGoogle Scholar

  • Salemink, E., & Wiers, R. W. (2014). Alcohol-related memory associations in positive and negative affect situations: Drinking motives, working memory capacity, and prospective drinking. Psychology of Addictive Behaviors, 28, 105 – 113. doi: 10.1037/a0032806 First citation in articleCrossrefGoogle Scholar

  • Saunders, J. B., Aasland, O. G., Babor, T. F., De La Fuente, J. R., & Grant, M. (1993). Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption-II. Addiction, 88, 791 – 804. doi: 10.1111/j.1360-0443.1993.tb02093.x First citation in articleCrossrefGoogle Scholar

  • Sobell, L. C., & Sobell, M. B. (1992). Timeline follow-back: A technique for assessing self-reported alcohol consumption. In R. Z. LittenJ. P. AllenEds., Measuring Alcohol Consumption: Psychosocial and Biochemical Methods, 41 – 72. Totowa, NJ: Humana Press. doi:10.1007/ 978-1-4612-0357-5_3 First citation in articleCrossrefGoogle Scholar

  • Stacy, A. W., Ames, S. L., & Grenard, J. L. (2006). Word association tests of associative memory and implicit processes: Theoretical and assessment issues. In R. W. WiersA. W. StacyEds., Handbook of Implicit Cognition and Addiction,75 – 90. Thousand Oaks, CA: Sage Publishers. First citation in articleGoogle Scholar

  • Stacy, A. W. (1995). Memory associations and ambiguous cues in models of alcohol and marijuana use. Experimental and Clinical Psychopharmacology, 3, 183 – 194. doi: 10.1037/1064-1297.3.2.183 First citation in articleCrossrefGoogle Scholar

  • Stacy, A. W. (1997). Memory activation and expectancy as prospective predictors of alcohol and marijuana use. Journal of Abnormal Psychology, 106, 61 – 73. doi: 10.1037/0021-843X.106.1.61 First citation in articleCrossrefGoogle Scholar

  • Stacy, A. W., & Wiers, R. W. (2010). Implicit Cognition and Addiction: A tool for explaining paradoxical behavior. Annual Review of Clinical Psychology, 6, 551 – 575. doi: 10.1146/annurev.clinpsy.121208.131444 First citation in articleCrossrefGoogle Scholar

  • Stroop, J. (1935). Studies of interference in serial verbal reaction. Journal of Experimental Psychology, 18, 643-662. doi: 10.1037/h0054651 First citation in articleCrossrefGoogle Scholar

  • Wiers, R. W., Bartholow, B. D., Van den Wildenberg, E., Thush, C., Engels, R. C. M. E., Sher, K. J., & Stacy, A.W. (2007). Automatic and controlled processes and the development of addictive behaviors in adolescents: A review and a model. Pharmacology, Biochemistry and Behavior, 86, 263-283. doi: 10.1016/j.pbb.2006.09.021 First citation in articleCrossrefGoogle Scholar

  • Woud, M. L., & Becker, E. S. (2014). Editorial for the special issue on cognitive bias modification techniques: An introduction to a time traveller’s tale. Cognitive Therapy and Research, 38, 83-88. doi: 10.1007/s10608-014-9605-0 First citation in articleCrossrefGoogle Scholar

  • Woud, M. L., Becker, E. S., Rinck, M., & Salemink, E. (2015). Journal of Behavior Therapy and Experimental Psychiatry, 47, 102 – 110. doi: 10.1016/j.jbtep.2014.11.012 First citation in articleCrossrefGoogle Scholar

  • Woud, M. L., Fitzgerald, D. A., Wiers, R. W., Rinck, M., & Becker, E. S. (2012). ’Getting into the spirit’: Alcohol-related interpretation bias in heavy-drinking students. Psychology of Addictive Behaviors, 26(3), 627-632. doi: 10.1037/a0029025 First citation in articleCrossrefGoogle Scholar

  • Woud, M. L., Holmes, E. A., Postma, P., Dalgleish, T., & Mackintosh, B. (2012). Ameliorating intrusive memories of distressing experiences using computerized reappraisal training. Emotion, 12, 778-784. doi: 10.1037/a0024992 First citation in articleCrossrefGoogle Scholar

  • Woud, M. L., Hutschemaekers, M. H. M., Rinck, M., & Becker, E. S. (2015). The manipulation of alcohol-related interpretation biases by means of Cognitive Bias Modification – Interpretation (CBM-I), Journal of Behavior Therapy and Experimental Psychiatry (2015). doi: 10.1016/ j.jbtep.2015.03.001 First citation in articleGoogle Scholar

  • Woud, M. L., Pawelczack, S., Rinck, M., Lindenmeyer, J., Souren, P., Wiers, R. W., & Becker, E. S. (2014). Alcohol‐related interpretation bias in alcohol‐dependent patients. Alcoholism: Clinical and Experimental Research, 38(4), 1151-1159. doi: 10.1111/acer.12334 First citation in articleCrossrefGoogle Scholar