Problem Gambling Severity Index Scores Research Articles

The relationship between gambling behaviour and gambling-related harm: A data fusion approach using open banking data.

UK-based gambling policymakers have proposed affordability checks starting at monthly losses of £125. The present study combines open banking data with self-reports of the Problem Gambling Severity Index (PGSI) and other relevant information to explore the harm profiles of people who gamble at different levels of electronic gambling behaviour. This was a data fusion study in which participants consented to share their bank data via an open banking application programming interface (API) and who also completed relevant self-report items. Hierarchical hurdle models were used to predict being an at-risk gambler (PGSI > 0) and being a 'higher-risk' gambler (higher PGSI scores among those with non-zero scores) using four specifications of electronic gambling behaviour (net-spend, outgoing expenditure, incoming withdrawals, interaction model combining expenditure and withdrawals), and by adding self-reported data across two additional steps. The study took place in the United Kingdom. Participants were past-year people who gamble (n = 424), recruited via Prolific. Self-report measures were used of gambling-related harm (PGSI), depression [Patient Health Questionnaire 9 (PHQ-9)], age and gender; bank-recorded measures of income and electronic gambling behaviour. Unharmed gamblers had an average monthly gambling net-spend of £16.41, compared with £208.91 among highest-risk gamblers (PGSI ≥ 5). Being an at-risk gambler (PGSI > 0) was predicted significantly by all four types of gambling behaviour throughout all three steps [1.08 ≤ odds ratios (ORs) ≤ 2.92; Ps < 0.001), with only outgoing expenditure being significant in the interaction model (2.26 ≤ ORs ≤ 2.81; Ps < 0.001). Higher PHQ-9 scores also predicted at-risk gambling in steps 2-3 (1.09 ≤ ORs ≤ 1.10; Ps < 0.001), as did lower age (0.95 ≤ ORs ≤ 0.96; Ps < 0.001) and male gender identity in step 3 (2.51 ≤ ORs ≤ 2.95; Ps < 0.001). Being a higher-risk gambler was predicted significantly by gambling behaviour only in the expenditure-only (1.16 ≤ ORs ≤ 1.17; Ps ≤ 0.048) and withdrawal-only (1.08 ≤ ORs ≤ 1.09; Ps ≤ 0.004) models, and was not predicted by income (0.98 ≤ ORs ≤ 1.14; Ps ≥ 0.601), age (0.98 ≤ ORs ≤ 0.99; Ps ≥ 0.143) or male gender identity (1.07 ≤ ORs ≤ 1.15; Ps ≥ 0.472). The UK government's proposed affordability checks for gamblers should rarely affect people who are not experiencing gambling-related harm. At-risk gambling is predicted well by different types of gambling behaviour. Novel insights about gambling can be generated by fusing self-reported and objective data.

Disordered gambling, or dependence and consequences: a bifactor exploratory structural equation model analysis of the problem gambling severity index

Background The Problem Gambling Severity Index (PGSI) is a widely used assessment of disordered gambling. However, it has been claimed that instead of measuring a single factor of problem gambling severity, the PGSI measures two correlated factors of behavioral dependence and harms/consequences. The existing literature using exploratory and confirmatory factor analysis has notable limitations that mean these accounts cannot be discriminated. Method Secondary data from 13 nationally representative surveys of gamblers in the UK (n = 42,422) between 2007 and 2023 were used to examine five different approaches to specifying one- and two-factor models of the PGSI. Results Overall, the findings supported a single construct account. Fit indices provided slight support for a two-factor model. However, the composition and loadings of these factors did not replicate in the disaggregated datasets and demonstrated poor model-based reliability. The best-fitting model was a bifactor ESEM model with a general gambling severity factor and a group-specific factor subsuming additional covariance between the first three or four items. Conclusions This study provides support for a unitary gambling severity construct and the use of total PGSI scores. The second factor observed elsewhere appears to consist of residual covariances between the first 3-4 PGSI items or a methods factor that can be explained by item framing (e.g. items that ask about gambling behavior).

The association between health-related quality of life and problem gambling severity: a cross-sectional analysis of the Health Survey for England

BackgroundProblem gambling can lead to health-related harms, such as poor mental health and suicide. In the UK there is interest in introducing guidance around effective and cost-effective interventions to prevent harm from gambling. There are no estimates of the health state utilities associated with problem gambling severity from the general population in the UK. These are required to determine the cost-effectiveness of interventions. This study aims to use an indirect elicitation method to estimate health state utilities, using the EQ-5D, for various levels of problem gambling and gambling-related harm.MethodsWe used the Health Survey for England to estimate EQ-5D-derived health state utilities associated with the different categories of the Problem Gambling Severity Index (PGSI), PGSI score and a 7-item PGSI-derived harms variable. Propensity score matching was used to create a matched dataset with respect to risk factors for problem gambling and regression models were used to estimate the EQ-5D-derived utility score and the EQ-5D domain score whilst controlling for key comorbidities. Further exploratory analysis was performed to look at the relationship between problem gambling and the individual domains of the EQ-5D.ResultsWe did not find any significant attributable decrements to health state utility for any of the PGSI variables (categories, score and 7-item PGSI derived harms variable) when key comorbidities were controlled for. However, we did find a significant association between the 7-item PGSI derived harms variable and having a higher score (worse health) in the anxiety/depression domain of the EQ-5D, when comorbidities were controlled for.ConclusionsThis study found no significant association between problem gambling severity and HRQoL measured by the EQ-5D when controlling for comorbidities. There might be several reasons for this including that this might reflect the true relationship between problem gambling and HRQoL, the sample size in this study was insufficient to detect a significant association, the PGSI is insufficient for measuring gambling harm, or the EQ-5D is not sensitive enough to detect the changes in HRQoL caused by gambling. Further research into each of these possibilities is needed to understand more about the relationship between problem gambling severity and HRQoL.

Prevalence of suspected autism spectrum disorder and attention‐deficit hyperactivity disorder in a Japanese clinical sample with gambling disorder: A cross‐sectional study

AbstractAimStudies show gambling disorders are associated with attention‐deficit hyperactivity disorder (ADHD). The association between gambling disorders and autism spectrum disorder (ASD) has not been well studied, although ASD is often comorbid with ADHD and is associated with gaming disorder. The aim of this study was to estimate the prevalence of ASD and ADHD traits comorbid with gambling disorders and to examine the relationships between these traits and gambling problems in a clinical population.MethodsThis single‐site cross‐sectional study was conducted at a Japanese addiction outpatient clinic treating gambling disorders. The Autism‐Spectrum Quotient (AQ) test and the Adult ADHD Self‐Report Scale (ASRS) were used to screen ASD and ADHD. The Problem Gambling Severity Index (PGSI) was used to assess the severity of the gambling problems. We calculated the prevalence of suspected ASD and ADHD with 95% confidence intervals (CI) based on a binomial distribution and performed univariate analyses to examine the relationships between the AQ and ASRS scores and the total PGSI score.ResultsWe included 97 of 197 potential participants. After screening the participants using the AQ and ASRS, we found that the prevalence of ASD traits was 29.8% (95% CI: 21.0%–40.2%), while the prevalence of ADHD traits was 26.0% (95% CI: 17.9%–36.2%). Univariate regression analyses revealed that the total AQ score was inversely associated with the total PGSI score. However, the total ASRS score and some ASRS subscores were positively associated with the total PGSI score.ConclusionASD and ADHD may be prevalent among patients with gambling disorders in clinical settings.

Separating Behaviours and Adverse Consequences in the Problem Gambling Severity Index (PGSI): A Confirmatory Factor Analysis and Rasch Analysis.

The Problem Gambling Severity Index (PGSI) is considered the "gold standard" for measuring problem gambling. The PGSI provides a single score summed across nine items. The nine items of the PGSI comprise two subdomains: problematic behaviours and adverse consequences. The aim of the present study was to compare evidence of a one-factor structure to evidence of a two-factor structure representing the two subdomains. With a sample of 1,251 bettors, we conducted confirmatory factor analyses and Rasch analyses to assess evidence supporting the one-factor and the two-factor structures. In addition, stochastic search variable selection was conducted with the total PGSI score, PGSI behaviour score, and PGSI adverse consequences score as separate outcomes to examine whether information is lost when collapsing the two subdomains into a single factor. Overall, there was stronger support of a two-factor structure than a one-factor structure. However, the two-factors were highly correlated with one another and shared most predictors except for one. We recommend continued use of the one-factor structure of the PGSI unless one aims to better understand the relationship between problematic behaviours and adverse consequences.

Two for the GOES: Exploring Gambling Outcome Expectancies Scores Across Mixed and Offline-Only Gamblers in Relation to Problem Gambling Risk Status.

As online gambling becomes more prevalent, understanding the motives of online gamblers has become a key focus for research and practice. The aim of this study was to understand differences in gambling-related outcome expectancies between mixed (both online and offline) gamblers and offline-only gamblers, by incorporating gambling harm risk categories from the problem gambling severity index (PGSI). This study comprised a secondary data analysis of the 2015 Northern Territory Gambling Prevalence and Wellbeing Survey. A sample of 1207 individuals in the Northern Territory who had reported gambling at least once in the previous 12months were used in the analyses. General linear and structural equation modelling were used to ascertain differences in gambling outcome expectancies, in relation to gambling modality (i.e., mixed, offline-only) and PGSI scores. Mixed gamblers tended to score higher on all outcome expectancies than their offline-only counterparts. Outcome expectancy scoreswere higher in individuals in higher-risk PGSI categories. The escape outcome expectancy was dependent on both modality and risk category. Invariance testing of a low and problem gambling risk subsample revealed differential relationships for both the escape and excitement outcome expectancies for mixed and offline-only gamblers. The results provide an important contribution to the existing literature regarding motivation and outcome expectancies in relation to gambling modality and problem gambling severity. The findings highlight the importance of considering both gambling outcome expectancies and modality when considering problem gambling.

Development of the Online Problem Gaming Behavior Index: A New Scale Based on Actual Problem Gambling Behavior Rather Than the Consequences of it.

Many items in current problem gambling screens focus on negative consequences of gambling and gambling-related harms. However, few problem gambling screens comprise items that are totally based on actual gambling behavior such as gambling duration, gambling frequency, or gambling late at night. The aim of the present study was to develop and validate the 12-item Online Problem Gambling Behavior Index (OPGBI). A total of 10,000 online Croatian gamblers were administered the OPGBI alongside the nine-item Problem Gambling Severity Index (PGSI), as well as questions regarding types of gambling engaged in and socio-demographic factors. The 12 OPGBI items mainly concern actual gambling behavior. The correlation between OPGBI and PGSI was highly significant (r = 0.68). Three latent factors in the OPGBI were identified (gambling behavior, limit setting, communication with operator). The three factors all significantly correlated with the PGSI score (R2- = 51.8%). The fact that pure gambling behavior related items explained over 50% of the PGSI score strengthens the idea that player tracking could be an important approach in identifying problem gambling.

Changes in severity of problem gambling and subsequent suicide attempts: a longitudinal survey of young adults in Great Britain, 2018–20

Cross-sectional studies identify problem gambling as a risk factor for suicidality. Using an online longitudinal survey, we aimed to examine the association between changes in severity of gambling behaviour and attempted suicide. The Emerging Adults Gambling Survey is a longitudinal survey of people in England, Scotland, and Wales, aged 16-24 years interviewed online between June 25 and Aug 16, 2019 (wave 1) and 1 year later between July 13 and Oct 8, 2020 (wave 2). The Problem Gambling Severity Index (PGSI) was administered at both waves. Multivariable logistic regression models examined wave 1 PGSI score and between-wave change in PGSI score as risk factors for suicide attempts at wave 2, unadjusted and with adjustment for wellbeing, anxiousness, impulsivity, perceived loneliness, and suicide attempts at wave 1. 3549 participants were interviewed in wave 1 and 2094 were interviewed in wave 2, of whom 1941 were included in this analysis (749 [39%] men; 1192 women [61%]). Prevalence of attempted suicide did not change between waves (wave 1: 3·7% [95% CI 2·9-4·8], n=75; wave 2: 3·3% [2·5-4·3], n=65). 78·9% (95% CI 76·7-80·9, n=1575) of participants had stable PGSI scores between the two waves, 13·7% (11·9-15·6, n=233) of participants had a decrease in PGSI score by 1 or more, and 7·5% (6·2-8·9, n=133) had an increase in PGSI score by 1 or more. An increase in PGSI scores over time was associated with suicide attempt at wave 2, even with adjustment for baseline PGSI score and other factors (adjusted odds ratio 2·74 [95% CI 1·20-6·27]). Wave 1 PGSI score alone was not associated with suicide attempt at wave 2 in fully adjusted models. Repeated routine screening for changes in gambling harm could be embedded in health, social care, and public service settings to allow effective identification and suicide prevention activities among young adults. Wellcome Trust.

The relationship between problematic gambling severity and engagement with gambling products: Longitudinal analysis of the Emerging Adults Gambling Survey.

To measure the association between problem gambling severity and 19 different gambling activities among emerging adults (aged 16-26). An online non-probability longitudinal survey collecting data in two waves: wave 1, July/August 2019; wave 2, July/October 2020. Great Britain PARTICIPANTS: A total of 2080 young adults participating in both waves. Problem gambling scores were collected using the Problem Gambling Severity Index (PGSI). Binary variables recorded past year participation in 19 different gambling forms, ranging from lotteries to online casino and gambling-like practices within digital games (e.g. loot box purchase, skin betting). Controls included socio-demographic/economic characteristics, the Eysenck Impulsivity Scale and the number of gambling activities undertaken. Zero inflated negative binomial model lacked evidence of an effect between past year participation in any individual activities and subsequent PGSI scores. However, negative binomial random effects models for current gamblers (n= 497) showed that skin betting (incidence-rate ratio [IRR] = 2.32; 95% CI = 1.69-3.19), fixed odd betting terminals (IRR = 2.21, 95% CI = 1.61-3.05), slot/fruit machines (IRR = 1.43, 95% CI = 1.07-1.91), online betting on horse/dog races (IRR = 1.53, 95% CI = 1.17-2.00) and online betting on non-sports events (IRR = 1.44, 95% CI = 1.11-1.89) were associated with increased PGSI scores. Online casino gambling had a significant interaction by wave; the impact of online casino betting in wave 2 on PGSI scores increased by a factor of 1.61. Past year participation of young adults (aged 16-26) in certain forms of gambling does not appear to be associated with future Problem Gambling Severity Index scores. Among young adults who are current gamblers, past year participation in certain land-based (e.g. electronic gaming machines) and online forms (e.g. skin betting) of gambling appears to be strongly associated with elevated Problem Gambling Severity Index scores.

Gamblers’ Perceptions of the Impact of the COVID-19 Pandemic on Their Gambling Behaviours: Analysis of Free-Text Responses Collected through a Cross-Sectional Online Survey

The COVID-19 pandemic has brought drastic changes to the lives of a substantial portion of the world's population. Many stakeholders have expressed concern about the impact of the pandemic on gambling practices, which have historically increased during times of crisis. The purpose of this study was to provide a snapshot of the impact of the pandemic on gambling practices, focusing on the lived experiences of people who gamble. An online cross-sectional survey was conducted between 16 February and 15 March 2021. An open-ended question allowed the participants to describe in their own words the impact of the COVID-19 pandemic on their gambling practices. A qualitative analysis was conducted based on 724 responses to this question. Among the participants, 57% were problem gamblers, according to their Problem Gambling Severity Index score. Three themes were identified: (1) changes in gambling practices perceived by the respondents during the pandemic, (2) the impacts of these changes, and (3) the factors that influenced the changes in their gambling practices. A meaningful proportion of the sample of gamblers felt that their gambling practices had increased during the pandemic. Many of them did not report the deleterious effects of this increase, whereas others were devastated. Thus, variations in gambling practices during the pandemic must be interpreted with caution, as they may reflect a variety of realities.

Is the economic model of gambling dependent on problem gambling? Evidence from an online survey of regular sports bettors in Britain

ABSTRACT Understanding how the gambling industry generates revenue is of paramount importance. Questions about whether higher volumes of expenditure are concentrated among a small proportion of gamblers, and how this varies by problematic gambling status, underpin policy debate about consumer protection. Analyzing data from two timepoints (T0; T2) from a British longitudinal study of regular sports bettors, we explored both for total (gross) spend and gross spend on individual activities: (a) the concentration of self-reported spend on gambling among individuals; and (b) the extent to which spending was disproportionately generated by those with elevated Problem Gambling Severity Index (PGSI) scores. Results showed that gross gambling expenditure was unequal (GINI-coefficient >0.70 for most activities). At both timepoints, those with a PGSI score of 3+ had an elevated share of spending: at T2, 14.1% of PGSI 3+ gamblers accounted for 43.5% of gross gambling spend. There were differences by activity: lotteries displayed less reliance on those with a PGSI score of 3+ whereas this group contributed over 80% of gross spend on online casinos. Policy attention should focus on reframing the underlying economic model on which some gambling activities are predicated, creating more equal patterns of consumption and less reliance on those harmed.

Affective impulsivity moderates the relationship between disordered gambling severity and attentional bias in electronic gaming machine (EGM) players.

Background and aimsAttentional bias to gambling-related stimuli is associated with increased severity of gambling disorder. However, the addiction-related moderators of attentional bias among those who gamble are largely unknown. Impulsivity is associated with attentional bias among those who abuse substances, and we hypothesized that impulsivity would moderate the relationship between disordered electronic gaming machine (EGM) gambling and attentional bias.MethodsWe tested whether facets of impulsivity, as measured by the UPPS-P (positive urgency, negative urgency, sensation seeking, lack of perseverance, lack of premeditation) and the Barratt Impulsiveness Scale-11 (cognitive, motor, non-planning) moderated the relationship between increased severity of gambling disorder, as measured by the Problem Gambling Severity Index (PGSI), and attentional bias. Seventy-five EGM players participated in a free-viewing eye-tracking paradigm to measure attentional bias to EGM images.ResultsAttentional bias was significantly correlated with Barratt Impulsiveness Scale-11 (BIS-11) motor, positive urgency, and negative urgency. Only positive and negative urgency moderated the relationship between PGSI scores and attentional bias. For participants with high PGSI scores, higher positive and negative urgency were associated with larger attentional biases to EGM stimuli.DiscussionThe results indicate that affective impulsivity is an important contributor to the association between gambling disorder and attentional bias.

Gambling problems and associated harms in United Kingdom Royal Air Force personnel

International evidence indicates that currently serving and former military personnel may be at heightened vulnerability to problem gambling. The aim of the present study was to undertake the first survey of gambling experience and potential problems among serving United Kingdom Royal Air Force (RAF) personnel. Our objectives were to survey the frequency of gambling problems, types of gambling activities, examine mental health, alcohol use, and COVID-19-related associations with gambling, and identify potential risk factors for problem gambling among RAF personnel. A cross-sectional online survey was distributed to all serving RAF personnel in January 2021 and the final dataset consisted of n = 2119 responses. The Problem Gambling Severity Index (PGSI) identified gambling severity, the Patient Health Questionnaire (PHQ-9) assessed depression, the Generalized Anxiety Disorder assessment (GAD-7) measured anxiety, and alcohol use was assessed with the Alcohol Use Disorders Identification Test (AUDIT). Questions relating to COVID-19 asked whether the pandemic had impacted one’s gambling, mental health, and alcohol use. Findings indicated that 12.5% of personnel reported gambling problems, which included 8.0% with PGSI scores indicating low-risk gambling (1–2), 2.9% with moderate-risk gambling scores (3–4), and 1.6% with scores indicating problem gambling (≥8). Most personnel had no symptoms of depression or anxiety, and most experienced lower risk drinking levels. The likelihood of any gambling problem (PGSI ≥ 1) in RAF personnel was associated with age (18–24 years old), male gender, and Non-Commissioned ranks. Most participants reported a deterioration in their mental health due to COVID-19 and increased risky gambling. These findings indicate that gambling problems and associated harms are significant concerns for serving RAF personnel.

Changes in Self-Reported Web-Based Gambling Activity During the COVID-19 Pandemic: Cross-sectional Study.

BackgroundThe COVID‑19 pandemic has affected not only somatic health with over 3.7 million deaths worldwide, but also has had a huge impact on psychological health, creating what amounts to a mental health crisis. The negative effect of the pandemic on traditional addictions is well described and concerning, and the same has been seen for gambling.ObjectiveThis study explores self-reported web-based gambling behavior during the COVID‑19 pandemic in Sweden. We investigated overall changes, but also changes in specific web-based gambling types, and whether they are associated with certain risk factors or lifestyle changes.MethodsOur study is based on an anonymous web-based survey of web panel participants in Sweden (N=1501) designed to study a range of behavioral changes during the COVID‑19 pandemic. Increases in gambling were analyzed using logistic regression models against sociodemographic data and psychological distress.ResultsThe majority of the respondents who gambled reported no changes in their gambling habits during the COVID‑19 pandemic. We found significant associations with the problem gambling severity index (PGSI), the Kessler score (indicating psychological distress), employment status, changes in alcohol habits, and self-exclusion when looking at overall changes in gambling activity in the pandemic. In the subgroup that reported an increase in gambling activity, we found an association with both the PGSI and Kessler scores. The PGSI score was also an independent predictor for all specific web-based gambling (horses, sports, poker, and casino) whereas the Kessler score only had a significant impact on changes in casino gambling. In addition, male gender was an independent predictor for gambling on sports and casino gambling.ConclusionsThe majority of respondents who gambled reported no changes in their gambling activity during the COVID‑19 pandemic. The group that reported an increase in overall gambling activity during the COVID-19 pandemic represent a group with gambling problems and psychological distress. The group that reported increased sports and casino gambling were often male, and this group seemed to experience more psychological distress.

Predicting disordered gambling across adolescence and young adulthood from polygenic contributions to Big 5 personality traits in a UK birth cohort.

Previous research has demonstrated phenotypical associations between disordered gambling (DG) and Big 5 personality traits, and a twin study suggested that shared genetic influences accounted for a substantial portion of this relation. The present study examined associations between DG and polygenic scores (PSs) for Big 5 traits to measure the shared genetic underpinnings of Big 5 personality traits and DG. Zero-inflated negative binomial regression models estimated associations between Big 5 PSs and past-year and life-time assessments of DG in a longitudinally assessed population-based birth cohort. United Kingdom. A total of 4729 unrelated children of European ancestry from the Avon Longitudinal Study of Parents and Children (ALSPAC) with both phenotypical and genetic data. Phenotypical outcomes included past-year assessment of DG using the problem gambling severity index (PGSI) and life-time assessment of DSM-IV pathological gambling symptoms (DPG) across the ages of 17, 20 and 24 years. Polygenic scores were derived for the Big 5 personality traits of agreeableness, extraversion, conscientiousness, openness and neuroticism using summary statistics from genome-wide association studies (GWAS). PSs for agreeableness [β= - 0.25, standard error (SE) = 0.054, P = 3.031e-6, ΔR2 = 0.008] and neuroticism (β=0.14, SE = 0.046, P = 0.0017, ΔR2 = 0.002) significantly predicted PGSI scores over and above included covariates (i.e. sex and first five ancestral principal components). PSs for agreeableness (β= - 0.20, SE = 0.056, P = 0.00036, ΔR2 = 0.003) and neuroticism, when interactions with age were taken into account (β = 0.29, SE = 0.090, P = 0.002, ΔR2 = 0.004), also predicted DPG scores. Polygenic contributions to low agreeableness and high neuroticism appear to predict two measures of disordered gambling (problem gambling severity index and life-time assessment of DSM-IV pathological gambling symptoms). Polygenic scores for neuroticism interact with age to suggest that the positive association becomes stronger from adolescence through young adulthood.

Gambler clusters and problem gambling severity: A cluster analysis of Swedish gamblers accessing an online problem gambling screener.

It has been proposed that overall gambling involvement has a stronger association with problem gambling (PG) than any specific game type. However, few studies have used multiple analytic approaches on the same data set to assess these relationships. The aims of the current study were to identify patterns of gambling activity (PGAs) and to assess the relationships between different game types, PGAs, gambling involvement, and PG as measured by the Problem Gambling Severity Index (PGSI), using two different approaches. In a sample of Swedish gamblers who screened their gambling habits at the Swedish national gambling helpline website (N = 7,463, 79% males), seven different PGAs were identified. Increased gambling involvement was associated with PG severity, and the strength of the association varied by game type. Online casino games and electronic gambling machines had the weakest involvement effect and lotteries the strongest. Almost 50% of the gamblers belonged to the online casino PGA, characterized by online casino gambling. Gamblers in this PGA showed higher PGSI scores compared to three PGAs: online sports/online casino, horse/lottery, and online sports, and they had lower PGSI scores compared to the diverse PGA, characterized by engagement in all game types. No differences in PGSI scores were found between gamblers in three PGAs with high probability of online casino gambling but with varying engagement levels in other game types. In a Swedish context, the results from this study indicate that the focus of prevention and regulation should be on game types with the strongest associations with PG, namely, online casino games. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Gambling and military Service: Characteristics, comorbidity, and problem severity in an epidemiological sample

Active military members and veterans both show elevated risk of Gambling Disorder. However, research comparing these groups to civilians in epidemiological samples is sparse. There is also some research suggesting that there is a stronger association between military service and poor mental outcomes for women.The current study applies bivariate analyses and generalized linear modelling predicting Problem Gambling Severity Index scores to a representative, complex survey sample of 2176 New Jersey adult residents.The results show that problem gambling scores for past and current military service members were more than double that of the civilian participants after controlling for relevant demographic and behavioral characteristics. Additionally, the relationship between problem gambling scores and military service was significantly stronger for women than men. Bivariate analyses indicated that active military service members scored higher on the Problem Gambling Severity Index, indicated greater weekly participation in online gambling, lottery, electronic gambling machine, and sports betting, and nearly 20 times the rate of suicidal ideation compared with civilians. Additional regression analysis show that among military service members problem gambling scores were associated with suicidal ideation, tobacco use, and substance use problems.The results are discussed in the context of a period of expansion of online gambling opportunities. Constrained options for leisure coupled with the high propensity for risk taking among military service members and the relative ease of concealing online gambling on base may expose military service members to disproportionately higher risk of Gambling Disorder.

Online Survey of Gambling Participation and Problem Gambling in Chiba City: Problem Gambling Rates May be Strongly Influenced by the Administration Mode.

Prevalence studies on gambling participation and problem gambling in Japan have been limited. To obtain data showing the current status of gambling in Japan, we conducted an online survey on gambling participation and problem gambling among residents in Chiba City. The online data collection was conducted through an Internet research firm. Questionnaires were consisted of personal demographics, past-year gambling participation and severity of gambling risks. The Problem Gambling Severity Index (PGSI) was used as a survey instrument. Males (51.5%) were significantly more likely than females (25.5%) to have gambled in the past year. Problem gamblers (PGSI score ≧ 8) were 7.2% among males and 1.2% among females. Problem gambling was strongly correlated with frequent gambling, preference for Pachinko/Slot and smoking habit. The gambling participation rates were roughly lower than those reported in many overseas jurisdictions, whereas the problem gambling rates were considerably higher than those reported in the same jurisdictions. According to the total consumption model, it would be reasonable to consider that gambling participation rates show a positive correlation with problem gambling rates. The high levels of problem gambling may be due to the administration mode using online sampling, by which answers admitting unapprovable behaviors like problem gambling tend to increase. This suggests that the previous studies using conventional face-to-face or telephone methods may have underestimated problem gambling rates.

Psychometric Validation of the Persian Version of the Problem Gambling Severity Index

The Problem Gambling Severity Index (PGSI) has been the most frequently used instrument for prevalence studies for problem gambling in recent years. To date, there have been very few gambling studies among Persian populations. The objective of the present study was to investigate the reliability and validity of the Persian version of the PGSI. The original version of the PGSI was translated and back-translated into Persian, followed by a pilot study. A sample of Iranian online gamblers (n = 858) was recruited utilizing social media platforms. Results showed that the Persian PGSI had excellent internal consistency (Cronbach’s alpha coefficient = 0.90; composite reliability = 0.91) and moderate test-retest reliability after 4–6 weeks using intraclass coefficient (0.41 with 95% CI [.34, .49]). The maximum likelihood confirmatory factor analysis for one-factor PGSI model fitted well (χ2/df = 2.81, CFI = .974, SRMR = .028, PCLOSE > .05, RMSEA = .057, 90% CI [.037, .077]). As for criterion-related validity, the Persian PGSI score correlated with the score on the Hospital Anxiety Depression Scale, which assesses depression (r = .54, p < .01) and anxiety (r = .40, p < .01). The Persian PGSI is a reliable and valid instrument for assessing the prevalence of problem gambling among Persian populations.

Positive play and its relationship with gambling harms and benefits.

BackgroundEngagement in responsible or ‘positive play’ strategies is known to be negatively associated with problem gambling, as indexed by measures such as the Problem Gambling Severity Index (PGSI). Less is known about whether positive play is associated with reduced harm or a greater ability to enjoy the recreational benefits of gambling.AimsThis study investigated the relationship between positive play and gambling harm after controlling for PGSI scores and whether positive play moderated the relationship between PGSI scores and harm. It also examined whether positive play was related to perceived benefits associated with gambling.MethodsThe study utilised an online panel sample of 554 respondents who completed a survey that included the PGSI, measures of gambling harm drawn from Browne et al. (2016), and the newly developed Positive Play Scale (Wood et al., 2019). The study involved predominantly monthly gamblers with higher levels of gambling risk: 23% problem gamblers; 36% moderate risk; and 21% low risk gamblers.ResultsThe results indicated that positive play was negatively associated with reduced gambling harm. The behavioural Positive Play subscales relating to pre-commitment and honesty and control explained additional variation in harm after controlling for PGSI scores. Higher levels of positive play also moderated and reduced the relationship between the PGSI and gambling harm. Perceived benefits were, unexpectedly, found to be higher in problem gamblers and negatively related to positive play.ConclusionBehavioural measures of positive play appear to be useful moderating factors in understanding the relationship between problem gambling and harm. Higher-risk gamblers appear to experience both greater costs as well as benefits from gambling, which likely reflects a stronger personal need to engage in the activity.