Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.
ADVANCED SEARCH
Log in
Top
Journal of Gambling Studies
Published in: Journal of Gambling Studies 1/2013

01-03-2013 | Original Paper

Testing NLCLiP: Validation of Estimates of Rates of Non-problematic and Problematic Gambling in a Sample of British Schoolchildren

Authors: John Lepper, Ben Haden

Published in: Journal of Gambling Studies | Issue 1/2013

Login to get access

Abstract

This paper reports on the results of applying a short screen for problem gambling, called NLCLiP, to a national sample of 8,958 British schoolchildren under the age of 16. It shows that, in its current form, NLCLiP can, with reasonable accuracy, be employed to estimate the rate of prevalence of problematic and non-problematic (i.e. gambling which does not lead to significant endorsement of DSM-IV-MR-J criteria) in a general population of children. However, NLCLiP does not reliably discriminate between problem and at risk gamblers. Moreover, it does not provide a reliable basis to identify cases of problem gambling. The main conclusion reached is that NLCLiP is a potentially useful tool for regulators to assess changes in the prevalence of problematic and non-problematic gambling among children over time.
Appendix
Available only for authorised users
Literature
Ashworth, J., & Howat, N. (2000). Under 16 s and the National Lottery: Tracking survey July 2000. London: National Lottery Commission.
Ashworth, J., & Nicola, D. (2000). Under 16 s and the National Lottery. London: National Lottery Commission.
Becona, E., & Gestal, C. (1996). Pathological gambling among 2nd-graders at “EGB”. Psicothema, 1, 13–23.
Becona, E., Miguez, M., del Carmen, V., & Fernando, L. (2001). Gambling problems among upper-secondary school students. Psicothema, 13(4), 551–556.
Borgers, N., Hox, J., & Sikkel, D. (2004). Response effects in surveys on children and adolescents: The effect of number of response options, negative wording and neutral mid-point. Quality & Quantity, 30, 17–33.CrossRef
Delfabbro, P., Grabosky, P., & Lahn, J. (2005). Adolescent gambling in the ACT. Canberra: ACT Gambling and Racing Commission.
Delfabbro, P., & Thrupp, L. (2003). The social determinants of youth gambling in South Australian adolescents. Journal of Adolescence, 26, 313–330.PubMedCrossRef
Derevensky, J., Gupta, R., & Winters, K. (2003). Prevalence rates of youth gambling problems: Are the current rates inflated? Journal of Gambling Studies, 19(4), 405–425.PubMedCrossRef
DSM-IV. (1994). Diagnostic and statistical manual of mental disorders. Washington DC: American Psychiatric Association.
Fisher, S. (1992). Measuring pathological gambling in children: The case of fruit machines in the UK. Journal of Gambling Studies, 8(3), 263–285.CrossRef
Fisher, S. (1998). Gambling and problem gambling among young people in England and Wales. London: National Lottery Commission.
Fisher, S. (1999). A prevalence study of gambling and Problem gambling among British adolescents. Addiction Research and Theory, 7(6), 505–538.
Fisher, S. (2000). Developing the DSM-IV criteria to identify adolescent problem gambling in non-clinical populations. Journal of Gambling Studies, 16(2–3), 253–273.PubMedCrossRef
Gerstein, D. R., Volberg, R. A., Murphy, S., & Toce, M. (1999). Gambling impact and behaviour study: Report to the Gambling Impact Study Commission. Chicago: National Opinion Research Center at the University of Chicago.
Gotestam, K. G., Johansson, A., Wengel, H. G., & Simonsen, I. E. (2004). Validation of the lie/bet screen for pathological gambling on two normal population data sets. Psychological Reports, 95(3 Part 1), 1009–1013.PubMed
Huang, J.-H., & Boyer, R. (2007). Epidemiology of youth gambling problems in Canada: A National Prevalence Study. The Canadian Journal of Psychiatry, 52(10), 657–665.
Ipsos-MORI. (2008). Young person omnibus (Wave 14): A Research Study among 11–16 years old on behalf of The National Lottery Commission. London: National Lottery Commission.
Johansson, A., & Gotestam, K. (2003). Gambling and problematic gambling with money among Norwegian youth 12–18 years. Nordic Journal of Psychiatry, 57(4), 317–321.PubMedCrossRef
Johnson, E. E., Hamer, R., Nora, R. M., Eistenstein, N., & Englehart, C. (1988). The lie/bet questionnaire for screening pathological gamblers. Psychological Reports, 80, 83–88.CrossRef
Kaminer, V., & Petry, N. M. (1999). Gambling behaviour in youths: Why we should be concerned. Psychiatric Services, 50(2), 167–168.PubMed
Langhinrichson-Rohling, J., Rohling, M. L., Rohde, P., & Seeley, J. R. (2004). The SOGS-RA vs. the MAGS 7: Prevalence estimates and classification congruence. Journal of Gambling Studies, 20(3), 259–281.CrossRef
Lupu, V., Onaca, E., & Lupu, E. (2002). The prevalence of pathological gambling in Romanian teenagers. Minerva Medica, October, 93(5), 413–418.PubMed
McCarty, C., House, M., Harman, J., & Richards, S. (2006). Effort in phone survey response rates: The effects of vendor and client-controlled factors. Field Methods, 18(2), 172–188.CrossRef
NLC. (2006). Under 16 s and the National Lottery: Final report. London: National Lottery Commission.
NLC. (2009). British survey of children, the National Lottery and Gambling 2008–09: Report of a quantitative survey. London: National Lottery Commission.
Olason, D. T., Skarphredinsson, G., Jonsdottir, J. E., Mikaelsson, M., & Gretarsson, S. J. (2006). Prevalence estimates of gambling and problem gambling among 13- to 15-year-old adolescents in Reykjavik: An examination of correlates of problem gambling and different accessibility to electronic gambling machines in Iceland. Journal of Gambling Issues, 18, 39–56.CrossRef
Rainone, G., & Gallati, R. J. (2007). Gambling behaviors and problem gambling among adolescents in New York state: Initial findings from the 2006 OASAS school survey. New York: New York State Office of Alcoholism and Substance Abuse Services.
Rossow, I., & Molde, H. (2006). Chasing the criteria: Comparing SOGS-RA and the Lie/Bet screen to assess prevalence of problem gambling and ‘at risk’ gambling among adolescents. Journal of Gambling Issues, 18, 57–71.CrossRef
Shaffer, H. J., LaBrie, R., Scanlan, K. M., & Cummings, T. N. (1994). Pathological gambling among adolescents: Massachusetts Gambling Screen (MAGS). Journal of Gambling Studies, 10(4), 339–362.CrossRef
Shapira, N. A., Ferguson, M. A., Frost-Pineda, K., & Gold, M. S. (2002). Gambling and problem gambling prevalence among adolescents in Florida: A report to the Florida Council on Compulsive Gambling Inc. Gainsville: Division of Addiction Medicine, University of Florida.
Social Science Research Centre of the University of Hong Kong (SSRCUHK). (2005). Study on Hong Kong People’s participation in gambling activities. Hong Kong: Home Affairs Bureau.
Sullivan, S. (2007). Don’t let and opportunity go by: Validation of the EIGHT gambling screen. International Journal of Mental Health and Addiction, 5(4), 381–389.CrossRef
Thomas, S. A., & Jackson, A. C. (2008). Risk and protective factors in problem gambling: Report to department of justice. Victoria: Problem Gambling Research and Treatment Centre.
Toce Gerstein, M., & Volberg, R. A. (2003). The NODS-CLiP: A new brief screen for pathological gambling, presentation to 17th National Conference on Problem Gambling, June 19.
Toce-Gerstein, M., Gerstein, D. R., & Volberg, R. A. (2009). The NODS-CLiP: A rapid screen for adult pathological and problem gambling. Journal of Gambling Studies, 25(4), 541–555.
Villa, A., Bercona, E., & Vazquez, F. L. (1997). Pathological gambling on fruit machines among school pupils in Gijon. Addiciones, 9(2), 195–208.
Wardle, H., Sprotson, K., Orford, J., Erens, B., Griffiths, M., Constantine, R., et al. (2007). British gambling prevalence survey 2007. London: National Centre for Social Research.
Watson, N., & Wooden, M. (2006). Identifying factors affecting longitudinal survey response (pp. 1–22). New York: Wiley Online Library.
Westphal, J. R., Rush, J. A., Stevens, L., & Johnson, L. J. (2000). Gambling behavior of Louisiana students in grades 6 through 12. Psychiatric Services, 51(1), 96–99.PubMed
Wiebe, J. (1999). Manitoba youth gambling prevalence survey: Summary of findings. Manitoba: Addictions Foundation of Manitoba.
Metadata
Title
Testing NLCLiP: Validation of Estimates of Rates of Non-problematic and Problematic Gambling in a Sample of British Schoolchildren
Authors
John Lepper
Ben Haden
Publication date
01-03-2013
Publisher
Springer US
Published in
Journal of Gambling Studies / Issue 1/2013
Electronic ISSN: 1573-3602
DOI
https://doi.org/10.1007/s10899-012-9294-0

Other articles of this Issue 1/2013

Journal of Gambling Studies 1/2013 Go to the issue

Original Paper

After the Ban of Slot Machines in Norway: A New Group of Treatment-Seeking Pathological Gamblers?

Original Paper

The Use of Tobacco as Gambling Currency by Federal Offenders in Canada Before and After a Tobacco Ban

Original Paper

Work and Non-Pathological Gambling

Original Paper

Updates of the Prevalence of Problem Gambling in Romanian Teenagers

Original Paper

Complex Factors and Behaviors in the Gambling Population of Italy

Original Paper

Alexithymia and Gambling: A Risk Factor for All Gamblers?