Evidence map›Paper›PMID 39093336›Full record

ArticleJournal of gambling studies2025

Systematic Assessment of Gambling Type Involvement: Reliability and Validity of the Gambling Disorder Identification Test (GDIT).

Håkan Wall, Peter Wennberg, Per Binde, Olof Molander

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of gambling studies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

4 authors.

Håkan WallDepartment of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Norra Stationsgatan 69, Plan 7, Solna, Stockholm, 113 64, Sweden.ORCID http://orcid.org/0000-0002-7028-3355
Peter WennbergDepartment of Public Health Sciences, Stockholm University, Stockholm, Sweden.
Per BindeDepartment of Public Health Sciences, Stockholm University, Stockholm, Sweden.
Olof MolanderDepartment of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Norra Stationsgatan 69, Plan 7, Solna, Stockholm, 113 64, Sweden. olof.molander@ki.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gambling type involvement, both in terms of participation (engagement in specific gambling types) and diversity (how many gambling types an individual engages in), is a key feature to address in gambling self-report measures, but such systematic measurement procedures are scarce. The aim of this study was to test the psychometric performance of the gambling type assessment in the recently developed Gambling Disorder Identification Test (GDIT), in terms of test-retest reliability, convergent validity, and patterns of gambling diversity, among help-seeking and general population gambling samples (total n = 603). Overall, online gambling was more commonly reported as problematic than land-based gambling. Retest reliability varied for specific gambling types (ICC range 0.32-0.64, r

Indexed as

Behavior, AddictiveGamblingAdultFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and QuestionnairesAssessmentGambling type involvementProblem gamblingPsychometricThe gambling disorder identification test

Identifiers

PMID39093336
PMCPMC11861517

What OpenQuestion holds

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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.