| Literature DB >> 30340584 |
Samantha L Thomas1, Amy Bestman2, Hannah Pitt2, Rebecca Cassidy3, Simone McCarthy2, Christian Nyemcsok2, Sean Cowlishaw4,5, Mike Daube6.
Abstract
BACKGROUND: Research has demonstrated that the promotion of gambling, particularly within sport, may have a significant impact on positively shaping young people's attitudes towards gambling. While some governments have implemented restrictions to limit young people's exposure to gambling advertising, few studies have investigated where young people recall seeing gambling advertising, and whether they perceive that advertising restrictions have gone far enough in reducing exposure to these promotions.Entities:
Keywords: Advertising; Children; Gambling; Social media; Sport; Television
Mesh:
Year: 2018 PMID: 30340584 PMCID: PMC6194705 DOI: 10.1186/s12954-018-0254-6
Source DB: PubMed Journal: Harm Reduct J ISSN: 1477-7517
Socio-demographic characteristics
| Characteristic | |
|---|---|
| Age | |
| 11–12 years | 55 (49.5) |
| 13–14 years | 39 (35.1) |
| 15–16 years | 17 (15.3) |
| Gender | |
| Male | 66 (59.5) |
| Female | 45 (40.5) |
| SEIFA | |
| Low (scores 1–3) | 18 (16.2) |
| Middle (scores 4–7) | 64 (57.7) |
| High (scores 8–10) | 28 (25.2) |
| Not provided | 1 (0.9) |
Sports engagement and media viewing characteristics
| Gender | Age | Total ( | |||
|---|---|---|---|---|---|
| Male ( | Female ( | 11–12 ( | 13–16 ( | ||
| Sport played, | |||||
| 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) |
| Type of basketball watched, | |||||
| Any basketball | 65 (98.5)* | 38 (84.4)* | 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) |
| Basketball viewing (Media and live platforms), | |||||
| 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 league+ | 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) |
| Social media used to follow basketball, | |||||
| Total | 40 (60.6) | 23 (51.1) | 24 (43.6) ^ | 39 (69.6) ^ | 63 (56.8) |
| 36 (54.5) | 22 (48.9) | 19 (34.5) ^ | 39 (69.6) ^ | 58 (52.3) | |
| YouTube | 21 (31.8)* | 3 (6.7)* | 9 (16.4) | 15 (26.8) | 24 (21.6) |
| Snapchat | 19 (28.8)* | 5 (11.1)* | 6 (10.9) ^ | 18 (32.1)^ | 24 (21.6) |
| Website | 6 (9.1) | 1 (2.2) | 3 (5.5) | 4 (7.1) | 7 (6.3) |
| 2 (3.0) | 3 (6.7) | 1 (1.8) | 4 (7.1) | 5 (4.5) | |
| 1 (1.5) | 0 | 0 | 1 (1.8) | 1 (0.9) | |
| Other | 5 (7.6) | 1 (2.2) | 1 (1.8) | 5 (8.9) | 6 (5.4) |
n = Number of participants, % = Column percentages
*Significance between genders at 0.05
^Significance between age groups at 0.05
+NBA league includes NBA league pass or streaming direct from NBA apps
Recall of the placement and timing of gambling advertising on media channels
| Gender | Age | Total ( | |||
|---|---|---|---|---|---|
| Male ( | Female ( | 11–12 ( | 13–16 ( | ||
| Recall of the placement of gambling advertising, | |||||
| Television | 58 (87.9) | 43 (95.6) | 50 (90.9) | 51 (91.1) | 101 (91.0) |
| YouTube | 25 (37.9) | 15 (33.3) | 17 (30.9) | 23 (41.1) | 40 (36.0) |
| 10 (15.2) | 4 (8.9) | 4 (7.3) | 10 (17.9) | 14 (12.6) | |
| Website | 8 (12.1) | 2 (4.4) | 4 (7.3) | 6 (10.7) | 10 (9.0) |
| Snapchat | 4 (6.1) | 1 (2.2) | 0^ | 5 (8.9) ^ | 5 (4.5) |
| At game | 3 (4.5) | 2 (4.4) | 2 (3.6) | 3 (5.4) | 5 (4.5) |
| 3 (4.5) | 1 (2.2) | 1 (1.8) | 3 (5.4) | 4 (3.6) | |
| A team app | 2 (3.0) | 0 | 2 (3.6) | 0 | 2 (1.8) |
| Other | 3 (4.5) | 3 (6.7) | 3 (5.5) | 3 (5.4) | 6 (5.4) |
| Time of day recalled seeing gambling advertising (in television programs), | |||||
| Morning | 9 (13.6)* | 1 (2.2)* | 5 (9.1) | 5 (8.9) | 10 (9.0) |
| Afternoon | 15 (22.7) | 11 (24.4) | 16 (29.1) | 10 (17.9) | 26 (23.4) |
| Early evening (before 8.30 pm) | 42 (63.6) | 33 (73.3) | 36 (65.5) | 39 (69.6) | 75 (67.6) |
| Evening (after 8.30 pm) | 28 (42.4) | 22 (48.9) | 22 (40.0) | 28 (50.0) | 50 (45.0) |
n = Number of participants, % = Column percentages
*Significance between genders at 0.05
^Significance between age groups at 0.05