Adolescents’ media usage and self-reported exposure to advertising across six countries: implications for less healthy food and beverage marketing
Bibliographic record
Abstract
OBJECTIVES: The study objectives were to examine: (1) adolescents' media viewing habits, (2) associations with media viewing and self-reported exposure to unhealthy food and beverage advertising and (3) differences in trends among younger and older adolescents in six high and upper middle-income countries. DESIGN: Repeat cross-sectional online survey. SETTING: Australia, Canada, Chile, Mexico, the United Kingdom (UK) and the United States of America (USA). PARTICIPANTS: Respondents to the International Food Policy Study who provided information on all variables of interest in November-December 2019 aged 10-17 years (n=9171). OUTCOME MEASURES: Self-reported exposure to screen-based media (screen time by media channel), use of social media platforms and self-reported location and frequency of exposure to unhealthy food and beverage advertising. RESULTS: The average amount of time spent in front of various screens ranged from 7.6 hours to 10.2 hours across countries per week day, which may include possible viewing of multiple media channels simultaneously. Overall, Instagram was the most popular social media platform (52%-68% by country), followed by Facebook (42%-79%) and Snapchat (28%-52%). The percentage of respondents who self-reported having seen unhealthy food advertisements in the past 30 days was highest on television (43%-69%), followed by digital media (27%-60%) and gaming applications (10%-17%). Self-reported daily exposure to advertising varied between countries for sugary drinks (10%-43%) and fast food (19%-44%) and was positively associated with self-reported screen time. Self-reported exposure to screen-based media and social media platforms differed by sociodemographic characteristics and was higher among older adolescents than younger adolescents. CONCLUSIONS: The important amount of time spent on screen-based media reported by adolescents and large percentage of adolescents reporting social media usage, coupled with high rates of self-reported advertising exposure, support the need for policies to restrict marketing of unhealthy food and beverages appealing to adolescents on screen-based media.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".