Literature DB >> 21360068

Gambling in Western and Eastern Europe: the example of Hungary.

Bernadette Kun1, Hedvig Balázs, Petra Arnold, Borbála Paksi, Zsolt Demetrovics.   

Abstract

The history of gambling in post-socialist countries is noticeably different from that of other countries in Europe. The goal of this study was therefore twofold: Firstly, to systematically review all European epidemiological studies related to excessive gambling in the general adult population, and secondly, to provide an overview of the state of gambling in Hungary based on the first ever nationwide representative survey, setting the results against the backdrop of the earlier European studies. A systematic review was carried out of European gambling studies which focus on a representative adult general population. Hungarian data was obtained from the National Survey on Addiction Problems in Hungary general adult population survey (N = 2,710). Pathological gambling was measured by the South Oaks Gambling Screen. Lifetime prevalence of excessive gambling (problem and pathological gambling) in the general adult population of European countries varies between 1.1% (Italy and Spain) and 6.5% (Estonia). In Hungary, the prevalence of problem gambling is 1.9%, with pathological gambling at 1.4%. The socio-demographic characteristics of the results are similar to those of other European countries. Using epidemiological data from the general adult populations of two post-socialist nations, it was possible to compare the results with data from 12 other European countries. Based on the data available, the extremely rapid liberation of the gambling market in the post-socialist countries has led to a similarly swift escalation in associated gambling problems.

Mesh:

Year:  2012        PMID: 21360068     DOI: 10.1007/s10899-011-9242-4

Source DB:  PubMed          Journal:  J Gambl Stud        ISSN: 1050-5350


  20 in total

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Journal:  Am J Psychiatry       Date:  1987-09       Impact factor: 18.112

7.  [The methodology and sample description of the National Survey on Addiction Problems in Hungary 2015 (NSAPH 2015)].

Authors:  Borbala Paksi; Zsolt Demetrovics; Anna Magi; Katalin Felvinczi
Journal:  Neuropsychopharmacol Hung       Date:  2017-06

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Authors:  C M Beaudoin; B J Cox
Journal:  Can J Psychiatry       Date:  1999-06       Impact factor: 4.356

9.  Sociodemographic correlates of internet gambling: findings from the 2007 british gambling prevalence survey.

Authors:  Mark Griffiths; Heather Wardle; Jim Orford; Kerry Sproston; Bob Erens
Journal:  Cyberpsychol Behav       Date:  2009-04

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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  7 in total

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

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Journal:  J Gambl Stud       Date:  2014-03

4.  Gambling disorders, gambling type preferences, and psychiatric comorbidity among the Thai general population: Results of the 2013 National Mental Health Survey.

Authors:  Sawitri Assanangkornchai; Edward B McNeil; Nopporn Tantirangsee; Phunnapa Kittirattanapaiboon
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Review 5.  Problem gambling worldwide: An update and systematic review of empirical research (2000-2015).

Authors:  Filipa Calado; Mark D Griffiths
Journal:  J Behav Addict       Date:  2016-10-27       Impact factor: 6.756

6.  Decision-Making Under Risk, but Not Under Ambiguity, Predicts Pathological Gambling in Discrete Types of Abstinent Substance Users.

Authors:  Michael J Wilson; Jasmin Vassileva
Journal:  Front Psychiatry       Date:  2018-06-05       Impact factor: 4.157

7.  Co-occurrences of substance use and other potentially addictive behaviors: Epidemiological results from the Psychological and Genetic Factors of the Addictive Behaviors (PGA) Study.

Authors:  Eszter Kotyuk; Anna Magi; Andrea Eisinger; Orsolya Király; Andrea Vereczkei; Csaba Barta; Mark D Griffiths; Anna Székely; Gyöngyi Kökönyei; Judit Farkas; Bernadette Kun; Rajendra D Badgaiyan; Róbert Urbán; Kenneth Blum; Zsolt Demetrovics
Journal:  J Behav Addict       Date:  2020-06-26       Impact factor: 6.756

  7 in total

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