Sex differences in nicotine dependence among addictions clients accessing a smoking cessation programme in Vancouver, British Columbia, Canada
Notice bibliographique
Résumé
Accessible summary The purpose of this study was to examine differences in substance use disorders, psychiatric disorders and nicotine dependence among 323 women and men accessing a smoking cessation programme in an addiction treatment setting in Vancouver, British Columbia, Canada. Individuals with substance use and psychiatric disorders have smoking prevalence rates nearly double that of the general population. Yet, there are distinct differences between men and women in their smoking behaviour and responses to smoking cessation treatment. Few studies have examined such sex differences among individuals with substance use and psychiatric disorders. The study found that compared with individuals with no psychiatric diagnosis, those with a mood, anxiety and psychotic disorders were significantly more likely to be female; whereas compared with those without a substance use disorder, individuals with alcohol, cocaine or marijuana disorder were more likely to be male. Moreover, among women having an anxiety disorder history and smoking a greater number of cigarettes per day were significantly associated with high nicotine dependence. Among men, smoking a greater number of cigarettes per day and having a lower confidence in quitting were significantly associated with high nicotine dependence. These findings suggest the need for appropriate assessment of smoking behaviour and nicotine dependence among individuals accessing addictions treatment services. Moreover, these findings further provide evidence of the need for tailored interventions for tobacco dependence among men and women with histories of substance use and psychiatric disorder. Abstract Most individuals in drug treatment programmes use tobacco and are dependent on nicotine. For 323 participants (65% men, mean age = 49.3 years) with a history of substance use disorder (SUD) and/or psychiatric disorders (PD) enrolled in a tobacco dependence clinic programme, we compared baseline characteristics among women and men and examined factors associated with nicotine dependence (ND). Individuals with mood, anxiety and psychotic disorders were more likely to be female, whereas men were more likely to be characterized by alcohol, cocaine and marijuana use, older age, older age at smoking initiation and higher confidence in quitting smoking scores. In stratified multivariate analyses, among women, history of an anxiety disorder and a greater number of cigarettes smoked per day were associated with higher ND scores; among men, a greater number of cigarettes smoked per day and higher confidence in quitting scores were associated with higher ND scores. Given the differences in smoking, SUD and PD histories between women and men accessing addiction treatment, and differential associations with ND, it is important to further explore factors that may enhance tailored treatments and inform future studies examining biological and psychosocial factors for tobacco use in SUD and PD treatment populations.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».