Examining the relationship between non-suicidal self-harm and suicidality within the past 12-months and gaming problems in Norwegian full-time students.

BACKGROUND: Although gaming problems are associated with poor mental health, few population-based studies have examined its association with self-harm and suicidality. This study investigates the association between gaming problems, non-suicidal self-harm and suicidality within the past year, stratified by sex among Norwegian full-time students. METHODS: Data derived from the Norwegian Students' Health and Wellbeing Study 2022 (N = 59,544). The respondents were categorized into non-gamers, recreational gamers, engaged gamers, problematic gamers, and addicted gamers based on the Game Addiction Scale for Adolescents. Log-link binomial regression models, stratified by sex, adjusted for age, were used to estimate the risk ratio of non-suicidal self-harm (ideation and behavior) and suicidal behaviors (ideation and attempt) across different levels of gaming problems. RESULTS: Among females, the risk of non-suicidal self-harm and suicidal ideation increased from non-gamer to problem gamer, with no differences between problem and addicted gamers. Among males, the risk of non-suicidal self-harm increased from non-gamers to engaged gamers, but no differences were observed between engaged, problematic, and addicted gamers. No sex × gaming category interaction was observed for suicide attempts. Engaged and addicted gamers had higher risks of suicide attempt than non-gamers and recreational gamers. CONCLUSIONS: Gaming problems are associated with increased risk of non-suicidal self-harm and suicidal ideation among females. Among males, no differences were observed between engaged, problem and addicted gamers. The results highlight sex when studying health related outcomes and their association to level of gaming problems. Longitudinal studies are warranted to uncover the temporal mechanisms between IGD, non-suicidal self-harm and suicidality.

Suicidality among individuals with gambling problems: A meta-analytic literature review.

Gambling problems have consistently been linked to suicidality, including suicidal ideation, attempts, and suicide. However, the magnitude of the relationship has varied significantly across studies and the potential causal link between gambling problems and suicidality is currently unclear. A meta-analytic literature review was conducted to (a) synthesize pooled prevalence rates of suicidality among individuals with gambling problems; (b) determine if individuals with gambling problems had an increased likelihood of reporting suicidality compared to individuals without gambling problems; and (c) review evidence on causality and directionality. A search in Web of Science, APA PsycInfo, APA PsycNet, Medline, CINAHL, ProQuest, Embase, and Google Scholar electronic databases identified 107 unique studies (N = 4,691,899) that were included for review. Studies were included if they were available in any European language and provided sufficient data for the calculation of prevalence rates or effect sizes. Two researchers extracted the data independently using a predefined coding schema that included the Newcastle-Ottawa Quality Assessment Scale. Random-effects meta-analyses yielded pooled prevalence rates of 31.6% (95% CI [29.1%, 34.3%]) for lifetime suicidal ideation and 13.2% (95% CI [11.3%, 15.5%]) for lifetime suicide attempts. Individuals with gambling problems had significantly increased odds of reporting lifetime suicidal ideation (OR = 2.17, 95% CI [1.90, 2.48]) and lifetime suicide attempts (OR = 2.81, 95% CI [2.23, 3.54]) compared to individuals without gambling problems. Two studies reported that individuals with pathological gambling had an increased risk of dying by suicide. Metaregression analyses suggested that the risk of study bias was positively related to the prevalence rates of suicidal ideation. Sex proportions were found to moderate the odds of suicidal ideation, but the direction of the effect was inconsistent. For suicide attempts, psychiatric comorbidity and sample size were positively and inversely, respectively, associated with prevalence rates. The synthesis indicates that suicidality is common among individuals with gambling problems and hence should be addressed by help agencies. Inferences on causality and directionality are hampered by a lack of longitudinal studies. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Association between problem gambling and personality traits: a longitudinal study among the general Norwegian population.

Objective: The present study investigates the longitudinal relationship between problematic gambling (PG) and the five factor model's personality traits using autoregressive cross-lagged models. Methods: The data used in the current study was collected by a national survey in 2013 (n = 10,081) and a follow-up study (n = 5,848) in 2015. PG was measured using Canadian Problem Gambling Index (CPGI) while personality was assessed using Mini-International Personality Item Pool (MINI-IPIP). Participants who completed the CPGI and all the personality items during both waves (n = 2,702) were analysed. Results: The results show that neuroticism had positive cross-lagged associations with CPGI. In contrast, conscientiousness and agreeableness in 2013 were found to have inverse cross-lagged effect on CPGI in 2015. Finally, openness and extraversion did not have any cross-lagged associations with CPGI. Conclusion: PG poses serious negative implications for the involved individuals as well as their associated close social circle. Hence, it is important to understand predictors of PG for prevention purposes. Personality traits are one of the influential frameworks for examining uncontrolled psychopathological behaviors like PG. The study findings offer significant theoretical as well as practical implications.

Ethnicity as a risk factor for gambling disorder: a large-scale study linking data from the Norwegian patient registry with the Norwegian social insurance database.

BACKGROUND: The study investigated ethnicity as a risk factor for gambling disorder (GD), controlling for demographics, citizenship, and years of residency in Norway. METHODS: The sample comprised 65,771 individuals from a national patient registry (n = 35,607, age range 18-88 years) and a national social insurance database in Norway (n = 30,164, age rage 18-98 years). The data covered the period from 2008 to 2018. RESULTS: The results showed that when controlling for age and sex, ethnic minorities were overall less likely than those born in Norway to be diagnosed with GD (odds ratio [OR] ranging from 0.293 to 0.698). After controlling for citizenship and years of residency in Norway, the results were reversed and indicated that ethnic minorities were overall more likely to be diagnosed with GD (OR ranging from 1.179 to 3.208). CONCLUSION: The results suggest that citizenship and years of residency are important variables to account for when assessing the relationship between ethnicity and being diagnosed with GD. Our results may be explained by people from ethnic minority groups being more likely to experience gambling problems but less likely to seek contact with healthcare services for gambling problems.

Income and gambling disorder: A longitudinal matched case-control study with registry data from Norway.

Background: Untangling the association between gambling disorder (GD) and income is complex. Financial strain is often a consequence of GD. At the same time GD is more prevalent in the context of poverty, suggesting income may be a risk marker for GD. Aims: The aim of the present study was to investigate whether income is a risk marker for GD and whether the longitudinal average predicted income for patients with GD between 2008 and 2018 compared to control groups. The study also explored the potential heterogeneity in income trajectories for patients with GD and associated characteristics. Methods: A matched case-control longitudinal study was conducted using two Norwegian registries (i.e., the Norwegian Patient Registry and the Division of Welfare Statistics). A total of 65,771 participants were included, 5131 who were diagnosed with GD (cases), 30,467 diagnosed with any other psychiatric or somatic disorder (control), and 30,164 from the general population (control). Multinomial and ordinary least squares regressions, along with group-based trajectory models were estimated. Results: Individuals with GD were more likely to have income levels in the bottom quartile of the nationally reported average income in 2008 compared to the general population. However, this was not observed in the psychiatric/somatic group. Both GD and psychiatric/somatic groups were less likely to have average/above average income compared to the general population. Expected income for patients with GD was below national averages between 2008 and 2018, with significant group differences identified. Estimated trajectories for patients with GD resulted in a seven-group model. Males were more likely to have membership in higher income groups, whereas females and younger GD patients were more likely to belong to trajectory groups with the lowest income. Conclusion: The results suggest income is a risk marker for GD. Heterogeneity present across the income distribution for patients with GD, coupled with identifiable patient characteristics, may help in prediction and screening of GD.

Temporal order of diagnosis between gambling disorder and substance use disorders: Longitudinal results from the Norwegian Patient Registry.

Introduction: Previous research has established co-occurrence between substance use disorders (SUDs) and gambling disorder (GD). Less well understood is the temporal sequencing of onset between these disorders, and in particular whether SUD is a risk factor for GD. The present study examined the temporal order between registered diagnoses of SUD and GD, stratified by sex. Methods: A study with a longitudinal design using objective registry data drawn from the Norwegian Patient Registry was carried out. Among the patients with a registered diagnosis of GD between 2008 and 2018 (N = 5,131; males = 81.8%), those (who in addition) had a registered diagnosis of any SUD (n = 1,196; males = 82.1%) were included. The measures included a registered diagnosis using the ICD-10 of both GD (code F63.0) and SUDs (codes F10-F19) by a health care professional. Binomial tests were used to identify the temporal order between SUD(s) and GD. Co-occurring cases (i.e., cases diagnosed within the same month) were removed in the main analyses. Results: Results showed a significant directional path from SUD to GD but no support for the reversed path (i.e., from GD to SUD). This finding was similar overall for (i) both males and females, (ii) when different SUDs (alcohol, cannabis, sedatives, and polysubstance) were examined individually, and (iii) when specifying a 12-month time-lag between diagnoses. Conclusions: The findings suggest that experiencing SUD(s) is a risk marker for GD given the temporal precedence observed for patients in specialised healthcare services seeking treatment. These results should be considered alongside screening and prevention efforts for GD.

Marital status and gambling disorder: a longitudinal study based on national registry data.

BACKGROUND: Marital status is a robust correlate of disordered gambling, but few studies have examined the direction of this association. METHODS: The present study used a case-control design by including all adults receiving their first gambling disorder (GD) diagnosis between January 2008 to December 2018 (Norwegian Patient Registry, n = 5,121) and compared them against age and gender matched individuals with other somatic/psychiatric illnesses (Norwegian Patient Registry, n = 27,826) and a random sample from the general population (FD-Trygd database, n = 26,695). The study examined marital status before GD, getting divorced as a risk factor for future GD, and becoming married as a protective factor of future GD. RESULTS: The findings indicated an 8-9 percentage points higher prevalence of unmarried people and about a 5 percentage points higher prevalence of separation/divorce among those that subsequently experienced GD compared to controls. Logistic regressions showed that transition through divorce was associated with higher odds of future GD compared to illness controls (odds ratio [OR] = 2.45, 95% CI [2.06, 2.92]) and the general population (OR = 2.41 [2.02, 2.87]). Logistic regressions also showed that transition through marriage was associated with lower odds of future GD compared to illness controls (OR = 0.62, CI [0.55, 0.70]) and the general population (OR = 0.57, CI [0.50, 0.64]). CONCLUSIONS: Social bonds have previously been shown to impact physical and mental health, and the findings of the study emphasize the importance of considering social network history and previous relationship dissolution among individuals with GD.

Telescoping and gender differences in high-risk gambling: Loss limit behavior in a population of electronic gaming machine players.

OBJECTIVE: Telescoping refers to the accelerated progression from starting a potentially addictive behavior to reaching a disordered level. For disordered gambling, telescoping has been reported for women compared to men. Most previous studies on telescoping have used clinical samples and retrospective reports, but this study examined a nonclinical population of gamblers using electronically tracked gambling behavior. METHOD: The sample consisted of Norsk Tipping's Multix electronic gaming machine (EGM) customers during the period of March 2013-December 2018 (n = 184,113, 27.0% women, age range from 18 to 103 years, M = 41, SD = 16). We hypothesized that women would be older than men when first playing Multix and that the time between first playing Multix to reaching first loss limit (money one is allowed to lose) would be shorter for women compared to men. RESULTS: Welch two-sample t tests revealed that women were older than men at Multix gambling onset (Women: M = 46, SD = 17; Men: M = 40, SD = 15; p < .001). Kaplan-Meier revealed a median survival time of 46 months, 95% CI [45, 47], for women and 55 months, 95% CI [54, 56], for men before the first loss limit. Cox regression showed higher risk for meeting the loss limit for women compared to men, HR = 1.22, 95% CI [1.20, 1.25], p < .001, when controlling for age. CONCLUSION: Prevention efforts should consider that adult women playing EGMs appear to be at risk for developing high-risk gambling faster than men. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The relationship between substance use disorder and gambling disorder: A nationwide longitudinal health registry study.

Aim: This study aimed to examine the co-morbidity and temporal relationship between substance abuse disorders (SUDs) and gambling disorder (GD). Method: Cross-tabulated census data were retrieved from the Norwegian Patient Registry. The data included the number of patients by year of first-time incidence of GD and/or SUD diagnoses, age and sex from 2008 to 2017. Results: Approximately 22.5% of GD patients were also diagnosed with SUD, whereas 0.7% of SUD patients were also diagnosed with GD. Among GD patients, males had a greater risk of SUD in the same year compared to females, whereas the risk of SUD a year or more after the onset of GD was greater among females compared to males. Among SUD patients, males had a greater risk of GD in all age categories and across all time periods except among those aged 40-66 years. The risk of GD three to four years after the onset of SUD among those aged 40-66 years was similar between SUD males and females. Discussion: The overall co-morbidity of SUD and GD was low. However, the risk of the other addictive disorder was contingent upon the nature of the first disorder. The risk of SUD among GDs over time was greater among females compared to males. Conclusions: The risk of the other addictive disorder appears to be contingent upon the first addictive disorder. There are sex differences in the risk trajectories of the other addictive disorder over time between GD patients and SUD patients.

Different Typologies of Gamers Are Associated with Mental Health: Are Students DOOMed?

(1) Background: The inclusion of Internet Gaming Disorder in the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) led to a rapid development of assessment instruments based on the suggested diagnosis. However, previous studies suggest that some of the symptoms in the diagnosis reflect engagement in gaming rather than a disorder or addiction. The aim of the present cross-sectional study was to investigate mental health associations with different typologies of gamers. (2) Methods: Data stemmed from a large national survey of students (SHoT2022) that was conducted between February and April 2022 (N = 59,544). Participants were categorized into non-gamers, recreational gamers, engaged gamers, problematic gamers, and addicted gamers. Logistic regression models adjusted for age were analyzed with and without gender-stratification for mental distress and life satisfaction as dependent variables across gaming categories. (3) Results: The proportion reporting case-level mental distress was lower for recreational gamers compared to non-gamers, indicating fewer mental health problems for recreational gamers. However, after stratifying the analysis by gender, female recreational gamers had higher levels of mental distress compared to female non-gamers, reflecting Simpson's paradox. (4) Conclusions: Future studies investigating mental health and gaming should include a gender perspective.

Internet-based treatment of gambling problems: A systematic review and meta-analysis of randomized controlled trials.

BACKGROUND AND AIMS: The effect of internet-based psychological treatment for gambling problems has not been previously investigated by meta-analysis. The present study is therefore a quantitative synthesis of studies on the effects of internet-based treatment for gambling problems. Given that effects may vary according to the presence of therapist support and control conditions, it was presumed that subgroup analyses would elucidate such effects. METHODS: A systematic search with no time constraints was conducted in PsycINFO, MEDLINE, Web of Science, and the Cochrane Library. Two authors independently extracted data using a predefined form, including study quality assessment based on the Cochrane risk of bias tool. Effect sizes were calculated using random-effects models. Heterogeneity was indexed by Cochran's Q and the I 2 statistics. Publication bias was investigated using trim and fill. RESULTS: Thirteen studies were included in the analysis. Random effects models at post-treatment showed significant effects for general gambling symptoms (g = 0.73; 95% CI = 0.43-1.03), gambling frequency (g = 0.29; 95% CI = 0.14-0.45), and amount of money lost gambling (g = 0.19; 95% CI = 0.11-0.27). The corresponding findings at follow-up were g = 1.20 (95% CI = 0.79-1.61), g = 0.36 (95% CI = 0.12-0.60), and g = 0.20 (95% CI = 0.12-0.29) respectively. Subgroup analyses showed that for general gambling symptoms, studies with therapist support yield larger effects than studies without, both post-treatment and at follow-up. Additionally, on general gambling symptoms and gambling frequency, there were lower effect sizes for studies with a control group compared to studies without a control group at follow-up. Studies with higher baseline severity of gambling problems were associated with larger effect sizes at both posttreatment and follow-up than studies with more lenient inclusion criteria concerning gambling problems. DISCUSSION AND CONCLUSIONS: Internet-based treatment has the potential to reach a large proportion of persons with gambling problems. Results of the meta-analysis suggest that such treatments hold promise as an effective approach. Future studies are encouraged to examine moderators of treatment outcomes, validate treatment effects cross-culturally, and investigate the effects of novel developments such as ecological momentary interventions.

The Effects of Responsible Gambling Pop-Up Messages on Gambling Behaviors and Cognitions: A Systematic Review and Meta-Analysis.

Pop-up messages utilized by gambling operators are normally presented to gamblers during gambling sessions in order to prevent excessive gambling and/or to help in the appraisal of maladaptive gambling cognitions. However, the effect of such messages on gambling behavior and gambling cognitions has not previously been synthesized quantitatively. Consequently, a meta-analysis estimating the efficacy of pop-up messages on gambling behavior and cognitions was conducted. A systematic literature search with no time constraints was performed on Web of Science, PsychInfo, Medline, PsychNET, and the Cochrane Library. Search terms included "gambling," "pop-up," "reminder," "warning message," and "dynamic message." Studies based on randomized controlled trials, quasi-experimental designs and pre-post studies reporting both pre- and post-pop-up data were included. Two authors independently extracted data using pre-defined fields including quality assessment. A total of 18 studies were included and data were synthesized using a random effects model estimating Hedges' g. The effects of pop-ups were g = 0.413 for cognitive measures (95% CI = 0.115-0.707) and g = 0.505 for behavioral measures (95% CI = 0.256-0.746). For both outcomes there was significant between-study heterogeneity which could not be explained by setting (laboratory vs. naturalistic) or sample (gambler vs. non-gamblers). It is concluded that pop-up messages provide moderate effects on gambling behavior and cognitions in the short-term and that such messages play an important role in the gambling operators' portfolio of responsible gambling tools.

Does Individual Gambling Behavior Vary across Gambling Venues with Differing Numbers of Terminals? An Empirical Real-World Study using Player Account Data.

Research examining gambling behavior via experiments, self-report, and/or observation presents many methodical challenges particularly in relation to objectivity. However, the use of player account-based gambling data provides purely objective data. Based on this real-world data, the primary aim of the present study was to examine gambling behavior in gambling venues with different numbers of gambling terminals (i.e., venues with one terminal; 2-5 terminals; 6-10 terminals; 11-16 terminals). Player account-based gambling data aggregated over a year (2015) amounting to 153,379 observations within 93,034 individual gamblers (males = 74%; mean age = 44.1, SD = 16.4 years) were analyzed. Gambling frequency was highest in venues with 2-5 terminals (54.5%) and lowest in venues with 11-16 terminals (1.6%). Approximately half of the sample (52.5%) gambled in only one venue category, with the majority (81.5%) preferring venues with 2-5 terminals present. Only 0.8% of the sample gambled in all four venue categories. Compared to venues with one terminal, venues with two or more terminals were associated with gamblers placing more bets, and spending more time and money per session. However, gamblers had higher losses (albeit small) in venues with one terminal compared to venues with 2-5 terminals. No differences in net outcome were found between venues with one terminal and those with 6-10 and 11-16 terminals. Overall, the present study demonstrates that in the natural gambling environment, gambling behavior is reinforced in venues with multiple terminals.

The effects of alcohol expectancy and intake on slot machine gambling behavior.

Background and aims Although alcohol intake and gambling often co-occur in related venues, there is conflicting evidence regarding the effects of alcohol expectancy and intake on gambling behavior. We therefore conducted an experimental investigation of the effects of alcohol expectancy and intake on slot machine gambling behavior. Methods Participants were 184 (females = 94) individuals [age range: 18-40 (mean = 21.9) years] randomized to four independent conditions differing in information/expectancy about beverage (told they received either alcohol or placebo) and beverage intake [actually ingesting low (target blood alcohol concentration [BAC] < 0.40 mg/L) vs. moderate (target BAC > 0.40 mg/L; ≈0.80 mg/L) amounts of alcohol]. All participants completed self-report questionnaires assessing demographic variables, subjective intoxication, alcohol effects (stimulant and sedative), and gambling factors (behavior and problems, evaluation, and beliefs). Participants also gambled on a simulated slot machine. Results A significant main effect of beverage intake on subjective intoxication and alcohol effects was detected as expected. No significant main or interaction effects were detected for number of gambling sessions, bet size and variation, remaining credits at termination, reaction time, and game evaluation. Conclusion Alcohol expectancy and intake do not affect gambling persistence, dissipation of funds, reaction time, or gambling enjoyment.

The Relationships between Mental Health Symptoms and Gambling Behavior in the Transition from Adolescence to Emerging Adulthood.

There is a paucity of longitudinal investigations of gambling behavior in the transition from adolescence to emerging adulthood. We conducted a longitudinal investigation of the associations and patterns of change between mental health symptoms and gambling behavior. A representative sample of Norwegians completed questionnaires containing demographic, mental health, and gambling measures at age 17 (N = 2055), and at ages 18 (N = 1334) and 19 (N = 1277). Using latent class analysis, three classes of gambling behavior were identified: consistent non-gambling (71.1%), consistent non-risk gambling (23.8%), and risky-and-problem gambling (5.1%). Being male, showing higher physical and verbal aggression and having more symptoms of depression were associated with greater odds of belonging to the risky-and-problem gambling class at age 17. Overall, the risky-and-problem gambling class had the highest physical and verbal aggression, anxiety, and depression at 19 years. Our findings elucidate the reciprocal relationship between mental health and gambling behavior in the transition from adolescence to emerging adulthood, and the importance of recognizing these factors in designing targeted interventions.

The Relationship Between Structural Game Characteristics and Gambling Behavior: A Population-Level Study.

The aim of this study was to examine the relationship between the structural characteristics and gambling behavior among video lottery terminal (VLT) gamblers. The study was ecological valid, because the data consisted of actual gambling behavior registered in the participants natural gambling environment without intrusion by researchers. Online behavioral tracking data from Multix, an eight game video lottery terminal, were supplied by Norsk-Tipping (the state owned gambling company in Norway). The sample comprised the entire population of Multix gamblers (N = 31,109) who had gambled in January 2010. The individual number of bets made across games was defined as the dependent variable, reward characteristics of a game (i.e., payback percentage, hit frequency, size of winnings and size of jackpot) and bet characteristics of a game (i.e., range of betting options and availability of advanced betting options) served as the independent variables. Control variables were age and gender. Two separate cross-classified multilevel random intercepts models were used to analyze the relationship between bets made, reward characteristics and bet characteristics, where the number of bets was nested within both individuals and within games. The results show that the number of bets is positively associated with payback percentage, hit frequency, being female and age, and negatively associated with size of wins and range of available betting options. In summary, the results show that the reward characteristics and betting options explained 27% and 15% of the variance in the number of bets made, respectively. It is concluded that structural game characteristics affect gambling behavior. Implications of responsible gambling are discussed.