Smoking Cessation Outcomes among Individuals with a History of Psychotic Disorders as Compared to Those without
Notice bibliographique
Résumé
Background: Psychotic disorders (e.g., Schizophrenia, schizoaffetive disorder) are associated with a higher smoking prevalence (relative to other psychiatric disorders) and smoking attributable mortality. Until recently, little has been done to address the disproportionate smoking in this population. The objectives of our study are to: 1) describe the characteristics of smokers with a history of psychiatric disorders (i.e., none, psychotic, and depressive/anxiety) and 2) examine smoking cessation/reduction outcomes by history of psychiatric disorders.\nMethods: Retrospective analyses were conducted from charts of 982 participants accessing a tailored, evidence-based, tobacco treatment program within mental health and addictions services in Vancouver, Canada. Demographics, tobacco use and cessation attempt history, nicotine dependence, importance and confidence in quitting smoking, expired carbon monoxide (expCO) level, history of polysubstance use, and total visits to the program were obtained. Main outcomes were: a) 7-day prevalence of smoking abstinence verified by expCO and b) a 50% reduction in baseline cigarette consumption verified by expCO (for those who did not achieve abstinence).\nResults: As compared to individuals with no psychiatric disorder, those with psychotic disorders were more likely to have initiated smoking later, report lower importance and confidence in quitting, smoke a greater number of cigarettes per day, and be more nicotine dependent. Among program completers (n=543), 35.7% of individuals with a psychotic disorder achieved smoking cessation (as compared to no psychiatric disorder =45.6% vs. depressive/anxiety disorder=39.6%, p=.350). Similarly, 59.3% of individuals with a psychotic disorder achieved smoking reduction (as compared to no psychiatric disorder=74.1% vs. vs. depressive/anxiety=67.3%, p=.370) among those who did not achieve abstinence at the end of treatment (n=244). In multivariate analysis, significant predictors of successful smoking cessation were: a) having a greater number of visits to the program among individuals without a psychiatric disorders, b) having a lower baseline expCO level among individuals with psychotic disorder, and c) a greater number of visits to the program and a greater length of abstinence at the last quit attempt among individuals with depressive/anxiety disorders.\nConclusion: Individuals with a history of psychotic disorders are able to achieve smoking cessation when provided evidence-based treatment. However, tailored approaches specific to the needs of individuals with psychotic disorders may be warranted to enhance cessation outcomes. Hence, future studies may be required to further understand how to tailor treatment outcomes and modify existing treatment approaches to optimize outcomes among individuals with a history of psychotic disorders and other psychiatric disorders.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 tête enseignante, 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 ».