Characteristics and prediction of risky gambling behaviour study: A study protocol

Research output: Contribution to journalResearch articleContributedpeer-review



Objective: This study protocol describes the RIGAB study, a prospective case-control-study assessing online sports betting behaviour and underlying risk factors for the development of gambling disorder (GD). It has two aims: (1) to characterise sports bettors concerning putative risk factors and their gambling behaviour, and (2) to predict the development of GD from these factors. Methods: At baseline, online sports bettors took part in an online survey comprising a GD screening (DSM-5), questions on gambling behaviour and on the putative risk factors emotion regulation, impulsivity, comorbidities, stress, and substance use. Participants were reinvited for a 1-year follow-up online survey. In a nested design, a subsample was invited in-person to take part in a cognitive-behavioural task battery and a clinical interview. Results: Of the initial 6568 online sports bettors invited, 607 participated at baseline (rate: 9.2%), 325 took part in the 1-year follow-up and 54 participated in the nested in-person assessment. Conclusion: The RIGAB study combines different fields of GD studies: player tracking data and putative risk factors from self-report and behavioural tasks. The results of this study will support the development of preventive measures for participants of online gambling based on the combined findings from previously rather distinct research fields.


Original languageEnglish
Article numbere1995
Number of pages13
JournalInternational journal of methods in psychiatric research
Publication statusE-pub ahead of print - 4 Nov 2023

External IDs

Scopus 85176095160
Mendeley 585075dd-8c64-3f19-a895-b7c41e032e03
WOS 001094976900001
PubMed 37924509


Research priority areas of TU Dresden

DFG Classification of Subject Areas according to Review Boards

Subject groups, research areas, subject areas according to Destatis

Sustainable Development Goals

ASJC Scopus subject areas


  • aggregated player tracking data, gambling disorder, longitudinal design, risk factors