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Record W2970840455 · doi:10.1097/cxa.0000000000000058

Psychological and Behavioural Correlates of Cannabis use among Canadian Secondary School Students: Findings from the COMPASS Study

2019· article· en· W2970840455 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Canadian Journal of Addiction · 2019
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsBrock UniversityUniversity of Waterloo
Fundersnot available
KeywordsCannabisPolysubstance dependenceBinge drinkingOddsMedicineLogistic regressionMental healthPsychologyClinical psychologyEcstasyAddictionDemographyPsychiatryEnvironmental healthSubstance abusePoison controlInjury prevention

Abstract

fetched live from OpenAlex

ABSTRACT Objectives: The aim of this study was to investigate the sociodemographic, behavioural, and psychological characteristics of students who reported using cannabis in the school-year preceding cannabis legalization in Canada. Methods: Data were derived from 36,884 students attending 122 schools that participated in year 6 (2017–2018) of the COMPASS Study, a large, prospective cohort study that administers questionnaires annually in high schools across Canada. Multilevel logistic regression models were used to estimate the odds of past-year cannabis use among students. Predictor variables used in the models included indicators of mental health and disorder, other substance use, movement, and students’ sociodemographic characteristics. We tested the moderating effects of polysubstance use with interactions between binge-drinking, cigarette use, and e-cigarette use. Results: One in 4 students reported past-year cannabis use. Factors associated with higher odds of cannabis use included higher grade, more spending money, identifying as indigenous, use of other substances (binge-drinking, cigarettes, e-cigarettes, and opioid use), presence of depressive symptoms, and greater emotional dysregulation. Factors associated with lower odds of cannabis use included increased flourishing, recreational screen time of <2 hours per day, and adequate sleep time of 8 or more hours per night. Significant interactions between concurrent use of other substances on cannabis use were detected. Conclusions: Cross-sectional results suggest that students reporting greater psychological wellbeing and engagement in healthy behaviours are less likely to use cannabis. Future longitudinal research should investigate these associations as protective factors, and how the identified correlates may influence changes in student cannabis use patterns postlegalization. Objectifs: Le but de cette étude était d’examiner les caractéristiques sociodémographiques, comportementales et psychologiques des élèves ayant déclaré avoir consommé du cannabis au cours de l’année scolaire précédant la légalisation du cannabis au Canada. Méthodes: Les données proviennent de 36 884 élèves de 122 écoles ayant participé à la 6e année (2017-2018) de l’étude COMPASS, une vaste étude de cohorte prospective qui administre des questionnaires chaque année dans les écoles secondaires du Canada. Des modèles de régression logistique à plusieurs niveaux ont été utilisés pour estimer les probabilités de consommation de cannabis au cours de la dernière année parmi les étudiants. Les variables prédictives utilisées dans les modèles comprenaient des indicateurs de la santé mentale et des troubles mentaux, de la consommation d’autres substances, des mouvements et des caractéristiques sociodémographiques des élèves. Nous avons testé les effets modérateurs de la consommation de polysomes avec les interactions entre consommation excessive d’alcool occasionnelle, usage de la cigarette et usage de la cigarette électronique. Résultats: Un étudiant sur quatre a déclaré avoir consommé du cannabis au cours de la dernière année. Les facteurs associés à des probabilités de consommation de cannabis plus élevées incluent une classe supérieure, davantage d’argent de poche, l’identification comme étant autochtone, la consommation d’autres substances (consommation excessive d’alcool occasionnelle, cigarettes, cigarettes électroniques et consommation d’opioïdes), la présence de symptômes dépressifs et une plus grande dysfonction émotionnelle. Les facteurs associés à une probabilité plus faible de consommation de cannabis incluaient une durée accrue d’un dépistage de moins de 2 heures par jour, et de sommeil suffisant de 8 heures ou plus par nuit. Des interactions significatives entre la consommation simultanée d’autres substances et la consommation de cannabis ont été détectées. Conclusions: Les résultats transversaux suggèrent que les étudiants qui déclarent un plus grand bien-être psychologique et un comportement plus sain sont moins susceptibles de consommer du cannabis. Les futures recherches longitudinales devraient examiner ces associations en tant que facteurs de protection et déterminer comment les corrélats identifiés peuvent influencer les changements dans les habitudes de consommation de cannabis des élèves après la légalisation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.291
Teacher spread0.268 · 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