The paradoxical relationship between emotion regulation and gambling-related cognitive biases

Lara, Cristian M. Ruiz de; Navas, Juan F.; Perales, José C.

doi:10.1371/journal.pone.0220668

Cited by 46 publications

(28 citation statements)

References 99 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The results obtained in this work showing the relationships between high impulsivity and strong cognitive biases with the gambling symptoms level are consistent with previous evidence reported in scientific literature (Del Prete et al, 2017;Michalczuk, Bowden-Jones, Verdejo-Garcia, & Clark, 2011;Ruiz de Lara, Navas, & Perales, 2019). It has been postulated that impulsivity behavior in decision making tasks could predispose individuals to accept erroneous beliefs without questioning in GD in atrisk (problem) gambling (Ioannidis et al, 2019).…”

Section: Discussionsupporting

confidence: 92%

The influence of chronological age on cognitive biases and impulsivity levels in male patients with gambling disorder

Granero

Fernández‐Aranda

Valero-Solís

et al. 2020

Journal of Behavioral Addictions

View full text Add to dashboard Cite

Background and aimsDue to the contribution of age to the etiology of gambling disorder (GD), there is a need to assess the moderator effect of the aging process with other features that are highly related with the clinical profile. The objective of this study is to examine the role of the chronological age into the relationships between cognitive biases, impulsivity levels and gambling preference with the GD profile during adulthood.MethodsSample included n = 209 patients aged 18–77 years-old recruited from a Pathological Gambling Outpatients Unit. Orthogonal contrasts explored polynomial patterns in data, and path analysis implemented through structural equation modeling assessed the underlying mechanisms between the study variables.ResultsCompared to middle-age patients, younger and older age groups reported more impairing irrational beliefs (P = 0.005 for interpretative control and P = 0.043 for interpretative bias). A linear trend showed that as people get older sensation seeking (P = 0.006) and inability to stop gambling (P = 0.018) increase. Path analysis showed a direct effect between the cognitive bias and measures of gambling severity (standardized effects [SE] between 0.12 and 0.17) and a direct effect between impulsivity levels and cumulated debts due to gambling (SE = 0.22).ConclusionScreening tools and intervention plans should consider the aging process. Specific programs should be developed for younger and older age groups, since these are highly vulnerable to the consequences of gambling activities and impairment levels of impulsivity and cognitive biases.

show abstract

Section: Discussionsupporting

confidence: 92%

The influence of chronological age on cognitive biases and impulsivity levels in male patients with gambling disorder

Granero

Fernández‐Aranda

Valero-Solís

et al. 2020

Journal of Behavioral Addictions

View full text Add to dashboard Cite

show abstract

“…Taken together, results fit well in the Gambling Space Model formulated by Navas et al [ 45 ] (see also [ 42 , 46 ]). In this model, articulated as a development of the seminal Pathways Model [ 47 ], transition from recreational to disordered gambling is driven by the kind of reinforcement schedules that have been experimentally shown to also facilitate transition from goal-driven to compulsive behaviors.…”

Section: Discussionsupporting

confidence: 87%

Decision-making inflexibility in a reversal learning task is associated with severity of problem gambling symptoms but not with a diagnosis of substance use disorder

Jara-Rizzo¹,

Navas²,

Rodas³

et al. 2020

BMC Psychol

Self Cite

View full text Add to dashboard Cite

Background Decisions made by individuals with disordered gambling are markedly inflexible. However, whether anomalies in learning from feedback are gambling-specific, or extend beyond gambling contexts, remains an open question. More generally, addictive disorders—including gambling disorder—have been proposed to be facilitated by individual differences in feedback-driven decision-making inflexibility, which has been studied in the lab with the Probabilistic Reversal Learning Task (PRLT). In this task, participants are first asked to learn which of two choice options is more advantageous, on the basis of trial-by-trial feedback, but, once preferences are established, reward contingencies are reversed, so that the advantageous option becomes disadvantageous and vice versa. Inflexibility is revealed by a less effective reacquisition of preferences after reversal, which can be distinguished from more generalized learning deficits. Methods In the present study, we compared PRLT performance across two groups of 25 treatment-seeking patients diagnosed with an addictive disorder and who reported gambling problems, and 25 matched controls [18 Males/7 Females in both groups, Mage(SDage) = 25.24 (8.42) and 24.96 (7.90), for patients and controls, respectively]. Beyond testing for differences in the shape of PRLT learning curves across groups, the specific effect of problematic gambling symptoms’ severity was also assessed independently of group assignment. In order to surpass previous methodological problems, full acquisition and reacquisition curves were fitted using generalized mixed-effect models. Results Results showed that (1) controls did not significantly differ from patients in global PRLT performance nor showed specific signs of decision-making inflexibility; and (2) regardless of whether group affiliation was controlled for or not, gambling severity was specifically associated with more inefficient learning in phases with reversed contingencies. Conclusion Decision-making inflexibility, as revealed by difficulty to reacquire decisional preferences based on feedback after contingency reversals, seems to be associated with gambling problems, but not necessarily with a substance-use disorder diagnosis. This result aligns with gambling disorder models in which domain-general compulsivity is linked to vulnerability to develop gambling-specific problems with exposure to gambling opportunities.

show abstract

“…Taken together, results fit well in the Gambling Space Model formulated by Navas et al [37] (see also [32,38]). In this model, articulated as a development of the seminal Pathways…”

Section: Discussionsupporting

confidence: 83%

Decision-making inflexibility in a reversal learning task is associated with severity of problem gambling symptoms but not with a diagnosis of substance use disorder

Jara-Rizzo¹,

Navas²,

Rodas³

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

Background: Decisions made by disordered gamblers are markedly inflexible. However, whether anomalies in learning from feedback are gambling-specific, or extend beyond gambling contexts, remains an open question. More generally, addictive disorders –including gambling disorder– have been proposed to be facilitated by individual differences in learning-driven decision-making inflexibility. Individual differences in decision-making inflexibility have been studied in the lab with the Affective Probabilistic Reversal Learning Task (PRLT). In this task, participants are first asked to learn which of two choice options is more advantageous, on the basis of trial-by-trial feedback, but, once preferences are established, reward contingencies are reversed, so that the advantageous option becomes disadvantageous and vice versa. Inflexibility is revealed by a less effective reacquisition of preferences after reversal, which can be distinguished from more generalized acquisition deficits.Methods: In the present study, we compared PRLT performance across two groups of 25 treatment-seeking patients with an addictive disorder and reported gambling problems, and 25 matched controls [18 Males/7 Females in both groups, Mage(SDage) = 25.24 (8.42) and 24.96 (7.90), for patients and controls, respectively]. Beyond testing for differences in the shape of PRLT learning curves across groups, the specific effect of gambling symptoms’ severity was also assessed in the group of patients. In order to surpass previous methodological problems, full acquisition and reacquisition curves were fitted using generalized mixed-effect models. Results: Results showed that (1) controls learned more efficiently than patients in all phases of the task, and were more likely to make correct choices by the end of each task phase, regardless of contingency (and so there were no specific signs of decision-making inflexibility in the group of patients); (2) gambling severity in the group of patients was specifically associated with more inefficient learning in phases with reversed contingencies (i.e., decision-making inflexibility). Conclusion: Decision-making inflexibility, as revealed by difficulty to reacquire decisional preferences based on feedback after contingency reversals, seems to be specifically associated with gambling problems, but not necessarily with a substance-use disorder diagnosis. This result aligns with gambling disorder models in which domain-general compulsivity is linked to vulnerability to develop gambling-specific problems with exposure to gambling opportunities.

show abstract

The paradoxical relationship between emotion regulation and gambling-related cognitive biases

Cited by 46 publications

References 99 publications

The influence of chronological age on cognitive biases and impulsivity levels in male patients with gambling disorder

The influence of chronological age on cognitive biases and impulsivity levels in male patients with gambling disorder

Decision-making inflexibility in a reversal learning task is associated with severity of problem gambling symptoms but not with a diagnosis of substance use disorder

Decision-making inflexibility in a reversal learning task is associated with severity of problem gambling symptoms but not with a diagnosis of substance use disorder

Contact Info

Product

Resources

About