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Enregistrement W1770840219 · doi:10.1139/jpn.0933

Treatment of comorbid tobacco use in people with serious mental illness

2009· article· en· W1770840219 sur OpenAlexaffvenue
Katrina Lising-Enriquez, Tony P. George

Notice bibliographique

RevueJournal of Psychiatry and Neuroscience · 2009
Typearticle
Langueen
DomaineMedicine
ThématiqueSmoking Behavior and Cessation
Établissements canadiensCentre for Addiction and Mental Health
Organismes subventionnairesnon disponible
Mots-clésPsychiatryMedicineAnxietyPopulationSmoking cessationMental illnessBipolar disorderPsychosocialMoodMental health

Résumé

récupéré en direct d'OpenAlex

Rates of cigarette smoking among people with psychiatric disorders (e.g., schizophrenia, mood and anxiety disorders) are 2- to 4-fold higher than in the general population. Social, environmental, psychological and neurobiological factors may account for this high rate of comorbid smoking. Psychosocial factors, especially stress and availability, may increase susceptibility to smoking behaviour in those with and without psychiatric illness. Cigarette smoking may be used to remedy clinical symptoms (e.g., depression, dysphoria), medication-induced side effects and cognitive deficits accompanying psychiatric illness. Ms. S., a 38-year-old outpatient at a tertiary care mental health facility with a history of paranoid schizophrenia, was prescribed 200 mg of quetiapine twice daily for her psychosis, and an albuterol inhaler and 10 mg/d of prednisone for her chronic obstructive pulmonary disease. She had a 23-year smoking history (1 pack/d) with at least 10 previous quit attempts. She had used nicotine replacement products (i.e., transdermal nicotine patch, gum, lozenges) but she had never been able to quit for more than a few days. She said she liked the taste of cigarettes and that they “help pass the time” and allowed her to socialize with others at her group home. Moreover, she said smoking alleviated some side effects of her antipsychotic medication, which made her feel “restless” and “dull.” Two months later, Ms. S. presented to staff at the clinic upset after hearing that her “favorite uncle” had lung cancer. She reported a family history of smoking and lung cancer. She feared that she might get lung cancer too and wanted to quit, but was uncertain that quitting would make a difference for her health. Ms. S. was in the “contemplation” stage of the Stages of Change model, and her case worker started motivational interviewing to resolve her ambivalence about quitting. Using non-pharmacologic interventions such as cognitive–behavioural therapy helped her identify triggers and target mal-adaptive coping mechanisms. She was advised to increase her physical activity to limit cessation-related weight gain. Ms. S. was started on 150 mg/d of sustained-release bupropion (Zyban) for 3 days; the dose was then increased to 150 mg twice daily.1 On the 8th day, she set her target quit date and began using a transdermal nicotine patch (21 mg/d) to further reduce tobacco withdrawal and cravings. Although she admitted to occasional urges to smoke, she reported a decrease in cravings and quit smoking 2 weeks after the target quit date. Treatment was maintained for 12 weeks2,3 and, upon completion of the trial, she elected to continue counselling to prevent tobacco relapse. At 1-year follow-up, she had occasional urges to smoke but remained tobacco-free. Given the heterogeneity of psychiatric diagnoses comorbid with tobacco dependence, smoking cessation treatments should ideally be tailored to the individual diagnosis and historical treatment response. Schizophrenia has one of the highest rates of smoking (58%–88%),4 and the most studied treatment is sustained-release bupropion. An intervention consisting of weekly cognitive–behavioural psychotherapy sessions, transdermal nicotine patch and bupropion showed substantial abstinence rates among smokers with schizophrenia (~35%), with long-term (6 mo) quit rates approaching 14%,3 which is similar to that in non-comorbid smokers.4 Similarly, studies with bupropion (300 mg/d) have yielded promising results for smokers with comorbid unipolar and bipolar disorder and posttraumatic stress disorder. Since bupropion is metabolized by CYP 2D6,5 special precaution should be considered when coadministering bupropion with CYP 2D6 inhibitors such as risperidone and first-generation antipsychotics (e.g., haloperidol, chlorpromazine). Interestingly, second-generation antipsychotics may facilitate smoking reduction and cessation when combined with standard tobacco treatments.6 The most recent treatment option is varenicline (Champix), a nicotinic receptor partial agonist that diminishes the reinforcing effects of nicotine and alleviates withdrawal and craving symptoms. There have been reports that varenicline may increase the risk of impulsivity, aggression and suicidal ideation, particularly in smokers with a history of psychiatric disorders, therefore, careful monitoring is strongly suggested.7 It is imperative that mental health clinicians learn to address tobacco issues more aggressively, given the health risks of tobacco to our patients.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,010

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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.

Tête enseignante Opus0,022
Tête enseignante GPT0,296
Écart entre enseignants0,274 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations20
Publié2009
Routes d'admission2
Résumé présentoui

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