Gender by Preferred Gambling Activity in Treatment Seeking Problem Gamblers: A Comparison of Subgroup Characteristics and Treatment Outcomes.

Abstract

Problem gambling is a growing public health concern and treatment incompletion levels remain high. The study aims to support and extend previous studies in relation to the heterogeneity of the gambling population based on gender and gambling type, and the implications of subgroup differences on treatment outcomes. Additionally, the concept of drop-out is addressed in terms of categorical treatment measures. The empirical findings are examined in the context of the theoretical framework of the pathways model. Participants were recruited from the Statewide Gambling Therapy Service and stratified into subgroups based on gender and gambling mode preference [Electronic Gambling Machines (EGM) or track race betters]. Baseline predictors collected and analysed using multinomial logistical regression included demographic information as well as gambling variables, while treatment outcomes consisted of three therapist rated measures. Significant differences between the subgroups were found for age, marital and employment status, gambling duration, alcohol use and the Kessler 10 measure of psychological distress. Specifically, male track race gamblers were younger, married, employed, had a longer duration of gambling, higher alcohol use and lower psychological distress relative to EGM users. No difference was found in any of the treatment outcomes, however, consistent with previous studies, all subgroups had high treatment incompletion levels. The findings demonstrate the importance of screening, assessing and treating problem gamblers as a heterogeneous group with different underlying demographics and psychopathologies. It is also hoped future studies will continue to address treatment incompletion with a re-conceptualisation of the term drop-out.

• Authors: Yasmin Khanbhai, David Smith, Malcolm Battersby
• Journal: Journal of gambling studies (J Gambl Stud) Vol. 33 Issue 1 Pg. 99-113 (Mar 2017) ISSN: 1573-3602 [Electronic] United States
• PMID: 27113730 (Publication Type: Comparative Study, Journal Article)

Topics

• Adult
• Age Distribution
• Age Factors
• Employment
• Female
• Gambling (classification, psychology, therapy)
• Humans
• Logistic Models
• Male
• Middle Aged
• Patient Acceptance of Health Care (psychology, statistics & numerical data)
• Sex Distribution
• Sex Factors
• Treatment Outcome
• Young Adult