Evidence map›Paper›PMID 31676469›Full record

ArticleProgress in neuro-psychopharmacology & biological psychiatry2020

Longitudinal subtypes of disordered gambling in young adults identified using mixed modeling.

Samuel R Chamberlain, Jan Stochl, Jon E Grant

Open access · hybridAbstract read
In one paragraph

Article in Progress in neuro-psychopharmacology & biological psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

3 authors at 2 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; Department of Kinanthropology, Charles University in Prague, Czechia; Cambridge and Peterborough NHS Foundation Trust, UK. Electronic address: js883@cam.ac.uk.
Jon E GrantDepartment of Psychiatry & Behavioral Neuroscience, University of Chicago, United States of America. Electronic address: jongrant@uchicago.edu.
Cambridgeshire and Peterborough NHS Foundation Trust · GBUniversity of Chicago · US

Funding

Department of HealthWellcome TrustWellcome Trust 110,049/Z/15/Z
6 · The paper itself

Abstract

objectiveWhile many individuals gamble responsibly, some develop maladaptive symptoms of a gambling disorder. Gambling problems often first occur in young people, yet little is known about the longitudinal course of such symptoms and whether this course can be predicted. The aim of this study was to identify latent subtypes of disordered gambling based on symptom presentation and identify predictors of persisting gambling symptoms over time.

methods575 non-treatment seeking young adults (mean age [SD] = 22.3 [3.6] years; 376 (65.4%) male) were assessed at baseline and annually, over three years, using measures of gambling severity. Latent subtypes of gambling symptoms were identified using latent mixture modeling. Baseline differences were characterized using analysis of variance and binary logistic regression respectively.

resultsThree longitudinal phenotypes of disordered gambling were identified: high harm group (N = 5.6%) who had moderate-severe gambling disorder at baseline and remained symptomatic at follow-up; intermediate harm group (19.5%) who had problem gambling reducing over time; and low harm group (75.0%) who were essentially asymptomatic. Compared to the low harm group, the other two groups had worse baseline quality of life, elevated occurrence of other mental disorders and substance use, higher body mass indices, and higher impulsivity, compulsivity, and cognitive deficits. Approximately 5% of the total sample showed worsening of gambling symptoms over time, and this rate did not differ significantly between the groups.

conclusionsThree subtypes of disordered gambling were found, based on longitudinal symptom data. Even the intermediate gambling group had a profundity of psychopathological and untoward physical health associations. Our data indicate the need for large-scale international collaborations to identify predictors of clinical worsening in people who gamble, across the full range of baseline symptom severity from minimal to full endorsement of current diagnostic criteria for gambling disorder.

Indexed as

Models, PsychologicalDisease ProgressionFemaleFollow-Up StudiesGamblingHumansMalePhenotypeYoung AdultAddictionCognitionGamblingImpulsivityLatentSubtypes

Identifiers

PMID31676469
PMCPMC6837885
OpenAlexW2985676231

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.