Spanish validation of the Brief Problem Gambling Screen in patients with substance use disorders. / Validación al castellano de la escala Brief Problem Gambling Screen en pacientes con Trastorno por Uso de Sustancias.

Problematic Gambling or Gambling Disorder (GD) can act by initiating and maintaining the problem of substance addiction. Despite this, there are no rapid screening tools validated in Spanish. The Brief Problem Gambling Screen (BPGS) has proven to be one of the most sensitive tools for detecting GD and populations at risk. This study aims to validate the Spanish version of the original five-item BPGS. A sample of 100 Spanish-speaking adults with substance use disorder were recruited from an addiction treatment center. The participants were administered the Spanish version of BPGS. It showed strong item reliability properties (Ω = 0.93). Sensitivity and specificity values were excellent (0.93 each), also positive (0.7) and negative (0.99) predictive values suggest high discriminant power when compared to non-GD subjects. Statistically significant strong correlation with a gold-standard measure (Problem Gambling Severity Index) was found (r = 0.8, p < 0.01). Similar psychometric properties were found in at-risk gambler patients. In conclusion, the BPGS seems to be an adequate screening instrument in Spanish-speaking clinical population, and also identifies at-risk of GD subjects.

El juego patológico (JP) puede actuar iniciando y manteniendo el problema de la adicción a sustancias. A pesar de ello, no existen herramientas de cribado rápido validadas en español. La Breve evaluación del juego problemático (BPGS) ha demostrado ser una de las herramientas más sensibles para detectar JP y poblaciones en riesgo. Este estudio tiene como objetivo validar la versión en español de la BPGS original de cinco factores. Se reclutó una muestra de 100 adultos hispanohablantes con trastorno por uso de sustancias de un centro de tratamiento de adicciones. A los participantes se les administró la versión en español de la BPGS. El instrumento mostró propiedades de fiabilidad de los ítems evaluados (Ω = 0,93). Los valores de sensibilidad y especificidad fueron excelentes (0,93 cada uno), también los valores predictivos positivos (0,7) y negativos (0,99) sugieren un alto poder discriminante en comparación con los sujetos sin JP. Se encontró una fuerte correlación significativa con la medida gold-estándar (índice de severidad del juego problemático, PGSI) (r = 0,8, p < 0,01). Se encontraron propiedades psicométricas similares en pacientes en riesgo de JP. En conclusión, la BPGS parece un buen instrumento de cribado en la población clínica española, y también identifica a los sujetos en riesgo de desarrollar JP.

Self-exclusion from gambling: A toothless tiger?

While there is evidence for self-exclusion (SE) as an individual-level harm reduction intervention, its effects on reducing harm from gambling at the population level remain unclear. Based on a review of national legal frameworks and SE programs, including their utilization and enforcement in selected high-income societies, the present analysis aims to explore the reach and strengths of SE in the protection of gamblers in these jurisdictions. It places particular emphasis on SE programs' potential to prevent and minimize gambling harm at the population level. The overview examined SE in Finland, Germany, Italy, Massachusetts (USA), Norway, Sweden, and Victoria (Australia). These jurisdictions differ considerably in how gambling is regulated as well as in how SE is implemented and enforced. The reach and extent of enforcement of SE apparently vary with the polity's general policy balance between reducing gambling problems and increasing gambling revenue. But in any case, though SE may benefit individual gamblers and those around them, it does not appear to be capable of significantly reducing gambling harm at the population level. To render SE programs an effective measure that prevents gamblers and those linked to them from financial, social, and psychological harm, utilization needs to be substantially increased by reforming legal regulations and exclusion conditions.

Development of the Gambling Disorder Identification Test: Results from an international Delphi and consensus process.

OBJECTIVES: Diverse instruments are used to measure problem gambling and Gambling Disorder intervention outcomes. The 2004 Banff consensus agreement proposed necessary features for reporting gambling treatment efficacy. To address the challenge of including these features in a single instrument, a process was initiated to develop the Gambling Disorder Identification Test (GDIT), as an instrument analogous to the Alcohol Use Disorders Identification Test and the Drug Use Disorders Identification Test. METHODS: Gambling experts from 10 countries participated in an international two-round Delphi (n = 61; n = 30), rating 30 items proposed for inclusion in the GDIT. Gambling researchers and clinicians from several countries participated in three consensus meetings (n = 10; n = 4; n = 3). User feedback was obtained from individuals with experience of problem gambling (n = 12) and from treatment-seekers with Gambling Disorder (n = 8). RESULTS: Ten items fulfilled Delphi consensus criteria for inclusion in the GDIT (M ≥ 7 on a scale of 1-9 in the second round). Item-related issues were addressed, and four more items were added to conform to the Banff agreement recommendations, yielding a final draft version of the GDIT with 14 items in three domains: gambling behavior, gambling symptoms and negative consequences. CONCLUSIONS: This study established preliminary construct and face validity for the GDIT.

The prevention paradox applies to some but not all gambling harms: Results from a Finnish population-representative survey.

BACKGROUND AND AIMS: The Prevention Paradox (PP) suggests that a large proportion of aggregate harm from gambling occurs to people who do not have a gambling disorder. However, it has not yet been tested using a population-representative sample. We aimed to test whether the PP applies to gambling in Finland. The prevalence rates of diverse harmful consequences from gambling were surveyed amongst a population-representative sample of past-year gamblers. METHODS: The study used first wave data (N = 7,186) of Finnish Gambling Harms survey, collected via online and postal surveys in 2017. A subset of 3,795 adults (≥18 years), who had gambled at least monthly in 2016, were selected for analysis. MEASUREMENTS: Gambling-related harms were evaluated with the 72-item Harms Checklist. Problem and Pathological Gambling Measure (PPGM) measured respondents' probable disordered gambling from the subset of items for impaired control (4 questions) and other issues (3 questions). FINDINGS: Consistent with previous findings, the majority of harms were reported by those in the less severe PPGM categories (i.e. scoring <5). However, considering each domain separately, this was true only for financial, emotional/psychological, and work/study harms. The PP was not supported for health, relationship, or social deviance harms. CONCLUSIONS: The population prevalence of the most serious harms (e.g. unsafe living conditions) is concentrated among those with severe impaired control issues. However, even excluding the ∼15% of harms occurring to occasional gamblers, most financial, emotional and work/study impacts occur to those with lower levels of control issues. Efforts at harm reduction should focus on the entire spectrum of issues that people experience from their gambling.

The Conceptual Framework of Harmful Gambling: A revised framework for understanding gambling harm.

BACKGROUND AND AIMS: The Conceptual Framework of Harmful Gambling moves beyond a symptoms-based view of harm and addresses a broad set of factors related to the risks and effects of gambling harmfully at the individual, family, and community levels. Coauthored by international research experts and informed by multiple stakeholders, Gambling Research Exchange (GREO) facilitated the framework development in 2013 and retains responsibility for regular updates and mobilization. This review article presents information about the revised version of the Conceptual Framework of Harmful Gambling completed in late 2018. METHODS: We describe eight interrelated factors depicted in the framework that represent major themes in gambling ranging from the specific (gambling environment, exposure, gambling types, and treatment resources) to the general (cultural, social, psychological, and biological influences). After outlining the framework development and collaborative process, we highlight new topics for the recent update that reflect changes in the gambling landscape and prominent discourses in the scientific community. Some of these topics include social and economic impacts of gambling, and a new model of understanding gambling related harm. DISCUSSION AND CONCLUSIONS: We address the relevance of the CFHG to the gambling and behavioral addictions research community. Harm-based frameworks have been undertaken in other areas of addiction that can both inform and be informed by a model dedicated to harmful gambling. Further, the framework brings a multi-disciplinary perspective to bear on antecedents and factors that co-occur with harmful gambling.

Gambling formats, involvement, and problem gambling: which types of gambling are more risky?

BACKGROUND: The recognition of problem gambling as a public health issue has increased as the availability of gambling expands. Research has found that some formats of gambling are more closely linked to problem gambling than others. Conflicting evidence, however, has emerged, suggesting that the most important consideration is involvement (i.e., number of gambling formats an individual participates in). This debate has important implications for the regulation of gambling formats and for the allocation of problem gambling prevention and treatment services. METHOD: Analyses utilized the Baseline General Population Survey (BGPS) and the Baseline Online Panel Survey (BOPS) of Massachusettscollected in 2013-2014. The BGPS contains a representative sample of 9523 Massachusetts adults and the BOPS contains a sample of 5046 Massachusetts adults. All participants were administered the same comprehensive survey of their past year gambling behavior and problem gambling symptomology. Only those who gambled regularly in the past 12 months (n = 5852) were included. The Problem and Pathological Gambling Measure was used to classify gambling behavior. Within the sample, there were 446 problem gamblers. We assessed: 1) whether some gambling formats are more related to problem gambling; 2) whether problem gambling is positively related to high involvement in gambling; 3) the relationship between involvement in gambling and intensity of gambling; and 4) whether gambling formats mediate the relationship between gambling involvement and problem gambling. RESULTS: Groups of monthly gamblers participating in casino gambling, bingo, and sports betting contained a higher proportion of problem gamblers. High gambling involvement was also positively associated with problem gambling; however, a large minority of gamblers experienced problems when engaging in only one or two forms of gambling. Gambling involvement was also positively associated with intensity of gambling. Therefore, intensity of gambling may be partly driving the relationship between involvement and problem gambling. Specific gambling formats mediated the relationship between involvement and problem gambling. CONCLUSIONS: The gambling format an individual participates in is connected to whether an individual is likely to experience problem gambling. We also found that the level of involvement (and its relationship to intensity) may affect the likelihood that an individual will experience problematic gambling behavior. Ultimately, the type of gambling format an individual partakes in does mediate the relationship between problem gambling and involvement. In Massachusetts, participating in casino gambling was more closely associated with problem gambling than other formats across all levels of involvement.

Correlates of At-Risk and Problem Gambling Among Veterans in Massachusetts.

Few studies have examined problem gambling among veterans and, of those studies, there are conflicting conclusions surrounding correlates of problem gambling in veterans. Our study aims to assess problem gambling prevalence among veterans using non-Veterans Affairs data and to evaluate correlates of problem gambling among veterans in a general population sample. We obtained a probability sample of adult Massachusetts residents using address based sampling in 2013-2014. Participants completed a questionnaire on demographics, veteran status, and gambling behaviors and motivations. We identified n = 129 problem gamblers from a sample of n = 9578 participants. Of the problem gamblers who had veteran status information, 20.6% were veterans. Due to sample size limitations, we analyzed veteran problem and at-risk gamblers compared to veteran recreational gamblers. Having friends and family members engaged in gambling and engaging in more gambling formats were significantly, positively associated with veteran problem and at-risk gambler status. Participating in raffles in the past year was associated with lower odds of being a veteran problem and at-risk gambler compared to veteran recreational gamblers (OR 0.31, 95% CI 0.18-0.52). These discriminators of at-risk and problem gambling may be useful in developing clinical treatment approaches for veteran problem gamblers. Future studies should focus on changes in the prevalence of veteran problem gambling and additional correlates that may better capture social support domains and gambling activity among veterans.

Development of the Gambling Disorder Identification Test (G-DIT): Protocol for a Delphi Method Study.

BACKGROUND: Research on the identification and treatment of problem gambling has been characterized by a wide range of outcome measures and instruments. However, a single instrument measuring gambling behavior, severity, and specific deleterious effects is lacking. OBJECTIVE: This protocol describes the development of the Gambling Disorder Identification Test (G-DIT), which is a 9- to 12-item multiple-choice scale with three domains: gambling consumption, symptom severity, and negative consequences. The scale is analogous to the widely used Alcohol Use Disorders Identification Test (AUDIT) and the Drug Use Disorders Identification Test (DUDIT). METHODS: The G-DIT is developed in four steps: (1) identification of items eligible for the G-DIT from a pool of existing gambling measures; (2) presentation of items proposed for evaluation by invited expert researchers through an online Delphi process and subsequent consensus meetings; (3) pilot testing of a draft of the 9- to 12-item version in a small group of participants with problem gambling behavior (n=12); and (4) evaluation of the psychometric properties of the final G-DIT measure in relation to the existing instruments and self-reported criteria of the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5), among individuals with problem gambling and nonproblematic recreational gambling behaviors (n=600). This protocol article summarizes step 1 and describes steps 2 and 3 in detail. RESULTS: As of October 2018, steps 1-3 are complete, and step 4 is underway. CONCLUSIONS: Implementation of this online Delphi study early in the psychometric development process will contribute to the face and construct validity of the G-DIT. We believe the G-DIT will be useful as a standard outcome measure in the field of problem gambling research and serve as a problem-identification tool in clinical settings. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/12006.

The importance of friends and family to recreational gambling, at-risk gambling, and problem gambling.

BACKGROUND: The variables correlated with problem gambling are routinely assessed and fairly well established. However, problem gamblers were all 'at-risk' and 'recreational' gamblers at some point. Thus, it is instructive from a prevention perspective to also understand the variables which discriminate between recreational gambling and at-risk gambling and whether they are similar or different to the ones correlated with problem gambling. This is the purpose of the present study. METHOD: Between September 2013 to May 2014, a representative sample of 9,523 Massachusetts adults was administered a comprehensive survey of their past year gambling behavior and problem gambling symptomatology. Based on responses to the Problem and Pathological Gambling Measure, respondents were categorized as Non-Gamblers (2,523), Recreational Gamblers (6,271), At-Risk Gamblers (600), or Problem/Pathological Gamblers (129). With the reference category of Recreational Gambler, a series of binary logistic regressions were conducted to identify the demographic, health, and gambling related variables that differentiated Recreational Gamblers from Non-Gamblers, At-Risk-Gamblers, and Problem/Pathological Gamblers. RESULTS: The strongest discriminator of being a Non-Gambler rather than a Recreational Gambler was having a lower portion of friends and family that were regular gamblers. Compared to Recreational Gamblers, At-Risk Gamblers were more likely to: gamble at casinos; play the instant and daily lottery; be male; gamble online; and be born outside the United States. Compared to Recreational Gamblers, Problem and Pathological Gamblers were more likely to: play the daily lottery; be Black; gamble at casinos; be male; gamble online; and play the instant lottery. Importantly, having a greater portion of friends and family who were regular gamblers was the second strongest correlate of being both an At-Risk Gambler and Problem/Pathological Gambler. CONCLUSIONS: These analyses offer an examination of the similarities and differences between gambling subtypes. An important finding throughout the analyses is that the gambling involvement of family and friends is strongly related to Recreational Gambling, At-Risk Gambling, and Problem/Pathological Gambling. This suggests that targeting the social networks of heavily involved Recreational Gamblers and At-Risk Gamblers (in addition to Problem/Pathological Gamblers) could be an important focus of efforts in problem gambling prevention.

Screening for problem gambling within mental health services: a comparison of the classification accuracy of brief instruments.

BACKGROUND AND AIMS: Despite the over-representation of people with gambling problems in mental health populations, there is limited information available to guide the selection of brief screening instruments within mental health services. The primary aim was to compare the classification accuracy of nine brief problem gambling screening instruments (two to five items) with a reference standard among patients accessing mental health services. DESIGN: The classification accuracy of nine brief screening instruments was compared with multiple cut-off scores on a reference standard. SETTING: Eight mental health services in Victoria, Australia. PARTICIPANTS: A total of 837 patients were recruited consecutively between June 2015 and January 2016. MEASUREMENTS: The brief screening instruments were the Lie/Bet Questionnaire, Brief Problem Gambling Screen (BPGS) (two- to five-item versions), NODS-CLiP, NODS-CLiP2, Brief Biosocial Gambling Screen (BBGS) and NODS-PERC. The Problem Gambling Severity Index (PGSI) was the reference standard. FINDINGS: The five-item BPGS was the only instrument displaying satisfactory classification accuracy in detecting any level of gambling problem (low-risk, moderate-risk or problem gambling) (sensitivity = 0.803, specificity = 0.982, diagnostic efficiency = 0.943). Several shorter instruments adequately detected both problem and moderate-risk, but not low-risk, gambling: two three-item instruments (NODS-CLiP, three-item BPGS) and two four-item instruments (NODS-PERC, four-item BPGS) (sensitivity = 0.854-0.966, specificity = 0.901-0.954, diagnostic efficiency = 0.908-0.941). The four-item instruments, however, did not provide any considerable advantage over the three-item instruments. Similarly, the very brief (two-item) instruments (Lie/Bet and two-item BPGS) adequately detected problem gambling (sensitivity = 0.811-0.868, specificity = 0.938-0.943, diagnostic efficiency = 0.933-0.934), but not moderate-risk or low-risk gambling. CONCLUSIONS: The optimal brief screening instrument for mental health services wanting to screen for any level of gambling problem is the five-item Brief Problem Gambling Screen (BPGS). Services wanting to employ a shorter instrument or to screen only for more severe gambling problems (moderate-risk/problem gambling) can employ the NODS-CLiP or the three-item BPGS. Services that are only able to accommodate a very brief instrument can employ the Lie/Bet Questionnaire or the two-item BPGS.

The Economic Burden of Pathological Gambling and Co-occurring Mental Health and Substance Use Disorders.

OBJECTIVES: Disordered gambling often co-occurs with psychiatric and substance use disorders. The study aim was to assess the healthcare costs of pathological gambling (PG) and co-occurring mental health and substance use disorders by payer. This is the first-of-its-kind economic analysis of addictive behaviors and mental health disorders. METHODS: Study data were derived from the Massachusetts All-Payer Claims Data-a representative health claims database-for the period 2009 to 2013. The study analytical sample contained all medical and pharmaceutical claims for commercially insured Massachusetts residents who were aged ≥18 years, had health insurance coverage, had a diagnosis of PG, and sought care in the Commonwealth. Healthcare cost components included outpatient, inpatient, emergency room visits, and prescription drugs. Bootstrap analysis was performed to account for skewed distribution of cost data. All costs were adjusted to constant dollars. RESULTS: The study sample included 599 patients over the study period. The most prevalent principal diagnoses were disorders of impulse control (50%), episodic mood disorders (31%), anxiety disorders (14%), and psychoactive substance (9%). The mean annual total expenditures on health care per patient with diagnosis of pathological gambling were $7993 ±â€Š$11,847 (bias-corrected 95% confidence interval) in 2009, $10,054 ±â€Š$14,555 in 2010, $9093 ±â€Š$13,422 in 2011, and $9523 ±â€Š$14,505 in 2012. Pharmaceutical expenditures represented 16% to 22% of total healthcare expenditures. In the study period, prescription drug co-pays represented approximately 16% of the pharmaceutical expenditures. CONCLUSIONS: Psychiatric comorbidity and substance use disorders, and nondependent abuse of drugs are highly prevalent among pathological gamblers. These disorders pose an economic burden to patients and healthcare payers.

The prevalence, incidence, and gender and age-specific incidence of problem gambling: results of the Swedish longitudinal gambling study (Swelogs).

AIMS: To estimate the prevalence, incidence and gender and age-specific incidence of problem gambling in the Swedish adult population. DESIGN: Longitudinal cohort study with linkage to register data. SETTING: Sweden. PARTICIPANTS: Stratified random sample aged 16-84 years at baseline (n = 8165) re-assessed a year later (n = 6021). MEASUREMENTS: Problem gambling (life-time and past 12 months) was measured by the South Oaks Gambling Screen-Revised (SOGS-R). Past 12-month (current) problem gambling was also measured by the Problem Gambling Severity Index (PGSI). FINDINGS: The SOGS-R combined current pathological and problem gambling prevalence rate (PR) was 2.1 [95% confidence interval (CI) = 1.8-2.4] at baseline and 1.7 (1.4-2.0) at follow-up, approximately half the corresponding life-time estimates.[Correction added on 22 Dec 2017, after first online publication: In the preceding sentence, the SOGS-R combined current pathological and problem gambling prevalence rate (PR) was incorrectly reported as being double the corresponding life-time rate. It has been corrected in this version.] PGSI combined current problem and moderate-risk gambling PRs were 2.2 (1.9-2.5) at baseline and 1.9 (1.6-2.2) at follow-up. Combined incidence rates (IRs) were 1.0 (0.8-1.3) (SOGS-R) and 1.4 (1.1-1.7) (PGSI), with more than three-quarters being new cases. While first-time IRs did not vary by gender, males had a higher relapse IR and proportionately more females were new cases. The young adult IR was more than double the older adult IR; similar proportions were new cases. CONCLUSIONS: The actual incidence of problem gambling relapse in Sweden is likely to be higher than estimated. The profile of problem gambling in Sweden is likely to change over time, with increased proportions of women and older adults.

Risk Factors for Problem Gambling in California: Demographics, Comorbidities and Gambling Participation.

While population surveys have been carried out in numerous jurisdictions internationally, little has been done to assess the relative strength of different risk factors that may contribute to the development of problem gambling. This is an important preparatory step for future research on the etiology of problem gambling. Using data from the 2006 California Problem Gambling Prevalence Survey, a telephone survey of adult California residents that used the NODS to assess respondents for gambling problems, binary logistic regression analysis was used to identify demographic characteristics, health-related behaviors, and gambling participation variables that statistically predicted the odds of being a problem or pathological gambler. In a separate approach, linear regression analysis was used to assess the impact of changes in these variables on the severity of the disorder. In both of the final models, the greatest statistical predictor of problem gambling status was past year Internet gambling. Furthermore, the unique finding of a significant interaction between physical or mental disability, Internet gambling, and problem gambling highlights the importance of exploring the interactions between different forms of gambling, the experience of mental and physical health issues, and the development of problem gambling using a longitudinal lens.

Problem gambling and substance use in patients attending community mental health services.

Background and aims Relatively little is known about co-occurring gambling problems and their overlap with other addictive behaviors among individuals attending mental health services. We aimed to determine rates of gambling and substance use problems in patients accessing mental health services in Victoria, Australia. Methods A total of 837 adult patients were surveyed about their gambling and administered standardized screening tools for problem gambling and harmful tobacco, alcohol, and drug use. Prevalence of gambling problems was estimated and regression models used to determine predictors of problem gambling. Results The gambling participation rate was 41.6% [95% CI = 38.2-44.9]. The Problem Gambling Severity Index identified 19.7% [CI = 17.0-22.4] as "non-problem gamblers," 7.2% [CI = 5.4-8.9] as "low-risk" gamblers, 8.4% [CI = 6.5-10.2] as "moderate-risk" gamblers, and 6.3% [CI = 4.7-8.0] as "problem gamblers." One-fifth (21.9%) of the sample and 52.6% of all gamblers were identified as either low-risk, moderate-risk, or problem gamblers (PGs). Patients classified as problem and moderate-risk gamblers had significantly elevated rates of nicotine and illicit drug dependence (p < .001) according to short screening tools. Current diagnosis of drug use (OR = 4.31 [CI = 1.98-9.37]), borderline personality (OR = 2.59 [CI = 1.13-5.94]), bipolar affective (OR = 2.01 [CI = 1.07-3.80]), and psychotic (OR = 1.83 [CI = 1.03-3.25]) disorders were significant predictors of problem gambling. Discussion and conclusions Patients were less likely to gamble, but eight times as likely to be classified as PG, relative to Victoria's adult general population. Elevated rates of harmful substance use among moderate-risk and PG suggest overlapping vulnerability to addictive behaviors. These findings suggest mental health services should embed routine screening into clinical practice, and train clinicians in the management of problem gambling.

Comorbid pathological gambling, mental health, and substance use disorders: Health-care services provision by clinician specialty.

Background and aims Pathological gambling (PG) is an impulse control disorder. This study assessed the burden of co-occurring behavioral addictions and mental health disorders in treatment-seeking patients and estimated the likelihood of receiving care for these disorders by clinician specialty. Methods Study data were derived from the Massachusetts All-Payer Claims Database, a representative database, for the period 2009-2013. The sample included commercially insured adult residents of Massachusetts. Univariate and multivariate logistic regressions were used to estimate the likelihood of provision of care by clinician specialty adjusting for patient's demographic characteristics and level of care. Bonferroni correction was applied to adjust for multiple testing. Results The study sample included 869 patients. Treatment-seeking patients who had a diagnosis of PG were mostly males (71%), aged 45-54 years (26.7%) and enrolled in a health maintenance organization (47%). The most prevalent co-occurring disorders among patients with PG as principal diagnosis were anxiety disorders (28%), mood disorders (26%), and substance use disorders (18%). PG was associated with a more than twofold likelihood of receiving care from social workers and psychologists (p < .05). Depressive disorders were associated with a three times greater likelihood of receiving care from primary care physicians (PCPs) (p < .05). Having three and four or more diagnosis was associated with a greater likelihood of receiving care from PCPs. Discussion and conclusions Psychiatric and substance use disorders are prevalent among treatment-seeking pathological gamblers. The likelihood of receiving care from specialty clinicians significantly varies by clinical diagnosis and patient clinical complexity.

Dimensions of the South Oaks Gambling Screen in Finland: A cross-sectional population study.

The underlying structure of problematic gambling behaviors, such as those assessed by the South Oaks Gambling Screen (SOGS), remain unknown: Can problem gambling be assessed unidimensionally or should multiple qualitatively different dimensions be taken into account, and if so, what do these qualitative dimensions indicate? How significant are the deviations from unidimensionality in practice? A cross-sectional random sample of Finns aged 15-74 (n = 4,484) was drawn from the Population Information Registry and surveyed in 2011-2012. Analyses were conducted using descriptive statistics, Confirmatory factor analysis (CFA) and multidimensional item response theory (MIRT) models. Altogether, 14.9% of the population endorsed at least one of the 20 SOGS items, but nine items had low endorsement rates (≤ 0.2%). CFA and MIRT techniques suggested that individuals differed from each other in two positively correlated (r = 0.70) underlying dimensions: "impact on self primarily" and "impact on others also". This two-factor correlated-factors model can be reinterpreted as a bifactor model with one general gambling-problem factor and two specific factors with similar interpretation as in the correlated-factors model but with non-overlapping items. The two specific factors may provide clinically useful information without extra costs of assessment.

GamTest: Psychometric Evaluation and the Role of Emotions in an Online Self-Test for Gambling Behavior.

Recent increases in the number of online gambling sites have made gambling more available, which may contribute to an increase in gambling problems. At the same time, online gambling provides opportunities to introduce measures intended to prevent problem gambling. GamTest is an online test of gambling behavior that provides information that can be used to give players individualized feedback and recommendations for action. The aim of this study is to explore the dimensionality of GamTest and validate it against the Problem Gambling Severity Index (PGSI) and the gambler's own perceived problems. A recent psychometric approach, exploratory structural equation modeling (ESEM) is used. Well-defined constructs are identified in a two-step procedure fitting a traditional exploratory factor analysis model as well as a so-called bifactor model. Using data collected at four Nordic gambling sites in the autumn of 2009 (n = 10,402), the GamTest ESEM analyses indicate high correspondence with the players' own understanding of their problems and with the PGSI, a validated measure of problem gambling. We conclude that GamTest captures five dimensions of problematic gambling (i.e., overconsumption of money and time, and monetary, social and emotional negative consequences) with high reliability, and that the bifactor approach, composed of a general factor and specific residual factors, reproduces all these factors except one, the negative consequences emotional factor, which contributes to the dominant part of the general factor. The results underscore the importance of tailoring feedback and support to online gamblers with a particular focus on how to handle emotions in relation to their gambling behavior.

Gambling involvement indicative of underlying behavioral and mental health disorders.

BACKGROUND AND OBJECTIVES: In spite of increased gambling opportunities, risk factors associated with recreational gambling remain poorly understood. This study assessed behavioral risk factors associated with frequency of recreational gambling. METHODS: Data were derived from the 2013 Massachusetts Behavioral Risk Factor Surveillance System. Gambling frequency was divided into two or more times per week, 1-4 times a month, less than 10 times in total, and not at all. Health risk behaviors included smoking, drinking, obesity, seat belt use, and sleep patterns. Multivariate logistic regression was used to assess relationships between overall gambling participation and gambling frequency and behavioral risk behaviors. Final analytical sample included 3,988 survey respondents. Statistical analyses were performed using STATA. RESULTS: Significant differences exist in the socio-demographic characteristics of recreational gamblers. Highest gambling frequency is associated with increased odds of alcohol consumption (ie, having at least one alcohol drink during the past 30 days) (OR 1.9; p < .05), binge drinking (ie, having five or more alcohol drinks at least once during the past 30 days) (OR 3.7; p < .001), and tobacco use (ie, having smoked at least 100 cigarettes in a lifetime) (OR 3.4; p < .001). The odds of having fourteen days of poor mental health are twofold for recreational gamblers who gamble two or more times per week (OR 2.2; p < .05). CONCLUSION AND SCIENTIFIC SIGNIFICANCE: Differing behavioral and mental health risk factors emerge among recreational gamblers by gambling frequency. Gambling frequency may be a better proxy for assessing the risk of developing gambling related behavioral disorders than overall endorsement of gambling participation.

An Examination of a Proposed DSM-IV Pathological Gambling Hierarchy in a Treatment Seeking Population: Similarities with Substance Dependence and Evidence for Three Classification Systems.

Toce-Gerstein et al. (Addiction 98:1661-1672, 2003) investigated the distribution of Diagnostic and Statistical Manual for Mental Disorders, 4th edition (DSM-IV) pathological gambling criteria endorsement in a U.S. community sample for those people endorsing a least one of the DSM-IV criteria (n = 399). They proposed a hierarchy of gambling disorders where endorsement of 1-2 criteria were deemed 'At-Risk', 3-4 'Problem gamblers', 5-7 'Low Pathological', and 8-10 'High Pathological' gamblers. This article examines these claims in a larger Australian treatment seeking population. Data from 4,349 clients attending specialist problem gambling services were assessed for meeting the ten DSM-IV pathological gambling criteria. Results found higher overall criteria endorsement frequencies, three components, a direct relationship between criteria endorsement and gambling severity, clustering of criteria similar to the Toce-Gerstein et al. taxonomy, high accuracy scores for numerical and criteria specific taxonomies, and also high accuracy scores for dichotomous pathological gambling diagnoses. These results suggest significant complexities in the frequencies of criteria reports and relationships between criteria.