Author:
Machulska Alla,Woud Marcella L.,Brailovskaia Julia,Margraf Jürgen,Klucken Tim
Abstract
AbstractAddictive behaviors are characterized by information processing biases, including substance-related interpretation biases. In the field of cigarette smoking, such biases have not been investigated yet. The present study thus adopted an open-ended scenario approach to measure smoking-related interpretation biases. Individuals who smoke, those who ceased smoking, and those without a smoking history (total sample N = 177) were instructed to generate spontaneous continuations for ambiguous, open-ended scenarios that described either a smoking-related or neutral context. Overall, people who smoke generated more smoking-related continuations in response to smoking-relevant situations than non-smoking individuals or people who had stopped smoking, providing evidence for a smoking-related interpretation bias. When differentiating for situation type within smoking-relevant scenarios, smoking individuals produced more smoking-related continuations for positive/social and habit/addictive situations compared to negative/affective ones. Additionally, the tendency to interpret habit/addictive situations in a smoking-related manner was positively associated with cigarette consumption and levels of nicotine dependence. Exploratory analyses indicated that other substance-related continuations were correlated with their respective behavioral counterparts (e.g., the level of self-reported alcohol or caffeine consumption). The present study is the first to demonstrate smoking-related interpretation biases in relation to current cigarette smoking. Future studies should investigate the causal role of such biases in the initiation and/or maintainance of nicotine addiction and the merit of Interpretation-Bias-Modification training to support smoking cessation.
Funder
Alexander von Humboldt-Professorship
Universität Siegen
Publisher
Springer Science and Business Media LLC
Reference63 articles.
1. Wiers, R. W. et al. Automatic and controlled processes and the development of addictive behaviors in adolescents: A review and a model. Pharmacol. Biochem. Behav. 86, 263–283 (2007).
2. Stacy, A. W. & Wiers, R. W. Implicit cognition and addiction: A tool for explaining paradoxical behavior. Annu. Rev. Clin. Psychol. 6, 551–575 (2010).
3. Rooke, S. E., Hine, D. W. & Thorsteinsson, E. B. Implicit cognition and substance use: A meta-analysis. Addict. Behav. 33, 1314–1328 (2008).
4. Gladwin, T. E. & Figner, B. “Hot” cognition and dual systems: Introduction, criticisms, and ways forward. In Neuroeconomics, judgment, and decision making (eds Wilhelms, E. A. & Reyna, V. F.) (Psychology Press, 2014).
5. Wiers, R. W., Van Dessel, P. & Köpetz, C. ABC training: A new theory-based form of cognitive-bias modification to foster automatization of alternative choices in the treatment of addiction and related disorders. Curr. Dir. Psychol. Sci. 29(5), 499–505 (2020).