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Loss of Control as a Discriminating Factor Between Different Latent Classes of Disordered Gambling Severity

Analyses of disordered gambling assessment data have indicated that commonly used screens appear to measure latent categories. This stands in contrast to the oft-held assumption that problem gambling is at the extreme of a continuum. To explore this further, we report a series of latent class analys...

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Autores principales: James, Richard J. E., O’Malley, Claire, Tunney, Richard J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5101294/
https://www.ncbi.nlm.nih.gov/pubmed/26892198
http://dx.doi.org/10.1007/s10899-016-9592-z
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author James, Richard J. E.
O’Malley, Claire
Tunney, Richard J.
author_facet James, Richard J. E.
O’Malley, Claire
Tunney, Richard J.
author_sort James, Richard J. E.
collection PubMed
description Analyses of disordered gambling assessment data have indicated that commonly used screens appear to measure latent categories. This stands in contrast to the oft-held assumption that problem gambling is at the extreme of a continuum. To explore this further, we report a series of latent class analyses of a number of prevalent problem gambling assessments (PGSI, SOGS, DSM-IV Pathological Gambling based assessments) in nationally representative British surveys between 1999 and 2012, analysing data from nearly fifty thousand individuals. The analyses converged on a three class model in which the classes differed by problem gambling severity. This identified an initial class of gamblers showing minimal problems, a additional class predominantly endorsing indicators of preoccupation and loss chasing, and a third endorsing a range of disordered gambling criteria. However, there was considerable evidence to suggest that classes of intermediate and high severity disordered gamblers differed systematically in their responses to items related to loss of control, and not simply on the most ‘difficult’ items. It appeared that these differences were similar between assessments. An important exception to this was one set of DSM-IV criteria based analyses using a specific cutoff, which was also used in an analysis that identified an increase in UK problem gambling prevalence between 2007 and 2010. The results suggest that disordered gambling has a mixed latent structure, and that present assessments of problem gambling appear to converge on a broadly similar construct. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10899-016-9592-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-51012942016-11-21 Loss of Control as a Discriminating Factor Between Different Latent Classes of Disordered Gambling Severity James, Richard J. E. O’Malley, Claire Tunney, Richard J. J Gambl Stud Original Paper Analyses of disordered gambling assessment data have indicated that commonly used screens appear to measure latent categories. This stands in contrast to the oft-held assumption that problem gambling is at the extreme of a continuum. To explore this further, we report a series of latent class analyses of a number of prevalent problem gambling assessments (PGSI, SOGS, DSM-IV Pathological Gambling based assessments) in nationally representative British surveys between 1999 and 2012, analysing data from nearly fifty thousand individuals. The analyses converged on a three class model in which the classes differed by problem gambling severity. This identified an initial class of gamblers showing minimal problems, a additional class predominantly endorsing indicators of preoccupation and loss chasing, and a third endorsing a range of disordered gambling criteria. However, there was considerable evidence to suggest that classes of intermediate and high severity disordered gamblers differed systematically in their responses to items related to loss of control, and not simply on the most ‘difficult’ items. It appeared that these differences were similar between assessments. An important exception to this was one set of DSM-IV criteria based analyses using a specific cutoff, which was also used in an analysis that identified an increase in UK problem gambling prevalence between 2007 and 2010. The results suggest that disordered gambling has a mixed latent structure, and that present assessments of problem gambling appear to converge on a broadly similar construct. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10899-016-9592-z) contains supplementary material, which is available to authorized users. Springer US 2016-02-18 2016 /pmc/articles/PMC5101294/ /pubmed/26892198 http://dx.doi.org/10.1007/s10899-016-9592-z Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Paper
James, Richard J. E.
O’Malley, Claire
Tunney, Richard J.
Loss of Control as a Discriminating Factor Between Different Latent Classes of Disordered Gambling Severity
title Loss of Control as a Discriminating Factor Between Different Latent Classes of Disordered Gambling Severity
title_full Loss of Control as a Discriminating Factor Between Different Latent Classes of Disordered Gambling Severity
title_fullStr Loss of Control as a Discriminating Factor Between Different Latent Classes of Disordered Gambling Severity
title_full_unstemmed Loss of Control as a Discriminating Factor Between Different Latent Classes of Disordered Gambling Severity
title_short Loss of Control as a Discriminating Factor Between Different Latent Classes of Disordered Gambling Severity
title_sort loss of control as a discriminating factor between different latent classes of disordered gambling severity
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5101294/
https://www.ncbi.nlm.nih.gov/pubmed/26892198
http://dx.doi.org/10.1007/s10899-016-9592-z
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