Self-reported changes in alcohol and tobacco use during COVID-19: findings from the eastern part of WHO European Region
Bibliographic record
Abstract
BACKGROUND: The COVID-19 pandemic might impact substance use behaviours around the globe. In this study, we investigate changes in alcohol and tobacco use in the second half of 2020 in countries of the eastern part of the WHO European Region. METHODS: Self-reported changes in alcohol and tobacco use among 11 295 adults from 18 countries in the eastern part of the WHO European Region were collected between August 2020 and January 2021. The non-probabilistic sample was weighted for age, gender and education. For each country, proportions of respondents reporting a decrease, no change or increase in substance use over the past 3 months were examined, and multinomial regression models were used to test associations with age, gender and past-year alcohol use. RESULTS: In most countries, about half of the respondents indicating past-year alcohol or tobacco use reported no change in their substance use. Of those alcohol users who reported changes in their alcohol use, a larger proportion reported a decrease than an increase in most countries. The opposite was true for tobacco use. Women, young adults and past-year harmful alcohol users were identified as being more likely to change their substance use behaviour. CONCLUSION: We found diverging overall trends for alcohol and tobacco use in the second half of 2020. The patterns of change vary according to age, gender and past-year substance use. Individuals at risk to increase their substance use during the COVID-19 pandemic require most policy considerations.
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How this classification was reachedexpand
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 | 0.005 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".