The Metacognitions about Gambling Questionnaire: Development and psychometric properties
Open accessAbstract
Recent research has suggested that metacognitions may play a role across the spectrum of addictive behaviours. The goal of our studies was to develop the first self-report scale of metacognitions about gambling. We conducted three studies with one community (n = 165) and two clinical (n = 110; n = 87) samples to test the structure and psychometric properties of the Metacognitions about Gambling Questionnaire and examined its capacity to prospectively predict severity of gambling. Findings supported a two factor solution consisting of positive and negative metacognitions about gambling. Internal consistency, predictive and divergent validity were acceptable. All the factors of the Metacognitions about Gambling Questionnaire correlated positively with gambling severity. Regression analyses showed that negative metacognitions about gambling were significantly associated to gambling severity over and above negative affect and gambling-specific cognitive distortions. Finally only gambling severity and negative metacognitions about gambling were significant prospective predictors of gambling severity as measured three months later. The Metacognitions about Gambling Questionnaire was shown to possess good psychometric properties, as well as predictive and divergent validity within the populations that were tested.
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Research has shown that metacognitive beliefs about one's thinking and self-regulation influence problematic Internet use and social media addiction.
“Research has shown that metacognitive beliefs about one’s thinking and self-regulation influence problematic Internet use and social media addiction (Casale, Rugai, & Fioravanti, 2018; Caselli et al., 2018; Spada, Langston, Nikĉević, & Moneta, 2008).”
From Social media addiction: Its impact, mediation, and intervention (2019) · cites this paper as Caselli et al., 2018
The Introduction (p. 4) describes metacognitive beliefs about cognitive regulation in addictive behaviours, and the Discussion (pp. 16–17) links gambling-related metacognitions to subsequent gambling severity. The paper does not report findings on problematic Internet use or social media addiction, so it does not support the claim for those specific behaviours. (LLM, conf=0.84)
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Cites
Metacognitive therapy for anxiety and depression
Veeraraghavan, V. (2009) · Anxiety, Stress & Coping · doi:10.1080/10615800902833770 · Cited by 1,165 · see citing works
Modelling cognition in emotional disorder: the S-REF model
Wells, A., & Matthews, G. (1996) · Behaviour Research and Therapy · doi:10.1016/s0005-7967(96)00050-2 · Cited by 1,067 · see citing works
Gambling and Related Mental Disorders: A Public Health Analysis
Shaffer, H. J., & Korn, D. A. (2002) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.23.100901.140532 · Cited by 538 · see citing works
Psychological therapies for pathological and problem gambling
Cowlishaw, S., Merkouris, S., Dowling, N., Anderson, C., Jackson, A., & Thomas, S. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd008937.pub2 · Cited by 321 · see citing works
The gambling symptom assessment scale (G-SAS): a reliability and validity study
Kim, S. W., Grant, J. E., Potenza, M. N., Blanco, C., & Hollander, E. (2009) · Psychiatry Research · doi:10.1016/j.psychres.2007.11.008 · Cited by 257 · see citing works
Advances in metacognitive therapy
Wells, A. (2013) · International Journal of Cognitive Therapy · doi:10.1521/ijct.2013.6.2.186 · Cited by 204 · cited 5× · see citing works
“…Giustina, Rolandi, Fernie and Caselli, 2015) and add to the argument for applying metacognitive theory to the understanding of gambling disorder in a similar way to what has been employed for other addictive behaviours (Spada, Caselli, Nikčević and Wells, 2015; Spada, Caselli and Wells, 2013).”
BackgroundResultInfluentialAssessing and treating problem gambling: Empirical status and promising trends
Toneatto, T., & Millar, G. (2004) · The Canadian Journal of Psychiatry · doi:10.1177/070674370404900803 · Cited by 116 · see citing works
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Social media addiction: Its impact, mediation, and intervention
Hou, Y., Xiong, D., Jiang, T., Song, L., & Wang, Q. (2019) · Cyberpsychology: Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2019-1-4 · Cited by 659 · see citing works
Casale, S., Rugai, L., & Fioravanti, G. (2018) · Addictive Behaviors · doi:10.1016/j.addbeh.2018.05.020 · Cited by 219 · see citing works
- Authors
- Caselli, G., Fernie, B., Canfora, F., Mascolo, C., Ferrari, A., Antonioni, M., Giustina, L., Donato, G., Marcotriggiani, A., Bertani, A., Altieri, A., Pellegrini, E., & Spada, M. M.
- Affiliations
- London South Bank University (GB)
- King's College London (GB)
- Corresponding author
- Caselli, Gabriele
- Venue
- Psychiatry Research
- Publisher
- Elsevier BV
- Published
- 2018-03
- Volume
- 261
- Pages
- 367-374
- ISSN
- 0165-1781 (ISSN-L)
- OpenAlex
- W2784282361
- Cited by
- 49
- References
- 7
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 7 · 2023: 6 · 2022: 6 · 2021: 8 · 2020: 7 · 2019: 6 · 2018: 3
- FWCI
- 6.69
- Type
- journal article
- Language
- en
- Open access
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Psychiatry Research (publishedVersion)
- PubMed (publishedVersion)
- Research Open (London South Bank University) (acceptedVersion, cc-by-nc-nd)
- Research Open (London South Bank University) (acceptedVersion)
- Research Portal (King's College London) (submittedVersion, cc-by-nc-nd)
- Funders
- South London and Maudsley NHS Foundation Trust
- National Institute for Health and Care Research
- King's College London
- Topics
- Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Clinical Psychology › Obsessive-Compulsive Spectrum Disorders
- Keywords
- metacognition, gambling, gambling severity, gambling addiction, self-report scale development, psychometric properties, cognitive distortions, negative affect, prospective prediction
- MeSH terms
- Metacognition, Adolescent, Adult, Female, Gambling, Humans, Male, Middle Aged, Prospective Studies, Psychometrics, Surveys and Questionnaires, Regression Analysis, Reproducibility of Results
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