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Record W4399789487 · doi:10.33137/utjph.v4i2.41873

COVID-19 Stressors and Cannabis and Alcohol Use in the Canadian Territories

2024· article· en· W4399789487 on OpenAlex
Aranee Sathiyamoorthy, Naomi Schwartz, Erin Hobin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueUniversity of Toronto Journal of Public Health · 2024
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsStressorCoronavirus disease 2019 (COVID-19)Cannabis2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Environmental healthPandemicGeographyPsychiatryPsychologyMedicineVirologyOutbreakInfectious disease (medical specialty)Disease

Abstract

fetched live from OpenAlex

Background: The COVID-19 pandemic and related public health restrictions have been associated with high cannabis and alcohol use among Canadians. Little is known about cannabis and alcohol use in the Canadian territories during the pandemic, despite generally higher substance use rates. This study’s objective was to examine the association between self-reported changes in mental health status and financial stressors resulting from the pandemic on daily/almost daily cannabis use and heavy drinking in the Canadian territories. Methods: This study analyzed data from 993 individuals aged 16 and over residing in the territories collected from September to December 2021 as part of the 2021 Cannabis Policy Study in the Territories. Weighted logistic regression models estimated the association of self-reported mental health status (“worse”/“not worse”) and financial impact (“negative impact”/“no negative impact”) related to the pandemic with daily/almost daily cannabis use (≥5 days per week) and heavy drinking (≥ 4 drinks for women and ≥ 5 drinks for men per occasion at least once a month) in the past 12 months. Models were adjusted for sex, age group, education, perceived income adequacy, territory, ethnicity, living in a capital city, living alone, and having children ≤17 years old. Results: In adjusted models, self-reported worse mental health related to the pandemic had no significant associations with daily/almost daily cannabis use (OR = 1.17, 95% CI:0.72,1.91) and no association with heavy drinking (OR = 1.01, 95% CI:0.63,1.62). Self-reported negative financial impact showed associations above one for daily/almost daily cannabis use (OR = 1.10, 95% CI:0.58,2.08) and with heavy drinking (OR = 1.27, 95% CI:0.75,2.17), though confidence intervals crossed one, indicating no statistical significance. Conclusion: No significant associations were observed between COVID-19 stressors and higher substance use in late 2021. Continued monitoring of the long-term impacts of the pandemic on substance use in the Canadian territories is warranted.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.065
GPT teacher head0.334
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it