Mobile phone-based approach bias retraining for smokers seeking abstinence: a randomized-controlled study Article Swipe
Alla Machulska
,
Tanja Joan Eiler
,
Benjamin Haßler
,
Kristian Kleinke
,
Rainer Brück
,
Katharina Jahn
,
Björn Niehaves
,
Tim Klucken
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1007/s11469-023-01107-w
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1007/s11469-023-01107-w
Approach bias modification (ApBM) has shown promise in addiction treatment, but effects are small and ecological validity suffers from completing trainings in the laboratory. Providing app-based trainings via mobile phones could increase training efficacy. One-hundred-and-thirty-one smokers seeking abstinence attended a smoking cessation intervention and were thereafter randomized to one of three conditions: (a) app-based ApBM-training; (b) app-based sham training; (c) no training. App trainings were performed on 14 consecutive days at home. Behavioral and self-report data was assessed at pretest, posttest, and a 6-week follow-up. App-based ApBM led to stronger reductions in cigarette smoking as compared to no training. However, both training variants led to stronger declines in nicotine dependence and the sham training was superior in reducing alcohol consumption. Although approach biases for positive cues increased following ApBM training, this effect did not mediate treatment outcome. Other smoking-related cognitive biases did not change after training. Our results can inform future research in the optimization and advancement of ApBM treatment for addiction. Trial registration Registered with Current Controlled Trials: study ID ISRCTN15690771. Registered on 20 November 2018; http://www.isrctn.com/ISRCTN15690771 .
Related Topics
Concepts
Abstinence
Randomized controlled trial
Smoking cessation
Addiction
Health psychology
mHealth
Cognitive bias modification
Retraining
Clinical psychology
Medicine
Psychology
Physical therapy
Intervention (counseling)
Cognitive training
Nicotine
Cognition
Public health
Psychiatry
Cognitive bias
Nursing
Internal medicine
Psychological intervention
Pathology
International trade
Business
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s11469-023-01107-w
- https://link.springer.com/content/pdf/10.1007/s11469-023-01107-w.pdf
- OA Status
- hybrid
- Cited By
- 8
- References
- 67
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386449747
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4386449747Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/s11469-023-01107-wDigital Object Identifier
- Title
-
Mobile phone-based approach bias retraining for smokers seeking abstinence: a randomized-controlled studyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-09-05Full publication date if available
- Authors
-
Alla Machulska, Tanja Joan Eiler, Benjamin Haßler, Kristian Kleinke, Rainer Brück, Katharina Jahn, Björn Niehaves, Tim KluckenList of authors in order
- Landing page
-
https://doi.org/10.1007/s11469-023-01107-wPublisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007/s11469-023-01107-w.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://link.springer.com/content/pdf/10.1007/s11469-023-01107-w.pdfDirect OA link when available
- Concepts
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Abstinence, Randomized controlled trial, Smoking cessation, Addiction, Health psychology, mHealth, Cognitive bias modification, Retraining, Clinical psychology, Medicine, Psychology, Physical therapy, Intervention (counseling), Cognitive training, Nicotine, Cognition, Public health, Psychiatry, Cognitive bias, Nursing, Internal medicine, Psychological intervention, Pathology, International trade, BusinessTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 5, 2024: 3Per-year citation counts (last 5 years)
- References (count)
-
67Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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