The consumption of alcohol mixed with energy drinks: prevalence and key correlates among Canadian high school students
Bibliographic record
Abstract
BACKGROUND: An emerging body of research has reported high consumption of alcohol mixed with energy drinks among young adults, particularly college students. However, little is known about adolescents' consumption of these drinks. The purpose of this study was to determine the prevalence of consumption of alcohol mixed with energy drinks and to examine its correlates among Canadian high school students. METHODS: We used a nationally representative sample of 36 155 Canadian students in grades 7 to 12 who participated in the 2010/2011 Youth Smoking Survey. RESULTS: About 20% of Canadian high school students reported consuming alcohol mixed with energy drinks in the last year, with considerable variation across provinces. Multivariate logistic regression analyses showed that the odds of consumption of these drinks were higher among students in lower grades (grades 7 and 8) and among students who identified their ethnicity as black or "other." Consumption of alcohol mixed with energy drinks was positively associated with substance use (current smoking [adjusted odds ratio (OR) 1.52, 95% confidence interval (CI) 1.19-1.95], past-year heavy drinking [adjusted OR 3.41, 95% CI 2.84-4.09] and marijuana use [adjusted OR 2.29, 95% CI 1.90-2.76]), absence from school, participation in school team sports and having more weekly spending money. Students who felt more connected to school and had an academic average of 70% or higher were less likely to consume alcohol mixed with energy drinks. INTERPRETATION: The consumption of alcohol mixed with energy drinks is an emerging public health concern. Consumption of these drinks is substantial among Canadian high school students and can lead to many potential harms, both acute (e.g., injury) and long term (e.g., increased alcohol dependence). Our findings highlight the need for further research into the long-term effects of consumption of alcohol mixed with energy drinks among young people, as well as the development of interventions aimed at reducing consumption of these drinks.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".