Gambling behavior is not a unique behavior. There are certain differences in behavior, gambling habits, gambling beliefs, and their reflection in psychosocial life. We have compared three groups of adult male gamblers—sports gamblers (n = 41), machine gamblers (n = 36), and poker gamblers (n = 35)—in regard to measures of personal status and legal-social characteristics. We found no difference between groups in terms of the length of gambling behavior, personal status, or age. We found no legal difference between groups in terms of the number of court cases for debt, stealing, or family court cases. In terms of economic circumstances, sports gamblers suffered more losses than the other groups (p < 0.0001). There were higher rates of bankruptcy among sports gamblers compared with machine gamblers (p < 0.01). Sports gamblers were more likely to borrow money from the black market compared with the other groups (p < 0.01). In terms of mental health, sports and machine gamblers had more suicidal thoughts and gestures than poker gamblers (p < 0.05), whereas the rate of suicide attempts was higher in machine gamblers compared with poker players (p < 0.05). Our results indicated higher vulnerability in sports gamblers in terms of economic problems compared with the other groups, whereas machine gamblers had vulnerability to suicidal thoughts and suicidal attempts compared with poker gamblers.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10899-014-9462-5DOI Listing

Publication Analysis

Top Keywords

machine gamblers
20
sports gamblers
16
gamblers
14
poker gamblers
12
adult male
8
gambling behavior
8
personal status
8
difference groups
8
groups terms
8
court cases
8

Similar Publications

Objective digital measurement of gamblers visiting gambling venues is conducted using cashless cards and facial recognition systems, but these methods are confined within a single gambling venue. Hence, we propose an objective digital measurement method using a transformer, a state-of-the-art machine learning approach, to detect total gambling venue visitations for gamblers who visit multiple gambling venues using sounds in gamblers' environments. We sampled gambling and nongambling event datasets from websites to create a gambling play classifier.

View Article and Find Full Text PDF

Risk Factors of At-Risk/Problem Gambling Among Young Adult Spanish Students.

J Prev (2022)

November 2024

Addictive Behaviors Research Group (GCA), Department of Psychology, Faculty of Psychology, University of Oviedo, Plaza Feijoo S/N, 33003, Oviedo, Spain.

Article Synopsis
  • The gambling industry in Spain has grown significantly, raising concerns about problem gambling among young adults, a vulnerable demographic during their emerging adulthood.
  • A study with 2,762 young adults revealed that 3.51% were low risk, 2.14% were moderate risk, and 0.51% were classified as problem gamblers, with early gambling initiation and specific gambling activities being key predictors of risk.
  • The findings highlight the need for public health initiatives and regulations to delay the age of first gambling and manage online gambling access to mitigate problematic behaviors.
View Article and Find Full Text PDF

Objective: This study aims to identify risk factors associated with gambling engagement and the likelihood of problem behavior, distinguishing by type of gambling activity and examining the impact of online gambling.

Methods: Data about 85,420 students aged 16 from 33 countries participating in the 2019 European School Survey Project on Alcohol and Other Drugs (ESPAD) were analyzed through a three-stage sequential probit model, specifically focusing on four types of activity: lotteries, slot machines, cards, and betting. Furthermore, predicted probabilities were calculated for subsamples of students engaging in different types of gambling activities to explore their influence on the likelihood of problem gambling behavior, conditioned on online gambling involvement.

View Article and Find Full Text PDF
Article Synopsis
  • Effective gambling messages should focus on reducing time and money spent on gambling to minimize related harm, but research on their effectiveness is limited, especially concerning sports and race betting.
  • In a study involving 2,074 participants, two types of messages were tested (positive-emotional and norm-based) against a generic control message, but no significant differences were found in gambling behaviors or reported harms.
  • Despite the lack of differences between message types, participants showed a general decrease in gambling activities over five weeks, suggesting the study prompted self-reflection on gambling rather than the messages themselves.
View Article and Find Full Text PDF

Lifetime gambling activities and behaviors are considered as potentially addictive behaviors that may impact a student's performance. According to a survey conducted in Tanzanian's higher training institutions, for example, 37.2% of sports gamblers were students.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!