CoChat
Sign Up
Cited by 74Gambling Behavior and TreatmentsSubstance Abuse Treatment and OutcomesImpact of Technology on Adolescents

The DOI matches its Crossref record; 53 of the 54 references it cites were found in a registry or an index.

Disordered gambling among higher-frequency gamblers: who is at risk?

Hodgins, D. C., Schopflocher, D. P., Martin, C. R., el-Guebaly, N., Casey, D. M., Currie, S. R., Smith, G. J., Williams, R. J.·2012·Psychological Medicine
DOI 10.1017/s0033291712000724
Open this paper in CoChat — free account

Abstract

BACKGROUND: When gambling opportunities are made available to the public in a given jurisdiction, some individuals participate occasionally and others more frequently. Among frequent gamblers, some individuals develop problematic involvement and some do not. This study addresses the association among demographic and social risk factors, frequency of gambling and gambling disorders. METHOD: Data from an adult community sample (n=1372) were used to identify risk factors for higher-frequency gambling and disordered gambling involvement. RESULTS: Individuals with higher intelligence, older individuals and more religious individuals were less frequent gamblers. Males, single individuals and those exposed to gambling environments (friends and family who gamble) and those who started to gamble at a younger age were more frequent gamblers. Excitement-seeking personality traits were also higher among more frequent gamblers. A different set of risk factors was associated with the likelihood of gambling disorder among these higher-frequency gamblers. These variables included mental health indicators, childhood maltreatment and parental gambling involvement. Among higher-frequency gamblers, individuals who smoke cigarettes, those with a diagnosis of alcohol or drug dependence or obsessive-compulsive disorder, those with higher anxiety or depression and those with higher impulsivity and antisocial personality traits were more likely to report gambling-related problems. These individuals were also more likely to report gambling on electronic gambling machines (e.g. slot machines). CONCLUSIONS: These data suggest a model in which higher-frequency gambling, particularly with electronic gambling machines, when combined with any type of emotional vulnerability increased the likelihood of gambling disorder.

Overview

Integrity signals

Registry

Crossref · 10.1017/s0033291712000724

Cites

53 of 53 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

1 of the 54 references couldn’t be matched to a known paper.

Research works printed but not linked: 13

  1. 2002, Canadian Community Health Survey (CCHS), Cycle 1.2: Mental Health and Well-Being
  2. Bernstein, 1998, Childhood Trauma Questionnaire (CTQ): A Retrospective Self-Report
  3. 1999, Wechsler Abbreviated Scale of Intelligence Manual
  4. Morey, 1991, The Personality Assessment Inventory: Professional Manual
  5. 1997, The Composite International Diagnostic Interview, Version 2.1
  6. Gerstein, 1999, Gambling Impact and Behaviour Study: Report to the National Gambling Impact Study Commission
  7. Weiss, 1998, What explains the negative consequences of adverse childhood experiences on adult health? Insights from cognitive and neuroscience research, American Journal of Preventive Medicine, 14, 356
  8. Abbott, 1999, Seven Years On: A Follow-up Study of Frequent and Problem Gamblers Living in the Community
  9. Ferris, 2001, The Canadian Problem Gambling Index: Final Report
  10. Abbott, 2000, Taking the Pulse on Gambling and Problem Gambling in the Community: Phase One of the 1999 National Prevalence Study
  11. 1999, Australia's Gambing Industries
  12. Abbott, 1999, Gambling and Problem Gambling in the Community: An International Overview and Critique
  13. Toneatto, 2007, Research and Measurement Issues in Gambling Studies, 279

Cited by

Sorted by citations

Related

Metadata

Authors
Hodgins, D. C., Schopflocher, D. P., Martin, C. R., el-Guebaly, N., Casey, D. M., Currie, S. R., Smith, G. J., & Williams, R. J.
Affiliations
  • University of Calgary (CA)
  • University of Alberta (CA)
  • University of Lethbridge (CA)
Corresponding author
Hodgins, D. C.
ORCID
Venue
Psychological Medicine
Publisher
Cambridge University Press (CUP)
Published
2012-04-13
Volume
42
Issue
11
Pages
2433-2444
ISSN
  • 0033-2917 (ISSN-L)
  • 1469-8978
DOI
10.1017/s0033291712000724
OpenAlex
W2134621325
Cited by
72
References
54
Citations by year
2025: 2 · 2024: 2 · 2023: 4 · 2022: 6 · 2021: 10 · 2020: 6 · 2019: 3 · 2018: 9 · 2017: 5 · 2016: 6 · 2015: 8 · 2014: 7 · 2013: 4
FWCI
6.89
Type
journal article
Language
en
Open access
closed
Licence
www.cambridge.org/core/terms (unspecified)
Locations
  • Psychological Medicine (publishedVersion)
  • PubMed (publishedVersion)
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 › Impact of Technology on Adolescents
Keywords
gambling addiction, gambling frequency, risk factors, demographic factors, social risk factors, child abuse, parental gambling, personality traits, impulsivity, antisocial personality, mental health, electronic gaming machines, slot machines, smoking, alcoholism, drug addiction, obsessive-compulsive disorder, anxiety, depression
MeSH terms
Adult, Alberta, Female, Gambling, Humans, Male, Middle Aged, Risk Factors, Sex Factors, Comorbidity

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review