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Validation of the Consumption Screen for Problem Gambling (CSPG)

Overview of attention for article published in Journal of Gambling Studies, August 2011
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Title
Validation of the Consumption Screen for Problem Gambling (CSPG)
Published in
Journal of Gambling Studies, August 2011
DOI 10.1007/s10899-011-9260-2
Pubmed ID
Authors

Matthew J. Rockloff

Abstract

A 3 item screen for problem gambling was developed based on a conceptual analogue of the Alcohol Use Disorders Identification Test--Consumption (Bush et al. in Arch Intern Med 158:1789-1795, 1998); a brief screen that measures consumption rather than harm. Data were collected from an email panel survey of 588 men and 810 women (n = 1,398) across all states in Australia. Respondents indicated their consumption of gambling products using the 3 items of the new Consumption Screen for Problem Gambling (CSPG). Receiver Operating Characteristics curve analysis was used to analyze the performance of the new items relative to the Problem Gambling Severity Index (Ferris and Wynne in The Canadian problem gambling index: Final report, 2001). Results show a 98% probability that the CSPG score for a randomly chosen positive case of problem gambling will exceed the score for a randomly chosen negative case. In addition, a score of 4+ on the CSPG identified all 14 cases of Problem Gambling correctly, while only 7.3% of non-problem gamblers had scores of 4+ (sensitivity = 100%; specificity = 92.7%). Lastly, only 3.0% of respondents without any gambling problems had CSPG scores of 4+. The current study suggests that the CSPG, a brief consumption-based measure for gambling products, can quickly and accurately identify people who are likely to be experiencing gambling problems.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Master 5 15%
Researcher 4 12%
Student > Doctoral Student 3 9%
Student > Bachelor 3 9%
Other 8 24%
Unknown 4 12%
Readers by discipline Count As %
Psychology 12 35%
Medicine and Dentistry 5 15%
Social Sciences 5 15%
Mathematics 1 3%
Economics, Econometrics and Finance 1 3%
Other 3 9%
Unknown 7 21%