Predictors Of Problem Gambling Research Articles

The prevalence of adolescent problem gambling: examining sociodemographic risk factors in New Mexico

ABSTRACT Problem gambling in adolescence can lead to significant negative consequences, yet few studies have examined the prevalence and risk factors among diverse youth populations. This study investigated gambling and related non-gambling activities and sociodemographic correlates of problem gambling in 2,533 high-school students in New Mexico aged 12–18 years (mean age 15.6), with an approximately equal gender distribution (49.3% male, 49.3% female, 1.4% unspecified). Overall, 3% screened positive for problem gambling, with higher rates among males (3.9%) than females (2.1%), Native American (4.5%), and Hispanic (3.3%) versus white (1.5%) students. In-person activities were more common than online activities for both gambling and non-gambling activities. Substance use behaviors, including binge drinking, e-cigarette, marijuana, and prescription painkiller use, were more prevalent among people with gambling problems. Controlling for demographics, the interaction between Hispanic ethnicity and past 30-day binge drinking was positively associated with problem gambling. A risk score combining substance use and housing instability also positively predicted problem gambling. These findings demonstrate sociodemographic and substance use risk factors for problem gambling among New Mexico adolescents. The study highlights the importance of considering diverse ethnic backgrounds and co-occurring risk behaviors in developing targeted prevention and intervention strategies for adolescent problem gambling across various cultural contexts.

Examining the Role of Sports Betting Marketing in Youth Problem Gambling.

Sports betting is becoming increasingly common among young people in the UK and Australia. There is a need to understand how the marketing of sports betting may influence risky and pathological gambling to inform policies aimed at reducing harm. This study examines whether sports betting advertising may predict problem gambling scores among young people, while accounting for non-marketing variables. We recruited 567 participants (53.1% male) aged 18-24 years from an online research panel. Participants were eligible if they had an active betting account and regularly bet on sports. We conducted a hierarchical regression analysis to examine whether four marketing-related measures (exposure to advertising, ad-driven betting decisions, use of betting inducements, and perceived susceptibility to betting inducements) could predict PGSI scores. We controlled for several demographic, psychological, and behavioural variables, including gender, gambling participation, spend per session, participation in in-play betting, normative beliefs about sports betting, and impulsivity. The study revealed that sports betting marketing was positively associated with PGSI scores after controlling for non-marketing variables. Significant marketing predictors included ad-driven betting decisions and perceived influence from betting inducements. Other significant predictors included participation in non-sports betting gambling activities, spend per session, involvement in in-play betting, and the impulsivity trait of negative urgency. Sports betting marketing appears to be implicated in young people's gambling problems. Specifically, young people who have gambling problems may be more likely to bet in response to advertising, and betting incentives may contribute to an intensification of their gambling behaviour. This study supports the implementation of regulations and restrictions on advertising as a measure to protect young problem gamblers.

Role of Motivation in the Progression of Problem Gambling: A Comparison of Early and Late Adults.

Motivation plays a dominant role in gambling progression. Most studies using motivational scales have revealed that certain motivations are associated with problem gambling. However, age differences were found to be negligible in gambling motivation. This study aimed to examine the role of motivation associated with age differences in problem gambling in Japan. A total of 160 participants over 20 years of age who had gambled within the past six months were randomly recruited from web monitors. In this study, the Japanese version of the modified Gambling Motivation Scale (J-MGMS) was used which comprises six systematic factors: intellectual challenge, excitement, socialization (coping and sociability), social recognition, monetary gain, and amotivation. The Japanese version of the South Oaks Gambling Screening (J-SOGS) was used to assess participants' gambling-related problems. Demographic data, such as gambling frequency, were solicited. Using linear regression analysis, amotivation in all participants, social recognition in early adults (under 30), and amotivation in late adults (30 or over) were associated with J-SOGS scores (adjusted R2 = 0.170, 0.290, 0.156). Among late adults, social recognition was nearly significant, although negative (p = 0.0503). 1) Self-determinant (autonomous) motivations such as excitement and socialization do not contribute to the progression of problem gambling. 2) Two non-self-determinant (non-autonomous) motivations, social recognition in early adults and amotivation in late adults, are predictors of problem gambling. 3) Social recognition is a dichotomic and paradoxical motivation in the progress of problem gambling according to age.

Using Artificial Intelligence Algorithms to Predict Self-Reported Problem Gambling Among Online Casino Gamblers from Different Countries Using Account-Based Player Data

AbstractThe prevalence of online gambling and the potential for related harm necessitate predictive models for early detection of problem gambling. The present study expands upon prior research by incorporating a cross-country approach to predict self-reported problem gambling using player-tracking data in an online casino setting. Utilizing a secondary dataset comprising 1743 British, Canadian, and Spanish online casino gamblers (39% female; mean age = 42.4 years; 27.4% scoring 8 + on the Problem Gambling Severity Index), the present study examined the association between demographic, behavioral, and monetary intensity variables with self-reported problem gambling, employing a hierarchical logistic regression model. The study also tested the efficacy of five different machine learning models to predict self-reported problem gambling among online casino gamblers from different countries. The findings indicated that behavioral variables, such as taking self-exclusions, frequent in-session monetary depositing, and account depletion, were paramount in predicting self-reported problem gambling over monetary intensity variables. The study also demonstrated that while machine learning models can effectively predict problem gambling across different countries without country-specific training data, incorporating such data improved the overall model performance. This suggests that specific behavioral patterns are universal, yet nuanced differences across countries exist that can improve prediction models.

Family Demographics, Somatic Symptoms and Problem Gambling Among Students in a Nigerian Institution

Background: Problem gambling is becoming a potential public health epidemic in southwest Nigeria. Individuals with gambling problems are underdiagnosed and relatively under-recognised. Hence, they rarely present with complaints of gambling problems at clinics. The family plays a significant role in identifying and managing persons with gambling addiction. Healthcare professionals need to have a high index of suspicion and understanding of the relationships between family demographics and the presentation of somatic symptoms among high-risk groups. Objective: To assess the relationships between family demographics, somatic symptoms, and gambling problems among Nigerian tertiary educational institution students. Method: This is a cross-sectional study carried out among 183 students of a tertiary education institution in Ogun State, southwest Nigeria. The Southern Oaks Gambling Screen (SOGS) and the Patient Health Questionnaire-15 (PHQ-15) were the tools used to assess the pattern of gambling and somatic symptoms, respectively. Results: The prevalence of gambling disorder was 23% (42/183). There was a significant relationship between somatic symptoms and problem gambling (p = 0.02). The predictors of probable gambling were a positive family history of gambling (OR = 3.64, p = 0.01, CI = 1.34-9.90), gender (OR = 0.36, p = 0.02, CI = 0.15-0.86) and a decreasing level of the father's education (OR = 2.78, p = 0.02, CI = 1.15-6.71). At the same time, monthly allowances (OR= 1.01, p = 0.07) and somatic symptoms were not predictors of problem gambling (OR = 0.41, p = 0.17). Conclusions: Healthcare professionals need a high index of suspicion when evaluating young persons with somatic symptoms.

Emotional Dysregulation, Shame and Guilt Predict Severity of Gambling Among a Population of Gamblers.

Over the last few years, gambling has diversified, particularly with the arrival of legislation authorizing online gambling in 2010 in France. Psychology has been very interested in emotional regulation strategies, and more recently and more sparsely in the presence of shame and guilt. Through an observational study (N = 1955) shame, guilt, and emotional regulation were assessed among gamblers. We found that (i) Less guilt is associated with problem gambling, (ii) Shame-proneness is similar regardless of the type of gamblers, (iii) Every facet of emotion regulation indicates less effective strategies for problem gamblers excepted for a behavior oriented to a goal. These results suggest the importance of shame or guilt as predictors of problem gambling, as well as processes underlying emotion regulation.

A longitudinal study of gambling motives, problem gambling and need frustration

Gambling motives are an important element in understanding the development of problem gambling, yet most of the recent studies investigating their role in problem gambling have been cross-sectional. This study analyzed the links between gambling motives and problem gambling using a longitudinal study design. The moderating effect of the frustration of basic psychological needs was also assessed. The study sample with 1,022 participants (48.43% female, Mage = 49.50 years) was surveyed at three timepoints (T1–T3) in 6-month intervals. The Problem Gambling Severity Index (PGSI) was used to measure problem gambling and need frustration was assessed with The Basic Psychological Need Satisfaction and Frustration Scale (BPNSFS). The data were analyzed using a multilevel mixed-effects regression model where PGSI was the outcome variable. Gambling motives and need frustration were the predictors while psychological distress (measured with the 5-Item Mental Health Inventory, MHI-5), offshore/onshore online gambling, and socio-demographic factors were used as control variables. All the motives predicted problem gambling individually over time. In contrast, motives to escape, to win money, and to compete along with need frustration predicted problem gambling over time in the full model. In addition, money motive and need frustration had an interaction effect so that higher need frustration combined with money motive predicted more severe gambling problems. The results of this study provide a valuable longitudinal perspective on gambling motives, frustration of basic psychological needs, and gambling problems which can be used to develop and improve treatment efforts and programs of problem gambling.

Using machine learning to retrospectively predict self-reported gambling problems in Quebec.

Participating in online gambling is associated with an increased risk for experiencing gambling-related harms, driving calls for more effective, personalized harm prevention initiatives. Such initiatives depend on the development of models capable of detecting at-risk online gamblers. We aimed to determine whether machine learning algorithms can use site data to detect retrospectively at-risk online gamblers indicated by the Problem Gambling Severity Index (PGSI). Exploratory comparison of six prominent supervised machine learning methods (decision trees, random forests, K-nearest neighbours, logistic regressions, artificial neural networks and support vector machines) to predict problem gambling risk levels reported on the PGSI. Lotoquebec.com (formerly espacejeux.com), an online gambling platform operated by Loto-Québec (a provincial Crown Corporation) in Quebec, Canada. N = 9145 adults (18+) who completed the survey measure and placed at least one bet using real money on the site. Participants completed the PGSI, a self-report questionnaire with validated cut-offs denoting a moderate-to-high-risk (PGSI 5+) or high-risk (PGSI 8+) for experiencing past-year gambling-related problems. Participants agreed to release additional data about the preceding 12 months from their user accounts. Predictor variables (144) were derived from users' transactions, apparent betting behaviours, listed demographics and use of responsible gambling tools on the platform. Our best classification models (random forests) for the PGSI 5+ and 8+ outcome variables accounted for 84.33% (95% CI = 82.24-86.41) and 82.52% (95% CI = 79.96-85.08) of the total area under their receiver operating characteristic curves, respectively. The most important factors in these models included the frequency and variability of participants' betting behaviour and repeat engagement on the site. Machine learning algorithms appear to be able to classify at-risk online gamblers using data generated from their use of online gambling platforms. They may enable personalized harm prevention initiatives, but are constrained by trade-offs between their sensitivity and precision.

Worsened Anxiety and Loneliness Influenced Gaming and Gambling during the COVID-19 Pandemic.

Aim: To study the prevalence and patterns of problematic gaming and gambling during the COVID-19 pandemic and the association with psychiatric traits and major types of anxiety categories. Method: 1067 young adults participated in both wave 3 (2018) and wave 4 (2021) of the SALVe Cohort. Associations with psychiatric symptoms and anxiety were examined using logistic regression and Chi-square tests. Results: Problematic gaming decreased by 1.3 percentage points to 23.2% since the start of the pandemic, while problematic gambling increased by 0.9 percentage points to 6.5% in w4. Average time spent playing video games/day decreased from 2.2 h (w3) to 1.7 h (w4), while increases in gaming activity were associated with worsened feelings of loneliness (p = 0.002), depression (p < 0.001), and anxiety (p < 0.01) during the pandemic. Predictors for problematic gaming at w4 were previous problematic gaming and social anxiety (p = < 0.001 and 0.01, respectively). Moreover, previous problem gambling also predicted problem gambling at w4 p < 0.001. All anxiety categories were associated with both problematic gaming and gambling when adjusted for age and sex. However, after adjusting for depression and insomnia, social anxiety was associated with problematic gaming (p < 0.001), while panic was associated with problem gambling (p < 0.001). Conclusion: Overall, problematic gaming has decreased since the start of the pandemic, while problem gambling has increased. Worsened feelings of loneliness, depression, and anxiety during the pandemic are associated with increased gaming. Moreover, the association between problematic gaming and gambling and anxiety is independent of depression and sleep problems.

Part of the Game? Exploring the Prevalence and Normalization of Gambling in Belgian Sports Clubs.

Gambling and sports are entangled in a close relationship. However, little remains known about gambling behaviors and perceptions in sports. Drawing on normalization theory, this study explores the prevalence and predictors of problem gambling as well as the normalization of gambling (including its availability and accessibility, prevalence, and socio-cultural accommodation) in sports clubs. A cross-sectional study design was implemented, based on an online survey completed by 817 Belgian sports club actors. This survey consisted of the Problem Gambling Severity Index (PGSI) and questions about personal and socio-cultural factors regarding gambling. Data were analyzed with SPSS 26 software, using descriptive statistics and an ordinal logistic regression analysis. These analyses exposed being male, being aged 26–35 years old, and being involved in football (soccer) as factors that might be linked with higher levels of problem gambling in sports. Furthermore, sports betting is especially shown to be normalized in sports clubs given its prevalence, and its frequently organized and discussed character. Moreover, respondents disclosed a lack of formal rules (96%) and education initiatives (98.7%) on gambling in their sports club. Given the indicated support for gambling regulations and educational measures, this study may inform sports organizations about how to help denormalize gambling.

Gambling problems among United Kingdom armed forces veterans: Associations with gambling motivation and posttraumatic stress disorder

ABSTRACT Military service, mental health, and gambling activities and motivations as predictors of problem gambling in a sample of UK AF veterans. Age-and-gender matched veterans (n = 1,037) and non-veterans (n = 1,148) completed an online survey of problem gambling, gambling motivation, mental health (depression and anxiety), and posttraumatic stress disorder (PTSD). Past year problem gambling rates were higher in veterans compared to non-veterans. Veteran status predicted increased problem gambling risk. The relationship between problem gambling and gambling to cope with distress was significantly stronger among veterans. Veterans experiencing PTSD and complex PTSD (C-PTSD) were at increased risk of problem gambling. Overall, the present, findings contribute further international evidence that veterans are a population vulnerable to problem gambling. Veterans with PTSD or C-PTSD are most at-risk and may engage in problematic gambling to escape/avoid distress. Routine screening for gambling problems should be undertaken with current and former military personnel, and further research is needed on the interplay between gambling motivation and veterans’ mental health.

Gambling fallacies: Predicting problem gambling in a national sample.

Objective: The relationship between the level of gambling fallacy endorsement and type of gambler (nongambler, recreational gambler, at-risk gambler, and problem/pathological gambler) was assessed both concurrently and prospectively in a large national cohort of Canadian adults. Method: This cohort (n = 10,199 at baseline; 18-24 years, n = 481, 43% female; 25-34 years, n = 1,335, 62% female; 35-44 years, n = 1,543, 55% female, 45-54 years, n = 1,985, 58% female; 55-64 years, n = 2,459, 55% female; 65-74 years, n = 1,865, 44% female, 75+ years, n = 531, 43% female) was recruited from LEO, Leger Opinion's registered online panelists. The follow-up survey was completed by 55.9% of the cohort, 1 year after baseline. The full survey can be viewed at https://www.ucalgary.ca/research/national-gambling-study/. For the current study, scores on the Gambling Fallacies Measure, the Problem and Pathological Gambling Measure, Gambling Participation Instrument, and Impulsivity were analyzed. Results: There were three main findings. The first is that gambling fallacies are common in all categories of gamblers but somewhat more prevalent in problem and pathological gamblers. Second, the multivariate analysis determined that gambling fallacies are significant concurrent and prospective predictors of the problem/pathological gambling category, but not strong predictors relative to other variables. Third, problem gambling and heavier gambling involvement are also predictors of a future higher level of gambling fallacies. Conclusions: Collectively, these results show that gambling fallacies have some etiological relationship to problem gambling but are not the main cause of problem gambling and should not be the exclusive focus of problem gambling treatment. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Dichotomous and Weighted Scoring of the Problem Gambling Severity Index Converge on Predictors of Problem Gambling

Dichotomous and Weighted Scoring of the Problem Gambling Severity Index Converge on Predictors of Problem Gambling

Skin gambling predicts problematic gambling amongst adolescents when controlling for monetary gambling.

Background and aimsSkin gambling uses in-game items (skins) acquired in video games, to gamble on esports, games of chance, other competitive events and privately with friends. This study examined characteristics of adolescent skin gamblers, their engagement in monetary gambling, and relationships between skin gambling and at risk/problem gambling.MethodsTwo samples of Australian adolescents aged 12–17 years were recruited to an online survey through advertisements (n = 843) and an online panel provider (n = 826).ResultsIn both samples, past-month skin gamblers (n = 466 advertisements sample; n = 185 online panel sample) were more likely to have lower wellbeing, score as having an internet gaming disorder on the IGD, engage in more types of monetary gambling, and meet criteria for problem gambling on the DSM-IV-MR-J. Past-month skin gambling uniquely predicted problem gambling when controlling for past-month gambling on 11 monetary forms and the total number of monetary gambling forms.Discussion and conclusionsUnderage participation in skin gambling is a growing concern. The strong convergence between engagement in skin gambling and monetary gambling suggests common risk factors may increase the propensity of some adolescents to gamble on these multiple forms. Nonetheless, past-month skin gambling predicted problem gambling even when controlling for past-month monetary gambling, indicating its unique contribution to gambling problems and harm. While the study was based on non-probability samples, its results strengthen the case for regulatory reforms, age restrictions and public health education to prevent underage skin gambling and its potentially harmful consequences for children and young people.

What game we are playing: the psychosocial context of problem gambling, problem gaming and poor well-being among Italian high school students

Gambling and gaming are not infrequent among adolescents and preventing low-risk youth from becoming at-risk appears to be a priority of public health strategies. Greater scrutiny of the risk and protective factors in the relationships and community of young people appears crucial in steering prevention initiatives adequately.This study aimed to explore the role of the qualities of relational networks (i.e. family functioning, perceived social and class support), family and peer approval and view of the social environment in predicting problem gambling, problem gaming and overall well-being among adolescents.High-school students aged 14–18 years (N: 595; female: 68,7%) completed a survey including the target variables. A multivariate multiple regression analysis was performed to examine the role of socio-demographic characteristics and psychosocial predictors on gaming, gambling, and well-being.Multivariate multiple regressions identify a common core underpinning problem gambling, gaming and poor well-being but also the distinct roles of psychosocial variables: being male, with low parental monitoring, and an anomic view of the social environment all predict problem gambling and gaming, which were also found to be associated. Low social support predicts problem gambling but not problem gaming; poor family functioning predicts problem gaming but not problem gambling. All the target psychosocial variables, except approval of gambling, predict poor well-being.On the whole the findings suggest the need to look more closely at the way adolescents, their system of activity and their culture participate in constructing the meaning of gambling and gaming activities and their impact on adolescents’ well-being, so that future studies and strategies can more effectively examine the relational dynamics in which problem gambling and gaming develop.

Risk and protective factors for the development of gambling-related harms and problems among Australian sexual minority men

BackgroundSexual minority men (SMM) often experience stressful social environments dominated by stigma and discrimination. SMM are typically more likely than heterosexual men to engage in certain risky behaviours such as problem gambling. This study aimed to compare gambling behaviour among SMM and examine potential risk factors (erroneous gambling cognitions, gambling outcome expectancies, hazardous alcohol use, impulsivity, and psychological distress; as well as perceived stigma and discrimination for the SMM participants) and potential protective factors (resilience, social support, and community connectedness) for problem gambling severity and gambling-related harms among SMM living in Australia.MethodsAn online survey, with an over-representation of SMM participants and problem, moderate-risk, and low-risk gamblers, was completed by 101 SMM (mean age = 28.5) and 207 heterosexual men (mean age = 26.4).ResultsSMM were found to have significantly lower levels of problem gambling severity compared with heterosexual men, and report significantly lower gambling participation, frequencies and expenditure on any gambling activity, casino table games, horse racing/greyhound betting, sports betting, and keno. However, in the SMM group, 38.3% were classified in the problem gambling category of the Problem Gambling Severity Index and 27.6% were classified in the moderate-risk gambling category. There were no significant differences between groups in gambling-related harms. Multiple regression analyses revealed that problem gambling severity and related harms were independently predicted by higher levels of impulsivity and erroneous gambling cognitions for both groups.ConclusionsLower frequency of gambling behaviours among SMM and similar risk factors predicting problem gambling severity/harms for both groups suggests that problem gambling is not pronounced among SMM. This study adds new evidence to the gambling literature which can be used as comparative benchmarks for future research.

Predicting Problem Gambling Severity: Interplay between Emotion Dysregulation and Gambling-related Cognitions.

Understanding how emotion regulation and gambling-related cognitive distortions relate to gambling problems has direct relevance for problem gambling prevention and treatment. Although these factors have been identified as robust psychological correlates for problem gambling, the interplay between emotional regulation and cognitive biases in influencing problem gambling behaviours is yet to be fully understood. Accordingly, this study examined the explanatory role of cognitive distortions in the association between emotion regulation difficulties and problem gambling behaviours and also explored the interaction between emotion regulation and cognitive distortions in predicting gambling severity. A total of 301 adults (182 males and 119 females; age range: 18-71years, M = 32.62, SD = 10.03) completed an online questionnaire comprising measures of emotional regulation difficulties, gambling-related beliefs and problem gambling severity. Analyses revealed that emotion regulation difficulties and erroneous gambling beliefs were positively related to problem gambling severity. Further, cognitive distortions partially accounted for the relationship between emotional regulation difficulties and problem gambling, although emotion regulation retained a direct relationship with problem gambling. There was no interaction between emotional regulation and cognitive distortions. The findings indicate that emotion regulation may serve as a precursor to the development of cognitive distortions, while also directly influencing problem gambling. Implications for assessment and treatment of problem gambling are discussed.

Contrasting Mind-Wandering, (Dark) Flow, and Affect During Multiline and Single-Line Slot Machine Play

Slot machines are a very popular form of gambling in which a small proportion of gamblers experience gambling-related problems. These players refer to a trance-like state that researchers have labelled ‘dark flow’—a pleasurable, but maladaptive state where players become completely occupied by the game. We assessed 110 gamblers for mindfulness (using the Mindful Attention Awareness Scale), gambling problems (using the Problem Gambling Severity Index), depressive symptoms (using the Depression, Anxiety, and Stress Scale), and boredom proneness (using the Boredom Proneness Scale). Participants played both a multiline and single-line slot machine simulator and were occasionally interrupted with thought probes to assess whether they were thinking about the game or something else. After playing each game, we retrospectively assessed dark flow and affect during play. Our key results were that the number of “on-game” reports during the multiline game were significantly higher than the single-line game, and that we found significantly greater flow during the multiline game than the single-line game. We also found significantly lower negative affect during the multiline game than the single-line game. Using hierarchical multiple regression, we found that dark flow accounted for unique variance when predicting problem gambling severity (over and above depression, mindfulness, and boredom proneness). These assessments help bolster our previous assertions about escape gambling—if some players are prone to having their mind-wander to negative places, the frequent but unpredictable reinforcement of multiline slot machines may help rein in the wandering mind and prevent minds from unintentionally wandering to negative thoughts.

Ecological Momentary Assessment of the Relationship between Positive Outcome Expectancies and Gambling Behaviour.

Relapse prevention models suggest that positive outcome expectancies can constitute situational determinants of relapse episodes that interact with other factors to determine the likelihood of relapse. The primary aims were to examine reciprocal relationships between situational positive gambling outcome expectancies and gambling behaviour and moderators of these relationships. An online survey and a 28 day Ecological Momentary Assessment (EMA) were administered to 109 past-month gamblers (84% with gambling problems). EMA measures included outcome expectancies (enjoyment/arousal, self-enhancement, money), self-efficacy, craving, negative emotional state, interpersonal conflict, social pressure, positive emotional state, financial pressures, and gambling behaviour (episodes, expenditure). Pre-EMA measures included problem gambling severity, motives, psychological distress, coping strategies, and outcome expectancies. No reciprocal relationships between EMA outcome expectancies and gambling behaviour (episodes, expenditure) were identified. Moderations predicting gambling episodes revealed: (1) cravings and problem gambling exacerbated effects of enjoyment/arousal expectancies; (2) positive emotional state and positive reframing coping exacerbated effects of self-enhancement expectancies; and (3) instrumental social support buffered effects of money expectancies. Positive outcome expectancies therefore constitute situational determinants of gambling behaviour, but only when they interact with other factors. All pre-EMA expectancies predicted problem gambling severity (OR = 1.61–3.25). Real-time interventions addressing gambling outcome expectancies tailored to vulnerable gamblers are required.

“What Game are We Playing?”: the Psychosocial Context of Problem Gambling and Gaming Among Italian High School Students

Gambling and gaming are not infrequent among adolescents and preventing low-risk youth from becoming at-risk appears to be a priority of public health strategies. Greater scrutiny of the risk and protective factors in the relationships and community of young people appears crucial in steering prevention initiatives adequately. This study aimed to explore how the qualities of relational networks (i.e. family functioning, perceived social and class support), family and peer approval and attitude to the social environment combine in predicting problem gambling, problem gaming and overall well-being among adolescents. High-school students aged 14-18 years (N: 595; female: 68,7%) completed a survey including the target variables. A multivariate multiple regression analysis was performed to examine the role of socio-demographic characteristic and psychosocial predictors on gaming, gambling, and well-being. Multivariate multiple regressions identify a common core underpinning problem gambling, gaming and poor well-being but also the distinct roles of psychosocial variables: being male, with low parental monitoring, higher gambling approval from family and friends and the tendency to have a reactive, extreme and negative attitude towards the social environment all interact in predicting problem gambling and gaming, which were also found to be associated. Poor family functioning, low support and a view of the social environment as anomic and untrustworthy interact in predicting poor well-being. On the whole the findings suggest the need to look more closely at the way adolescents, their system of activity and their culture interact with each other in constructing the meaning of gambling and gaming activities and their impact on adolescents’ well-being, so that future studies and strategies can more effectively examine the relational dynamics in which problem gambling and gaming develop.