| Literature DB >> 25516167 |
Jo Cranwell1, Rachael Murray, Sarah Lewis, Jo Leonardi-Bee, Martin Dockrell, John Britton.
Abstract
AIMS: To quantify tobacco and alcohol content, including branding, in popular contemporary YouTube music videos; and measure adolescent exposure to such content.Entities:
Keywords: Adolescent exposure; YouTube; alcohol; music videos; new media; tobacco
Mesh:
Year: 2015 PMID: 25516167 PMCID: PMC4402034 DOI: 10.1111/add.12835
Source DB: PubMed Journal: Addiction ISSN: 0965-2140 Impact factor: 6.526
Alcohol, tobacco or electronic cigarette content of videos by genre.
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| Pop | 56 | (51%) | 22 | (20%) | 225 | 8 | (7%) | 24 | 1 | (1%) | 6 |
| Electronic | 4 | (4%) | 2 | (2%) | 9 | 3 | (3%) | 19 | 0 | (0%) | 0 |
| Hip‐hop/Rap | 12 | (11%) | 7 | (6%) | 58 | 4 | (4%) | 8 | 1 | (1%) | 15 |
| Dance | 11 | (10%) | 7 | (6%) | 24 | 1 | (1%) | 1 | 0 | (0%) | 0 |
| Alternative | 7 | (6%) | 5 | (5%) | 27 | 5 | (5%) | 27 | 0 | (0%) | 0 |
| House | 4 | (4%) | 2 | (2%) | 18 | 1 | (1%) | 2 | 0 | (0%) | 0 |
| R&B/Soul | 1 | (1%) | 1 | (1%) | 4 | 1 | (1%) | 1 | 0 | (0%) | 0 |
| Soundtrack | 3 | (3%) | 1 | (1%) | 1 | 0 | (0%) | 0 | 0 | (0%) | 0 |
| Charity | 2 | (2%) | 0 | (0%) | 0 | 0 | (0%) | 0 | 0 | (0%) | 0 |
| Rock | 4 | (4%) | 1 | (1%) | 1 | 1 | (1%) | 1 | 0 | (0%) | 0 |
| Singer/ songwriter | 2 | (2%) | 0 | (0%) | 0 | 0 | (0%) | 0 | 0 | (0%) | 0 |
| Country | 1 | (1%) | 0 | (0%) | 0 | 0 | (0%) | 0 | 0 | (0%) | 0 |
| Total | 110 | (100%) | 49 | (45%) | 376 | 24 | (22%) | 83 | 2 | (2%) | 21 |
| (95 % CI = 33–51%) | (95% CI = 13–27%) | (95% CI = 0–4%) | |||||||||
CI = confidence interval.
Figure 1Detail of alcohol content in videos (para = paraphernalia, implied = implied use)
Figure 2Detail of tobacco content of videos (para = paraphernalia, implied = implied use)
Music video viewing by age and gender.
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| Boys 11–15 years | 5.7 (5.2, 6.2) | 468 | 72% (69%, 76%) | 4.7 (4.2,5.2) | 396 | 85% (81%, 88%) |
| Boys 16–18 years | 4.6 (4.1, 5.2) | 300 | 72% (68%, 76%) | 3.6 (3.1, 4.1) | 247 | 82% (78%, 87%) |
| Girls 11–15 years | 8.8 (8.2, 9.4) | 549 | 89% (87%, 92%) | 6.1 (5.6, 6.7) | 502 | 91% 89%, 94%) |
| Girls 16–18 years | 9.2 (8.5, 10) | 358 | 92% (89%, 94%) | 6.1 (5.5, 6.7) | 310 | 87% (83%, 90%) |
| Total | 7.1 (6.8, 7.4) | 1675 | 81% (79%, 83%) | 5.3 (5, 5.6) | 1455 | 87% (85%, 89%) |
Figure 3Proportion of adolescents aged 11–18 years who had watched the 32 most popular music videos