Search Results
-11? Considerations regarding the death of a hospitalized patient that was reported to have occurred while a care provider was gaming . Journal of Behavioral Addictions , 7 ( 2 ), 206 – 207 . https://doi.org/10
International Statistical Classification of Diseases and Related Health Problems 10th Revision do not consider CB a disorder due to insufficient empirical research in this field. Nevertheless, researchers continue to define CB as a behavioral addiction ( Maraz
identify the RC domains characteristic of each type of addiction (behavioral addictions vs. substance addictions). The findings have a practical application for therapy in which raising the levels of RC in individuals with a GD might decrease the
( George & Murali, 2005 ). In sum, gambling disorder as a behavioral addiction represents a significant problem with debilitating consequences. Veterans and Gambling Problem gambling and its correlates represent a significant
NSSI as a behavioral addiction Among adolescents with NSSI, there are two different subpopulations of NSSI, those engaging in repetitive NSSI (R–NSSI) and those engaging in occasional NSSI (O–NSSI), which differ in frequency, motivation, and
Disorders” the now called “Gambling Disorder” yet is the only recognized behavioral addiction. However, within Section III of DSM-5, Internet gaming disorder (IGD) is first mentioned as a condition warranting more clinical research and experience before it
Az egészségromlás és az egészségmagatartás-változás kvalitatív vizsgálata munkafüggők körében
Deterioration of health and change in health behavior among individuals at risk of work addiction: a qualitative study
, M . D . ( 2019 ). Beyond the myths about work addiction: Toward a consensus on definition and trajectories for future studies on problematic overworking . Journal of Behavioral Addictions , 8 ( 1 ), 7 – 15 . 10
Background and aims
Gambling disorder-related illegal acts (GDRIA) are often crucial events for gamblers and/or their entourage. This study was designed to determine the predictive factors of GDRIA.
Methods
Participants were 372 gamblers reporting at least three DSM-IV-TR (American Psychiatric Association, 2000) criteria. They were assessed on the basis of sociodemographic characteristics, gambling-related characteristics, their personality profile, and psychiatric comorbidities. A multiple logistic regression was performed to identify the relevant predictors of GDRIA and their relative contribution to the prediction of the presence of GDRIA.
Results
Multivariate analysis revealed a higher South Oaks Gambling Scale score, comorbid addictive disorders, and a lower level of income as GDRIA predictors.
Discussion and conclusion
An original finding of this study was that the comorbid addictive disorder effect might be mediated by a disinhibiting effect of stimulant substances on GDRIA. Further studies are necessary to replicate these results, especially in a longitudinal design, and to explore specific therapeutic interventions.
Erratum: Journal of Behavioral Addictions 9 (3) (2020) 664–675 DOI: 10.1556/2006.2020.00068 The name of co-author, Roman Gabrhelík was incorrectly published (as Roman Gabhelík) in the original article. The publisher apologises for this error.
Abstract
Background and aims: With the growing number of virtual sites and easy access to them, as well as increasing popularity of the game, online poker could foster addiction. The aim of the current inquiry was to gauge susceptibility to behavioural addiction in online and traditional poker players. Methods: Ninety-six online poker players and 35 traditional players were tested on the basis of the “Components model” for addiction (Griffiths, 2005). Using a Likert scale, ratings on six components were examined: salience, conflict, mood modification, withdrawal symptoms, tolerance, and relapse. Results: The traditional players scored higher than online players on measures of conflict, mood modification, and relapse. While none of the traditional players were at risk, the majority of them (94.7%) were symptomatic. Two online players were at risk, 67.7% symptomatic and 30.2% asymptomatic. No significant correlations have emerged between the amount and history of poker playing and the addiction scores. Conclusions: The current findings suggest that most traditional players are prone to behavioural addiction while the majority of the online players are also symptomatic.
