| Literature DB >> 35958643 |
Eva Samuelsson1,2, Jenny Cisneros Örnberg2.
Abstract
The gambling market is a complex field of conflicting stakeholders and interests involving dimensions, such as economy, health, social inequality and morals. The division of responsibility between gamblers, the gambling industry and the regulating state for limiting the harmful effects of this activity, however, are unclear. The aim of this study was to explore how gamblers in the Swedish market attribute responsibility to various actors within the gambling field. Qualitative interviews were conducted with 37 gamblers experiencing extensive gambling problems. Based on a discourse analytical approach, five ideological dilemmas were identified, highlighting the tension between the, often contradictory, values that the participants need to relate to. On the individual level, the gamblers emphasize their own responsibility for their problem, thereby showing accountability in relation to themselves, their significant others and their peers as agents in recovery. On the corporate- and state levels however, the participants argue for a stronger public health approach, where the gambling companies should take further responsibility by living up to the legal regulations and where the state should ensure compliance and safeguard funding for treatment and research. The essential paradox between the individual responsibility discourse of self-regulation and the prevailing medical discourse of the gambler's incapacity for self-control signifies an impossible equation that imposes feelings of guilt and shame upon an individual who is concurrently considered as both responsible and incapable. In order to reduce harm, the gambling industry must be more proactive with coercive external control measures to fulfill the duty of care they claim to adhere to, and the regulating state must ensure its compliance.Entities:
Keywords: corporate social responsibility; gambling; ideological dilemmas; individual responsibility; interviews (qualitative)
Year: 2022 PMID: 35958643 PMCID: PMC9357876 DOI: 10.3389/fpsyt.2022.953673
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 5.435
Description of participants.
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|---|---|---|
| Gender | ||
| Women | 7 | 19 |
| Men | 30 | 81 |
| Age category | ||
| 24–30 | 7 | 19 |
| 31–40 | 16 | 43 |
| 41–50 | 7 | 19 |
| 51–65 | 7 | 19 |
| Employment status | ||
| Employed | 21 | 57 |
| Student | 5 | 16 |
| Unemployed, retired, on sick leave or social allowance | 11 | 27 |
| Civil status | ||
| Single without children | 11 | 30 |
| Single with children | 5 | 14 |
| Partner without children | 6 | 16 |
| Partner with children | 15 | 40 |
| Years with gambling problems | ||
| 0–5 years | 8 | 22 |
| 6–15 years | 19 | 51 |
| 16–45 years | 10 | 27 |
| Months free from gambling at the time of the interview | ||
| 0 months | 6 | 16 |
| 1–6 months | 19 | 51 |
| 7–19 months | 6 | 16 |
| 20–100 months | 6 | 16 |
| Recruitment | ||
| Self-help groups | 14 | 38 |
| Treatment options | 14 | 38 |
| Social media and internet ads | 9 | 24 |
| Geographical area | ||
| Northern Sweden | 4 | 11 |
| Middle of Sweden | 21 | 57 |
| Southern Sweden | 12 | 32 |
| Areaa | ||
| Large city | 14 | 38 |
| Mid-size town | 13 | 35 |
| Small town | 10 | 27 |
N = 37.
aBased on number of inhabitants in the municipality. Large city < 500,000, Mid-size town 50,000–499,999, Small town > 49,999.
Participants with listed pseudonym, gender, age range and main problematic gambling form.
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|---|---|---|---|
| Alexander | Man | 41–50 | Offline and online casino |
| Amir | Man | 41–50 | Online casino, sports betting |
| Anders | Man | 51–65 | Offline sports betting, number games, EGMs |
| Anna | Woman | 51–65 | Online casino |
| Axel | Man | 31–40 | Sports betting, poker |
| Bengt | Man | 51–65 | Offline and online casino |
| David | Man | 24–30 | Poker, online casino, sports betting |
| Emil | Man | 41–50 | Horse betting |
| Erik | Man | 24–30 | Online skins gambling |
| Fredrik | Man | 31–40 | Offline horse and sports betting |
| Gustav | Man | 24–30 | Online casino, horse and sports betting, EGMs |
| Hans | Man | 31–40 | Online casino, sports betting, EGMs |
| Ivan | Man | 41–50 | Offline casino and card games |
| Jan | Man | 31–40 | Online sports betting |
| Jemal | Man | 41–50 | Offline casino and sports betting |
| John | Man | 31–40 | Online poker, sports betting |
| Karin | Woman | 51–65 | Online casino |
| Karl | Man | 24–30 | Online sports betting |
| Katarina | Woman | 31–40 | Online casino, EGMs |
| Kristina | Woman | 31–40 | Online casino |
| Lars | Man | 51–65 | Online casino, horse betting, lotteries |
| Lena | Woman | 41–50 | Online casino |
| Magnus | Man | 41–50 | Online poker, sports betting |
| Markus | Man | 31–40 | State offline casino |
| Nils | Man | 31–40 | Online casino, sports betting, EGMs |
| Olof | Man | 31–40 | Online and offline casino, poker, EGMs |
| Omar | Man | 31–40 | Offline and online casino, EGMs |
| Oskar | Man | 31–40 | Online poker, sports betting |
| Per | Man | 31–40 | Online casino, poker, horse and sports betting |
| Rickard | Man | 51–65 | Online poker and casino, number games |
| Robert | Man | 31–40 | Offline and online horse and sports betting |
| Robin | Man | 24–30 | Online casino |
| Sara | Woman | 31–40 | Online and offline casino, EGMs |
| Sofia | Woman | 24–30 | Online casino |
| Stefan | Man | 24–30 | Online casino |
| Thomas | Man | 51–65 | Online casino |
| Viktor | Man | 31–40 | Online sports betting |
Figure 1Ideological dilemmas, core values and brief example arguments *Quotes are abbreviated to fit the table while keeping its primary aim.