Consumption of Caffeinated Energy Drinks Among Youth and Young Adults in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The growing market for caffeinated energy drinks (CEDs) has caused concern about excessive caffeine intake and potential adverse effects, particularly among young people. The current study examined patterns of CED consumption among youth and young adults in Canada, using data from a national online survey conducted in October 2014. Data from a non-probability sample of 2040 respondents aged 12-24 from a consumer panel was weighted to national proportions; measures of CED consumption were estimated, including prevalence, excessive daily consumption, and context for use (locations and reasons). Separate logistic regression models for two outcomes, past-week consumption and "ever" exceeding two energy drinks in a day (as per common guidance), were conducted to examine associations with demographic variables (sex, age, geographic region, race/ethnicity, and language). Overall, 73.6% of respondents reported "ever" consuming energy drinks; 15.6% had done so in the past week. Any consumption of energy drinks in the past week was more prevalent among males, Aboriginal respondents (vs. white only or mixed/other), and residents of British Columbia. Among "ever-consumers," 16.0% reported ever consuming more than two energy drinks in a day. Exceeding two in a day was more prevalent among older respondents (young adults aged 18-24), aboriginal respondents (vs. white only), and British Columbia residents. While the majority of youth and young adults had consumed energy drinks, about half were "experimental" consumers (i.e., consumed ≤ 5 drinks in their lifetime). Approximately one in six consumers had exceeded the usual guidance for maximum daily consumption, potentially increasing their risk of experiencing adverse effects.
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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 | 0.000 | 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 it