Calling time on low-risk drinking guidelines: An evaluation of alternative methods to communicate risks of alcohol use to consumers
Bibliographic record
Abstract
BACKGROUND: Current epidemiological analyses suggest there is no risk-free level of alcohol consumption. Awareness remains low and consumption levels high. There is limited research on the types of alcohol warning label (AWL) messages to address this concern. AIMS: We tested alternative AWL messages with young adults to identify effective methods of communicating Canada's 2023 Guidance on Alcohol and Health. METHODS: We recruited 332 young adults attending two Canadian universities who drank at least monthly. Participants' knowledge of health risks from alcohol was assessed. Six AWLs were developed to communicate (a) traditional "low risk" limits, (b) alcohol's cancer risk, (c) guidelines to keep mortality risk below 1 %, (d) reduced life expectancy in minutes per drink, (e) reduced life expectancy in months or (f) a "drink less" message. AWLs were rated for impact on purchasing, clarity, discomfort and degree of annoyance caused. Mixed regression was used to analyse the rated scores all compared with a control message which recommended consumers drink responsibly. T-tests were used to test for significance between the impact ratings of the AWLs. The AWLs were also discussed by a focus group. RESULTS: Participants correctly identified liver cirrhosis (93.37 %) and pancreatitis (85.84 %) as caused by alcohol, fewer identified throat (38.25 %) or breast cancer (24.70 %). All six experimental AWLs were rated as significantly more impactful on purchasing behaviour than the control. The highest mean ratings were received for the 'Cancer Risk' (3.09, 95 % CIs: 2.95-3.25), the '5 Minutes of Life Lost per Drink' (3.01, 95 % CIs: 2.87-3.16) and 'Three Months of Life Lost' (2.96, 95 % CIs: 2.82-3.11) AWLs. Traditional drinking guideline messages and a '1 % mortality risk' message performed relatively poorly. These results were confirmed by qualitative analysis of the focus group discussion. CONCLUSIONS: Health communications, including AWLs, may be more effective if they highlight specific, tangible risks from alcohol consumption such as cancer and potential impacts on life expectancy.
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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 | 0.009 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".