"Effectiveness of a mindfulness-based cognitive therapy group intervention in reducing gambling-related craving"

Ventola, Alejandra Rebeca Melero; Bernabé, José Ramón Yela; Crego, Antonio; Ortés-Rodríguez, Maria

doi:10.24193/jebp.2020.1.7

Cited by 5 publications

(13 citation statements)

References 22 publications

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“…Results showed a significant decrease in gambling urges within the treatment group from pre- to postassessment. Melero Ventola et al (2020) described similar findings by reporting significant reductions in craving from before to after a mindfulness-based cognitive therapy among individuals with gambling disorder in a noncontrolled design. In a CBT-resistant patient with gambling disorder, von Hammerstein et al (2018) found promising effects with regard to craving reductions during combined mindfulness-based relapse therapy.…”

Section: Resultssupporting

confidence: 53%

“…The biggest reductions in craving levels after mindfulness intervention were reported after mindfulness-based cognitive therapy (Melero Ventola et al, 2020) and MECBT (Toneatto et al, 2014) for gambling, according to our effect size measures. These results support the efficacy of mindfulness techniques in the context of gambling disorder and align with reports on the effects that mindfulness techniques have on substance cravings (for an overview, see Schwebel et al, 2020).…”

Section: Discussionmentioning

confidence: 74%

“…Almost all experimental studies and all case studies found improvements with regard to symptom severity from immediately before to immediately after intervention, either in within-subject comparisons (Choi et al, 2020; de Lisle et al, 2011; Ke & Shih-Tsung, 2019; Li et al, 2018, 2017; McIntosh et al, 2016; Toneatto et al, 2014; Van Gordon et al, 2016; von Hammerstein et al, 2018; Yao et al, 2017) or in postintervention group comparisons (Quinones & Griffiths, 2019), except for van der Tempel et al (2020) and Lan et al (2018). Shead et al (2020) and Melero Ventola et al (2020) did not assess changes in symptom severity. Lan et al (2018) assessed no psychological processes but only symptom severity.…”

Section: Resultsmentioning

confidence: 99%

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A preregistered, systematic review considering mindfulness-based interventions and neurofeedback for targeting affective and cognitive processes in behavioral addictions.

Brandtner¹,

Antons²,

King³

et al. 2022

Clinical Psychology: Science and Practice

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Psychological core processes that underpin disorders due to addictive behaviors, including craving, inhibitory control, maladaptive decision-making, and cognitive biases, are important factors to target and modify in interventions. Mindfulness-based and neurofeedback techniques have been particularly promising interventions. The aim of the present systematic review (PROSPERO ID: CRD42020200113) was to evaluate the research evidence on their effectiveness for behavioral addictions. Empirical intervention studies in the realm of nonsubstance addictive behaviors fulfilled the inclusion criteria, which led to 15 studies and 297 participants being included in this review among PubMed, Scopus, and Web of Knowledge. Results suggest that mindfulness-based interventions are effective in reducing mental distress and craving reactions. Reductions in craving levels were reported in four of six studies with biggest effects for mindfulness-based cognitive therapy and mindfulness-enhanced cognitive behavioral therapy. Successful reductions in mental distress were identified in five of seven studies that used diverse mindfulness-based techniques. However, no more than one study on mindfulness-based interventions reporting improvements in self-control, inhibitory control, maladaptive decision-making, and cognitive biases could be identified. No research could be found on neurofeedback. This review highlights the potential of mindfulness interventions for these disorders, and the specific mechanisms of therapeutic change warrant further investigation.

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Section: Resultssupporting

confidence: 53%

Section: Discussionmentioning

confidence: 74%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

A preregistered, systematic review considering mindfulness-based interventions and neurofeedback for targeting affective and cognitive processes in behavioral addictions.

Brandtner¹,

Antons²,

King³

et al. 2022

Clinical Psychology: Science and Practice

View full text Add to dashboard Cite

show abstract

“…In addition, the symptoms of cognitive distortion can also be controlled with the Schema Therapy approach as demonstrated by Navidi Poshtiri et al (2022) on nursing and midwifery students with health anxiety, Malik et al (2021) on young adults with borderline personality features and Pourpashang and Mousavi (2021) on clients under substance dependence treatment. Besides, there are also studies that show the effectiveness of Mindfulness-Based Cognitive Therapy (MBCT) in treating cognitive distortions such as studies on emotional exhaustion in women with multiple sclerosis (Dizaj et al, 2022), MBCT intervention as a population-level strategy for anxiety and depression (Burgess et al, 2021), and also on reducing gambling-related craving (Melero Ventola et al, 2020)…”

Section: Literature Reviewmentioning

confidence: 99%

Global Research Pattern of Cognitive Distortion: A Bibliometric Analysis

Zaiden,

Mahfar,

Senin

et al. 2023

SAGE Open

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Research on the concept of cognitive distortion has increased from year to year, especially in the areas of mental health and emotional disorders such as depression, anxiety disorder, stress disorder, and others. Therefore, it is necessary to understand the topic of interest and establish a network of cooperation to expand research toward integrated efforts. Bibliometric analysis was performed using Bibliometrix and Biblioshiny software packages on academic articles indexed on the Scopus and Web of Science (WoS) databases. Search criteria were applied, initially resulting in a total of 1,834 articles published between 1950 and 2021. The study pattern focuses on publication output, affiliated countries, co-authors, and the occurrence of author keywords. The findings of this study provide an overview of notable topics in cognitive distortion analytics through a quantitative analysis featuring tables, graphs, and maps. It also identifies the key performance indicators to produce articles and their citations. Studies show an increase in this field globally, especially since 2008 onwards. The data reveals that publications from the United States, United Kingdom, and Canada accounted for more than 50% of total number of publications in this field. This study indicates a global research pattern related to cognitive distortion, which may be useful for researchers, individuals, or policymakers to harness the existing potential and create opportunities for future research development.

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“…Patients with IA and anxiety disorder obtained alleviation for their addiction and anxiety symptoms after 10 weeks of cognitive-behavioral therapy with breathing exercises [33]. Mindful breathing has also been employed to assist gamers with IGD [34] and individuals with a gambling addiction [35] to relieve their desire to play. For physiological regulation, respiration is related to the vagus nerve, which modulates sympathetic and parasympathetic nervous system activities.…”

Section: Physiological Response Of Iamentioning

confidence: 99%

Extraction of Psychological Symptoms and Instantaneous Respiratory Frequency as Indicators of Internet Addiction Using Rule-Based Machine Learning

Chi¹,

Chen²,

Hsiao³

2021

Adv. sci. technol. eng. syst. j.

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Internet addiction (IA) has adverse effects on psychophysiological responses, interpersonal relationships, and academic and occupational performance. IA detection has received increasing attention. Although questionnaires enable long-term assessment (over 6 months) and physiological measurements to aid the short-term evaluation (over 2 min) of IA, the lack of algorithms results in an inability to detect IA in real time. A computer-aided system can address this problem. This study used the extended classifier system with continuous realcoded variables (XCSR) for rule-based machine learning to classify IA risk. Chen Internet Addiction Scale (CIAS) items were verified and instantaneous respiratory features of IA were extracted with "don't care" attribute values. The result demonstrated that the XCSR model achieved more than 95% classification accuracy. Using the "don't care" attribute values, the CIAS items were reduced from 26 to 19, and the instantaneous frequency (IF) of respiratory muscle contractions, respiratory wall movements, and body movements were extracted as IA-related features. These findings suggested that the XCSR model is a potentially useful system for detecting IA. The modified 19-item CIAS and IF of respiration can be adopted to assist in the real-time detection of IA and explore the psychophysiological developments of IA users. In future studies, more samples must be collected to validate these findings and instantaneous physiological responses investigated with different window sizes while participants with IA engage in active online gameplay.

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"Effectiveness of a mindfulness-based cognitive therapy group intervention in reducing gambling-related craving"

Cited by 5 publications

References 22 publications

A preregistered, systematic review considering mindfulness-based interventions and neurofeedback for targeting affective and cognitive processes in behavioral addictions.

A preregistered, systematic review considering mindfulness-based interventions and neurofeedback for targeting affective and cognitive processes in behavioral addictions.

Global Research Pattern of Cognitive Distortion: A Bibliometric Analysis

Extraction of Psychological Symptoms and Instantaneous Respiratory Frequency as Indicators of Internet Addiction Using Rule-Based Machine Learning

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