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Gambling motivations and cognitive distortions amongst people who trade cryptocurrency

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View Abstract View Snapshot Back to Search Results

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Author(s): Xu, Tiange ; Grubbs, Joshua B. ; Kraus, Shane W.

Journal: Public Health

Year Published: 2025

Date Added: July 21, 2025

The cryptocurrency market has been expanding rapidly. Cryptocurrency trading, however, has raised concerns among researchers. The trading of cryptocurrencies shares features with traditional gambling. Recent evidence suggests that people who trade cryptocurrency are more likely to experience problem gambling (PG).

In the present study, the researchers examined gambling motives and cognitive distortions among people who trade cryptocurrency. It was found that of the 700 participants, one-third experienced PG and one-third experienced at-risk gambling. Gambling to enhance positive moods and interpretative bias predicted at-risk gambling. Interpretative bias refers to beliefs that wins are due to skills and losses are due to external causes such as bad luck. Gambling to cope with negative moods was a strong predictor of PG. In terms of cognitive distortions, an inability to stop gambling predicted PG. These results could be of use to policy makers, researchers, and clinicians.


Citation: Xu, T., Grubbs, J. B., & Kraus, S. W. (2025). Problem gambling in the crypto era: A study of gambling motivations and cognitive distortions amongst cryptocurrency traders. Public Health, 244, 105741. https://doi.org/10.1016/j.puhe.2025.105741

Article DOI: https://doi.org/10.1016/j.puhe.2025.105741

Keywords: cognitive distortions ; cryptocurrency ; gambling motivations ; problem gambling

Conceptual Framework Factors:   Gambling Types ; Psychological Factors ; Psychological - Judgement and Decision Making ; Types - Motivational Characteristics ; Gambling Exposure

Study Design: Descriptive: Survey

Geographic Coverage: United States of America

Study Population: The sample examined in this study comprised 700 cryptocurrency traders from the United States.

Sampling Procedure: The sample was drawn from a larger sample of 4,363 people taking part in a study of behavioural addictions. Participants were recruited through YouGov Opinion Polling. Sampling included recruiting a census-matched sample to be representative of the population of the United States and an additional oversample targeting people who engaged in sports betting.

Study Funding:

This study was funded through grants from the Kindbridge Research Institute and the International Center for Responsible Gaming.

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