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Wardle H, Degenhardt L, Marionneau V, Reith G, Livingstone C, Sparrow M, Tran LT, Biggar B, Bunn C, Farrell M, Kesaite V, Poznyak V, Quan J, Rehm J, Rintoul A, Sharma M, Shiffman J, Siste K, Ukhova D, Volberg R, Salifu Yendork J, Saxena S. The Lancet Public Health Commission on gambling. Lancet Public Health 2024; 9:S2468-2667(24)00167-1. [PMID: 39491880 DOI: 10.1016/s2468-2667(24)00167-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 07/07/2024] [Accepted: 07/16/2024] [Indexed: 11/05/2024]
Affiliation(s)
- Heather Wardle
- School of Social and Political Sciences, University of Glasgow, Glasgow, UK.
| | - Louisa Degenhardt
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - Virve Marionneau
- Centre for Research on Addiction, Control and Governance, University of Helsinki, Helsinki, Finland
| | - Gerda Reith
- School of Social and Political Sciences, University of Glasgow, Glasgow, UK
| | - Charles Livingstone
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Malcolm Sparrow
- Harvard Kennedy School, Harvard University, Cambridge, MA, USA
| | - Lucy T Tran
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - Blair Biggar
- School of Social and Political Sciences, University of Glasgow, Glasgow, UK
| | - Christopher Bunn
- School of Social and Political Sciences, University of Glasgow, Glasgow, UK; Malawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi
| | - Michael Farrell
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - Viktorija Kesaite
- School of Social and Political Sciences, University of Glasgow, Glasgow, UK; Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Vladimir Poznyak
- Alcohol, Drugs and Addictive Behaviours Unit, WHO, Geneva, Switzerland
| | - Jianchao Quan
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jürgen Rehm
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Center for Interdisciplinary Addiction Research, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Angela Rintoul
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Health Innovation and Transformation Centre, Federation University, Churchill, VIC, Australia; Centre for Mental Health and Community Wellbeing, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Manoj Sharma
- Department of Clinical Psychology, Govindaswamy Centre, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
| | - Jeremy Shiffman
- School of Advanced International Studies, Bloomberg School of Public Health, John Hopkins University, Baltimore, MD, USA
| | - Kristiana Siste
- Department of Psychiatry, Faculty of Medicine, Universitas Indonesia-Dr Cipto Mangunkusumo General Hospital, Jakarta, Indonesia
| | - Daria Ukhova
- School of Social and Political Sciences, University of Glasgow, Glasgow, UK
| | - Rachel Volberg
- School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | | | - Shekhar Saxena
- Department of Global Health and Population, Harvard TH Chan School of Public Health, Harvard University, Cambridge, MA, USA
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Raisamo S, Toikka A, Selin J, Heiskanen M. The density of electronic gambling machines and area-level socioeconomic status in Finland: a country with a legal monopoly on gambling and a decentralised system of EGMs. BMC Public Health 2019; 19:1198. [PMID: 31470843 PMCID: PMC6717347 DOI: 10.1186/s12889-019-7535-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 08/22/2019] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Electronic gambling machines (EGMs) are considered a risky form of gambling. Internationally, studies have reported that the density of EGMs tends to be higher in socioeconomically disadvantaged areas than in more advantaged ones. We examined whether this holds true in the Finnish context where a decentralised system of EGMs guarantees wide accessibility to this form of gambling. More precisely, we investigated the association between the density of EGMs and area-level socio-economic status (SES). METHODS The primary measure was the EGM density, referring to the number of EGMs per 1000 adults. The area-level SES was defined on the basis of the median income of inhabitants, the proportion of unemployment in the area and educational attainment (% of those beyond primary education). Three additional area characteristics were used as control variables in the analyses; the overall population density, economic activity (the number of jobs in the area per employed inhabitant), and the mean age of the inhabitants. Analyses were based on linear regression. RESULTS The EGM density was 3.68 per 1000 inhabitants (SD = 2.63). A lower area-level SES was correlated with a higher EGM density. In further analyses, this effect was mostly explained by the income of the inhabitants. Of the control variables, the population density had no detectable effect on the EGM density while areas with a higher mean age of the inhabitants, as well a higher density of jobs, had more EGMs. CONCLUSIONS EGMs are unequally located in Finland, with more EGMs located in socio-economically less advantaged areas. The higher machine density in areas of social disadvantage is not in line with the aim of the Finnish gambling policy, which is to prevent and reduce harm caused by gambling. Changes in policy are required, especially with regard to the decisions on the placement of EGMs. This should not be made solely by gaming operators and/or from fiscal perspectives.
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Affiliation(s)
- Susanna Raisamo
- Department of Public Health Solutions, Alcohol, Drugs and Addictions Unit, National Institute for Health and Welfare, P.O. Box 30, FI-00271 Helsinki, Finland
| | - Arho Toikka
- Faculty of Social Science, University of Helsinki, P. O. Box 54, FI-00014 Helsinki, Finland
| | - Jani Selin
- Department of Public Health Solutions, Alcohol, Drugs and Addictions Unit, National Institute for Health and Welfare, P.O. Box 30, FI-00271 Helsinki, Finland
| | - Maria Heiskanen
- Faculty of Social Science, University of Helsinki, P. O. Box 54, FI-00014 Helsinki, Finland
- Gambling Clinic (The Centre of Excellence on Social Welfare in the Helsinki Metropolitan area), Helsinki, Finland
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The Relationship Between Exclusions from Gambling Arcades and Accessibility: Evidence from a Newly Introduced Exclusion Program in Hesse, Germany. J Gambl Stud 2018; 34:1033-1047. [PMID: 29492760 DOI: 10.1007/s10899-018-9762-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
An exclusion system for gambling arcades has been introduced recently in the state of Hesse. The aim of this paper is to identify significant predictors that are useful in explaining the variation of exclusions between different Hessian communities. Next to socio-demographic factors, we control for three different accessibility variables in two models: the number of electronic gambling machines (EGMs) in model I, and the number of locations and density of gambling machines at a location in model II. We disentangle the association between EGMs and exclusions of model I into a location and a clustering effect. Considering the socio-demographic variables, the explanatory power of our cross-sectional models is rather low. Only the age group of the 30-39 years old and those who are not in a partnership (in model I) yield significant results. As self-exclusion systems reduce availability for the group of vulnerable players, this analysis provides evidence for the assumption that the two groups-pathological gamblers and vulnerable players-seem to have little overlap concerning sociodemographic characteristics. The accessibility variables, on the other hand, turn out to be significantly associated with the number of exclusions. All three of them are statistically significant and their association is positive. The results of model II show that the location effect is more pronounced then the clustering effect of EGMs, i.e. the effect of an additional single-licensed arcade on the number of exclusions is stronger than the increase in the number of license at one location.
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