Evidence map›Paper›PMID 28028687›Full record

ArticleJournal of gambling studies2017

Internet Gamblers Differ on Social Variables: A Latent Class Analysis.

Yasser Khazaal, Anne Chatton, Sophia Achab, Gregoire Monney, Gabriel Thorens, Magali Dufour, Daniele Zullino, Stephane Rothen

Abstract read
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In one paragraph

Article in Journal of gambling studies, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Perspective of Internet Poker Players on Harm-Reduction Strategies: A Cross-Sectional Study.International journal of environmental research and public health · 2020
    Article
  15. A Literature Review and Gap Analysis of Emerging Technologies and New Trends in Gambling.International journal of environmental research and public health · 2020
    Review
  16. Article
  17. Article
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  20. Factor structure of the Cybersex Motives Questionnaire.Journal of behavioral addictions · 2018
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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

8 authors.

Yasser KhazaalGeneva University Hospitals, Grand Pré 70C, Geneva, 1206, Switzerland. yasser.khazaal@hcuge.ch.ORCID http://orcid.org/0000-0002-8549-6599
Anne ChattonGeneva University Hospitals, Grand Pré 70C, Geneva, 1206, Switzerland.
Sophia AchabGeneva University Hospitals, Grand Pré 70C, Geneva, 1206, Switzerland.
Gregoire MonneyGeneva University Hospitals, Grand Pré 70C, Geneva, 1206, Switzerland.
Gabriel ThorensGeneva University Hospitals, Grand Pré 70C, Geneva, 1206, Switzerland.
Magali DufourSherbrooke University, Montreal, QC, Canada.
Daniele ZullinoGeneva University Hospitals, Grand Pré 70C, Geneva, 1206, Switzerland.
Stephane RothenGeneva University Hospitals, Grand Pré 70C, Geneva, 1206, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Online gambling has gained popularity in the last decade, leading to an important shift in how consumers engage in gambling and in the factors related to problem gambling and prevention. Indebtedness and loneliness have previously been associated with problem gambling. The current study aimed to characterize online gamblers in relation to indebtedness, loneliness, and several in-game social behaviors. The data set was obtained from 584 Internet gamblers recruited online through gambling websites and forums. Of these gamblers, 372 participants completed all study assessments and were included in the analyses. Questionnaires included those on sociodemographics and social variables (indebtedness, loneliness, in-game social behaviors), as well as the Gambling Motives Questionnaire, Gambling Related Cognitions Scale, Internet Addiction Test, Problem Gambling Severity Index, Short Depression-Happiness Scale, and UPPS-P Impulsive Behavior Scale. Social variables were explored with a latent class model. The clusters obtained were compared for psychological measures and three clusters were found: lonely indebted gamblers (cluster 1: 6.5%), not lonely not indebted gamblers (cluster 2: 75.4%), and not lonely indebted gamblers (cluster 3: 18%). Participants in clusters 1 and 3 (particularly in cluster 1) were at higher risk of problem gambling than were those in cluster 2. The three groups differed on most assessed variables, including the Problem Gambling Severity Index, the Short Depression-Happiness Scale, and the UPPS-P subscales (except the sensation seeking subscore). Results highlight significant between-group differences, suggesting that Internet gamblers are not a homogeneous group. Specific intervention strategies could be implemented for groups at risk.

Indexed as

Social BehaviorAdultBehavior, AddictiveCognitionFemaleGamblingHumansInternetLonelinessMaleMiddle AgedMotivationSocioeconomic FactorsSurveys and QuestionnairesDebtDepressionImpulsivityInternet gamblingLatent class analysisLonelinessPoker

Identifiers

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Textmetadata
Read underepoch 390

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.