Associations between recovery capital, spirituality, and DSM–5 symptom improvement in gambling disorder.

2020 ◽  
Vol 34 (1) ◽  
pp. 209-217 ◽  
Author(s):  
Belle Gavriel-Fried ◽  
Tania Moretta ◽  
Marc N. Potenza
2015 ◽  
Vol 4 (4) ◽  
pp. 226-235 ◽  
Author(s):  
Pawel Sleczka ◽  
Barbara Braun ◽  
Daniela Piontek ◽  
Gerhard Bühringer ◽  
Ludwig Kraus

2021 ◽  
Author(s):  
Brad W. Brazeau ◽  
David C. Hodgins

Abstract The National Opinion Research Center (NORC) Diagnostic Screen for Gambling Problems (NODS) is one of the most used outcome measures in gambling intervention trials. However, a screen based on DSM-5 gambling disorder criteria has yet to be developed or validated since the DSM-5 release in 2013. This omission is possibly because the criteria for gambling disorder only underwent minor changes from DSM-IV to DSM-5: the diagnostic threshold was reduced from 5 to 4 criteria, and the illegal activity criterion was removed. Validation of a measure that captures these changes is still warranted. The current study examined the psychometric properties of an online self-report past-year adaptation of the NODS based on DSM-5 diagnostic criteria for gambling disorder. Additionally, the new NODS was evaluated for how well it identifies ICD-10 pathological gambling. A diverse sample of participants (N = 959) was crowdsourced via Amazon’s TurkPrime. Internal consistency and one-week test-retest reliability were good. High correlations (r = .74–.77) with other measures of gambling problem severity were observed in addition to moderate correlations (r = .21–.36) with related but distinct constructs (e.g., gambling expenditures, time spent gambling, other addictive behaviours). All nine of the DSM-5 criteria loaded positively on one principal component, which accounted for 40% of the variance. Classification accuracy (i.e., sensitivity, specificity, predictive power) was generally very good with respect to the PGSI and ICD-10 diagnostic criteria. Future validation studies are encouraged to establish a gold standard measurement of gambling problem severity.


2019 ◽  
Vol 10 ◽  
Author(s):  
Susana Jiménez-Murcia ◽  
Roser Granero ◽  
Fernando Fernández-Aranda ◽  
Anne Sauvaget ◽  
Andreas Fransson ◽  
...  

2014 ◽  
Vol 31 (2) ◽  
pp. 221-224 ◽  
Author(s):  
Sari Castrén ◽  
Anne H Salonen ◽  
Hannu Alho ◽  
Tuuli Lahti
Keyword(s):  

Author(s):  
Maris Catania ◽  
Mark D. Griffiths

AbstractThe emergence of online gambling has raised concerns about potential gambling-related harm, and various measures have been implemented in order to minimise harm such as identifying and/or predicting potential markers of harm. The present study explored how the nine DSM-5 criteria for gambling disorder can be operationalised in terms of actual online gambling behaviour using account-based gambling tracking data. The authors were given access to an anonymised sample of 982 gamblers registered with an online gambling operator. The data collected for these gamblers consisted of their first three months’ gambling activity. The data points included customer service contacts, number of hours spent gambling, number of active days, deposit amounts and frequency, the number of times a responsible gambling tool (such as deposit limit) were removed by the gamblers themselves, number of cancelled withdrawals, number of third-party requests, number of registered credit cards, and frequency of requesting bonuses through customer service (i.e., the number of instances of ‘bonus begging’). Using these metrics, most of the DSM-5 criteria for gambling disorder can be operationalized (at least to some extent) using actual transaction data. These metrics were then applied to a sample of online gamblers, and through cluster analysis four types of online gambler based on these metrics (non-problem gamblers, at-risk gamblers, financially vulnerable gamblers, and emotionally vulnerable gamblers) were identified. The present study is the first to examine the application of the DSM-5 criteria of gambling disorder to actual gambling behaviour using online gambling transaction data and suggests ways that gambling operators could identify problem gamblers online without the need for self-report diagnostic screening instruments.


2015 ◽  
Vol 32 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Seth S. Himelhoch ◽  
Haley Miles-McLean ◽  
Deborah Medoff ◽  
Julie Kreyenbuhl ◽  
Loreen Rugle ◽  
...  

2020 ◽  
Vol 11 ◽  
Author(s):  
Flora Colledge ◽  
Robyn Cody ◽  
Ursula G. Buchner ◽  
André Schmidt ◽  
Uwe Pühse ◽  
...  

Background and Aims: While a number of studies have reported on individuals who exercise excessively, and feel unable to stop despite negative consequences, there is still insufficient evidence to categorize exercise as an addictive disorder. The aim of this meta-review is to summarize the published articles and to compile a list of symptoms reported in the qualitative literature in conjunction with excessive exercise. This list is compared with the DSM-5 criteria for gambling disorder, and initial diagnostic criteria for exercise addiction are suggested.Methods: The databases MEDLINE, Web of Science and PsycInfo were searched for qualitative studies or case reports, in which excessive exercise was the main focus. All symptoms reported in conjunction with excessive exercise were extracted from each study and documented. Symptoms were also compared to the diagnostic criteria for gambling disorder.Results: Seventeen studies were included in the review, yielding 56 distinct symptoms. The Critical Appraisal Skills Program tool showed that the majority of the studies were of acceptable quality. Exercise-related symptoms corresponded with seven of the nine DSM-5 criteria for gambling disorder. The ten suggested criteria for exercise addiction are: increasing volume, negative affect, inability to reduce, preoccupation, exercise as coping, continuation despite illness/injury, minimization, jeopardized relationships, continuation despite recognizing consequences, guilt when exercise is missed.Discussion: Our results suggest that excessive exercise may constitute a behavioral addiction, based on the criteria of the DSM-5.Conclusions: Subsequent studies should aim to systematically classify symptoms of excessive exercise; in addition, it should be noted that basic questionnaires may be need to be supplemented with detailed clinical examinations.


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