The DOI matches its Crossref record.
Sex differences in subclinical and DSM-IV pathological gambling: results from the National Epidemiologic Survey on Alcohol and Related Conditions
Abstract
Background. To examine sex differences in DSM-IV subclinical and pathological gambling in nationally representative data of the US population. Method. Data come from a large (n=43093) representative sample of the adult US population. Results. The lifetime prevalence rate of DSM-IV pathological gambling was 0·64% (95% CI 0·50–0·78) for men and 0·23% (95% CI 0·17–0·29) for women, whereas the lifetime prevalence of subclinical pathological gambling was 6·79% (95% CI 6·32–7·26) for men and 3·26% (95% CI 2·93–3·59) for women. For subclinical pathological gambling, men were significantly (p<0·01) more likely than women to have smoked more than two packs of cigarettes a day, to be classified as heavy drinkers and to have lifetime diagnoses of alcohol and drug use disorders. Women with subclinical and pathological gambling were significantly more likely than men to have lifetime mood and anxiety disorders. With respect to pathological gambling, women had later ages of onset of the disorder, and were significantly more likely than men to report gambling to relieve depressed mood and to prefer casino gambling. Rates of treatment-seeking for DSM-IV pathological gambling were low for both men and women. Conclusions. There are important sex differences in the prevalence, symptom pattern, sociodemographic and clinical correlates and course of DSM-IV subclinical and pathological gambling. Results underscore the need to investigate sex differences in the social determinants, neurobiology and treatment response of DSM-IV subclinical and pathological gambling.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Additionally, the lifetime prevalence of anxiety disorders in females with clinical gambling involvement (61.93%) is much greater than that observed for women in the general population (30%) (Blanco, Hasin, Petry, Stinson, & Grant, 2006; J. E. Grant et al., 2006; Kessler et al., 2005).”
From Cued for Risk: Evidence for an Incentive Sensitization Framework to Explain the Interplay between Stress and Anxiety, Substance Abuse, and Reward Uncertainty in Disordered Gambling Behavior (2019) · cites this paper as Blanco, Hasin, Petry, Stinson, & Grant, 2006
Citations
Cited by
Sorted by citations
DSM-5 criteria for substance use disorders: recommendations and rationale
Hasin, D. S., O’Brien, C. P., Auriacombe, M., Borges, G., Bucholz, K., Budney, A., Compton, W. M., Crowley, T., Ling, W., Petry, N. M., et al. (2013) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2013.12060782 · Cited by 1,622
“A further reduction in the threshold was considered, but this greatly increased prevalence (189, 197) without evidence for diagnostic improvement.”
BackgroundSelf-citationAn international consensus for assessing internet gaming disorder using the new DSM ‐5 approach
Petry, N. M., Rehbein, F., Gentile, D. A., Lemmens, J. S., Rumpf, H., Mößle, T., Bischof, G., Tao, R., Fung, D. S. S., Borges, G., et al. (2014) · Addiction · doi:10.1111/add.12457 · Cited by 919
“Although gambling and some substances do not induce physiological dependence, withdrawal symptoms can also be present in people with these disorders [43], and individuals with gaming problems report them as well [13,14].”
BackgroundSelf-citationRehbein, F., Kliem, S., Baier, D., Mößle, T., & Petry, N. M. (2015) · Addiction · doi:10.1111/add.12849 · Cited by 567
“Similarly, in the diagnosis of gambling disorder, a criterion representing risking or losing relationships or educational/career opportunities represents a severe symptom [32,33].”
BackgroundSelf-citationSex differences, gender and addiction
Becker, J. B., McClellan, M. L., & Reed, B. G. (2016) · Journal of Neuroscience Research · doi:10.1002/jnr.23963 · Cited by 570
“This article will not only discuss the topic of gender and sex differences in drug addiction (our field of study), it will also discuss similar gender and sex differences in compulsive behaviors, including gambling (Potenza et al., 2001; Blanco et al., 2006).”
BackgroundHasin, D. S., & Grant, B. F. (2015) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-015-1088-0 · Cited by 452
Self-citation
Metadata
- Authors
- BLANCO, C., HASIN, D. S., PETRY, N., STINSON, F. S., & GRANT, B. F.
- Affiliations
- New York State Psychiatric Institute (US)
- UConn Health (US)
- National Institutes of Health (US)
- Venue
- Psychological Medicine
- Publisher
- Cambridge University Press (CUP)
- Published
- 2006-05-02
- Volume
- 36
- Issue
- 7
- Pages
- 943-953
- ISSN
- 0033-2917 (ISSN-L)
- 1469-8978
- OpenAlex
- W1992338801
- Cited by
- 297
- References
- 0
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 7 · 2023: 20 · 2022: 13 · 2021: 12 · 2020: 12 · 2019: 22 · 2018: 14 · 2017: 15 · 2016: 15 · 2015: 26 · 2014: 25 · 2013: 25 · 2012: 19
- FWCI
- 10.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Alliance for Research on Schizophrenia and Depression
- National Institutes of Health (5p50aa003510-27)
- National Institute on Alcohol Abuse and Alcoholism (K05AA014223, P50- AA03510)
- National Institute of Mental Health (R01MH060417, R01 MH60417)
- National Institute on Drug Abuse (R01DA014618, R03-5R03DA15559, K23-DA00482, R01-DA14618, R01-DA13444, P50DA009241, R01DA016855, K23DA000482, P50-DA-0-9241, R01DA013444, R03DA015559)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Psychology › Clinical Psychology › Obsessive-Compulsive Spectrum Disorders
- Keywords
- gambling addiction, sex differences, prevalence, DSM-IV diagnostic criteria, mood disorders, anxiety disorders, alcoholism, drug use disorders, heavy drinking, cigarette smoking, age of onset, treatment seeking, casino gambling, NESARC
- MeSH terms
- Adolescent, Adult, Aged, Alcoholism, Demography, Female, Gambling, Humans, Disruptive, Impulse Control, and Conduct Disorders, Interviews as Topic, Male, Middle Aged, National Institutes of Health (U.S.), Sex Characteristics, Tobacco Use Disorder, United States, Prevalence
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