| Literature DB >> 28103937 |
Emily G Deans1, Samantha L Thomas2, Jeffrey Derevensky3, Mike Daube4.
Abstract
BACKGROUND: Gambling can cause significant health and social harms for individuals, their families, and communities. While many studies have explored the individual factors that may lead to and minimise harmful gambling, there is still limited knowledge about the broader range of factors that may contribute to gambling harm. There are significant regulations to prevent the marketing of some forms of gambling but comparatively limited regulations relating to the marketing of newer forms of online gambling such as sports betting. There is a need for better information about how marketing strategies may be shaping betting attitudes and behaviours and the range of policy and regulatory responses that may help to prevent the risky or harmful consumption of these products.Entities:
Keywords: Betting; Harm reduction; Marketing; Normalisation; Sports; Young men
Mesh:
Year: 2017 PMID: 28103937 PMCID: PMC5247806 DOI: 10.1186/s12954-017-0131-8
Source DB: PubMed Journal: Harm Reduct J ISSN: 1477-7517
General characteristics
| Characteristics |
|
|---|---|
| Age Range | 20–37 years (mean 28 years, SD 4) |
| Occupation | |
| Technicians and trade workers | 15 (30%) |
| Professionals | 14 (28%) |
| Community and personal service workers | 7 (14%) |
| Sales workers | 5 (10%) |
| Managers | 4 (8%) |
| Labourers | 2 (4%) |
| Clerical and administrative workers | 2 (4%) |
| Unemployed | 1 (2%) |
| Highest level of education | |
| University | 29 (58%) |
| Secondary | 11 (22%) |
| TAFE | 10 (20%) |
| SEIFA DECILE | |
| 8–10 | 22 (44%) |
| 4–7 | 24 (48%) |
| 1–3 | 4 (8%) |
| PGSI | |
| 0 (non-problem gambling) | 12 (24%) |
| 1–2 (low level of problems) | 17 (34%) |
| 3–7 (moderate level of problems) | 17 (34%) |
| 8+ (problem gambling) | 4 (8%) |
Reported marketing channels for sports betting
| Marketing channels (non-gambling environments) |
|
| TV (during sports broadcasts, Footy Show) | 50 (100%) |
| Online (pop-up banners) | 25 (50%) |
| Social media (Facebook, Twitter, YouTube) | 18 (36%) |
| Radio | 15 (30%) |
| Sports stadiums/infield | 11 (22%) |
| Newspaper | 11 (22%) |
| Billboards | 10 (20%) |
| Team Jerseys | 7 (14%) |
| Magazines | 2 (4%) |
| Public transport | 2 (4%) |
| Marketing channels (gambling environments) |
|
| Pub/sports bar | 11 (22%) |
| Mobile (push notifications/apps) | 8 (16%) |
| TAB | 4 (8%) |
| RSL/club | 3 (6%) |
Fig. 1Marketing strategies that may shift the cultural meanings associated with gambling and sports. Legend: Theoretical model of how marketing strategies may influence a shift in the cultural meanings associated with gambling and sports, as well as the distinct promotional factors that may influence gambling consumption behaviours