Impact of the COVID-19 pandemic on smoking behavior and beliefs among the American University of Beirut community
Bibliographic record
Abstract
INTRODUCTION: The current COVID-19 outbreak has led to sudden changes in routine and modifications in health behaviors. The study presented here investigates the changes in smoking behavior and beliefs due to the pandemic among a sample of individuals at the American University of Beirut (AUB) in Lebanon, between August and September 2020. METHODS: This is a cross-sectional exploratory study based on data collected through an anonymous, web-based questionnaire. We performed descriptive and univariate analysis on sociodemographic factors, smoking practices, smoking behavior changes, and smoking beliefs. RESULTS: In all, 197 participants (65.5% never smokers, 8.1% former smokers, and 26.4% current smokers) completed the online survey. Of these, 19.3% reported a change in their smoking behavior in the last four months, with an equal number of participants increasing and decreasing smoking. Univariate analysis showed that fear of contracting coronavirus and personal health concerns were significantly associated with a decrease in smoking. In contrast, the stress associated with the COVID-19 crisis and the economic crisis was associated with an increase in smoking. CONCLUSIONS: The current COVID-19 outbreak has resulted in unexpected alterations in routine and changes in health behaviors. A quarter of all participants said they had changed their smoking habits, with an equal percentage saying they had increased or decreased their smoking. Future research is needed to look into changes in smoking behavior in a more representative group.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".