By Richard, J., & Derevensky, J.
Abstract: Background: Adolescence represents a significant social and psychological developmental period which can lead to the experimentation with multiple highrisk behaviours. Although associations with problem gambling in youth have been established in the research literature, there is lack of consistency in the results and measures used to assess these constructs while considering the impact of gender and age. The current study examined the relationship between mental health symptoms (anxiety, depression), problem behaviours (aggression, delinquency) and gambling among high-school youth.
Method: Questionnaire responses were collected from 6,818 junior and senior high-school students in a mid-western U.S. community.
Results: Statistical analyses revealed that all mental health symptoms and problem behaviors were related to an increase in gambling frequency and risk for a gambling problem. Of note, both aggressive and delinquent/antisocial problems held the highest risk for gambling problems compared to anxiety and depressive problems. Significant differences were also observed in terms of gender and age.
Conclusion: This study contributes to our understanding of mental health issues and risky behaviors among adolescents.
Richard, J., & Derevensky, J. (2017). Identifying the Relationship Between Mental Health Symptoms, Problem Behaviors and Gambling Among Adolescents. Annals of Behavioural Science, 03(02). https://doi.org/10.21767/2471-7975.100030
Studies on interventions for at-risk gambling are scarce. This pilot study is the first step in a larger project aimed to develop methods to prevent more serious gambling problems. Drawing on experiences from the alcohol field, the brief intervention (BI) model was tested in a primary care setting. Primary care personnel was trained for 2 days. Patients were screened, and those with signs of problematic gambling were offered a return visit to discuss their gambling habits. Of the 537 screened, 34 (6.3 %) screened positive for problem gambling. Of those, 24 were at-risk gamblers whereof 19 agreed to participate. Six of those 19 took part in a 1-month follow-up. Important information for the planning of upcoming studies was collected from the pilot work. Given that the rate of at-risk gamblers was elevated in this setting we consider primary care a suitable arena for intervention. Staff training and support appeared essential, and questionnaires should be selected that are clear and well-presented so staff feel secure and comfortable with them. The BI model was found to be most suitable for patients already known to the caregiver. The number of participants who were willing to take part in the follow-up was low. To ensure power in future studies, a much larger number of screened patients is evidently necessary.
Finlay-Gough, K., Marmurek, H., Kanetkar, V., & Londerville, J. (2015, June). The Influence of Casino Architecture and Structure on Problem Gambling Behaviour: An Examination Using Virtual Reality Technology. In Proceedings of the 14th European Conference on Research Methods 2015: ECRM 2015 (p. 187). Academic Conferences Limited.
From a preview available at Google Books
Abstract: The results of three studies are reported which were designed to provide converging evidence of the emotion and gambling behaviour that are induced by casino settings. Two overall macro casino designs were examined in this research: the …
via Proceedings of the 14th European Conference on Research Methods 2015: ECRM 2015 – Google Books.
While the association between problem gambling and alcohol use disorders has been studied previously, little is known about the association between risk gambling and risk drinking. This study aimed at examining the association between at-risk gambling and binge drinking in the general Swedish population and to test whether this association remained after controlling for demographic factors. The data was part of a larger ongoing survey in the general Swedish population…
via The Association Between At-risk Gambling and Binge Drinking in the General Swedish Population.