Factors associated with cannabis use frequency, cannabis craving, and cannabis-related problems among adults with chronic pain
Notice bibliographique
Résumé
Background: Many adults report using cannabis for the relief of chronic pain. However, the regular use of cannabis, especially high-frequency use, might be accompanied by problems in some persons with chronic pain. To date, the person-specific factors (e.g., sociodemographic, clinical, psychological) that contribute to high-frequency cannabis use among persons with chronic pain remain unclear. Little is also known on the person-specific factors that are associated with cannabis-related problems in this population.Objectives: The first objective of the present thesis was to examine the person-specific factors associated with cannabis use frequency among individuals using cannabis for chronic pain. The second objective was to examine the factors associated with cannabis craving among individuals using cannabis for chronic pain. The third objective was to examine the factors associated with cannabis-related problems in this population.Methods: This study included cross-sectional data from the Canadian Tobacco Alcohol and Drugs Surveys (CTADS) and included adults (n = 395) who reported using cannabis for chronic pain. Structured phone interviews were conducted to assess a host of sociodemographic, clinical, psychological, substance use, and cannabis-related variables.Results: A multivariable logistic regression analysis indicated that men, tobacco smokers, and recreational drug users were significantly more likely to be frequent cannabis users (all p's < .05). A univariate logistic regression analysis also indicated that recreational drug users were significantly more likely to be frequent cannabis cravers than non-users (B = .658, OR = 1.931, p = .039). However, in a subsequent multivariable regression analysis, recreational drug use was no longer significantly associated with cannabis craving and neither were any of the other variables (all p’s > .05). Results from a series of univariate analyses indicated that men, younger individuals, recreational drug users, prescription drug misusers, and frequent cannabis users were more likely to experience cannabis-related problems (all p's < .05). Finally, results from a multivariable logistic regression analysis indicated that men (B = .895, OR = 2.448, p = .004) and frequent cannabis cravers were significantly more likely to experience cannabis-related problems than infrequent cannabis cravers (B = .723, OR = 2.062, p = .014).Conclusions: Findings reported in the present thesis provide valuable new insights into our understanding of person-specific factors that may contribute to cannabis use frequency, cannabis craving, and cannabis-related problems in persons using cannabis for the management of chronic pain. These findings might have implications for clinicians involved in the management of persons with chronic pain who are using cannabis. Findings from the present thesis might ultimately contribute to the prevention or reduction of cannabis-related harms among persons with chronic pain
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».