Development and validation of the Japanese version of the Gambling Related Cognitions Scale (GRCS-J)

The Differences of Gambling-Related Harms Among Low-Investment and Normal-Investment Pachinko/Pachislot Players in Japan: A Cross Sectional Study

Pachinko and pachislot are popular types of gambling activities in Japan. Prior studies in Japan have reported a concerning prevalence of problem gambling among adult players. While these studies have identified various gambling-related harms, Japanese research on harm-minimization strategies is scarce. Therefore, the present study aimed to compare differences of gambling-related harms among normal-, half-, and quarter-pachi players to the usefulness of low-investment pachinko and pachislot as a harm-reduction strategy. We considered gamblers who played games that cost the typical amount of money to be "normal-pachi players." Those who played low-investment games were categorized as "half-pachi players" and "quarter-pachi players," reflecting those who played games at half or one quarter the cost of a typical machine, respectively. To assess the harm-reduction effect, a one-way ANCOVA was conducted to compare the impact of the groups (normal-pachi players [n = 101], half-pachi players [n = 104], and quarter-pachi players [n = 100]) on dependent variables, namely the number of days players had gambled during the prior month; total time and amount of money spent on gambling; debts caused by gambling; gambling severity; cognitive distortion; depressive symptoms; and problems in work, family, and social life. We demonstrated that the amount of money spent by quarter-pachi players on gambling during the past month was lower than that of normal-pachi players. However, we did not find significant differences with respect to any other gambling-related harms among normal-, half-, and quarter-pachi players. Low-investment pachinko and pachislot players spends less the amount of money spent on gambling. Low-investment pachinko and pachislot would thus partly act as a harm-minimization strategy. Moreover, the results of the present study indicate that the problems at work affect various outcomes for gamblers. Given that 90% of the participants in this study were employed, the results of this study may have important implications for employed gamblers.

Guided versus unguided chatbot-delivered cognitive behavioral intervention for individuals with moderate-risk and problem gambling: A randomized controlled trial (GAMBOT2 study)

BACKGROUND

Internet-based interventions can be a promising option for individuals with problem gambling facing barriers to seeking help. This study aimed to directly compare the effects of therapist-guided Internet interventions with unguided ones on gambling-related behavior, cognition, and stage of change including help-seeking intention.

METHODS

We conducted a participant-blinded randomized controlled trial of therapist-guided versus unguided groups with a 12-week follow-up. Both groups received self-help chatbot-delivered cognitive behavioral therapy. Additionally, at baseline and weeks 1, 2, 3, and 4, the guided group received personalized feedback messages from therapists based on their gambling diary and questionnaire responses. The unguided group received reminders of assessments from research assistants. The primary outcome was the change in scores on the Gambling Symptoms Assessment Scale (G-SAS) over 12 weeks. Secondary outcomes included the stage of change including help-seeking intention, money wagered, gambling frequency, and gambling-related cognitions.

RESULTS

We included 139 participants with a mean Problem Gambling Severity Index total score of 14.6 and a mean G-SAS total score of 27.0 who sought information about gambling problems. Both groups demonstrated substantial decreases in their G-SAS scores from baseline to week 12 (-10.2, 95% CI: -7.67 to -12.7 for the guided group, and 11.7, 95% CI: -9.05 to -14.3 for the unguided group). However, we did not find a significant between-group difference (1.49, 95% CI: -2.20 to 5.17). Regarding the stage of change including help-seeking intention, there were also no between-group differences.

CONCLUSIONS

Minimum therapist support did not have an additive effect on the self-help chatbot intervention on gambling symptoms, behavior, and the stage of change including help-seeking intention.

Validation of Gambling Related Cognitions Scale-Iranian Version (GRCS-IR)

Background

The change in gambling forms, a wide variety of advertising methods, the access to gambling, as well as the increase in participation in online gambling have made it important to know and investigate gambling, particularly as pathological gambling leads to psychological and physical damage.

Methods

The present study investigated the factor structure of the Gambling Related Cognitions Scale (GRCS) proposed by Raylu and Oei in addiction. The study sample included 574 participants (40.2% male, 59.8% female) between 18 and 56 years of age. The instruments used in the present study included the GRCS, the South Oaks Gambling Screen Questionnaire (SOGS), the Victorian Gambling Screen (VGS), and the Problem Gambling Severity Index (PGSI).

Findings

A 5-factor GRCS model provided the best fit to the data, and gambling-related cognitions were a strong predictor of disordered gambling among adults. All subscales presented good internal consistency and scalability. The findings showed that the total score of the GRCS-IR was significantly different among men and women.

Conclusion

The findings of this study confirmed that the Iranian version of the GRCS-IR is an effective multidimensional instrument that accurately measures cognitive distortions related to gambling. Consequently, it can be utilized as a valuable tool for assessing GRC (Gambling Related Cognitions) to understand the severity of pathological gambling and has the potential capacity to measure treatment outcomes.

Gambling symptoms, behaviors, and cognitive distortions in Japanese university students

BACKGROUND

This study was conducted to investigate the relationship between symptoms of gambling problems, gambling behaviours, and cognitive distortions among a university student population in Japan ages 20 to 29 years. We aimed to address the gap in knowledge of gambling disorders and treatment for this population.

METHODS

Data were obtained from 1471 Japanese undergraduate students from 19 universities in Japan. Descriptive statistics and hierarchical multivariate regression analysis were used to investigate whether the factors of gambling cognitive distortions would have predictive effects on gambling disorder symptoms.

RESULTS

Results indicated that 5.1% of the participants are classifiable as probable disordered gamblers. The bias of the gambling type to pachinko and pachislot was unique to gamblers in Japan. Of the students sampled, 342 self-reported gambling symptoms via the South Oaks Gambling Screen. Hierarchical multivariate regression analysis indicated that one domain of gambling cognitive distortions was associated significantly with gambling symptoms among the 342 symptomatic participants: gambling expectancy (β = 0.19, p < .05). The multivariate model explained 47% of the variance in the gambling symptoms.

CONCLUSION

This study successfully contributed to the sparse research on university student gambling in Japan. Specifically, our results indicated a statistically significant relationship between gambling cognitive distortions and gambling disorder symptoms. These results can inform the development of preventive education and treatment for university students with gambling disorder in Japan. The report also describes needs for future research of university students with gambling disorder.

The role of affect-driven impulsivity in gambling cognitions: A convenience-sample study with a Spanish version of the Gambling-Related Cognitions Scale

Background and aims Abnormal cognitions are among the most salient domain-specific features of gambling disorder. The aims of this study were: (a) to examine and validate a Spanish version of the Gambling-Related Cognitions Scale (GRCS; Raylu & Oei, 2004) and (b) to examine associations between cognitive distortion levels, impulsivity, and gambling behavior. Methods This study first recruited a convenience sample of 500 adults who had gambled during the previous year. Participants were assessed using the Spanish version of GRCS (GRCS-S) questionnaire, the UPPS-P impulsivity questionnaire, measures of gambling behavior, and potentially relevant confounders. Robust confirmatory factor analysis methods on half the sample were used to select the best models from a hypothesis-driven set. The best solutions were validated on the other half, and the resulting factors were later correlated with impulsivity dimensions (in the whole n = 500 factor analysis sample) and clinically relevant gambling indices (in a separate convenience sample of 137 disordered and non-disordered gamblers; validity sample). Results This study supports the original five-factor model, suggests an alternative four-factor solution, and confirms the psychometric soundness of the GRCS-S. Importantly, cognitive distortions consistently correlated with affect- or motivation-driven aspects of impulsivity (urgency and sensation seeking), but not with cognitive impulsivity (lack of premeditation and lack of perseverance). Discussion and conclusions Our findings suggest that the GRCS-S is a valid and reliable instrument to identify gambling cognitions in Spanish samples. Our results expand upon previous research signaling specific associations between gambling-related distortions and affect-driven impulsivity in line with models of motivated reasoning.

Exploring the measurement structure of the Gambling Related Cognitions Scale (GRCS) in treatment-seekers: A Bayesian structural equation modelling approach

Knowledge of a problem gambler's underlying gambling related cognitions plays an important role in treatment planning. The Gambling Related Cognitions Scale (GRCS) is therefore frequently used in clinical settings for screening and evaluation of treatment outcomes. However, GRCS validation studies have generated conflicting results regarding its latent structure using traditional confirmatory factor analyses (CFA). This may partly be due to the rigid constraints imposed on cross-factor loadings with traditional CFA. The aim of this investigation was to determine whether a Bayesian structural equation modelling (BSEM) approach to examination of the GRCS factor structure would better replicate substantive theory and also inform model re-specifications. Participants were 454 treatment-seekers at first presentation to a gambling treatment centre between January 2012 and December 2014. Model fit indices were well below acceptable standards for CFA. In contrast, the BSEM model which included small informative priors for the residual covariance matrix in addition to cross-loadings produced excellent model fit for the original hypothesised factor structure. The results also informed re-specification of the CFA model which provided more reasonable model fit. These conclusions have implications that should be useful to both clinicians and researchers evaluating measurement models relating to gambling related cognitions in treatment-seekers.