Xu T, Grubbs J B, Kraus S W
William F. Harrah College of Hospitality, University of Nevada, Las Vegas, 4505 S. Maryland Pkwy., Las Vegas, NV, 89154, USA.
Department of Psychology, Center on Alcohol, Substance Use, and Addictions, University of New Mexico, 2650 Yale Blvd SE, MSC11-6280, Albuquerque, NM, 87106, USA.
Public Health. 2025 Jul;244:105741. doi: 10.1016/j.puhe.2025.105741. Epub 2025 May 2.
The rise of cryptocurrency trading has sparked global interest and raised concerns about its potential links to problematic gambling behaviours. This study examined the prevalence of problematic gambling amongst cryptocurrency traders and identified psychological predictors, focusing on gambling motivations and cognitive distortions.
Cross-sectional survey study using YouGov Opinion Polling's sample-matching methodology.
A sample of 700 cryptocurrency traders was drawn from a larger behavioural addiction project (N = 4363). Participants completed the Problem Gambling Severity Index (PGSI), Gambling Motives Questionnaire-Financial (GMQ-F), and Gambling Related Cognitions Scale (GRCS). Analyses included chi-square tests, one-way ANOVAs with Tukey's post-hoc tests, and multinomial logistic regression.
Problematic gambling was identified in 33.7 % of traders, with 33.9 % classified as at-risk gambling and 32.4 % as non-problematic gambling. Enhancement motivation (OR = 1.60, 95 % CI [1.10, 2.34]) and interpretative bias (OR = 1.38, 95 % CI [1.06, 1.81]) positively predicted at-risk gambling, whereas social motivation showed protective effects (OR = 0.61, 95 % CI [0.41, 0.91]). Coping motivation strongly predicted problematic gambling (OR = 4.47, 95 % CI [2.28, 8.78]), as did inability to stop gambling (OR = 3.18, 95 % CI [2.22, 4.54]). Age was negatively associated with problematic gambling (OR = 0.94, 95 % CI [0.91, 0.97]).
Findings reveal high rates of problematic gambling amongst cryptocurrency traders, with distinct motivational and cognitive predictors at different risk levels. Results suggest the need for targeted educational programmes and intervention strategies tailored to address specific risk factors.
加密货币交易的兴起引发了全球关注，并引发了人们对其与问题赌博行为潜在联系的担忧。本研究调查了加密货币交易者中问题赌博的流行情况，并确定了心理预测因素，重点关注赌博动机和认知扭曲。
采用舆观调查网的样本匹配方法进行横断面调查研究。
从一个更大的行为成瘾项目（N = 4363）中抽取了700名加密货币交易者作为样本。参与者完成了问题赌博严重程度指数（PGSI）、赌博动机问卷 - 财务版（GMQ - F）和赌博相关认知量表（GRCS）。分析包括卡方检验、带有图基事后检验的单因素方差分析以及多项逻辑回归。
33.7%的交易者被认定存在问题赌博，其中33.9%被归类为有风险赌博，32.4%为无问题赌博。增强动机（OR = 1.60，95%置信区间[1.10, 2.34]）和解释性偏差（OR = 1.38，95%置信区间[1.06, 1.81]）对有风险赌博有正向预测作用，而社交动机显示出保护作用（OR = 0.61，95%置信区间[0.41, 0.91]）。应对动机对问题赌博有强烈的预测作用（OR = 4.47，95%置信区间[2.28, 8.78]），无法停止赌博也有同样的作用（OR = 3.18，95%置信区间[2.22, 4.54]）。年龄与问题赌博呈负相关（OR = 0.94，95%置信区间[0.91, 0.97]）。
研究结果显示加密货币交易者中问题赌博的发生率很高，在不同风险水平下有不同的动机和认知预测因素。结果表明需要针对特定风险因素制定有针对性的教育计划和干预策略。
