ArticleBMC public health2019
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.
Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Trends in Lower-Risk Gambling by Age and Net Income among Finnish Men and Women in 2011, 2015, and 2019.Journal of gambling studies · 2025Article
- Geographical Distribution of Betting Shops and Their Proximity to Schools: (Non-)Compliance with Regulations in the City of Madrid.Journal of gambling studies · 2025Article
- Accessibility, neighborhood socioeconomic disadvantage and expenditures on electronic gambling machines: a spatial analysis based on player account data.International journal of health geographics · 2024Article
- Effect of pachinko parlour openings and closings on neighbourhood income-generating crimes in Japan: 6.5 years of observations.BMC public health · 2024Article
- Using geospatial mapping to predict and compare gambling harm hotspots in urban, rural and coastal areas of a large county in England.Journal of public health (Oxford, England) · 2023Article
- Public opinions and attitudes toward a state monopoly: a study of the finnish gambling system.BMC public health · 2023Article
- Socio-Demographic Factors, Gambling Behaviour, and the Level of Gambling Expenditure: A Population-Based Study.Journal of gambling studies · 2022Article
- Gambling Outlets Location in Urban Areas: A Case Study of Madrid.Journal of gambling studies · 2022Article
- Gambling policy positions of Finnish newspapers between 2004 and 2020: An automated content analysis.Nordisk alkohol- & narkotikatidskrift : NAT · 2022Article
- How gambling motives are associated with socio-demographics and gambling behavior - A Finnish population study.Journal of behavioral addictions · 2022Article
- Indigenous Gambling and Problem Gambling in Canada.Journal of gambling studies · 2022Article
- Predictors and patterns of gambling behaviour across the COVID-19 lockdown: Findings from a UK cohort study.Journal of affective disorders · 2022Article
- On the efficiency of Nordic state-controlled gambling companies.Nordisk alkohol- & narkotikatidskrift : NAT · 2021Article
- Interaction of Socioeconomic Status with Risky Internet Use, Gambling and Substance Use in Adolescents from a Structurally Disadvantaged Region in Central Europe.International journal of environmental research and public health · 2020Article
- [The gambling industry: a public health perspective.]Revista espanola de salud publica · 2020Article
- Can gambling-funded research be non-biased? The case of section 52.Nordisk alkohol- & narkotikatidskrift : NAT · 2019Article
- From Clicks to Bets: How Social Media Engagement Influences Gambling Severity-Cross-Sectional Research.Inquiry : a journal of medical care organization, provision and financingArticle
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4 authors.
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Abstract
backgroundElectronic 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).
methodsThe 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.
resultsThe 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.
conclusionsEGMs 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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