[Gambling and Gaming disorders and physical health of players: A critical review of the literature]

Association between endocrine and neuropsychological endophenotypes and gambling disorder severity

BACKGROUND

Neurobiological characteristics have been identified regarding the severity of gambling disorder (GD). The aims of this study were: (1) to examine, through a path analysis, whether there was a relationship between neuroendocrine features, potentially mediational GD variables, and GD severity, and (2) to associate neuroendocrine variables, with GD severity-related variables according to gambling preferences.

METHODS

The sample included 297 outpatients with GD. We analyzed endocrine concentrations of different appetite-related hormones (ghrelin, liver antimicrobial peptide 2 [LEAP-2], leptin, adiponectin), and neuropsychological performance (working memory, cognitive flexibility, inhibition, decision making, premorbid intelligence). Path analysis assessed mechanisms between neuroendocrine features and GD severity, including mediational GD variables (impulsivity traits and gambling-related cognitive distortions). Partial correlations evaluated the associations between neuroendocrine variables, including impulsivity traits, and variables related to GD severity (DSM-5, South Oaks Gambling Screen, illness duration, and gambling-related cognitive distortions).

RESULTS

Lower adiponectin concentrations predicted greater GD severity, while higher LEAP-2 concentrations predicted more gambling-related cognitive distortions. Likewise, better neuropsychological performance directly predicted GD severity, but worse neuropsychological performance was associated with GD severity through the mediational variables of impulsivity traits and gambling-related cognitive distortions. Also, in non-strategic individuals with GD, poor working memory was associated with gambling expectancies and predictive control. In strategic individuals with GD, poor cognitive flexibility was associated with illusion of control, predictive control, and inability to stop gambling.

CONCLUSIONS

These results provide updated information about the comprehension of the interaction between neuroendocrine features, clinical variables, and severity of GD. Thus, neurobiological functions seem to be strongly related to GD severity.

Prevalence and Clinical Characteristics of Recreational and At-Risk/Problematic Gambling in a National Sample of U.S. Military Veterans

Gambling among U.S. military veterans is common, with more extensive involvement linked to gambling disorder and associated problems. This study examined associations between recreational gambling (RG) and at-risk/problem gambling (ARPG), and clinical measures (psychiatric disorders, substance use), behaviors (suicidality, homelessness, arrests) and functioning in a nationally representative sample of U.S. military veterans. Data were analyzed from 4069 veterans who participated in the National Health and Resilience in Veterans Study. Chi-square tests, analyses of variance (ANOVAs) and logistic regressions were conducted to examine unadjusted and adjusted associations between gambling group status and lifetime and current psychiatric diagnoses and behavioral and functioning measures. A significant minority of U.S. veterans reported gambling, with 27.3% (95% confidence interval [CI] 25.5-29.1%) exhibiting RG and 4.9% (95% CI 4.0-5.9%) screening positive for ARPG. The prevalence of ARPG was higher among younger, non-White, male veterans, while RG was more prevalent among retired veterans and those with higher household incomes relative to non-gambling (NG) individuals. ARPG was associated with greater trauma burden, lifetime and current psychiatric diagnoses, mental health treatment, alcohol and drug use disorders, suicidal ideation, homelessness, arrests, and poorer functioning relative to NG and RG, with stronger magnitude differences relative to NG. RG was associated with substance use disorders and arrest histories relative to NG. Results of the current study provide an up-to-date estimate of the current prevalence of RG and ARPG among U.S. veterans and underscore the importance of routine screening and monitoring of gambling problems, as well as interventions for ARPG in this population.

Are Signals Regulating Energy Homeostasis Related to Neuropsychological and Clinical Features of Gambling Disorder? A Case-Control Study

Gambling disorder (GD) is a modestly prevalent and severe condition for which neurobiology is not yet fully understood. Although alterations in signals involved in energy homeostasis have been studied in substance use disorders, they have yet to be examined in detail in GD. The aims of the present study were to compare different endocrine and neuropsychological factors between individuals with GD and healthy controls (HC) and to explore endocrine interactions with neuropsychological and clinical variables. A case−control design was performed in 297 individuals with GD and 41 individuals without (healthy controls; HCs), assessed through a semi-structured clinical interview and a psychometric battery. For the evaluation of endocrine and anthropometric variables, 38 HCs were added to the 41 HCs initially evaluated. Individuals with GD presented higher fasting plasma ghrelin (p < 0.001) and lower LEAP2 and adiponectin concentrations (p < 0.001) than HCs, after adjusting for body mass index (BMI). The GD group reported higher cognitive impairment regarding cognitive flexibility and decision-making strategies, a worse psychological state, higher impulsivity levels, and a more dysfunctional personality profile. Despite failing to find significant associations between endocrine factors and either neuropsychological or clinical aspects in the GD group, some impaired cognitive dimensions (i.e., WAIS Vocabulary test and WCST Perseverative errors) and lower LEAP2 concentrations statistically predicted GD presence. The findings from the present study suggest that distinctive neuropsychological and endocrine dysfunctions may operate in individuals with GD and predict GD presence. Further exploration of endophenotypic vulnerability pathways in GD appear warranted, especially with respect to etiological and therapeutic potentials.

Item Response Theory Analyses of Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) Criteria Adapted to Screen Use Disorder: Exploratory Survey

Background

Screen use is part of daily life worldwide and morbidity related to excess use of screens has been reported. Some use of screens in excess could indicate a screen use disorder (ScUD). An integrative approach to ScUD could better fit the polymodal reality of screens, and concurrent problems with screens, than a split approach, activity by activity. In that paradigm, a pragmatic and operationalized approach to study a potential ScUD requires the use of common criteria, for all screens and activities done on screens, in a single questionnaire.

Objective

Our goals were (1) to describe screen uses in a general population sample and (2) to test the unidimensionality, local independence, and psychometric properties of the 9 Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) internet gaming disorder (IGD) criteria adapted to screen use in a community sample. We hypothesized that the 9 DSM-5 IGD criteria adapted to ScUD would show unidimensionality, local independence, and good discrimination, with criteria distributed on the severity continuum.

Methods

This cross-sectional survey in a French suburban city targeted adults and adolescents. A self-administered questionnaire covered the main types of screens used and their use for various activities in the past month. Presence of ScUD diagnostic criteria in past 12 months was also self-evaluated in the questionnaire. Factor and 2-parameter Item Response Theory analysis were used to investigate the dimensionality, local independence, and psychometric properties of the ScUD criteria.

Results

Among the 300 participants, 171 (57.0%) were female (mean age 27 years), 297 (99.0%) used screens, 134 (44.7%) reported at least one criterion (potential problem users), and 5 (1.7%) reported 5 or more criteria and endorsed an ScUD. The most endorsed criteria were loss of control (60/300, 20.0%) and preoccupation (52/300, 17.3%). Screen types used and screen activities differed between participants with no ScUD criteria and those with at least one ScUD criterion. The latter were more likely to have a computer as the most used screen type, and more video gaming, communication/social network, and watching news and research of information as activities. Unidimensionality was confirmed by all fit indices. Local independence was confirmed by the absence of residual correlation between the items. Criteria had relatively high factor loading, with loss of interest in other recreational activities having the highest. However, criteria with the lowest factor loading all remained above the cut-offs, sanctioning unidimensionality. Most discriminating criteria were loss of interests, preoccupation, deceive/cover up, and risk/lose relationship/opportunities, which also provided the most information on the measurement of the latent trait.

Conclusions

We described screen uses in a French community sample and have shown that the adaptation of the DSM-5 IGD to “ScUD” has good psychometric validity and is discriminating, confirming our hypothesis. We suggest to use those criteria to assess potential “ScUD.” Further studies should determine if all criteria are needed and whether others should be added.

Factors related to the dual condition of gambling and gaming disorders: A path analysis model

BACKGROUND AND AIMS

Gaming disorder has experienced rapid growth in the last decade among youth and adult populations, in parallel to the expansion of the videogame industry. The objective of this study was to explore the underlying process to explain the dual diagnosis of gaming with gambling disorder.

METHODS

The sample included n = 117 patients who met clinical criteria for gaming disorder, recruited from a tertiary care unit specialized in the treatment of behavioral addictions. Path analysis (implemented through structural equation modeling) assessed the direct and mediational mechanisms between the dual condition of gaming + gambling disorder and sociodemographic variables and personality traits.

RESULTS

The comorbid gaming + gambling disorder was met for 14.5% of the participants (additionally, 6.0% of the sample also met criteria for problematic gambling). The dual diagnosis was directly related to an older age at onset of the addiction problems, a higher level of the novelty seeking trait and being in active work. Employment status also mediated the relationship between persistence levels and chronological age. Greater psychopathological distress was related to females, higher levels of harm avoidance and persistence and lower levels of self-directedness.

CONCLUSIONS

The results of this study provide empirical evidence for the specific factors that increase the likelihood of the dual gaming + gambling disorder. Clinical settings should consider these features to improve gaming diagnosis and treatment. Preventive programs should also be focused on the most vulnerable groups to prevent onset and progression of this comorbid condition.

Physiological and Cognitive Functions Following a Discrete Session of Competitive Esports Gaming

Competitive organized electronic video gaming, termed “esports,” has become an international industry. The physiological and cognitive health results of prolonged esport practice and competition have not been adequately studied. The current study examined physiological and cognitive changes after a session of esport gameplay for two types of games, first-person shooter and multiplayer online battle arena games. Increases in systolic blood pressure, increases in speed, and decreases in accuracy and inhibitory processes were found for esport gamers overall. For peak heart rate change, first-person shooter games elicited a larger change than did multiplayer online battle arena games. These results have implications for the management of esport player cognitive and physical health as well as for the optimization of performance in competitive esport tournaments.