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2018
DOI: 10.1080/19357397.2018.1525143
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A meta-analytical synthesis and examination of pathological and problem gambling rates among college athletes

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Cited by 5 publications
(3 citation statements)
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“…In the only meta-analysis of its type to date, Nowak (2014) examined 124 independent data estimates retrieved from 72 studies conducted between 1987 and 2015, surveying 41,989 university students and student-athletes worldwide. The estimated proportion of probable pathological gamblers among students was computed at 6.13%, with a 6.46% rate among student-athletes; this difference was not statistically significant.…”
Section: Studiesmentioning
confidence: 99%
“…In the only meta-analysis of its type to date, Nowak (2014) examined 124 independent data estimates retrieved from 72 studies conducted between 1987 and 2015, surveying 41,989 university students and student-athletes worldwide. The estimated proportion of probable pathological gamblers among students was computed at 6.13%, with a 6.46% rate among student-athletes; this difference was not statistically significant.…”
Section: Studiesmentioning
confidence: 99%
“…University students are thought to be particularly susceptible to gambling addiction for a combination of factors described by Nowak (2018b, p. 241) as a 'perfect storm'. These factors include: age with university representing a period of youth synonymous with experimentation with various risk behaviours; availability of an array of gambling opportunities and products both of a formal and informal, legal and illegal nature; acceptability of gambling within liberalised gambling societies and cultures; advertising aimed at promoting, glorifying and normalise gambling engagement; and access to money from student loans, parental support and credit lenders (Nowak, 2018b).…”
Section: Introductionmentioning
confidence: 99%
“…These different factors emphasize the strong individual and contextual relationship between active sports participation and sports betting behaviorover and above the effects of fandom. In turn, this could lead to (former) athletes betting more on sports than fans (Winters & Derevensky, 2019), being more likely to bet on the sport they have played (Weiss & Loubier, 2010) and showing higher prevalence rates for betting-related problems (e.g., Ellenbogen et al, 2008;Grall-Bronnec et al, 2016;Nowak, 2018;Vinberg et al, 2020).…”
mentioning
confidence: 99%