Literature DB >> 22113966

Differences in pathological gambling prevalence estimates: facts or artefacts?

Monika Sassen1, Ludwig Kraus, Gerhard Bühringer.   

Abstract

The paper aims at investigating whether survey methodology has recently converged to justify the common practice of comparing prevalence estimates and interpreting differences within and between countries. To this end, prevalence studies of problem (PrG) and pathological gambling (PG) published in peer-reviewed journals between 2000 and 2010 were critically reviewed. A systematic computer-based literature search was conducted within various databases and major gambling journals. In a two-step search process, a total of 39 studies reporting current prevalence data of non-clinical national samples from different countries were identified. Analyses revealed wide ranges in estimated PrG/PG rates for adults, adolescents, and college students, whereas similar estimates were reported in two studies on PrG/PG in seniors. Despite the discussion on methodological consistency in the field of gambling research, comparability of the reported estimates was found to be still highly limited by major variation between studies with regard to survey description, administration format, exclusion criteria, assessment instrument, cut-off scores, sample frame, and reference period. The interpretation of differences in PrG and PG prevalence estimates within and between countries may be improved by using valid and reliable instruments and by applying comparable survey methodology in well-defined populations.
Copyright © 2011 John Wiley & Sons, Ltd.

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Year:  2011        PMID: 22113966      PMCID: PMC6878318          DOI: 10.1002/mpr.354

Source DB:  PubMed          Journal:  Int J Methods Psychiatr Res        ISSN: 1049-8931            Impact factor:   4.035


  64 in total

1.  Problem gambling among adolescent students in the atlantic provinces of Canada.

Authors:  C Poulin
Journal:  J Gambl Stud       Date:  2000

2.  Gambling and problematic gambling with money among Norwegian youth (12-18 years).

Authors:  Agneta Johansson; K Gunnar Götestam
Journal:  Nord J Psychiatry       Date:  2003       Impact factor: 2.202

3.  Psychosocial variables associated with adolescent gambling.

Authors:  Karen K Hardoon; Rina Gupta; Jeffrey L Derevensky
Journal:  Psychol Addict Behav       Date:  2004-06

4.  The SOGS-RA vs. the MAGS-7: prevalence estimates and classification congruence.

Authors:  Jennifer Langhinrichsen-Rohling; Martin L Rohling; Paul Rohde; John R Seeley
Journal:  J Gambl Stud       Date:  2004

5.  Measuring pathological gambling in children: The case of fruit machines in the U.K.

Authors:  S Fisher
Journal:  J Gambl Stud       Date:  1992-09

6.  The prevalence of pathological gambling in Canada.

Authors:  R Ladouceur
Journal:  J Gambl Stud       Date:  1996-06

7.  The selectivity of inclusion and exclusion criteria in bulimia nervosa treatment studies.

Authors:  J E Mitchell; D D Maki; D E Adson; B S Ruskin; S Crow
Journal:  Int J Eat Disord       Date:  1997-11       Impact factor: 4.861

8.  The South Oaks Gambling Screen (SOGS): a new instrument for the identification of pathological gamblers.

Authors:  H R Lesieur; S B Blume
Journal:  Am J Psychiatry       Date:  1987-09       Impact factor: 18.112

9.  Parental modeling, attachment, and supervision as moderators of adolescent gambling.

Authors:  Maggie E Magoon; Gary M Ingersoll
Journal:  J Gambl Stud       Date:  2006

Review 10.  Prevalence of adult problem and pathological gambling between 2000 and 2005: an update.

Authors:  Stephanie Stucki; Margret Rihs-Middel
Journal:  J Gambl Stud       Date:  2007-01-11
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  10 in total

1.  Gambling and Problem Gambling in Victoria, Australia: Changes over 5 years.

Authors:  Max Abbott; Christine A Stone; Rosa Billi; Kristal Yeung
Journal:  J Gambl Stud       Date:  2016-03

2.  Latent Class Analysis of Gambling Activities in a Sample of Young Swiss Men: Association with Gambling Problems, Substance Use Outcomes, Personality Traits and Coping Strategies.

Authors:  Joseph Studer; Stéphanie Baggio; Meichun Mohler-Kuo; Olivier Simon; Jean-Bernard Daeppen; Gerhard Gmel
Journal:  J Gambl Stud       Date:  2016-06

3.  Setting criterion thresholds for estimating prevalence: what is being validated?

Authors:  Blase Gambino
Journal:  J Gambl Stud       Date:  2014-09

4.  The "Pathological Gambling and Epidemiology" (PAGE) study program: design and fieldwork.

Authors:  Christian Meyer; Anja Bischof; Anja Westram; Christine Jeske; Susanna de Brito; Sonja Glorius; Daniela Schön; Sarah Porz; Diana Gürtler; Nadin Kastirke; Tobias Hayer; Frank Jacobi; Michael Lucht; Volker Premper; Reiner Gilberg; Doris Hess; Gallus Bischof; Ulrich John; Hans-Jürgen Rumpf
Journal:  Int J Methods Psychiatr Res       Date:  2015-01-13       Impact factor: 4.035

5.  Problem Gambling in Greece: Prevalence and Risk Factors During the Financial Crisis.

Authors:  Marina Economou; Kyriakos Souliotis; Melpomeni Malliori; Lily Evangelia Peppou; Konstantinos Kontoangelos; Helen Lazaratou; Dimitris Anagnostopoulos; Christina Golna; George Dimitriadis; George Papadimitriou; Charalampos Papageorgiou
Journal:  J Gambl Stud       Date:  2019-12

6.  A Systematic Review of Land-Based Self-Exclusion Programs: Demographics, Gambling Behavior, Gambling Problems, Mental Symptoms, and Mental Health.

Authors:  Roxana Kotter; Anja Kräplin; Andre Pittig; Gerhard Bühringer
Journal:  J Gambl Stud       Date:  2019-06

7.  Risk factors, physical and mental health burden of male and female pathological gamblers in the German general population aged 40-80.

Authors:  Martin Wejbera; Klaus Wölfling; Michael Dreier; Matthias Michal; Elmar Brähler; Jörg Wiltink; Andreas Schulz; Philipp S Wild; Thomas Münzel; Jochem König; Karl Lackner; Norbert Pfeiffer; Manfred E Beutel
Journal:  BMC Psychiatry       Date:  2021-03-04       Impact factor: 3.630

8.  DSM-5 criteria for gambling disorder: Underlying structure and applicability to specific groups of gamblers.

Authors:  Pawel Sleczka; Barbara Braun; Daniela Piontek; Gerhard Bühringer; Ludwig Kraus
Journal:  J Behav Addict       Date:  2015-12       Impact factor: 6.756

9.  A meta-regression analysis of 41 Australian problem gambling prevalence estimates and their relationship to total spending on electronic gaming machines.

Authors:  Francis Markham; Martin Young; Bruce Doran; Mark Sugden
Journal:  BMC Public Health       Date:  2017-05-23       Impact factor: 3.295

10.  The role of neurotrophin genes involved in the vulnerability to gambling disorder.

Authors:  Neus Solé-Morata; Isabel Baenas; Mikel Etxandi; Roser Granero; Sonia V Forcales; Manel Gené; Carme Barrot; Mónica Gómez-Peña; José M Menchón; Nicolás Ramoz; Philip Gorwood; Fernando Fernández-Aranda; Susana Jiménez-Murcia
Journal:  Sci Rep       Date:  2022-04-28       Impact factor: 4.996

  10 in total

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