Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters










Database
Language
Publication year range
1.
Front Psychol ; 14: 1147332, 2023.
Article in English | MEDLINE | ID: mdl-37915529

ABSTRACT

Sportswashing is defined as individuals, groups, companies, or countries/regimes' involvement in sports to improve their own reputation and/or to distract from or normalize wrongdoing. This cross-sectional survey is the first empirical study on sportswashing in relation to gambling. The sample consisted of United Kingdom residents who reported past 12-month gambling (N = 786, 50% women, mean age = 45.6, SD = 15.2). We investigated how many were familiar with sportswashing and their attitudes toward gambling when sportswashing is involved. Exploratory and confirmatory factor analysis (CFA) were conducted on the attitudes scale that was developed for the current study. Multiple regressions were used to examine if individual differences in terms of age, gender, personality, moral foundations, political trust and efficacy, and/or gambling risk were associated with such attitudes. Finally, we examined the percentage of people who avoid gambling on teams/events when sportswashing is involved, including group differences in avoidance and motivations for avoidance according to gambling risk. The results showed that only 32% had heard about sportswashing prior to the survey. CFA indicated that attitudes toward sportswashing and gambling as conceptualized in the scale used in the current study can broadly be categorized into two dimensions: How individuals relate to sportswashing when gambling ("self-factor") and how individuals think gambling companies and regulators should regulate sportswashing and gambling [an "external-factor," p < 0.001, CFI = 0.0.996, RMSEA = 0.090, 90% CI (0.077, 0.104)]. Multiple regressions indicated that measures of individual differences explained a significant amount of variance in self-oriented (F (17, 765) = 7.19, p < 0.001, adjusted R2 = 0.12) and external-oriented (F (17, 765) = 8.40, p < 0.001. adjusted R2 = 0.14) attitude toward gambling and sportswashing. Avoidance of betting when sportswashing is involved was reported by 43%. The proportion was lower among those with moderate gambling risk/problem gambling (35%) compared to those with no/low gambling risk (45%). It is concluded that further scale development could help elucidate individual differences in attitudes toward sportswashing and gambling. Sportswashing remains an important social issue, and the present study indicates that this has high relevance for the gambling field.

2.
Front Psychiatry ; 13: 1005172, 2022.
Article in English | MEDLINE | ID: mdl-36465287

ABSTRACT

Background: Previous research has suggested empirically based gambling loss limits, with the goal of preventing gambling related harm in the population. However, there is a lack of studies relating gambling loss limits to individual factors such as income. The current study examines whether gambling loss limits should be income-specific. Materials and methods: The dataset was derived from three representative cross-sectional surveys of the Norwegian population and consisted of 14,630 gamblers. Four income groups, based on a quartile approximation, were formed. Gambling related harm was measured with the Problem Gambling Severity Index (PGSI), and precision-recall (PR) analyses were used to identify loss limits for the different income groups at two levels of gambling severity: moderate-risk gambling and problem gambling. Results: For both levels of gambling severity, we found the lowest income group to have the lowest gambling loss limits, and the highest income group to have the highest loss limits, which compared to the loss limits for the total sample, were lower and higher, respectively. Calculating the cut-offs for moderate-risk gamblers, we found a consistently ascending pattern from the lowest to the highest income group. Calculating the cut-offs for problem gamblers, we found a similar pattern except for the two middle income groups. Conclusion: The results suggest that income moderates empirically derived gambling loss limits. Although replication is required, income-based gambling loss limits may have higher applied value for preventing gambling related harm, compared to general loss limits aimed at the entire population.

3.
Front Psychiatry ; 12: 597615, 2021.
Article in English | MEDLINE | ID: mdl-33935822

ABSTRACT

Objectives: To investigate changes over time and identify predictors of online gambling among gamblers by using three Norwegian representative samples covering a 6-year (2013-2019) period. We also aimed to identify different characteristics (including video game participation and video gaming problems) of online compared to offline gamblers. Methods: Data from gamblers (N = 15,096) participating in three cross-sectional surveys (2013, 2015, and 2019) based on random sampling from the Norwegian Population Registry were analyzed. Participants were asked how frequently they engaged in online gambling on different platforms (e.g., mobile phone). Data on sociodemographics, games gambled, gambling problems, gaming, and problem gaming were collected and analyzed by logistic regression analyses. Results: Overall, an increase in online gambling from 2013 to 2015 was found (a larger percentage of gamblers reported having gambled online at least once during the last year), and an increase in online gambling from 2015 to 2019 was found (more gamblers reported having gambled online at least once last year and at least once per week). The increase was largest for gambling on mobile phone. Consistent predictors of online gambling (at least once last year and at least once per week) were male gender, high income, being unemployed, being on disability pension, having work assessment allowance, being a homemaker or retiree, number of games gambled, and gambling problems. Conclusions: Online gambling, especially on mobile phones, has increased significantly during the last 6 years in Norway. Hence, gambling availability seems to have grown, which may pose a risk for development of gambling problems. Compared to offline gamblers, online gamblers were more likely to be men, young, not working or studying, gambling on several games, and having gambling problems. Responsible gambling efforts aiming at preventing or minimizing harm related to online gambling should thus target these groups.

SELECTION OF CITATIONS
SEARCH DETAIL
...