Thresholds of probable problematic gambling involvement for the German population: Results of the Pathological Gambling and Epidemiology (PAGE) Study

Psychology of Addictive Behaviors

Volumn 29, Issue 3, 2015, Pages 794-804

  Brosowski, Tim ^a   Hayer, Tobias ^a   Meyer, Gerhard ^a   Rumpf, Hans Jürgen ^b   John, Ulrich ^c   Bischof, Anja ^b   Meyer, Christian ^c  

^a UNIVERSITY OF BREMEN   (Germany)

^b UNIVERSITY OF LÜBECK   (Germany)

^c UNIVERSITY MEDICINE GREIFSWALD   (Germany)

Author keywords

early detection; guidelines; intensity; low risk gambling; receiver operating characteristic curve (ROC)

Indexed keywords

ADOLESCENT; AGE; AGED; ARTICLE; CONTROLLED STUDY; DSM-5; EDUCATIONAL STATUS; GENDER; GERMAN (CITIZEN); HIGH RISK POPULATION; HUMAN; LOW RISK POPULATION; MAJOR CLINICAL STUDY; MALE; MIGRATION; ONLINE SYSTEM; PATHOLOGICAL GAMBLING; PREVALENCE; UNEMPLOYMENT; VALIDATION PROCESS; ADULT; DIAGNOSIS; DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS; EPIDEMIOLOGY; FEMALE; GAMBLING; GERMANY; MIDDLE AGED; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; SEVERITY OF ILLNESS INDEX; STATISTICAL MODEL; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS; FEMALE; GAMBLING; GERMANY; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; PREVALENCE; RISK ASSESSMENT; ROC CURVE; SEVERITY OF ILLNESS INDEX; YOUNG ADULT;

EID: 84942586441     PISSN: 0893164X     EISSN: 19391501     Source Type: Journal    
DOI: 10.1037/adb0000088     Document Type: Article

References (35)

1. Braverman, J., Tom, M. A., & Shaffer, H. J. (2014). Accuracy of selfreported versus actual online gambling wins and losses. Psychological Assessment, 26, 865-877. http://dx.doi.org/10.1037/a0036428
2. Brosowski, T. B., Meyer, G., & Hayer, T. (2012). Analyses of multiple types of online gambling within one provider: An extended evaluation framework of actual online gambling behaviour. International Gambling Studies, 12, 405-419. http://dx.doi.org/10.1080/14459795.2012.698295
3. Burger, M., Bronstrup, A., & Pietrzik, K. (2004). Derivation of tolerable upper alcohol intake levels in Germany: A systematic review of risks and benefits of moderate alcohol consumption. Preventive Medicine, 39, 111-127. http://dx.doi.org/10.1016/j.ypmed.2003.11.011
4. BZgA. (2014). Glücksspielverhalten und Glücksspielsucht in Deutschland. Ergebnisse des Surveys 2013 und Trends [Gambling behavior and gambling addiction in Germany. Results of the survey 2013 and trends]. Koln: Bundeszentrale für gesundheitliche Aufklärung.
5. Cunningham, J. A. (2006). Risk curves: Gambling with data. Addiction, 101, 1214-1215. http://dx.doi.org/10.1111/j.1360-0443.2006.01536.x
6. Currie, S. R., & Casey, D. M. (2007). Quantification and dimensionalization of gambling behavior. In G. Smith, D. C. Hodgins, & R. J. Williams (Eds.), Research and measurement issues in gambling research (pp. 155-173). Burlington, MA: Academic Press.
7. Currie, S. R., Hodgins, D. C., Casey, D. M., el-Guebaly, N., Smith, G. J., Williams, R. J., Wood, R. T. (2012). Examining the predictive validity of low-risk gambling limits with longitudinal data. Addiction, 107, 400-406. http://dx.doi.org/10.1111/j.1360-0443.2011.03622.x
8. Currie, S. R., Hodgins, D. C., Wang, J., el-Guebaly, N., & Wynne, H. (2008). In pursuit of empirically based gambling limits. International Gambling Studies, 8, 207-227. http://dx.doi.org/10.1080/14459790802172265
9. Currie, S. R., Hodgins, D. C., Wang, J., el-Guebaly, N., Wynne, H., & Chen, S. (2006). Risk of harm among gamblers in the general population as a function of level of participation in gambling activities. Addiction, 101, 570-580. http://dx.doi.org/10.1111/j.1360-0443.2006.01392.x
10. Currie, S. R., Hodgins, D. C., Wang, J., el-Guebaly, N., Wynne, H., & Miller, N. V. (2008). Replication of low-risk gambling limits using Canadian provincial gambling prevalence data. Journal of Gambling Studies, 24, 321-335. http://dx.doi.org/10.1007/s10899-008-9091-y
11. Currie, S. R., Miller, N. V., Hodgins, D. C., & Wang, J. (2009). Defining a threshold of harm from gambling for population health surveillance research. International Gambling Studies, 9, 19-38. http://dx.doi.org/10.1080/14459790802652209
12. Delfabbro, P. H., Osborn, A., Nevile, M., Skelt, L., & McMillen, J. (2007). Identifying problem gamblers in gambling venues: Final report. Retrieved from http://cedam.anu.edu.au/sites/default/files/Delfabbro%20et% 20al%20Final%20IDENTIFYING%20PROBLEM%20GAMBLERS% 20AT%20THE%20GAMING%20VENUE.%20August%2024%202007.pdf
13. Gambino, B. (2006). Reflections on accuracy. Journal of Gambling Studies, 22, 393-404. http://dx.doi.org/10.1007/s10899-006-9025-5
14. Gambino, B. (2012). The validation of screening tests: Meet the new screen same as the old screen? Journal of Gambling Studies, 28, 573-605. http://dx.doi.org/10.1007/s10899-011-9285-6
15. Griffiths, M. D. (1993). Fruit machine gambling: Importance of structural characteristics. Journal of Gambling Studies, 9, 101-120. http://dx.doi.org/10.1007/BF01014863
16. Hayer, T., Kalke, J., Buth, S., & Meyer, G. (2013). Die Früherkennung von Problemspielerinnen und Problemspielern in Spielhallen: Entwicklung und Validierung eines Screening-Instrumentes [Early detection of problem gamblers in gambling venues: Development and validation of a screening instrument]. Retrieved from http://gerhard.meyer.uni-bremen. de/index-dateien/Die-Frueherkennung-von-Problemspielerinnen-und-Problemspielern-in-Spielhallen.pdf
17. Jackson, A. C., Pennay, D., Dowling, N. A., Coles-Janess, B., & Christensen, D. R. (2014). Improving gambling survey research using dualframe sampling of landline and mobile phone numbers. Journal of Gambling Studies, 30, 291-307. http://dx.doi.org/10.1007/s10899-012-9353-6
18. LaPlante, D. A., Nelson, S. E., LaBrie, R. A., & Shaffer, H. J. (2011). Disordered gambling, type of gambling and gambling involvement in the British Gambling Prevalence Survey 2007. European Journal of Public Health, 21, 532-537. http://dx.doi.org/10.1093/eurpub/ckp177
19. Meyer, C., Bischof, A., Westram, A., Jeske, C., de Brito, S., Glorius, S., Rumpf, H. J. (2015). The 'Pathological Gambling and Epidemiology' (PAGE) study program: Design and fieldwork. International Journal of Methods in Psychiatric Research, 24, 11-31. http://dx.doi.org/10.1002/mpr.1458
20. Meyer, C., Rumpf, H. J., Kreuzer, A., De Brito, S., Glorius, S., & Jeske, C., Westram, A. (2011). Pathologisches Glücksspielen und Epidemiologie (PAGE): Entstehung, Komorbidität, Remission und Behandlung [Pathological gambling and epidemiology (PAGE): emergence, comorbidity, remission and treatment]. Greifswald: Institut für Sozialmedizin und Prävention.
21. Meyer, G., Fiebig, M., Häfeli, J., & Morsen, C. (2011). Development of an assessment tool to evaluate the risk potential of different gambling types. International Gambling Studies, 11, 221-236. http://dx.doi.org/10.1080/14459795.2011.584890
22. Petry, N. M. (2004). Pathological gambling: Etiology, comorbidity, and treatment. Washington, DC: American Psychological Association.
23. Quilty, L. C., Avila Murati, D., & Bagby, R. M. (2014). Identifying indicators of harmful and problem gambling in a Canadian sample through receiver operating characteristic analysis. Psychology of Addictive Behaviors, 28, 229-237. http://dx.doi.org/10.1037/a0032801
24. Rehm, J., Room, R., Graham, K., Monteiro, M., Gmel, G., & Sempos, C. T. (2003). The relationship of average volume of alcohol consumption and patterns of drinking to burden of disease: An overview. Addiction, 98, 1209-1228. http://dx.doi.org/10.1046/j.1360-0443.2003.00467.x
25. Room, R. (2000). Measuring drinking patterns: The experience of the last half century. Journal of Substance Abuse, 12, 23-31. http://dx.doi.org/10.1016/S0899-3289(00)00038-9
26. Schellinck, T., & Schrans, T. (2011). Intelligent design: How to model gambler risk assessment by using loyalty tracking data. Journal of Gambling Issues, 26, 51-68. http://dx.doi.org/10.4309/jgi.2011.26.5
27. Single, E., & Leino, V. E. (1998). The levels, patterns, and consequences of drinking. In M. Grant & J. Litvak (Eds.), Drinking patterns and their consequences (pp. 7-24). Washington, DC: Taylor & Francis.
28. Swets, J. A. (1988). Measuring the accuracy of diagnostic systems. Science, 240, 1285-1293. http://dx.doi.org/10.1126/science.3287615
29. Swets, J. A., Dawes, R. M., & Monahan, J. (2000). Psychological science can improve diagnostic decisions. Psychological Science in the Public Interest, 1, 1-26. http://dx.doi.org/10.1111/1529-1006.001
30. Weinstock, J., Ledgerwood, D. M., & Petry, N. M. (2007). Association between posttreatment gambling behavior and harm in pathological gamblers. Psychology of Addictive Behaviors, 21, 185-193. http://dx.doi.org/10.1037/0893-164X.21.2.185
31. Weinstock, J., Whelan, J. P., & Meyers, A. (2008). College students' gambling behavior: When does it become harmful? Journal of American College Health, 56, 513-522. http://dx.doi.org/10.3200/JACH.56.5.513-522
32. Welte, J. W., Barnes, G. M., Tidwell, M. C., & Hoffman, J. H. (2009). The association of form of gambling with problem gambling among American youth. Psychology of Addictive Behaviors, 23, 105-112. http://dx.doi.org/10.1037/a0013536
33. WHO. (2009). CIDI 3.0. Computer assisted personal interview (CAPI V21.1.1). Gambling section. Geneva, Switzerland: World Health Organization.
34. Wood, R. T., & Williams, R. J. (2007). How much money do you spend on gambling? The comparative validity of question wordings used to assess gambling expenditure. International Journal of Social Research Methodology, 10, 63-77. http://dx.doi.org/10.1080/13645570701211209
35. Wood, R. T., & Williams, R. J. (2009). Internet gambling: Prevalence, patterns, problems, and policy options. Retrieved from https://www.uleth.ca/dspace/bitstream/handle/10133/693/2009-InternetPPPPOPGRC. pdf?sequence-4