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Who chooses to enroll in a new national gambling self-exclusion system? A general population survey in Sweden

BACKGROUND: Self-exclusion from gambling is a common method for prevention and harm reduction in hazardous gambling. However, few national self-exclusion programs, involving a large number of gambling operators and activities in a country, have been assessed scientifically. This study aimed to exami...

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Detalles Bibliográficos
Autores principales: Håkansson, A., Henzel, V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579985/
https://www.ncbi.nlm.nih.gov/pubmed/33087113
http://dx.doi.org/10.1186/s12954-020-00423-x
Descripción
Sumario:BACKGROUND: Self-exclusion from gambling is a common method for prevention and harm reduction in hazardous gambling. However, few national self-exclusion programs, involving a large number of gambling operators and activities in a country, have been assessed scientifically. This study aimed to examine characteristics of individuals who chose to enroll in a recently introduced (January, 2019) national self-exclusion system in Sweden. METHODS: Adults and adolescents (from age 16 and above) were addressed with an online survey sent to members of the web panel of a market survey company (1940 respondents). Psychological distress, previous history of addictive disorders, sociodemographic data, and recent history of gambling patterns and over-indebtedness were recorded. Logistic regression tested associations with self-exclusion, with unadjusted analyses conducted for the sub-group of moderate-risk or problem gamblers. RESULTS: Four percent reported having self-excluded using the new national self-exclusion system. In logistic regression, self-exclusion was significantly associated with younger age (OR 0.65 [0.54–0.79] for increasing age groups) and with the highest level of problem gambling (OR 2.84 [1.10–7.37]). In moderate-risk or problem gamblers, in unadjusted analyses, younger age (p < 0.05) and psychological distress (p = 0.02) were associated with self-exclusion. In none- or low-risk gamblers, 3% had self-excluded, which was significantly associated with younger age (p < 0.001) and self-reported over-indebtedness (p < 0.001). CONCLUSIONS: In a national, multi-venue online and land-based self-exclusion system, aiming to reduce the harm of problem gambling, self-exclusion is expectedly more common in problem gamblers, but also occurs among people without recent gambling problems. Further efforts may be needed in order to increase gambling self-exclusion in problem gamblers, and research in reasons for self-excluding, even in non-problem gamblers, is needed.