Cryptocurrency trading and its associations with gambling and mental health: A scoping review

Johnson, Benjamin; Co, Steven J.; Sun, Tianze; Lim, Carmen; Stjepanović, Daniel; Leung, Janni; Saunders, John B.; Chan, Gary

doi:10.1016/j.addbeh.2022.107504

Cited by 36 publications

(27 citation statements)

References 32 publications

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“…We assume that it reflects the results of previous literature regarding financial trading or gambling (see review by Calado & Griffiths, 2016). Among cryptocurrency traders, there is the dominant tendency of young males being the majority participants, which mirrors the findings of other literature (Johnson et al, 2023) and highlights the need to study this population in future studies. Individuals entering the early adult stage have been considered the primary users of the cryptocurrency market given their engagement with novel technological innovation (Ross, 2017).…”

Section: Demographic Characteristics and Potential At-risk Populationsupporting

confidence: 82%

“…The problems of speculative behaviors in various forms of financial trading and investments have been increasingly sprawling with respect to their gambling-like features. This review is the first to synthesize the research regarding problem gambling and financial trading, and complements a recent review on the relation between cryptocurrency trading and problem gambling (Johnson et al, 2023). The aim of the current review is to provide an overview of the literature assessing the risk of problem gambling among financial trading, which included stock traders, day-traders, and cryptocurrency traders.…”

Section: Discussionmentioning

confidence: 99%

“…Individuals entering the early adult stage have been considered the primary users of the cryptocurrency market given their engagement with novel technological innovation (Ross, 2017). Due to the high prevalence of cryptocurrency content on social media, Johnson et al (2023) emphasize the importance of social media in cryptocurrency trading research. Specifically, many of Generation Z (those born after 1996) are increasingly seeking financial advice on social media and those young people are likely to invest in cryptocurrency as a result of being overexposed to cryptocurrency contents on social media (Glenski et al, 2019;King et al, 2014).…”

Section: Demographic Characteristics and Potential At-risk Populationmentioning

confidence: 99%

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Association between gambling and financial trading: A systemic review.

2023

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Background: Financial trading is often categorized separately from traditional forms of gambling (e.g., blackjack, poker, lottery, slot machines), as it is often viewed from an investing lens. However, the arbitrary line separating investing from gambling has become increasingly questioned, especially as it relates to high-risk trading behaviors (e.g., day trading, trading on margin) and riskier financial assets (e.g., options, cryptocurrencies). Further, the risk of gambling-related harms among financial traders appears to be amplified by new financial technologies, which have increased access to riskier financial assets and have encouraged riskier trading behaviors. Thus, the aim of the present study is to systematically review the literature assessing problem gambling among financial traders as well as the association between financial trading frequency and problem gambling. Methods: Twelve articles from three databases (SCOPUS, PsycINFO, and Web of Science) met the inclusion criteria, and were reviewed. Results: The prevalence of problem gambling was generally higher among individuals who engage in trading financial products, but rates varied substantially (1.4% to 47.2%) due in large part to differences in the study population, the problem gambling measures used, and the cutoff scores employed. Similarly, financial trading frequency was consistently associated with more severe problem gambling, but the strength of these associations ranged across studies. Conclusion: Collectively, while findings from these studies suggest that financial traders are at greater risk for problem gambling, it is evident that trading riskier assets and engaging in riskier trading behaviors place individuals at a substantially greater risk for problem gambling. Recommendations for future research include focusing on at-risk populations, practical implications for the intervention and policy, and emerging issues of digital technologies.

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Section: Demographic Characteristics and Potential At-risk Populationsupporting

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Section: Demographic Characteristics and Potential At-risk Populationmentioning

confidence: 99%

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Association between gambling and financial trading: A systemic review.

2023

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“…It is possible that this participant, had they not been screened and were instead given the PGSI automatically, would have returned a non-0 PGSI score because they might refer to harm experienced in relation to cryptocurrency investing [73][74][75] . These observations suggests that more research should be done on defining gambling in ways that yield broad agreement.…”

Section: Discussionmentioning

confidence: 99%

To screen, or not to screen: An experimental comparison of two methods for correlating video game loot box expenditure and problem gambling severity

Xiao¹,

Newall²,

James³

2023

Preprint

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Loot boxes are gambling-like products found in video games that players can buy with real-world money to obtain random rewards. A positive correlation between loot box spending and problem gambling severity has been well-replicated. Some researchers recently argued that this observed positive correlation may be due to participants incorrectly interpreting problem gambling questions as applying to their loot box expenditure. We experimentally tested this alternative explanation for the observed positive correlation (N = 2,027), by manipulating whether all participants were given the problem gambling scale (the ‘non-screening’ approach; n = 1,005), or by ‘screening’ participants (n = 1,022) by only giving those reporting recent gambling expenditure the problem gambling scale. Results showed positive correlations across both experimental conditions, with the association being slightly stronger in the non-screening group. In addition, a predicted positive correlation emerged between past-year gambling participation and loot box expenditure in the screening group. These experimental results confirm that the association between loot box spending and problem gambling severity is likely not due to participants misinterpreting problem gambling questions as being relevant to their loot box spending. These results also provide support for the usage of gambling participation screening questions in further research on this topic.

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“…Johnson ve arkadaşlarının çalışmasında problemli kumar oynama ile kripto para ticaretinin etkileşimi ve yoğunluğu arasında olası bir ilişki olduğunu iddia etmişlerdir (12). Ayrıca Griffiths, kripto para ticareti için çevrimiçi günlük ticaret bağımlılığı veya borsa bağımlılığı ile ilişkili bir alt bağımlılık türü olabileceği iddiasında bulunmuştur (11,13).…”

Section: Introductionunclassified

ROC Analizi ile Sorunlu Kripto Para Ticareti Ölçeği İçin Kesme Puanının Oluşturulması

Menteş

Bulut

2023

Bağımlılık Dergisi

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Amaç: Bu çalışmanın amacı son zamanlarda hızla kullanım alanı bulan kripto paralar ile ilgili olarak bağımlılık ve kumar benzeri davranış sergileyen kullanıcıların tespitinde kullanılan Sorunlu Kripto Para Ticareti Ölçeği (SPKTÖ) için kesme puanı belirlemektir. Yöntem: Çalışmaya 2180 birey katılım sağlamıştır. Eksik verisi olan anketler çıkarıldıktan sonra analizler 2132 anket verisi için uygulanmıştır. Çalışmada SKPT ölçeği kullanılmıştır Gizil Sınıf Analizi (LCA) ve ROC Analizi yardımı ile ölçek kesme puanı hesaplanmıştır. Ölçek yardımı ile toplanan ölçek toplam puanları Gizil Sınıf Analizi (LCA) yardımı ile kategorize edilmiş. Daha sonra belirlenen gruplar ile ROC Analizi yardımı ile ölçek kesme puanı belirlenmiştir. Bulgular: Katılımcıların %82,4 ü erkek, %49 u bekar kişilerden oluşmaktadır. Katılımcıların %7,2 si ise ilköğretim, %26,2 si lise, %56,3 üniversite, %10,3 ü lisansüstü okul mezunudur. İki Aşamalı Kümeleme Analizi ile veriler 3 kümede toplanmıştır. Birinci kümede verilerin %17,5 i ikinci kümede verilerin %34,8 i, üçüncü kümede ise verilerin %47,7 si yer almaktadır. Ölçek toplam puanı 52,5 in üzerinde olanlar tüm katılımcıların %3,7 sini oluşturmaktadır. Ölçeğin Cronbach Alfa değeri 0,915 tir. Sonuç: Sorunlu kripto para yatırımı yapanlarda kumar benzeri davranış sergileyen bir riskli grup yer almaktadır. SKPT ölçeği bu davranışı ölçen bir ölçek olarak tasarlanmıştır. Riskli davranış sergileyen katılımcıların oranı %3,7 ile dikkat çekici bir orandır. SKPT ölçeği için ölçek kesme puanı 34,5 olarak belirlenmiştir.

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Cryptocurrency trading and its associations with gambling and mental health: A scoping review

Cited by 36 publications

References 32 publications

Association between gambling and financial trading: A systemic review.

Association between gambling and financial trading: A systemic review.

To screen, or not to screen: An experimental comparison of two methods for correlating video game loot box expenditure and problem gambling severity

ROC Analizi ile Sorunlu Kripto Para Ticareti Ölçeği İçin Kesme Puanının Oluşturulması

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