Role Reversal: The Influence of Slot Machine Gambling on Subsequent Alcohol Consumption

The Influence of Gambling on Mood State and Alcohol Cravings

Several decades of research have experimentally investigated the influence of alcohol on gambling. However, there has been only minimal experimental exploration of how gambling influences alcohol use. The aim of the current project was to evaluate how gambling influenced mood state and alcohol cravings through randomized experimental design when analyzed with comparison conditions.College students (N = 76) who reported regular alcohol use, gambling within the past year, and being college basketball fans were randomly assigned to watch a video of an exciting basketball game, watch a nondysphoric basketball game, watch a movie, or engage in slot machine gambling. Participants who watched exciting sports or engaged in gambling to reported more energized mood states and higher urges to drink compared to those who watched nondysphoric sports or a movie. These results suggest that the context of gambling may prime individuals to want to consume alcohol.

Socio-Demographics, Gambling Participation, Gambling Settings, and Addictive Behaviors Associated with Gambling Modes: A Population-Based Study

Online and land-based gambling differ in terms of participation and harms. Multimode gambling has also been distinguished as a separate mode. The current study uses the Finnish Gambling 2019 population study sample of 18–74-year-old past-year gamblers (N = 3,077) to evaluate how these gambling modes differ in terms of socio-demographics, gambling participation, gambling settings, and addictive behaviors. We used land-based gambling as the reference group in a multinomial regression model. Male gender (OR 1.48), age between 18 and 54 (OR 1.88), and high income (OR 1.87) were associated with online gambling. The odds of online gambling were higher among those who gambled at least monthly (OR 1.34) and among those with the highest gambling spending (OR 3.62). Younger age (OR 2.31), high income (OR 1.51), gambling at least four game types (OR 2.96), spending the most money on gambling (OR 4.56), and gambling in at least three gambling settings were associated with multimode gambling. Socio-demographics and gambling participation were indicators of gambling modes. Online gambling was more intensive while multimode gambling was more frequent and versatile than land-based gambling. However, this was not reflected as increased addictive behaviors, probably due to the harmful nature of Finnish land-based gambling.

Mentalizing Failures, Emotional Dysregulation, and Cognitive Distortions Among Adolescent Problem Gamblers

Over the past decade, several studies have investigated the relationship between cognitive distortions and emotion regulation among adolescent gamblers, demonstrating the exacerbating role of alcohol consumption when co-occurring with gambling problems. An important construct, that to date has been largely neglected, is mentalizing (i.e. the ability to reflect on one's own and others' mental states). The aim of the present study was (for the first time) to investigate the relative contribution of mentalization, emotional dysregulation, cognitive distortions, and alcohol consumption among adolescent gamblers. A total of 396 students (69.2% females) aged 14–19 years were recruited from secondary schools in Southern Italy. Assessment measures included the South Oaks Gambling Screen Revised for Adolescents (SOGS-RA), the Reflective Functioning Questionnaire (RFQ-8), the Difficulties in Emotion Regulation Scale (DERS), the Gambling Related Cognitions Scale (GRCS), and the Alcohol Use Disorders Identification Test (AUDIT). Regression analysis showed that, along with male gender, the best predictors of adolescent gambling were scores on two GRCS subscales (i.e., ‘inability to stop gambling’ and ‘interpretative bias’), the RFQ-8’s ‘uncertainty about mental states’ dimension, and the DERS ‘impulse control difficulties’ factor, with the overall model explaining more than one-third of the total variance. The results clearly indicated that, along with gambling-related cognitive distortions, uncertainty about mental states, and difficulties remaining in control of one’s behavior when experiencing negative emotions contributed significantly to problematic gambling among adolescents.

Residents perceptions of the alcohol environment: A participatory photovoice project in two districts with different socio-economic status in a large city

The purpose of this study was to present the alcohol environment as perceived by its residents in two districts of Madrid using the Photovoice participatory methodology. Secondly, we compared the results according to the socio-economic status of the districts. The study was conducted in the city of Madrid, Spain, in two districts with different socio-economic status. A total of 26 people participated, who took and discussed photographs about their alcohol environment. They grouped them into 33 final categories, such as the socialising role of alcohol or the alcohol advertising. Co-authors further grouped participants final categories into seven general areas. The participants in the Photovoice project have helped to deepen the understanding of the alcohol urban environment. These results may help to design more effective policies to prevent hazardous alcohol consumption.

A direct and conceptual replication of post-loss speeding when gambling

To investigate the response to suboptimal outcomes, Verbuggen et al. (Verbruggen F, Chambers CD, Lawrence NS, McLaren IPL. 2017 Winning and losing: effects on impulsive action. J. Exp. Psychol.: Hum. Percept. Perform. 43, 147. (doi:10.1037/xhp0000284)) conducted a study in which participants chose between a gamble and a non-gamble option. The non-gamble option was a guaranteed amount of points, whereas the gamble option was associated with a higher amount but a lower probability of winning. The authors observed that participants initiated the next trial faster after a loss compared to wins or non-gambles. In the present study, we directly replicated these findings in the laboratory and online. We also designed another task controlling for the number of trials per outcome. In this task, participants guessed where a reward was hidden. They won points if they selected the correct location, but lost points if they selected the incorrect location. We included neutral trials as a baseline. Again, participants sped up after a loss relative to wins and neutral trials (but only with a response choice in neutral trials and a large sample size). These findings appear inconsistent with cognitive-control frameworks, which assume that suboptimal outcomes typically lead to slower responses; instead, they suggest that suboptimal outcomes can invigorate behaviour, consistent with accounts of frustrative non-reward and impulsive action.