JOURNAL ARTICLE
Recovery From Nicotine Addiction: A Diffusion Model Decomposition of Value-Based Decision-Making in Current Smokers and Ex-smokers.
Published In: Nicotine & Tobacco Research, 2023, v. 25, n. 7. P. 1269 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Copeland, Amber; Stafford, Tom; Field, Matt 3 of 3
Abstract
This article investigates the cognitive mechanisms underlying recovery from nicotine addiction by examining value-based decision-making (VBDM) processes in current daily smokers and ex-smokers. Using a drift-diffusion model (DDM) applied to reaction time and accuracy data from a forced-choice task involving tobacco-related and tobacco-unrelated images, the study found that ex-smokers exhibit significantly higher response thresholds—indicating greater decision caution—when making tobacco-related choices compared to current smokers, while evidence accumulation rates did not differ between groups. These findings suggest that increased cautiousness in tobacco-related decision-making may characterize recovery from nicotine addiction and represent a potential target for treatment interventions. The study acknowledges limitations including its cross-sectional design, reliance on self-reported smoking status, and the use of non-appetitive tobacco-unrelated stimuli, recommending longitudinal and mixed-method approaches for future research.
Additional Information
- Source:Nicotine & Tobacco Research. 2023/07, Vol. 25, Issue 7, p1269
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2023
- ISSN:1462-2203
- DOI:10.1093/ntr/ntad040
- Accession Number:164219294
- Copyright Statement:Copyright of Nicotine & Tobacco Research is the property of Oxford University Press / USA 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.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.