Differential impact of minimum unit pricing on alcohol consumption between Scottish men and women: controlled interrupted time series analysis
Bibliographic record
Abstract
OBJECTIVE: To assess the immediate impact of the introduction of minimum unit pricing (MUP) in Scotland on alcohol consumption and whether the impact differed by sex, level of alcohol consumption, age, social grade and level of residential deprivation of respondents. DESIGN: Primary controlled interrupted time series analysis and secondary before-and-after analysis of the impact of introducing MUP in Scotland using alcohol consumption data for England as control. SETTING: Data from Kantar Worldpanel's Alcovision survey, a continuous retrospective online timeline follow-back diary survey of the previous week's alcohol consumption. PARTICIPANTS: 53 347 women and 53 143 men. INTERVENTIONS: Introduction of a minimum price of 50 pence per UK unit (6.25 pence/g) for the sale of alcohol in Scotland on 1 May 2018. MAIN OUTCOME MEASURES: Number of grams of alcohol consumed per week, in total, in off-trade (eg, at home) and in on-trade (eg, in pubs, restaurants). RESULTS: Primary interrupted time series analyses found that the introduction of MUP was associated with a drop in reported weekly total alcohol consumption of 5.94 g (95% CI 1.29 to 10.60), a drop in off-trade consumption of 3.27 g (95% CI -0.01 to 6.56) and a drop in on-trade consumption of 2.67 g (95% CI -1.48 to 6.82). Associated reductions were larger for women than for men and were greater among heavier drinkers than for lighter drinkers, except for the 5% of heaviest drinking men for whom an associated increase in consumption was found. Secondary before-and-after analyses found that reductions in consumption were greater among older respondents and those living in less deprived areas. The introduction of MUP was not associated with a reduction in consumption among younger men and men living in more deprived areas. CONCLUSIONS: Greater policy attention needs to be addressed to the heaviest drinking men, to younger men and to men who live in more deprived areas.
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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 | 0.010 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".