Evidence map›Paper›PMID 28384607›Full record

ArticleAddictive behaviors2017

Latent class analysis of gambling subtypes and impulsive/compulsive associations: Time to rethink diagnostic boundaries for gambling disorder?

Samuel R Chamberlain, Jan Stochl, Sarah A Redden, Brian L Odlaug, Jon E Grant

Open access · hybridAbstract read
In one paragraph

Article in Addictive behaviors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
12.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 86 citations in OpenAlex.

  1. COVID-19 and resultant restrictions on gambling behaviour.Neuroscience and biobehavioral reviews · 2022
    Pooled it
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  6. Definition of Substance and Non-substance Addiction.Advances in experimental medicine and biology · 2025
    Review
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  20. Longitudinal subtypes of disordered gambling in young adults identified using mixed modeling.Progress in neuro-psychopharmacology & biological psychiatry · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 3 countries.

Samuel R ChamberlainDepartment of Psychiatry, University of Cambridge, UK; Cambridge and Peterborough NHS Foundation Trust, UK.
Jan StochlDepartment of Psychiatry, University of Cambridge, UK; Cambridge and Peterborough NHS Foundation Trust, UK.
Sarah A ReddenDepartment of Psychiatry & Behavioral Neuroscience, University of Chicago, United States.
Brian L OdlaugDepartment of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Jon E GrantDepartment of Psychiatry & Behavioral Neuroscience, University of Chicago, United States. Electronic address: jongrant@uchicago.edu.
University of Chicago · USCambridgeshire and Peterborough NHS Foundation Trust · GBUniversity of Cambridge · GBUniversity of Copenhagen · DK

Funding

Wellcome TrustWellcome Trust 110049/Z/15/Z
6 · The paper itself

Abstract

backgroundGambling disorder has been associated with cognitive dysfunction and impaired quality of life. The current definition of non-pathological, problem, and pathological types of gambling is based on total symptom scores, which may overlook nuanced underlying presentations of gambling symptoms. The aims of the current study were (i) to identify subtypes of gambling in young adults, using latent class analysis, based on individual responses from the Structured Clinical Interview for Gambling Disorder (SCI-GD); and (ii) to explore relationships between these gambling subtypes, and clinical/cognitive measures.

methodsTotal 582 non-treatment seeking young adults were recruited from two US cities, on the basis of gambling five or more times per year. Participants undertook clinical and neurocognitive assessment, including stop-signal, decision-making, and set-shifting tasks. Data from individual items of the Structured Clinical Interview for Gambling Disorder (SCI-GD) were entered into latent class analysis. Optimal number of classes representing gambling subtypes was identified using Bayesian Information Criterion and differences between them were explored using multivariate analysis of variance.

resultsThree subtypes of gambling were identified, termed recreational gamblers (60.2% of the sample; reference group), problem gamblers (29.2%), and pathological gamblers (10.5%). Common quality of life impairment, elevated Barratt Impulsivity scores, occurrence of mainstream mental disorders, having a first degree relative with an addiction, and impaired decision-making were evident in both problem and pathological gambling groups. The diagnostic item 'chasing losses' most discriminated recreational from problem gamblers, while endorsement of 'social, financial, or occupational losses due to gambling' most discriminated pathological gambling from both other groups. Significantly higher rates of impulse control disorders occurred in the pathological group, versus the problem group, who in turn showed significantly higher rates than the reference group. The pathological group also had higher set-shifting errors and nicotine consumption.

conclusionsEven problem gamblers who had a relatively low total SCI-PG scores (mean endorsement of two items) exhibited impaired quality of life, objective cognitive impairment on decision-making, and occurrence of other mental disorders that did not differ significantly from those seen in the pathological gamblers. Furthermore, problem/pathological gambling was associated with other impulse control disorders, but not increased alcohol use. Groups differed on quality of life when classified using the data-driven approach, but not when classified using DSM cut-offs. Thus, the current DSM-5 approach will fail to discriminate a significant fraction of patients with biologically plausible, functionally impairing illness, and may not be ideal in terms of diagnostic classification. Cognitive distortions related to 'chasing losses' represent a particularly important candidate treatment target for early intervention.

Indexed as

AdolescentAdultAnalysis of VarianceCognitionCompulsive BehaviorDiagnosis, DifferentialDisruptive, Impulse Control, and Conduct DisordersFemaleGamblingHumansImpulsive BehaviorMalePsychiatric Status Rating ScalesQuality of LifeYoung AdultAddictionCognitionGamblingImpulsivityLatentSubtypes

Identifiers

PMID28384607
PMCPMC5457805
OpenAlexW2601415704

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.