Related Experiment Video
Updated: Jul 3, 2026

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
Cutting the odds: Understanding non-suicidal self-injury patterns among people gambling online
Magda Losaberidze1, Róbert Urbán2, Yanisha Soborun3
1Doctoral School of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary; Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
Background And Aims:
Non-suicidal self-injury (NSSI) and gambling are considered notable public health challenges, each linked to emotion dysregulation, impulsivity, and heightened mental health risks. Although examined separately, their co-occurrence may reflect overlapping vulnerabilities. The present study examined the prevalence, correlates, and predictors of NSSI among ndividuals who gamble online and identified distinct behavioral subgroups using latent class analysis.
Methods:
A cross-sectional study was conducted among individuals with past-year online gambling (N = 1047; 50% males; mean age = 39.60 years [SD = 12.46]). Measures included psychometric scales assessing problem-gambling severity, NSSI, impulsivity, sleep difficulties, and psychological distress. Multinomial logistic regressions tested associations between gambling severity and NSSI, and latent class analysis (LCA) was conducted to identify NSSI subgroups. Hierarchical multinomial regressions assessed demographic, gambling-related, and psychological predictors of class membership.
Results:
Lifetime NSSI was reported by 64% of participants, with higher odds among those with scores reflecting problem gambling. LCA identified three subgroups: low/no self-harming (61.6%), moderate/occasional self-harming (23.2%), and high/multi-method self-harming (15.2%), reflecting stepwise increases in frequency and method diversity. NSSI class membership was significantly associated with problem-gambling severity (χ2[3] = 45.0, p < .001). Younger age, insomnia, impulsivity, and psychological distress predicted higher NSSI class membership, with insomnia and distress emerging as the strongest independent predictors.
Conclusion:
NSSI is a prevalent and clinically significant correlate of online gambling, emerging even at lower levels of problem-gambling severity, underscoring the importance of integrating emotion regulation and distress-focused support into interventions targeting problem gambling. The study's findings deepen the understanding of psychological pathways linking gambling and self-injury among adults.
Related Concept Videos
Self-Discrepancy Theory
Self-Presentation: Self-Monitoring and Self-Handicapping
Bullying
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Binge Eating Disorders
Protecting Self-Esteem

