Literature DB >> 29055971

Luck, come here! Automatic approach tendencies toward gambling cues in moderate- to high-risk gamblers.

Marilisa Boffo1, Ruby Smits1, Joshua P Salmon2, Megan E Cowie2, David T H A de Jong1, Elske Salemink1, Pam Collins2, Sherry H Stewart2,3,4, Reinout W Wiers1.   

Abstract

BACKGROUND AND AIMS: Similar to substance addictions, reward-related cognitive motivational processes, such as selective attention and positive memory biases, have been found in disordered gambling. Despite findings that individuals with substance use problems are biased to approach substance-related cues automatically, no study has yet focused on automatic approach tendencies for motivationally salient gambling cues in problem gamblers. We tested if moderate- to high-risk gamblers show a gambling approach bias and whether this bias was related prospectively to gambling behaviour and problems.
DESIGN: Cross-sectional assessment study evaluating the concurrent and longitudinal correlates of gambling approach bias in moderate- to high-risk gamblers compared with non-problem gamblers.
SETTING: Online study throughout the Netherlands. PARTICIPANTS: Twenty-six non-treatment-seeking moderate- to high-risk gamblers and 26 non-problem gamblers community-recruited via the internet. MEASUREMENTS: Two online assessment sessions 6 months apart, including self-report measures of gambling problems and behaviour (frequency, duration and expenditure) and the gambling approach avoidance task, with stimuli tailored to individual gambling habits.
FINDINGS: Relative to non-problem gamblers, moderate- to high-risk gamblers revealed a stronger approach bias towards gambling-related stimuli than neutral stimuli (P = 0.03). Gambling approach bias was correlated positively with past-month gambling expenditure at baseline (P = 0.03) and with monthly frequency of gambling at follow-up (P = 0.02). In multiple hierarchical regressions, baseline gambling approach bias predicted monthly frequency positively (P = 0.03) and total duration of gambling episodes (P = 0.01) 6 months later, but not gambling problems or expenditure.
CONCLUSIONS: In the Netherlands, relative to non-problem gamblers, moderate- to high-risk gamblers appear to have a stronger tendency to approach rather than to avoid gambling-related pictures compared with neutral ones. This gambling approach bias is associated concurrently with past-month gambling expenditure and duration of gambling and has been found to predict persistence in gambling behaviour over time.
© 2017 Society for the Study of Addiction.

Entities:  

Keywords:  Action tendency; approach bias; approach-avoidance task; dual-process model; gambling behaviour; gambling problems

Mesh:

Year:  2017        PMID: 29055971     DOI: 10.1111/add.14071

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  6 in total

Review 1.  Let's Open the Decision-Making Umbrella: A Framework for Conceptualizing and Assessing Features of Impaired Decision Making in Addiction.

Authors:  Lucien Rochat; Pierre Maurage; Alexandre Heeren; Joël Billieux
Journal:  Neuropsychol Rev       Date:  2018-10-06       Impact factor: 7.444

2.  Can cognitive bias modification simultaneously target two behaviors? Approach bias retraining for alcohol and condom use.

Authors:  Austin M Hahn; Raluca M Simons; Jeffrey S Simons; Reinout W Wiers; Logan E Welker
Journal:  Clin Psychol Sci       Date:  2019-04-02

3.  Codesigning a mobile gamified attention bias modification intervention: research protocol.

Authors:  Melvyn Wb Zhang; Sandor Heng; Guo Song; Daniel Shuen Sheng Fung; Helen Smith
Journal:  BMJ Open       Date:  2019-10-16       Impact factor: 2.692

4.  Evaluating the role of Approach-Avoidance Training on action-tendencies in individuals with skin-picking disorder: A preliminary randomized experiment.

Authors:  Abel S Mathew; Madeline A Rech; Han-Joo Lee
Journal:  J Behav Addict       Date:  2021-08-13       Impact factor: 6.756

5.  The roles of implicit approach motivation and explicit reward in excessive and problematic use of social networking sites.

Authors:  Michael Wadsley; Niklas Ihssen
Journal:  PLoS One       Date:  2022-03-16       Impact factor: 3.240

Review 6.  Methods to split cognitive task data for estimating split-half reliability: A comprehensive review and systematic assessment.

Authors:  Thomas Pronk; Dylan Molenaar; Reinout W Wiers; Jaap Murre
Journal:  Psychon Bull Rev       Date:  2021-06-07
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.