Predictors of Problem Gambling in the U.S
Abstract
In this article we examine data from a national U.S. adult survey of gambling to determine correlates of problem gambling and discuss them in light of theories of the etiology of problem gambling. These include theories that focus on personality traits, irrational beliefs, anti-social tendencies, neighborhood influences and availability of gambling. Results show that males, persons in the 31-40 age range, blacks, and the least educated had the highest average problem gambling symptoms. Adults who lived in disadvantaged neighborhoods also had the most problem gambling symptoms. Those who attended religious services most often had the fewest problem gambling symptoms, regardless of religious denomination. Respondents who reported that it was most convenient for them to gamble had the highest average problem gambling symptoms, compared to those for whom gambling was less convenient. Likewise, adults with the personality traits of impulsiveness and depression had more problem gambling symptoms than those less impulsive or depressed. Respondents who had friends who approve of gambling had more problem gambling symptoms than those whose friends did not approve of gambling. The results for the demographic variables as well as for impulsiveness and religious attendance are consistent with an anti-social/impulsivist pathway to problem gambling. The results for depression are consistent with an emotionally vulnerable pathway to problem gambling.
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Increased risk for gambling addiction among AIAN might be due to other inequities faced by AIAN that are also risk factors for problematic gambling.
“The increased risk for gambling addiction among AIAN might be due to other inequities faced by AIAN that are also risk factors for problematic gambling.”
From Substance and Behavioral Addictions among American Indian and Alaska Native Populations (2022) · cites this paper as [91]
Low education, unemployment, few socioeconomic opportunities, untreated historical trauma, higher rates of substance use, and having a casino nearby that serves as the main employer and source of revenue for the community are inequities/risk factors for problematic gambling among AIAN.
“These inequities and risk factors include low education, unemployment, few socioeconomic opportunities, untreated historical trauma, higher rates of substance use, and having a casino nearby that serves as the main employer and source of revenue for the community [88,89,90,91].”
From Substance and Behavioral Addictions among American Indian and Alaska Native Populations (2022) · cites this paper as [91]
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References 55 · Cited by 82
- Authors
- Welte, J. W., Barnes, G. M., Tidwell, M.-C. O., & Wieczorek, W. F.
- Affiliations
- University at Buffalo, State University of New York (US)
- Buffalo State University (US)
- Corresponding author
- Welte, John W.
- ORCID
- Barnes, Grace M.
- Venue
- Journal of Gambling Studies
- Published
- 2016-08-24
- Volume
- 33
- Issue
- 2
- Pages
- 327-342
- ISSN
- 1050-5350 (ISSN-L)
- 1573-3602
- OpenAlex
- W2508846503
- Cited by
- 82
- References
- 55
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 6 · 2023: 14 · 2022: 8 · 2021: 18 · 2020: 10 · 2019: 8 · 2018: 4 · 2017: 2
- FWCI
- 6.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Gambling Studies (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (AA018097)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
- Keywords
- problem gambling, impulsivity, depression, religious service attendance, neighborhood disadvantage, personality traits, irrational beliefs, demographic predictors
- MeSH terms
- Adolescent, Adult, Age Factors, Ethnicity, Female, Gambling, Health Surveys, Humans, Impulsive Behavior, Male, Middle Aged, Risk-Taking, Self Concept, Sex Factors, United States, Prevalence
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