Heterogeneity of Loss Aversion in Pathological Gambling

Segmenting the Market: How Understanding Differences Among Smokers Can Improve Cigarette Warning Labels

Health warning labels on cigarette packs are one of the most widely implemented and effective tobacco control interventions. Since their implementation in the United States in 1964, the appearance of these warnings has evolved as research surrounding them has grown. However, improved cigarette warning labels are needed in order to accelerate smoking quit rates and reduce smoking-attributable deaths. The Message Impact Framework describes the mechanisms through which such warnings influence attention, attitudes, knowledge, and intentions to quit smoking, which can ultimately lead to behavioral change. This framework has been used to advance tobacco regulatory research regarding cigarette warning labels; however, studies surrounding warning messages demonstrate how messaging influences smokers but are limited in how variability among smokers (e.g. cultural perspectives) can influence warning message interpretation. If cigarette warning labels are not sufficiently framed to account for diversity within the smoking population, they may not reach their intended audiences or have their intended effects. Rather than treating smokers as a monolith, this review draws on research to demonstrate the need for marketing segmentation of smokers. Such information can then be leveraged to update the Message Impact Framework and develop more targeted cigarette warning labels.

Computational and Neural Evidence for Altered Fast and Slow Learning from Losses in Problem Gambling

Learning occurs across multiple timescales, with fast learning crucial for adapting to sudden environmental changes, and slow learning beneficial for extracting robust knowledge from multiple events. Here, we asked if miscalibrated fast vs slow learning can lead to maladaptive decision-making in individuals with problem gambling. We recruited participants with problem gambling (PG; N = 20; 9 female and 11 male) and a recreational gambling control group without any symptoms associated with PG (N = 20; 10 female and 10 male) from the community in Los Angeles, CA. Participants performed a decision-making task involving reward-learning and loss-avoidance while being scanned with fMRI. Using computational model fitting, we found that individuals in the PG group showed evidence for an excessive dependence on slow timescales and a reduced reliance on fast timescales during learning. fMRI data implicated the putamen, an area associated with habit, and medial prefrontal cortex (PFC) in slow loss-value encoding, with significantly more robust encoding in medial PFC in the PG group compared to controls. The PG group also exhibited stronger loss prediction error encoding in the insular cortex. These findings suggest that individuals with PG have an impaired ability to adjust their predictions following losses, manifested by a stronger influence of slow value learning. This impairment could contribute to the behavioral inflexibility of problem gamblers, particularly the persistence in gambling behavior typically observed in those individuals after incurring loss outcomes.

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.

Health-Related, Social and Cognitive Factors Explaining Gambling Addiction

BACKGROUND

Gambling addiction was the first addictive behavior not related to substance use that was recognized by the DSM-5. It shares diagnostics and comorbidity with other addictions. Extensive studies have investigated the clinical variables involved, but there have been fewer studies of related cognitive and social variables. In this research, an integrative model was developed to advance the understanding of gambling addiction, and an explanatory model was created based on the concept of cognitive distortions.

METHODS

The sample comprised 258 university students (59.5% women) with a mean age of 20.95 years (SD = 2.19). A series of questionnaires were administered to measure gambling addiction, depression, coping with stress, prosocial behavior, susceptibility to priming and cognitive distortions about gambling. In addition, correlations, multiple linear regressions and a simple mediation model of these variables were analyzed.

RESULTS

The results indicated that gambling addiction was correlated with a variety of clinical, social and cognitive factors. These factors contributed to a model that predicted 16.8% of the variance in gambling addiction and another model using cognitive distortions as a predictor and the maximum bet as a mediator that predicted 34.5% of the variance.

CONCLUSIONS

The study represents an advance by developing a theoretical model from an integrative perspective and providing a new explanatory model. The findings of this research are of great importance in the development of prevention and intervention programs for gambling addiction.

Testing the effect of high-definition transcranial direct current stimulation of the insular cortex to modulate decision-making and executive control

Introduction

Previous neuroimaging evidence highlighted the role of the insular and dorsal anterior cingulate cortex (dACC) in conflict monitoring and decision-making, thus supporting the translational implications of targeting these regions in neuro-stimulation treatments for clinical purposes. Recent advancements of targeting and modeling procedures for high-definition tDCS (HD-tDCS) provided methodological support for the stimulation of otherwise challenging targets, and a previous study confirmed that cathodal HD-tDCS of the dACC modulates executive control and decision-making metrics in healthy individuals. On the other hand, evidence on the effect of stimulating the insula is still needed.

Methods

We used a modeling/targeting procedure to investigate the effect of stimulating the posterior insula on Flanker and gambling tasks assessing, respectively, executive control and both loss and risk aversion in decision-making. HD-tDCS was applied through 6 small electrodes delivering anodal, cathodal or sham stimulation for 20 min in a within-subject offline design with three separate sessions.

Results

Bayesian statistical analyses on Flanker conflict effect, as well as loss and risk aversion, provided moderate evidence for the null model (i.e., absence of HD-tDCS modulation).

Discussion

These findings suggest that further research on the effect of HD-tDCS on different regions is required to define reliable targets for clinical applications. While modeling and targeting procedures for neuromodulation in clinical research could lead to innovative protocols for stand-alone treatment, or possibly in combination with cognitive training, assessing the effectiveness of insula stimulation might require sensitive metrics other than those investigated here.

Gambling and Aging: An Overview of a Risky Behavior

Gambling is a field of study that has grown since the 2000s. Much research has focused on adolescents and youth as a vulnerable population. The rate of aging gamblers is increasing; however, evidence-based knowledge of this population is still too sparse. After introducing the issue (1), this article provides a narrative review of older adults' gambling through three sections: (2) older adult gamblers (age, characteristics, and motivations), (3) gambling as a risky decision-making situation, and (4) gambling disorder related to older adults. By drawing on the existing literature from a problematization perspective, this type of review can highlight complex and original research topics and provoke thought and controversy to generate avenues for future research. This narrative review provides an overview of the existing literature on gambling among older adults and offers perspectives on how aging can affect decision-making and thus gambling for this population. Older adults are a specific population, not only in terms of the consequences of gambling disorders but also in terms of the motivations and cognitions underlying gambling behaviors. Studies on behavioral science focusing on decision-making in older adults could help in the development of public policy in terms of targeted prevention.

Network Analysis of the Structure of the Core Symptoms and Clinical Correlates in Comorbid Schizophrenia and Gambling Disorder

Few studies have analyzed the clinical profile of treatment-seeking patients with the comorbid presence of schizophrenia (SCZ) and gambling disorder (GD), which warrants new research to assess the network structure of this complex mental condition. The aim of this study was to explore the organization of the symptoms and other clinical correlates of SCZ with GD. Network analysis was applied to a sample of N = 179 SCZ patients (age range: 19-70 years, mean=39.5, SD=9.9) who met clinical criteria for gambling disorder-related problems. Variables included in the network were the core GD symptoms according to the DSM-5, psychotic and paranoid ideation levels, global psychological distress, GD severity measures (debts and illegal behavior related with gambling), substances (tobacco, alcohol, and illegal drugs), and personality profile. The nodes with the highest authority in the network (variables of highest relevance) were personality traits and psychological distress. Four empirical modules/clusters were identified, and linkage analysis identified the nodes with the highest closeness (bridge nodes) to be novelty seeking and reward dependence (these traits facilitate the transition between the modules). Identification of the variables with the highest centrality/linkage can be particularly useful for developing precise management plans to prevent and treat SCZ with GD.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11469-022-00983-y.

Decision Making in Addictive Behaviors Based on Prospect Theory: A Systematic Review

Traditionally, research on addictive behaviors has been based on the study of their risk factors, with impulsivity being the main risk factor. However, this study aims to approach this topic from the analysis of decision making. According to the prospect theory, low levels of loss and risk aversion will increase the probability of showing addictive behaviors. A systematic review of the possible relationships between these behaviors and prospect theory was carried out. To this end, the works that have studied loss and risk aversion in populations with addictive behaviors to date (N = 15) were compiled. Apart from other eligibility criteria, the selection process was only performed with studies that included the prospect theory or cumulative prospect theory, in English or Spanish, since 1979. WoS, Scopus, Dialnet and PsycInfo were the information sources selected. For this purpose, PRISMA guidelines have been followed. It was found that users of addictive substances show less loss aversion than nonusers. These results cannot be transferred to pathological gamblers. The significance of this work for future research and the implementation of prevention and intervention programs is highlighted. The results show an approach to addictions from a novel perspective.

High-definition transcranial direct current stimulation of the dorsal anterior cingulate cortex modulates decision-making and executive control

Previous neuroimaging evidence highlights the translational implications of targeting the dorsal anterior cingulate cortex (dACC), i.e. a key node of the networks underlying conflict monitoring and decision-making, in brain stimulation treatments with clinical or rehabilitative purposes. While the optimized modelling of "high-definition" current flows between multiple anode-cathode pairs might, in principle, allow to stimulate an otherwise challenging target, sensitive benchmark metrics of dACC neuromodulation are required to assess the effectiveness of this approach. On this basis, we aimed to assess the modulatory effect of anodal and cathodal high-definition tDCS (HD-tDCS) of the dACC on different facets of executive control and decision-making in healthy young individuals. A combined modelling/targeting procedure provided the optimal montage for the maximum intensity of dACC stimulation with six small "high-definition" electrodes delivering anodal, cathodal or sham HD-tDCS for 20 min in a within-subject design with three separate sessions. Following stimulation, participants performed Flanker and gambling tasks unveiling individual differences in executive control and both loss- and risk-aversion in decision-making, respectively. Compared to both anodal and sham conditions, cathodal dACC stimulation significantly affected task performance by increasing control over the Flanker conflict effect, and both loss and risk-aversion in decision-making. By confirming the feasibility and effectiveness of dACC stimulation with HD-tDCS, these findings highlight the implications of modelling and targeting procedures for neuromodulation in clinical research, whereby innovative protocols might serve as treatment addressing dysfunctional dACC activity, or combined with cognitive training, to enhance higher-order executive functioning in different neuropsychiatric conditions.

Tailored Cigarette Warning Messages: How Individualized Loss Aversion and Delay Discounting Rates Can Influence Perceived Message Effectiveness

Current text-only cigarette warning labels (long-term, loss-framed messages) may not motivate positive changes in smoking behavior. The current project was a cross-sectional study examining the effects of tailored cigarette warnings on perceived message effectiveness (PME) in adult smokers (n = 512) conducted using Amazon Mechanical Turk (M-Turk) in January–February 2020. Participants were an average age of 40.7 (SD = 11.6), with the majority of the sample being female (62.2%) and White (88.9%). Participants reported smoking an average of 14.6 cigarettes/day (SD = 9.2) with an average FTND score of 4.6 (SD = 2.2). Participants were asked to complete a tobacco use history questionnaire, and mixed gambles and delay discounting tasks before random assignment to one of five message groups. The groups were based on a 2 (gain versus loss framing) ×2 (short-term versus long-term framing) between-subject design; a fifth group served as the control group. All experimental messages reported higher PME scores than the control (p values < 0.001, Cohen’s d = 1.88–2.48). Participants with shallower delayed reward discounting and lower loss aversion rates reported higher total PME scores, p values < 0.05. Our findings also suggest that loss aversion rates vary widely among smokers and that individuals are more responsive to messages congruent with their behavioral economic profile. Specifically, smokers who viewed messages congruent with their loss aversion and delay discounting rates reported higher PME scores than those who viewed incongruent messages (p = 0.04, Cohen’s d = 0.24). These preliminary findings suggest that anti-smoking campaigns may best impact smokers by tailoring messages based on individual loss aversion and delay discounting rates versus a one-size-fits-all approach.

Problem Gambling 'Fuelled on the Fly'

Problem gambling is a gambling disorder often described as continued gambling in the face of increasing losses. In this article, we explored problem gambling behaviour and its psychological determinants. We considered the assumption of stability in risky preferences, anticipated by both normative and descriptive theories of decision making, as well as recent evidence that risk preferences are in fact 'constructed on the fly' during risk elicitation. Accordingly, we argue that problem gambling is a multifaceted disorder, which is 'fueled on the fly' by a wide range of contextual and non-contextual influences, including individual differences in personality traits, hormonal and emotional activations. We have proposed that the experience of gambling behaviour in itself is a dynamic experience of events in time series, where gamblers anchor on the most recent event-typically a small loss or rare win. This is a highly adaptive, but erroneous, decision-making mechanism, where anchoring on the most recent event alters the psychological representations of substantial and accumulated loss in the past to a representation of negligible loss. In other words, people feel better while they gamble. We conclude that problem gambling researchers and policy makers will need to employ multifaceted and holistic approaches to understand problem gambling.

Craving for Gambling Predicts Income-Generating Offenses: A Pathways Model of a Japanese Prison Population

The links between gambling and criminal offenses have been frequently reported, but the pathways from gambling to a particular offense have not. Our study applied a pathways model to predict participants' income-generating, drug-related, and violent offenses stemming from their craving for gambling. The participants were 332 male inmates in a Japanese local prison. They answered questionnaires on gambling behavior, alcohol addiction, Internet addiction, impulsivity, and psychopathy. Their official records with information on their current offense, sentence length, number of imprisonments, and length of education were also analyzed. The results show that 38.55% (n = 128) of the participants had a probable gambling disorder, a rate of problem gambling at least four times higher than that among the general Japanese population. Furthermore, their craving for gambling predicted their income-generating offenses, but not their drug-related and violent offenses. Their craving for gambling can thus be linked to their financial issues, rather than their emotional and impulsive issues. The pathways model explained the path not only from addiction/psychopathy to gambling, but also from gambling to committing an income-generating offense.

Association of Loss Aversion, Personality Traits, Depressive, Anxious, and Suicidal Symptoms: Systematic Review

OBJECTIVE

Loss aversion is defined as the individual perception of losses with a more significant impact than the gains of the same proportion, where people would be more sensitive to the possibility of losing objects or money than to the possibility of winning, even the same quantities. However, studies relating to loss aversion and psychological factors are still incipient. The aim of the present literature review was to identify and analyze the results of studies that investigated loss aversion regarding personality traits and symptoms of depression, anxiety, and suicidal tendencies.

METHOD

A systematic review was done through PUBMED and Scopus databases. Descriptors were defined according to each database specificities.

RESULTS

At first, 103 articles were encountered. After evaluation of the inclusion and exclusion criteria, there were a total of 14 remaining articles that were group together into six categories related to loss aversion, depression, anxiety, suicidal tendencies, and personality.

CONCLUSIONS

The present study contributes to the literature mapping in the Behavioural Economics field. However, discrepancies were found among the studies, which made it difficult to acquire more conclusive findings.

Psychological mechanisms of loss aversion: A drift-diffusion decomposition

Decision makers often reject mixed gambles offering equal probabilities of a larger gain and a smaller loss. This important phenomenon, referred to as loss aversion, is typically explained by prospect theory, which proposes that decision makers give losses higher utility weights than gains. In this paper we consider alternative psychological mechanisms capable of explaining loss aversion, such as a fixed utility bias favoring rejection, as well as a bias favoring rejection prior to gamble valuation. We use a drift diffusion model of decision making to conceptually distinguish, formally define, and empirically measure these mechanisms. In two preregistered experiments, we show that the pre-valuation bias provides a very large contribution to model fits, predicts key response time patterns, reflects prior expectations regarding gamble desirability, and can be manipulated independently of the valuation process. Our results indicate that loss aversion is the result of multiple different psychological mechanisms, and that the pre-valuation bias is a fundamental determinant of this well-known behavioral tendency. These results have important implications for how we model behavior in risky choice tasks, and how we interpret its relationship with various psychological, clinical, and neurobiological variables.

Explicit and Implicit Emotional Expression in Gambling Disorder Measured by a Serious Game: A Pilot Study

Behavioral addictions have been related with biased emotional reactions to risky choices. However, few studies have analyzed the role of both explicit and implicit emotional expression in gambling disorder (GD). This pilot study aims to examine emotion regulation in treatment-seeking patients with GD. The sample included n = 35 participants classified into three groups: patients with current GD, patients with GD in remission, and a control group without GD. Implicit emotional expressions were evaluated through a serious videogame (Playmancer) and explicit emotions were measured through self-reports. Patients in the current GD group had, compared to the remission and control groups, lower levels of implicit emotion expression and higher levels of explicit emotion expression. The patients in GD remission group endorsed better emotion regulation capacity in comparison to patients with current GD. We conclude that differences in emotion expression profiles (such as anger and anxiety) should be considered both in the development of screening and diagnostic measures and in the planning of prevention and treatment programs.

Impulsive decision-making predicts the course of substance-related and addictive disorders

BACKGROUND

This study investigated whether patterns of impulsive decision-making (i) differ between individuals with DSM-5 substance use disorders (SUD) or non-substance-related addictive disorders (ND) and healthy controls, and (ii) predict the increase of SUD and ND severity after one year.

METHODS

In a prospective-longitudinal community study, 338 individuals (19-27 years, 59% female) were included in one of three groups: SUD (n = 100), ND (n = 118), or healthy controls (n = 120). Group differences in four impulsive decision-making facets were analyzed with the Bayesian priors: delay discounting (mean = 0.37, variance = 0.02), probability discounting for gains and for losses (each - 0.16, 0.02), and loss aversion (- 0.44, 0.02). SUD and ND severity were assessed at baseline and after 1 year (n = 312, 92%). Predictive associations between decision-making and SUD/ND severity changes were analyzed with the Bayesian prior: mean = 0.25, variance = 0.016.

RESULTS

Compared with controls, the SUD group displayed steeper delay discounting and lower probability discounting for losses; the ND group displayed lower probability discounting for losses (posterior probabilities > 98%). SUD symptom increase after 1 year was predicted by steeper delay discounting and lower loss aversion; ND symptom increase by lower probability discounting for losses and lower loss aversion (posterior probabilities > 98%). There was low evidence for predictive relations between decision-making and the quantity-frequency of addictive behaviours.

DISCUSSION

Impulsive decision-making characterizes SUD and ND and predicts the course of SUD and ND symptoms but not the engagement in addictive behaviours. Strength of evidence differed between different facets of impulsive decision-making and was mostly weaker than a priori expected.

A multi factorial model of self-harm behaviors in Anorexia-nervosa and Bulimia-nervosa

BACKGROUND

Co-existence of eating disorders and NSSI, suicide attempts and ideations is well established yet much is not known about the personality traits and behavioral tendencies that maintain this relationship. To this date no empirical work has been produced that offers a multifactorial view on the contributing variables to the occurrence of self-harm behaviors in EDs.

METHOD

Binge eating, depression, impulsivity, ruminations and loss aversion were assessed in a sample of 93 patients diagnosed with Anorexia-Nervosa and Bulimia-Nervosa and other EDs with a history of NSSI and suicide attempts.

RESULTS

Binge eating was found to be a predictor of depression, which in turn was found to be related to NSSI frequency, suicide attempts and suicide ideations. Ruminations were found to mediate a relationship between depression and suicide ideations. Trait impulsivity predicted suicide attempts, while the attentional construct of impulsivity was associated to suicide ideations as well as attempts. Higher loss aversion was positively associated with NSSI frequency and suicide ideations.

CONCLUSION

Our findings suggest that trait and state aspects of impulsivity are related to different self-harm behaviors in EDs. Exploring these differences is potentially of great value in understanding the process of transition from suicidal ideation to suicide attempt and the process of NSSI and may assist clinicians formulate better interventions for patients with EDs at risk. Ways in which individual findings in our model correspond with previous research and future implications are discussed.

Amygdala volume is associated with risky probability cognition in gambling disorder

Gambling disorder (GD) is characterized by continual gambling despite negative consequences. Risky decision-making is a hallmark of the disorder. We applied a tool from behavioral economics for assessing probability cognition in both gain and loss domains to GD. We aimed to examine the alteration of probability cognition and its relationship with brain structure in GD. Forty-six GD patients and 52 age-matched healthy controls (HCs) conducted a risky choice task in which subjects should choose between a sure and a risky option in both loss and gain domains. The distortion and elevation parameters of the probability weighting function were estimated. We compared the parameters between GD and HC and examined their relationships with the striatum and amygdala volumes in GD. GD showed greater elevation parameter in the gain domain and smaller regional gray matter volume in the left amygdala than HC. The elevation parameter in the gain domain showed a negative correlation with the left amygdala volume in GD. Altered probability cognition in the gain domain but not in the loss domain might be more relevant to risky decision-making in GD. Our findings indicate that alteration in the amygdala might play a significant role in risky decision-making of GD. Longitudinal studies are recommended to examine the causal relationship between brain abnormalities and risky decision-making in GD.

An fMRI study of decision-making under sunk costs in gambling disorder

The sunk cost effect is the tendency to continue an investment, or take an action, even though it has higher future costs than benefits, if costs of time, money, or effort were previously incurred. This type of decision bias is pervasive in real life and has been studied in various disciplines. Previous studies and clinical observations suggest that decision-making under sunk costs is altered in gambling disorder (GD). However, the neural mechanisms of decision-making under sunk costs in GD remain largely unknown, and so is their association with the clinical characteristics of this patient group. Here, by combining functional magnetic resonance imaging and the task that demonstrated a clear example of the sunk cost effect, we investigated the neural correlates during decision-making under sunk costs in GD. We found no significant differences in the strength of the sunk cost effect between the GD and healthy control (HC) groups. However, the strength of the sunk cost effect in patients with GD showed a significant negative correlation with abstinence period and a marginally significant positive correlation with the duration of illness. We also found a reduction in the neural activation in the dorsal medial prefrontal cortex during decision-making under sunk costs for the GD group compared with the HC group. Furthermore, in patients with GD, the levels of activation in this area negatively correlated with the duration of illness. These findings have important clinical implications. This study will contribute to a better understanding of the mechanisms underlying altered decision-making abilities in GD.

Reduced loss aversion in pathological gambling and alcohol dependence is associated with differential alterations in amygdala and prefrontal functioning

Diagnostic criteria for pathological gambling and alcohol dependence (AD) include repeated addictive behavior despite severe negative consequences. However, the concept of loss aversion (LA) as a facet of value-based decision making has not yet been used to directly compare these disorders. We hypothesized reduced LA in pathological gamblers (PG) and AD patients, correlation of LA with disorder severity, and reduced loss-related modulation of brain activity. 19 PG subjects, 15 AD patients and 17 healthy controls (HC) engaged in a LA task in a functional magnetic resonance imaging setting. Imaging analyses focused on neural gain and loss sensitivity in the meso-cortico-limbic network of the brain. Both PG and AD subjects showed reduced LA. AD subjects showed altered loss-related modulation of activity in lateral prefrontal regions. PG subjects showed indication of altered amygdala-prefrontal functional connectivity. Although we observed reduced LA in both a behavioral addiction and a substance-related disorder our neural findings might challenge the notion of complete neuro-behavioral congruence of substance-use disorders and behavioral addictions.