Cognitive bias modification in problem and pathological gambling using a web-based approach-avoidance task: A pilot trial

2019 ◽  
Vol 272 ◽  
pp. 171-181 ◽  
Author(s):  
Charlotte E. Wittekind ◽  
Julia Bierbrodt ◽  
Daniel Lüdecke ◽  
Ansgar Feist ◽  
Iver Hand ◽  
...  
2020 ◽  
Vol 6 (3) ◽  
pp. 567-570
Author(s):  
Tanja Joan Eiler ◽  
Benjamin Haßler ◽  
Armin Grünewald ◽  
Rainer Brück ◽  
Alla Machulska ◽  
...  

AbstractAutomatic tendencies to approach addictionrelated stimuli have been linked to the development and maintenance of harmful drug use behavior. Recent studies have shown that these automatic approaches can be directly addressed and modified by cognitive bias modification (CBM). However, the training and treatment effects are rather small and compliance could be impaired by time-consuming, multiple laboratory training sessions. Here we present a mobile variant of the Approach-Avoidance Task (app-AAT), which is evaluated by a feasibility study. The app-AAT is designed to improve the efficiency of CBM training by allowing smokers to access the training at any time, and by offering the option to track consumed cigarettes. Our first run with eight participants showed that the app was rated very positively with 4.2 out of 5 points (engagement: 3.7, functionality: 4.5, aesthetics: 4.4) by using the german Mobile App Rating Scale (MARS-G).


2018 ◽  
Author(s):  
Melvyn Zhang ◽  
Jiangbo Ying ◽  
Guo Song ◽  
Daniel S S Fung ◽  
Helen Smith

BACKGROUND Cognitive biases refer to automatic attentional or interpretational tendencies, which result in individuals with addictive disorders to automatically attend to substance-related stimuli and those with anxiety disorders to attend to threatening stimuli. To date, several studies have examined the efficacy of cognitive bias modification, and meta-analytical studies have synthesized the evidence for overall efficacy. The clinical utility of cognitive bias modification interventions has previously been limited to the confines of a laboratory, but recent advances in Web technologies can change this. OBJECTIVE This scoping review aimed to determine the scope of Web-based cognitive bias interventions and highlight their effectiveness. METHODS Databases (PubMed and MEDLINE, EMBASE, PsycINFO, ScienceDirect, and Cochrane Central) were searched from inception to December 5, 2017. The following search terminologies were used: (“attention bias” OR “cognitive bias” OR “approach bias” OR “avoidance bias” OR “interpretative bias”) AND (“Internet” OR “Web” OR “Online”). The methods for this scoping review are based on the previously published protocol. For the synthesis of the evidence, a narrative synthesis was undertaken, as a meta-analysis was not appropriate, given the lack of reported effect sizes and the heterogeneity in the outcomes reported. RESULTS Of the 2674 unique articles identified, we identified 22 randomized controlled studies that met our inclusion criteria: alcohol use disorder (n=2), tobacco use disorder (n=2), depressive disorder (n=3), anxiety and depressive symptoms in adolescents (n=3), obsessive-compulsive disorder (OCD; n=2), social anxiety disorder (n=9), and anxiety disorder (n=1). The sample sizes of these studies ranged from 16 to 434 participants. There is preliminary evidence to suggest that Web-based interventions could reduce biases among adolescents with heightened symptoms of anxiety and depression and among individuals with OCD. CONCLUSIONS This is the first scoping review that mapped out the scope of cognitive bias modification interventions for psychiatric disorders. Web-based interventions have been applied predominantly for social anxiety and addictive disorders. Larger cohorts must be used in future studies to better determine the effectiveness of Web-based cognitive bias interventions.


10.2196/11841 ◽  
2019 ◽  
Vol 6 (10) ◽  
pp. e11841 ◽  
Author(s):  
Melvyn Zhang ◽  
Jiangbo Ying ◽  
Guo Song ◽  
Daniel S S Fung ◽  
Helen Smith

Background Cognitive biases refer to automatic attentional or interpretational tendencies, which result in individuals with addictive disorders to automatically attend to substance-related stimuli and those with anxiety disorders to attend to threatening stimuli. To date, several studies have examined the efficacy of cognitive bias modification, and meta-analytical studies have synthesized the evidence for overall efficacy. The clinical utility of cognitive bias modification interventions has previously been limited to the confines of a laboratory, but recent advances in Web technologies can change this. Objective This scoping review aimed to determine the scope of Web-based cognitive bias interventions and highlight their effectiveness. Methods Databases (PubMed and MEDLINE, EMBASE, PsycINFO, ScienceDirect, and Cochrane Central) were searched from inception to December 5, 2017. The following search terminologies were used: (“attention bias” OR “cognitive bias” OR “approach bias” OR “avoidance bias” OR “interpretative bias”) AND (“Internet” OR “Web” OR “Online”). The methods for this scoping review are based on the previously published protocol. For the synthesis of the evidence, a narrative synthesis was undertaken, as a meta-analysis was not appropriate, given the lack of reported effect sizes and the heterogeneity in the outcomes reported. Results Of the 2674 unique articles identified, we identified 22 randomized controlled studies that met our inclusion criteria: alcohol use disorder (n=2), tobacco use disorder (n=2), depressive disorder (n=3), anxiety and depressive symptoms in adolescents (n=3), obsessive-compulsive disorder (OCD; n=2), social anxiety disorder (n=9), and anxiety disorder (n=1). The sample sizes of these studies ranged from 16 to 434 participants. There is preliminary evidence to suggest that Web-based interventions could reduce biases among adolescents with heightened symptoms of anxiety and depression and among individuals with OCD. Conclusions This is the first scoping review that mapped out the scope of cognitive bias modification interventions for psychiatric disorders. Web-based interventions have been applied predominantly for social anxiety and addictive disorders. Larger cohorts must be used in future studies to better determine the effectiveness of Web-based cognitive bias interventions. International Registered Report Identifier (IRRID) RR1-10.2196/10427


2018 ◽  
Author(s):  
Melvyn Zhang ◽  
Jiangbo Ying ◽  
Guo Song ◽  
Daniel SS Fung ◽  
Helen Smith

UNSTRUCTURED Background: Traditional psychological therapies focus mainly on modification of individuals’ conscious decision-making process. Unconscious processes such as cognitive biases have been found to be accountable for various psychiatric psychopathologies. The advances in technologies have transformed how bias modification programs are being delivered. Objective: We seek to synthesize the current evidence of web-based cognitive bias modification for psychiatric disorders, by identifying the range of conditions targeted and their current efficacy. We wish to determine if web-based attention bias modification is as efficacious as compared to conventional methods. Methods and analysis: A systematic review will be conducted, and all studies types will be included. There will not be any restrictions on the participants included in the study. A search will be conducted on the respective databases up till 2017. Selection of studies will be by the Preferred Reporting Items for Systematic Review and Meta-analyses (PRISMA-P) guidelines. Quality assessment of the included studies will be assessed using the Cochrane Risk of Bias tool (for randomized trials) and the Newcastle-Ottawa scale for other study designs. A narrative synthesises of the identified articles will be conducted. A meta-analysis will be considered, only if there are sufficient articles in a domain for statistical analysis. Ethical approval for the current protocol and the planned systematic review was not required. Results: Results synthesized would be disseminated using conference presentation or published works in peer-reviewed journals. Conclusions: This review is of importance given how technology transformed the delivery of conventional therapies. The findings from this review will provide guidance for future research involving technology and cognitive bias modification interventions. Registration details: International Prospective Register for Systematic Reviews (PROSPERO) number 2017 CRD42017074754


2015 ◽  
Vol 3 (1) ◽  
pp. 91-111 ◽  
Author(s):  
Simon E. Blackwell ◽  
Michael Browning ◽  
Andrew Mathews ◽  
Arnaud Pictet ◽  
James Welch ◽  
...  

Depression is a global health problem requiring treatment innovation. Targeting neglected cognitive aspects may provide a useful route. We tested a cognitive-training paradigm using positive mental imagery (imagery cognitive bias modification, imagery CBM), developed via experimental psychopathology studies, in a randomized controlled trial. Training was delivered via the Internet to 150 individuals with current major depression. Unexpectedly, there was no significant advantage for imagery CBM compared with a closely matched control for depression symptoms as a whole in the full sample. In exploratory analyses, compared with the control, imagery CBM significantly improved anhedonia over the intervention and improved depression symptoms as a whole for those participants with fewer than five episodes of depression and those who engaged to a threshold level of imagery. Results suggest avenues for improving imagery CBM to inform low-intensity treatment tools for depression. Anhedonia may be a useful treatment target for future work.


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