| Literature DB >> 35126239 |
Virve Marionneau1, Johanna Järvinen-Tassopoulos2.
Abstract
Electronic gambling machines (EGMs) are among the most harmful forms of gambling. The structural characteristics of EGMs prolong and reinforce gambling similarly to other habit-forming technologies. In Finland, the wide availability of EGMs in non-casino locations is likely to further reinforce the habit-creating nature of gambling offer by incorporating EGMs into everyday practices. The COVID-19 pandemic changed the landscape of gambling in Finland. The most visible change was the closure of land-based EGMs in non-casino environments, arcades, and the casino in March 2020. Since then, the status of EGMs has varied depending on the pandemic situation. The current qualitative study focuses on how Finnish past-year gamblers experience prolonged EGM closures and occasional re-openings 1 year into the pandemic. The data consist of responses to an online questionnaire eliciting experiences (N = 187) as well as interviews (N = 27, conducted in groups or alone). To aid our analysis, we employ the sociological pragmatist theory of the concept of "habit." The analysis focuses on gambler experiences on EGM shutdowns and re-openings, and views on whether closures have contributed to abstaining from gambling or to shifting to other gambling products. Policy implications of the results are discussed.Entities:
Keywords: COVID-19; EGMs; Finland; gambling; habit
Year: 2022 PMID: 35126239 PMCID: PMC8811210 DOI: 10.3389/fpsyg.2021.788586
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Sample characteristics of online questionnaire respondents (N = 187).
| Sample characteristics | N | Percentage (%) |
| Gender | ||
| Female | 94 | 50.3 |
| Male | 92 | 49.2 |
| Prefer not to say | 1 | 0.5 |
| Language | ||
| Finnish | 184 | 98.4 |
| Swedish | 3 | 1.6 |
| Age | ||
| 15–17 | 1 | 0.5 |
| 18–24 | 15 | 8.0 |
| 25–34 | 21 | 11.2 |
| 35–49 | 69 | 36.9 |
| 50–64 | 55 | 29.4 |
| 65–74 | 21 | 11.2 |
| Over 74 | 5 | 2.7 |
| Education level | ||
| Secondary school | 14 | 7.5 |
| High school or equivalent | 86 | 46.0 |
| University diploma | 87 | 46.5 |
| Region of residence | ||
| Helsinki metropolitan area | 14 | 7.5 |
| Other southern Finland | 56 | 29.9 |
| Western Finland | 52 | 27.8 |
| Eastern Finland | 47 | 25.1 |
| Northern Finland and Lapland | 18 | 9.6 |
Characteristics and identifiers of interviewees.
| Interviewee | Gambler type (self-identified) | Gender | Age group | Region of residence |
| G1-P1 | Recreational | Male | 30–65 | Southern Finland |
| G1-P2 | Recreational | Male | 30–65 | Northern Finland |
| G1-P3 | Recreational | Male | 30–65 | Helsinki metropolitan area |
| G2-P1 | Problem | Male | 30–65 | Southern Finland |
| G2-P2 | Problem | Male | 30–65 | Western Finland |
| G2-P3 | Problem | Female | 65 + | Western Finland |
| G3-P1 | Problem | Male | 30–65 | Eastern Finland |
| G3-P2 | Problem | Female | 30–65 | Southern Finland |
| G3-P3 | Problem | Female | 30–65 | Western Finland |
| G3-P4 | Problem | Female | 30–65 | Helsinki metropolitan area |
| G3-P5 | Problem | Female | 30–65 | Eastern Finland |
| G4- P1 | Problem | Female | 30–65 | Western Finland |
| G4-P2 | Problem | Female | 30–65 | Helsinki metropolitan area |
| G4-P3 | Problem | Female | 30–65 | Southern Finland |
| G4-P4 | Problem | Female | 18–29 | Southern Finland |
| G6-P1 | Recreational | Male | 30–65 | Western Finland |
| G6-P2 | Recreational | Male | 30–65 | Western Finland |
| G7-P1 | Problem | Male | 30–65 | Northern Finland |
| G7-P2 | Problem | Male | 30–65 | Northern Finland |
| G7-P3 | Problem | Male | 30–65 | Southern Finland |
| G7-P4 | Problem | Male | 65 + | Eastern Finland |
| G8-P1 | Problem | Female | 30–65 | Eastern Finland |
| G8-P2 | Problem | Female | 30–65 | Southern Finland |
| G8-P3 | Problem | Female | 65 + | Western Finland |
| I1 | Problem | Female | 30–65 | Northwest Finland |
| I2 | Problem | Male | 30–65 | Central Finland |
| I3 | Problem | Male | 18–29 | Southeast Finland |
Categorisation matrix.
| Main categories | Questions | Sub-categories |
| Closures | What was the impact of EGM closures on gambling behaviour and habits? Why? | No impact, stopping gambling, relief, annoyance, positive health or financial outcomes |
| Re-openings | What happened when the EGMs were re-opened? Why? | No impact, recommencing gambling, gambling less than before, gambling more than before |
| Maintained habits | Will changed habits be maintained after the pandemic? Why? | Maintaining non-gambling on EGMs, maintaining new gambling habits (shifts) |
| Shifting habits | Did EGM gamblers shift to other gambling products during or after closures? Why? | No shifts, shifts to online products, shifts to other non-closed land-based products |
FIGURE 1Analytical summary of the effects of experiences on EGM availability during COVID-19.