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Record W4324137674 · doi:10.1136/oem-2023-epicoh.21

O-124 Cannabis use and the risk of workplace injury: findings from a longitudinal study of Canadian workers

2023· article· en· W4324137674 on OpenAlex
Nancy Carnide, Victoria Landsman, Hyunmi Lee, Andrea D Furlan, Peter Smith

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAbstracts · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsUniversity Health NetworkInstitute for Work & HealthToronto Rehabilitation InstitutePublic Health OntarioUniversity of Toronto
FundersUniversity of Toronto
KeywordsCannabisOccupational safety and healthInjury preventionMedicineHuman factors and ergonomicsPoison controlEnvironmental healthSuicide preventionConfidence intervalLongitudinal studyWorkplace violencePsychologyPsychiatry

Abstract

fetched live from OpenAlex

<h3>Introduction</h3> Social and legislative changes in cannabis use worldwide have led to renewed interest in the potential impacts of cannabis use on occupational safety. Previous studies examining the relationship between cannabis use and workplace injury have yielded mixed findings, likely due to methodological shortcomings, including cross-sectional study designs and broad measures of exposure that lack consideration for timing of use. Using data from a national longitudinal study of Canadian workers, the objective was to examine the relationship between cannabis use, including workplace use, and the risk of workplace injury. <h3>Materials and Methods</h3> Surveys were conducted yearly from 2018 to 2020. Two exposures were examined: 1) general cannabis use (never, former, past-year) and past-year workplace cannabis use (no use, non-workplace use, workplace use), with workplace use referring to use two hours before work, use during work and/or use during breaks. The outcome was past-year workplace injury (yes/no). Workers participating in adjacent surveys were included in analyses (n=2,745). Relative risks (RR) and 95% confidence intervals (CIs) were estimated between each exposure and workplace injury, using exposures measured at the survey immediately preceding the outcome. Models were adjusted for various sociodemographic, health, and work variables. <h3>Results</h3> When examining general cannabis use, compared to never use, no relationship was seen for former use (RR 1.09, 95%CI 0.84–1.42), while past-year use was associated with a 30% increased risk of workplace injury (95%CI 0.99 -1.72). When examining workplace cannabis use, compared to no past-year use, there was no difference in risk of workplace injury for past-year non-workplace use (RR 1.11, 95%CI 0.87–1.41). However, workers reporting past-year workplace use were at an almost two-fold increased risk of experiencing a workplace injury (RR 1.86, 95%CI 1.30–2.66). <h3>Conclusions</h3> It is important to distinguish non-workplace and workplace use when considering workplace safety impacts of cannabis use.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.240

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.027
GPT teacher head0.223
Teacher spread0.196 · 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