Loneliness and cannabis use among older adults: findings from a Canada national survey during the COVID-19 pandemic
Bibliographic record
Abstract
BACKGROUND: Cannabis use has been increasing among older adults in Canada, particularly during the COVID-19 pandemic. This study aims to examine the association between loneliness and cannabis use among older Canadians during the pandemic. METHODS: Quantitative data analyses were performed based on 2,020 participants aged 55 years and older from the Canadian Perspectives Survey Series 6, 2021: Substance Use and Stigma During the Pandemic. RESULTS: This study found that participants who used cannabis in the 30 days before the survey reported significantly higher loneliness scores than those who never used cannabis after adjusting social-demographic, social interaction, and pandemic-related factors. Participants who kept using cannabis during the pandemic also reported significantly higher loneliness scores than those who never used cannabis. CONCLUSION: The findings about the correlation between cannabis use and greater loneliness contribute to the discourse on potential health and wellbeing harms of cannabis use among older adults.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".