| Title |
What’s in a Name? Assessing the Accuracy of Self-identifying as a Professional or Semi-Professional Gambler
|
|---|---|
| Published in |
Journal of Gambling Studies, October 2014
|
| DOI | 10.1007/s10899-014-9507-9 |
| Pubmed ID | |
| Authors |
Nerilee Hing, Alex Russell, Alex Blaszczynski, Sally M. Gainsbury |
| Abstract |
Growing interest in pursuing a professional gambling career has been accompanied by a rise in individuals self-identifying as professional gamblers. Whether this trend reflects an actual increase in individuals sustaining livelihoods from gambling or inaccurate appropriation of a now glamorized identity is unclear. Adopting a self-image of professional gambler in the absence of ability to earn a sustainable income from the activity may increase risk of problem gambling and deter help-seeking. However, extent of problem gambling in this cohort is uncertain. This study aimed to: (1) determine any differences that might validate the self-reported identity of professional and semi-professional gamblers by investigating characteristics and behaviors that distinguish them from amateur gamblers; and (2) identify characteristics and behaviors that distinguish between self-identified semi-professional/professional gamblers with and without gambling problems. In an online survey of 4,594 Australian gamblers, 1.2 % identified as professional gamblers, 6.8 % as semi-professional gamblers, and 92.0 % as amateur gamblers. Self-identified professional and semi-professional gamblers were distinguished from amateur gamblers by preference for skill-based gambling, higher reported likelihood of winning, and greater use of online gambling and multiple online operators. Two-fifths of professional and three-fifths of semi-professional gamblers scored as moderate risk or problem gamblers, but negative consequences were more likely personal, interpersonal and work/study related, rather than financial. Although results support the general accuracy of self-reported semi/professional gambling status, measures are needed to help semi/professional gamblers distinguish whether their gambling is a problem or profession. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 50 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 15% |
| Researcher | 8 | 15% |
| Student > Master | 7 | 13% |
| Student > Doctoral Student | 4 | 8% |
| Lecturer > Senior Lecturer | 3 | 6% |
| Other | 13 | 25% |
| Unknown | 9 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 19 | 37% |
| Social Sciences | 7 | 13% |
| Medicine and Dentistry | 6 | 12% |
| Nursing and Health Professions | 3 | 6% |
| Business, Management and Accounting | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 10 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 November 2014.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Journal of Gambling Studies
#791
of 989 outputs
Outputs of similar age
#200,416
of 273,744 outputs
Outputs of similar age from Journal of Gambling Studies
#10
of 12 outputs
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