(1) Background: Twitch.tv is a live video content website. As of 2022, Twitch users are generally adolescents and young adults, with estimates of the percentage of users aged 16-24 between 22.3% and 41%, predominantly males with estimates ranging from 65% to 78.36%. In recent years, “slotstream” content has become increasingly popular, where streamers gamble online while users watch them. (2) Methods: from July 2022 to November 2022, we researched articles related to Twitch, live streaming, gambling, casino, slot, gambling online, modeling, social media influencers, conditioning, and celebrities, searching for relevant studies in the databases LexisNexis Academic, Business Source Complete, PubMed, Web of Science, Freedom Collection, Health & Medical Collection, Elsevier Journal, Springer, APA PsycARTICLES, Wiley, and other single journals. (3) Results: we took into consideration Gambling Disorder, Online Gambling Disorder, and Internet Gaming Disorder on the one hand, and consumer components such as persuasive communication and influencer-audience relationship on the other; we then hypothesized that the presence of these variables within the slotstream format is positively correlated with the development of pathological gambling, especially in an adolescent audience. (4) Conclusion: we assume that there is a positive correlation between watching slotstream content and the probability of developing both pathological and non-pathological gambling behavior.

Problem gambling among young people is an emerging trend globally. The online environment in particular offers various possibilities for gambling engagement. This is the first cross-national survey study using the social ecological model to analyze problem gambling, especially in the online context. The aim was to analyze how different social ecological spheres explain problem gambling. Participants were young people aged 15–25 in the United States (n = 1,212), South Korea (n = 1,192), Spain (n = 1,212), and Finland (n = 1,200). The South Oaks Gambling Screen (SOGS) instrument was used as a measure for problem gambling. Regression models predicted problem gambling with measures of intrapersonal, interpersonal, organizational, and societal spheres. Spanish participants had the highest SOGS score for problem gambling. Out of the spheres, organizational-sphere measures best explained the variation in problem gambling in all countries (26%) when compared to the societal (3%), interpersonal (5%) and intrapersonal (11%) spheres. In the full model, organizational-sphere measures had strong associations with problem gambling. These included consumer debt, online gambling community participation, online casino participation, and exposure to online pop-up advertisements. Other robust predictors of problem gambling included conformity to group norms in the interpersonal sphere and male gender and impulsivity in the intrapersonal sphere. Cross-national results were similar in different countries. The online context plays a major role in problem gambling behavior. The social ecological model is a useful tool by which to tackle problem gambling and develop preventative measures.

Excessive online behaviors refer to harmful or disproportionate use of digital network applications. Such behaviors are likely to be associated with escapist motives. Our aim was to analyze whether escapism predicts excessive gambling, excessive gaming, and excessive internet use over time. A longitudinal sample of Finnish residents aged 18–75 years (N = 1,022, 51.27% male) was surveyed at three time points in 6-month intervals: April 2021 (Time 1), October–November 2021 (Time 2), April–May 2022 (Time 3). Of the original Time 1 respondents, 66.80% took part in the surveys at both Time 2 and Time 3. All surveys included measures for excessive gambling (Problem Gambling Severity Index), excessive gaming (Internet Gaming Disorder Test), and excessive internet use (Compulsive Internet Use Scale). Three escapism-specific questions were used to construct a dedicated escapism variable. Socio-demographic variables, alcohol consumption, and psychological distress were used as controls. The study was conducted with multilevel regression analyses using hybrid models. Our research showed that escapism had strong within-person effects on excessive gambling, B = 0.18, p = .003; excessive gaming, B = 0.50, p < .001; and excessive internet use, B = 0.77, p < .001 over time. The between-person effect of escapism was demonstrated on excessive gaming B = 0.91, p <.001; and excessive internet use B = 0.61, p = .036. Adverse societal events and uncertain times can manifest in excessive online behaviors motivated by escapism, highlighting a need to focus prevention efforts on healthy coping methods.

The number of persons immersed in excessive gaming has increased in this age of rapid digitalization. The World Health Organization and American Psychiatric Association Organization recognizes gaming disorder as a disorder that results in significant problems in daily life as a result of excessive gaming. Both organizations emphasize the similarities to behavioral addictions such as gambling. We examined the appropriate usage of video games from the perspectives of health and management in this study. For the general population, video games provide positive impacts such as stress alleviation and memory improvement. Excessive gaming, on the other hand, might lead to addiction. Gaming addiction is often accompanied by psychological disorders and other addictions, necessitating long-term medical treatment such as cognitive behavioral therapy. Therefore, prevention of gaming disorder is essential. From a societal standpoint, action is required at three levels: the government, game developers, and within the household as a whole. Simultaneously, the public needs to be made understand the positive potential of gaming, such as e-sports.

Gambling among college students can start as a pastime activity. However, this pastime can lead to problem gambling and pathological gambling. This cross-sectional study aimed to identify and explain gambling behavior among university students using a novel fourth-generation multi-theory model (MTM) of health behavior change. Data were collected from a sample of 1,474 university students at a large southwestern university in the U.S. between January 2023 and February 2023, utilizing a validated 39-item survey. The statistical analyses employed in this study encompassed descriptive statistics, independent samples t-tests, and hierarchical regression modeling. Among students who engaged in gambling in the past month, the constructs of participatory dialogue (β = 0.052; p < 0.05), behavioral confidence (β = 0.073; p < 0.0001), and changes in the physical environment (β = 0.040; p = 0.0137) accounted for 27.7% of the variance in the likelihood of initiating the behavior change. Furthermore, the constructs of emotional transformation (β = 0.104; p = 0.0003) and practice for change (β = 0.060; p = 0.0368) accounted for 22.6% of the variance in the likelihood of sustaining quitting gambling behavior. The Multi-Theory Model (MTM) can be employed to design interventions aimed at reducing problem gambling among college students.

Is it possible to measure the dispersion of ex-ante chances (i.e. chances “before the event”) among people, be it gambling, health, or social opportunities? We explore this question and provide some tools, including a statistical test, to evidence the actual dispersion of ex-ante chances in various areas with a focus on chronic diseases. Using the principle of maximum entropy, we derive the distribution of the risk to become ill in the global population as well as in the population of affected people. We find that affected people are either at very low risk like the overwhelming majority of the population but still were unlucky to become ill, or are at extremely high risk and were bound to become ill.

(1) Background: Elite sport can increase vulnerability to developing mental health pathologies. The purpose of the study is to determine the frequency at which these behavioural disorders appear in elite footballers and evaluate their relationship with other addictions. (2) Methods: A cross-sectional study was conducted between November 2020 and January 2022 on 306 participants. The variables of gambling and gaming were studied. The different groups were compared using Chi-squared tests. Probabilities exceeding 95% (p-values < 0.05) and residuals results greater than 2 or less than −2 were considered significant. (3) Results: There were significant differences between the two groups in terms of alcohol (p < 0.001), tobacco (p < 0.001), and cannabis (p < 0.018) consumption. We also found differences between those who had a history of a nervous disease (p < 0.015). 6.6% of the of football players had a probable diagnosis of gambling disorder compared to 1% in the general population (p < 0.007). Among the pathological and non-pathological cases of gambling in the football population, significant differences were found between those with a salary of €900–1,500/month (p < 0.033) or a history of a nervous pathology (p < 0.001). (4) Conclusions: This study showed that professional football players were vulnerable to mental health pathologies related to gaming.