Increases in the availability of gambling heighten the need for a short screening measure of problem gambling. The Problem Gambling Severity Index (PGSI) is a brief measure that allows for the assessment of characteristics of gambling behavior and severity and its consequences. The authors evaluate the psychometric properties of the PGSI using item response theory methods in a representative sample of the urban adult population in South Africa (N = 3,000). The PGSI items were evaluated for differential item functioning (DIF) due to language translation. DIF was not detected. The PGSI was found to be unidimensional, and use of the nominal categories model provided additional information at higher values of the underlying construct relative to a simpler binary model. This study contributes to the growing literature supporting the PGSI as the screen of choice for assessing gambling problems in the general population.
Poor South Africans are significantly poorer and have lower employment rates than the subjects of most published research on gambling prevalence and problem gambling. Some existing work suggests relationships between gambling activity (including severity of risk for problem gambling), income, employment status and casino proximity. The objective of the study reported here is to establish the prevalence of gambling, including at risk and pathological gambling, and the profile of gambling activities in two samples of poor South African adults living in a rural and a peri-urban community. A total of 300 (150 male, 150 female) adults in KwaZulu-Natal, South Africa in communities selected using census data, completed the Problem Gambling Severity Index and a survey of socioeconomic and household information, and of gambling knowledge and activity. It was found that gambling was common, and-except for lottery participation-mostly informal or unlicensed. Significant differences between rural and peri-urban populations were found. Peri-urban subjects were slightly less poor, and gambled more and on a different and wider range of activities. Problem and at risk gamblers were disproportionately represented among the more urbanised. Casino proximity appeared largely irrelevant to gambling activity.
We investigate the question whether problem gambling (PG) in a recent South African sample, as measured by the Problem Gambling Severity Index (PGSI), is dimensional or categorical. We use two taxometric procedures, Mean Above Minus Below A Cut (MAMBAC) and Maxim Covariance (MAXCOV), to investigate the taxonic structure of PG as constructed by the PGSI. Data are from the 2010 South African National Urban Prevalence Study of Gambling Behavior. A representative sample of the urban adult population in South Africa (N = 3,000). Responses are to the 9 item PGSI. MAMBAC provided positive but modest evidence that PG as measured by the PGSI was taxonic. MAXCOV pointed more strongly to the same conclusion. These analyses also provide evidence that a PGSI cutoff score of 10 rather than the standard 8 may be called for. PG as constructed by the PGSI may best be thought of as categorical, but further studies with more theory based measurements are needed to determine whether this holds in a wider range of samples and for other screens. A higher cutoff score may be called for on the PGSI when it is used for research purposes to avoid false positives.
We investigate the extent to which problem gambling in a recent South African sample, as measured by the Problem Gambling Severity Index (PGSI), is comorbid with depression, anxiety and substance abuse. Data are from the 2010 South African National Urban Prevalence Study of Gambling Behavior. A representative sample of the urban adult population in South Africa (N = 3,000). Responses to the 9-item PGSI and ratings on the Beck Depression Index, the Beck Anxiety Inventory, and the World Health Organization Alcohol, Smoking and Substance Involvement Screening Tool (WHO ASSIST). Cross tabulations and Chi square analyses along with logistic regression analyses with and without controls for socio-demographic and/or socio-economic variables were used to identify comorbidities. The prevalence of depression, anxiety, alcohol and substance use were clearly higher among the sample at risk for problem gambling. Black African racial status and living in areas characterized by migrant mining workers was associated with increased risk of problem gambling and comorbidities. There is strong evidence that findings of comorbidities between pathological gambling and depression, anxiety and substance abuse in developed countries generalize to the developing country of South Africa. Historical context, however, gives those comorbidities a unique demographic distribution.
The Problem Gambling Severity Index, the scored module of the Canadian Problem Gambling Index, is a population-based survey instrument that is becoming the preferred epidemiological tool for estimating the prevalence of disordered gambling. While some validation evidence for the Problem Gambling Severity Index is available, very little is known about its psychometric characteristics in developing countries or in countries the populations of which are not highly Westernised. The aim of this study was to investigate the validity of the Problem Gambling Severity Index with a specific focus on its criterion-related and construct (concurrent) validity in a community sample of gamblers in South Africa (n = 127). To this end, the Problem Gambling Severity Index was administered alongside the Diagnostic Interview for Gambling Severity and measures known to associate with gambling severity (impulsivity, current debt, social problems, financial loss, race, sex). Results showed that the Problem Gambling Severity Index was predictive of Diagnostic Interview for Gambling Severity diagnosis from both a categorical and dimensional point of view and demonstrated high discrimination accuracy for subjects with problem gambling. Analysis of sensitivity and specificity at different cut-points suggests that a slightly lower Problem Gambling Severity Index score may be used as a screening cut-off for problem gambling among
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.