Exposure to Caffeinated Energy Drink Marketing and Educational Messages among Youth and Young Adults in Canada
Bibliographic record
Abstract
The objective of the current study was to evaluate young Canadians’ exposure to caffeinated energy drink marketing and educational messages that warn about the potential health risks of energy drinks. An online survey was conducted in 2015 with youth and young adults aged 12–24 years recruited from a national online panel (n = 2023). Respondents were asked about their exposure to energy drink marketing and educational messages that warn about the potential health risks of energy drinks. Regression models were fitted to examine correlates of exposure to marketing and to educational messages. Over 80% of respondents reported ever seeing energy drink marketing through at least one channel, most commonly television (58.8%), posters or signs in a convenience or grocery store (48.5%), and online ads (45.7%). The mean number of marketing channels selected was 3.4 (SD = 2.9) out of ten. Respondents aged 18–19 (vs. 12–14 and 15–17) and 20–24 (vs. 12–14 and 15–17) reported significantly more channels of exposure to marketing. Overall, 32% of respondents reporting ever seeing an educational message about energy drinks. The most frequently reported sources of exposure were at school (16.2%), online (15.0%), and on television (12.6%). Respondents aged 18–19 (vs. 12–14, 15–17 and 20–24) and 20–24 (vs. 15–17) were significantly more likely to report having seen an educational message. Exposure to energy drink marketing was common among youth and young adults and was significantly more prevalent than exposure to educational messages that warn about the potential health risks of energy drinks. A comprehensive policy approach, including enforcing responsible marketing and increasing education surrounding the risks of consuming energy drinks, may be an effective approach in promoting lower-risk consumption of CEDs.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".