ArticleJournal of gambling studies2025
Cryptocurrency Trading, Day Trading, and Gambling Behavior: Examining the Moderating Effects of Financially Focused Self-Concept and Gambling Motives.
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 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Cryptocurrency Trading in Emerging Adulthood: An Adaptation of the Gambling Epidemiological Model.Journal of gambling studies · 2026Article
- Impulsivity, Cognitive Distortions, and Problem Gambling Among Spanish Adults Who Gamble: Exploring the Moderating Role of Gambling Self-Efficacy.European journal of investigation in health, psychology and education · 2026Article
- Problematic Cryptocurrency Trading Among Traders in Türkiye: A Cross-Sectional Study of Prevalence and Associations with Anxiety, Depression, and Problem Gambling.Journal of gambling studies · 2026Article
- An assessment of cryptocurrencies as a global commercial determinant of health.Health promotion international · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Cryptocurrency and day trading have grown in popularity over the past decade following the creation of the first cryptocurrency, Bitcoin, in 2009. These activities share important features with gambling, including risking money on an uncertain outcome, a chance of monetary rewards, and the potential to experience harm (e.g., financial or relationship problems). However, little is known about cryptocurrency and day trading engagement in the adult population, including associations with gambling behavior, harm, and psychological factors that might moderate these relationships. We analyzed cross-sectional data for n = 822 adults from an online panel in the U.S. to examine: (1) the extent to which cryptocurrency trading, day trading, and gambling are associated, (2) relationships between cryptocurrency trading, day trading, and higher risk gambling behavior, and (3) whether financially focused self-concept and four types of gambling motives moderate these relationships. We found moderate to strong positive intercorrelations between cryptocurrency and day trading, and gambling behavior, including engagement and risk. We identified significant moderating effects of financially focused self-concept, and coping motives for gambling, on the relationship between cryptocurrency trading and gambling frequency, and between day trading and gambling frequency. For the models predicting higher risk gambling status, the only significant moderators were financially focused self-concept for the day trading model, and the enhancement motive for the cryptocurrency and day trading models. Our results have important implications for understanding interrelationships between gambling-adjacent activities and more traditional gambling forms, as well as the moderating roles of key psychosocial concepts in these relationships.
Indexed as
Identifiers
39153016What OpenQuestion holds
Registered trials
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.