An experimental investigation of the role of delay discounting and craving in gambling chasing behavior

Chasing among older-aged gamblers: the role of mentalizing and psychological distress

Background

Despite the increasing proportion of older-aged individuals suffering from problematic gambling, research on gambling among this specific age cohort is still in its infancy. Chasing is a pathognomonic feature of disordered gambling and is considered one of the key risk factors in the transition from recreational to disordered gambling. Despite the increased research on chasing over the past decade, no previous study has ever examined the psychological determinants of chasing behavior among old-aged gamblers. Given the importance of chasing in facilitating and maintaining problem gambling, and the paucity of research examining gambling among older individuals, the present study is the first to empirically investigate the joint role of chasing behavior, negative affectivity, and mentalizing among older-aged gamblers.

Methods

The sample comprised 116 older-aged gamblers who were administered the South Oaks Gambling Screen (SOGS), the Depression Anxiety Stress Scale (DASS-21) and the Reflective Functioning Questionnaire (RFQ-8) to assess gambling severity, psychological distress, and mentalizing, respectively. Participants also performed the ChasIT, a computerized task that assesses chasing behavior, in which participants were randomly assigned to three different experimental conditions: loss, control, and win.

Results

No effect of the experimental conditions of ChasIT on chasing behavior was observed. Regression analyses indicated that heightened levels of gambling severity and lower levels of certainty about mental states (i.e., hypermentalizing) predicted both the decision to chase and chasing frequency. Along with problem gambling and hypermentalizing, chasing frequency was also predicted by high levels of depression.

Conclusions

The present study demonstrated the association between disordered gambling, depression, and hypermentalizing in chasing behavior among older-aged gamblers. The findings make an important contribution to providing insight regarding variables that are associated with chasing among older-aged gamblers, one of the least represented populations of gamblers in the literature. The results suggest that specific training on mentalizing abilities could help gamblers to reflect on their own behaviors in terms of mental states, rather than following the impulse to gamble in order to ameliorate poor mood.

Psychometric Validation of the Gambling Craving Scale in a Treatment-Seeking Sample

The Gambling Craving Scale (GACS) is a multifaceted measure of gambling craving. Initial validation work by Young and Wohl (2009) in university student samples showed that the GACS had a three-factor structure capturing dimensions of Desire, Anticipation, and Relief. Despite its potential clinical utility as a measure of craving, the GACS has yet to be validated in people seeking treatment for gambling problems. Accordingly, we examined the psychometric properties in a sample of people (N = 209; Mage = 37.66; 62.2% female) participating in a randomized controlled trial testing a novel online treatment for problem gambling. We predicted the GACS would have a three-factor structure. In addition, we also examined measurement invariance across sex and problem gambling risk status. Finally, we assessed concurrent validity of the factors with other measures of problem gambling severity and involvement. Exploratory structural equation modeling findings supported a three-factor structure that was invariant across the groups tested. Each of the Desire, Anticipation, and Relief subscales were significant positive predictors of problem gambling severity and symptoms, and some form of gambling behaviour. Findings show the GACS is a promising scale to assess multidimensional craving experiences among people in treatment for gambling problems.

Getting even: chasing behavior, decision-making, and craving in habitual gamblers

BACKGROUND

Dysfunctional decision-making and intense craving represent pivotal aspects across all addictive behaviors, notably evident in gambling addiction where these factors significantly shape chasing behavior-continuing gambling to recoup losses-indicative of problematic gambling. This study explores the correlation between chasing behavior, craving, affective decision-making, decision-making styles, and gambling severity among habitual Italian gamblers.

METHODS

One hundred and sixty-six participants from diverse gambling venues completed assessments including the South Oaks Gambling Screen (SOGS), the Iowa Gambling Task (IGT), the General Decision-Making Style (GDMS), the Gambling Craving Scale (GACS), and a computerized task to measure chasing behavior. Participants were randomly assigned to Control and Loss chasing conditions.

RESULTS

Regression analyses revealed craving as a predictor of chasing behavior. Interestingly, individuals with a dependent decision-making style exhibited lower tendencies to chase. While IGT performance correlates with chasing frequency, it is not associated with the decision to continue or cease gambling. Intriguingly, gambling severity (SOGS total score) did not feature in the final models of both regression analyses.

DISCUSSION

These findings emphasize the significant role of craving in driving chasing behavior. Additionally, this study introduces, for the first time, the idea that a dependent decision-making style could potentially serve as a safeguard against chasing proneness.

CONCLUSIONS

The study suggests a fundamental dichotomy between chasers and nonchasers among gamblers, irrespective of gambling severity. This distinction could be instrumental in tailoring more effective intervention strategies for gambling disorder treatment.

An Economic Model of Gambling Behaviour: A Two-Stage Approach

Gambling can cause significant harms and these can result in a net negative utility from participation, although lower levels of participation have potential benefits and can yield positive net utility. It is therefore important to understand and distinguish between these two stages of gambling behaviour. Currently, economic models have had limited focus on explaining why someone would gamble despite it yielding a negative utility. Here, we present a two-stage model, motivated by empirical literature and intuitive assumptions, that improves on existing economic models by distinguishing between the likelihood of gambling participation and of gambling that yields a negative utility. The model's predictions are empirically testable, consistent with existing literature, and add new insights. The model's ability to distinguish between the two stages helps to inform interventions that aim to reduce the prevalence of gambling-related harm while avoiding the need for restrictive approaches that aim to eliminate gambling altogether.

Gambling and virtual reality: unraveling the illusion of near-misses effect

Introduction

Studying gambling behavior is a crucial element in reducing the impact of problem gambling. Nevertheless, most current research is carried out in controlled laboratory settings rather than real-life situations, which raises concerns about how applicable the findings are in the broader context. Virtual reality (VR) has proven to be a valuable tool and has been utilized in various experimental scenarios. A limited number of studies have employed VR to investigate gambling behaviors, and few have explored them in an older adolescent context.

Methods

This study examined the behavioral and physiological effects of gambling behavior, including problem gambling, gaming addiction, and risk-taking decision-making in a sample of 36 high-school students aged between 18 to 20 years using an ad-hoc constructed VR scenario designed to simulate a slot-machine platform.

Results

The behavioral results highlighted that participants reporting more problem gambling were sensitive to near-misses: i.e., they bet more after near-misses than after losses. This result may reflect the false belief that gamblers, after near-misses, are closer to winning. Physiological data showed that participants exhibited heart rate deceleration during the anticipation of the outcome, which has been suggested to represent a marker of feedback anticipation processing and hyposensitivity to losses.

Discussion

Overall, this study provides evidence for a new VR tool to assess gambling behaviors and new insights into gambling-related behavioral and physiological factors. Implications for the treatment of problem gambling are discussed.

Behavioural expressions of loss-chasing in gambling: A systematic scoping review

BANERJEE Nilosmita., CHEN Zhang., CLARK Luke., NOËL Xavier. Behavioural expressions of loss-chasing in gambling: A systematic scoping review NEUROSCI BIOBEHAV REV 152(1) XXX-XXX, 2023. - Loss-chasing, the tendency to continue and/or intensify gambling following losses, is a key clinical symptom in gambling disorder and a central feature endorsed by at-risk problem gamblers. Despite its centrality, loss-chasing has been often operationalised across distinct behavioural expressions. The current systematic scoping review aimed to map the heterogeneous operationalisations of loss-chasing in the literature. The reviewed studies defined loss-chasing either between-sessions (n = 39) or within-sessions (n = 38), as a long-recognised distinction. For both categories, further behavioural expressions could be distinguished. Between-session loss-chasing was captured by endorsing an item 'returning another day/time to recoup losses', or behaviourally as the interval between successive sessions, or as increasing stakes in the next session. Within-session loss-chasing was defined as continuing and/or intensifying gambling either by increased risk-taking, stake size, or speed of play. Additionally, much heterogeneity was observed in the gambling contexts examined, the exact definition of loss, and the potential delineation of win-chasing. Open questions and future directions are discussed. Overall, this paper serves as a first step towards more conceptual clarity of loss-chasing.

Development and validation of a prediction model for online gambling problems based on players' account data

BACKGROUND AND AIMS

Gambling disorder is characterized by problematic gambling behavior that causes significant problems and distress. This study aimed to develop and validate a predictive model for screening online problem gamblers based on players' account data.

METHODS

Two random samples of French online gamblers in skill-based (poker, horse race betting and sports betting, n = 8,172) and pure chance games (scratch games and lotteries, n = 5,404) answered an online survey and gambling tracking data were retrospectively collected for the participants. The survey included age and gender, gambling habits, and the Problem Gambling Severity Index (PGSI). We used machine learning algorithms to predict the PGSI categories with gambling tracking data. We internally validated the prediction models in a leave-out sample.

RESULTS

When predicting gambling problems binary based on each PGSI threshold (1 for low-risk gambling, 5 for moderate-risk gambling and 8 for problem gambling), the predictive performances were good for the model for skill-based games (AUROCs from 0.72 to 0.82), but moderate for the model for pure chance games (AUROCs from 0.63 to 0.76, with wide confidence intervals) due to the lower frequency of problem gambling in this sample. When predicting the four PGSI categories altogether, performances were good for identifying extreme categories (non-problem and problem gamblers) but poorer for intermediate categories (low-risk and moderate-risk gamblers), whatever the type of game.

CONCLUSIONS

We developed an algorithm for screening online problem gamblers, excluding online casino gamblers, that could enable the setting of prevention measures for the most vulnerable gamblers.

Impact of wagering inducements on the gambling behaviors of on-line gamblers: A longitudinal study based on gambling tracking data

AIMS

To estimate whether the use of wagering inducements has a significant impact on the gambling behaviors of on-line gamblers and describe this temporal relation under naturalistic conditions.

DESIGN

This longitudinal observational study is part of the second stage of the Screening for Excessive Gambling Behaviors on the Internet (EDEIN) research program.

SETTING

Gambling tracking data from the French national on-line gambling authority (poker, horse race betting and sports betting) and from the French national lottery operator (lotteries and scratch games).

PARTICIPANTS

A total of 9306 gamblers who played poker, horse race or sports betting and 5682 gamblers who played lotteries and scratch games completed an on-line survey. The gender ratio was largely male (between 87.1% and 92.9% for poker, horse race betting and sports betting, and equal to 65.1% for lotteries). Median age ranged from 35 (sports betting) to 53 (horse race betting and lotteries).

MEASUREMENTS

The survey used the Problem Gambling Severity Index (PGSI) to determine the status of the gamblers (at-risk or not). Gambling tracking data included weekly gambling intensity (wagers, deposits), gambling frequency (number of gambling days), proxies of at-risk gambling behaviors (chasing and breadth of involvement) and use of wagering inducements.

FINDINGS

The use of wagering inducements was associated with an increase of gambling intensity [β between -0.06 (-0.08; -0.05) and 0.57 (0.54; 0.60)], gambling frequency [β between 0.12 (0.10; 0.18) and 0.29 (0.28; 0.31)] and at-risk gambling behaviors [odds ratio between 1.32 (1.16; 1.50) and 4.82 (4.61; 5.05)] at the same week of their use. This effect was stronger for at-risk gambling behaviors and at-risk gamblers.

CONCLUSIONS

Wagering inducements may represent a risk factor for developing or exacerbating gambling problems.

Delay Discounting in Established and Proposed Behavioral Addictions: A Systematic Review and Meta-Analysis

Steep delay discounting, or a greater preference for smaller-immediate rewards over larger-delayed rewards, is a common phenomenon across a range of substance use and psychiatric disorders. Non-substance behavioral addictions (e.g., gambling disorder, internet gaming disorder, food addiction) are of increasing interest in delay discounting research. Individual studies have reported steeper discounting in people exhibiting various behavioral addictions compared to controls or significant correlations between discounting and behavioral addiction scales; however, not all studies have found significant effects. To synthesize the published research in this area and identify priorities for future research, we conducted a pre-registered systematic review and meta-analysis (following PRISMA guidelines) of delay discounting studies across a range of behavioral addiction categories. The final sample included 78 studies, yielding 87 effect sizes for the meta-analysis. For studies with categorical designs, we found statistically significant, medium-to-large effect sizes for gambling disorder (Cohen’s d = 0.82) and IGD (d = 0.89), although the IGD effect size was disproportionately influenced by a single study (adjusted d = 0.53 after removal). Categorical internet/smartphone studies were non-significant (d = 0.16, p = 0.06). Aggregate correlations in dimensional studies were statistically significant, but generally small magnitude for gambling (r = 0.22), internet/smartphone (r = 0.13) and food addiction (r = 0.12). Heterogeneity statistics suggested substantial variability across studies, and publication bias indices indicated moderate impact of unpublished or small sample studies. These findings generally suggest that some behavioral addictions are associated with steeper discounting, with the most robust evidence for gambling disorder. Importantly, this review also highlighted several categories with notably smaller effect sizes or categories with too few studies to be included (e.g., compulsive buying, exercise addiction). Further research on delay discounting in behavioral addictions is warranted, particularly for categories with relatively few studies.

The investigation of mechanisms underlying addictive behaviors: a case-control study

Background: The contradictory nature of behavioral addictions has sustained a nondefinitive debate regarding their construct validity. Objective(s): The current study aims at exploring mechanisms underlying two distinct classes of behaviors-behavioral addictions characterized by core alterations in reward processing systems (ARPS) and behaviors with a main function of maladaptive coping. Methods: This case-control study included 99 treatment-seeking individuals with a primary diagnosis of alcohol use disorder (male: N = 68; female: N = 31) and 74 healthy control (HC) subjects (male: N = 38; female: N = 36). The severity of maladaptive behaviors was measured through the Shorter PROMIS Questionnaire (SPQ). Latent mechanisms were assessed by the Disinhibition Domain of the Personality Inventory for DSM-5 (PID-5-DI) and the Acceptance and Action Questionnaire-II (AAQ-II). Results: The clinical group showed higher severity of behavioral addictions than HC. This difference was not replicated for the other class of maladaptive behaviors, except for compulsive buying. Ordinal regression analysis showed that the clinical group significantly predicted SPQ scores reflecting ARPS, SPQ shopping and starving subscales. This was not replicated for the overall SPQ score capturing maladaptive coping and binge eating behaviors. Controlling for PID-5-DI and AAQ-II scores, which were significantly associated to SPQ subscales, effects of the aforementioned clinical group were not significant. Conclusions: The study highlighted distinct and common mechanisms underlying different classes of maladaptive behaviors. Results supported future neuroscience research for clarifying the role of ARPS in compulsive sex and buying in order to consider them as addictive disorders.

Positive Illusions: The Role of Cognitive Distortions Related to Gambling and Temporal Perspective in Chasing Behavior

Chasing, or continuing to gamble to recoup previous losses, is a behavioral marker and a diagnostic criterion for gambling disorder. Even though chasing has been recognized to play a central role in gambling disorder, research on chasing is still relatively scarce. This study first empirically investigated the interplay between cognitive distortions related to gambling, temporal perspective, and chasing behavior in a sample of habitual gamblers. Two hundred and fifty-five adults took part in the study. Participants completed the South Oaks Gambling Screen (SOGS), the Gambling Related Cognitions Scale (GRCS), the 14-item Consideration of Future Consequences scale (CFC-14), and performed a computerized task assessing chasing behavior. Participants were randomly assigned to three experimental conditions (Control, Loss, and Win). Hierarchical logistic regression analysis showed that the decision to chase depended on scores on the CFC-14 Immediate scale and the GRCS dimensions Gambling Expectancies and Interpretative Bias. Hierarchical linear regression analysis indicated that, chasing frequency was affected by Loss condition, distortions related to gambling expectancies and predictive control, as well as by myopia for the future. Interestingly, the results of path analysis clearly indicated that some cognitions related to gambling predict chasing frequency not only directly, but also indirectly via shortened time horizon. Notably, gambling severity did not predict either the decision to chase, or the chasing persistence. These findings provide further evidence that nonchasers and chasers seem to belong to two quite distinct subtypes of gamblers. Such a difference could be useful for targeting more effective intervention strategies in gambling disorder treatment.

Chasing the desire: An investigation on the role of craving, time perspective, and alcohol use in adolescent gambling

Chasing, or continuing to gamble to recoup losses, is a behavioral marker and a diagnostic criterion for gambling disorder. Research on chasing has focused mainly on adults, whereas the analysis of chasing behavior among adolescents has not received empirical attention in the gambling literature. The aim of the present study was to first investigate the interplay between chasing behavior, craving, temporal perspective, alcohol use, and gambling severity among Italian adolescents. Three hundred and sixty-four adolescents took part in the study. Participants completed the South Oaks Gambling Screen Revised for Adolescents (SOGS-RA), the Gambling Craving Scale (GACS), the 14-item Consideration of Future Consequences scale (CFC-14), the Alcohol Use Disorders Identification Test (AUDIT), and performed a computerized task assessing chasing behavior. Participants were randomly assigned to the control and the loss condition of the computerized task. Results indicated that the choice to continue playing, as well as chasing frequency did not vary as a function of experimental condition. Hierarchical logistic and linear regression analyses revealed that the decision to chase depended mostly on craving, whereas chasing propensity was affected by craving and alcohol misuse. Notably, gambling severity did not predict either the decision to chase, or the chasing persistence. The present study contributes important findings to the gambling literature, highlighting the role of craving alcohol use in facilitating the inability to stop within-sessions gambling among adolescents. These findings may provide evidence that nonchasers and chasers represent two different types of gamblers, and that the difference may be useful for targeting more effective therapies.

Cognitive dynamics of intertemporal choice in gambling disorder

Gambling Disorder (GD) is a behavioral addiction characterized by the persistence of recurrent gambling behaviors despite serious adverse consequences. One of the key features of GD is a marked inability to delay gratification and an overall impairment of decision-making mechanisms. Indeed, in intertemporal choice (ITC) tasks, GD patients usually display a marked tendency to prefer smaller-sooner over larger-later rewards (temporal discounting, TD). However, ITC represents a highly verbal/explicit measure, and as such it might not be sensitive to implicit decision biases. Here we sought to uncover the implicit mechanisms underlying the ITC impairment in GD by employing the process-tracing method of mouse kinematics. To this aim, we collected and analyzed ITCs and kinematics measures from 24 GD patients and 23 matched healthy control participants (HC). In line with the relevant literature, the results showed that GD patients discounted future rewards more steeply compared to HCs. Additionally, the results of kinematics analyses showed that patients were characterized by a strong bias toward the immediate option, which was associated with straight-line trajectories. Conversely, the delayed option was selected with edge-curved trajectories, indicating a bias toward the immediate option which was revised in later stages of processing. Interestingly, kinematics indices were also found to be predictive of individual discounting preferences (i.e., discount rates) across the two groups. Taken together, these results suggest that kinematics indices, by revealing hidden and implicit patterns of attraction toward the unselected choice option, may represent reliable behavioral markers of TD in gambling disorder.

Modeling Early Gambling Behavior Using Indicators from Online Lottery Gambling Tracking Data: Longitudinal Analysis

BACKGROUND

Individuals who gamble online may be at risk of gambling excessively, but internet gambling also provides a unique opportunity to monitor gambling behavior in real environments which may allow intervention for those who encounter difficulties.

OBJECTIVE

The objective of this study was to model the early gambling trajectories of individuals who play online lottery.

METHODS

Anonymized gambling-related records of the initial 6 months of 1152 clients of the French national lottery who created their internet gambling accounts between September 2015 and February 2016 were analyzed using a two-step approach that combined growth mixture modeling and latent class analysis. The analysis was based upon behavior indicators of gambling activity (money wagered and number of gambling days) and indicators of gambling problems (breadth of involvement and chasing). Profiles were described based upon the probabilities of following the trajectories that were identified for the four indicators, and upon several covariates (age, gender, deposits, type of play, net losses, voluntary self-exclusion, and Playscan classification-a responsible gambling tool that provides each player with a risk assessment: green for low risk, orange for medium risk and red for high risk). Net losses, voluntary self-exclusion, and Playscan classification were used as external verification of problem gambling.

RESULTS

We identified 5 distinct profiles of online lottery gambling. Classes 1 (56.8%), 2 (14.8%) and 3 (13.9%) were characterized by low to medium gambling activity and low values for markers of problem gambling. They displayed low net losses, did not use the voluntary self-exclusion measure, and were classified predominantly with green Playscan tags (range 90%-98%). Class 4 (9.7%) was characterized by medium to high gambling activity, played a higher breadth of game types (range 1-6), and had zero to few chasing episodes. They had high net losses but were classified with green (66%) or orange (25%) Playscan tags and did not use the voluntary self-exclusion measure. Class 5 (4.8%) was characterized by medium to very high gambling activity, played a higher breadth of game types (range 1-17), and had a high number of chasing episodes (range 0-5). They experienced the highest net losses, the highest proportion of orange (32%) and red (39%) tags within the Playscan classification system and represented the only class in which voluntary self-exclusion was present.

CONCLUSIONS

Classes 1, 2, 3 may be considered to represent recreational gambling. Class 4 had higher gambling activity and higher breadth of involvement and may be representative of players at risk for future gambling problems. Class 5 stood out in terms of much higher gambling activity and breadth of involvement, and the presence of chasing behavior. Individuals in classes 4 and 5 may benefit from early preventive measures.

Gambling and substance use: Comorbidity and treatment implications

Gambling disorder is a common condition that was previously listed as an impulse control disorder, but is now considered a substance-related and addictive disorder. Gambling disorder has been associated with various untoward long-term outcomes including impaired quality of life, relationship break-ups, debt and mortgage foreclosure, and elevated risk of suicidality. This paper provides a concise primer on gambling disorder, with a special focus on its parallels with substance use disorders. We consider clinical presentations, comorbid expression, heritability, and treatment approaches (psychological and pharmacological). Lastly, we highlight new treatment directions suggested by the literature.

To chase or not to chase: A study on the role of mentalization and alcohol consumption in chasing behavior

BACKGROUND AND AIMS

Chasing is a behavioral marker and a diagnostic criterion for gambling disorder. Although chasing has been recognized to play a central role in gambling disorder, research on this topic is relatively scarce. This study investigated the association between chasing, alcohol consumption, and mentalization among habitual gamblers.

METHOD

A total of 132 adults took part in the study. Participants were administered the South Oaks Gambling Screen, the Alcohol Use Disorders Identification Test, the Reflective Functioning Questionnaire, and a laboratory task assessing chasing behavior. Participants were randomly assigned to three experimental conditions (Control, Loss, and Win). To deeply investigate chasing behavior, participants were requested to indicate the reasons for stopping or continuing playing at the end of the experimental session.

RESULTS

Logistic regression analysis showed that the choice to stop or continue playing depended on experimental condition and alcohol use. Hierarchical linear regression indicated that chasing propensity was affected by experimental condition, alcohol consumption, and deficit in mentalization. The results of path analysis showed that hypermentalizing predicts chasing not only directly, but also indirectly via alcohol consumption.

CONCLUSIONS

Overall, these results for the first time showed that hypermentalization plays a key role in chasing behavior over and above gambling severity. Since these findings support the idea that chasers and non-chasers are different subtypes of gamblers, clinical interventions should consider the additive role of chasing in gambling disorder.