Alcohol and smoking brief interventions by socioeconomic position: a population-based, cross-sectional study in Great Britain
Bibliographic record
Abstract
BACKGROUND: Alcohol and smoking brief interventions (BIs) in general practice have been shown to be effective in lowering alcohol and smoking-related harm. AIM: To assess prevalence of self-reported BI receipt among increasing or higher-risk drinkers and past-year smokers in England, Scotland, and Wales, and associations between intervention receipt and socioeconomic position. DESIGN & SETTING: Cross-sectional study using data from a monthly population-based survey in England, Scotland, and Wales. METHOD: The study comprised 47 799 participants (15 573 increasing or higher-risk drinkers [alcohol use disorders identification test consumption score ≥5] and 7791 past-year smokers) surveyed via telephone in 2020-2022 (during the COVID-19 pandemic). All data were self-reported. Prevalence of self-reported BI receipt was assessed descriptively; associations between receipt and socioeconomic position were analysed using logistic regression. RESULTS: Among adults in England, Scotland, and Wales, 32.2% (95% confidence interval [CI] = 31.8 to 32.7) reported increasing or higher-risk drinking and 17.7% (95% CI = 17.3 to 18.1) past-year smoking. Among increasing or higher-risk drinkers, 58.0% (95% CI = 57.1 to 58.9) consulted with a GP in the past year, and of these, 4.1% (95% CI = 3.6 to 4.6) reported receiving BIs. Among past-year smokers, 55.8% (95% CI = 54.5 to 57.1) attended general practice in the past year; of these, 41.0% (95% CI = 39.4 to 42.7) stated receiving BIs. There was a tendency for patients from socioeconomically disadvantaged backgrounds to receive more alcohol (adjusted odds ratio [aOR] 1.38, 95% CI = 1.10 to 1.73) or smoking BIs (aOR 1.11, 95% CI = 0.98 to 1.26), but for the latter the results were statistically non-significant. Results did not differ notably by nation within Great Britain. CONCLUSION: BIs in general practice are more common for smoking than for alcohol. A greater proportion of BIs for alcohol were found to be delivered to people who were from socioeconomically disadvantaged backgrounds and who were increasing or higher-risk drinkers.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".