The Risk of Online Gambling: a Study of Gambling Disorder Prevalence Rates in Spain

Chóliz, Mariano; Marcos, Marta; Lázaro-Mateo, Juan

doi:10.1007/s11469-019-00067-4

Cited by 69 publications

(62 citation statements)

References 37 publications

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“…However, specific PIU reflects the dependency of an individual to a specific function of the Internet such as online gambling or social networking sites. From then on, several researchers started to investigate the factors influencing generalized PIU (e.g., Ha et al, 2006;Hardie and Tee, 2007;Lam et al, 2009;Song et al, 2004) and specific PIU such as IGD (Hussain et al, 2015;Tian et al, 2018;Wichstrom et al, 2019), gambling (Chóliz et al, 2019;Sirola et al, 2019), social media addiction Liu and Ma, 2018;Turel et al, 2018) and cybersex addiction (de Alarcón et al, 2019;Fraumeni-McBride, 2019).…”

Section: Background Of the Studymentioning

confidence: 99%

Social media addiction: Applying the DEMATEL approach

Dalvi-Esfahani¹,

Niknafs

Kuss

et al. 2019

Telematics and Informatics

106

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While there is a growing number of studies investigating the determinants of social media addiction, there is a lack of research on examining the importance of such predictors and their inter-correlations and interdependences from psychotherapists' and researchers' point of views. Hence, utilizing the "Decision Making Trial and Evaluation Laboratory (DEMATEL)" technique, the current study investigated the clinical importance of social media addiction from the perspective of researchers and psychotherapists. Accordingly, by reviewing the literature 15 distal predictors of social media addiction were extracted and further classified into three groups of personality factors, comorbid symptoms, and psychosocial factors. From the data collected from 35 respondents, the results highlighted the group of personality factors as the most important dimension increasing the risk for developing social media addiction from the respondents' perspective. Moreover, the DEMATEL results revealed the predictors of openness to experience (personality dimension), loneliness (psychosocial), and depression (comorbid) as the most important predictors of social media addiction within each group. The results and implications of the study are discussed.

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Section: Background Of the Studymentioning

confidence: 99%

Social media addiction: Applying the DEMATEL approach

Dalvi-Esfahani¹,

Niknafs

Kuss

et al. 2019

Telematics and Informatics

106

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“…In fact, although OSB gamblers in our study exhibit severe gambling behavior (spending more money on gambling and developing GD faster than SM gamblers), they presented a lower prevalence of psychiatric comorbidity than SM gamblers (12.5 vs. 29.4% respectively). This could be related to the type of gambling, as OG was more addictive than offline gambling and could induce more deleterious behavior ( 5 ). More studies are needed in online gamblers to assess the effect of psychiatric comorbidity on the course of the disorder and on response to treatment.…”

Section: Discussionmentioning

confidence: 99%

“…Evidence on online gambling practices is scarce, but prevalence is estimated to range from 1 to 13% of the general population ( 3 , 4 ). In a study conducted in Spain, Choliz et al found a prevalence of 0.56% in adults, and 1.04% in young people ( 5 ).…”

Section: Introductionmentioning

confidence: 99%

Current Addiction in Youth: Online Sports Betting

et al. 2021

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Background: Gambling landscape has changed in recent years with the emergence of online gambling (OG). Greater accessibility and availability of this betting modality can increase the risk of developing a gambling disorder (GD). Online sports betting (OSB) is currently the most common type of OG, but little is known about the clinical characteristics of OSB compared to slot-machine (SM) gamblers, the most common offline gambling disorder.Methods: This was a prospective study conducted between October 2005 and September 2019, and included outpatients diagnosed with GD seen in a Pathological Gambling and Behavioral Addictions referral unit. Only patients with OSB and SM disorders were included. The main objective was to assess the clinical profile of OSB compared to SM gamblers, and to define clinical predictors for developing OSB gambling disorder. Logistic regression was performed to determine the effects of variables on the likelihood of this disorder.Results: Among 1,186 patients attended in our Unit during the study period, 873 patients were included; 32 (3.7%) were OSB gamblers and 841 (96.3%) were SM gamblers. Overall, mean age was 45 ± 13 years and 94.3% were men. Compared to SM patients, OSB patients were younger (34.9 ± 9.5 vs. 45.3 ±13), more frequently single (43.8 vs. 20.6%) and had a university education level (43.8 vs. 4.5%); they were also more frequently non-smokers (18.7 vs. 66.7%) and had fewer psychiatric comorbidities (12.5 vs. 29.4%) than SM gamblers. GD duration before treatment initiation was shorter in OSB patients than in SM gamblers, most of them (81.3 vs. 42.4%) with ≤ 5 years of GD duration. OSB gamblers showed significant differences in weekly gambling expenditure, spending higher amounts than SM patients. Younger age (OR: 0.919; 95% CI: 0.874–0.966), university education level (OR: 10.658; 95% CI: 3.330–34.119), weekly expenditure >100€ (OR: 5.811; 95% CI:1.544–21.869), and being a non-smoker (OR:13.248; 95% CI:4.332–40.517) were associated with an increased likelihood of OSB gambling behavior.Conclusions: We identified different profiles for OSB and SM gamblers. Younger age, university education level, higher weekly expenditure, and non-smoking habit were associated with OSB compared to SM disorders. Prevention strategies should help young people become aware of the severe risks of OSB.

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“…Si bien es la actividad de apostar la que activa los mismos circuitos cerebrales de recompensa que las drogas (Goudriaan et al, 2004) y la sintomatología clínica es esencialmente la misma que la de cualquier adicción (American Psychiatric Association, 2013), lo cierto es que las diferentes modalidades de juego tienen diferente potencial adictivo. De entre ellos, el juego online es más adictivo que las modalidades tradicionales de juego (Chóliz et al, 2019;McBride & Derevensky, 2012), lo cual justifica la investigación y desarrollo de procedimientos de intervención específicos para estos trastornos. A su vez, asumir que el trastorno por juegos de apuesta online es una adicción comportamental tiene la ventaja de que provee de un marco conceptual no solo para entender la génesis y mantenimiento del problema, sino también para el diseño de procedimientos de tratamiento adaptados a esta nueva problemática.…”

Section: Introductionunclassified

“…Estos avances tecnológicos, que sin duda son muy positivos y caracterizan la modernidad de los tiempos en los que tenemos la suerte de vivir, pueden acarrear riesgos reales si favorecen conductas disfuncionales o directamente patológicas, como es el caso del trastorno de juego. Y es que la aplicación de los desarrollos de la electrónica e Internet al caso del juego permiten que se modifiquen las condiciones estructurales de una actividad ya de por sí adictiva (American Psychiatric Association, 2013), incrementando el potencial de provocar el trastorno de juego (Chóliz et al, 2019;Griffiths & Barnes, 2008;McBride & Derevensky, 2012). Tanto es así que la última edición del manual de enfermedades de la OMS, el ICD-11, ya reconoce como entidad diagnóstica al trastorno de juego online (OMS, 2018b).…”

Section: Introductionunclassified

Juego online: tratamiento de un caso de adicción a apuestas deportivas

Marcos

2020

Liberabit

Self Cite

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Background: online gambling (bets, casino games, poker, etc.) is an activity that is spreading worldwide, even in countries where it is not yet legalized. Although the situation in Latin America is very heterogeneous, it is possible that, as online gambling is developed and promoted, addiction problems arise. This has already happened in Spain since the legalization of online gambling in 2011. Thus, psychology should be developing intervention programs to face this new scenario. Goal: this paper describes the treatment protocol for a young man with sports betting addiction. Method: the treatment proposal consisted in a cognitive behavioral therapy which focused on deconditioning of gambling situations; training of skills needed to prevent relapses and overcome risky situations; information on gambling risks; change of attitude towards gambling; and promotion of a healthy lifestyle incompatible with gambling addiction. Results: both the treatment phases and the theoretical basis of the intervention proposal are described. The patient, diagnosed with a severe gambling disorder, showed improvements in the gambling disorder criteria and the Symptom Severity Scale Score. Conclusions: a treatment protocol for online gambling addiction, which is based on the principles of motivation and learning, has been developed. This protocol has demonstrated to be effective in reducing gambling behavior and promoting a new healthy lifestyle.

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The Risk of Online Gambling: a Study of Gambling Disorder Prevalence Rates in Spain

Cited by 69 publications

References 37 publications

Social media addiction: Applying the DEMATEL approach

Social media addiction: Applying the DEMATEL approach

Current Addiction in Youth: Online Sports Betting

Juego online: tratamiento de un caso de adicción a apuestas deportivas

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