Changes in alcohol consumption during the COVID-19 pandemic: exploring gender differences and the role of emotional distress
Bibliographic record
Abstract
INTRODUCTION: Restrictions to do with the COVID-19 pandemic have had substantial unintended consequences on Canadians' alcohol consumption patterns, including increased emotional distress and its potential impact on alcohol use. This study examines 1) changes in adults' alcohol consumption during the COVID-19 pandemic in New Brunswick and Nova Scotia; 2) whether drinking more frequently during the pandemic is associated with increased feelings of stress, loneliness and hopelessness; and 3) whether gender moderates this relationship. METHODS: Participants were drawn from a cross-sectional survey of 2000 adults. Adjusted multinomial regression models were used to assess the association between drinking frequency and increased feelings of stress, loneliness and hopelessness. Additional analyses were stratified by gender. RESULTS: About 12% of respondents reported drinking more frequently after the start of the COVID-19 pandemic, and 25%-40% reported increased emotional distress. Increased feelings of stress (odds ratio [OR] = 1.99; 95% confidence interval [CI]: 1.35-2.93), loneliness (OR = 1.79; 95% CI: 1.22-2.61) and hopelessness (OR = 1.98; 95% CI: 1.21-3.23) were all associated with drinking more frequently during the pandemic. While women respondents reported higher rates of emotional distress, significant associations with increased drinking frequency were only observed among men in gender-stratified analyses. CONCLUSION: Individuals who report increased feelings of stress, loneliness and hopelessness during the COVID-19 pandemic were more likely to report increased drinking frequency; however, these associations were only significant for men in stratified analyses. Understanding how the pandemic is associated with mental health and drinking may inform alcohol control policies and public health interventions to minimize alcohol-related harm.
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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 | 0.000 | 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 | 0.000 | 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".