| Literature DB >> 30580544 |
Christian Nyemcsok1, Samantha L Thomas1, Amy Bestman1, Hannah Pitt1, Mike Daube2, Rebecca Cassidy3.
Abstract
BACKGROUND: There has been an increased international policy focus on the factors that may contribute to, and prevent, the normalization of gambling for young people. However, there is still limited research, which investigates the role of advertising in shaping young people's gambling attitudes and consumption intentions.Entities:
Keywords: advertising; brand recall; children; gambling; sport; television
Mesh:
Year: 2018 PMID: 30580544 PMCID: PMC6376397 DOI: 10.1556/2006.7.2018.128
Source DB: PubMed Journal: J Behav Addict ISSN: 2062-5871 Impact factor: 6.756
General, sporting, and media characteristics
| Gender | Age | Total | |||
|---|---|---|---|---|---|
| Male | Female | 11–12 | 13–16 | ||
| Basketball | 66 (100.0%)* | 42 (93.3%)* | 53 (96.4%) | 55 (98.2%) | 108 (97.3%) |
| AFL | 20 (30.3%)* | 6 (13.3%)* | 14 (25.5%) | 12 (21.4%) | 26 (23.4%) |
| Other | 5 (7.6%)* | 11 (24.4%)* | 14 (25.5%)** | 2 (3.6%)** | 16 (14.4%) |
| Any basketball | 65 (98.5%)* | 38 (84.1%)* | 50 (90.9%) | 53 (94.6%) | 103 (92.8%) |
| NBA | 56 (84.8%)* | 31 (68.9%)* | 43 (78.2%) | 44 (78.6%) | 87 (78.4%) |
| NBL | 50 (75.8%)* | 24 (53.3%)* | 36 (65.5%) | 38 (67.9%) | 74 (66.7%) |
| College | 14 (21.2%)* | 3 (6.7%)* | 0** | 17 (30.4%)** | 17 (15.3%) |
| Other | 14 (21.2%) | 14 (31.1%) | 11 (20.0%) | 17 (30.4%)** | 28 (25.2%) |
| Subscription TV | 30 (45.5%) | 17 (37.8%) | 25 (45.5%) | 22 (39.3%) | 47 (42.3%) |
| Free to air TV | 18 (27.3%) | 18 (40.0%) | 21 (38.2%) | 15 (26.8%) | 36 (32.4%) |
| YouTube | 17 (25.8%) | 9 (20.0%) | 12 (21.8%) | 14 (25.0%) | 26 (23.4%) |
| Websites | 16 (24.2%)* | 1 (2.2%)* | 4 (7.3%)** | 13 (23.2%)** | 17 (15.3%) |
| NBA leagueb | 9 (13.6%)* | 1 (2.2%)* | 4 (7.3%) | 6 (10.7%) | 10 (9.0%) |
| Go to game | 5 (7.6%) | 3 (6.7%) | 3 (5.5%) | 5 (8.9%) | 8 (7.2%) |
| Other | 6 (9.1%) | 2 (4.4%) | 4 (7.3%) | 4 (7.1%) | 8 (7.2%) |
Note. n: number of participants; %: column percentages; AFL: Australian Football League; NBA: National Basketball Association; NBL: National Basketball League.
aParticipants could select more than one response. bNBA league includes NBA league pass or streaming direct from NBA apps.
*Significance between genders at 0.05. **Significance between age groups at 0.05.
Sports betting brand recall
| Gender | Age | Total ( | |||
|---|---|---|---|---|---|
| Male ( | Female ( | 11–12 ( | 13–16 ( | ||
| 0 | 8 (12.1%) | 13 (28.9%) | 14 (25.5%) | 7 (12.5%) | 21 (18.9%) |
| 1 | 20 (30.3%) | 23 (51.1%) | 18 (32.7%) | 25 (44.6%) | 43 (38.7%) |
| 2+ | 38 (57.6%) | 9 (20.0%) | 23 (41.8%) | 24 (42.9%) | 47 (42.3%) |
| Sportsbet | 31 (47.0%) | 20 (44.4%) | 25 (45.5%) | 26 (46.4%) | 51 (45.9%) |
| TAB | 6 (9.1%) | 8 (17.8%) | 5 (9.1%) | 9 (16.1%) | 14 (12.6%) |
| Ladbrokes | 13 (19.7%) | 1 (2.2%) | 5 (9.1%) | 9 (16.1%) | 14 (12.6%) |
| Bet365 | 3 (4.5%) | 0 | 2 (3.6%) | 1 (1.8%) | 3 (2.7%) |
| Crownbet | 1 (1.5%) | 2 (4.4%) | 3 (5.5%) | 0 | 3 (2.7%) |
| Neds | 2 (3.0%) | 1 (2.2%) | 1 (1.8%) | 2 (3.6%) | 3 (2.7%) |
| Unibet | 2 (3.0%) | 0 | 0 | 2 (3.6%) | 2 (1.8%) |
| None | 8 (12.1%) | 13 (28.9%) | 14 (25.5%) | 7 (12.5%) | 21 (18.9%) |
| Sportsbet | 42 (63.6%) | 22 (48.9%) | 31 (56.4%) | 33 (58.9%) | 64 (57.7%) |
| TAB | 18 (27.3%) | 10 (22.2%) | 11 (20.0%) | 17 (30.4%) | 28 (25.2%) |
| Ladbrokes | 23 (34.8%) | 2 (4.4%) | 9 (16.4%) | 16 (28.6%) | 25 (22.5%) |
| Crownbet | 13 (19.7%) | 6 (13.3%) | 13 (23.6%) | 6 (10.7%) | 19 (17.1%) |
| Bet365 | 10 (15.2%) | 0 | 4 (7.3%) | 6 (10.7%) | 10 (9.0%) |
| Neds | 5 (7.6%) | 2 (4.4%) | 3 (5.5%) | 4 (7.1%) | 7 (6.3%) |
| Unibet | 3 (4.5%) | 0 | 0 | 3 (5.4%) | 3 (2.7%) |
| Ubet | 2 (3.0%) | 0 | 1 (1.8%) | 1 (1.8%) | 2 (1.8%) |
| William Hill | 2 (3.0%) | 0 | 1 (1.8%) | 1 (1.8%) | 2 (1.8%) |
| Other | 2 (3.0%) | 0 | 0 | 2 (3.6%) | 2 (1.8%) |
Note. n: number of participants; %: column percentages.
Participants could select more than one response.
Significance between genders at 0.05.
Sports betting brand awareness
| Gender | Age | Total ( | |||
|---|---|---|---|---|---|
| Male ( | Female ( | 11–12 ( | 13–16 ( | ||
| 0 | 5 (7.6%) | 4 (8.9%) | 5 (9.1%) | 4 (7.1%) | 9 (8.1%) |
| 1–2 | 31 (47.0%) | 31 (68.9%) | 31 (56.4%) | 31 (55.4%) | 62 (55.9%) |
| 3 or more | 30 (45.5%) | 10 (22.2%) | 19 (34.5%) | 21 (37.5%) | 40 (36.0%) |
| 0 | 17 (25.8%) | 13 (28.9%) | 16 (29.1%) | 14 (25.0%) | 30 (27.0%) |
| 1–2 | 29 (43.9%) | 26 (57.8%) | 25 (45.5%) | 30 (53.6%) | 55 (49.5%) |
| 3 or more | 20 (30.3%) | 6 (13.3%) | 14 (25.5%) | 12 (21.4%) | 26 (23.4%) |
Note. n: number of participants; %: column percentages.
Most influential promotional strategies in encouraging individuals to gamble
| Individual responses for each promotion | Gender | Age | Total ( | ||
|---|---|---|---|---|---|
| Male ( | Female ( | 11–12 ( | 13–16 ( | ||
| Money back | 29 (43.9%) | 18 (40.0%) | 19 (34.5%) | 28 (50.0%) | 47 (42.3%) |
| Sign-up offer | 8 (12.1%) | 12 (26.7%) | 13 (23.6%) | 7 (12.5%) | 20 (18.0%) |
| Celebrity endorsement | 10 (15.2%) | 5 (11.1%) | 5 (9.1%) | 10 (17.9%) | 15 (13.5%) |
| Bonus bet | 7 (10.6%) | 6 (13.3%) | 6 (10.9%) | 7 (12.5%) | 13 (11.7%) |
| Cash out | 8 (12.1%) | 3 (6.7%) | 9 (16.4%) | 2 (3.6%) | 11 (9.9%) |
| Bet now | 1 (1.5%) | 0 | 0 | 1 (1.8%) | 1 (0.9%) |
| None | 3 (4.5%) | 1 (2.2%) | 3 (5.5%) | 1 (1.8%) | 4 (3.6%) |
Note. n: number of participants; %: column percentages.
Intentions to gamble
| Gender | Age | Total ( | |||
|---|---|---|---|---|---|
| Male ( | Female ( | 11–12 ( | 13–16 ( | ||
| Yes | 22 (33.3%) | 3 (6.7%) | 9 (16.4%) | 16 (28.6%) | 25 (22.5%) |
| No | 44 (66.7%) | 42 (93.3%) | 46 (83.6%) | 40 (71.4%) | 86 (77.5%) |
| AFL | 33 (50.0%) | 24 (53.3%) | 29 (52.7%) | 28 (50.0%) | 57 (51.4%) |
| Basketball | 34 (51.5%) | 15 (33.3%) | 26 (47.3%) | 23 (41.1%) | 49 (44.1%) |
| Horseracing | 9 (13.6%) | 5 (11.1%) | 4 (7.3%) | 10 (17.9%) | 14 (12.6%) |
| Other | 1 (1.5%) | 2 (4.4%) | 2 (3.6%) | 1 (1.8%) | 3 (2.7%) |
| None | 2 (3.0%) | 3 (6.7%) | 4 (7.3%) | 1 (1.8%) | 5 (4.5%) |
Note. n: number of participants; %: column percentages.
Participants could select more than one response.